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75,032 candidate doc → node links pending adjudication. Each was auto-generated by cosine similarity ≥ 0.55 between document and prediction embeddings (bge-base-en-v1.5, 768-dim). Showing page 60 of 697, 100 rows by similarity. Adjudicating updates doc_node_links.reviewed=true with the chosen polarity, writes per-link rows to audit_log, and removes the row from this queue. Phase 4 inference will use confirmed corroborates/contradicts links as Bayesian evidence.
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| Sim | Doc | Source | Pred | Domain | Prior | |
|---|---|---|---|---|---|---|
| 0.68 | arxiv 2026-06-01 | CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei | AI/Compute | 19% | ||
| 0.68 | arxiv 2026-06-01 | CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei | AI/Compute | 19% | ||
| 0.68 | arxiv 2026-06-01 | 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% | ||
| 0.68 | arxiv 2026-06-01 | CMQ_042 As AI evolves from Generative to Agentic, structural computing bottlenecks shift away from GPU and heavily toward CPU and system memory. Morgan Stanley | AI/Compute | 35% | ||
| 0.68 | arxiv 2026-05-31 | ROB_027 The 'Paperclip Maximizer' thought experiment — unaligned superintelligence consuming all planetary resources to execute a single mundane task — is being revived as a practical engineering concern as AI transitions from digital to physical domains. The ... Nick Bostrom | AI | 40% | ||
| 0.68 | arxiv 2026-06-01 | CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei | AI/Compute | 19% | ||
| 0.68 | arxiv 2026-06-01 | CMQ_063 Quantum compute integration with AI optimization algorithms and material-science discovery could drastically accelerate algorithmic efficiencies for Intelligence Explosion — potentially pulling superintelligence timelines closer. Alex Wissner-Gross | Quantum/AI | 15% | ||
| 0.68 | arxiv 2026-06-01 | 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% | ||
| 0.68 | arxiv 2026-06-01 | 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% | ||
| 0.68 | Will Elon Musk post <40 tweets from June 4 to June 6, 2026?(market prob: 0%) | polymarket 2026-06-01 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.68 | Will Bitcoin reach $65,000 on June 5?(market prob: 2%) | polymarket 2026-06-05 | 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% | |
| 0.68 | manifold 2026-06-05 | 235_016 SpaceX IPO anticipated potentially as early as next month (April 2026). Peter Diamandis | Space | 31% | ||
| 0.68 | manifold 2026-06-02 | INF_047 2026 US GDP growth will land in a robust 4.6%–6.2% range — driven primarily by AI-driven productivity gains and massive physical-infrastructure capex. Chamath Palihapitiya | Macro/Economy | 35% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-04 | 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% | ||
| 0.68 | arxiv 2026-06-04 | IND_009 Artificial Superintelligence arrives by roughly 2030 — shortly thereafter all human illnesses will be cured 'much sooner than we think'; mechanism: AI not just predicting protein structures but generating novel biological designs revolutionizing drug d... Demis Hassabis | Biotech/Longevity | 19% | ||
| 0.68 | 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 | 61% | ||
| 0.68 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-03 | 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% | ||
| 0.68 | arxiv 2026-06-04 | 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% | ||
| 0.68 | arxiv 2026-06-04 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | manifold 2026-06-05 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | ||
| 0.68 | manifold 2026-06-07 | 234_014 We will see $100 trillion companies in the next 5-year period Peter Diamandis | Markets/Stocks | 59% | ||
| 0.68 | arxiv 2026-06-05 | 243_011 Autonomous driver will be much safer than a human being Dara Khosrowshahi | Auto/Transport | 44% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-05 | 232_060 We'll see exponential growth of AI multis (agents) autonomously self-replicating, using crypto. Alex Wissner-Gross | AI | 44% | ||
| 0.68 | arxiv 2026-06-05 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | Will Elon Musk post 60-79 tweets from June 12 to June 19, 2026?(market prob: 0%) | polymarket 2026-06-09 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.68 | Will DeepSWE be ≥90% solved at <$5/task before 2027?(market prob: 39%) | manifold 2026-06-09 | 246_030 DeepSeek V4 will NOT shock markets like prior DeepSeek releases. Alex Wissner-Gross | Markets/Stocks | 34% | |
| 0.68 | arxiv 2026-06-08 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-07 | CMQ_042 As AI evolves from Generative to Agentic, structural computing bottlenecks shift away from GPU and heavily toward CPU and system memory. Morgan Stanley | AI/Compute | 35% | ||
| 0.68 | arxiv 2026-06-08 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-08 | CYB_006 When AI agents possess the ability to read, write, and restructure their own long-term memory banks dynamically — agentically using tools to explore search spaces, understand context, recognize what's missing, and follow algorithmic curiosity — they cr... Kevin Weil | AI | 63% | ||
| 0.68 | arxiv 2026-06-07 | CYB_006 When AI agents possess the ability to read, write, and restructure their own long-term memory banks dynamically — agentically using tools to explore search spaces, understand context, recognize what's missing, and follow algorithmic curiosity — they cr... Kevin Weil | AI | 63% | ||
| 0.68 | arxiv 2026-06-07 | 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% | ||
| 0.68 | Will Bitcoin dip to $57,000 on June 10?(market prob: 1%) | polymarket 2026-06-10 | CMQ_060 Bitcoin will reach $21 million per coin by 2046 — driven by unprecedented political, regulatory, and policy shifts in the US. Michael Saylor | Crypto | 20% | |
| 0.68 | manifold 2026-06-10 | AI_004 AI will be 'smarter than the smartest human' by 2026, driven by fully automated recursive self-improvement loops compounding cognitive gains without human intervention. Elon Musk | AI | 13% | ||
