Validations Queue
86,658 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 172 of 191, 100 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.
Pending (total)
86,658
Reviewed
13
Filtered
19,096
page 172 / 191
Showing on page
100
Filters
URL params control source + min-similarity threshold
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.
Source0 selected · 0 visible
Bulk action
| Sim | Doc | Source | Pred | Domain | Prior | |
|---|---|---|---|---|---|---|
| 0.65 | Will Elon Musk post 280-299 tweets from June 12 to June 19, 2026?(market prob: 0%) | polymarket 2026-06-09 | 234_015 Anthropic, OpenAI and SpaceX IPOs are likely within the next 6 months Peter Diamandis | Markets/Stocks | 41% | |
| 0.65 | Will Elon Musk post 440-459 tweets from June 19 to June 26, 2026?(market prob: 0%) | polymarket 2026-06-16 | 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 2026-06-16 | 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% | ||
| 0.65 | arxiv 2026-06-16 | 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 2026-06-16 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.65 | arxiv 2026-06-16 | 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% | ||
| 0.65 | arxiv 2026-06-16 | 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 2026-06-16 | 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 2026-06-16 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.65 | arxiv 2026-06-16 | 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 2026-06-15 | AUT_003 'Vibe coding' — the full delegation of syntactic code generation to autonomous models, with human engineers interacting purely through natural-language intent while remaining entirely abstracted from underlying programming architecture; minimalist arch... Andrej Karpathy | AI | 87% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-16 | 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% | ||
| 0.65 | arxiv 2026-06-16 | CYB_026 The initial assumption that the United States can maintain a durable long-term 'moat' based purely on proprietary algorithms and compute concentration has been heavily challenged — rapid uncontrollable diffusion of highly capable open-source models (De... Leopold Aschenbrenner | Geopolitics | 77% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-16 | 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 2026-06-16 | 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 2026-06-16 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-17 | 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 2026-06-17 | TK01 AGI Capability Plateau (2026-27 Training Stall) | — | 15% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-16 | 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 2026-06-16 | 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 2026-06-17 | 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% | ||
| 0.65 | arxiv 2026-06-17 | CMQ_059 Shift to local compute is driven by: (1) absolute data privacy, (2) cost control for high-volume inference, (3) running uncensored/customized LLMs unavailable on major clouds. Alex Finn | AI | 56% | ||
| 0.65 | arxiv 2026-06-17 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-17 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-16 | CYB_019 Deployment of 'world model systems' — AI that accurately simulates and anticipates the physical and thermodynamic dynamics of reality — serves as the critical foundational training ground for embodied agents, letting them experience billions of hours o... Demis Hassabis | Robotics | 44% | ||
| 0.65 | github_release 2026-06-18 | 231_001 Anthropic model family is closest to embodying the singularity and recursive self-improvement today. Alex Wissner-Gross | AI | 41% | ||
| 0.65 | Will Elon Musk post 120-139 tweets from June 16 to June 23, 2026?(market prob: 0%) | polymarket 2026-06-13 | 230_009 US GDP growth will hit triple-digit (100%+) within 5 years per Elon Musk. Elon Musk | Macro/Economy | 46% | |
| 0.65 | Will Elon Musk post 120-139 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% | |
| 0.65 | Will Elon Musk post 115-139 tweets from June 18 to June 20, 2026?(market prob: 0%) | polymarket 2026-06-15 | 230_009 US GDP growth will hit triple-digit (100%+) within 5 years per Elon Musk. Elon Musk | Macro/Economy | 46% | |
| 0.65 | Will SpaceX valuation drop by -50% or more from its ATH?(market prob: 49%) | manifold 2026-06-19 | 246_001 SpaceX will IPO at $2 trillion valuation, raising $75 billion as largest IPO in history. Peter Diamandis | Markets/Stocks | 79% | |
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-18 | 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 2026-06-18 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-17 | 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 2026-06-17 | 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 2026-06-18 | 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% | ||
| 0.65 | arxiv 2026-06-18 | SEM_012 Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering. Jensen Huang | AI/Manufacturing | 75% | ||
| 0.65 | arxiv 2026-06-18 | 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% | ||
| 0.65 | arxiv 2026-06-18 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | Will the price of Bitcoin be above $60,000 on June 21?(market prob: 100%) | polymarket 2026-06-14 | 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 Bitcoin dip to $62,000 on June 21?(market prob: 3%) | polymarket 2026-06-21 | 231_051 Entire generation growing up with crypto (Ethereum, Bitcoin) as means of exchange will have near-zero switching cost. Salim Ismail | Crypto | 48% | |
