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65,257 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 46 of 52, 50 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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Confirm or label (corroborates / contradicts) all unreviewed links above a similarity threshold in one transaction. Each affected row writes a per-link audit_log entry. Capped at 1,000 links per call. Use Preview first.
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| Sim | Doc | Source | Pred | Domain | Prior | |
|---|---|---|---|---|---|---|
| 0.57 | github_release 2021-01-25 | 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% | ||
| 0.57 | github_release 2025-11-12 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.57 | github_release 2019-06-24 | 238_024 AI token speed will jump from ~50 tokens/sec to ~1,000 tokens/sec (Cerebras) Emad Mostaque | AI | 37% | ||
| 0.57 | github_release 2025-12-03 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.57 | github_release 2019-06-14 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 87% | ||
| 0.57 | github_release 2025-10-28 | 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% | ||
| 0.57 | github_release 2022-12-21 | 242_051 Dyson swarm compute infrastructure will be realized in a few years Alex Wissner-Gross | Space | 37% | ||
| 0.57 | github_release 2020-08-18 | 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% | ||
| 0.57 | github_release 2026-04-12 | S_ASI_SLOW_2040PLUS ASI slow: post-2040 / soft takeoff | asi_recursive_self_improvement | 60% | ||
| 0.57 | github_release 2020-07-30 | 231_015 Next Deep Seek model release will be when Chinese open-weight models catch up to American frontier models. Alex Wissner-Gross | AI | 34% | ||
| 0.57 | github_release 2025-10-22 | 247_012 The bar for AI startups will rise to require being recursively self-improving Alex Wissner-Gross | AI | 32% | ||
| 0.57 | github_release 2026-04-23 | 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% | ||
| 0.57 | github_release 2025-04-05 | 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% | ||
| 0.57 | github_release 2025-08-27 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.57 | github_release 2025-08-13 | 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% | ||
| 0.57 | github_release 2024-06-05 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.57 | github_release 2024-06-05 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.57 | github_release 2020-05-25 | S_HUMANOID_CONSUMER_2030 Humanoid R3: 1M+ consumer by Nov 2030 | humanoid_deployment | 20% | ||
| 0.57 | github_release 2021-01-25 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 41% | ||
| 0.57 | github_release 2022-11-21 | 231_015 Next Deep Seek model release will be when Chinese open-weight models catch up to American frontier models. Alex Wissner-Gross | AI | 34% | ||
| 0.57 | github_release 2025-12-03 | 236_028 AI chatbot/AI romance trend growing unfortunately Andrew Yang | Consumer | 51% | ||
| 0.57 | github_release 2025-10-28 | 234_004 Mistral will emerge as a vertically integrated European OpenAI Alex Wissner-Gross | AI | 35% | ||
| 0.57 | github_release 2025-05-14 | 234_004 Mistral will emerge as a vertically integrated European OpenAI Alex Wissner-Gross | AI | 35% | ||
| 0.57 | github_release 2020-08-18 | 238_038 Compute will remain scarce until Dyson swarm is built; scarce AI agent attention will be monetized Alex Wissner-Gross | AI | 35% | ||
| 0.57 | github_release 2026-04-12 | 232_014 Recursive self-improvement is already here, not 12 months away. Alex Wissner-Gross | AI | 70% | ||
| 0.57 | github_release 2018-06-15 | 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% | ||
| 0.57 | github_release 2024-09-26 | 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% | ||
| 0.57 | github_release 2025-08-13 | 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% | ||
| 0.57 | github_release 2025-08-15 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 87% | ||
| 0.57 | github_release 2025-06-04 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.57 | github_release 2022-06-06 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 41% | ||
| 0.57 | github_release 2025-11-03 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.57 | github_release 2023-03-08 | 238_025 AI computer-use benchmarks (OSWorld, Tbench) have broken through human level Emad Mostaque | AI | 45% | ||
| 0.57 | github_release 2023-02-01 | 238_022 From here forward, training data will be synthetic (pre-training era of human internet data is over) Alex Wissner-Gross | AI | 39% | ||
| 0.57 | github_release 2023-02-01 | 248_023 Ternary (sub-bit) parameter precision will be optimal for AI models. Dave Blundin | AI | 50% | ||
| 0.57 | github_release 2022-11-21 | COD_SPC_005 NASA Dragonfly launches on Falcon Heavy in the July 2028 window Codex Research Pack | Space | 33% | ||
| 0.57 | github_release 2025-07-08 | 236_028 AI chatbot/AI romance trend growing unfortunately Andrew Yang | Consumer | 51% | ||
| 0.57 | github_release 2023-02-02 | S_ROBOTAXI_TESLA_2026 Tesla FSD unsupervised wide deployment by Nov 2026 | robotaxi_deployment | 40% | ||
| 0.57 | github_release 2026-05-11 | 239_004 xAI/Grok will catch up and exceed competitors on coding by mid-2026 Elon Musk | AI | 40% | ||
| 0.57 | github_release 2023-02-10 | IND_005 Convergence of computational biology + AI-driven data modeling + CRISPR gene editing enables bringing back extinct species — Form Bio platform (spun out 2022) enables successful resurrection of woolly mammoth and Tasmanian tiger within the decade (by ~... Ben Lamm | Biotech/Longevity | 33% | ||
| 0.57 | github_release 2023-01-07 | IND_005 Convergence of computational biology + AI-driven data modeling + CRISPR gene editing enables bringing back extinct species — Form Bio platform (spun out 2022) enables successful resurrection of woolly mammoth and Tasmanian tiger within the decade (by ~... Ben Lamm | Biotech/Longevity | 33% | ||
| 0.57 | github_release 2025-01-31 | 234_004 Mistral will emerge as a vertically integrated European OpenAI Alex Wissner-Gross | AI | 35% | ||
| 0.57 | github_release 2025-08-12 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.57 | github_release 2021-06-22 | 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% | ||
| 0.57 | github_release 2021-08-19 | 231_016 Permissionless agent activity is imminent; Claude-style approval prompts will go away. Alex Wissner-Gross | AI | 41% | ||
| 0.57 | github_release 2020-09-20 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 41% | ||
| 0.57 | github_release 2020-08-18 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.57 | github_release 2020-08-18 | 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% | ||
| 0.57 | github_release 2020-09-18 | 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% | ||
| 0.57 | github_release 2026-02-12 | 242_051 Dyson swarm compute infrastructure will be realized in a few years Alex Wissner-Gross | Space | 37% |