Validations Queue
80,311 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 140 of 1492, 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 | |
|---|---|---|---|---|---|---|
| 0.68 | FDA BLA761055: DUPIXENT (DUPILUMAB) — REGENERON PHARMACEUTICALS | fda 2026-04-22 | COD_BIO_001 FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026 Codex Research Pack | Biotech/Longevity | 47% | |
| 0.68 | arxiv 2026-05-06 | 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% | ||
| 0.68 | arxiv 2026-05-06 | 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% | ||
| 0.68 | arxiv 2026-05-06 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.68 | Will the price of Bitcoin be above $74,000 on May 9?(market prob: 100%) | polymarket 2026-05-02 | 231_051 Entire generation growing up with crypto (Ethereum, Bitcoin) as means of exchange will have near-zero switching cost. Salim Ismail | Crypto | 48% | |
| 0.68 | arxiv 2026-05-07 | 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% | ||
| 0.68 | arxiv 2026-05-07 | 230_040 AI capability/accuracy will improve recursively; output-checking issues will be eliminated quickly. Peter Diamandis | AI | 50% | ||
| 0.68 | arxiv 2026-05-07 | CYB_006 When AI agents possess the ability to read, write, and restructure their own long-term memory banks dynamically — agentically using tools to explore search spaces, understand context, recognize what's missing, and follow algorithmic curiosity — they cr... Kevin Weil | AI | 63% | ||
| 0.68 | arxiv 2026-05-07 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.68 | arxiv 2026-05-07 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-05-07 | CMQ_043 In complex Agentic AI workloads, CPU-side processing accounts for 50-90% of end-to-end latency — validating CPU-bottleneck shift empirically. Morgan Stanley / Georgia Tech / Intel | AI/Compute | 92% | ||
| 0.68 | arxiv 2026-05-07 | CYB_011 Consumer commerce shifts from 'search and click' to 'ask and buy' — persistent AI agents with hyper-personalized memory navigate budgetary limits, ethical brand preferences, dietary restrictions, and logistical requirements with absolute precision, sev... Alex Finn | Consumer | 44% | ||
| 0.68 | arxiv 2026-05-07 | 238_070 Small language models will be where most algorithmic breakthroughs come from (crowdsourced) Alex Wissner-Gross | AI | 42% | ||
| 0.68 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-05-07 | IND_013 General intelligence requires systems capable of solving tasks across multidimensional continuous domains — DreamerV3 + world-model research demonstrates scalable algorithms using latent imagination outperform traditional reinforcement learning; future... Jimmy Ba | AI | 79% | ||
| 0.68 | arxiv 2026-05-07 | CYB_006 When AI agents possess the ability to read, write, and restructure their own long-term memory banks dynamically — agentically using tools to explore search spaces, understand context, recognize what's missing, and follow algorithmic curiosity — they cr... Kevin Weil | AI | 63% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-05-07 | IND_013 General intelligence requires systems capable of solving tasks across multidimensional continuous domains — DreamerV3 + world-model research demonstrates scalable algorithms using latent imagination outperform traditional reinforcement learning; future... Jimmy Ba | AI | 79% | ||
| 0.68 | arxiv 2026-05-06 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | manifold 2026-05-11 | CMQ_020 Nearly $2.5 trillion of AI-related infrastructure investment will flow through the global economy by 2028; >80% of that spending is still ahead of the market as of early 2026. Morgan Stanley | Macro/Economy | 67% | ||
| 0.68 | arxiv 2026-05-12 | 238_070 Small language models will be where most algorithmic breakthroughs come from (crowdsourced) Alex Wissner-Gross | AI | 42% | ||
| 0.68 | arxiv 2026-05-12 | 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% | ||
| 0.68 | arxiv 2026-05-12 | 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% | ||
| 0.68 | Will Elon Musk post 420-439 tweets from May 15 to May 22, 2026?(market prob: 0%) | polymarket 2026-05-12 | 234_015 Anthropic, OpenAI and SpaceX IPOs are likely within the next 6 months Peter Diamandis | Markets/Stocks | 41% | |
| 0.68 | arxiv 2026-05-13 | 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% | ||
| 0.68 | arxiv 2026-05-14 | 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% | ||
| 0.68 | arxiv 2026-05-14 | 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% | ||
| 0.68 | arxiv 2026-05-14 | IND_013 General intelligence requires systems capable of solving tasks across multidimensional continuous domains — DreamerV3 + world-model research demonstrates scalable algorithms using latent imagination outperform traditional reinforcement learning; future... Jimmy Ba | AI | 79% | ||
| 0.68 | arxiv 2026-05-14 | ROB_001 If hundreds of millions of AGI instances are deployed simultaneously by 2027 to automate the algorithms governing their own architectures, the industry will compress a decade of human-led algorithmic progress into less than a year — culminating in 'run... Leopold Aschenbrenner | AI | 29% | ||
| 0.68 | arxiv 2026-05-14 | 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% | ||
| 0.68 | arxiv 2026-05-14 | 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% | ||
| 0.68 | arxiv 2026-05-14 | 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% | ||
| 0.68 | Will Bitcoin dip to $76,000 on May 19?(market prob: 5%) | polymarket 2026-05-19 | CMQ_060 Bitcoin will reach $21 million per coin by 2046 — driven by unprecedented political, regulatory, and policy shifts in the US. Michael Saylor | Crypto | 20% | |
| 0.68 | arxiv 2026-05-18 | 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% | ||
| 0.68 | arxiv 2026-05-18 | 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% | ||
| 0.68 | arxiv 2026-05-18 | 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% | ||
| 0.68 | arxiv 2026-05-18 | 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% | ||
| 0.68 | arxiv 2026-05-17 | 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% | ||
| 0.68 | 30T market cap company before 2027?(market prob: 2%) | manifold 2026-05-26 | 242_033 Companies will race to 80% token spend / 20% salary; good by 2030-2032 Dave Blundin | Labor/Jobs | 49% | |
| 0.68 | manifold 2026-05-26 | 246_007 SpaceX road show will begin in June 2026. Peter Diamandis | Markets/Stocks | 35% | ||
| 0.68 | Will any frontier model support a 10M+ token context window before 2028?(market prob: 39%) | manifold 2026-05-25 | S_AGI_WINTER_2036PLUS AGI delayed: capability plateau or AI winter | agi_general_capability | 10% | |
| 0.68 | arxiv 2026-05-28 | 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% | ||
| 0.68 | arxiv 2026-05-28 | 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% | ||
| 0.68 | arxiv 2026-05-28 | 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% | ||
| 0.68 | arxiv 2026-05-28 | 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% | ||
| 0.68 | arxiv 2026-05-28 | AUT_010 As models transition from passive advisors to active multi-step task executors across digital networks, potential for catastrophic systemic failure scales exponentially — without rigorous legislative oversight + embedded algorithmic surveillance, auton... Daniella Amodei | AI | 56% |