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108,318 candidate doc → node links pending adjudication. Each was auto-generated by cosine similarity ≥ 0.55 between document and prediction embeddings (bge-base-en-v1.5, 768-dim). Showing page 5 of 7, 500 rows by similarity. Adjudicating updates doc_node_links.reviewed=true with the chosen polarity, writes per-link rows to audit_log, and removes the row from this queue. Phase 4 inference will use confirmed corroborates/contradicts links as Bayesian evidence.
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| Sim | Doc | Source | Pred | Domain | Prior | |
|---|---|---|---|---|---|---|
| 0.59 | github_release 2019-09-10 | CMQ_015 Algorithmic efficiencies will deliver ~0.5 OOMs per year of additional effective compute through 2027 — pure multiplier on raw FLOPs. Leopold Aschenbrenner | AI | 50% | ||
| 0.59 | github_release 2026-06-23 | FUT_024 XPT 2022 tournament assigned mere 2.3% probability to AI achieving gold-medal performance in International Mathematical Olympiad by 2025 — actual achievement empirically reached forcing systemic re-evaluation within forecasting community. Historical tr... Superforecaster Community | AI | 100% | ||
| 0.59 | github_release 2022-03-08 | 231_015 Next Deep Seek model release will be when Chinese open-weight models catch up to American frontier models. Alex Wissner-Gross | AI | 34% | ||
| 0.59 | github_release 2020-01-08 | 238_009 Recursive self-improvement is already happening now (no longer three years out) Alex Wissner-Gross | AI | 78% | ||
| 0.59 | github_release 2025-11-17 | 232_012 US-China AI situation about to get more complicated regarding open source models and secrets. Ben Horowitz | Geopolitics | 44% | ||
| 0.59 | github_release 2025-09-29 | 237_019 Code generation models are pushing development in the direction of TypeScript instead of Rust for memory safety. Alex Wissner-Gross | AI | 35% | ||
| 0.59 | github_release 2023-09-26 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.59 | github_release 2026-01-18 | 234_048 Next major revolutions in foundation models will come from small language models Alex Wissner-Gross | AI | 41% | ||
| 0.59 | github_release 2025-12-19 | 230_040 AI capability/accuracy will improve recursively; output-checking issues will be eliminated quickly. Peter Diamandis | AI | 27% | ||
| 0.59 | github_release 2025-12-19 | 239_003 We are currently in AI hard takeoff Elon Musk | AI | 47% | ||
| 0.59 | github_release 2025-12-19 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.59 | github_release 2019-05-30 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.59 | github_release 2019-05-30 | CMQ_044 Future data-center architectures optimized for agentic workflows may require 1:2 or even 2:1 CPU-to-GPU ratio (vs historical 1:12) to prevent GPU idle-waiting. Morgan Stanley | AI/Compute | 65% | ||
| 0.59 | github_release 2025-07-08 | S_ROBOTAXI_TESLA_2026 Tesla FSD unsupervised wide deployment by Nov 2026 | robotaxi_deployment | 40% | ||
| 0.59 | github_release 2025-03-05 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.59 | github_release 2025-04-09 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2024-09-26 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2024-06-14 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2024-03-21 | 238_024 AI token speed will jump from ~50 tokens/sec to ~1,000 tokens/sec (Cerebras) Emad Mostaque | AI | 37% | ||
| 0.59 | github_release 2021-06-22 | AUT_021 Defining software movement of 2026: startups building autonomous platforms specifically designed to clean/structure/continuously validate multimodal data — unstructured corporate sludge (PDFs, logs, videos, emails) causes autonomous agentic workflows t... Marc Andreessen | AI | 52% | ||
| 0.59 | github_release 2021-01-23 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.59 | github_release 2022-12-08 | AI_025 Most current generative AI wrappers are transient — they will fade into the background as infrastructure layers, analogous to Radio Shack fading in the Windows/PC era; winners will be infrastructure and verticalized depth plays, not thin API-wrapper apps. Mark Cuban | AI | 60% | ||
| 0.59 | github_release 2021-08-19 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.59 | github_release 2026-05-30 | 237_009 ChatGPT will release a model specifically for OpenClaw within the next 6 months. Alex Finn | AI | 31% | ||
| 0.59 | github_release 2026-06-04 | 229_001 Figure will put robots on its own manufacturing lines (BotQ) this year to build robots. Brett Adcock | Robotics | 39% | ||
| 0.59 | github_release 2021-11-02 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.59 | github_release 2026-03-23 | 242_044 Base AI models becoming commodity; value migrates up the stack Alex Wissner-Gross | AI | 35% | ||
| 0.59 | github_release 2026-02-17 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2025-10-13 | 242_055 Activist investing will be disrupted by AI writing open letters to public firms Alex Wissner-Gross | Markets/Stocks | 34% | ||
| 0.59 | github_release 2025-10-09 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | ||
| 0.59 | github_release 2025-09-16 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.59 | github_release 2019-08-14 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2024-02-22 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.59 | github_release 2020-03-08 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2026-04-06 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.59 | github_release 2026-06-22 | 232_014 Recursive self-improvement is already here, not 12 months away. Alex Wissner-Gross | AI | 70% | ||
| 0.59 | github_release 2023-09-05 | TK04 Macro Recession 2026-27 (Structural Deleveraging) | — | 25% | ||
| 0.59 | github_release 2023-01-12 | 235_005 AI capability will grow 100x this year in raw parameter count as lower bound. Dave Blundin | AI | 49% | ||
| 0.59 | github_release 2023-01-12 | AI_010 The 2026 development landscape has entered the 'Slopacolypse' — AI writes the vast majority of new code, developer manual-coding skills atrophy, and engineering transitions from syntax-writing to high-level architectural prompting and 'vibe coding'. Andrej Karpathy | AI | 90% | ||
| 0.59 | github_release 2022-08-25 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.59 | github_release 2022-08-25 | INF_072 There is approximately a 50/50 chance that simply scaling existing methodologies (transformer architecture + more data + more compute) will be enough to reach AGI — though "nowhere near" human-level AGI currently. Demis Hassabis | AI | 40% | ||
| 0.59 | github_release 2026-04-22 | CMQ_055 Multimodal voice recognition powered by generative AI will serve as the default user interface for humanoid physical workers — speak instructions, robot executes. Brett Adcock | Robotics | 29% | ||
| 0.59 | github_release 2025-03-11 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.59 | github_release 2023-08-17 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.59 | github_release 2025-04-23 | 237_018 We are seeing a Cambrian explosion of OpenClaw variants (PicoClaw, IronClaw, NanoClaw, Nanobot, etc.) with many more to come. Alex Wissner-Gross | AI | 40% | ||
| 0.59 | github_release 2022-12-08 | COD_BIO_005 Colossal adds at least one more de-extinction species to active embryo-transfer pipeline by end 2028 Codex Research Pack | Biotech/Longevity | 47% | ||
| 0.59 | github_release 2022-06-15 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.59 | github_release 2026-03-06 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.59 | github_release 2025-01-31 | COD_SPC_005 NASA Dragonfly launches on Falcon Heavy in the July 2028 window Codex Research Pack | Space | 33% | ||
| 0.59 | github_release 2019-05-30 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2026-03-17 | TK04 Macro Recession 2026-27 (Structural Deleveraging) | — | 25% | ||
| 0.59 | github_release 2023-04-10 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.59 | github_release 2023-03-08 | 241_037 Chinese AI strategy will stay open source / open weights Eric Schmidt | AI | 49% | ||
| 0.59 | github_release 2025-05-28 | AI_010 The 2026 development landscape has entered the 'Slopacolypse' — AI writes the vast majority of new code, developer manual-coding skills atrophy, and engineering transitions from syntax-writing to high-level architectural prompting and 'vibe coding'. Andrej Karpathy | AI | 90% | ||
| 0.59 | github_release 2025-12-18 | 241_011 By end of 2026, no one will write code manually - it'll be a quaint skill Peter Diamandis | Labor/Jobs | 47% | ||
| 0.59 | github_release 2020-09-03 | 242_051 Dyson swarm compute infrastructure will be realized in a few years Alex Wissner-Gross | Space | 24% | ||
| 0.59 | github_release 2026-05-30 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2025-03-25 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.59 | github_release 2021-11-15 | CMQ_058 Localized hardware setups (multiple Apple Mac Studios, dedicated 'AI Max 300' silicon) will allow developers to run powerful inference workloads directly on-premises — reducing cloud dependency. Alex Finn | AI/Compute | 59% | ||
| 0.59 | github_release 2020-11-06 | CMQ_058 Localized hardware setups (multiple Apple Mac Studios, dedicated 'AI Max 300' silicon) will allow developers to run powerful inference workloads directly on-premises — reducing cloud dependency. Alex Finn | AI/Compute | 59% | ||
| 0.59 | github_release 2020-03-05 | 229_042 Figure believes there will be a single omni-model fusing language, vision, action, memory — not multiple specialized neural nets per task. Brett Adcock | AI | 40% | ||
| 0.59 | github_release 2018-12-19 | 241_011 By end of 2026, no one will write code manually - it'll be a quaint skill Peter Diamandis | Labor/Jobs | 47% | ||
| 0.59 | github_release 2026-03-23 | 245_025 Colossal gene editing efficiency has risen from 15% industry / 40% internal to 90% at hundreds of edits Ben Lamm | Biotech/Longevity | 80% | ||