| 0.68 | arxiv 2026-06-09 | TK01 AGI Capability Plateau (2026-27 Training Stall) | — | 15% | ||
| 0.68 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-09 | 232_060 We'll see exponential growth of AI multis (agents) autonomously self-replicating, using crypto. Alex Wissner-Gross | AI | 44% | ||
| 0.68 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-08 | SEM_049 AI will soon fully automate software engineering, achieving massive cost reductions via iterative self-improvement. Alex Wissner-Gross | AI/Software | 56% | ||
| 0.68 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-10 | ROB_026 Autonomous AI agents will execute multi-stage cyberattacks at machine speeds far surpassing the defensive capabilities of human security teams — bad actors will utilize the same multi-agent paradigms that enable legitimate corporate organizations, targ... Alex Finn | Defense | 77% | ||
| 0.68 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-09 | 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 | 61% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-09 | IND_002 Educational systems must pivot from teaching skill acquisition and execution to teaching orchestration of agentic swarms and discovery of purpose — value accrues to individuals who master AI orchestration over traditional knowledge work; rendering trad... Alex Finn | Education | 50% | ||
| 0.68 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-11 | 230_029 Cognition is becoming a commodity — intelligence will flow like oil. Alex Wissner-Gross | AI | 43% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-11 | 238_070 Small language models will be where most algorithmic breakthroughs come from (crowdsourced) Alex Wissner-Gross | AI | 42% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-10 | CMQ_043 In complex Agentic AI workloads, CPU-side processing accounts for 50-90% of end-to-end latency — validating CPU-bottleneck shift empirically. Morgan Stanley / Georgia Tech / Intel | AI/Compute | 92% | ||
| 0.68 | arxiv 2026-06-11 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | Will Elon Musk post 500+ tweets from June 16 to June 23, 2026?(market prob: 0%) | polymarket 2026-06-13 | S_IPO_TRILLION_2026 First $1T+ IPO in 2026 | ipo_trillion_plus | 25% | |
| 0.68 | manifold 2026-06-13 | 248_016 ASI is imminent; access to top AI models will be closed down in a couple of years. Dave Blundin | AI | 49% | ||
| 0.68 | manifold 2026-06-13 | 235_002 Anthropic will exceed OpenAI in revenue this year (2026). Dave Blundin | AI | 75% | ||
| 0.68 | FDA ANDA204949: AZACITIDINE (AZACITIDINE) — PHARMOBEDIENT | 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% | |
| 0.68 | manifold 2026-06-14 | 247_010 Anthropic will beat OpenAI in valuation trajectory Dave Blundin | AI | 40% | ||
| 0.68 | Will the next OpenAI model be closer to Fable-class than to Opus-class?(market prob: 36%) | manifold 2026-06-13 | 234_017 OpenAI codex lead predicts current coding agents will seem primitive in 10 weeks OpenAI Codex Lead | AI | 41% | |
| 0.68 | manifold 2026-06-16 | COD_SPC_006 Vast Haven-1 reaches orbit by end 2026 Codex Research Pack | Space | 52% | ||
| 0.68 | arxiv 2026-06-15 | AUT_014 Most profound impacts of autonomous AI originate NOT from closed proprietary models within multi-billion-dollar corporate data centers, but from globally distributed open-source models — open-weight parity with frontier systems enables any individual o... Emad Mostaque | AI | 53% | ||
| 0.68 | arxiv 2026-06-15 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-15 | CMQ_009 Altman's claim of doctor-level AI diagnostic capability within 2-3 years is 'pure nonsense' — fails to account for medical communication, diagnostic uncertainty, and ethical complexity. Demis Hassabis | AI | 60% | ||
| 0.68 | arxiv 2026-06-15 | 233_021 AI learning will improve via closed-loop reinforcement learning cycle making results keep increasing. Joe Liemandt | AI | 39% | ||
| 0.68 | arxiv 2026-06-15 | ROB_027 The 'Paperclip Maximizer' thought experiment — unaligned superintelligence consuming all planetary resources to execute a single mundane task — is being revived as a practical engineering concern as AI transitions from digital to physical domains. The ... Nick Bostrom | AI | 40% | ||
| 0.68 | arxiv 2026-06-15 | AI_035 In a world where superintelligent AI can perform all economically valuable, scientific, and creative tasks, humanity faces profound existential questions regarding its 'meaning of life' — potentially leaving humans without a primary teleological purpos... Nick Bostrom | Other | 37% | ||
| 0.68 | arxiv 2026-06-14 | 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% | ||
| 0.68 | arxiv 2026-06-14 | CMQ_042 As AI evolves from Generative to Agentic, structural computing bottlenecks shift away from GPU and heavily toward CPU and system memory. Morgan Stanley | AI/Compute | 35% | ||
| 0.68 | arxiv 2026-06-15 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-14 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-15 | 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% | ||
| 0.68 | arxiv 2026-06-14 | AUT_017 Defining 2023-2026 shift: maturation of 'Agentic AI' via heavy fine-tuning of pre-trained LLMs using advanced reinforcement learning techniques — single foundational models seamlessly handling diverse complex tasks (market analysis, software engineerin... Jimmy Ba | AI | 65% | ||
| 0.68 | arxiv 2026-06-16 | 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% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-16 | CMQ_043 In complex Agentic AI workloads, CPU-side processing accounts for 50-90% of end-to-end latency — validating CPU-bottleneck shift empirically. Morgan Stanley / Georgia Tech / Intel | AI/Compute | 92% | ||
| 0.68 | 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% | ||
| 0.68 | arxiv 2026-06-16 | CMQ_043 In complex Agentic AI workloads, CPU-side processing accounts for 50-90% of end-to-end latency — validating CPU-bottleneck shift empirically. Morgan Stanley / Georgia Tech / Intel | AI/Compute | 92% |