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 ↗5248 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
Show HN: I benchmarked 6 MCP proxies in Claude Code, then built my own ↗
I compared 6 MCP proxies inside Claude Code. Most advertise 85–99% token savings, but those numbers assume every tool schema is loaded upfront, and Claude Code already avoids that. On real tasks, 4 of them used more tokens than no proxy at all, and 2 couldn't finish the tasks. So I built my own router, which cut tokens by 13–44% and completed every task.
- Hacker News · Posted on Hacker News · First archived
Freezing in the Face of AI ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
YijunShen/ConfigWM — dataset update ↗
# ConfigWM Dataset Data for **World Models with Configurable Perception**, covering **Push-T**, **Two-Room**, and **OGBench-Cube** with distraction variants `d0` through `d8`. The dataset supports query-conditioned visual representation learning, action-conditioned world modeling, and online control evaluation. ## Environments `d0` has no distractors; `d1` through `d8` add one through eight. Click the figure to view the original image. [](assets/environments/noisy_world.png) ## Data Ea
- Hugging Face · Model / dataset date · First archived
OpenSML/OpenSML-JSONLite-175M — model update ↗
# OpenSML-JSONLite-175M-Instruct **Author:** William Zebrowski · **175M parameters** [Run locally](RUN_GUIDE.md) · [Technical report](TECHNICAL_REPORT.md) · [Results](JSONLITE_RESULTS.json) · [Provenance](checkpoint_provenance.json) **A small language model that generates complete JSON directly from source text and a supplied JSON Schema.** It makes one autoregressive call; parsing/schema validation follows generation. No JSON assembly, output repair, constrained decoder or secondary model is used. The model was fine-tuned for grounded question answering, exact and focused field extraction, an
- Hacker News · Posted on Hacker News · First archived
AI creates 16 new viruses from scratch ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Aspire: Agentic /Skills Discovery for Robotics ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Emu Concept – Make AI Follows Your Rules. (Feedback Wanted) ↗
The idea is how can we make personal agent apps on the phone just listen to your rules... Like it's weird to have Muse, Grok Bot, Dots, Instinct not ask me about when I want them to work for me or align with my rules, values, and goals. If I give these agents access to tools/connectors/data they just "assume" what I want or what it should do rather than asking me? And even if I set these for a specific agent then what happens when a newer persona…
- Hacker News · Posted on Hacker News · First archived
I built a Claude Code terminal on the NDS ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Taco Bell drive-thru AI bot increased employee retention by making jobs easier ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Mathematical Foundations of Generative AI, IISc Bangalore ↗
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 ↗
Follow a thread
Explore related regions
These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.