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| Sim | Doc | Source | Pred | Domain | Prior | |
|---|---|---|---|---|---|---|
| 0.64 | Will Bitcoin dip to $58,000 on June 4?(market prob: 2%) | polymarket 2026-06-04 | 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% | |
| 0.64 | Will S&P 500 (SPY) hit (LOW) $725 Week of June 1 2026?(market prob: 1%) | polymarket 2026-05-29 | SEM_025 Morgan Stanley price target $250 for Nvidia — representing 32% upside from current levels. Joseph Moore | Capital Markets | 55% | |
| 0.64 | Will Ethereum reach $2,500 in June?(market prob: 1%) | polymarket 2026-06-01 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.64 | Silver price above 90.000 in June 2026(market prob: 36%) | manifold 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% | |
| 0.64 | Will May 2026 US nonfarm payrolls increase by at least 150,000?(market prob: 22%) | manifold 2026-06-02 | 242_033 Companies will race to 80% token spend / 20% salary; good by 2030-2032 Dave Blundin | Labor/Jobs | 49% | |
| 0.64 | Will the price of Bitcoin be above $60,000 on June 6?(market prob: 89%) | polymarket 2026-06-04 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.64 | Will the price of Bitcoin be above $78,000 on June 6?(market prob: 0%) | polymarket 2026-05-30 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.64 | Will Bitcoin reach $64,000 on June 5?(market prob: 7%) | polymarket 2026-06-05 | 246_004 SpaceX will come out at $2T and run up very quickly to $3T. Peter Diamandis | Markets/Stocks | 50% | |
| 0.64 | Will the s&p500 close at 7,000.00 or less before 2028?(market prob: 57%) | manifold 2026-06-05 | 242_035 S&P will see massive reshuffling with huge winners; no company can project FCF beyond 5 years Dave Blundin | Markets/Stocks | 50% | |
| 0.64 | arxiv 2026-06-04 | INF_072 There is approximately a 50/50 chance that simply scaling existing methodologies (transformer architecture + more data + more compute) will be enough to reach AGI — though "nowhere near" human-level AGI currently. Demis Hassabis | AI | 40% | ||
| 0.64 | 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% | ||
| 0.64 | arxiv 2026-06-04 | SEM_049 AI will soon fully automate software engineering, achieving massive cost reductions via iterative self-improvement. Alex Wissner-Gross | AI/Software | 56% | ||
| 0.64 | arxiv 2026-06-04 | CMQ_010 True AGI requires genuine scientific-discovery capabilities (AlphaFold-class breakthroughs) — brute-force LLM scaling alone is insufficient. Demis Hassabis | AI | 49% | ||
| 0.64 | arxiv 2026-06-04 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.64 | arxiv 2026-06-04 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | arxiv 2026-06-04 | 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% | ||
| 0.64 | arxiv 2026-06-03 | 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% | ||
| 0.64 | arxiv 2026-06-03 | INF_027 AI infrastructure applied to structural biology will compress drug-development timelines from approximately a decade to weeks — potentially eradicating many major diseases within 10 years. Requires localized high-speed InfiniBand networking inside the DC. Demis Hassabis | Biotech/Longevity | 38% | ||
| 0.64 | arxiv 2026-06-04 | 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% | ||
| 0.64 | arxiv 2026-06-04 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | arxiv 2026-06-04 | CYB_005 'Memory becomes the moat' — by 2026, the global discourse around 'AI safety' will effectively transition into highly politicized debates over 'memory policy'. Whichever entity controls the contextual history and relational memory of human-AI interactio... Ray Kurzweil | AI | 30% | ||
| 0.64 | arxiv 2026-06-03 | CMQ_006 Expert-level AI applied to biology/medicine will yield cures for cancer and Alzheimer's within 5-10 years, compressing a century of progress into a decade. Dario Amodei | Biotech/Longevity | 36% | ||
| 0.64 | arxiv 2026-06-03 | 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% | ||
| 0.64 | arxiv 2026-06-03 | 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% | ||
| 0.64 | arxiv 2026-06-03 | INF_072 There is approximately a 50/50 chance that simply scaling existing methodologies (transformer architecture + more data + more compute) will be enough to reach AGI — though "nowhere near" human-level AGI currently. Demis Hassabis | AI | 40% | ||
