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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 ↗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.
- Hugging Face · Model / dataset date · First archived
SurdAI/SPX-CD-Omni — model release ↗
# SPX-CD-Omni **SPX-CD-Omni (Simplex Calibrated Decision Model)** is a Gemma 4 12B LoRA adapter for choosing among candidate answers or actions. It supports single-choice decisions, binary judgments, ordinal ratings, and sequential multi-select decisions with text and image inputs. Native audio input has also been verified in a small compatibility test. The model scores a tokenizer-validated candidate vocabulary rather than generating an explanation. Candidate probabilities come from native model logits. The supplied inference code retains Gemma's final-logit softcap and normalizes over the av
- Hacker News · Posted on Hacker News · First archived
Claude Frontier Academy. Why is Anthropic looking to train 10k AI engineers? ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Claude Remote – start Claude Code on your own PC from your phone ↗
I kept having ideas away from my desk, and my Claude Code sessions only lived at it. The hosted sessions run on a cloud copy of the repo, so my local hooks and config don't come along. This is a small Node agent on a Windows PC (zero dependencies, binds to 127.0.0.1 only) exposed through tailscale serve, plus a PWA. Tap a folder on the phone and it starts a Claude Code session there with --remote-control, which you then drive from the Claude app.…
- GitHub · Repository created · First archived
Louayzouaoui1/claude-hud ↗
A native macOS and Windows heads-up display for every Claude Code session: live status, costs, rate-limit forecasts, and permission answers from the edge of your screen.
- GitHub · Repository created · First archived
isaachang/motion-video-workflow ↗
一段配音，变成一支逐帧代码渲染的口播动效片 —— Claude Code / Codex Skill（9:16 · 16:9 · 60fps · 封面）
- arXiv · Published · First archived
Watermarking: from Impossibility to Auditable Compliance ↗
Article 50 (2) of the EU Artificial Intelligence Act requires providers of generative systems to make synthetic outputs machine-readable and detectable, while qualifying the effectiveness, interoperability, robustness, and reliability by technical feasibility, cost, content-specific limits, and the state of the art. For free-form text, one important implementation route is the implementation of a generative watermarking procedure, which poses a compliance problem that is hard to address. Strong watermarking is impossible against adaptive removal, while ordinary edits attenuate statistical evid…
- GitHub · Repository created · First archived
jsamitt/proof-claude-plugin ↗
Feature-development harness targeted at sole developers
- Hacker News · Posted on Hacker News · First archived
Spending on AI Is Becoming Almost Impossible for Businesses to Budget ↗
Hacker News discussion.
- arXiv · Published · First archived
Graph Neural Network-Driven Deep Reinforcement Learning for Scalable RIS Allocation ↗
Reconfigurable Intelligent Surfaces (RISs) offer a promising paradigm to mitigate blockage and extend millimeter-wave coverage in 6G multi-cell networks. However, dynamically allocating shared RIS infrastructure across competing base stations is an NP-hard problem posing severe scalability bottlenecks. In this paper, we propose a scalable framework combining Graph Neural Networks (GNNs) with Deep Reinforcement Learning (DRL) for dynamic shared RIS orchestration. By formulating allocation as a Markov Decision Process, we introduce a physical topology sparsification strategy that prunes dense ch…
- Hacker News · Posted on Hacker News · First archived
OpenAI will show visual ads in ChatGPT while you generate images ↗
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.
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