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| Sim | Doc | Source | Pred | Domain | Prior | |
|---|---|---|---|---|---|---|
| 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 | Will Bitcoin dip to $62,000 on June 19?(market prob: 5%) | polymarket 2026-06-19 | 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 Bitcoin dip to $61,000 on June 19?(market prob: 1%) | polymarket 2026-06-19 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.64 | Will Bitcoin dip to $60,000 on June 19?(market prob: 1%) | polymarket 2026-06-19 | 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 USA reach the Round of 16 at the 2026 FIFA World Cup?(market prob: 68%) | polymarket 2026-06-02 | S_MARS_2026 Mars uncrewed: 2026 transfer window | mars_uncrewed_landing | 25% | |
| 0.64 | arxiv 2026-06-18 | 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 2026-06-18 | 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 2026-06-18 | 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 2026-06-18 | 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% | ||
| 0.64 | arxiv 2026-06-18 | 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 2026-06-18 | 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 2026-06-18 | CMQ_042 As AI evolves from Generative to Agentic, structural computing bottlenecks shift away from GPU and heavily toward CPU and system memory. Morgan Stanley | AI/Compute | 35% | ||
| 0.64 | 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% | ||
| 0.64 | arxiv 2026-06-18 | 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 2026-06-18 | 238_037 Network effects, economics, and game theory will persist in AI agent economy (no singleton takeover) Alex Wissner-Gross | AI | 42% | ||
| 0.64 | arxiv 2026-06-17 | 246_018 Killer app of compact fusion reactors will be interplanetary/interstellar propulsion, not data centers. Alex Wissner-Gross | Energy | 36% | ||
| 0.64 | arxiv 2026-06-18 | IND_003 Latency of medical truth actively collapsing — genomic sequencing for newborns in neonatal intensive care units (NICUs) reduced to a 4-hour window, effectively moving diagnostics from 'wait and see' paradigm to real-time intervention; convergence of ph... Alex Wissner-Gross | Biotech/Longevity | 46% | ||
| 0.64 | arxiv 2026-06-18 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.64 | arxiv 2026-06-17 | 238_070 Small language models will be where most algorithmic breakthroughs come from (crowdsourced) Alex Wissner-Gross | AI | 42% | ||
| 0.64 | 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% | ||
| 0.64 | arxiv 2026-06-17 | 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 2026-06-17 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.64 | arxiv 2026-06-17 | 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 2026-06-18 | IND_014 Generative AI has rendered static one-size-fits-all learning structurally obsolete — 'every textbook is obsolete' as AI tutors construct personalized lessons mapped perfectly to student mastery level; total disintermediation of the human academic teach... Joe Liemandt | Education | 48% | ||
| 0.64 | arxiv 2026-06-17 | 238_070 Small language models will be where most algorithmic breakthroughs come from (crowdsourced) Alex Wissner-Gross | AI | 42% | ||
| 0.64 | arxiv 2026-06-18 | 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 2026-06-18 | 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% | ||
| 0.64 | arxiv 2026-06-18 | 243_011 Autonomous driver will be much safer than a human being Dara Khosrowshahi | Auto/Transport | 44% | ||
| 0.64 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | FDA NDA021130: ZYVOX (LINEZOLID) — PFIZER | fda 2026-06-09 | COD_BIO_001 FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026 Codex Research Pack | Biotech/Longevity | 47% | |
| 0.64 | Will the price of Bitcoin be above $70,000 on June 22?(market prob: 0%) | polymarket 2026-06-15 | 246_004 SpaceX will come out at $2T and run up very quickly to $3T. Peter Diamandis | Markets/Stocks | 50% | |
| 0.64 | Will Gold (GC) hit (HIGH) $8,500 by end of June?(market prob: 0%) | polymarket 2026-01-26 | SEM_025 Morgan Stanley price target $250 for Nvidia — representing 32% upside from current levels. Joseph Moore | Capital Markets | 55% | |
| 0.64 | Will Gold (GC) hit (HIGH) $9,000 by end of June?(market prob: 0%) | polymarket 2026-01-29 | SEM_025 Morgan Stanley price target $250 for Nvidia — representing 32% upside from current levels. Joseph Moore | Capital Markets | 55% | |
| 0.64 | 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% | ||
| 0.64 | arxiv 2026-06-22 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.64 | arxiv 2026-06-22 | 240_013 Sam Altman predicts another architecture breakthrough as big as transformers over LSTMs Sam Altman | AI | 41% | ||
| 0.64 | 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% | ||
| 0.64 | arxiv 2026-06-22 | INF_035 Advanced U.S. manufacturing capacity for 3D-printed liquid-cooling plates will scale rapidly — Fabric8Labs secured $50M (NEA + Intel Capital) specifically to address the AI-DC thermal bottleneck with electrochemically-deposited intricate cold-plate geo... Fabric8Labs (NEA / Intel Capital funded) | Semis | 65% | ||
| 0.64 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | arxiv 2026-06-22 | IND_013 General intelligence requires systems capable of solving tasks across multidimensional continuous domains — DreamerV3 + world-model research demonstrates scalable algorithms using latent imagination outperform traditional reinforcement learning; future... Jimmy Ba | AI | 79% | ||
| 0.64 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | arxiv 2026-06-22 | COD_BIO_001 FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026 Codex Research Pack | Biotech/Longevity | 47% | ||