| 0.59 | github_release 2021-01-05 | 234_048 Next major revolutions in foundation models will come from small language models Alex Wissner-Gross | AI | 41% | ||
| 0.59 | github_release 2025-11-28 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2026-06-18 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.59 | github_release 2026-06-29 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.59 | github_release 2023-09-05 | 229_047 Figure's 3,000 B200 GPU cluster is coming online for Helix pre-training with much larger GPUs planned. Brett Adcock | AI | 77% | ||
| 0.59 | github_release 2026-01-13 | 239_013 Tesla will release an improved Optimus design every year Elon Musk | Robotics | 37% | ||
| 0.59 | github_release 2025-09-03 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.59 | github_release 2025-08-13 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.59 | github_release 2023-08-31 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.59 | github_release 2026-01-21 | 237_002 We will see a lot of evolution and many OpenClaw variants emerging very quickly as an early domain being developed. Peter Diamandis | AI | 55% | ||
| 0.59 | github_release 2023-05-08 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.59 | github_release 2025-01-27 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.59 | github_release 2022-12-08 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.59 | github_release 2022-06-15 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.59 | github_release 2022-06-15 | CYB_003 Localized, ungoverned multi-agent networks will spontaneously generate their own social networks, governance manifestos, debated ethics, and closed-loop digital economies — exemplified by the Moltbook platform in early 2026 where 150,000+ autonomous AI... Alex Finn | AI | 55% | ||
| 0.59 | github_release 2023-12-06 | 248_050 Opus 4.7 removes manual dials; prompts become the new hyperparameters. Alex Wissner-Gross | AI | 45% | ||
| 0.59 | github_release 2025-08-21 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.59 | github_release 2025-04-23 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.59 | github_release 2025-11-19 | AUT_021 Defining software movement of 2026: startups building autonomous platforms specifically designed to clean/structure/continuously validate multimodal data — unstructured corporate sludge (PDFs, logs, videos, emails) causes autonomous agentic workflows t... Marc Andreessen | AI | 52% | ||
| 0.59 | github_release 2026-04-21 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2025-05-14 | 248_050 Opus 4.7 removes manual dials; prompts become the new hyperparameters. Alex Wissner-Gross | AI | 45% | ||
| 0.59 | github_release 2025-09-17 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.59 | github_release 2024-01-03 | 248_032 First-generation neural uploads will be destructive; 2nd-4th generation will be non-destructive. Alex Wissner-Gross | Biotech/Longevity | 42% | ||
| 0.59 | github_release 2026-04-26 | CMQ_058 Localized hardware setups (multiple Apple Mac Studios, dedicated 'AI Max 300' silicon) will allow developers to run powerful inference workloads directly on-premises — reducing cloud dependency. Alex Finn | AI/Compute | 59% | ||
| 0.59 | github_release 2020-08-04 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.59 | github_release 2025-10-13 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.59 | github_release 2025-09-18 | COD_BIO_001 FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026 Codex Research Pack | Biotech/Longevity | 47% | ||
| 0.59 | github_release 2018-09-26 | AI_025 Most current generative AI wrappers are transient — they will fade into the background as infrastructure layers, analogous to Radio Shack fading in the Windows/PC era; winners will be infrastructure and verticalized depth plays, not thin API-wrapper apps. Mark Cuban | AI | 60% | ||
| 0.59 | github_release 2026-06-18 | AI_025 Most current generative AI wrappers are transient — they will fade into the background as infrastructure layers, analogous to Radio Shack fading in the Windows/PC era; winners will be infrastructure and verticalized depth plays, not thin API-wrapper apps. Mark Cuban | AI | 60% | ||
| 0.59 | github_release 2025-10-10 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.59 | github_release 2023-09-19 | 238_009 Recursive self-improvement is already happening now (no longer three years out) Alex Wissner-Gross | AI | 78% | ||
| 0.59 | github_release 2023-09-19 | 247_012 The bar for AI startups will rise to require being recursively self-improving Alex Wissner-Gross | AI | 32% | ||
| 0.59 | github_release 2023-10-03 | 242_034 AI could compress S&P 500 equity valuations 2-7x free cash flow (down from 22x) Chamath Palihapitiya | Markets/Stocks | 38% | ||
| 0.59 | github_release 2026-01-16 | 229_001 Figure will put robots on its own manufacturing lines (BotQ) this year to build robots. Brett Adcock | Robotics | 39% | ||
| 0.59 | github_release 2026-01-16 | 229_045 Figure will not differentiate by vertical form factor—general-purpose humanoid is the bet. Brett Adcock | Robotics | 28% | ||
| 0.59 | github_release 2026-01-16 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.59 | github_release 2025-10-14 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.59 | github_release 2025-09-04 | 229_001 Figure will put robots on its own manufacturing lines (BotQ) this year to build robots. Brett Adcock | Robotics | 39% | ||
| 0.59 | github_release 2024-07-23 | 239_013 Tesla will release an improved Optimus design every year Elon Musk | Robotics | 37% | ||
| 0.59 | github_release 2025-09-17 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.59 | github_release 2024-10-24 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.59 | github_release 2026-01-21 | 237_018 We are seeing a Cambrian explosion of OpenClaw variants (PicoClaw, IronClaw, NanoClaw, Nanobot, etc.) with many more to come. Alex Wissner-Gross | AI | 40% | ||
| 0.59 | github_release 2024-10-29 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.59 | github_release 2020-05-25 | COD_ROB_002 1X ships first paid NEO Early Access units to US homes in 2026 Codex Research Pack | Robotics | 27% | ||
| 0.59 | github_release 2026-03-23 | 241_011 By end of 2026, no one will write code manually - it'll be a quaint skill Peter Diamandis | Labor/Jobs | 47% | ||
| 0.59 | github_release 2022-06-15 | IND_005 Convergence of computational biology + AI-driven data modeling + CRISPR gene editing enables bringing back extinct species — Form Bio platform (spun out 2022) enables successful resurrection of woolly mammoth and Tasmanian tiger within the decade (by ~... Ben Lamm | Biotech/Longevity | 33% | ||
| 0.59 | github_release 2026-03-17 | 242_048 FDA will move to zero clinical trial model given enough Bayesian/computational evidence Alex Wissner-Gross | Biotech/Longevity | 31% | ||
| 0.59 | github_release 2026-04-16 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.59 | github_release 2025-12-08 | 232_014 Recursive self-improvement is already here, not 12 months away. Alex Wissner-Gross | AI | 70% | ||
| 0.59 | github_release 2025-08-21 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.59 | github_release 2025-04-23 | 248_022 Deepseek-style hyperdeflation moments from algorithmic innovation will become more frequent but less effective at causing price swings. Alex Wissner-Gross | Markets/Stocks | 42% | ||
| 0.59 | github_release 2021-02-22 | 235_010 Plugins/marketplaces will get built into baseline models and won't need to exist independently. Alex Wissner-Gross | AI | 38% | ||
| 0.59 | github_release 2021-05-13 | 248_037 State data-center moratoriums will accelerate Dyson-swarm / orbital compute innovation due to constriction. Alex Wissner-Gross | AI | 14% | ||
| 0.59 | github_release 2021-02-01 | 242_051 Dyson swarm compute infrastructure will be realized in a few years Alex Wissner-Gross | Space | 24% | ||
| 0.59 | github_release 2020-09-03 | 237_002 We will see a lot of evolution and many OpenClaw variants emerging very quickly as an early domain being developed. Peter Diamandis | AI | 55% | ||
| 0.59 | github_release 2021-11-15 | 229_047 Figure's 3,000 B200 GPU cluster is coming online for Helix pre-training with much larger GPUs planned. Brett Adcock | AI | 77% | ||
| 0.59 | github_release 2020-11-06 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2025-10-13 | COD_BIO_001 FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026 Codex Research Pack | Biotech/Longevity | 47% | ||
| 0.59 | github_release 2025-09-24 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.59 | github_release 2019-06-20 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2026-06-15 | 234_004 Mistral will emerge as a vertically integrated European OpenAI Alex Wissner-Gross | AI | 35% | ||
| 0.59 | github_release 2024-02-22 | INF_035 Advanced U.S. manufacturing capacity for 3D-printed liquid-cooling plates will scale rapidly — Fabric8Labs secured $50M (NEA + Intel Capital) specifically to address the AI-DC thermal bottleneck with electrochemically-deposited intricate cold-plate geo... Fabric8Labs (NEA / Intel Capital funded) | Semis | 65% | ||
| 0.59 | github_release 2021-12-16 | 248_032 First-generation neural uploads will be destructive; 2nd-4th generation will be non-destructive. Alex Wissner-Gross | Biotech/Longevity | 42% | ||
| 0.59 | github_release 2026-06-18 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2026-05-26 | 232_014 Recursive self-improvement is already here, not 12 months away. Alex Wissner-Gross | AI | 70% | ||
| 0.59 | github_release 2026-04-20 | AI_025 Most current generative AI wrappers are transient — they will fade into the background as infrastructure layers, analogous to Radio Shack fading in the Windows/PC era; winners will be infrastructure and verticalized depth plays, not thin API-wrapper apps. Mark Cuban | AI | 60% | ||
