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| Sim | Doc | Source | Pred | Domain | Prior | |
|---|---|---|---|---|---|---|
| 0.62 | github_release 2026-02-09 | 235_008 Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months. Alex Wissner-Gross | AI | 42% | ||
| 0.62 | github_release 2022-09-21 | 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% | ||
| 0.62 | github_release 2022-01-28 | 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% | ||
| 0.62 | github_release 2021-11-02 | 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% | ||
| 0.62 | github_release 2026-04-28 | 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% | ||
| 0.62 | github_release 2025-09-04 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.62 | github_release 2026-02-09 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.62 | github_release 2025-03-12 | 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% | ||
| 0.62 | github_release 2023-07-05 | 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% | ||
| 0.62 | github_release 2025-01-29 | 248_010 AI capabilities will advance 100x in 2026 (by summer, potentially more). Dave Blundin | AI | 20% | ||
| 0.62 | github_release 2019-08-15 | AI_006 True autonomous agents are 'not anywhere close' — AGI and reliable long-horizon agents will require a full decade (2034 or beyond) to develop the holistic contextual reasoning and robust world models needed for unconstrained physical and digital enviro... Andrej Karpathy | AI | 38% | ||
| 0.62 | github_release 2025-12-19 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.62 | github_release 2024-10-04 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.62 | github_release 2018-08-31 | 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% | ||
| 0.62 | github_release 2018-08-31 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.62 | github_release 2023-05-22 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.62 | github_release 2025-06-25 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.62 | github_release 2023-12-06 | 248_023 Ternary (sub-bit) parameter precision will be optimal for AI models. Dave Blundin | AI | 50% | ||
| 0.62 | github_release 2026-05-20 | 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% | ||
| 0.62 | github_release 2026-06-01 | 230_046 OpenAI's Noam Brown has only ~3 months of future model access internally — dramatic capability gap with public. Dave Blundin | AI | 43% | ||
| 0.62 | github_release 2026-06-01 | 247_011 OpenAI user count will soon reach 1 billion Alex Wissner-Gross | AI | 41% | ||
| 0.62 | github_release 2021-11-02 | 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% | ||
| 0.62 | github_release 2026-06-10 | 234_017 OpenAI codex lead predicts current coding agents will seem primitive in 10 weeks OpenAI Codex Lead | AI | 33% | ||
| 0.62 | github_release 2026-03-05 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.62 | github_release 2025-08-26 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.62 | github_release 2019-07-19 | 239_003 We are currently in AI hard takeoff Elon Musk | AI | 47% | ||
| 0.62 | github_release 2019-06-20 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.62 | github_release 2018-09-26 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.62 | github_release 2021-10-06 | 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% | ||
| 0.62 | github_release 2020-08-28 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.62 | github_release 2026-06-12 | 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% | ||
| 0.62 | github_release 2026-06-12 | 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% | ||
| 0.62 | github_release 2026-03-05 | 234_021 OpenAI will launch consumer AI devices in 2027 Peter Diamandis | AI | 50% | ||
| 0.62 | github_release 2026-02-10 | 239_003 We are currently in AI hard takeoff Elon Musk | AI | 47% | ||
| 0.62 | github_release 2026-02-09 | 241_037 Chinese AI strategy will stay open source / open weights Eric Schmidt | AI | 49% | ||
| 0.62 | github_release 2025-12-11 | 247_011 OpenAI user count will soon reach 1 billion Alex Wissner-Gross | AI | 41% | ||
| 0.62 | github_release 2025-11-04 | 241_037 Chinese AI strategy will stay open source / open weights Eric Schmidt | AI | 49% | ||
| 0.62 | github_release 2022-09-21 | 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% | ||
| 0.62 | github_release 2021-11-02 | 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% | ||
| 0.62 | github_release 2026-04-13 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.62 | github_release 2026-01-26 | 229_002 Figure will scale out robots in industrial/commercial workforce in 2026 via its signed customers. Brett Adcock | Robotics | 56% | ||
| 0.62 | github_release 2026-01-26 | 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% | ||
| 0.62 | github_release 2026-01-13 | 229_001 Figure will put robots on its own manufacturing lines (BotQ) this year to build robots. Brett Adcock | Robotics | 39% | ||
| 0.62 | github_release 2025-09-04 | 229_039 Figure will integrate additional sensors (infrared, ultraviolet, etc.) into future humanoids. Brett Adcock | Robotics | 28% | ||
| 0.62 | github_release 2026-03-02 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.62 | github_release 2023-11-14 | 248_048 AI models will move to a post-binary (sub-one-bit) numerical precision paradigm. Alex Wissner-Gross | AI | 34% | ||
| 0.62 | github_release 2025-10-15 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.62 | github_release 2023-11-15 | 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% | ||
| 0.62 | github_release 2023-10-04 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.62 | github_release 2023-10-04 | 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% | ||
| 0.62 | github_release 2026-05-06 | 230_046 OpenAI's Noam Brown has only ~3 months of future model access internally — dramatic capability gap with public. Dave Blundin | AI | 43% | ||
| 0.62 | github_release 2026-05-05 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.62 | 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% | ||
| 0.62 | github_release 2023-01-31 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.62 | github_release 2023-01-31 | TK04 Macro Recession 2026-27 (Structural Deleveraging) | — | 25% | ||
| 0.62 | github_release 2025-05-12 | 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% | ||
| 0.62 | github_release 2025-03-20 | 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% | ||
| 0.62 | github_release 2021-01-07 | 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% | ||
| 0.62 | github_release 2021-06-30 | S_HUMANOID_ENTERPRISE_2028 Humanoid R2: 100K+ enterprise by Nov 2028 | humanoid_deployment | 50% | ||
| 0.62 | github_release 2020-09-18 | 242_051 Dyson swarm compute infrastructure will be realized in a few years Alex Wissner-Gross | Space | 37% | ||
| 0.62 | github_release 2020-05-28 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.62 | github_release 2020-08-04 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.62 | github_release 2020-05-17 | 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% | ||
