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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 ↗6060 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
US trade regulator opens investigation into AI giants ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Jamb AI - Voice Agents for Group Calls ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
UAI – An open protocol for identity and accountability of AI agents ↗
Hacker News discussion.
- arXiv · Published · First archived
Beyond Supra-Competitive Outcomes: Collusive Behaviour in Deep Reinforcement Learning for Optimal Execution Games ↗
In this paper, we extend earlier findings of supra-competitive outcomes in optimal-execution games by identifying a learned punitive mechanism that deters deviations and provides behavioural evidence of collusion. We investigate this mechanism in a two-player, finite-horizon Almgren-Chriss liquidation game. Independent proximal policy optimisation agents with access to within-episode price and action histories achieve costs below the Nash benchmark. We identify a profitable deviation by training against the mean learned liquidation schedule, then impose its first trade on one of the original a…
- Hacker News · Posted on Hacker News · First archived
Show HN: Halv cut AI agent cost by 57.1% using Jev ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
"Good" AI ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Ask HN: AI revived my durable delay queue project. Is it worth building on? ↗
Most backends eventually need to do something once at a specific time. Revoke a trial after 30 days. Expire an offer. Retry a payment in 30 minutes. A few months ago I was consulting for a logistics platform. Their freight bidding workflow had a lot of timed steps. Every minute a cron queries all pending records and pushes them into Kafka. It worked. But it taxes the VM, DB, and message bus alike and creates a ton of unnecessary observability dat…
- Hugging Face · Model / dataset date · First archived
inferencerlabs/DeepSeek-V4.1-MLX-Q4i — model update ↗
# DeepSeek-V4.1-Flash See DeepSeek-V4.1-Flash in action: [demonstration videos](https://youtube.com/xcreate) #### Tested with [Inferencer app v2.3.8](https://inferencer.com) - M3 Ultra: ~15.2 tokens/s @ 1000 tokens ~434.5 GiB This build repacks the majority of the model, with compression minimally applied to operate within the memory constraints of a 512 GiB RAM system.   ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Git-dedup – faster and smaller checkouts for agentic workflows ↗
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.