| 0.59 | github_release 2026-06-29 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.59 | github_release 2023-09-19 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.59 | github_release 2023-09-19 | 248_032 First-generation neural uploads will be destructive; 2nd-4th generation will be non-destructive. Alex Wissner-Gross | Biotech/Longevity | 42% | ||
| 0.59 | github_release 2026-01-16 | 229_042 Figure believes there will be a single omni-model fusing language, vision, action, memory — not multiple specialized neural nets per task. Brett Adcock | AI | 40% | ||
| 0.59 | github_release 2025-02-14 | 234_048 Next major revolutions in foundation models will come from small language models Alex Wissner-Gross | AI | 41% | ||
| 0.59 | github_release 2024-07-23 | 245_007 Colossal will bring back the woolly mammoth Ben Lamm | Biotech/Longevity | 45% | ||
| 0.59 | github_release 2024-07-23 | INF_026 'Software 3.0' LLM infrastructure will operate like public utilities — requiring massive upfront capex (training compute, specialized hardware), specialized networking protocols for synchrony across hundreds of thousands of GPUs, and flawless uninterru... Andrej Karpathy | AI | 64% | ||
| 0.59 | github_release 2023-08-17 | CMQ_030 In the modern AI pipeline, the CPU no longer merely supports the model — it drives the model (agentic workloads invert historical CPU:GPU ratio). Jensen Huang | AI/Compute | 34% | ||
| 0.59 | github_release 2024-02-22 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2026-05-05 | CMQ_058 Localized hardware setups (multiple Apple Mac Studios, dedicated 'AI Max 300' silicon) will allow developers to run powerful inference workloads directly on-premises — reducing cloud dependency. Alex Finn | AI/Compute | 59% | ||
| 0.59 | github_release 2026-01-18 | 232_056 Every single discipline (math, physics, chemistry, medicine) will be flattened by well-targeted generalist AIs. Alex Wissner-Gross | AI | 40% | ||
| 0.59 | github_release 2026-05-07 | S_ROBOTAXI_TESLA_2026 Tesla FSD unsupervised wide deployment by Nov 2026 | robotaxi_deployment | 40% | ||
| 0.59 | github_release 2023-07-29 | IND_005 Convergence of computational biology + AI-driven data modeling + CRISPR gene editing enables bringing back extinct species — Form Bio platform (spun out 2022) enables successful resurrection of woolly mammoth and Tasmanian tiger within the decade (by ~... Ben Lamm | Biotech/Longevity | 33% | ||
| 0.59 | github_release 2020-05-28 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.59 | github_release 2026-05-11 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.59 | github_release 2025-12-08 | 234_048 Next major revolutions in foundation models will come from small language models Alex Wissner-Gross | AI | 41% | ||
| 0.59 | github_release 2025-12-08 | 239_004 xAI/Grok will catch up and exceed competitors on coding by mid-2026 Elon Musk | AI | 40% | ||
| 0.59 | github_release 2025-10-15 | CMQ_030 In the modern AI pipeline, the CPU no longer merely supports the model — it drives the model (agentic workloads invert historical CPU:GPU ratio). Jensen Huang | AI/Compute | 34% | ||
| 0.59 | github_release 2025-04-23 | INF_009 The first multi-behavior brain-organoid upload is imminent — wetware ('brain organoid') computing has progressed from Pong (2021) to Doom-class simulators (2025), and offers a pathway out of silicon thermal limits at ~20W per brain-equivalent compute. Alex Wissner-Gross | AI | 17% | ||
| 0.59 | github_release 2026-04-21 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.59 | github_release 2023-08-07 | COD_SPC_005 NASA Dragonfly launches on Falcon Heavy in the July 2028 window Codex Research Pack | Space | 33% | ||
| 0.59 | github_release 2026-05-13 | CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei | AI/Compute | 19% | ||
| 0.59 | github_release 2021-07-15 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.59 | github_release 2020-09-23 | 248_022 Deepseek-style hyperdeflation moments from algorithmic innovation will become more frequent but less effective at causing price swings. Alex Wissner-Gross | Markets/Stocks | 42% | ||
| 0.59 | github_release 2020-08-18 | CMQ_047 Autonomous code agents and AutoResearch systems will close the loop on complex scientific experimentation without human-in-the-loop. Andrej Karpathy | AI | 51% | ||
| 0.59 | github_release 2024-01-03 | 237_024 Skippy will listen to this YouTube video and self-improve based on the transcript (Peter's expectation). Peter Diamandis | AI | 40% | ||
| 0.59 | github_release 2024-03-15 | CMQ_058 Localized hardware setups (multiple Apple Mac Studios, dedicated 'AI Max 300' silicon) will allow developers to run powerful inference workloads directly on-premises — reducing cloud dependency. Alex Finn | AI/Compute | 59% | ||
| 0.59 | github_release 2020-03-05 | INF_009 The first multi-behavior brain-organoid upload is imminent — wetware ('brain organoid') computing has progressed from Pong (2021) to Doom-class simulators (2025), and offers a pathway out of silicon thermal limits at ~20W per brain-equivalent compute. Alex Wissner-Gross | AI | 17% | ||
| 0.59 | github_release 2018-12-19 | 237_019 Code generation models are pushing development in the direction of TypeScript instead of Rust for memory safety. Alex Wissner-Gross | AI | 35% | ||
| 0.59 | github_release 2025-09-24 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.59 | github_release 2025-09-16 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2024-06-27 | INF_035 Advanced U.S. manufacturing capacity for 3D-printed liquid-cooling plates will scale rapidly — Fabric8Labs secured $50M (NEA + Intel Capital) specifically to address the AI-DC thermal bottleneck with electrochemically-deposited intricate cold-plate geo... Fabric8Labs (NEA / Intel Capital funded) | Semis | 65% | ||
| 0.59 | github_release 2026-06-11 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2025-11-24 | TK08 Humanoid Capital Collapse (Figure/Apptronik Flop) | — | 22% | ||
| 0.59 | github_release 2025-09-04 | 229_044 Positive transfer learning will continue to emerge, meaning more diverse data makes Figure robots broadly better at many tasks. Brett Adcock | AI | 35% | ||
| 0.59 | github_release 2023-09-26 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.59 | github_release 2026-01-21 | AI_010 The 2026 development landscape has entered the 'Slopacolypse' — AI writes the vast majority of new code, developer manual-coding skills atrophy, and engineering transitions from syntax-writing to high-level architectural prompting and 'vibe coding'. Andrej Karpathy | AI | 90% | ||
| 0.59 | github_release 2020-11-03 | 237_018 We are seeing a Cambrian explosion of OpenClaw variants (PicoClaw, IronClaw, NanoClaw, Nanobot, etc.) with many more to come. Alex Wissner-Gross | AI | 40% | ||
| 0.59 | github_release 2020-05-25 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.59 | github_release 2025-01-27 | 242_051 Dyson swarm compute infrastructure will be realized in a few years Alex Wissner-Gross | Space | 24% | ||
| 0.59 | github_release 2020-05-28 | 231_015 Next Deep Seek model release will be when Chinese open-weight models catch up to American frontier models. Alex Wissner-Gross | AI | 34% | ||
| 0.59 | github_release 2025-04-25 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2023-04-10 | 230_029 Cognition is becoming a commodity — intelligence will flow like oil. Alex Wissner-Gross | AI | 43% | ||
| 0.59 | github_release 2023-01-19 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.59 | github_release 2025-08-14 | S_ROBOTAXI_TESLA_2026 Tesla FSD unsupervised wide deployment by Nov 2026 | robotaxi_deployment | 40% | ||
| 0.59 | github_release 2025-02-10 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.59 | github_release 2026-04-16 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.59 | github_release 2026-04-16 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.59 | github_release 2025-08-21 | INF_035 Advanced U.S. manufacturing capacity for 3D-printed liquid-cooling plates will scale rapidly — Fabric8Labs secured $50M (NEA + Intel Capital) specifically to address the AI-DC thermal bottleneck with electrochemically-deposited intricate cold-plate geo... Fabric8Labs (NEA / Intel Capital funded) | Semis | 65% | ||
| 0.59 | github_release 2024-12-05 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.59 | github_release 2021-05-13 | 242_051 Dyson swarm compute infrastructure will be realized in a few years Alex Wissner-Gross | Space | 24% | ||
| 0.59 | github_release 2026-04-26 | SEM_047 At 200,000-GPU scale, orchestration becomes a literal 'battle against entropy' — single cosmic-ray-flipped transistor can derail 100k-GPU training run. Jimmy Ba | AI/Hardware | 71% | ||
| 0.59 | github_release 2023-12-15 | AI_024 As AI-generated video becomes indistinguishable from reality, a massive economic resurgence in the 'Face-to-Face' (F2F) economy will emerge — live-event production, in-person experiences, and physical gatherings rebound as synthetic-reality counterweig... Mark Cuban | Consumer | 45% | ||
| 0.59 | github_release 2020-04-28 | 239_003 We are currently in AI hard takeoff Elon Musk | AI | 47% | ||
| 0.59 | github_release 2025-11-21 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.59 | github_release 2025-10-13 | 238_022 From here forward, training data will be synthetic (pre-training era of human internet data is over) Alex Wissner-Gross | AI | 39% | ||
| 0.59 | github_release 2025-09-23 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.59 | github_release 2020-11-21 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.59 | github_release 2019-08-14 | CMQ_027 The inference inflection has arrived — industry transitioning from training-dominated capex (2023-2025) to inference-dominated economics (2026+). Jensen Huang | AI/Compute | 92% | ||
| 0.59 | github_release 2018-06-06 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.59 | github_release 2023-05-10 | INF_062 Lyten will commercialize 3D-Graphene-based next-generation batteries (lithium-sulfur variants, among others) that are significantly lighter, denser, and less dependent on geopolitically sensitive critical minerals than conventional lithium-ion. Lyten | Energy | 45% | ||
