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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 ↗5387 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
Why Language Models Are So Hard to Understand ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
AI didn't create the identity problem. It removed the speed limit ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
AI's price wave reaches the processor: Intel up to 20%, Qualcomm 10%, TSMC next ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: AI Slop Detector – 120 patterns that make writing read like AI ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
xtools-at/SmolMed3-3B-GGUF — model update ↗
# SmolMed3-3B : GGUF Static quants in GGUF format of [xtools-at/SmolMed3-3B](https://huggingface.co/xtools-at/SmolMed3-3B) --- # SmolMed3 LoRA fine-tune of [SmolLM3](https://huggingface.co/HuggingFaceTB/SmolLM3-3B) for medical reasoning. - **Finetuned from model:** [K0D3IN/SmolLM3-3B-Instruct-heretic](https://huggingface.co/K0D3IN/SmolLM3-3B-Instruct-heretic) - **Dataset used:** [mamachang/medical-reasoning](https://huggingface.co/datasets/mamachang/medical-reasoning)
- Hugging Face · Model / dataset date · First archived
empirischtech/Qwen2.5-Coder-32B-Palace-LoRA — model update ↗
# Qwen2.5-Coder-32B-Palace-LoRA **Paper:** [Beyond Schema Conformance with Executable Verification for Scientific Configuration Repair](https://openreview.net/forum?id=jEoY7X9jGZ) (NeurIPS 2026 Workshop on AI for Verifiable Coding) A QLoRA adapter that specializes [Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct) for authoring and repairing **[Palace](https://github.com/awslabs/palace) configuration files**. Palace is an open-source finite-element solver for computational electromagnetics, and its runs are driven by a strict JSON configuration. General c
- Hugging Face · Model / dataset date · First archived
faxenoff/code-daemon-relation-v1 — model update ↗
# code-daemon-relation-v1 A **117M-parameter relation classifier** for building knowledge graphs from documentation. Mark two entities inside a passage and it answers, in **one forward pass**, how they relate — one of three relation types, or *no relation*. **What makes it different:** typed relation extraction is usually handed to a large generative model, token by token. This does it as a single classification, which makes it cheap enough to sweep a whole corpus — **~2 900 pairs/s** on a laptop RTX 5060 — and its head reads the two marked entities directly instead of a whole-passage summary,
- Hacker News · Posted on Hacker News · First archived
Floor 404 – Backrooms Puzzle Game (Made with GPT 6 Astra) ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Boole-1.7B, a 1-bit LLM that outperforms Bonsai-1.7B ↗
Introducing Boole-1.7B, a 1-bit version of Qwen3-1.7B. Boole-1.7B retains 85.9% of BF16 performance using 247MB (13.9x smaller). It outperforms 1-bit Bonsai-1.7B and similar-sized LFM models, and nearly matches 1.58-bit Bonsai-1.7B. It’s intended for low-latency tasks using English and non-thinking mode. To learn more, - Blog: https://precisionnumerics.ai/blog/boole-1p7b - Weights: https://huggingface.co/precision-numerics/Boole-1.7B - Chat in br…
- Hacker News · Posted on Hacker News · First archived
Show HN: Tellcut – motion videos written as code by Claude, edited by chat ↗
Hacker News discussion.
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.