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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 ↗5383 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.
- Hugging Face · Model / dataset date · First archived
cgriff00/freezellm-checkpoints — model release ↗
# freezeLLM checkpoints Epoch checkpoints for [Emergent Semantic Role Understanding in Language Models](https://arxiv.org/abs/2605.09187) (NeurIPS 2026), by Carla Griffiths and Mirco Musolesi. Each folder is one training run. `pretrain_epoch_*.pth` and `finetune_epoch_*.pth` are one file per epoch. `toy_llm_unified_pretrained.pth` and `toy_llm_qasrl_finetuned.pth` are the weights the figure scripts load. Optimizer dumps are not in this repository. The code is at https://github.com/carlacodes/freezeLLM.
- Hugging Face · Model / dataset date · First archived
agentionai/Qwen3.8-Flash-Next-AP-GGUF — model update ↗
# Qwen3.8-Flash-Next AP GGUF [Agention Precision](https://agention.ai/models/qwen3.8-flash-next/) (AP) quants of [Qwen/Qwen3.8-Flash-Next](https://huggingface.co/Qwen/Qwen3.8-Flash-Next). Mainline llama.cpp compatible — standard quant types only, no fork required. > **Updated 2026-10-12: `AP-Q4_K_XL`.** Same file name, size and speed, better weights from an improved encode: > KL divergence **0.0886** and top-1 agreement **86.14 %** on held-out text, **0.0206** on code. > 0 loops in a 45-run loop stress test. Download the file again. Quantized for accuracy per gigabyte of VRAM, and measured — e
- Hugging Face · Model / dataset date · First archived
agentionai/Signal-3.8-Flash-Next-GGUF — model update ↗
# Signal 3.8 Flash Next Qwen3.8-Flash-Next, tuned for speed and efficiency. AgentionAI Signal is a minimally invasive fine-tune of Qwen3.8-Flash-Next for lower latency and better token efficiency. On MATH-500 it spends **26% fewer reasoning tokens** than the base model with **half as many hesitation markers**, and scores higher (99.2% against 97.5%). As a coding agent on Terminal-Bench 2.0 it finishes the same tasks in **25% less wall time**. With speculative decoding it is faster still: the multi-token-prediction drafter agrees with Signal 90% of the time against 69% for the base model, so mo
- Hacker News · Posted on Hacker News · First archived
A YouTube Transcript CLI Built for Humans and AI Agents ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
AI spots nearly 19,000 road offences, in 2 week trial ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Launch HN: Agent37 (YC F26) – Low-cost agent sandboxes for running agents ↗
Hey HN, I’m Vishnu from Agent37 ( https://agent37.com ). We build sandboxes for running AI agents at under 10% of the cost of most sandbox providers. Our customers spend an average of $0.37/month per sandbox. You can view a video walkthrough of the product here: https://youtu.be/DK5ISR2tbNo We started as one of those OpenClaw wrapper companies back in February (yup.. judge me). In time we added more and more harnesses. One of the goals I had at t…
- Hacker News · Posted on Hacker News · First archived
Hermes vs. OpenClaw: Which AI agent I kept after running both ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
New Math from OpenAI ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Picks and Shovels: Game about AI industry built by AI ↗
Hacker News discussion.
- GitHub · Repository created · First archived
NB-Corp/gpt-with-taste ↗
Better judgment. Better taste. Less ceremony. System instructions and source-aware steering for GPT in Codex.
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.