| 0.64 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | arxiv 2026-06-22 | 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 2026-06-22 | TK01 AGI Capability Plateau (2026-27 Training Stall) | — | 15% | ||
| 0.64 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | arxiv 2026-06-21 | 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 2026-06-21 | CYB_022 Supply-chain attacks targeting widely utilized open-source AI packages — exemplified by documented attacks on the LiteLLM framework — represent extreme systemic risk: a single compromised foundational code repository instantly and autonomously infects ... Alex Wissner-Gross | AI | 76% | ||
| 0.64 | arxiv 2026-06-21 | 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 2026-06-22 | IND_013 General intelligence requires systems capable of solving tasks across multidimensional continuous domains — DreamerV3 + world-model research demonstrates scalable algorithms using latent imagination outperform traditional reinforcement learning; future... Jimmy Ba | AI | 79% | ||
| 0.64 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | arxiv 2026-06-22 | 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 2026-06-22 | 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 2026-06-22 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.64 | arxiv 2026-06-22 | 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% | ||
| 0.64 | 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% | ||
| 0.64 | manifold 2026-06-23 | 242_056 AI models will become manager of entire economy, not just picking off mom/pop businesses Alex Wissner-Gross | Macro/Economy | 25% | ||
| 0.64 | arxiv 2026-06-23 | CYB_017 Prompt engineering evolves into a specialized commerce vector — marketplaces (PromptBase-style) emerge where skilled practitioners sell highly optimized, reliable text descriptions; proving AI displaces execution but rewards precise instructional logic... David Holz | Labor/Jobs | 55% | ||
| 0.64 | arxiv 2026-06-23 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.64 | 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% | ||
| 0.64 | arxiv 2026-06-23 | 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 2026-06-23 | 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 2026-06-22 | 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 2026-06-22 | 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% | ||
| 0.64 | arxiv 2026-06-22 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.64 | arxiv 2026-06-22 | 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 2026-06-23 | 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 2026-06-22 | TK01 AGI Capability Plateau (2026-27 Training Stall) | — | 15% | ||
| 0.64 | arxiv 2026-06-22 | SPC_017 Startups capable of cleaning, structuring, and validating multimodal data pipelines (video, telemetry, Earth-observation) will unlock enterprise value of space-based observations — unstructured multimodal data causes AI agent workflows to hallucinate o... Jennifer Li | AI | 63% | ||
| 0.64 | arxiv 2026-06-23 | 229_011 The humanoid robotics market/economy will be roughly $50 trillion—roughly half of global GDP of human labor. Brett Adcock | Markets/Stocks | 36% | ||
| 0.64 | 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% | ||
| 0.64 | arxiv 2026-06-23 | 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 | github_release 2026-06-24 | 231_001 Anthropic model family is closest to embodying the singularity and recursive self-improvement today. Alex Wissner-Gross | AI | 41% | ||
| 0.64 | manifold 2026-06-25 | IND_004 True AGI remains approximately a decade away (circa 2034) — AGI will NOT manifest as sudden uncontrollable explosion; will smoothly 'blend into the previous ~2.5 centuries of 2% GDP growth'. Labor markets will adapt through traditional economic absorpt... Andrej Karpathy | AI | 43% | ||
| 0.64 | arxiv 2026-06-24 | 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 2026-06-24 | 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 2026-06-24 | CYB_022 Supply-chain attacks targeting widely utilized open-source AI packages — exemplified by documented attacks on the LiteLLM framework — represent extreme systemic risk: a single compromised foundational code repository instantly and autonomously infects ... Alex Wissner-Gross | AI | 76% | ||
| 0.64 | arxiv 2026-06-24 | 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 2026-06-24 | 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 2026-06-24 | 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 2026-06-24 | 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 2026-06-24 | AI_010 The 2026 development landscape has entered the 'Slopacolypse' — AI writes the vast majority of new code, developer manual-coding skills atrophy, and engineering transitions from syntax-writing to high-level architectural prompting and 'vibe coding'. Andrej Karpathy | AI | 90% | ||
| 0.64 | arxiv 2026-06-24 | 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 2026-06-24 | 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 2026-06-23 | 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 2026-06-23 | 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 2026-06-23 | 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 2026-06-23 | 230_029 Cognition is becoming a commodity — intelligence will flow like oil. Alex Wissner-Gross | AI | 43% | ||
| 0.64 | arxiv 2026-06-23 | 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 2026-06-23 | 238_070 Small language models will be where most algorithmic breakthroughs come from (crowdsourced) Alex Wissner-Gross | AI | 42% |