| 0.64 | arxiv 2026-06-03 | 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% | ||
| 0.64 | arxiv 2026-06-03 | 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% | ||
| 0.64 | arxiv 2026-06-03 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | arxiv 2026-06-03 | 243_008 Streets will be safer as autonomous cars don't get distracted or tired Dara Khosrowshahi | Auto/Transport | 44% | ||
| 0.64 | arxiv 2026-06-03 | 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% | ||
| 0.64 | arxiv 2026-06-03 | 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% | ||
| 0.64 | Will the price of Bitcoin be above $70,000 on June 7?(market prob: 0%) | polymarket 2026-05-31 | 246_004 SpaceX will come out at $2T and run up very quickly to $3T. Peter Diamandis | Markets/Stocks | 50% | |
| 0.64 | Will XRP reach $3.00 in June?(market prob: 1%) | polymarket 2026-06-01 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.64 | Will the price of Bitcoin be above $72,000 on June 7?(market prob: 0%) | polymarket 2026-05-31 | 246_004 SpaceX will come out at $2T and run up very quickly to $3T. Peter Diamandis | Markets/Stocks | 50% | |
| 0.64 | Will the price of Bitcoin be above $58,000 on June 7?(market prob: 95%) | polymarket 2026-06-04 | 246_004 SpaceX will come out at $2T and run up very quickly to $3T. Peter Diamandis | Markets/Stocks | 50% | |
| 0.64 | Will Ethereum dip to $1,500 June 1-7?(market prob: 2%) | polymarket 2026-06-01 | S_IPO_TRILLION_2028 First $1T+ IPO in 2028 | ipo_trillion_plus | 25% | |
| 0.64 | can you just balenciaga it? Before 2028(market prob: 46%) | manifold 2026-06-07 | 248_010 AI capabilities will advance 100x in 2026 (by summer, potentially more). Dave Blundin | AI | 31% | |
| 0.64 | Will May 2026 U.S. personal income rise at least 0.4% month-over-month?(market prob: 31%) | manifold 2026-06-05 | 235_002 Anthropic will exceed OpenAI in revenue this year (2026). Dave Blundin | AI | 75% | |
| 0.64 | Will Bitcoin dip to $60,000 on June 7?(market prob: 2%) | polymarket 2026-06-07 | 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% | |
| 0.64 | arxiv 2026-06-05 | 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% | ||
| 0.64 | arxiv 2026-06-05 | CYB_027 Bostrom's orthogonality thesis — an AI system can possess supreme unfathomable intelligence while simultaneously harboring final goals completely indifferent or actively hostile to human survival; intelligence and human morality are completely independ... Nick Bostrom | AI | 50% | ||
| 0.64 | arxiv 2026-06-05 | 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% | ||
| 0.64 | arxiv 2026-06-05 | 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% | ||
| 0.64 | arxiv 2026-06-05 | 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% | ||
| 0.64 | arxiv 2026-06-05 | 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% | ||
| 0.64 | arxiv 2026-06-05 | 248_023 Ternary (sub-bit) parameter precision will be optimal for AI models. Dave Blundin | AI | 50% | ||
| 0.64 | arxiv 2026-06-05 | 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% | ||
| 0.64 | arxiv 2026-06-05 | 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% | ||
| 0.64 | arxiv 2026-06-05 | 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% | ||
| 0.64 | arxiv 2026-06-05 | 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% | ||
| 0.64 | arxiv 2026-06-05 | 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% | ||
| 0.64 | manifold 2026-06-08 | 241_011 By end of 2026, no one will write code manually - it'll be a quaint skill Peter Diamandis | Labor/Jobs | 47% | ||
| 0.64 | FDA ANDA220709: DEFLAZACORT (DEFLAZACORT) — CARNEGIE | fda 2026-05-28 | COD_BIO_001 FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026 Codex Research Pack | Biotech/Longevity | 47% | |
| 0.64 | manifold 2026-06-06 | 242_049 W-2 income will get pummeled over next 3 years; assets will appreciate Dave Blundin | Macro/Economy | 50% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 233_021 AI learning will improve via closed-loop reinforcement learning cycle making results keep increasing. Joe Liemandt | AI | 39% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-07 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.64 | arxiv 2026-06-08 | 238_070 Small language models will be where most algorithmic breakthroughs come from (crowdsourced) Alex Wissner-Gross | AI | 42% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-07 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-07 | 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% | ||
