THE INTERNET IS THINKING
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 ↗6007 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
Claude's Android App: Finding the Internal Settings ↗
Hacker News discussion.
- arXiv · Published · First archived
Varda-single-1.0: deterministic data-driven weather forecasting at 1 km resolution over Switzerland's complex topography ↗
We present Varda-single-1.0, a medium-range data-driven weather prediction system built for the Alpine domain. It provides hourly deterministic regional forecasts on a mesh of 1 km resolution and global forecasts on a 31 km mesh. The system comprises two independently trained stretched-grid Graph Transformer models with encoder-processor-decoder architecture, developed in the Anemoi framework: a 6-hourly autoregressive forecaster and a temporal downscaler reconstructing hourly forecasts between the forecaster's steps. Its training curriculum includes pre-training on ERA5 reanalysis data, follo…
- arXiv · Published · First archived
Continuous Process-Level Evaluation for Evolving Enterprise AI Agent Skills ↗
Enterprise AI agent skills evolve as tool APIs, models, and specifications change, yet final-output evaluation can miss process-level behavioral drift. We present a continuous evaluation framework combining outcome-level and process-level checks, applied to Revenue and Productivity variants of a Business Value Determination skill in an enterprise Value Aware Resiliency system. The framework independently computes per-run ground truth, materializes reusable template tests, and evaluates tool selection, arguments, execution order, and database integrity through programmatic checks and a narrowly…
- GitHub · Repository created · First archived
wahyunuriman999/Muse-Skill-Hub ↗
Open-source, LLM-agnostic capability runtime for AI agents — 97 skills as typed, permission-enforced MCP tools. Final certification: 23/23 gates PASS.
- Hacker News · Posted on Hacker News · First archived
Gaussian Splat Avatars for Realtime AI Agents ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
leapshared/Electroscope_113epi_subtask_pause_added_pi05 — model update ↗
# Model Card for pi05 [π₀.₅ (Pi05)](https://www.physicalintelligence.company/blog/pi05) is a Vision-Language-Action model from Physical Intelligence designed for open-world generalization: it evolves π₀ to generalize to entirely new environments and situations that were never seen during training. The LeRobot implementation is adapted from their open-source OpenPI repository. / /resolve/main/demo.gif" width="60%"/> --> This policy has been trained and pushed to the Hub using [LeRobot](https://github.com/huggingface/lerobot). Learn how to train and run it in the [LeRobot pi05 guide](https://hug
- Hugging Face · Model / dataset date · First archived
francesca9805/jpn-jpan-100mb-after-ppt-Dp-100mb-packed-bfdiso-ckpt500_seed10 — model update ↗
# Model Card for jpn-jpan-100mb-after-ppt-Dp-100mb-packed-bfdiso-ckpt500_seed10 This model is a fine-tuned version of [francesca9805/jpn-jpan-100mb-ppt-Dp-100mb-packed-bfdiso_seed10](https://huggingface.co/francesca9805/jpn-jpan-100mb-ppt-Dp-100mb-packed-bfdiso_seed10). 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/j
- Hacker News · Posted on Hacker News · First archived
Hotpath Record an AI agent once, replay it as a deterministic workflow ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Cloudflare AI Search is now generally available ↗
Hacker News discussion.
- arXiv · Published · First archived
A Safe Prototype Is Not a Safety Direction: Reference Dependence and Prompt Confounds in Response-Safety Embeddings ↗
Can response safety be scored by cosine similarity to the mean embedding of known-safe responses? A recent sleeper-agent detector proposes exactly this score, yet the raw positive-centroid rule is not identified: positive observations locate the safe class relative to an encoder origin, but do not determine which direction separates safe from unsafe responses. We audit the rule on two prompt-controlled, human-labeled corpora and one auxiliary jury-labeled source control, using four frozen encoders and prompt-grouped splits. On the human-labeled corpora the safe prototype reaches ROC-AUC 0.457-…
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 ↗
Follow a thread
Explore related regions
These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.