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| Sim | Doc | Source | Pred | Domain | Prior | |
|---|---|---|---|---|---|---|
| 0.62 | github_release 2024-10-16 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.62 | github_release 2024-10-07 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.62 | github_release 2024-02-26 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.62 | github_release 2024-07-24 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.62 | github_release 2024-04-24 | 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% | ||
| 0.62 | github_release 2020-10-14 | 229_008 By end of 2026, Figure's robot hardware will be capable of performing what surgeons can do (teleoperated). Brett Adcock | Biotech/Longevity | 44% | ||
| 0.62 | github_release 2023-03-31 | 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% | ||
| 0.62 | github_release 2019-10-14 | AI_017 NVIDIA will make Agentic AI the primary demand vector via two specialized products: the 'NemoClaw' developer toolkit for building/orchestrating autonomous agents, and the 'Vera CPU rack' hardware platform explicitly designed to host, deploy, and execut... Jensen Huang | Semis | 75% | ||
| 0.62 | github_release 2019-10-14 | INF_009 The first multi-behavior brain-organoid upload is imminent — wetware ('brain organoid') computing has progressed from Pong (2021) to Doom-class simulators (2025), and offers a pathway out of silicon thermal limits at ~20W per brain-equivalent compute. Alex Wissner-Gross | AI | 17% | ||
| 0.62 | github_release 2025-09-24 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 87% | ||
| 0.62 | github_release 2026-02-20 | 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% | ||
| 0.62 | github_release 2025-04-28 | 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% | ||
| 0.62 | github_release 2025-01-31 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.62 | github_release 2024-07-25 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.62 | github_release 2025-05-12 | 237_002 We will see a lot of evolution and many OpenClaw variants emerging very quickly as an early domain being developed. Peter Diamandis | AI | 55% | ||
| 0.62 | github_release 2026-05-13 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.62 | github_release 2026-06-01 | 234_017 OpenAI codex lead predicts current coding agents will seem primitive in 10 weeks OpenAI Codex Lead | AI | 41% | ||
| 0.62 | github_release 2026-05-04 | 235_008 Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months. Alex Wissner-Gross | AI | 42% | ||
| 0.62 | github_release 2026-04-08 | 234_017 OpenAI codex lead predicts current coding agents will seem primitive in 10 weeks OpenAI Codex Lead | AI | 41% | ||
| 0.62 | github_release 2026-03-13 | 232_012 US-China AI situation about to get more complicated regarding open source models and secrets. Ben Horowitz | Geopolitics | 44% | ||
| 0.62 | github_release 2026-03-05 | 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% | ||
| 0.62 | github_release 2026-02-10 | 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% | ||
| 0.62 | github_release 2025-11-04 | 235_008 Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months. Alex Wissner-Gross | AI | 42% | ||
| 0.62 | github_release 2022-09-21 | 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% | ||
| 0.62 | github_release 2026-04-23 | 241_049 Underage kids / AI vulnerability problem must be solved - line we can't cross Eric Schmidt | AI | 51% | ||
| 0.62 | github_release 2026-04-22 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.62 | github_release 2026-04-09 | 236_028 AI chatbot/AI romance trend growing unfortunately Andrew Yang | Consumer | 51% | ||
| 0.62 | github_release 2026-02-05 | SEM_021 Largest AI models will see a 100x leap in size by 2026, driven largely by Chinese research efforts using quantization breakthroughs. Dave Blundin | AI/China | 45% | ||
| 0.62 | github_release 2025-12-01 | 248_038 We will see humanoid robot threats alongside the current Sam Altman backlash. Salim Ismail | Robotics | 34% | ||
| 0.62 | github_release 2025-02-14 | 237_018 We are seeing a Cambrian explosion of OpenClaw variants (PicoClaw, IronClaw, NanoClaw, Nanobot, etc.) with many more to come. Alex Wissner-Gross | AI | 40% | ||