| 0.62 | github_release 2026-03-09 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.62 | github_release 2026-03-09 | CMQ_010 True AGI requires genuine scientific-discovery capabilities (AlphaFold-class breakthroughs) — brute-force LLM scaling alone is insufficient. Demis Hassabis | AI | 49% | ||
| 0.62 | github_release 2025-12-11 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.62 | github_release 2022-12-19 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.62 | github_release 2026-05-15 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2026-04-15 | 234_017 OpenAI codex lead predicts current coding agents will seem primitive in 10 weeks OpenAI Codex Lead | AI | 33% | ||
| 0.61 | github_release 2026-02-23 | 247_011 OpenAI user count will soon reach 1 billion Alex Wissner-Gross | AI | 41% | ||
| 0.61 | github_release 2026-02-05 | 235_008 Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months. Alex Wissner-Gross | AI | 42% | ||
| 0.61 | github_release 2025-12-15 | 247_011 OpenAI user count will soon reach 1 billion Alex Wissner-Gross | AI | 41% | ||
| 0.61 | github_release 2025-11-13 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.61 | github_release 2025-11-10 | 232_012 US-China AI situation about to get more complicated regarding open source models and secrets. Ben Horowitz | Geopolitics | 44% | ||
| 0.61 | github_release 2026-03-04 | 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% | ||
| 0.61 | github_release 2026-01-13 | 248_038 We will see humanoid robot threats alongside the current Sam Altman backlash. Salim Ismail | Robotics | 34% | ||
| 0.61 | github_release 2023-11-14 | 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% | ||
| 0.61 | github_release 2023-07-05 | 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% | ||
| 0.61 | github_release 2026-03-23 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.61 | github_release 2023-10-04 | 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% | ||
| 0.61 | github_release 2026-05-05 | 247_012 The bar for AI startups will rise to require being recursively self-improving Alex Wissner-Gross | AI | 32% | ||
| 0.61 | github_release 2019-08-15 | AUT_017 Defining 2023-2026 shift: maturation of 'Agentic AI' via heavy fine-tuning of pre-trained LLMs using advanced reinforcement learning techniques — single foundational models seamlessly handling diverse complex tasks (market analysis, software engineerin... Jimmy Ba | AI | 65% | ||
| 0.61 | github_release 2019-05-30 | 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% | ||
| 0.61 | github_release 2018-07-12 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2018-07-12 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.61 | github_release 2025-10-15 | 241_037 Chinese AI strategy will stay open source / open weights Eric Schmidt | AI | 49% | ||
| 0.61 | github_release 2023-01-31 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.61 | github_release 2025-11-12 | 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% | ||
| 0.61 | github_release 2026-05-11 | 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% | ||
| 0.61 | github_release 2025-05-12 | 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% | ||
| 0.61 | github_release 2025-02-28 | 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% | ||
| 0.61 | github_release 2021-02-22 | 243_015 Software space for autonomous may consolidate to fewer than 10 providers Dara Khosrowshahi | Auto/Transport | 46% | ||
| 0.61 | github_release 2023-10-19 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2021-07-30 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.61 | github_release 2026-06-03 | 247_011 OpenAI user count will soon reach 1 billion Alex Wissner-Gross | AI | 41% | ||
| 0.61 | github_release 2021-03-13 | 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% | ||
| 0.61 | github_release 2020-05-17 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2025-11-21 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.61 | github_release 2025-10-07 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.61 | github_release 2025-09-24 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.61 | github_release 2024-09-13 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.61 | github_release 2024-09-13 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2022-04-28 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.61 | github_release 2021-02-09 | 248_032 First-generation neural uploads will be destructive; 2nd-4th generation will be non-destructive. Alex Wissner-Gross | Biotech/Longevity | 42% | ||
| 0.61 | github_release 2026-05-15 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.61 | github_release 2025-12-11 | 239_004 xAI/Grok will catch up and exceed competitors on coding by mid-2026 Elon Musk | AI | 40% | ||
| 0.61 | github_release 2025-11-13 | 235_008 Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months. Alex Wissner-Gross | AI | 42% | ||
| 0.61 | github_release 2023-01-12 | 230_040 AI capability/accuracy will improve recursively; output-checking issues will be eliminated quickly. Peter Diamandis | AI | 27% | ||
| 0.61 | github_release 2022-08-25 | CMQ_010 True AGI requires genuine scientific-discovery capabilities (AlphaFold-class breakthroughs) — brute-force LLM scaling alone is insufficient. Demis Hassabis | AI | 49% | ||
| 0.61 | github_release 2022-06-13 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2022-01-28 | 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% | ||
| 0.61 | github_release 2021-09-30 | 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% | ||
| 0.61 | github_release 2026-03-27 | 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% | ||
| 0.61 | github_release 2026-03-02 | 248_023 Ternary (sub-bit) parameter precision will be optimal for AI models. Dave Blundin | AI | 50% | ||
| 0.61 | github_release 2026-02-09 | 248_023 Ternary (sub-bit) parameter precision will be optimal for AI models. Dave Blundin | AI | 50% | ||
| 0.61 | github_release 2022-03-10 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.61 | github_release 2023-05-22 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.61 | github_release 2025-08-13 | 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% | ||
| 0.61 | github_release 2024-10-22 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.61 | github_release 2024-09-13 | 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% | ||
| 0.61 | github_release 2024-09-13 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2026-01-07 | 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% | ||
| 0.61 | github_release 2025-05-28 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2020-09-18 | 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% | ||
| 0.61 | github_release 2026-06-10 | 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% | ||
| 0.61 | github_release 2018-12-19 | 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% | ||
| 0.61 | github_release 2026-05-11 | 242_048 FDA will move to zero clinical trial model given enough Bayesian/computational evidence Alex Wissner-Gross | Biotech/Longevity | 31% | ||
