Validations Queue
79,555 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 120 of 351, 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 | arxiv 2026-06-18 | 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 2026-06-18 | 238_070 Small language models will be where most algorithmic breakthroughs come from (crowdsourced) Alex Wissner-Gross | AI | 42% | ||
| 0.68 | arxiv 2026-06-17 | 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 2026-06-18 | 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| 0.68 | arxiv 2026-06-18 | AI_016 The 'cost of intelligence' collapse has officially superseded traditional Moore's Law dynamics — an AI experience curve enables bulk problem-solving across engineering, medicine, and mathematics at a fraction of historical compute costs. Alex Wissner-Gross | AI | 82% | ||
| 0.68 | arxiv 2026-06-18 | 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% | ||
| 0.68 | arxiv 2026-06-18 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-18 | 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 | Will Revolut have the highest IPO Market Cap 2026?(market prob: 0%) | polymarket 2026-02-02 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.68 | Will Elon Musk post 360-379 tweets from June 19 to June 26, 2026?(market prob: 0%) | polymarket 2026-06-16 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.68 | Will Elon Musk post 340-359 tweets from June 19 to June 26, 2026?(market prob: 0%) | polymarket 2026-06-16 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.68 | Will Elon Musk post 90-114 tweets from June 20 to June 22, 2026?(market prob: 1%) | polymarket 2026-06-18 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.68 | Will Bitcoin reach $80,000 in April?(market prob: 0%) | polymarket 2026-04-02 | 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 | Will Bitcoin reach $150,000 in April?(market prob: 0%) | polymarket 2026-04-02 | 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 | Will Katie Britt win the 2028 Republican presidential nomination?(market prob: 1%) | polymarket 2025-07-10 | 236_011 Independent/third party presidential run possible in 2028 election Andrew Yang | Geopolitics | 46% | |
| 0.68 | Will Elon Musk post 80-99 tweets from April 28 to May 5, 2026?(market prob: 1%) | polymarket 2026-04-25 | 230_009 US GDP growth will hit triple-digit (100%+) within 5 years per Elon Musk. Elon Musk | Macro/Economy | 46% | |
| 0.68 | Will Elon Musk post 360-379 tweets from April 24 to May 1, 2026?(market prob: 0%) | polymarket 2026-04-21 | 235_016 SpaceX IPO anticipated potentially as early as next month (April 2026). Peter Diamandis | Space | 31% | |
| 0.68 | Will xAI have the best AI model at the end of May 2026?(market prob: 0%) | polymarket 2026-04-13 | 242_056 AI models will become manager of entire economy, not just picking off mom/pop businesses Alex Wissner-Gross | Macro/Economy | 25% | |
| 0.68 | Will Kristi Noem win the 2028 Republican presidential nomination?(market prob: 1%) | polymarket 2025-07-10 | 236_011 Independent/third party presidential run possible in 2028 election Andrew Yang | Geopolitics | 46% | |
| 0.68 | Will Amazon have the best AI model at the end of May 2026?(market prob: 0%) | polymarket 2026-04-13 | 248_010 AI capabilities will advance 100x in 2026 (by summer, potentially more). Dave Blundin | AI | 31% | |
| 0.68 | Will Alibaba have the best AI model at the end of May 2026?(market prob: 0%) | polymarket 2026-04-13 | SEM_021 Largest AI models will see a 100x leap in size by 2026, driven largely by Chinese research efforts using quantization breakthroughs. Dave Blundin | AI/China | 45% | |
| 0.68 | Will LeBron James win the 2028 Democratic presidential nomination?(market prob: 1%) | polymarket 2025-07-03 | 236_011 Independent/third party presidential run possible in 2028 election Andrew Yang | Geopolitics | 46% | |
| 0.68 | Will Elon Musk post 260-279 tweets from April 28 to May 5, 2026?(market prob: 0%) | polymarket 2026-04-25 | 235_016 SpaceX IPO anticipated potentially as early as next month (April 2026). Peter Diamandis | Space | 31% | |
| 0.68 | Will J.B. Pritzker win the 2028 Democratic presidential nomination?(market prob: 1%) | polymarket 2025-07-03 | 236_011 Independent/third party presidential run possible in 2028 election Andrew Yang | Geopolitics | 46% | |
| 0.68 | Will Baidu have the best AI model at the end of May 2026?(market prob: 0%) | polymarket 2026-04-13 | 241_027 China will win low-end robotic hardware race Eric Schmidt | Robotics | 49% | |
| 0.68 | Will Baidu have the best AI model at the end of May 2026?(market prob: 0%) | polymarket 2026-04-13 | 242_056 AI models will become manager of entire economy, not just picking off mom/pop businesses Alex Wissner-Gross | Macro/Economy | 25% | |
| 0.68 | Hantavirus pandemic in 2026? [Polymarket](market prob: 4%) | manifold 2026-05-04 | 236_047 New emotional pandemic of fear and anger coming Peter Diamandis | Macro/Economy | 55% | |
| 0.68 | github_release 2025-11-19 | 247_010 Anthropic will beat OpenAI in valuation trajectory Dave Blundin | AI | 40% | ||
| 0.68 | MicroStrategy sells any Bitcoin by May 31, 2026?(market prob: 1%) | polymarket 2026-05-05 | 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 2026-05-05 | 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 2026-05-05 | 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% | ||
| 0.68 | arxiv 2026-05-05 | 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 2026-05-05 | 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% | ||
| 0.68 | arxiv 2026-05-05 | CYB_020 Starlink expansion — navigating regulatory regimes like India's IN-SPACe approvals — establishes a ubiquitous, high-bandwidth data canopy essential for routing planetary-scale AI agent communications without terrestrial fiber-optic latency. Gwynne Shotwell | Space | 65% | ||
| 0.68 | arxiv 2026-05-05 | 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% | ||
| 0.68 | arxiv 2026-05-05 | IND_026 Non-coders and engineers alike must build for 'where the models are going, not where they are today' — 'this is the worst the models will ever be'. Next-generation models will 'eat your scaffolding for breakfast'; manual software configuration, standar... Kevin Weil | Labor/Jobs | 61% | ||
| 0.68 | arxiv 2026-05-05 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.68 | arxiv 2026-05-04 | CYB_002 Despite raw agentic tool-use benchmarks tracking ahead of schedule, the enterprise reality involves significant operational friction — the 'integration schlep' — characterized by legacy software incompatibilities, rigid corporate bureaucracies, and per... Leopold Aschenbrenner | Macro/Economy | 85% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-05-04 | 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 2026-05-04 | 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 2026-05-04 | 238_070 Small language models will be where most algorithmic breakthroughs come from (crowdsourced) Alex Wissner-Gross | AI | 42% | ||
| 0.68 | arxiv 2026-05-06 | 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 2026-05-06 | 238_071 Future AI models may compress all human knowledge into megabytes via post-transformer breakthroughs Alex Wissner-Gross | AI | 35% | ||
| 0.68 | arxiv 2026-05-07 | 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 | FUT_003 Superforecaster consensus assigns 0.38% probability to AI-driven human extinction by 2100 vs domain-expert consensus of 3% — ~8x discrepancy per XPT 2022 adversarial collaboration tournament (89 superforecasters + 80 domain experts). Superforecasters m... Superforecaster Community | AI | 100% | ||
| 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_012 NVIDIA BioNeMo platform + Evo 2 model fundamentally compresses a century of biology into a decade — Evo 2 achieves 90% accuracy in BRCA1 predictions; AI models will seamlessly transition generated biological designs into practical, synthesized clinical... Jensen Huang | Biotech/Longevity | 68% |