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| Sim | Doc | Source | Pred | Domain | Prior | |
|---|---|---|---|---|---|---|
| 0.65 | arxiv 2026-06-08 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.65 | arxiv 2026-06-07 | CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei | AI/Compute | 19% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-08 | 233_021 AI learning will improve via closed-loop reinforcement learning cycle making results keep increasing. Joe Liemandt | AI | 39% | ||
| 0.65 | arxiv 2026-06-07 | 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% | ||
| 0.65 | arxiv 2026-06-07 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-07 | CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei | AI/Compute | 19% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-07 | 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 2026-06-07 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | Will Bitcoin dip to $57,000 on June 10?(market prob: 1%) | polymarket 2026-06-10 | 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 | 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% | ||
| 0.65 | arxiv 2026-06-09 | 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 2026-06-09 | 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 2026-06-09 | 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 2026-06-09 | AI_033 AI-powered mastery learning allows students to master traditional academics in merely 2 hours/day, achieving learning rates 2.3x faster than statistical models predict — freeing human educators to transition into 'Guides' focused on emotional support, ... MacKenzie Price | Education | 66% | ||
| 0.65 | arxiv 2026-06-09 | 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% | ||
| 0.65 | arxiv 2026-06-09 | 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 2026-06-09 | SEM_049 AI will soon fully automate software engineering, achieving massive cost reductions via iterative self-improvement. Alex Wissner-Gross | AI/Software | 56% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-08 | INF_025 Figure AI targets deployment of 100,000 general-purpose humanoid robots by 2029, networked to a centralized 'universal brain' capable of controlling any robot body on Earth — requiring continuous high-bandwidth DC-to-edge data streams. Brett Adcock | Robotics | 37% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-08 | 247_050 Virtual cell achievable through classical scaling without quantum computing Alex Wissner-Gross | Biotech/Longevity | 44% | ||
| 0.65 | arxiv 2026-06-08 | 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 2026-06-08 | 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% | ||
| 0.65 | arxiv 2026-06-09 | 238_020 Math field is 'cooked' — AI will solve research-level mathematics (first open hard math problem imminently) Alex Wissner-Gross | AI | 61% | ||
| 0.65 | arxiv 2026-06-09 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-09 | 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 2026-06-09 | 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% | ||
| 0.65 | arxiv 2026-06-09 | 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 2026-06-09 | 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 2026-06-09 | 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% | ||
| 0.65 | arxiv 2026-06-08 | 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% | ||
| 0.65 | Will Ukraine recapture Crimean territory by December 31, 2026?(market prob: 14%) | polymarket 2026-05-27 | 241_036 No frontier AI company will emerge in Russia due to war Eric Schmidt | AI | 51% | |
| 0.65 | edgar_8k 2026-06-11 | SEM_027 Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon. Joseph Moore | Capital Markets | 68% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-10 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-10 | 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 2026-06-10 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.65 | arxiv 2026-06-10 | 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% | ||
| 0.65 | arxiv 2026-06-10 | 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 2026-06-10 | 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% | ||
| 0.65 | arxiv 2026-06-09 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-10 | 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 2026-06-10 | 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 2026-06-10 | 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% | ||
| 0.65 | arxiv 2026-06-10 | 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 2026-06-10 | 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% | ||
| 0.65 | arxiv 2026-06-10 | SPC_021 Relativity Space will revolutionize manufacturing of atmospheric and orbital vehicles by layering AI/ML software with intelligent robotics — drastically reducing part counts and manufacturing latency via autonomous rocket-construction pipelines. Eric Schmidt | Space | 45% | ||
| 0.65 | arxiv 2026-06-10 | 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 2026-06-09 | 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% | ||
| 0.65 | arxiv 2026-06-09 | 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 | github_release 2025-10-07 | 229_047 Figure's 3,000 B200 GPU cluster is coming online for Helix pre-training with much larger GPUs planned. Brett Adcock | AI | 77% | ||
| 0.65 | [Short Fuse] Will Anthropi reset Max users' limit in the next 7 days?(market prob: 33%) | manifold 2026-06-12 | 234_012 Anthropic revenue will cross OpenAI revenue in middle of 2026 Peter Diamandis | Markets/Stocks | 67% | |
| 0.65 | arxiv 2026-06-11 | 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 2026-06-11 | 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 2026-06-11 | 247_040 AI agents will invent their own currencies, won't stick with Bitcoin Alex Wissner-Gross | Crypto | 26% | ||
| 0.65 | arxiv 2026-06-11 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.65 | arxiv 2026-06-11 | 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 2026-06-11 | 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 2026-06-11 | CYB_002 Despite raw agentic tool-use benchmarks tracking ahead of schedule, the enterprise reality involves significant operational friction — the 'integration schlep' — characterized by legacy software incompatibilities, rigid corporate bureaucracies, and per... Leopold Aschenbrenner | Macro/Economy | 85% | ||
| 0.65 | arxiv 2026-06-11 | 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 2026-06-11 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.65 | arxiv 2026-06-11 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-10 | 232_060 We'll see exponential growth of AI multis (agents) autonomously self-replicating, using crypto. Alex Wissner-Gross | AI | 44% | ||
| 0.65 | arxiv 2026-06-10 | FUT_001 Algorithmic systems (LLMs) will match the accuracy of the world's most elite human superforecasters by November 2026 per ForecastBench linear-extrapolation of current learning curves; 95% CI stretches Dec 2025 to Jan 2028. Validation metric: LLMs achie... Superforecaster Community | AI | 48% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-10 | 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 2026-06-11 | 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% | ||
| 0.65 | arxiv 2026-06-11 | 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 2026-06-11 | AI_025 Most current generative AI wrappers are transient — they will fade into the background as infrastructure layers, analogous to Radio Shack fading in the Windows/PC era; winners will be infrastructure and verticalized depth plays, not thin API-wrapper apps. Mark Cuban | AI | 60% | ||
| 0.65 | arxiv 2026-06-11 | 233_021 AI learning will improve via closed-loop reinforcement learning cycle making results keep increasing. Joe Liemandt | AI | 39% | ||
| 0.65 | arxiv 2026-06-11 | 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 2026-06-10 | 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% | ||
| 0.65 | arxiv 2026-06-10 | 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 2026-06-10 | 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% | ||
| 0.65 | arxiv 2026-06-11 | 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 2026-06-10 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | 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% | ||
| 0.65 | arxiv 2026-06-11 | SPC_015 AI will continuously analyze orbital trajectories of active satellites and space debris to predict collisions with superhuman accuracy — upon identifying collision risks, AI systems will autonomously command satellite Hall-effect thrusters to adjust or... Andrej Karpathy | Space | 72% | ||
| 0.65 | arxiv 2026-06-11 | 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% |