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 131 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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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 | Will the May 2026 U.S. unemployment rate be at least 4.5%?(market prob: 14%) | manifold 2026-05-18 | AI_021 The 2026-2027 window is the 'Great Disemboweling' of white-collar employment — millions of mid-career professionals (junior software developers, legal analysts, corporate marketers) lose jobs within a 12-18 month timeframe; resulting unemployment casca... Andrew Yang | Labor/Jobs | 46% | |
| 0.68 | manifold 2026-05-19 | INF_047 2026 US GDP growth will land in a robust 4.6%–6.2% range — driven primarily by AI-driven productivity gains and massive physical-infrastructure capex. Chamath Palihapitiya | Macro/Economy | 31% | ||
| 0.68 | Will Apple mention Anthropic or Claude in its WWDC 2026 keynote?(market prob: 31%) | manifold 2026-05-17 | 247_010 Anthropic will beat OpenAI in valuation trajectory Dave Blundin | AI | 40% | |
| 0.68 | arxiv 2026-05-18 | 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 | Bitcoin above 90k before 2027?(market prob: 29%) | manifold 2026-05-30 | 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% | |
| 0.68 | arxiv 2026-05-28 | 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% | ||
| 0.68 | 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 | 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% | ||
| 0.68 | arxiv 2026-05-28 | 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% | ||
| 0.68 | arxiv 2026-05-28 | 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 2026-05-28 | 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 2026-05-28 | CYB_023 Immutable cryptographic verification layers — specifically Bitcoin — must be integrated into AI architectures as decentralized ground-truth anchor: establishing undeniable digital provenance in an ecosystem inevitably flooded with AI-generated data, de... Michael Saylor | Crypto | 26% | ||
| 0.68 | arxiv 2026-05-28 | 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 2026-05-28 | 238_071 Future AI models may compress all human knowledge into megabytes via post-transformer breakthroughs Alex Wissner-Gross | AI | 35% | ||
| 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 | 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% | ||
| 0.68 | arxiv 2026-05-28 | 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 | Will Elon Musk post 500+ tweets from June 2 to June 9, 2026?(market prob: 0%) | polymarket 2026-05-30 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.68 | Will Elon Musk post 440-459 tweets from June 2 to June 9, 2026?(market prob: 0%) | polymarket 2026-05-30 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.68 | Will some Millennium Prize Problem be solved before 2028?(market prob: 49%) | manifold 2026-06-01 | AUT_012 True AGI arrives 2030-2035 (5-10 years from 2026) based on advanced 'world model systems' — current LLM architecture insufficient for generalized autonomy due to lack of temporal consistency and deep reasoning; world models inherently understand/simula... Demis Hassabis | AI | 38% | |
| 0.68 | Will DeepSeek have the best AI model at the end of June 2026?(market prob: 0%) | polymarket 2025-10-10 | CYB_028 The 2024-2026 AI arms race directly parallels the hyper-speculative early-1990s dot-com bubble and subsequent search-engine wars — while underlying technology is transformative, the vast majority of highly-valued competitors and heavily-funded startups... Mark Cuban | Markets/Stocks | 48% | |
| 0.68 | Will Amazon have the best AI model at the end of June 2026?(market prob: 0%) | polymarket 2025-10-10 | 248_016 ASI is imminent; access to top AI models will be closed down in a couple of years. Dave Blundin | AI | 49% | |
| 0.68 | Will Amazon have the best AI model at the end of June 2026?(market prob: 0%) | polymarket 2025-10-10 | CYB_028 The 2024-2026 AI arms race directly parallels the hyper-speculative early-1990s dot-com bubble and subsequent search-engine wars — while underlying technology is transformative, the vast majority of highly-valued competitors and heavily-funded startups... Mark Cuban | Markets/Stocks | 48% | |
| 0.68 | arxiv 2026-06-01 | 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% | ||
| 0.68 | arxiv 2026-06-01 | 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 2026-06-01 | 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 2026-06-01 | 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 2026-06-01 | 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 2026-06-01 | 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 2026-06-01 | 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 2026-06-01 | 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 2026-05-31 | 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 2026-06-01 | 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 2026-06-01 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.68 | arxiv 2026-06-01 | 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% | ||
| 0.68 | arxiv 2026-06-01 | 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 440-459 tweets from June 5 to June 12, 2026?(market prob: 0%) | polymarket 2026-06-02 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.68 | FDA ANDA220143: ANDA220143 ((unspecified)) — HETERO LABS LIMITED | fda 2026-05-22 | COD_BIO_001 FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026 Codex Research Pack | Biotech/Longevity | 47% | |
| 0.68 | Will Bitcoin dip to $57,000 on June 4?(market prob: 1%) | polymarket 2026-06-04 | 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 | Will Elon Musk post 340-359 tweets from June 2 to June 9, 2026?(market prob: 0%) | polymarket 2026-05-30 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.68 | Will Elon Musk post 360-379 tweets from June 2 to June 9, 2026?(market prob: 0%) | polymarket 2026-05-30 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.68 | arxiv 2026-06-04 | 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 2026-06-04 | SPC_015 AI will continuously analyze orbital trajectories of active satellites and space debris to predict collisions with superhuman accuracy — upon identifying collision risks, AI systems will autonomously command satellite Hall-effect thrusters to adjust or... Andrej Karpathy | Space | 72% | ||
| 0.68 | arxiv 2026-06-04 | 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 2026-06-04 | 233_021 AI learning will improve via closed-loop reinforcement learning cycle making results keep increasing. Joe Liemandt | AI | 39% | ||
| 0.68 | arxiv 2026-06-04 | 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 2026-06-04 | 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% | ||
| 0.68 | arxiv 2026-06-04 | 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% | ||
| 0.68 | arxiv 2026-06-03 | 233_021 AI learning will improve via closed-loop reinforcement learning cycle making results keep increasing. Joe Liemandt | AI | 39% | ||
| 0.68 | arxiv 2026-06-04 | 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% |