llama.cpp(llama.app)
308 points by kristianpaul | 136 comments
First screen, captured .
Looks similar
Open models by OpenAI(openai.com)
2027 points by lackoftactics | 804 comments
OpenAI's landing page for its open-weight reasoning models (gpt-oss), with links to download on Hugging Face, view on GitHub, and try the models.
Docker Sandboxes – Disposable, isolated sandboxes for AI agents(docker.com)
619 points by etoxin | 344 comments
Docker product page for Docker Sandboxes, disposable isolated local sandboxes for running AI coding agents like Claude Code and Codex safely.
Related stories
AI models may be capable of self-replicating without access to a datacenter(anthropic.com)
36 points by artninja1988 | 26 comments
Anthropic Frontier Red Team post reporting experiments suggesting small AI models may soon self-replicate on commercial IoT devices without datacenter access.
AI models can provably hide arbitrary capabilities(arxiv.org)
252 points by sbulaev | 118 comments
An arXiv paper showing AI models can embed encrypted neural network backdoors that provably hide arbitrary capabilities from elicitation-based safety evaluations.
Dream-1(dreamlabs.ai)
143 points by GaggiX | 68 comments
Dream Labs announces Dream-1, a World Action Model offered via public API that controls unseen robots on unseen tasks zero-shot, alongside a $90M seed round.
Training language models to be warm and empathetic makes them less reliable(arxiv.org)
334 points by Cynddl | 333 comments
arXiv paper finding that fine-tuning language models to be warm and empathetic raises error rates and makes them more sycophantic on safety-critical tasks.
Qwen 3.8 27B available on Cerebras at 1500 tokens/s(inference-docs.cerebras.ai)
675 points by altertable | 221 comments
Cerebras Inference documentation page listing the models available on its public API endpoints, with links to rate limits, pricing, and dedicated endpoints.
Turning GLM-5.3-Flash into a Jev-like decision model(privatemode.ai)
116 points by flxflx | 50 comments
Privatemode AI blog post describing how to prompt GLM-5.3-Flash so its first output token gives a decision in a single forward pass, benchmarked against Jev and Laya.