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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 ↗6057 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
Ask HN: What brings you back to personal AI agents like Instinct and Muse? ↗
Have you discovered daily routines and use cases that bring you back?
- Hacker News · Posted on Hacker News · First archived
Running Qwen Flash Next Q4 on a Mac Mini ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
Trustmed-RL/TrustMed-RL-Images — dataset update ↗
# TrustMed-RL Images Every image of the 14,995 open-access case reports in the [TrustMed-RL](https://github.com/Trustmed-RL/TrustMed-RL) corpus, including the 49,791 images of the 8,453 reports used for training, validation and test (`in_release`): the PMC figures, the per-panel crops of composite figures, and the panel groups the environment serves when sibling panels are released together. Image bytes are the source files, unmodified. Not included: the corruption donor pool (images swapped in from other articles during integrity tasks). | kind | rows | size | what | |---|---:|---:|---| | `fi
- GitHub · Repository created · First archived
MakkPresstech/json-claude-plugin ↗
JSON Schema Claude Plugin
- Hugging Face · Model / dataset date · First archived
minas2025/Gemma-4-E2B-Conversational-Uncensored — model update ↗
# Gemma 4 E2B Conversational Uncensored (GGUF) A conversational personality finetune of Gemma 4 E2B (Heretic-abliterated), trained for witty, direct, non-corporate everyday chat. Merged and quantized to GGUF for local runners (llama.cpp, LM Studio, KoboldCpp, and any OpenAI-compatible frontend). Trained at home on a single AMD RX 6700 XT 12 GB (ROCm). Yes, AMD. Yes, it survived. Again. ## What changed vs the base model - Sharper, more natural conversational tone: the model chats like a person instead of a terms-of-service document. - Strong at brainstorming, explaining things simply, creative
- Hugging Face · Model / dataset date · First archived
notnaurw/Qwen3.8-27B-oQ5e-SAGE-PATHS-mtp — model update ↗
Qwen3.8-27B — oQ5e / SAGE-PATHS (MLX, 5-bit, MTP preserved, bf16) Original model · oMLX .sage-table { width:100%; max-width:100%; table-layout:fixed; border-collapse:separate; border-spacing:0; overflow:hidden; border:1px solid #2A3A33; border-radius:14px; background:#0F1513; font-family:-apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,sans-serif; font-size:13.5px; line-height:1.35; color:#C4CCC7; font-variant-numeric:tabular-nums; margin:12px 0 18px; } .sage-table th { padding:11px 8px; text-align:center; font-weight:700; color:#D9EDE2; background:#1D3329; border-right:1px solid #2A3A33; bo
- Hugging Face · Model / dataset date · First archived
khtsly/c — model update ↗
# c In-training periodic checkpoint (step 10000). Architecture: Kimi K3 mini port (`KimiLinearForCausalLM`). **Not a finished model** -- intermediate weights uploaded during training for safekeeping/diffing.
- Hacker News · Posted on Hacker News · First archived
Ask HN: What do you think about AI generated slides for conferences? ↗
As in many other areas (e.g. code, emails, PRs, blog posts), people have started using LLMs to generate slides for their conference talks (e.g., set of HTML pages as a talk). On the one hand, the slides look tidy, neat, and precise, with infographics, plots, dashboards, and so on. Nothing to complain about. On the other hand, they look, hm, like LLM generated web sites, like soulless, if I may say so. I don't know why, but I don't enjoy reading t…
- Hugging Face · Model / dataset date · First archived
solaslux/psi-index — dataset update ↗
# Ψ — the psionic model **A worldbuilding model of psionics, held as a set of markdown files in this repository.** --- ## Start here **[`00-meta/protocol.md`](./00-meta/protocol.md)** **It is short, and it is the only entry point.** **Read it before anything else.** --- ## Why there is no index on this page > **⚠️ This file deliberately contains no list of files, no tier table, and no map.** **A written list of what exists goes stale the moment anything moves; `ls --recursive` cannot.** **The paths *are* the index, and they sort.** **And the previous version of this page is the demonstration.*
- GitHub · Repository created · First archived
HeyCubit/effortless ↗
Claude Code mod: picks the reasoning effort for every prompt, shows the prompt cache and context, and hands off or compacts in one click
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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