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64,690 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 24 of 52, 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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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 | |
|---|---|---|---|---|---|---|
| 0.61 | 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 | 36% | ||
| 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 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 | 36% | ||
| 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 | 41% | ||
| 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 | 70% | ||
| 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 | 41% | ||
| 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 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 | 87% | ||
| 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% |