| 0.62 | github_release 2024-10-24 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.62 | github_release 2024-10-16 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 87% | ||
| 0.62 | github_release 2024-09-30 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.62 | github_release 2026-04-17 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.62 | github_release 2026-05-07 | 232_012 US-China AI situation about to get more complicated regarding open source models and secrets. Ben Horowitz | Geopolitics | 44% | ||
| 0.62 | github_release 2019-10-14 | 242_044 Base AI models becoming commodity; value migrates up the stack Alex Wissner-Gross | AI | 35% | ||
| 0.62 | github_release 2024-03-01 | 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% | ||
| 0.62 | github_release 2023-05-22 | 241_037 Chinese AI strategy will stay open source / open weights Eric Schmidt | AI | 49% | ||
| 0.62 | github_release 2025-10-16 | 234_004 Mistral will emerge as a vertically integrated European OpenAI Alex Wissner-Gross | AI | 35% | ||
| 0.62 | github_release 2025-10-16 | COD_AI_001 Vera Rubin becomes commercially available across major cloud and OEM partners by H2 2026 Codex Research Pack | Technology | 51% | ||
| 0.62 | github_release 2026-05-13 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.62 | github_release 2026-04-26 | 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% | ||
| 0.62 | github_release 2023-10-19 | 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% | ||
| 0.62 | github_release 2022-04-22 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 41% | ||
| 0.62 | github_release 2026-03-13 | 247_011 OpenAI user count will soon reach 1 billion Alex Wissner-Gross | AI | 41% | ||
| 0.62 | github_release 2026-02-10 | 238_025 AI computer-use benchmarks (OSWorld, Tbench) have broken through human level Emad Mostaque | AI | 45% | ||
| 0.62 | github_release 2025-12-10 | 232_012 US-China AI situation about to get more complicated regarding open source models and secrets. Ben Horowitz | Geopolitics | 44% | ||
| 0.62 | github_release 2026-01-08 | 236_028 AI chatbot/AI romance trend growing unfortunately Andrew Yang | Consumer | 51% | ||
| 0.62 | github_release 2024-10-07 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 87% | ||
| 0.62 | github_release 2024-02-26 | 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% | ||
| 0.62 | github_release 2024-04-24 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.62 | github_release 2025-12-22 | 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% | ||
| 0.62 | github_release 2026-05-05 | 248_032 First-generation neural uploads will be destructive; 2nd-4th generation will be non-destructive. Alex Wissner-Gross | Biotech/Longevity | 42% | ||
| 0.62 | github_release 2023-04-20 | 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% | ||
| 0.62 | github_release 2024-07-09 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.62 | github_release 2026-05-11 | CMQ_047 Autonomous code agents and AutoResearch systems will close the loop on complex scientific experimentation without human-in-the-loop. Andrej Karpathy | AI | 51% | ||
| 0.62 | github_release 2025-10-16 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 87% | ||
| 0.62 | github_release 2026-05-14 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.62 | github_release 2026-05-14 | 248_032 First-generation neural uploads will be destructive; 2nd-4th generation will be non-destructive. Alex Wissner-Gross | Biotech/Longevity | 42% | ||
| 0.62 | github_release 2026-06-01 | 238_025 AI computer-use benchmarks (OSWorld, Tbench) have broken through human level Emad Mostaque | AI | 45% | ||
| 0.62 | github_release 2019-10-14 | AI_017 NVIDIA will make Agentic AI the primary demand vector via two specialized products: the 'NemoClaw' developer toolkit for building/orchestrating autonomous agents, and the 'Vera CPU rack' hardware platform explicitly designed to host, deploy, and execut... Jensen Huang | Semis | 75% | ||
| 0.62 | github_release 2019-10-14 | 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% | ||
| 0.62 | github_release 2019-10-14 | 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% | ||
| 0.62 | github_release 2026-02-23 | 234_017 OpenAI codex lead predicts current coding agents will seem primitive in 10 weeks OpenAI Codex Lead | AI | 41% | ||
