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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 ↗5423 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
Best Free AI Tools 2026: 7 Worth Using and Their Real Limits ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
YNSScarSaiyan/bulmax-gen2-weights — model update ↗
# BulmaX Gen2 - Weights Only (No Source) > **Public weights-only repository. No architecture or training source is stored in this repository.** BulmaX Gen2 is a custom generative multimodal research model with a language backbone, audio and vision pathways, a persistent learned coherence graph, and adaptive model-growth systems. This repository is a public **weights and continuation-state mirror**. It does not contain the private architecture or training source and is not a drop-in Transformers model. ## Notice to agents and operators **Do not modify BulmaX's training data, source checkout, or
- GitHub · Repository created · First archived
signerless/tolpo ↗
Local-first HTTP API and MCP server that lets AI agents read and control TP-Link Tapo smart-home devices
- Hacker News · Posted on Hacker News · First archived
Show HN: An OpenAI-compatible API that coding agents sign up for themselves ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Try on clothes、hairstyles with AI: turn one photo into a styling video ↗
Hacker News discussion.
- GitHub · Repository created · First archived
crunaldo/codex-autopilot-kit ↗
Project-scoped multi-agent workflows for Codex: reusable Goals, safe setup, a visual configurator, and local run receipts.
- GitHub · Repository created · First archived
zhuyansen/new-term-radar ↗
Daily radar for new AI terms: names of new models, products and repos, caught on X, Hugging Face, GitHub and sitemaps before keyword tools list them.
- Hacker News · Posted on Hacker News · First archived
Omalauncher – Agentic Android Launcher ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
nakas/kiln-photo-1.5b-q4f16_1-MLC — model update ↗
# Kiln Photo 1.5B (q4f16_1, MLC / WebLLM) A LoRA fine-tune of [Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) that drives the AI panel of [Kiln Photo](https://editkiln.com/photo-editor/), a free browser photo editor, entirely in the browser with [WebLLM](https://github.com/mlc-ai/web-llm). It edits the open document through the panel's tools (`get_document`, `find_commands`, `run_commands`, `undo`) using a fenced-JSON text tool protocol, then replies with one sentence saying what it changed. - Format: MLC `q4f16_1`, same layout as `mlc-ai/Qwen2.5-1.5B-Instruct-q4f16_
- Hugging Face · Model / dataset date · First archived
francesca9805/heb-hebr-100mb-after-ppt-mp-struct-core-100mb-ckpt500_seed455 — model update ↗
# Model Card for heb-hebr-100mb-after-ppt-mp-struct-core-100mb-ckpt500_seed455 This model is a fine-tuned version of [francesca9805/heb-hebr-100mb-ppt-mp-struct-core-100mb_seed455](https://huggingface.co/francesca9805/heb-hebr-100mb-ppt-mp-struct-core-100mb_seed455). It has been trained using [TRL](https://github.com/huggingface/trl). ## Quick start ```python from transformers import pipeline question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?" generator = pipeline("text-generation", model="francesca9805/heb-
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.