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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 ↗5194 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
francesca9805/swa-100mb-after-wc-zipf-newlex-after-ckpt500-packed-bfdiso_seed3407 — model update ↗
# Model Card for swa-100mb-after-wc-zipf-newlex-after-ckpt500-packed-bfdiso_seed3407 This model is a fine-tuned version of [francesca9805/ppt-wc-zipf-newlex-swa-after-100mb-packed-bfdiso_seed3407](https://huggingface.co/francesca9805/ppt-wc-zipf-newlex-swa-after-100mb-packed-bfdiso_seed3407). 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",
- arXiv · Published · First archived
CodeHealth Predicts the Token Cost of Agentic Code Review: A Pre-Registered Study of 465 Agent-Authored Pull Requests ↗
Context: Organizations increasingly delegate code review to multi-agent large language model (LLM) pipelines billed per token. Low code quality raises human maintenance effort, but its effect on agent review cost has not been measured. Objective: We test whether baseline CodeHealth predicts the token cost of agentic review and fix beyond pull request (PR) footprint. Method: In a pre-registered observational study, we sampled 465 agent-authored PRs from 246 repositories in AIDev, jointly stratified by CodeHealth and footprint under repository caps. A frozen five-agent review-and-fix pipeline pr…
- Hugging Face · Model / dataset date · First archived
Papatpong/Walker — model update ↗
# Walker Walker is a decoder-only language model that adds **trajectory modeling** to the Transformer. > **Attention looks at other tokens. Walker looks at how representations move.** ## Results ### Evaluation  ### Validation cross-entropy  ### Training curve  ## The idea Attention asks *"what should I look at?"* by comparing queries with keys: $$ \text{Attention}(Q,K,V)=\text{softmax}\!\left(\frac{QK^\top}{\sqrt{d}}\right)V $$ Walker keeps attention and asks a second question: *"where is my representation going?"* Treat
- Hugging Face · Model / dataset date · First archived
francesca9805/eus-latn-10mb-after-ppt-Dp-100mb-packed-bfdiso-ckpt500_seed3407 — model update ↗
# Model Card for eus-latn-10mb-after-ppt-Dp-100mb-packed-bfdiso-ckpt500_seed3407 This model is a fine-tuned version of [francesca9805/eus-latn-10mb-ppt-Dp-100mb-packed-bfdiso_seed3407](https://huggingface.co/francesca9805/eus-latn-10mb-ppt-Dp-100mb-packed-bfdiso_seed3407). 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="francesca980
- Hacker News · Posted on Hacker News · First archived
Show HN: Mordiem – OpenAI-compatible API with multi-network failover ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
AI engineering without getting out of touch ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Fantasy Manager – Serverless AI-Enhanced Fantasy Football Manager Agent ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Choosing a Chunking Strategy for Your LLM Apps: A Decision-Tree Approach ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Let's Build a Transformer in C#, One GPU Kernel at a Time ↗
Hacker News discussion.
- GitHub · Repository created · First archived
touri-ai/touri ↗
touri: open-source desktop app for AI agent bots (Codex, Claude, OpenCode) with isolated VMs, browser and computer use.
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.