Validations Queue
92,897 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 226 of 410, 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 | |
|---|---|---|---|---|---|---|
| 0.67 | arxiv 2026-06-17 | 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% | ||
| 0.67 | arxiv 2026-06-16 | AI_029 Blockchain provenance protocols will be increasingly applied to enterprise workflows to detect deepfakes and verify the authenticity of AI model outputs — positioning cryptographic content-authentication as a mandatory enterprise trust layer. Morgan Stanley | AI | 57% | ||
| 0.67 | arxiv 2026-06-17 | 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% | ||
| 0.67 | arxiv 2026-06-17 | 248_023 Ternary (sub-bit) parameter precision will be optimal for AI models. Dave Blundin | AI | 50% | ||
| 0.67 | arxiv 2026-06-17 | 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% | ||
| 0.67 | arxiv 2026-06-16 | AI_029 Blockchain provenance protocols will be increasingly applied to enterprise workflows to detect deepfakes and verify the authenticity of AI model outputs — positioning cryptographic content-authentication as a mandatory enterprise trust layer. Morgan Stanley | AI | 57% | ||
| 0.67 | arxiv 2026-06-16 | 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% | ||
| 0.67 | arxiv 2026-06-17 | 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% | ||
| 0.67 | Will Elon Musk post <40 tweets from June 18 to June 20, 2026?(market prob: 0%) | polymarket 2026-06-15 | S_MARS_2026 Mars uncrewed: 2026 transfer window | mars_uncrewed_landing | 25% | |
| 0.67 | arxiv 2026-06-18 | CYB_003 Localized, ungoverned multi-agent networks will spontaneously generate their own social networks, governance manifestos, debated ethics, and closed-loop digital economies — exemplified by the Moltbook platform in early 2026 where 150,000+ autonomous AI... Alex Finn | AI | 55% | ||
| 0.67 | arxiv 2026-06-18 | ROB_026 Autonomous AI agents will execute multi-stage cyberattacks at machine speeds far surpassing the defensive capabilities of human security teams — bad actors will utilize the same multi-agent paradigms that enable legitimate corporate organizations, targ... Alex Finn | Defense | 77% | ||
| 0.67 | arxiv 2026-06-18 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.67 | arxiv 2026-06-18 | IND_014 Generative AI has rendered static one-size-fits-all learning structurally obsolete — 'every textbook is obsolete' as AI tutors construct personalized lessons mapped perfectly to student mastery level; total disintermediation of the human academic teach... Joe Liemandt | Education | 48% | ||
| 0.67 | arxiv 2026-06-18 | 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% | ||
| 0.67 | arxiv 2026-06-18 | 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% | ||
| 0.67 | arxiv 2026-06-18 | 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% | ||
| 0.67 | arxiv 2026-06-17 | 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% | ||
| 0.67 | arxiv 2026-06-17 | SEM_049 AI will soon fully automate software engineering, achieving massive cost reductions via iterative self-improvement. Alex Wissner-Gross | AI/Software | 56% | ||
| 0.67 | arxiv 2026-06-17 | 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% | ||
| 0.67 | arxiv 2026-06-17 | 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% | ||
| 0.67 | arxiv 2026-06-18 | 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% | ||
| 0.67 | arxiv 2026-06-18 | AUT_014 Most profound impacts of autonomous AI originate NOT from closed proprietary models within multi-billion-dollar corporate data centers, but from globally distributed open-source models — open-weight parity with frontier systems enables any individual o... Emad Mostaque | AI | 53% | ||
| 0.67 | arxiv 2026-06-17 | 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% | ||
| 0.67 | arxiv 2026-06-17 | 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% | ||
| 0.67 | arxiv 2026-06-18 | 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% | ||
| 0.67 | arxiv 2026-06-17 | 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% | ||
| 0.67 | arxiv 2026-06-17 | 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% | ||
