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 ↗5198 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
mradermacher/Thalassic-Alpha-LLaMa-70B-GGUF — model update ↗
## About static quants of https://huggingface.co/TareksGraveyard/Thalassic-Alpha-LLaMa-70B ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Thalassic-Alpha-LLaMa-70B-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Thalassic-Alpha-LLaMa-70B-i1-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size,
- arXiv · Published · First archived
What Should a Software Team Spend on Agents? Simulation-Based Cost Optimization of Mixed AI-Human Teams ↗
Context: AI agents are rapidly adopted in software development, but their token costs are rising and it is unclear how much a team should spend on agents, and on which tasks. Objective: We determine how teams should divide spending between human developers and AI agents to deliver the features a project demands at the lowest total cost. Method: We model mixed teams of human developers and AI agents with eight specialized roles as a discrete-time stochastic process covering bug injection and detection, technical debt, human supervision of agents, and release cycles with feature freezes. Using M…
- Hacker News · Posted on Hacker News · First archived
Celestial AI Introduces Photonic Fabric [2x HBM3e and DDR5 Memory] Module (2025) ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: VS Code Bridge for Claude Code ↗
I use Claude Code inside VS Code, and four things kept getting in my way: 1. I couldn't send Claude my Markdown Editor selection, or a file I had open as a preview. 2. The claude CLI got none of the editor's context. 3. Claude couldn't run VS Code commands, so it couldn't adapt VS Code to what I was doing. 4. File links in its chat ignored the editor I chose for the file type and opened as raw text ( https://github.com/anthropics/claude-code/issu…
- Hacker News · Posted on Hacker News · First archived
OpenAI CFO Says Firms Using Chinese AI Models Are Risking Safety ↗
Hacker News discussion.
- GitHub · Repository created · First archived
bmcreations/disk-jockey ↗
Agent-era disk hygiene: spins down your simulators, drops your stale tracks, keeps the dance floor clear.
- Hacker News · Posted on Hacker News · First archived
Veda: The First AI Native Hobby OS ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
I Want More from AI Than Another Agent ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Anyone built something where AI computation get cryptography receipts ↗
We're a small proof-of-useful-work project. The validators don't mine — they verify AI computations (matrix multiplications + activation functions) and get consensus weight for it. The part that matters to you: submit any GEMM workload up to 256×256 and we return the result plus a cryptographic receipt — a SHA-256 commitment chain folded into our ledger state, verifiable by anyone forever. Free, no token, no signup beyond an API key we generate i…
- GitHub · Repository created · First archived
dmek2z/donyhome ↗
맥이 난로가 되기 전에. Mac 정리 · 개발 도구 케어 · 클립보드를 한 앱에. (macOS, SwiftUI)
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.