Validations Queue
111,300 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 23 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 | |
|---|---|---|---|---|---|---|
| 0.62 | 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 2024-12-01 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 83% | ||
| 0.62 | github_release 2024-09-25 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.62 | github_release 2023-11-19 | 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 2020-01-23 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.62 | github_release 2020-01-08 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 28% | ||
| 0.62 | github_release 2022-01-12 | 248_032 First-generation neural uploads will be destructive; 2nd-4th generation will be non-destructive. Alex Wissner-Gross | Biotech/Longevity | 42% | ||
| 0.62 | github_release 2019-06-26 | 229_045 Figure will not differentiate by vertical form factor—general-purpose humanoid is the bet. Brett Adcock | Robotics | 28% | ||
| 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 | 24% | ||
| 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% |