| 0.59 | github_release 2021-12-16 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.59 | github_release 2021-08-05 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.59 | github_release 2021-08-05 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.59 | github_release 2026-06-11 | 232_014 Recursive self-improvement is already here, not 12 months away. Alex Wissner-Gross | AI | 70% | ||
| 0.59 | github_release 2026-06-11 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.59 | github_release 2026-05-26 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2026-04-15 | 241_037 Chinese AI strategy will stay open source / open weights Eric Schmidt | AI | 49% | ||
| 0.59 | github_release 2026-01-16 | 241_037 Chinese AI strategy will stay open source / open weights Eric Schmidt | AI | 49% | ||
| 0.59 | github_release 2025-09-17 | 236_028 AI chatbot/AI romance trend growing unfortunately Andrew Yang | Consumer | 51% | ||
| 0.59 | github_release 2025-04-05 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.59 | github_release 2025-06-28 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.59 | github_release 2023-08-17 | 242_044 Base AI models becoming commodity; value migrates up the stack Alex Wissner-Gross | AI | 35% | ||
| 0.59 | github_release 2023-08-17 | CMQ_027 The inference inflection has arrived — industry transitioning from training-dominated capex (2023-2025) to inference-dominated economics (2026+). Jensen Huang | AI/Compute | 92% | ||
| 0.59 | github_release 2021-04-28 | CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei | AI/Compute | 19% | ||
| 0.59 | github_release 2024-10-30 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.59 | github_release 2022-11-30 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.59 | github_release 2023-02-01 | 248_048 AI models will move to a post-binary (sub-one-bit) numerical precision paradigm. Alex Wissner-Gross | AI | 34% | ||
| 0.59 | github_release 2023-01-19 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.59 | github_release 2024-12-31 | 242_055 Activist investing will be disrupted by AI writing open letters to public firms Alex Wissner-Gross | Markets/Stocks | 34% | ||
| 0.59 | github_release 2024-03-29 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.59 | github_release 2025-09-01 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2025-04-11 | 238_005 By September 2026 there will be 1000+ ultra-high-inspirational-quality videos of the future generated nearly free Alex Wissner-Gross | AI | 39% | ||
| 0.59 | github_release 2026-04-21 | AI_010 The 2026 development landscape has entered the 'Slopacolypse' — AI writes the vast majority of new code, developer manual-coding skills atrophy, and engineering transitions from syntax-writing to high-level architectural prompting and 'vibe coding'. Andrej Karpathy | AI | 90% | ||
| 0.59 | github_release 2025-09-17 | 237_018 We are seeing a Cambrian explosion of OpenClaw variants (PicoClaw, IronClaw, NanoClaw, Nanobot, etc.) with many more to come. Alex Wissner-Gross | AI | 40% | ||
| 0.59 | github_release 2025-09-17 | COD_BIO_005 Colossal adds at least one more de-extinction species to active embryo-transfer pipeline by end 2028 Codex Research Pack | Biotech/Longevity | 47% | ||
| 0.59 | github_release 2022-04-12 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.59 | github_release 2021-01-07 | 242_051 Dyson swarm compute infrastructure will be realized in a few years Alex Wissner-Gross | Space | 24% | ||
| 0.59 | github_release 2021-11-02 | 234_048 Next major revolutions in foundation models will come from small language models Alex Wissner-Gross | AI | 41% | ||
| 0.59 | github_release 2025-11-14 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.59 | github_release 2018-03-01 | AI_025 Most current generative AI wrappers are transient — they will fade into the background as infrastructure layers, analogous to Radio Shack fading in the Windows/PC era; winners will be infrastructure and verticalized depth plays, not thin API-wrapper apps. Mark Cuban | AI | 60% | ||
| 0.59 | github_release 2019-06-20 | CMQ_038 Micron has initiated HVM production of HBM4 36GB module delivering 2.8 TB/s bandwidth — optimized to reduce 'time to first token' for long-context LLM inference. Micron | Semis/Memory | 52% | ||
| 0.59 | github_release 2019-06-20 | CMQ_058 Localized hardware setups (multiple Apple Mac Studios, dedicated 'AI Max 300' silicon) will allow developers to run powerful inference workloads directly on-premises — reducing cloud dependency. Alex Finn | AI/Compute | 59% | ||
| 0.59 | github_release 2026-06-18 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.59 | github_release 2026-04-06 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.59 | github_release 2026-06-29 | 234_050 Open-source maintainers will be overwhelmed by AI-discovered software vulnerabilities Alex Wissner-Gross | AI | 42% | ||
| 0.59 | github_release 2022-03-08 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.59 | github_release 2023-10-03 | 241_037 Chinese AI strategy will stay open source / open weights Eric Schmidt | AI | 49% | ||
| 0.59 | github_release 2023-10-03 | FUT_024 XPT 2022 tournament assigned mere 2.3% probability to AI achieving gold-medal performance in International Mathematical Olympiad by 2025 — actual achievement empirically reached forcing systemic re-evaluation within forecasting community. Historical tr... Superforecaster Community | AI | 100% | ||
| 0.58 | github_release 2025-08-27 | 241_011 By end of 2026, no one will write code manually - it'll be a quaint skill Peter Diamandis | Labor/Jobs | 47% | ||
| 0.58 | github_release 2025-08-13 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.58 | github_release 2025-08-13 | COD_BIO_005 Colossal adds at least one more de-extinction species to active embryo-transfer pipeline by end 2028 Codex Research Pack | Biotech/Longevity | 47% | ||
| 0.58 | github_release 2025-03-11 | 231_017 A major supply chain attack from untrusted open-weight code generation models is absolutely a threat vector. Alex Wissner-Gross | AI | 42% | ||
| 0.58 | github_release 2021-12-15 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.58 | github_release 2021-04-28 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.58 | github_release 2020-11-03 | 235_008 Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months. Alex Wissner-Gross | AI | 42% | ||
| 0.58 | github_release 2024-10-30 | ROB_013 Research foundations enabling seamless human-robot interaction in complex 3D physical spaces — algorithms translating human natural-language intent directly into complex robotic actuation eliminate hard-coded robotics engineering, allowing systems to g... Jimmy Ba | Robotics | 62% | ||
| 0.58 | github_release 2026-03-03 | CMQ_058 Localized hardware setups (multiple Apple Mac Studios, dedicated 'AI Max 300' silicon) will allow developers to run powerful inference workloads directly on-premises — reducing cloud dependency. Alex Finn | AI/Compute | 59% | ||
| 0.58 | github_release 2019-05-30 | INF_001 Reaching AGI by 2027 will require deployment of hundreds of millions of AI GPUs — forcing total mobilization of US industrial capacity for semiconductor fab and data-center shell construction. Leopold Aschenbrenner | AI | 48% | ||
| 0.58 | github_release 2026-04-26 | 241_037 Chinese AI strategy will stay open source / open weights Eric Schmidt | AI | 49% | ||
| 0.58 | github_release 2024-03-29 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.58 | github_release 2026-04-16 | INF_026 'Software 3.0' LLM infrastructure will operate like public utilities — requiring massive upfront capex (training compute, specialized hardware), specialized networking protocols for synchrony across hundreds of thousands of GPUs, and flawless uninterru... Andrej Karpathy | AI | 64% | ||
| 0.58 | github_release 2025-09-01 | 232_014 Recursive self-improvement is already here, not 12 months away. Alex Wissner-Gross | AI | 70% | ||
| 0.58 | github_release 2025-09-01 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.58 | github_release 2025-08-21 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.58 | github_release 2025-07-01 | AI_025 Most current generative AI wrappers are transient — they will fade into the background as infrastructure layers, analogous to Radio Shack fading in the Windows/PC era; winners will be infrastructure and verticalized depth plays, not thin API-wrapper apps. Mark Cuban | AI | 60% | ||
| 0.58 | github_release 2025-04-11 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.58 | github_release 2025-05-14 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.58 | github_release 2025-05-09 | AI_010 The 2026 development landscape has entered the 'Slopacolypse' — AI writes the vast majority of new code, developer manual-coding skills atrophy, and engineering transitions from syntax-writing to high-level architectural prompting and 'vibe coding'. Andrej Karpathy | AI | 90% | ||
| 0.58 | github_release 2023-06-16 | CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei | AI/Compute | 19% | ||
| 0.58 | github_release 2021-07-15 | 242_051 Dyson swarm compute infrastructure will be realized in a few years Alex Wissner-Gross | Space | 24% | ||
| 0.58 | github_release 2024-03-15 | ROB_013 Research foundations enabling seamless human-robot interaction in complex 3D physical spaces — algorithms translating human natural-language intent directly into complex robotic actuation eliminate hard-coded robotics engineering, allowing systems to g... Jimmy Ba | Robotics | 62% | ||
| 0.58 | github_release 2023-07-29 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.58 | github_release 2023-03-31 | CMQ_058 Localized hardware setups (multiple Apple Mac Studios, dedicated 'AI Max 300' silicon) will allow developers to run powerful inference workloads directly on-premises — reducing cloud dependency. Alex Finn | AI/Compute | 59% | ||