| 0.65 | Will OpenAI release a Mythos-class model before Fable is reenabled?(market prob: 18%) | manifold 2026-06-21 | 246_050 Anthropic will release compressed/distilled version of Mythos quickly after initial release. Dave Blundin | AI | 50% | |
| 0.65 | Will SHEIN have the highest IPO Market Cap 2026?(market prob: 0%) | polymarket 2026-02-02 | S_IPO_TRILLION_2027 First $1T+ IPO in 2027 | ipo_trillion_plus | 40% | |
| 0.65 | Will Elon Musk post 100-119 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% | |
| 0.65 | Will Bitcoin reach $67,000 on June 22?(market prob: 0%) | polymarket 2026-06-22 | 231_051 Entire generation growing up with crypto (Ethereum, Bitcoin) as means of exchange will have near-zero switching cost. Salim Ismail | Crypto | 48% | |
| 0.65 | Will Elon Musk post 140-164 tweets from June 22 to June 24, 2026?(market prob: 6%) | polymarket 2026-06-20 | 230_009 US GDP growth will hit triple-digit (100%+) within 5 years per Elon Musk. Elon Musk | Macro/Economy | 46% | |
| 0.65 | Will Elon Musk post 180-199 tweets from June 19 to June 26, 2026?(market prob: 0%) | polymarket 2026-06-16 | 246_011 Elon will feel Grok is ready to take over as CEO in next few years. Dave Blundin | AI | 42% | |
| 0.65 | Will Elon Musk post 140-159 tweets from June 19 to June 26, 2026?(market prob: 0%) | polymarket 2026-06-16 | 231_038 TSMC fabs will come online in 5-6-7 years; Elon won't wait that long. Dave Blundin | AI | 44% | |
| 0.65 | Will Elon Musk post 140-159 tweets from June 19 to June 26, 2026?(market prob: 0%) | polymarket 2026-06-16 | 246_023 Grok 5 release ~20% probability for Q2 2026 per PolyMarket. PolyMarket | AI | 43% | |
| 0.65 | Will Bitcoin dip to $57,000 on June 23?(market prob: 0%) | polymarket 2026-06-23 | 231_051 Entire generation growing up with crypto (Ethereum, Bitcoin) as means of exchange will have near-zero switching cost. Salim Ismail | Crypto | 48% | |
| 0.65 | arxiv 2026-06-22 | 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 2026-06-22 | 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 2026-06-22 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-22 | 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 2026-06-22 | 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% | ||
| 0.65 | arxiv 2026-06-22 | 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 2026-06-21 | 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 2026-06-21 | 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 2026-06-21 | 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 2026-06-22 | INF_026 'Software 3.0' LLM infrastructure will operate like public utilities — requiring massive upfront capex (training compute, specialized hardware), specialized networking protocols for synchrony across hundreds of thousands of GPUs, and flawless uninterru... Andrej Karpathy | AI | 70% | ||
| 0.65 | arxiv 2026-06-22 | 248_023 Ternary (sub-bit) parameter precision will be optimal for AI models. Dave Blundin | AI | 50% | ||
| 0.65 | arxiv 2026-06-22 | 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% | ||
| 0.65 | arxiv 2026-06-22 | 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 2026-06-21 | 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 2026-06-22 | 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 2026-06-22 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-21 | 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 2026-06-21 | 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% | ||
| 0.65 | arxiv 2026-06-21 | 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 2026-06-22 | 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 2026-06-22 | 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 2026-06-23 | CMQ_031 AI has crossed a historic tipping point — traditional Moore's Law is obsolete; AI now follows a highly accelerated, domain-specific experience curve. Alex Wissner-Gross | AI/Compute | 42% | ||
| 0.65 | arxiv 2026-06-23 | 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 2026-06-23 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.65 | arxiv 2026-06-23 | 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 2026-06-23 | 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% | ||
| 0.65 | arxiv 2026-06-23 | CYB_019 Deployment of 'world model systems' — AI that accurately simulates and anticipates the physical and thermodynamic dynamics of reality — serves as the critical foundational training ground for embodied agents, letting them experience billions of hours o... Demis Hassabis | Robotics | 44% | ||
| 0.65 | arxiv 2026-06-22 | 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 2026-06-22 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.65 | arxiv 2026-06-23 | 242_059 Self-flying eVTOLs will be the norm given AI safety advantages Dave Blundin | Auto/Transport | 45% | ||
| 0.65 | arxiv 2026-06-22 | SPC_025 Critical misalignment in the AI industry: approximately 300 AI capabilities researchers for every one AGI safety researcher — extreme systemic risk as these autonomous systems are deployed into physical domains like space and embodied robotics. Leopold Aschenbrenner | AI | 64% | ||
| 0.65 | FDA ANDA088639: MEPERIDINE HYDROCHLORIDE (MEPERIDINE HYDROCHLORIDE) — BARR | fda 2026-06-18 | 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 $74,000 on April 30?(market prob: 95%) | polymarket 2026-04-23 | 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 Bitcoin reach $150,000 in April?(market prob: 0%) | polymarket 2026-04-02 | 246_004 SpaceX will come out at $2T and run up very quickly to $3T. Peter Diamandis | Markets/Stocks | 50% | |
| 0.65 | Will Jon Ossoff win the 2028 Democratic presidential nomination?(market prob: 9%) | polymarket 2025-07-03 | 236_012 An independent candidate will get outsized support in 2028 despite attacks Andrew Yang | Geopolitics | 51% |