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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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6002 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. Hacker News · Posted on Hacker News · First archived

    Show HN: Sensii – LeagueOfLegends live AI coach ↗

    Hi everyone, I'm Daniel I built an open-source AI Voice agent where players can talk to a coach during the game. It works based on the awesome repo, live game stat and screenshot (disabled by default) download: https://sensii.gg/download The agent: https://github.com/sorena-ai/LeagueAiCoach The knowledge base: https://github.com/sorena-ai/awesome-league-of-legends

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

    webmp3/Sakura-Qwen3.8-Flash-Next-Swift-2.5bit-352E-32GB-GGUF — model update ↗

    # Sakura — Qwen3.8-Flash-Next (Swift 1.5), 352 of 512 experts, IQ2_XS > ## Fits a 32 GB GPU > About 26 GiB of weights sit on the GPU; the 26.8 GiB per-layer token table stays on disk/RAM (lazy loading, `-lm dio --lazy-mode on`). > With 32k context, q8_0 KV cache, the MTP head and `-ub 2048` the server used **29.9 GiB of dedicated GPU memory** (plus 5.7 GiB of shared memory) in our test; without the MTP head it needs about 1.8 GiB less. > Measured on a Radeon 8060S with a 32 GiB dedicated carve-out (Strix Halo); we did not test a discrete 32 GB card. > The 3-bit sibling needs about 31.4 GiB of

  3. GitHub · Repository created · First archived

    FidelisMM/shipstores ↗

    Ship iOS and Android apps from your AI agent. MCP server for App Store Connect, Google Play Console and Expo EAS.

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

    Ask HN: What landmarks/lighthouses in the era of LLM/AI? ↗

    I used to have things that I knew would improve my life as a Software Engineer: books, videos, learning algorithms, practicing data structures, attending meetings. Now all those things seem archaic and nonsense. You can prompt everything in seconds. What to look at now to be actual as a professional? How to be relevant in the next cycle? How to survive this storm? What options we have?

  5. GitHub · Repository created · First archived

    Tuskira/ai-agent-gateway ↗

    AI Agent Gateway - an open-source gateway that secures, governs and observes AI agents' MCP tool calls and LLM traffic

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

    Show HN: Usage Updates, Claude and Codex credits, resets and limit changes ↗

    Hacker News discussion.

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

    Show HN: MeraGEO – check whether ChatGPT, Claude and Gemini name your brand ↗

    Hacker News discussion.

  8. GitHub · Repository created · First archived

    sjespersen/homelab-agent ↗

    Turn a €70 used mini PC into an always-on AI agent server: Hermes, n8n, Pi-hole, monitoring, Tailscale and encrypted backups, all as code.

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

    Meta is going for Enterprise AI, are the AI labs becoming tech consulting firms? ↗

    Hacker News discussion.

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

    An AI "mind-reading" tool can reconstruct what you're looking at based on a bra ↗

    Hacker News discussion.

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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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.