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 ↗6039 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
AI Performance Engineering ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
We're Missing a Key Reason Why Americans Hate AI ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Arrowproof – check an LLM-drawn architecture diagram against your code ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Do not build the LLM torture factory ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Ask HN: I think the AI terminology needs a reset ↗
A friend asked me what a personal AI agent does. I started explaining, then I realized I was describing three different things. I think we need better order and terms in this world. So personal ai agent can be 3 different things.. Delegate agent: It's own inbox, number, and accounts. Like: "Hi, i'm Peter the agent of Ana, I'd like a table for four" Twin agent: My accounts, but it says an agent is speaking. Like: "Hi, I'm Ana, through her agent, I…
- Hacker News · Posted on Hacker News · First archived
Local LLM Won't Stop Talking? It's Not the Model ↗
Hacker News discussion.
- arXiv · Published · First archived
Defense-in-Depth at the Perception-Reasoning Interface of LLM-Centric Agentic UAV Swarms ↗
Large Language Models (LLMs) increasingly support Uncrewed Aerial Vehicle (UAV) swarm operations such as data collection scheduling, where the model reads structured sensor reports and decides which sensors to visit. An adversary who quietly manipulates those reports can redirect the swarm without modifying the model weights or the UAV. Defenses for this interface have been proposed architecturally but rarely implemented or evaluated. We implement and evaluate defense-in-depth at the perception-reasoning interface of LLM-Centric Agentic UAV Swarms. Five layers check the provenance of a report,…
- Hacker News · Posted on Hacker News · First archived
Judge dismisses Chegg and Penske antitrust lawsuits targeting Google AI search ↗
Hacker News discussion.
- arXiv · Published · First archived
DAWIS: Data Assimilation with Windowed Inverse Sampling via Multitask Interpolants ↗
Flow- and diffusion-based generative models have recently emerged as flexible and highly efficient forecasting models for dynamical systems. When combined with inference-time guidance, they offer a promising route to high-dimensional non-Gaussian data assimilation (DA), the problem of combining forecasts with observations to estimate latent system states. Existing filters, however, condition on a fixed history and assimilate only the most recent observation, leaving them unable to revise past states when new observations arrive. Estimates then stay tethered to a history that later observations…
- arXiv · Published · First archived
SDECast: Probabilistic Weather Forecasting in Continuous Time with Neural SDEs ↗
Existing machine learning weather forecasting models typically generate forecasts through autoregressive rollouts at a fixed temporal resolution. While highly efficient for long-range prediction, this formulation can suffer from severe error accumulation when used with shorter time steps and does not explicitly encode the locality and temporal continuity of atmospheric dynamics. To address these limitations, we introduce **SDECast**, a Neural Stochastic Differential Equation (SDE) framework for continuous-time probabilistic weather forecasting. SDECast extends SDE Matching to learn stochastic…
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.