| 0.67 | Will Elon Musk post 260-279 tweets from June 16 to June 23, 2026?(market prob: 0%) | polymarket 2026-06-13 | SPC_008 SpaceX milestone-delivery statistics: 16% on-time, 31% late, 53% undelivered overall — planetary milestones exhibit 0% on-time record (every dated Mars prediction since 2011 missed). Industry heuristic: multiply rocket/capsule engineering announced tim... New Market Pitch | Space | 70% | |
| 0.67 | Will the price of Bitcoin be above $66,000 on June 21?(market prob: 2%) | polymarket 2026-06-14 | 231_051 Entire generation growing up with crypto (Ethereum, Bitcoin) as means of exchange will have near-zero switching cost. Salim Ismail | Crypto | 48% | |
| 0.67 | Will the price of Bitcoin be above $62,000 on June 21?(market prob: 98%) | polymarket 2026-06-14 | 231_051 Entire generation growing up with crypto (Ethereum, Bitcoin) as means of exchange will have near-zero switching cost. Salim Ismail | Crypto | 48% | |
| 0.67 | Will Elon Musk post 300-319 tweets from June 16 to June 23, 2026?(market prob: 0%) | polymarket 2026-06-13 | S_MARS_2026 Mars uncrewed: 2026 transfer window | mars_uncrewed_landing | 25% | |
| 0.67 | Will Elon Musk post 420-439 tweets from June 23 to June 30, 2026?(market prob: 0%) | polymarket 2026-06-20 | SPC_008 SpaceX milestone-delivery statistics: 16% on-time, 31% late, 53% undelivered overall — planetary milestones exhibit 0% on-time record (every dated Mars prediction since 2011 missed). Industry heuristic: multiply rocket/capsule engineering announced tim... New Market Pitch | Space | 70% | |
| 0.67 | Will Elon Musk post 60-79 tweets from June 19 to June 26, 2026?(market prob: 0%) | polymarket 2026-06-16 | S_MARS_2026 Mars uncrewed: 2026 transfer window | mars_uncrewed_landing | 25% | |
| 0.67 | manifold 2026-06-21 | 234_018 GPT-5.3 and 5.5 or higher variants could launch in next 10 weeks Alex Wissner-Gross | AI | 38% | ||
| 0.67 | Will Ethereum reach $2,600 in June?(market prob: 0%) | polymarket 2026-06-01 | 231_051 Entire generation growing up with crypto (Ethereum, Bitcoin) as means of exchange will have near-zero switching cost. Salim Ismail | Crypto | 48% | |
| 0.67 | Will Elon Musk post 220-239 tweets from June 19 to June 26, 2026?(market prob: 5%) | polymarket 2026-06-16 | S_MARS_2026 Mars uncrewed: 2026 transfer window | mars_uncrewed_landing | 25% | |
| 0.67 | Will the price of Bitcoin be above $70,000 on June 24?(market prob: 0%) | polymarket 2026-06-17 | 231_051 Entire generation growing up with crypto (Ethereum, Bitcoin) as means of exchange will have near-zero switching cost. Salim Ismail | Crypto | 48% | |
| 0.67 | arxiv 2026-06-22 | 240_013 Sam Altman predicts another architecture breakthrough as big as transformers over LSTMs Sam Altman | AI | 41% | ||
| 0.67 | arxiv 2026-06-22 | 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% | ||
| 0.67 | arxiv 2026-06-22 | 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% | ||
| 0.67 | arxiv 2026-06-22 | 247_053 AI's largest risk to Bitcoin is irrelevance via AI agents not using it Alex Wissner-Gross | Crypto | 38% | ||
| 0.67 | arxiv 2026-06-22 | 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% | ||
| 0.67 | arxiv 2026-06-22 | 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% | ||
| 0.67 | arxiv 2026-06-22 | 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% | ||
| 0.67 | arxiv 2026-06-21 | CYB_013 The most resilient corporate moats in agentic commerce will NOT be built on software logic but on proprietary 'data flywheels' — platforms aggregating unbiased real-time consumer-intent data via continuous streams from millions of interacting autonomou... Dave Blundin | Markets/Stocks | 52% | ||
| 0.67 | arxiv 2026-06-22 | 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% | ||
| 0.67 | arxiv 2026-06-21 | 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% | ||
| 0.67 | arxiv 2026-06-22 | 238_070 Small language models will be where most algorithmic breakthroughs come from (crowdsourced) Alex Wissner-Gross | AI | 42% | ||
| 0.67 | arxiv 2026-06-22 | 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% | ||
| 0.67 | arxiv 2026-06-23 | 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% |