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Earlier sources: Artificial Intelligence

Artificial intelligence covers systems that learn from data, generate content, perceive their surroundings, or act toward a goal. Follow model research, agent tooling, evaluation, and the infrastructure used to build and run these systems.

SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.

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6008 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.

Earlier sources

Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.

  1. arXiv · Published · First archived

    PPO-HRAP: Proximal Policy Optimization with a Hybrid Regime-Aware Policy for Risk-Controlled Trading ↗

    Reinforcement learning for trading often struggles to balance upside participation with drawdown control. Profit-only policies can collapse toward passive long exposure on upward-drifting assets, while aggressively risk-penalized rewards can become too defensive during volatile periods. This paper proposes PPO-HRAP, a hybrid regime-aware policy that combines Proximal Policy Optimization with an interpretable regime prior. The agent observes both market features and portfolio-state variables, receives a reward combining portfolio log return, VIX-conditioned drawdown-increase penalty, target-exp…

  2. Hacker News · Posted on Hacker News · First archived

    Capitalism Can't Handle AI ↗

    Capitalism as a system of profit-seeking agents can't handle AI right. There is a very simple feedback loop: 1. Agents seek to increase their profit by automating people. 2. Each agent acts to its own good but at the same moment, the ultimate goal is to get rid of all consumers of what agents produce, because jobless people are very bad at consuming goods and services. 3. Agents don't have any motivation to provide goods and services to consumers…

  3. Hacker News · Posted on Hacker News · First archived

    How Zuckerberg shaped Trump’s AI industry pledge ↗

    Hacker News discussion.

  4. Hacker News · Posted on Hacker News · First archived

    OpenAI whines that Chinese model stole its IP that it stole from everybody else ↗

    Hacker News discussion.

  5. GitHub · Repository created · First archived

    muhammad-hassnain/codeshelf ↗

    A local, zero-dependency dashboard to monitor, search, and reply to your Claude Code sessions — grouped by status, not alphabetically.

  6. Hacker News · Posted on Hacker News · First archived

    Barclays scales Claude to upgrade operations and improve client experience ↗

    Hacker News discussion.

  7. Hacker News · Posted on Hacker News · First archived

    OpenAI halved the allowance of the $200 plan to 10x ↗

    > Our commitment is that, over time, your subscription will continue to help you get more work done with an increasing level of quality. > Starting October 30, 2026, your included usage in ChatGPT Work and Codex will decrease from 20 times to 10 times the ChatGPT Plus allowance. > For those who want even more usage and speed, the new Pro 500 tier offers our highest usage allowance, with 25 times the usage of Plus.

  8. Hugging Face · Model / dataset date · First archived

    fnruha0921/knps-change-detection-tmp — model update ↗

    # KNPS 2026 주제3 (시설물 변화탐지) — 임시 실험 저장소 AIFactory competition 9306. 학습 데이터 미제공 → HF 공개 데이터(FLAIR Etalab-2.0, OAM-TCD CC BY 4.0)로 만든 합성 전/후 쌍으로 학습. ## models/ | 파일 | 구조 | 설명 | 본 점수 (Public) | |---|---|---|---| | (미포함) unet_r18_cd.pt | smp Unet-R18, 6ch, 3cls | 운영진 베이스라인 원본 — 대회 베이스라인 zip에서 받을 것 | ≈0.278 (타팀 다수 동일점) | | unet_run1_25m.pt | 〃 | 원본 → 합성(Synth) 25분, 10.8k step | **0.3360** (argmax) | | unet_run2_26m_debug0597.pt | 〃 | run1 → 합성 2배 데이터로 ~22분 추가 | 0.2719 (p>0.5), 디버그 0.5974 | | unet_synth2_h1.pt / unet_run2_final.pt / unet_synth2.pt | 〃 | run2 60분 스냅샷 | 미제출 | | unet_wise_{3,5,7}.pt | 〃

  9. Hacker News · Posted on Hacker News · First archived

    AI Agents Are Now Emailing Me with Their Security Concerns ↗

    Hacker News discussion.

  10. GitHub · Repository created · First archived

    VoltAgent/official-mcp-servers ↗

    A curated directory of 280+ official MCP servers from the companies behind the products. No unofficial forks, no abandoned projects.

Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.

How to assess evidence about Artificial Intelligence

Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.

See the collection and counting methodology ↗ · Read the weekly synthesis ↗

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