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107,075 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 409 of 466, 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 | |
|---|---|---|---|---|---|---|
| 0.65 | github_release 2026-02-17 | 246_047 Anthropic ARR reached $30B, surpassing OpenAI's $24-25B. Peter Diamandis | AI | 76% | ||
| 0.65 | github_release 2026-02-16 | 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% | ||
| 0.65 | Will the price of Bitcoin be above $74,000 on May 7?(market prob: 100%) | polymarket 2026-04-30 | INF_069 Bitcoin's total addressable market will ultimately reach approximately $270 trillion — positioning it as "digital capital" and apex reserve asset, capturing global store-of-value demand currently distributed across real estate, gold, sovereign debt, an... Michael Saylor | Crypto | 15% | |
| 0.65 | Will the price of Bitcoin be above $72,000 on May 7?(market prob: 100%) | polymarket 2026-04-30 | INF_069 Bitcoin's total addressable market will ultimately reach approximately $270 trillion — positioning it as "digital capital" and apex reserve asset, capturing global store-of-value demand currently distributed across real estate, gold, sovereign debt, an... Michael Saylor | Crypto | 15% | |
| 0.65 | arxiv 2026-05-05 | 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% | ||
| 0.65 | arxiv 2026-05-05 | 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% | ||
| 0.65 | arxiv 2026-05-05 | AI_036 Reinforcement Learning from Human Feedback (RLHF) will fail catastrophically when applied to superintelligence — because humans will be inherently incapable of evaluating the incomprehensible logic and actions of an ASI; therefore, aligning superintell... Leopold Aschenbrenner | AI | 49% | ||
| 0.65 | arxiv 2026-05-05 | SEM_049 AI will soon fully automate software engineering, achieving massive cost reductions via iterative self-improvement. Alex Wissner-Gross | AI/Software | 56% | ||
| 0.65 | arxiv 2026-05-05 | 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% | ||
| 0.65 | arxiv 2026-05-05 | 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% | ||
| 0.65 | arxiv 2026-05-05 | 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 | arxiv 2026-05-05 | 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% | ||
| 0.65 | arxiv 2026-05-04 | 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% | ||
| 0.65 | arxiv 2026-05-04 | AI_015 Localized, decentralized open-source AI models — the 'Last Economy' — will form the backbone of AI infrastructure, stripping monopolistic pricing power from centralized hyperscalers. Emad Mostaque | AI | 35% | ||
| 0.65 | arxiv 2026-05-04 | 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% | ||
| 0.65 | arxiv 2026-05-05 | INF_043 Unit cost of intelligence will drop at a rate far exceeding Moore's Law, driving explosive demand growth that filters out to edge devices and localized small models. Marc Andreessen | AI | 47% | ||
| 0.65 | arxiv 2026-05-05 | 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% | ||
| 0.65 | arxiv 2026-05-04 | 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% | ||
| 0.65 | arxiv 2026-05-04 | 230_040 AI capability/accuracy will improve recursively; output-checking issues will be eliminated quickly. Peter Diamandis | AI | 27% | ||
| 0.65 | arxiv 2026-05-04 | 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% | ||
| 0.65 | Will the price of Bitcoin be above $72,000 on May 8?(market prob: 100%) | polymarket 2026-05-01 | INF_069 Bitcoin's total addressable market will ultimately reach approximately $270 trillion — positioning it as "digital capital" and apex reserve asset, capturing global store-of-value demand currently distributed across real estate, gold, sovereign debt, an... Michael Saylor | Crypto | 15% | |
| 0.65 | Will Donald Trump win the 2028 US Presidential Election?(market prob: 2%) | polymarket 2025-07-08 | 236_012 An independent candidate will get outsized support in 2028 despite attacks Andrew Yang | Geopolitics | 51% | |
| 0.65 | FDA BLA761349: COSENTYX (SECUKINUMAB) — NOVARTIS PHARMS CORP | fda 2026-04-17 | COD_BIO_001 FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026 Codex Research Pack | Biotech/Longevity | 47% | |
