Validations Queue
108,318 candidate doc → node links pending adjudication. Each was auto-generated by cosine similarity ≥ 0.55 between document and prediction embeddings (bge-base-en-v1.5, 768-dim). Showing page 8 of 62, 50 rows by similarity. Adjudicating updates doc_node_links.reviewed=true with the chosen polarity, writes per-link rows to audit_log, and removes the row from this queue. Phase 4 inference will use confirmed corroborates/contradicts links as Bayesian evidence.
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Bulk auto-confirm by similarity threshold
Confirm or label (corroborates / contradicts) all unreviewed links above a similarity threshold in one transaction. Each affected row writes a per-link audit_log entry. Capped at 1,000 links per call. Use Preview first.
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| Sim | Doc | Source | Pred | Domain | Prior | |
|---|---|---|---|---|---|---|
| 0.65 | github_release 2023-10-01 | 248_032 First-generation neural uploads will be destructive; 2nd-4th generation will be non-destructive. Alex Wissner-Gross | Biotech/Longevity | 42% | ||
| 0.65 | github_release 2023-06-14 | 238_071 Future AI models may compress all human knowledge into megabytes via post-transformer breakthroughs Alex Wissner-Gross | AI | 35% | ||
| 0.65 | github_release 2026-04-28 | 234_017 OpenAI codex lead predicts current coding agents will seem primitive in 10 weeks OpenAI Codex Lead | AI | 33% | ||
| 0.65 | github_release 2026-04-01 | 231_001 Anthropic model family is closest to embodying the singularity and recursive self-improvement today. Alex Wissner-Gross | AI | 41% | ||
| 0.65 | github_release 2026-02-25 | 234_012 Anthropic revenue will cross OpenAI revenue in middle of 2026 Peter Diamandis | Markets/Stocks | 67% | ||
| 0.65 | github_release 2023-04-05 | 241_037 Chinese AI strategy will stay open source / open weights Eric Schmidt | AI | 49% | ||
| 0.65 | github_release 2020-01-21 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.65 | github_release 2024-12-27 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.65 | github_release 2026-05-28 | 235_002 Anthropic will exceed OpenAI in revenue this year (2026). Dave Blundin | AI | 75% | ||
| 0.65 | github_release 2026-05-22 | 246_050 Anthropic will release compressed/distilled version of Mythos quickly after initial release. Dave Blundin | AI | 50% | ||
| 0.65 | github_release 2022-08-22 | 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% | ||
| 0.65 | github_release 2022-04-28 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.65 | github_release 2023-06-14 | 240_033 AI will compress decades of research into years, months, weeks Salim Ismail | AI | 42% | ||
| 0.65 | github_release 2026-05-05 | 247_060 Anthropic will win over OpenAI via better/smarter AI regardless of installed base Dave Blundin | AI | 50% | ||
| 0.65 | github_release 2026-02-18 | 231_001 Anthropic model family is closest to embodying the singularity and recursive self-improvement today. Alex Wissner-Gross | AI | 41% | ||
| 0.65 | github_release 2026-03-23 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.65 | github_release 2023-03-15 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.65 | github_release 2022-06-28 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.65 | github_release 2021-10-21 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.65 | github_release 2020-09-18 | 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% | ||
| 0.65 | github_release 2024-01-31 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.65 | github_release 2026-05-28 | 234_012 Anthropic revenue will cross OpenAI revenue in middle of 2026 Peter Diamandis | Markets/Stocks | 67% | ||
| 0.65 | github_release 2026-05-20 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.65 | github_release 2021-06-30 | ROB_013 Research foundations enabling seamless human-robot interaction in complex 3D physical spaces — algorithms translating human natural-language intent directly into complex robotic actuation eliminate hard-coded robotics engineering, allowing systems to g... Jimmy Ba | Robotics | 62% | ||
| 0.65 | github_release 2021-06-30 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.65 | github_release 2026-06-17 | 235_008 Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months. Alex Wissner-Gross | AI | 42% | ||
| 0.65 | github_release 2026-06-18 | 246_047 Anthropic ARR reached $30B, surpassing OpenAI's $24-25B. Peter Diamandis | AI | 76% | ||
| 0.65 | github_release 2026-07-01 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.65 | github_release 2023-10-01 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.65 | github_release 2023-07-25 | 232_014 Recursive self-improvement is already here, not 12 months away. Alex Wissner-Gross | AI | 70% | ||
| 0.65 | github_release 2025-11-10 | 241_037 Chinese AI strategy will stay open source / open weights Eric Schmidt | AI | 49% | ||
| 0.65 | github_release 2026-04-01 | 238_028 Anthropic plugins will enable market-by-market disruption (could short stocks and announce plugins) Emad Mostaque | Markets/Stocks | 31% | ||
| 0.65 | github_release 2026-03-06 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.65 | github_release 2026-02-09 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.65 | github_release 2024-07-11 | 246_036 Terafab will deliver 1 terawatt/year AI compute, 50x current global output of 20 gigawatt. Peter Diamandis | AI | 46% | ||
| 0.65 | github_release 2025-04-23 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.65 | github_release 2024-04-24 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.65 | github_release 2021-02-17 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.65 | github_release 2020-01-21 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.65 | github_release 2024-03-01 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.65 | github_release 2025-03-20 | 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% | ||
| 0.65 | github_release 2026-05-26 | 238_025 AI computer-use benchmarks (OSWorld, Tbench) have broken through human level Emad Mostaque | AI | 45% | ||
| 0.65 | github_release 2020-01-21 | 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% | ||
| 0.65 | github_release 2022-02-15 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.65 | github_release 2025-10-07 | 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% | ||
| 0.65 | github_release 2023-06-14 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.64 | github_release 2025-11-19 | 246_047 Anthropic ARR reached $30B, surpassing OpenAI's $24-25B. Peter Diamandis | AI | 76% | ||
| 0.64 | github_release 2025-11-19 | 247_060 Anthropic will win over OpenAI via better/smarter AI regardless of installed base Dave Blundin | AI | 50% | ||
| 0.64 | github_release 2026-01-26 | 240_019 Post-transformer architecture will come out of left field within a year Dave Blundin | AI | 32% | ||
| 0.64 | github_release 2025-10-03 | 240_013 Sam Altman predicts another architecture breakthrough as big as transformers over LSTMs Sam Altman | AI | 41% |