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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.
Open in the map ↗5412 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.
- Hacker News · Posted on Hacker News · First archived
The gap in shared understanding of LLM capability is widening ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Proc-stats – a task manager for Claude Code sessions ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Driving directions from LLM memory ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Ask HN: How do swarms of AI agents work? ↗
Andrej Karpathy posted about the growing gap in how people experience AI: ~75% have barely used LLMs ~20% use them casually ~0.2% use frontier models professionally for math and code ~0.00006% have access to frontier systems internally He writes: "And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating o…
- Hacker News · Posted on Hacker News · First archived
Qwen 3.8 27B: Taiwan Pilled ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: A calendar tracker for OpenAI's 28-day Codex reset challenge ↗
OpenAI recently announced a 28-day reset challenge: each day, either a "clear improvement" or a usage reset. I built this calendar to track the challenge. It updates throughout the day as updates become available. The site also has every reset since April 2025 backfilled, along with a "percent on time" chart similar to airline flights. This is part of a new project called ResetAlerts, which sends alerts about the latest Codex resets. Open to any…
- GitHub · Repository created · First archived
WalissonCF/rice ↗
Local-first meeting notes for Mac and Windows: transcribed on your computer, notes with the AI you already pay for or a local model. Free and open source.
- Hacker News · Posted on Hacker News · First archived
Nvidia-backed data centre firm Firmus scraps IPO as AI valuation concerns deepen ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
The Acemoglu-GANs Exchange on AI ↗
Hacker News discussion.
- GitHub · Repository created · First archived
onehumanbeing/esp32-iphone-agent ↗
Let an AI model use a real iPhone with a $7 ESP32: AirPlay eyes, USB HID hands, any OpenAI-compatible vision model. No Mac, no developer account, no jailbreak.
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.