| 0.64 | arxiv 2026-06-07 | 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% | ||
| 0.64 | arxiv 2026-06-07 | 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% | ||
| 0.64 | Will Bitcoin dip to $57,000 on June 10?(market prob: 1%) | polymarket 2026-06-10 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.64 | arxiv 2026-06-09 | 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% | ||
| 0.64 | arxiv 2026-06-09 | 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% | ||
| 0.64 | arxiv 2026-06-09 | 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% | ||
| 0.64 | arxiv 2026-06-09 | 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% | ||
| 0.64 | arxiv 2026-06-09 | 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% | ||
| 0.64 | arxiv 2026-06-09 | 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% | ||
| 0.64 | arxiv 2026-06-09 | IND_005 Convergence of computational biology + AI-driven data modeling + CRISPR gene editing enables bringing back extinct species — Form Bio platform (spun out 2022) enables successful resurrection of woolly mammoth and Tasmanian tiger within the decade (by ~... Ben Lamm | Biotech/Longevity | 33% | ||
| 0.64 | arxiv 2026-06-09 | 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% | ||
| 0.64 | arxiv 2026-06-09 | SEM_033 AI is gaining the capability to autonomously conduct original physics research (e.g., GPT-5.2 Pro proved new gluon scattering formulas). Alex Wissner-Gross | AI/Physics | 56% | ||
| 0.64 | arxiv 2026-06-09 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | FUT_020 Profound structural collision: exponential AI cognitive bandwidth (Webb LAMs FUT_004) colliding with Zeihan demographic atrophy (FUT_007) forces corporations + sovereign states to delegate supply chain logistics, financial forecasting, infrastructure m... Multi-Forecaster Synthesis | Labor/Jobs | 45% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-09 | 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% | ||
| 0.64 | arxiv 2026-06-09 | 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% | ||
| 0.64 | arxiv 2026-06-09 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-08 | 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% | ||
| 0.64 | arxiv 2026-06-09 | 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% | ||
| 0.64 | arxiv 2026-06-09 | 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% | ||
| 0.64 | arxiv 2026-06-09 | 232_007 TikTok wins as AI enables personalized, movie-quality content in many languages, taking over from movie industry. Dave Blundin | Media/Ads | 45% | ||
| 0.64 | arxiv 2026-06-09 | 234_048 Next major revolutions in foundation models will come from small language models Alex Wissner-Gross | AI | 41% | ||
| 0.64 | github_release 2026-06-10 | 235_008 Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months. Alex Wissner-Gross | AI | 42% | ||
| 0.64 | github_release 2022-08-22 | 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% | ||
| 0.64 | arxiv 2026-06-10 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.64 | arxiv 2026-06-10 | 238_070 Small language models will be where most algorithmic breakthroughs come from (crowdsourced) Alex Wissner-Gross | AI | 42% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-10 | 242_043 AI models will distill down to a few million parameters as end-state Alex Wissner-Gross | AI | 35% | ||
| 0.64 | arxiv 2026-06-10 | SPC_030 Eureka Labs vision: 'teacher + AI symbiosis' that scales human expertise infinitely — generating hyper-capable problem-solvers aligned with the space-colonization-workforce demand of the 2030s. Andrej Karpathy | Education | 55% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-09 | CYB_024 The combination of generative AI and advanced synthetic biology is actively creating a 'ChatGPT moment' for genetic engineering — historical barriers to designing advanced, highly lethal pathogens drop precipitously; necessitating new national-security... Eric Schmidt | Defense | 17% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-10 | ROB_025 Genomic prediction will be entirely revolutionized by high-throughput phenotyping — utilizing swarms of drones and physical robots to collect orders of magnitude more trait information than historically possible by human scientists; Bayesian optimizati... Peter Dannenberg | Biotech/Longevity | 70% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-09 | 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% | ||