| 0.61 | github_release 2026-02-25 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2025-10-09 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.61 | github_release 2025-08-26 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2020-08-28 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2020-04-27 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2026-06-22 | 241_011 By end of 2026, no one will write code manually - it'll be a quaint skill Peter Diamandis | Labor/Jobs | 47% | ||
| 0.61 | github_release 2026-02-23 | 232_012 US-China AI situation about to get more complicated regarding open source models and secrets. Ben Horowitz | Geopolitics | 44% | ||
| 0.61 | github_release 2026-02-14 | 235_008 Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months. Alex Wissner-Gross | AI | 42% | ||
| 0.61 | github_release 2026-02-14 | 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% | ||
| 0.61 | github_release 2025-11-04 | 238_025 AI computer-use benchmarks (OSWorld, Tbench) have broken through human level Emad Mostaque | AI | 45% | ||
| 0.61 | github_release 2026-04-13 | 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% | ||
| 0.61 | github_release 2026-04-09 | 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% | ||
| 0.61 | github_release 2026-01-13 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.61 | github_release 2025-11-24 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.61 | github_release 2025-09-04 | 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% | ||
| 0.61 | github_release 2025-09-04 | 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% | ||
| 0.61 | github_release 2025-07-28 | TK01 AGI Capability Plateau (2026-27 Training Stall) | — | 15% | ||
| 0.61 | github_release 2024-02-22 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2026-05-05 | 239_003 We are currently in AI hard takeoff Elon Musk | AI | 47% | ||
| 0.61 | github_release 2026-03-06 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2025-12-03 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2025-01-31 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2018-08-31 | 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% | ||
| 0.61 | github_release 2026-05-07 | 241_011 By end of 2026, no one will write code manually - it'll be a quaint skill Peter Diamandis | Labor/Jobs | 47% | ||
| 0.61 | github_release 2026-04-26 | 230_045 GDP will be replaced by an 'Abundance Capability Index' measuring capacity to solve problems. Alex Wissner-Gross | Macro/Economy | 26% | ||
| 0.61 | github_release 2026-04-06 | 234_048 Next major revolutions in foundation models will come from small language models Alex Wissner-Gross | AI | 41% | ||
| 0.61 | github_release 2024-10-30 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.61 | github_release 2024-09-12 | 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% | ||
| 0.61 | github_release 2025-05-12 | 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% | ||
| 0.61 | github_release 2025-02-28 | 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% | ||
| 0.61 | github_release 2024-01-03 | 238_022 From here forward, training data will be synthetic (pre-training era of human internet data is over) Alex Wissner-Gross | AI | 39% | ||
| 0.61 | github_release 2026-06-01 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.61 | github_release 2020-09-18 | 235_008 Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months. Alex Wissner-Gross | AI | 42% | ||
| 0.61 | github_release 2021-03-13 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.61 | github_release 2026-04-21 | COD_BIO_001 FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026 Codex Research Pack | Biotech/Longevity | 47% | ||
| 0.61 | github_release 2026-03-23 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.61 | github_release 2026-03-16 | 245_025 Colossal gene editing efficiency has risen from 15% industry / 40% internal to 90% at hundreds of edits Ben Lamm | Biotech/Longevity | 80% | ||
| 0.61 | github_release 2026-03-16 | 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% | ||
| 0.61 | github_release 2026-02-25 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2025-10-07 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.61 | github_release 2023-04-05 | 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% | ||
| 0.61 | github_release 2020-08-28 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.61 | github_release 2026-05-04 | 230_046 OpenAI's Noam Brown has only ~3 months of future model access internally — dramatic capability gap with public. Dave Blundin | AI | 43% | ||
| 0.61 | github_release 2026-03-13 | 232_012 US-China AI situation about to get more complicated regarding open source models and secrets. Ben Horowitz | Geopolitics | 44% | ||
| 0.61 | github_release 2026-02-23 | 235_008 Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months. Alex Wissner-Gross | AI | 42% | ||
| 0.61 | github_release 2026-02-16 | 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% | ||
| 0.61 | github_release 2025-11-25 | 236_028 AI chatbot/AI romance trend growing unfortunately Andrew Yang | Consumer | 51% | ||
| 0.61 | github_release 2026-02-09 | 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% | ||
| 0.61 | github_release 2025-08-13 | TK01 AGI Capability Plateau (2026-27 Training Stall) | — | 15% | ||
| 0.61 | github_release 2023-09-26 | 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% | ||
| 0.61 | github_release 2024-03-15 | CYB_020 Starlink expansion — navigating regulatory regimes like India's IN-SPACe approvals — establishes a ubiquitous, high-bandwidth data canopy essential for routing planetary-scale AI agent communications without terrestrial fiber-optic latency. Gwynne Shotwell | Space | 65% | ||
| 0.61 | github_release 2026-02-09 | 242_048 FDA will move to zero clinical trial model given enough Bayesian/computational evidence Alex Wissner-Gross | Biotech/Longevity | 31% | ||
| 0.61 | github_release 2023-01-31 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.61 | github_release 2026-05-15 | 232_012 US-China AI situation about to get more complicated regarding open source models and secrets. Ben Horowitz | Geopolitics | 44% | ||
| 0.61 | github_release 2021-06-10 | CYB_014 The Exponential Organization (ExO) framework becomes mandatory corporate structure — ExOs leverage AI agents to scale operations non-linearly without corresponding headcount increases. High-friction services historically reserved for high-net-worth cli... Salim Ismail | Macro/Economy | 58% | ||
| 0.61 | github_release 2019-06-14 | 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% | ||
| 0.61 | github_release 2026-02-17 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.61 | github_release 2025-12-11 | 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% | ||
| 0.61 | github_release 2025-10-07 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2023-10-31 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2023-10-31 | 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% | ||
| 0.61 | github_release 2022-10-23 | 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% | ||