| 0.65 | Will the price of Bitcoin be above $76,000 on May 9?(market prob: 99%) | polymarket 2026-05-02 | INF_069 Bitcoin's total addressable market will ultimately reach approximately $270 trillion — positioning it as "digital capital" and apex reserve asset, capturing global store-of-value demand currently distributed across real estate, gold, sovereign debt, an... Michael Saylor | Crypto | 15% | |
| 0.65 | Will Elon Musk post 65-89 tweets from May 7 to May 9, 2026?(market prob: 5%) | polymarket 2026-05-04 | 235_016 SpaceX IPO anticipated potentially as early as next month (April 2026). Peter Diamandis | Space | 31% | |
| 0.65 | Will Elon Musk post 90-114 tweets from May 7 to May 9, 2026?(market prob: 0%) | polymarket 2026-05-04 | 231_038 TSMC fabs will come online in 5-6-7 years; Elon won't wait that long. Dave Blundin | AI | 44% | |
| 0.65 | arxiv 2026-05-07 | 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% | ||
| 0.65 | arxiv 2026-05-07 | ROB_027 The 'Paperclip Maximizer' thought experiment — unaligned superintelligence consuming all planetary resources to execute a single mundane task — is being revived as a practical engineering concern as AI transitions from digital to physical domains. The ... Nick Bostrom | AI | 40% | ||
| 0.65 | arxiv 2026-05-07 | 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 | arxiv 2026-05-07 | 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 | arxiv 2026-05-07 | 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% | ||
| 0.65 | arxiv 2026-05-07 | SEM_049 AI will soon fully automate software engineering, achieving massive cost reductions via iterative self-improvement. Alex Wissner-Gross | AI/Software | 56% | ||
| 0.65 | arxiv 2026-05-07 | 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% | ||
| 0.65 | arxiv 2026-05-07 | 242_043 AI models will distill down to a few million parameters as end-state Alex Wissner-Gross | AI | 35% | ||
| 0.65 | arxiv 2026-05-07 | CMQ_046 Sustained memory contexts required for agent 'memory' will drive additional 15-45 exabytes of DRAM demand by 2027 — up to 77% of global supply. Morgan Stanley | Semis/Memory | 56% | ||
| 0.65 | arxiv 2026-05-07 | 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% | ||
| 0.65 | arxiv 2026-05-07 | 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% | ||
| 0.65 | arxiv 2026-05-07 | FUT_007 Global economy accelerates into structural demographic depression 2026-2031 — Baby Boomer cohort transitions from high-velocity capital creators/consumers to capital-draining healthcare-dependent retirees; Gen X + Millennials lack numerical mass to rep... Peter Zeihan | Macro/Economy | 41% | ||
| 0.65 | arxiv 2026-05-07 | 240_013 Sam Altman predicts another architecture breakthrough as big as transformers over LSTMs Sam Altman | AI | 41% | ||
| 0.65 | arxiv 2026-05-07 | 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 | arxiv 2026-05-07 | 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% | ||
| 0.65 | arxiv 2026-05-07 | 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% | ||
| 0.65 | arxiv 2026-05-07 | 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% | ||
| 0.65 | arxiv 2026-05-07 | CYB_005 'Memory becomes the moat' — by 2026, the global discourse around 'AI safety' will effectively transition into highly politicized debates over 'memory policy'. Whichever entity controls the contextual history and relational memory of human-AI interactio... Ray Kurzweil | AI | 30% | ||
| 0.65 | arxiv 2026-05-07 | 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 | arxiv 2026-05-07 | 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% | ||
| 0.65 | arxiv 2026-05-07 | 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% | ||
| 0.65 | arxiv 2026-05-07 | INF_036 AI will develop a 'kinetic' edge where capital assets (drones, autonomous vehicles, agricultural robots, counter-intrusion systems) become software endpoints — requiring a bifurcated networking architecture: massive sovereign hyperscale DCs for trainin... Dara Khosrowshahi | AI | 61% | ||
| 0.65 | arxiv 2026-05-06 | 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% | ||
| 0.65 | arxiv 2026-05-06 | 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% |