| 0.58 | github_release 2022-03-25 | 237_001 Increased hacker profile and AI-driven social engineering attacks will become more and more prevalent. Peter Diamandis | AI | 55% | ||
| 0.58 | github_release 2021-07-23 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.58 | github_release 2020-08-04 | CMQ_044 Future data-center architectures optimized for agentic workflows may require 1:2 or even 2:1 CPU-to-GPU ratio (vs historical 1:12) to prevent GPU idle-waiting. Morgan Stanley | AI/Compute | 65% | ||
| 0.58 | github_release 2019-07-04 | 237_002 We will see a lot of evolution and many OpenClaw variants emerging very quickly as an early domain being developed. Peter Diamandis | AI | 55% | ||
| 0.58 | github_release 2026-04-21 | 234_017 OpenAI codex lead predicts current coding agents will seem primitive in 10 weeks OpenAI Codex Lead | AI | 33% | ||
| 0.58 | github_release 2019-08-14 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.58 | github_release 2018-09-26 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.58 | github_release 2026-06-15 | INF_072 There is approximately a 50/50 chance that simply scaling existing methodologies (transformer architecture + more data + more compute) will be enough to reach AGI — though "nowhere near" human-level AGI currently. Demis Hassabis | AI | 40% | ||
| 0.58 | github_release 2023-05-10 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2021-12-16 | 248_048 AI models will move to a post-binary (sub-one-bit) numerical precision paradigm. Alex Wissner-Gross | AI | 34% | ||
| 0.58 | github_release 2026-05-26 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.58 | github_release 2026-04-06 | 247_050 Virtual cell achievable through classical scaling without quantum computing Alex Wissner-Gross | Biotech/Longevity | 44% | ||
| 0.58 | github_release 2022-03-08 | 248_032 First-generation neural uploads will be destructive; 2nd-4th generation will be non-destructive. Alex Wissner-Gross | Biotech/Longevity | 42% | ||
| 0.58 | github_release 2020-01-23 | 231_015 Next Deep Seek model release will be when Chinese open-weight models catch up to American frontier models. Alex Wissner-Gross | AI | 34% | ||
| 0.58 | github_release 2020-01-23 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.58 | github_release 2025-11-24 | CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei | AI/Compute | 19% | ||
| 0.58 | github_release 2025-09-12 | 229_001 Figure will put robots on its own manufacturing lines (BotQ) this year to build robots. Brett Adcock | Robotics | 39% | ||
| 0.58 | github_release 2025-04-05 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.58 | github_release 2025-02-25 | IND_005 Convergence of computational biology + AI-driven data modeling + CRISPR gene editing enables bringing back extinct species — Form Bio platform (spun out 2022) enables successful resurrection of woolly mammoth and Tasmanian tiger within the decade (by ~... Ben Lamm | Biotech/Longevity | 33% | ||
| 0.58 | github_release 2025-02-25 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.58 | github_release 2025-06-28 | 241_011 By end of 2026, no one will write code manually - it'll be a quaint skill Peter Diamandis | Labor/Jobs | 47% | ||
| 0.58 | github_release 2025-03-11 | COD_BIO_001 FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026 Codex Research Pack | Biotech/Longevity | 47% | ||
| 0.58 | github_release 2024-06-28 | 234_050 Open-source maintainers will be overwhelmed by AI-discovered software vulnerabilities Alex Wissner-Gross | AI | 42% | ||
| 0.58 | github_release 2023-08-31 | 229_042 Figure believes there will be a single omni-model fusing language, vision, action, memory — not multiple specialized neural nets per task. Brett Adcock | AI | 40% | ||
| 0.58 | github_release 2023-08-31 | CMQ_027 The inference inflection has arrived — industry transitioning from training-dominated capex (2023-2025) to inference-dominated economics (2026+). Jensen Huang | AI/Compute | 92% | ||
| 0.58 | github_release 2024-10-29 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.58 | github_release 2023-12-15 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.58 | github_release 2022-08-05 | TK01 AGI Capability Plateau (2026-27 Training Stall) | — | 15% | ||
| 0.58 | github_release 2026-03-23 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.58 | github_release 2026-01-18 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2024-10-30 | CYB_003 Localized, ungoverned multi-agent networks will spontaneously generate their own social networks, governance manifestos, debated ethics, and closed-loop digital economies — exemplified by the Moltbook platform in early 2026 where 150,000+ autonomous AI... Alex Finn | AI | 55% | ||
| 0.58 | github_release 2026-03-03 | S_HUMANOID_ENTERPRISE_2028 Humanoid R2: 100K+ enterprise by Nov 2028 | humanoid_deployment | 50% | ||
| 0.58 | github_release 2018-03-01 | INF_001 Reaching AGI by 2027 will require deployment of hundreds of millions of AI GPUs — forcing total mobilization of US industrial capacity for semiconductor fab and data-center shell construction. Leopold Aschenbrenner | AI | 48% | ||
| 0.58 | github_release 2023-02-08 | 242_044 Base AI models becoming commodity; value migrates up the stack Alex Wissner-Gross | AI | 35% | ||
| 0.58 | github_release 2025-10-28 | 238_009 Recursive self-improvement is already happening now (no longer three years out) Alex Wissner-Gross | AI | 78% | ||
| 0.58 | github_release 2025-06-10 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.58 | github_release 2026-04-10 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.58 | github_release 2025-11-11 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.58 | github_release 2025-05-14 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2024-12-05 | AUT_021 Defining software movement of 2026: startups building autonomous platforms specifically designed to clean/structure/continuously validate multimodal data — unstructured corporate sludge (PDFs, logs, videos, emails) causes autonomous agentic workflows t... Marc Andreessen | AI | 52% | ||
| 0.58 | github_release 2023-06-16 | 234_004 Mistral will emerge as a vertically integrated European OpenAI Alex Wissner-Gross | AI | 35% | ||
| 0.58 | github_release 2021-08-19 | 248_037 State data-center moratoriums will accelerate Dyson-swarm / orbital compute innovation due to constriction. Alex Wissner-Gross | AI | 14% | ||
| 0.58 | github_release 2021-07-15 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.58 | github_release 2023-03-31 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.58 | github_release 2021-11-02 | CMQ_058 Localized hardware setups (multiple Apple Mac Studios, dedicated 'AI Max 300' silicon) will allow developers to run powerful inference workloads directly on-premises — reducing cloud dependency. Alex Finn | AI/Compute | 59% | ||
| 0.58 | github_release 2021-11-15 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2019-09-10 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.58 | github_release 2019-07-04 | 241_037 Chinese AI strategy will stay open source / open weights Eric Schmidt | AI | 49% | ||
| 0.58 | github_release 2018-09-26 | CMQ_058 Localized hardware setups (multiple Apple Mac Studios, dedicated 'AI Max 300' silicon) will allow developers to run powerful inference workloads directly on-premises — reducing cloud dependency. Alex Finn | AI/Compute | 59% | ||
| 0.58 | github_release 2024-06-27 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2026-04-09 | CYB_003 Localized, ungoverned multi-agent networks will spontaneously generate their own social networks, governance manifestos, debated ethics, and closed-loop digital economies — exemplified by the Moltbook platform in early 2026 where 150,000+ autonomous AI... Alex Finn | AI | 55% | ||
| 0.58 | github_release 2026-04-20 | 229_042 Figure believes there will be a single omni-model fusing language, vision, action, memory — not multiple specialized neural nets per task. Brett Adcock | AI | 40% | ||
| 0.58 | github_release 2026-04-06 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.58 | github_release 2025-04-03 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2022-12-06 | 232_014 Recursive self-improvement is already here, not 12 months away. Alex Wissner-Gross | AI | 70% | ||
| 0.58 | github_release 2025-09-17 | TK04 Macro Recession 2026-27 (Structural Deleveraging) | — | 25% | ||
| 0.58 | github_release 2025-10-01 | 241_011 By end of 2026, no one will write code manually - it'll be a quaint skill Peter Diamandis | Labor/Jobs | 47% | ||
| 0.58 | github_release 2025-08-15 | INF_026 'Software 3.0' LLM infrastructure will operate like public utilities — requiring massive upfront capex (training compute, specialized hardware), specialized networking protocols for synchrony across hundreds of thousands of GPUs, and flawless uninterru... Andrej Karpathy | AI | 64% | ||
| 0.58 | github_release 2023-11-14 | COD_BIO_001 FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026 Codex Research Pack | Biotech/Longevity | 47% | ||
| 0.58 | github_release 2024-10-29 | CMQ_058 Localized hardware setups (multiple Apple Mac Studios, dedicated 'AI Max 300' silicon) will allow developers to run powerful inference workloads directly on-premises — reducing cloud dependency. Alex Finn | AI/Compute | 59% | ||
| 0.58 | github_release 2022-01-27 | CMQ_044 Future data-center architectures optimized for agentic workflows may require 1:2 or even 2:1 CPU-to-GPU ratio (vs historical 1:12) to prevent GPU idle-waiting. Morgan Stanley | AI/Compute | 65% | ||
| 0.58 | github_release 2021-12-15 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2021-12-15 | CMQ_030 In the modern AI pipeline, the CPU no longer merely supports the model — it drives the model (agentic workloads invert historical CPU:GPU ratio). Jensen Huang | AI/Compute | 34% | ||
| 0.58 | github_release 2026-01-18 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.58 | github_release 2020-05-28 | TK01 AGI Capability Plateau (2026-27 Training Stall) | — | 15% | ||
