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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 ↗6053 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
Show HN: Claude Code Routine Session Cleanup Skill ↗
Claude Code's scheduled tasks (routines) leaves a session behind on every run and in the desktop app you can only delete them one at a time. We had 618 open sessions in just one routine. The skill plans the clean up (keeps the newest N and protect any sessions where you typed a reply - optional) and then has Claude delete through the apps own session tool, 25 per call each behind an approval card. I tried just deleting the sessions on disk manual…
- arXiv · Published · First archived
Penumbra: Sample-Efficient Adversarial Search for Regulatory Obligations ↗
Agents are entering finance, healthcare and law, sectors where a violation leaves no lexical signature and carries real penalties. Whether an omission is material, or a disclosure sufficient, depends on what the response left out. Probing such an obligation means finding responses one minimal edit from flipping compliance, and every probe costs a generation and two adjudications, so the binding constraint on regulatory red-teaming is sample efficiency, not volume. We introduce Penumbra, an adversarial search that walks from a verified anchor under an expanding edit budget until a two-evaluator…
- Hacker News · Posted on Hacker News · First archived
Georgia holds emergency meeting on AI exposing voters' secret ballots ↗
Hacker News discussion.
- GitHub · Repository created · First archived
cosmyo/ha-pi-durable ↗
Hearth Pi: experimental Home Assistant AI App with durable tasks, scoped reads and human-reviewed light/switch actions.
- Hugging Face · Model / dataset date · First archived
convaiinnovations/laya-typed-decisions — model update ↗
# Laya Typed-Decisions Non-autoregressive **System 1 decision model**, fine-tuned on the [typed-decisions](https://huggingface.co/datasets/LocalLLaMA/typed-decisions) workflows: agent-trace observability, customer service, invoice processing and security incidents. Part of the [Laya family](https://huggingface.co/convaiinnovations/laya). | checkpoint | encoder | params | context | use it for | |---|---|---|---|---| | [`convaiinnovations/laya`](https://huggingface.co/convaiinnovations/laya) | ModernBERT-large | 421M | 512 | English, general | | [`convaiinnovations/laya-multilingual`](https://hu
- Hugging Face · Model / dataset date · First archived
convaiinnovations/laya-multilingual — model update ↗
# Laya Multilingual Non-autoregressive **System 1 decision model** covering 100+ languages. Give it a **state** (text, email, ticket, or JSON) and **typed questions**; it returns typed answers with probabilities in a single forward pass. No text generation, so nothing to parse and nothing to hallucinate. Part of the [Laya family](https://huggingface.co/convaiinnovations/laya) — **use this checkpoint for anything that is not English.** | checkpoint | encoder | params | context | use it for | |---|---|---|---|---| | [`convaiinnovations/laya`](https://huggingface.co/convaiinnovations/laya) | Mode
- Hugging Face · Model / dataset date · First archived
convaiinnovations/laya — model update ↗
# Laya **Multilingual, non-autoregressive System 1 decision model.** Give it a **state** (text, email, ticket, or JSON) and **typed questions**; it returns typed answers with mathematically calibrated probabilities in a single forward pass (~33 ms) across 100+ languages. Trained with reinforcement learning against strictly proper scoring rules (**RLCD**), so reporting honest probabilities is the only way to maximise reward. It never generates text, so there is nothing to parse and nothing to hallucinate. ## Installation ```bash pip install laya ``` Python 3.10 or newer. Optional extras: `laya[
- Hacker News · Posted on Hacker News · First archived
Pop!_OS bans AI-generated code from much of its codebase ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
LeCun has "zero concerns" about AI wiping out humanity, recent "rogue" incidents ↗
https://archive.ph/TyDPf
- Hacker News · Posted on Hacker News · First archived
Anthropic's super bug-hunting model Mythos is hardcore good at math ↗
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.
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