| 0.61 | github_release 2022-08-10 | 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% | ||
| 0.61 | github_release 2026-04-22 | 238_010 AI takeoff/inflection is happening now Emad Mostaque | AI | 66% | ||
| 0.61 | github_release 2026-02-09 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.61 | github_release 2025-12-19 | 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% | ||
| 0.61 | github_release 2022-09-21 | 235_005 AI capability will grow 100x this year in raw parameter count as lower bound. Dave Blundin | AI | 49% | ||
| 0.61 | github_release 2022-01-28 | 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% | ||
| 0.61 | github_release 2021-07-16 | 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% | ||
| 0.61 | github_release 2026-04-23 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.61 | github_release 2026-04-13 | 238_071 Future AI models may compress all human knowledge into megabytes via post-transformer breakthroughs Alex Wissner-Gross | AI | 35% | ||
| 0.61 | github_release 2026-04-09 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.61 | github_release 2026-04-09 | 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% | ||
| 0.61 | github_release 2026-01-13 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.61 | github_release 2025-09-12 | 238_040 Google may announce a locally hosted Gemma-type model at WWDC in June 2026 for Apple OS Alex Wissner-Gross | AI | 34% | ||
| 0.61 | github_release 2025-02-24 | 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% | ||
| 0.61 | 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% | ||
| 0.61 | github_release 2025-04-23 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2024-07-24 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.61 | github_release 2024-07-24 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2024-01-30 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.61 | github_release 2023-03-15 | 240_013 Sam Altman predicts another architecture breakthrough as big as transformers over LSTMs Sam Altman | AI | 41% | ||
| 0.61 | github_release 2026-04-17 | 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% | ||
| 0.61 | github_release 2026-02-09 | 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% | ||
| 0.61 | github_release 2025-01-06 | TK01 AGI Capability Plateau (2026-27 Training Stall) | — | 15% | ||
| 0.61 | github_release 2023-04-26 | 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% | ||
| 0.61 | github_release 2025-08-13 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2023-12-06 | 248_048 AI models will move to a post-binary (sub-one-bit) numerical precision paradigm. Alex Wissner-Gross | AI | 34% | ||
| 0.61 | github_release 2026-04-21 | 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% | ||
| 0.61 | github_release 2026-05-20 | 240_013 Sam Altman predicts another architecture breakthrough as big as transformers over LSTMs Sam Altman | AI | 41% | ||
| 0.61 | github_release 2023-10-19 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.61 | github_release 2026-06-10 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.61 | github_release 2025-09-18 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.61 | github_release 2025-09-16 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2025-08-26 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.61 | github_release 2019-06-20 | 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% | ||
| 0.61 | github_release 2023-10-31 | 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% | ||
| 0.61 | github_release 2023-10-31 | 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% | ||
| 0.61 | github_release 2022-10-23 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.61 | github_release 2022-08-10 | 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% | ||
| 0.61 | github_release 2020-04-27 | 248_032 First-generation neural uploads will be destructive; 2nd-4th generation will be non-destructive. Alex Wissner-Gross | Biotech/Longevity | 42% | ||
| 0.61 | github_release 2020-04-27 | 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% | ||
| 0.61 | github_release 2026-06-16 | 247_011 OpenAI user count will soon reach 1 billion Alex Wissner-Gross | AI | 41% | ||
| 0.61 | github_release 2026-02-09 | 234_017 OpenAI codex lead predicts current coding agents will seem primitive in 10 weeks OpenAI Codex Lead | AI | 33% | ||
| 0.61 | github_release 2022-06-13 | 239_003 We are currently in AI hard takeoff Elon Musk | AI | 47% | ||
| 0.61 | github_release 2021-11-02 | 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% | ||
| 0.61 | github_release 2021-09-30 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2026-04-09 | 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% | ||
| 0.61 | github_release 2026-01-26 | 248_038 We will see humanoid robot threats alongside the current Sam Altman backlash. Salim Ismail | Robotics | 34% | ||
| 0.61 | github_release 2025-11-24 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.61 | github_release 2026-03-02 | 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% | ||
| 0.61 | github_release 2025-08-13 | CMQ_025 The entire global installed base of data centers must be ripped out and replaced — legacy DCs unfit for AI factory workloads. Jensen Huang | AI/Compute | 49% | ||
| 0.61 | github_release 2023-11-03 | 248_048 AI models will move to a post-binary (sub-one-bit) numerical precision paradigm. Alex Wissner-Gross | AI | 34% | ||
| 0.61 | github_release 2023-10-25 | 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% | ||
| 0.61 | github_release 2023-07-05 | 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% | ||
| 0.61 | github_release 2023-07-05 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.61 | github_release 2023-03-15 | 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% | ||
| 0.61 | github_release 2022-03-10 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2025-12-03 | 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% | ||
| 0.61 | github_release 2024-10-04 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2022-01-10 | 236_028 AI chatbot/AI romance trend growing unfortunately Andrew Yang | Consumer | 51% | ||
| 0.61 | github_release 2022-01-10 | 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% | ||
| 0.61 | 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% | ||
| 0.61 | github_release 2026-01-20 | 242_048 FDA will move to zero clinical trial model given enough Bayesian/computational evidence Alex Wissner-Gross | Biotech/Longevity | 31% | ||
| 0.61 | github_release 2025-12-02 | 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% | ||
| 0.61 | github_release 2023-05-22 | TK04 Macro Recession 2026-27 (Structural Deleveraging) | — | 25% | ||
| 0.61 | github_release 2026-02-20 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2025-06-25 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.61 | github_release 2024-12-31 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.61 | github_release 2024-09-13 | 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% | ||
| 0.61 | github_release 2026-05-11 | 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% | ||
