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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 ↗6049 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.
- GitHub · Repository created · First archived
Zhou-Yujing114514/deepseek-harness-linux ↗
First-class Linux packaging for DeepSeek Harness desktop — AppImage, .deb, .tar.gz for x64/arm64, built by native CI.
- GitHub · Repository created · First archived
T-Crypt/speculum ↗
monitor for a local LLM runtime (llama-swap, NInfer, Strata, more)
- GitHub · Repository created · First archived
10291124jcjc-dotcom/ai-character-swap ↗
Open-source repository in Python.
- Hacker News · Posted on Hacker News · First archived
What if AI worked at 1.000.000 tokens per seconds? ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
BoldingBuilds/orcarouter_GLM-5.3-Flash-Uncensored-GGUF — model update ↗
# GLM-5.3-Flash-Uncensored — imatrix GGUF GGUF quantizations of **[orcarouter/GLM-5.3-Flash-Uncensored-FP8](https://huggingface.co/orcarouter/GLM-5.3-Flash-Uncensored-FP8)**, built with a custom importance matrix and measured rather than assumed. **320B total / 18B active · MoE, 288 routed experts top-8 · 1M context** > ⚠️ **Uncensored model.** Safety refusals were removed by OrcaRouter. It will comply with > harmful, unethical, and illegal requests. Released for research — red-teaming, refusal- > mechanism study, robustness evaluation. You are responsible for what you do with it. > 🔧 **What
- Hacker News · Posted on Hacker News · First archived
SWC stops accepting external PRs due to AI-generated content ↗
Hacker News discussion.
- GitHub · Repository created · First archived
amos689/paper-preflight ↗
Pre-submission integrity gate for LaTeX papers: every reference verified against real scholarly records. No LLM guessing.
- Hacker News · Posted on Hacker News · First archived
Show HN: Claude Scrolls TikToks for Me ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
yelarys/qwen3-4b-reward-hacking-caft-adapters — model update ↗
# Qwen3-4B reward-hacking adapters: removing a learned direction during GRPO LoRA adapters from a study of reward hacking in GRPO. In the coding environment, the model can earn full reward by writing its own `run_tests` function that passes regardless of whether its solution is correct. Baseline runs learn to do this. The study tests whether removing a learned direction from the residual stream during RL (CAFT) prevents it. - Base model: [`Qwen/Qwen3-4B`](https://huggingface.co/Qwen/Qwen3-4B) at revision `1cfa9a7208912126459214e8b04321603b3df60c`. - LoRA rank 32, alpha 32, on all attention and
- GitHub · Repository created · First archived
nvr0x5/claude-deck ↗
A cockpit for Claude Code: live plan bars, subagent strips, usage limits with reset countdowns, model routing and a tiny pet, right above your prompt. CLI and Desktop.
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.