| 0.58 | github_release 2022-11-30 | CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei | AI/Compute | 19% | ||
| 0.58 | github_release 2023-02-08 | 230_045 GDP will be replaced by an 'Abundance Capability Index' measuring capacity to solve problems. Alex Wissner-Gross | Macro/Economy | 26% | ||
| 0.58 | github_release 2024-03-29 | CMQ_044 Future data-center architectures optimized for agentic workflows may require 1:2 or even 2:1 CPU-to-GPU ratio (vs historical 1:12) to prevent GPU idle-waiting. Morgan Stanley | AI/Compute | 65% | ||
| 0.58 | github_release 2025-12-08 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.58 | github_release 2025-06-10 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.58 | github_release 2026-04-10 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.58 | github_release 2025-08-12 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.58 | github_release 2025-05-23 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2025-05-23 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.58 | github_release 2022-12-21 | 231_002 Grok 5 launches in March with massive expansion in training set, parameters, and capability. Dave Blundin | AI | 30% | ||
| 0.58 | github_release 2020-08-18 | 248_037 State data-center moratoriums will accelerate Dyson-swarm / orbital compute innovation due to constriction. Alex Wissner-Gross | AI | 14% | ||
| 0.58 | github_release 2024-01-03 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.58 | github_release 2025-03-25 | 241_011 By end of 2026, no one will write code manually - it'll be a quaint skill Peter Diamandis | Labor/Jobs | 47% | ||
| 0.58 | github_release 2021-11-15 | CMQ_044 Future data-center architectures optimized for agentic workflows may require 1:2 or even 2:1 CPU-to-GPU ratio (vs historical 1:12) to prevent GPU idle-waiting. Morgan Stanley | AI/Compute | 65% | ||
| 0.58 | github_release 2021-07-23 | 229_042 Figure believes there will be a single omni-model fusing language, vision, action, memory — not multiple specialized neural nets per task. Brett Adcock | AI | 40% | ||
| 0.58 | github_release 2019-09-10 | CMQ_042 As AI evolves from Generative to Agentic, structural computing bottlenecks shift away from GPU and heavily toward CPU and system memory. Morgan Stanley | AI/Compute | 35% | ||
| 0.58 | github_release 2025-11-21 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.58 | github_release 2025-11-14 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.58 | github_release 2020-03-08 | 248_032 First-generation neural uploads will be destructive; 2nd-4th generation will be non-destructive. Alex Wissner-Gross | Biotech/Longevity | 42% | ||
| 0.58 | github_release 2025-10-10 | 231_002 Grok 5 launches in March with massive expansion in training set, parameters, and capability. Dave Blundin | AI | 30% | ||
| 0.58 | github_release 2025-02-25 | 237_002 We will see a lot of evolution and many OpenClaw variants emerging very quickly as an early domain being developed. Peter Diamandis | AI | 55% | ||
| 0.58 | github_release 2025-09-17 | 241_011 By end of 2026, no one will write code manually - it'll be a quaint skill Peter Diamandis | Labor/Jobs | 47% | ||
| 0.58 | github_release 2025-08-13 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.58 | github_release 2025-06-28 | 237_019 Code generation models are pushing development in the direction of TypeScript instead of Rust for memory safety. Alex Wissner-Gross | AI | 35% | ||
| 0.58 | github_release 2023-11-14 | 231_017 A major supply chain attack from untrusted open-weight code generation models is absolutely a threat vector. Alex Wissner-Gross | AI | 42% | ||
| 0.58 | github_release 2024-10-29 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.58 | github_release 2023-07-29 | 248_032 First-generation neural uploads will be destructive; 2nd-4th generation will be non-destructive. Alex Wissner-Gross | Biotech/Longevity | 42% | ||
| 0.58 | github_release 2023-07-29 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.58 | github_release 2026-03-03 | 238_010 AI takeoff/inflection is happening now Emad Mostaque | AI | 66% | ||
| 0.58 | github_release 2018-03-01 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.58 | github_release 2018-03-01 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.58 | github_release 2026-03-17 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.58 | github_release 2025-07-01 | CYB_015 The human hiring process becomes progressively distorted as autonomous bot agents actively screen resumes generated by other bot agents, completely removing the human connection required to accurately assess contextual experience — bot-on-bot recursive... Emad Mostaque | Labor/Jobs | 86% | ||
| 0.58 | github_release 2025-12-11 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.58 | github_release 2025-11-11 | 241_011 By end of 2026, no one will write code manually - it'll be a quaint skill Peter Diamandis | Labor/Jobs | 47% | ||
| 0.58 | github_release 2024-08-05 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2021-04-28 | 248_037 State data-center moratoriums will accelerate Dyson-swarm / orbital compute innovation due to constriction. Alex Wissner-Gross | AI | 14% | ||
| 0.58 | github_release 2020-08-18 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.58 | github_release 2020-08-18 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2020-09-18 | 231_015 Next Deep Seek model release will be when Chinese open-weight models catch up to American frontier models. Alex Wissner-Gross | AI | 34% | ||
| 0.58 | github_release 2024-10-30 | AI_025 Most current generative AI wrappers are transient — they will fade into the background as infrastructure layers, analogous to Radio Shack fading in the Windows/PC era; winners will be infrastructure and verticalized depth plays, not thin API-wrapper apps. Mark Cuban | AI | 60% | ||
| 0.58 | github_release 2025-03-25 | AI_010 The 2026 development landscape has entered the 'Slopacolypse' — AI writes the vast majority of new code, developer manual-coding skills atrophy, and engineering transitions from syntax-writing to high-level architectural prompting and 'vibe coding'. Andrej Karpathy | AI | 90% | ||
| 0.58 | github_release 2020-03-05 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.58 | github_release 2023-12-15 | 229_042 Figure believes there will be a single omni-model fusing language, vision, action, memory — not multiple specialized neural nets per task. Brett Adcock | AI | 40% | ||
| 0.58 | github_release 2025-11-14 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.58 | github_release 2025-09-24 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | ||
| 0.58 | github_release 2025-09-17 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.58 | github_release 2026-06-15 | CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei | AI/Compute | 19% | ||
| 0.58 | github_release 2021-08-05 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.58 | github_release 2023-07-20 | 248_032 First-generation neural uploads will be destructive; 2nd-4th generation will be non-destructive. Alex Wissner-Gross | Biotech/Longevity | 42% | ||
| 0.58 | github_release 2020-05-07 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.58 | github_release 2025-01-24 | 237_018 We are seeing a Cambrian explosion of OpenClaw variants (PicoClaw, IronClaw, NanoClaw, Nanobot, etc.) with many more to come. Alex Wissner-Gross | AI | 40% | ||
| 0.58 | github_release 2025-01-24 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.58 | github_release 2024-10-24 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.58 | github_release 2024-03-08 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.58 | github_release 2024-03-08 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.58 | github_release 2024-06-05 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.58 | github_release 2022-06-06 | CYB_003 Localized, ungoverned multi-agent networks will spontaneously generate their own social networks, governance manifestos, debated ethics, and closed-loop digital economies — exemplified by the Moltbook platform in early 2026 where 150,000+ autonomous AI... Alex Finn | AI | 55% | ||
| 0.58 | github_release 2025-04-25 | CMQ_058 Localized hardware setups (multiple Apple Mac Studios, dedicated 'AI Max 300' silicon) will allow developers to run powerful inference workloads directly on-premises — reducing cloud dependency. Alex Finn | AI/Compute | 59% | ||
| 0.58 | github_release 2022-11-30 | S_ROBOTAXI_TESLA_2026 Tesla FSD unsupervised wide deployment by Nov 2026 | robotaxi_deployment | 40% | ||
| 0.58 | github_release 2025-02-10 | CMQ_044 Future data-center architectures optimized for agentic workflows may require 1:2 or even 2:1 CPU-to-GPU ratio (vs historical 1:12) to prevent GPU idle-waiting. Morgan Stanley | AI/Compute | 65% | ||
| 0.58 | github_release 2024-12-31 | S_ROBOTAXI_TESLA_2026 Tesla FSD unsupervised wide deployment by Nov 2026 | robotaxi_deployment | 40% | ||
| 0.58 | github_release 2026-05-11 | S_AGI_MID_2029 AGI mid: Kurzweil 2029 path | agi_general_capability | 35% | ||
| 0.58 | github_release 2026-03-23 | 232_014 Recursive self-improvement is already here, not 12 months away. Alex Wissner-Gross | AI | 70% | ||
| 0.58 | github_release 2026-03-23 | 248_022 Deepseek-style hyperdeflation moments from algorithmic innovation will become more frequent but less effective at causing price swings. Alex Wissner-Gross | Markets/Stocks | 42% | ||
| 0.58 | github_release 2025-09-10 | 237_022 Alex Finn plans to build an autonomous closed-loop organization where agents research, validate, code and deploy value on the web in coming years. Alex Finn | AI | 33% | ||
| 0.58 | github_release 2025-09-10 | CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei | AI/Compute | 19% | ||
| 0.58 | github_release 2025-07-01 | 237_018 We are seeing a Cambrian explosion of OpenClaw variants (PicoClaw, IronClaw, NanoClaw, Nanobot, etc.) with many more to come. Alex Wissner-Gross | AI | 40% | ||