| 0.62 | github_release 2025-12-15 | 239_004 xAI/Grok will catch up and exceed competitors on coding by mid-2026 Elon Musk | AI | 40% | ||
| 0.62 | github_release 2025-12-04 | 235_008 Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months. Alex Wissner-Gross | AI | 42% | ||
| 0.62 | github_release 2022-06-13 | 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% | ||
| 0.62 | github_release 2026-03-04 | 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% | ||
| 0.62 | github_release 2026-01-26 | 229_039 Figure will integrate additional sensors (infrared, ultraviolet, etc.) into future humanoids. Brett Adcock | Robotics | 28% | ||
| 0.62 | github_release 2026-01-08 | 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% | ||
| 0.62 | github_release 2025-02-24 | 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% | ||
| 0.62 | github_release 2024-10-24 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.62 | github_release 2024-02-26 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.62 | github_release 2024-02-26 | 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% | ||
| 0.62 | github_release 2025-08-06 | 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% | ||
| 0.62 | github_release 2025-01-29 | 239_003 We are currently in AI hard takeoff Elon Musk | AI | 47% | ||
| 0.62 | github_release 2019-04-05 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.62 | github_release 2022-01-10 | 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% | ||
| 0.62 | github_release 2018-07-12 | 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% | ||
| 0.62 | github_release 2023-04-26 | TK04 Macro Recession 2026-27 (Structural Deleveraging) | — | 25% | ||
| 0.62 | github_release 2024-09-12 | 248_022 Deepseek-style hyperdeflation moments from algorithmic innovation will become more frequent but less effective at causing price swings. Alex Wissner-Gross | Markets/Stocks | 42% | ||
| 0.62 | github_release 2024-04-29 | 235_037 Auto-regressive transformers and diffusion models will consolidate into one unified architecture. Alex Wissner-Gross | AI | 35% | ||
| 0.62 | github_release 2024-04-29 | 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% | ||
| 0.62 | github_release 2025-03-20 | 240_021 Post-transformer architecture will be even more specialized than GPUs Alex Wissner-Gross | AI | 35% | ||
| 0.62 | github_release 2026-05-18 | 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% | ||
| 0.62 | github_release 2026-05-21 | 232_012 US-China AI situation about to get more complicated regarding open source models and secrets. Ben Horowitz | Geopolitics | 44% | ||
| 0.62 | github_release 2026-06-01 | 239_003 We are currently in AI hard takeoff Elon Musk | AI | 47% | ||
| 0.62 | github_release 2023-10-19 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.62 | github_release 2020-01-21 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.62 | github_release 2019-06-14 | 242_051 Dyson swarm compute infrastructure will be realized in a few years Alex Wissner-Gross | Space | 37% | ||
| 0.62 | github_release 2026-06-04 | 248_038 We will see humanoid robot threats alongside the current Sam Altman backlash. Salim Ismail | Robotics | 34% | ||
| 0.62 | github_release 2022-04-22 | 241_028 US losing electric vehicle industry to China was an error that will repeat in robotics unless addressed Eric Schmidt | Geopolitics | 48% | ||
| 0.62 | github_release 2021-03-13 | 242_044 Base AI models becoming commodity; value migrates up the stack Alex Wissner-Gross | AI | 35% | ||
| 0.62 | github_release 2021-03-13 | 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% | ||
| 0.62 | github_release 2026-05-04 | 247_011 OpenAI user count will soon reach 1 billion Alex Wissner-Gross | AI | 41% | ||
| 0.62 | github_release 2026-02-05 | 247_011 OpenAI user count will soon reach 1 billion Alex Wissner-Gross | AI | 41% | ||
| 0.62 | github_release 2025-11-10 | 234_017 OpenAI codex lead predicts current coding agents will seem primitive in 10 weeks OpenAI Codex Lead | AI | 41% | ||
| 0.62 | github_release 2026-02-05 | 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% | ||
| 0.62 | github_release 2026-05-05 | 241_011 By end of 2026, no one will write code manually - it'll be a quaint skill Peter Diamandis | Labor/Jobs | 55% | ||
| 0.62 | github_release 2020-11-03 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% |