| 0.61 | github_release 2025-10-15 | 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% | ||
| 0.61 | github_release 2025-05-12 | 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% | ||
| 0.61 | github_release 2025-05-28 | 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% | ||
| 0.61 | github_release 2025-05-09 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2022-04-12 | 242_051 Dyson swarm compute infrastructure will be realized in a few years Alex Wissner-Gross | Space | 37% | ||
| 0.61 | github_release 2026-04-26 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2026-06-03 | 234_017 OpenAI codex lead predicts current coding agents will seem primitive in 10 weeks OpenAI Codex Lead | AI | 33% | ||
| 0.61 | github_release 2019-03-15 | 234_048 Next major revolutions in foundation models will come from small language models Alex Wissner-Gross | AI | 41% | ||
| 0.61 | github_release 2018-06-06 | 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% | ||
| 0.61 | github_release 2022-12-19 | 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% | ||
| 0.61 | github_release 2021-02-09 | 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% | ||
| 0.61 | github_release 2025-03-17 | SEM_021 Largest AI models will see a 100x leap in size by 2026, driven largely by Chinese research efforts using quantization breakthroughs. Dave Blundin | AI/China | 45% | ||
| 0.61 | github_release 2026-04-08 | 236_028 AI chatbot/AI romance trend growing unfortunately Andrew Yang | Consumer | 51% | ||
| 0.61 | github_release 2025-11-17 | 234_017 OpenAI codex lead predicts current coding agents will seem primitive in 10 weeks OpenAI Codex Lead | AI | 33% | ||
| 0.61 | github_release 2025-11-10 | 239_004 xAI/Grok will catch up and exceed competitors on coding by mid-2026 Elon Musk | AI | 40% | ||
| 0.61 | github_release 2022-06-13 | 235_005 AI capability will grow 100x this year in raw parameter count as lower bound. Dave Blundin | AI | 49% | ||
| 0.61 | github_release 2021-11-02 | CMQ_010 True AGI requires genuine scientific-discovery capabilities (AlphaFold-class breakthroughs) — brute-force LLM scaling alone is insufficient. Demis Hassabis | AI | 49% | ||
| 0.61 | github_release 2021-11-02 | 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% | ||
| 0.61 | github_release 2021-09-30 | IND_014 Generative AI has rendered static one-size-fits-all learning structurally obsolete — 'every textbook is obsolete' as AI tutors construct personalized lessons mapped perfectly to student mastery level; total disintermediation of the human academic teach... Joe Liemandt | Education | 48% | ||
| 0.61 | github_release 2026-04-09 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.61 | github_release 2026-04-09 | 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% | ||
| 0.61 | github_release 2026-04-09 | 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% | ||
| 0.61 | github_release 2025-09-04 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2026-03-06 | 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% | ||
| 0.61 | 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% | ||
| 0.61 | github_release 2023-10-25 | 248_048 AI models will move to a post-binary (sub-one-bit) numerical precision paradigm. Alex Wissner-Gross | AI | 34% | ||
| 0.61 | github_release 2025-08-06 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.61 | github_release 2026-05-06 | 234_017 OpenAI codex lead predicts current coding agents will seem primitive in 10 weeks OpenAI Codex Lead | AI | 33% | ||
| 0.61 | github_release 2026-05-06 | 235_005 AI capability will grow 100x this year in raw parameter count as lower bound. Dave Blundin | AI | 49% | ||
| 0.61 | github_release 2022-06-15 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.61 | github_release 2021-02-17 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2025-12-03 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.61 | github_release 2023-04-26 | 234_048 Next major revolutions in foundation models will come from small language models Alex Wissner-Gross | AI | 41% | ||
| 0.61 | github_release 2024-09-13 | 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% | ||
| 0.61 | github_release 2024-07-09 | 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% | ||
| 0.61 | github_release 2026-05-11 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.61 | github_release 2025-10-16 | 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% | ||
| 0.61 | github_release 2024-03-21 | 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% | ||
| 0.61 | github_release 2026-05-15 | 247_011 OpenAI user count will soon reach 1 billion Alex Wissner-Gross | AI | 41% | ||
| 0.61 | github_release 2026-05-20 | AUT_020 AI-driven adaptive learning platforms operating with near-total autonomy — human teachers transition from content deliverers to motivational 'guides' while AI handles entirety of core academic instruction. Short highly-focused 'Pomodoro' sessions manag... MacKenzie Price | Education | 49% | ||
| 0.61 | github_release 2026-03-16 | 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% | ||
| 0.61 | github_release 2026-03-05 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.61 | github_release 2025-11-13 | 242_048 FDA will move to zero clinical trial model given enough Bayesian/computational evidence Alex Wissner-Gross | Biotech/Longevity | 31% | ||
| 0.61 | github_release 2025-11-13 | 247_050 Virtual cell achievable through classical scaling without quantum computing Alex Wissner-Gross | Biotech/Longevity | 44% | ||
| 0.61 | github_release 2019-07-19 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.61 | github_release 2024-09-13 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.61 | github_release 2022-08-10 | 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% | ||
| 0.61 | github_release 2026-06-16 | 247_060 Anthropic will win over OpenAI via better/smarter AI regardless of installed base Dave Blundin | AI | 50% | ||
| 0.61 | github_release 2025-03-17 | S_HUMANOID_ENTERPRISE_2028 Humanoid R2: 100K+ enterprise by Nov 2028 | humanoid_deployment | 50% | ||
| 0.61 | github_release 2026-03-13 | 232_010 Voice becomes the new interface in the AI era, replacing typing. Peter Diamandis | AI | 52% | ||
| 0.61 | github_release 2026-02-09 | 239_003 We are currently in AI hard takeoff Elon Musk | AI | 47% | ||
| 0.61 | github_release 2022-06-13 | 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% | ||
| 0.61 | github_release 2026-04-23 | 236_028 AI chatbot/AI romance trend growing unfortunately Andrew Yang | Consumer | 51% | ||
| 0.61 | github_release 2025-11-25 | 232_012 US-China AI situation about to get more complicated regarding open source models and secrets. Ben Horowitz | Geopolitics | 44% | ||
| 0.61 | github_release 2025-01-24 | 242_044 Base AI models becoming commodity; value migrates up the stack Alex Wissner-Gross | AI | 35% | ||
| 0.61 | github_release 2026-03-23 | 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% | ||