| 0.64 | arxiv 2026-06-10 | S_ROBOTAXI_MASS_2030 Robotaxi >10% urban miles by Nov 2030 | robotaxi_deployment | 30% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-09 | ROB_025 Genomic prediction will be entirely revolutionized by high-throughput phenotyping — utilizing swarms of drones and physical robots to collect orders of magnitude more trait information than historically possible by human scientists; Bayesian optimizati... Peter Dannenberg | Biotech/Longevity | 70% | ||
| 0.64 | Games Total: O/U 2.5(market prob: 100%) | polymarket 2026-06-11 | FUT_024 XPT 2022 tournament assigned mere 2.3% probability to AI achieving gold-medal performance in International Mathematical Olympiad by 2025 — actual achievement empirically reached forcing systemic re-evaluation within forecasting community. Historical tr... Superforecaster Community | AI | 100% | |
| 0.64 | arxiv 2026-06-11 | INF_072 There is approximately a 50/50 chance that simply scaling existing methodologies (transformer architecture + more data + more compute) will be enough to reach AGI — though "nowhere near" human-level AGI currently. Demis Hassabis | AI | 40% | ||
| 0.64 | arxiv 2026-06-11 | 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% | ||
| 0.64 | arxiv 2026-06-11 | INF_058 The electrical grid topology will transition from centralized to highly decentralized: localized solar + residential/commercial battery storage will shift power management toward microgrids where local DNOs optimize autonomously, turning millions of ho... Andrew Yang | Energy | 52% | ||
| 0.64 | arxiv 2026-06-11 | 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% | ||
| 0.64 | arxiv 2026-06-11 | 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% | ||
| 0.64 | arxiv 2026-06-11 | 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% | ||
| 0.64 | arxiv 2026-06-11 | 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% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-11 | 230_040 AI capability/accuracy will improve recursively; output-checking issues will be eliminated quickly. Peter Diamandis | AI | 50% | ||
| 0.64 | arxiv 2026-06-11 | 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% | ||
| 0.64 | arxiv 2026-06-11 | CYB_027 Bostrom's orthogonality thesis — an AI system can possess supreme unfathomable intelligence while simultaneously harboring final goals completely indifferent or actively hostile to human survival; intelligence and human morality are completely independ... Nick Bostrom | AI | 50% | ||
| 0.64 | arxiv 2026-06-11 | 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% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-11 | 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% | ||
| 0.64 | arxiv 2026-06-11 | 238_070 Small language models will be where most algorithmic breakthroughs come from (crowdsourced) Alex Wissner-Gross | AI | 42% | ||
| 0.64 | arxiv 2026-06-11 | CMQ_010 True AGI requires genuine scientific-discovery capabilities (AlphaFold-class breakthroughs) — brute-force LLM scaling alone is insufficient. Demis Hassabis | AI | 49% | ||
| 0.64 | arxiv 2026-06-10 | 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% | ||
| 0.64 | arxiv 2026-06-09 | 242_043 AI models will distill down to a few million parameters as end-state Alex Wissner-Gross | AI | 35% | ||
| 0.64 | arxiv 2026-06-11 | 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% | ||
| 0.64 | manifold 2026-06-13 | 247_010 Anthropic will beat OpenAI in valuation trajectory Dave Blundin | AI | 40% | ||
| 0.64 | Will Bitcoin dip to $63,000 on June 14?(market prob: 8%) | polymarket 2026-06-14 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.64 | manifold 2026-06-14 | COD_SPC_004 Europa Clipper completes Earth gravity assist in December 2026 Codex Research Pack | Space | 48% | ||
