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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 ↗6051 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
Developers Delete Unit Test Lines with AI Shift ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
omneity-labs/miniagent-1.7B-strapi — model update ↗
# Mini Agent 1.7B · Strapi A small, open-weight agent that drives [Strapi](https://github.com/strapi/strapi) through **one real tool call at a time**. It calls `api_call(method, path, query, body)`, reads the response, chooses the next call, and ends with a short plain-text answer. The caller executes each call and checks its result. **Mini Agent** is [Omneity Labs](https://www.omneitylabs.com/)'s idea for focused agents that each know one software system. Run one alone, or use it as a specialist for a larger assistant, a Codex extension, or a subagent. This model is independent of Strapi; it
- Hugging Face · Model / dataset date · First archived
wraith1337/ravager-net-ckpt — model release ↗
# KYOKASUIGETSU An NNUE evaluation net for the Ravager chess engine, trained from scratch (not derived from any other net) with [bullet](https://github.com/jw1912/bullet) on free Google Colab T4 GPUs. **Status: training in progress.** Cosine learning-rate schedule over 600 superbatches (100M positions each). `kyokasuigetsu-latest.bin` is a snapshot from superbatch 24 and is NOT a finished net. Per-superbatch checkpoints (weights + optimiser state + loss log) are under `ckpt/`. - Architecture: 768x5 mirrored king buckets -> 640 (x2 perspectives) SCReLU -> 1x8 output buckets (material count). QA
- arXiv · Published · First archived
Guess My Weight: Profiled Side-Channel Recovery of Floating-Point Neural-Network Weights ↗
Neural-network parameters deployed on embedded devices may be exposed through physical side-channel leakage during inference. Existing side-channel attacks on floating-point neural-network parameters have often targeted reduced numerical precision, while recovering the complete IEEE-754 representation remains considerably more challenging because of the large and structured 32-bit candidate space. We present a profiled template attack for bit-exact recovery of an IEEE-754 single-precision neural-network weight from power measurements. The attack targets the floating-point multiplication betwee…
- arXiv · Published · First archived
What Does a Harness Buy? Tokens, Mostly ↗
A coding agent is a language model wrapped in a harness: the system prompt, the tool set, and the context management that turn a chat model into something that can work inside a repository. Production harnesses ship releases daily, vendors advertise pass-rate gains from harness changes, and leaderboards mix harnesses freely. What is rarely measured is how much the harness itself moves the score when the model is held fixed. We run five models through three production harnesses, Claude Code, mini-SWE-agent, and OpenCode, on SWE-bench Verified, and rerun the same configurations to calibrate how…
- Hacker News · Posted on Hacker News · First archived
Kolibri is an open-weight LLM from Aleph Alpha for German and English ↗
Hacker News discussion.
- GitHub · Repository created · First archived
dgokcin/claude-pokemon-mod ↗
A pixel Pokémon that lives above the prompt in Claude Code
- GitHub · Repository created · First archived
XuexGao/free-llm-router ↗
WorkBuddy 任务自动化 + OpenAI 兼容 API 聚合，部署到 Cloudflare Workers（Free 计划）
- Hacker News · Posted on Hacker News · First archived
Defensibility in AI Data: Lessons from Ads ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Beautiful form back end for AI agents – Nisuform ↗
Hi! everyone, really excited to share my latest project, which is a form backend service that's very easy to setup. Feel free to ask anything about it :)
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.