| 0.61 | github_release 2023-10-04 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.61 | github_release 2021-04-28 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.61 | github_release 2026-03-03 | COD_SPC_005 NASA Dragonfly launches on Falcon Heavy in the July 2028 window Codex Research Pack | Space | 33% | ||
| 0.61 | github_release 2025-01-31 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.61 | github_release 2026-05-07 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.61 | github_release 2026-03-24 | 242_048 FDA will move to zero clinical trial model given enough Bayesian/computational evidence Alex Wissner-Gross | Biotech/Longevity | 31% | ||
| 0.61 | github_release 2025-10-15 | TK04 Macro Recession 2026-27 (Structural Deleveraging) | — | 25% | ||
| 0.61 | github_release 2025-09-24 | 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% | ||
| 0.61 | github_release 2023-05-22 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.61 | github_release 2025-08-13 | 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% | ||
| 0.61 | github_release 2025-10-15 | 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% | ||
| 0.61 | github_release 2025-03-05 | 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% | ||
| 0.61 | github_release 2025-10-16 | 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% | ||
| 0.61 | github_release 2023-12-19 | 232_014 Recursive self-improvement is already here, not 12 months away. Alex Wissner-Gross | AI | 70% | ||
| 0.61 | github_release 2023-06-16 | SPC_017 Startups capable of cleaning, structuring, and validating multimodal data pipelines (video, telemetry, Earth-observation) will unlock enterprise value of space-based observations — unstructured multimodal data causes AI agent workflows to hallucinate o... Jennifer Li | AI | 63% | ||
| 0.61 | 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% | ||
| 0.61 | github_release 2021-01-29 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.61 | github_release 2026-06-10 | 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% | ||
| 0.61 | github_release 2025-12-11 | 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% | ||
| 0.61 | github_release 2025-11-21 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2025-10-24 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.61 | github_release 2019-03-15 | 238_070 Small language models will be where most algorithmic breakthroughs come from (crowdsourced) Alex Wissner-Gross | AI | 42% | ||
| 0.61 | github_release 2022-08-10 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.61 | github_release 2026-05-15 | 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% | ||
| 0.61 | github_release 2025-03-17 | 235_005 AI capability will grow 100x this year in raw parameter count as lower bound. Dave Blundin | AI | 49% | ||
| 0.61 | github_release 2025-03-17 | 239_003 We are currently in AI hard takeoff Elon Musk | AI | 47% | ||
| 0.61 | github_release 2026-03-25 | 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% | ||
| 0.61 | github_release 2025-11-13 | 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% | ||
| 0.61 | github_release 2025-09-17 | 237_019 Code generation models are pushing development in the direction of TypeScript instead of Rust for memory safety. Alex Wissner-Gross | AI | 35% | ||
| 0.61 | github_release 2026-03-06 | 246_036 Terafab will deliver 1 terawatt/year AI compute, 50x current global output of 20 gigawatt. Peter Diamandis | AI | 46% | ||
| 0.61 | github_release 2025-07-28 | CMQ_025 The entire global installed base of data centers must be ripped out and replaced — legacy DCs unfit for AI factory workloads. Jensen Huang | AI/Compute | 49% | ||
| 0.61 | github_release 2023-11-03 | 248_023 Ternary (sub-bit) parameter precision will be optimal for AI models. Dave Blundin | AI | 50% | ||
| 0.61 | github_release 2023-11-15 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2026-05-05 | 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% | ||
| 0.61 | github_release 2021-02-17 | 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% | ||
| 0.61 | github_release 2021-02-17 | TK01 AGI Capability Plateau (2026-27 Training Stall) | — | 15% | ||
| 0.61 | github_release 2024-10-04 | 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% | ||
| 0.61 | github_release 2019-05-30 | 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% | ||
| 0.61 | github_release 2018-03-01 | 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% | ||
| 0.61 | github_release 2026-02-09 | 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% | ||
| 0.61 | github_release 2026-01-20 | TK04 Macro Recession 2026-27 (Structural Deleveraging) | — | 25% | ||
| 0.61 | github_release 2025-09-24 | 242_044 Base AI models becoming commodity; value migrates up the stack Alex Wissner-Gross | AI | 35% | ||
| 0.61 | github_release 2025-05-02 | 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% | ||
| 0.61 | github_release 2023-05-22 | 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% | ||
| 0.61 | github_release 2021-01-23 | 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% | ||
| 0.61 | github_release 2026-05-18 | AUT_002 Models excelling at highly structured mathematical benchmarks exhibit a 'unified capability substrate' enabling dominance in seemingly unrelated fields (coding, logical reasoning, scientific discovery) — the 'mathematical skeleton' of the technological... Alex Wissner-Gross | AI | 59% | ||
| 0.61 | github_release 2021-07-30 | 247_045 1X Neo humanoid robot will be delivered this summer 2026 Peter Diamandis | Robotics | 32% | ||
| 0.61 | github_release 2020-05-28 | 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% | ||
| 0.61 | github_release 2020-11-06 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2026-04-21 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.61 | github_release 2026-03-08 | IND_012 NVIDIA BioNeMo platform + Evo 2 model fundamentally compresses a century of biology into a decade — Evo 2 achieves 90% accuracy in BRCA1 predictions; AI models will seamlessly transition generated biological designs into practical, synthesized clinical... Jensen Huang | Biotech/Longevity | 68% | ||
| 0.61 | github_release 2026-03-08 | 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% | ||
| 0.61 | github_release 2026-03-05 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.61 | github_release 2025-10-23 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.61 | github_release 2023-04-05 | 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% | ||
| 0.61 | github_release 2021-12-16 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2026-06-23 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.61 | github_release 2026-04-08 | 232_012 US-China AI situation about to get more complicated regarding open source models and secrets. Ben Horowitz | Geopolitics | 44% | ||
| 0.61 | github_release 2025-12-10 | 235_005 AI capability will grow 100x this year in raw parameter count as lower bound. Dave Blundin | AI | 49% | ||
| 0.61 | github_release 2022-09-21 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.61 | github_release 2022-08-25 | 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% | ||
| 0.61 | github_release 2021-09-30 | 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% | ||