| 0.64 | Bitcoin Up or Down on June 16?(market prob: 21%) | polymarket 2026-06-14 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.64 | Will XRP reach $2.80 in June?(market prob: 1%) | polymarket 2026-06-01 | 247_001 xAI will IPO at $2 trillion valuation this coming summer Peter Diamandis | AI | 42% | |
| 0.64 | Will the CFTC clear Polymarket for US traders by end of 2027?(market prob: 31%) | manifold 2026-06-15 | 246_023 Grok 5 release ~20% probability for Q2 2026 per PolyMarket. PolyMarket | AI | 43% | |
| 0.64 | github_release 2020-11-11 | CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz | AI | 77% | ||
| 0.64 | Will the price of Bitcoin be above $58,000 on June 17?(market prob: 100%) | polymarket 2026-06-10 | 246_004 SpaceX will come out at $2T and run up very quickly to $3T. Peter Diamandis | Markets/Stocks | 50% | |
| 0.64 | Will the price of Bitcoin be above $70,000 on June 17?(market prob: 0%) | polymarket 2026-06-10 | 246_004 SpaceX will come out at $2T and run up very quickly to $3T. Peter Diamandis | Markets/Stocks | 50% | |
| 0.64 | arxiv 2026-06-15 | INF_060 Three new battery chemistries beyond lithium-ion will commercialize in 2026 — signaling a definitive paradigm shift away from lithium as the sole foundational element of global energy storage. Elon Musk | Energy | 42% | ||
| 0.64 | arxiv 2026-06-15 | 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% | ||
| 0.64 | arxiv 2026-06-15 | 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% | ||
| 0.64 | arxiv 2026-06-15 | 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% | ||
| 0.64 | arxiv 2026-06-15 | 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% | ||
| 0.64 | arxiv 2026-06-15 | 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% | ||
| 0.64 | arxiv 2026-06-14 | 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% | ||
| 0.64 | arxiv 2026-06-15 | 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% | ||
| 0.64 | arxiv 2026-06-15 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.64 | arxiv 2026-06-15 | 242_043 AI models will distill down to a few million parameters as end-state Alex Wissner-Gross | AI | 35% | ||
| 0.64 | arxiv 2026-06-15 | FUT_020 Profound structural collision: exponential AI cognitive bandwidth (Webb LAMs FUT_004) colliding with Zeihan demographic atrophy (FUT_007) forces corporations + sovereign states to delegate supply chain logistics, financial forecasting, infrastructure m... Multi-Forecaster Synthesis | Labor/Jobs | 45% | ||
| 0.64 | arxiv 2026-06-15 | 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% | ||
| 0.64 | arxiv 2026-06-15 | 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% | ||
| 0.64 | arxiv 2026-06-15 | 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% | ||
| 0.64 | arxiv 2026-06-15 | 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% | ||
| 0.64 | arxiv 2026-06-15 | 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% | ||
| 0.64 | arxiv 2026-06-15 | FUT_004 Rapid ascension and enterprise dominance of Large Action Models (LAMs) by 2026-2031 — LLM as primary digital interface becomes obsolete; LAMs observe complex behavioral patterns, internalize multi-step business processes, predict physical-robot mainten... Amy Webb | AI | 62% | ||
| 0.64 | arxiv 2026-06-15 | 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% | ||
| 0.64 | arxiv 2026-06-15 | 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% | ||
| 0.64 | arxiv 2026-06-15 | 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% | ||
| 0.64 | arxiv 2026-06-14 | 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% | ||
| 0.64 | Will Bitcoin dip to $60,000 June 15-21?(market prob: 2%) | polymarket 2026-06-15 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.64 | o1 FDV above $100M one day after launch?(market prob: 99%) | polymarket 2026-03-10 | S_IPO_TRILLION_2027 First $1T+ IPO in 2027 | ipo_trillion_plus | 40% | |
| 0.64 | arxiv 2026-06-16 | CYB_012 'Recommendation poisoning' — deliberate corruption of the data lakes, training sets, and persistent memory banks that agents rely on for purchase/action decisions — emerges as the primary new cybersecurity-marketing vector, blurring the line between di... Alex Finn | AI | 44% | ||
| 0.64 | 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% | ||
| 0.64 | arxiv 2026-06-16 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | arxiv 2026-06-16 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% |