| 0.58 | github_release 2025-07-01 | CMQ_030 In the modern AI pipeline, the CPU no longer merely supports the model — it drives the model (agentic workloads invert historical CPU:GPU ratio). Jensen Huang | AI/Compute | 34% | ||
| 0.58 | github_release 2025-04-11 | 248_022 Deepseek-style hyperdeflation moments from algorithmic innovation will become more frequent but less effective at causing price swings. Alex Wissner-Gross | Markets/Stocks | 42% | ||
| 0.58 | github_release 2025-11-19 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.58 | github_release 2026-04-10 | 232_014 Recursive self-improvement is already here, not 12 months away. Alex Wissner-Gross | AI | 70% | ||
| 0.58 | github_release 2025-12-11 | 232_014 Recursive self-improvement is already here, not 12 months away. Alex Wissner-Gross | AI | 70% | ||
| 0.58 | github_release 2025-12-11 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.58 | github_release 2025-05-09 | 235_008 Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months. Alex Wissner-Gross | AI | 42% | ||
| 0.58 | github_release 2024-09-26 | 248_050 Opus 4.7 removes manual dials; prompts become the new hyperparameters. Alex Wissner-Gross | AI | 45% | ||
| 0.58 | github_release 2025-12-18 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2025-09-17 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.58 | github_release 2022-05-17 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.58 | github_release 2022-03-25 | CMQ_055 Multimodal voice recognition powered by generative AI will serve as the default user interface for humanoid physical workers — speak instructions, robot executes. Brett Adcock | Robotics | 29% | ||
| 0.58 | github_release 2019-09-10 | 238_025 AI computer-use benchmarks (OSWorld, Tbench) have broken through human level Emad Mostaque | AI | 45% | ||
| 0.58 | github_release 2019-09-10 | CYB_003 Localized, ungoverned multi-agent networks will spontaneously generate their own social networks, governance manifestos, debated ethics, and closed-loop digital economies — exemplified by the Moltbook platform in early 2026 where 150,000+ autonomous AI... Alex Finn | AI | 55% | ||
| 0.58 | github_release 2023-12-15 | INF_009 The first multi-behavior brain-organoid upload is imminent — wetware ('brain organoid') computing has progressed from Pong (2021) to Doom-class simulators (2025), and offers a pathway out of silicon thermal limits at ~20W per brain-equivalent compute. Alex Wissner-Gross | AI | 17% | ||
| 0.58 | github_release 2019-06-20 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.58 | github_release 2024-02-22 | 229_039 Figure will integrate additional sensors (infrared, ultraviolet, etc.) into future humanoids. Brett Adcock | Robotics | 28% | ||
| 0.58 | github_release 2026-04-06 | 242_044 Base AI models becoming commodity; value migrates up the stack Alex Wissner-Gross | AI | 35% | ||
| 0.58 | github_release 2025-04-03 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.58 | github_release 2025-04-05 | 235_010 Plugins/marketplaces will get built into baseline models and won't need to exist independently. Alex Wissner-Gross | AI | 38% | ||
| 0.58 | github_release 2022-12-16 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2021-04-28 | 237_022 Alex Finn plans to build an autonomous closed-loop organization where agents research, validate, code and deploy value on the web in coming years. Alex Finn | AI | 33% | ||
| 0.58 | github_release 2021-04-28 | INF_009 The first multi-behavior brain-organoid upload is imminent — wetware ('brain organoid') computing has progressed from Pong (2021) to Doom-class simulators (2025), and offers a pathway out of silicon thermal limits at ~20W per brain-equivalent compute. Alex Wissner-Gross | AI | 17% | ||
| 0.58 | github_release 2021-04-28 | SEM_047 At 200,000-GPU scale, orchestration becomes a literal 'battle against entropy' — single cosmic-ray-flipped transistor can derail 100k-GPU training run. Jimmy Ba | AI/Hardware | 71% | ||
| 0.58 | github_release 2025-01-27 | AUT_021 Defining software movement of 2026: startups building autonomous platforms specifically designed to clean/structure/continuously validate multimodal data — unstructured corporate sludge (PDFs, logs, videos, emails) causes autonomous agentic workflows t... Marc Andreessen | AI | 52% | ||
| 0.58 | github_release 2025-01-27 | IND_005 Convergence of computational biology + AI-driven data modeling + CRISPR gene editing enables bringing back extinct species — Form Bio platform (spun out 2022) enables successful resurrection of woolly mammoth and Tasmanian tiger within the decade (by ~... Ben Lamm | Biotech/Longevity | 33% | ||
| 0.58 | github_release 2025-11-12 | S_ROBOTAXI_TESLA_2026 Tesla FSD unsupervised wide deployment by Nov 2026 | robotaxi_deployment | 40% | ||
| 0.58 | github_release 2025-11-12 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.58 | github_release 2022-11-30 | CMQ_063 Quantum compute integration with AI optimization algorithms and material-science discovery could drastically accelerate algorithmic efficiencies for Intelligence Explosion — potentially pulling superintelligence timelines closer. Alex Wissner-Gross | Quantum/AI | 15% | ||
| 0.58 | github_release 2025-11-03 | 230_045 GDP will be replaced by an 'Abundance Capability Index' measuring capacity to solve problems. Alex Wissner-Gross | Macro/Economy | 26% | ||
| 0.58 | github_release 2025-02-10 | 229_047 Figure's 3,000 B200 GPU cluster is coming online for Helix pre-training with much larger GPUs planned. Brett Adcock | AI | 77% | ||
| 0.58 | github_release 2025-09-10 | IND_026 Non-coders and engineers alike must build for 'where the models are going, not where they are today' — 'this is the worst the models will ever be'. Next-generation models will 'eat your scaffolding for breakfast'; manual software configuration, standar... Kevin Weil | Labor/Jobs | 61% | ||
| 0.58 | github_release 2024-12-05 | AI_010 The 2026 development landscape has entered the 'Slopacolypse' — AI writes the vast majority of new code, developer manual-coding skills atrophy, and engineering transitions from syntax-writing to high-level architectural prompting and 'vibe coding'. Andrej Karpathy | AI | 90% | ||
| 0.58 | github_release 2024-12-05 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.58 | github_release 2023-08-07 | AUT_021 Defining software movement of 2026: startups building autonomous platforms specifically designed to clean/structure/continuously validate multimodal data — unstructured corporate sludge (PDFs, logs, videos, emails) causes autonomous agentic workflows t... Marc Andreessen | AI | 52% | ||
| 0.58 | github_release 2025-06-28 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2022-05-17 | 242_051 Dyson swarm compute infrastructure will be realized in a few years Alex Wissner-Gross | Space | 24% | ||
| 0.58 | github_release 2020-09-23 | 238_020 Math field is 'cooked' — AI will solve research-level mathematics (first open hard math problem imminently) Alex Wissner-Gross | AI | 61% | ||
| 0.58 | github_release 2020-08-18 | 248_037 State data-center moratoriums will accelerate Dyson-swarm / orbital compute innovation due to constriction. Alex Wissner-Gross | AI | 14% | ||
| 0.58 | github_release 2026-04-12 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.58 | github_release 2020-05-06 | 236_028 AI chatbot/AI romance trend growing unfortunately Andrew Yang | Consumer | 51% | ||
| 0.58 | github_release 2024-03-15 | CYB_016 Rural landscapes in the Global South move beyond conventional food production toward highly complex, multifunctional systems — agentic AI platforms synthesize localized ecological data to enable precision organic farming, transparent environmental prot... Peter Dannenberg | Other | 42% | ||
| 0.58 | github_release 2022-06-15 | IND_005 Convergence of computational biology + AI-driven data modeling + CRISPR gene editing enables bringing back extinct species — Form Bio platform (spun out 2022) enables successful resurrection of woolly mammoth and Tasmanian tiger within the decade (by ~... Ben Lamm | Biotech/Longevity | 33% | ||
| 0.58 | github_release 2021-07-23 | 242_044 Base AI models becoming commodity; value migrates up the stack Alex Wissner-Gross | AI | 35% | ||
| 0.58 | github_release 2018-12-19 | 237_009 ChatGPT will release a model specifically for OpenClaw within the next 6 months. Alex Finn | AI | 31% | ||
| 0.58 | github_release 2025-11-14 | 242_048 FDA will move to zero clinical trial model given enough Bayesian/computational evidence Alex Wissner-Gross | Biotech/Longevity | 31% | ||
| 0.58 | github_release 2025-11-28 | CMQ_042 As AI evolves from Generative to Agentic, structural computing bottlenecks shift away from GPU and heavily toward CPU and system memory. Morgan Stanley | AI/Compute | 35% | ||
| 0.58 | github_release 2025-01-24 | 235_010 Plugins/marketplaces will get built into baseline models and won't need to exist independently. Alex Wissner-Gross | AI | 38% | ||
| 0.58 | github_release 2025-09-09 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2025-09-09 | CMQ_058 Localized hardware setups (multiple Apple Mac Studios, dedicated 'AI Max 300' silicon) will allow developers to run powerful inference workloads directly on-premises — reducing cloud dependency. Alex Finn | AI/Compute | 59% | ||
| 0.58 | github_release 2022-12-16 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.58 | github_release 2022-01-27 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.58 | github_release 2020-06-12 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.58 | github_release 2025-01-27 | CYB_003 Localized, ungoverned multi-agent networks will spontaneously generate their own social networks, governance manifestos, debated ethics, and closed-loop digital economies — exemplified by the Moltbook platform in early 2026 where 150,000+ autonomous AI... Alex Finn | AI | 55% | ||