| 0.61 | github_release 2021-07-16 | 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% | ||
| 0.61 | github_release 2026-04-28 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.61 | github_release 2026-04-09 | 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% | ||
| 0.61 | github_release 2026-03-27 | 232_008 Real-time AI video generation will break any video/voice-based security mechanisms. Ben Horowitz | AI | 46% | ||
| 0.61 | github_release 2026-01-13 | 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% | ||
| 0.61 | github_release 2025-11-25 | 234_048 Next major revolutions in foundation models will come from small language models Alex Wissner-Gross | AI | 41% | ||
| 0.61 | github_release 2026-02-09 | 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% | ||
| 0.61 | github_release 2025-08-13 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.61 | github_release 2025-07-28 | 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% | ||
| 0.61 | github_release 2023-11-14 | 248_023 Ternary (sub-bit) parameter precision will be optimal for AI models. Dave Blundin | AI | 50% | ||
| 0.61 | github_release 2023-11-03 | 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% | ||
| 0.61 | github_release 2023-10-25 | 248_023 Ternary (sub-bit) parameter precision will be optimal for AI models. Dave Blundin | AI | 50% | ||
| 0.61 | github_release 2023-09-26 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.61 | github_release 2025-08-06 | 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% | ||
| 0.61 | github_release 2024-03-27 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.61 | github_release 2023-11-15 | 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% | ||
| 0.61 | github_release 2026-01-18 | S_ROBOTAXI_TESLA_2026 Tesla FSD unsupervised wide deployment by Nov 2026 | robotaxi_deployment | 40% | ||
| 0.61 | github_release 2021-02-17 | 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% | ||
| 0.61 | github_release 2018-07-12 | 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% | ||
| 0.61 | github_release 2026-05-07 | 242_055 Activist investing will be disrupted by AI writing open letters to public firms Alex Wissner-Gross | Markets/Stocks | 34% | ||
| 0.61 | github_release 2023-12-15 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.61 | github_release 2026-05-13 | 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% | ||
| 0.61 | github_release 2026-05-15 | 241_037 Chinese AI strategy will stay open source / open weights Eric Schmidt | AI | 49% | ||
| 0.61 | github_release 2021-05-13 | CYB_014 The Exponential Organization (ExO) framework becomes mandatory corporate structure — ExOs leverage AI agents to scale operations non-linearly without corresponding headcount increases. High-friction services historically reserved for high-net-worth cli... Salim Ismail | Macro/Economy | 58% | ||
| 0.61 | github_release 2024-01-03 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.61 | github_release 2026-05-11 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.61 | github_release 2026-04-21 | 242_048 FDA will move to zero clinical trial model given enough Bayesian/computational evidence Alex Wissner-Gross | Biotech/Longevity | 31% | ||
| 0.61 | github_release 2025-10-09 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.61 | github_release 2025-09-23 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.61 | github_release 2026-06-12 | 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% | ||
| 0.61 | github_release 2019-03-15 | 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% | ||
| 0.61 | github_release 2019-03-15 | 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% | ||
| 0.61 | github_release 2022-10-23 | 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% | ||
| 0.61 | github_release 2026-06-18 | 240_003 NVIDIA will lock up 70%+ of TSMC's 3nm node volume Dave Blundin | AI | 50% | ||
| 0.61 | github_release 2026-06-23 | 238_025 AI computer-use benchmarks (OSWorld, Tbench) have broken through human level Emad Mostaque | AI | 45% | ||
| 0.60 | github_release 2025-11-04 | 230_046 OpenAI's Noam Brown has only ~3 months of future model access internally — dramatic capability gap with public. Dave Blundin | AI | 43% | ||
| 0.60 | github_release 2022-06-13 | 232_012 US-China AI situation about to get more complicated regarding open source models and secrets. Ben Horowitz | Geopolitics | 44% | ||
| 0.60 | github_release 2026-04-09 | 248_038 We will see humanoid robot threats alongside the current Sam Altman backlash. Salim Ismail | Robotics | 34% | ||
| 0.60 | github_release 2025-09-17 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.60 | github_release 2025-09-04 | 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% | ||
| 0.60 | github_release 2025-08-27 | 237_019 Code generation models are pushing development in the direction of TypeScript instead of Rust for memory safety. Alex Wissner-Gross | AI | 35% | ||
| 0.60 | github_release 2026-03-02 | 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% | ||
| 0.60 | github_release 2025-08-13 | 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% | ||
| 0.60 | github_release 2025-08-13 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.60 | github_release 2025-03-12 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.60 | github_release 2023-11-14 | 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% | ||
| 0.60 | github_release 2024-01-30 | 240_016 Everyone is underestimating the next year of AI improvements (more than 2x gain) Dave Blundin | AI | 36% | ||
| 0.60 | github_release 2022-12-08 | 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% | ||
| 0.60 | github_release 2019-04-05 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.60 | github_release 2025-12-03 | 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% | ||
| 0.60 | github_release 2025-12-03 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.60 | github_release 2026-01-20 | 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% | ||
| 0.60 | github_release 2025-05-02 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.60 | github_release 2020-07-08 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.60 | github_release 2020-05-17 | 238_025 AI computer-use benchmarks (OSWorld, Tbench) have broken through human level Emad Mostaque | AI | 45% | ||
| 0.60 | github_release 2026-06-08 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.60 | github_release 2026-03-26 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.60 | github_release 2026-03-09 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.60 | github_release 2025-09-17 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.60 | github_release 2025-09-16 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.60 | github_release 2019-07-19 | 246_030 DeepSeek V4 will NOT shock markets like prior DeepSeek releases. Alex Wissner-Gross | Markets/Stocks | 34% | ||
| 0.60 | github_release 2024-06-27 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.60 | github_release 2023-04-05 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.60 | github_release 2026-04-22 | 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% | ||
| 0.60 | github_release 2026-06-23 | 239_003 We are currently in AI hard takeoff Elon Musk | AI | 47% | ||
| 0.60 | github_release 2021-11-05 | 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% | ||
| 0.60 | github_release 2026-04-22 | 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% | ||
| 0.60 | github_release 2025-02-25 | 241_011 By end of 2026, no one will write code manually - it'll be a quaint skill Peter Diamandis | Labor/Jobs | 47% | ||
| 0.60 | github_release 2025-07-28 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.60 | github_release 2025-07-28 | 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% | ||
| 0.60 | github_release 2025-03-12 | 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% | ||
| 0.60 | github_release 2023-09-26 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.60 | github_release 2026-03-23 | 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% | ||
| 0.60 | github_release 2026-01-21 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.60 | github_release 2026-01-21 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.60 | github_release 2022-08-05 | 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% | ||
| 0.60 | github_release 2022-03-10 | 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% | ||
| 0.60 | github_release 2026-01-18 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.60 | github_release 2022-12-08 | 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% | ||
| 0.60 | github_release 2019-05-30 | 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% | ||
| 0.60 | github_release 2026-02-09 | 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% | ||
| 0.60 | github_release 2024-10-22 | 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% | ||
| 0.60 | github_release 2023-12-15 | 248_048 AI models will move to a post-binary (sub-one-bit) numerical precision paradigm. Alex Wissner-Gross | AI | 34% | ||
| 0.60 | github_release 2026-01-07 | TK04 Macro Recession 2026-27 (Structural Deleveraging) | — | 25% | ||
| 0.60 | github_release 2025-05-02 | 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% | ||
| 0.60 | github_release 2025-04-23 | 248_032 First-generation neural uploads will be destructive; 2nd-4th generation will be non-destructive. Alex Wissner-Gross | Biotech/Longevity | 42% | ||
| 0.60 | github_release 2021-01-23 | AUT_003 'Vibe coding' — the full delegation of syntactic code generation to autonomous models, with human engineers interacting purely through natural-language intent while remaining entirely abstracted from underlying programming architecture; minimalist arch... Andrej Karpathy | AI | 87% | ||
| 0.60 | github_release 2021-01-23 | 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% | ||
| 0.60 | github_release 2020-05-28 | CYB_020 Starlink expansion — navigating regulatory regimes like India's IN-SPACe approvals — establishes a ubiquitous, high-bandwidth data canopy essential for routing planetary-scale AI agent communications without terrestrial fiber-optic latency. Gwynne Shotwell | Space | 65% | ||
| 0.60 | github_release 2025-03-25 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.60 | github_release 2020-07-08 | 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% | ||
| 0.60 | github_release 2020-05-17 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.60 | github_release 2026-06-10 | 232_012 US-China AI situation about to get more complicated regarding open source models and secrets. Ben Horowitz | Geopolitics | 44% | ||
| 0.60 | github_release 2025-10-24 | COD_BIO_001 FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026 Codex Research Pack | Biotech/Longevity | 47% | ||
| 0.60 | github_release 2025-09-17 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.60 | github_release 2018-09-26 | TK01 AGI Capability Plateau (2026-27 Training Stall) | — | 15% | ||
| 0.60 | github_release 2018-06-06 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.60 | 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% | ||
| 0.60 | github_release 2024-06-27 | 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% | ||
| 0.60 | github_release 2023-04-05 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.60 | github_release 2022-10-23 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.60 | github_release 2021-10-06 | 234_045 Moon disassembly for AI data centers may not actually be needed due to physics advances Alex Wissner-Gross | Space | 37% | ||
| 0.60 | github_release 2021-10-06 | 238_038 Compute will remain scarce until Dyson swarm is built; scarce AI agent attention will be monetized Alex Wissner-Gross | AI | 35% | ||
| 0.60 | github_release 2026-04-09 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.60 | github_release 2026-04-09 | 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% | ||
| 0.60 | github_release 2026-04-15 | 232_012 US-China AI situation about to get more complicated regarding open source models and secrets. Ben Horowitz | Geopolitics | 44% | ||
| 0.60 | github_release 2025-11-17 | 235_008 Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months. Alex Wissner-Gross | AI | 42% | ||
| 0.60 | github_release 2026-01-26 | 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% | ||
| 0.60 | github_release 2026-01-13 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.60 | github_release 2025-09-17 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.60 | github_release 2025-02-25 | 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% | ||
| 0.60 | github_release 2024-09-25 | 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% | ||
| 0.60 | github_release 2025-02-24 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.60 | github_release 2023-11-03 | 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% | ||
| 0.60 | github_release 2023-10-25 | 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% | ||
| 0.60 | github_release 2024-07-24 | 238_038 Compute will remain scarce until Dyson swarm is built; scarce AI agent attention will be monetized Alex Wissner-Gross | AI | 35% | ||
| 0.60 | github_release 2024-07-24 | 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% | ||
| 0.60 | github_release 2024-01-30 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.60 | github_release 2023-03-15 | 240_015 Post-transformer architectures will make a 1000x cost reduction look like child's play Alex Wissner-Gross | AI | 42% | ||
| 0.60 | github_release 2021-12-15 | 248_048 AI models will move to a post-binary (sub-one-bit) numerical precision paradigm. Alex Wissner-Gross | AI | 34% | ||
| 0.60 | github_release 2020-10-14 | COD_ROB_003 At least two humanoid vendors exceed 1,000 cumulative deployed robots by end 2027 Codex Research Pack | Robotics | 33% | ||
| 0.60 | github_release 2026-01-18 | 238_010 AI takeoff/inflection is happening now Emad Mostaque | AI | 66% | ||
| 0.60 | github_release 2026-01-18 | 239_003 We are currently in AI hard takeoff Elon Musk | AI | 47% | ||
| 0.60 | github_release 2026-01-18 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% |