| 0.58 | github_release 2025-04-25 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.58 | github_release 2023-02-08 | 248_050 Opus 4.7 removes manual dials; prompts become the new hyperparameters. Alex Wissner-Gross | AI | 45% | ||
| 0.58 | github_release 2024-03-29 | CMQ_058 Localized hardware setups (multiple Apple Mac Studios, dedicated 'AI Max 300' silicon) will allow developers to run powerful inference workloads directly on-premises — reducing cloud dependency. Alex Finn | AI/Compute | 59% | ||
| 0.58 | github_release 2026-04-16 | AI_025 Most current generative AI wrappers are transient — they will fade into the background as infrastructure layers, analogous to Radio Shack fading in the Windows/PC era; winners will be infrastructure and verticalized depth plays, not thin API-wrapper apps. Mark Cuban | AI | 60% | ||
| 0.58 | github_release 2025-07-01 | 238_009 Recursive self-improvement is already happening now (no longer three years out) Alex Wissner-Gross | AI | 78% | ||
| 0.58 | github_release 2025-06-10 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.58 | github_release 2025-11-11 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.58 | github_release 2024-03-21 | 232_010 Voice becomes the new interface in the AI era, replacing typing. Peter Diamandis | AI | 52% | ||
| 0.58 | github_release 2023-08-07 | AI_010 The 2026 development landscape has entered the 'Slopacolypse' — AI writes the vast majority of new code, developer manual-coding skills atrophy, and engineering transitions from syntax-writing to high-level architectural prompting and 'vibe coding'. Andrej Karpathy | AI | 90% | ||
| 0.58 | github_release 2025-12-18 | 235_005 AI capability will grow 100x this year in raw parameter count as lower bound. Dave Blundin | AI | 49% | ||
| 0.58 | github_release 2022-05-17 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.58 | github_release 2022-05-17 | AI_025 Most current generative AI wrappers are transient — they will fade into the background as infrastructure layers, analogous to Radio Shack fading in the Windows/PC era; winners will be infrastructure and verticalized depth plays, not thin API-wrapper apps. Mark Cuban | AI | 60% | ||
| 0.58 | github_release 2021-04-28 | 237_002 We will see a lot of evolution and many OpenClaw variants emerging very quickly as an early domain being developed. Peter Diamandis | AI | 55% | ||
| 0.58 | github_release 2021-02-01 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.58 | github_release 2020-09-03 | 248_037 State data-center moratoriums will accelerate Dyson-swarm / orbital compute innovation due to constriction. Alex Wissner-Gross | AI | 14% | ||
| 0.58 | github_release 2020-08-18 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.58 | github_release 2020-06-29 | 234_048 Next major revolutions in foundation models will come from small language models Alex Wissner-Gross | AI | 41% | ||
| 0.58 | github_release 2023-03-31 | AI_017 NVIDIA will make Agentic AI the primary demand vector via two specialized products: the 'NemoClaw' developer toolkit for building/orchestrating autonomous agents, and the 'Vera CPU rack' hardware platform explicitly designed to host, deploy, and execut... Jensen Huang | Semis | 75% | ||
| 0.58 | github_release 2022-06-15 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2020-02-07 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.58 | github_release 2020-02-07 | 242_044 Base AI models becoming commodity; value migrates up the stack Alex Wissner-Gross | AI | 35% | ||
| 0.58 | github_release 2020-02-07 | CMQ_058 Localized hardware setups (multiple Apple Mac Studios, dedicated 'AI Max 300' silicon) will allow developers to run powerful inference workloads directly on-premises — reducing cloud dependency. Alex Finn | AI/Compute | 59% | ||
| 0.58 | github_release 2026-06-15 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.58 | github_release 2023-04-27 | CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei | AI/Compute | 19% | ||
| 0.58 | github_release 2026-04-20 | AI_010 The 2026 development landscape has entered the 'Slopacolypse' — AI writes the vast majority of new code, developer manual-coding skills atrophy, and engineering transitions from syntax-writing to high-level architectural prompting and 'vibe coding'. Andrej Karpathy | AI | 90% | ||
| 0.58 | github_release 2026-04-22 | 241_037 Chinese AI strategy will stay open source / open weights Eric Schmidt | AI | 49% | ||
| 0.58 | github_release 2025-10-14 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.58 | github_release 2025-08-13 | AUT_012 True AGI arrives 2030-2035 (5-10 years from 2026) based on advanced 'world model systems' — current LLM architecture insufficient for generalized autonomy due to lack of temporal consistency and deep reasoning; world models inherently understand/simula... Demis Hassabis | AI | 38% | ||
| 0.58 | github_release 2025-09-09 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.58 | github_release 2025-09-09 | INF_026 'Software 3.0' LLM infrastructure will operate like public utilities — requiring massive upfront capex (training compute, specialized hardware), specialized networking protocols for synchrony across hundreds of thousands of GPUs, and flawless uninterru... Andrej Karpathy | AI | 64% | ||
| 0.58 | github_release 2024-06-28 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.58 | github_release 2025-11-12 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.58 | github_release 2022-01-27 | SEM_012 Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering. Jensen Huang | AI/Manufacturing | 75% | ||
| 0.58 | github_release 2021-04-28 | FUT_004 Rapid ascension and enterprise dominance of Large Action Models (LAMs) by 2026-2031 — LLM as primary digital interface becomes obsolete; LAMs observe complex behavioral patterns, internalize multi-step business processes, predict physical-robot mainten... Amy Webb | AI | 62% | ||
| 0.58 | github_release 2026-03-23 | 239_004 xAI/Grok will catch up and exceed competitors on coding by mid-2026 Elon Musk | AI | 40% | ||
| 0.58 | github_release 2026-03-23 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.58 | github_release 2019-05-30 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.58 | github_release 2025-12-14 | CMQ_027 The inference inflection has arrived — industry transitioning from training-dominated capex (2023-2025) to inference-dominated economics (2026+). Jensen Huang | AI/Compute | 92% | ||
| 0.58 | github_release 2023-03-08 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.58 | github_release 2026-03-23 | 230_029 Cognition is becoming a commodity — intelligence will flow like oil. Alex Wissner-Gross | AI | 43% | ||
| 0.58 | github_release 2025-11-19 | CYB_003 Localized, ungoverned multi-agent networks will spontaneously generate their own social networks, governance manifestos, debated ethics, and closed-loop digital economies — exemplified by the Moltbook platform in early 2026 where 150,000+ autonomous AI... Alex Finn | AI | 55% | ||
| 0.58 | github_release 2025-11-11 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.58 | github_release 2025-08-12 | COD_BIO_005 Colossal adds at least one more de-extinction species to active embryo-transfer pipeline by end 2028 Codex Research Pack | Biotech/Longevity | 47% | ||
| 0.58 | github_release 2022-05-17 | 241_049 Underage kids / AI vulnerability problem must be solved - line we can't cross Eric Schmidt | AI | 51% | ||
| 0.58 | github_release 2021-02-01 | 248_037 State data-center moratoriums will accelerate Dyson-swarm / orbital compute innovation due to constriction. Alex Wissner-Gross | AI | 14% | ||
| 0.58 | github_release 2020-09-20 | 248_037 State data-center moratoriums will accelerate Dyson-swarm / orbital compute innovation due to constriction. Alex Wissner-Gross | AI | 14% | ||
| 0.58 | github_release 2020-08-18 | 237_018 We are seeing a Cambrian explosion of OpenClaw variants (PicoClaw, IronClaw, NanoClaw, Nanobot, etc.) with many more to come. Alex Wissner-Gross | AI | 40% | ||
| 0.58 | github_release 2020-06-29 | CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei | AI/Compute | 19% | ||
| 0.58 | github_release 2026-02-12 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.58 | github_release 2021-07-23 | CYB_003 Localized, ungoverned multi-agent networks will spontaneously generate their own social networks, governance manifestos, debated ethics, and closed-loop digital economies — exemplified by the Moltbook platform in early 2026 where 150,000+ autonomous AI... Alex Finn | AI | 55% | ||
| 0.58 | github_release 2025-09-17 | COD_BIO_001 FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026 Codex Research Pack | Biotech/Longevity | 47% | ||
| 0.58 | github_release 2026-05-26 | 238_009 Recursive self-improvement is already happening now (no longer three years out) Alex Wissner-Gross | AI | 78% | ||
| 0.58 | github_release 2024-08-29 | 231_015 Next Deep Seek model release will be when Chinese open-weight models catch up to American frontier models. Alex Wissner-Gross | AI | 34% | ||
| 0.58 | github_release 2026-06-22 | 234_048 Next major revolutions in foundation models will come from small language models Alex Wissner-Gross | AI | 41% | ||
| 0.58 | github_release 2026-06-22 | 239_004 xAI/Grok will catch up and exceed competitors on coding by mid-2026 Elon Musk | AI | 40% | ||
| 0.58 | github_release 2023-06-15 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.58 | github_release 2025-09-12 | 229_042 Figure believes there will be a single omni-model fusing language, vision, action, memory — not multiple specialized neural nets per task. Brett Adcock | AI | 40% | ||
| 0.58 | github_release 2025-09-12 | 237_009 ChatGPT will release a model specifically for OpenClaw within the next 6 months. Alex Finn | AI | 31% | ||
| 0.58 | github_release 2025-10-01 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.58 | github_release 2025-09-17 | 242_044 Base AI models becoming commodity; value migrates up the stack Alex Wissner-Gross | AI | 35% |