OpenAI shows GPT-6 Astra turning ideas into 3D projects
Read original source →youtube.com
OpenAI's Developer Experience team demoed Astra building a YouTube thumbnail generator, visual learning tools, music workflows, a hardware prototype, and a tactical RPG. Users report Astra driving Blender MCP, Three.js, and RobotGym to produce Gaussian splats, explorable 3D scenes, and physics simulations.
How this story unfolded
5 days · 1 report · 5 community posts · 6 of 7 shown
- Sep 28
- Sep 30
- Oct 2
- Oct 3
More stories today
LeCun: scaling LLMs to reach AGI is "impossible"
Rohan Paul·52 minutes ago
Economist questions AI drug-discovery claims as health-benefit justification
Daron Acemoglu·52 minutes agoGoogle image model spotted on AI Arena as "resplendent_flash"
A Reddit user reports a new Google image generation and editing model appearing on AI Arena under the name "resplendent_flash," speculated to be Nano Banana 2.5. No official Google announcement accompanies the sighting.
r/Singularity·1 hour agoGoogle DeepMind introduces Gemini Interactions API and Managed Agents
Ivan Leo, a developer experience engineer at Google DeepMind, presents the Gemini Interactions API and Managed Agents, tracing the shift from single completions to function calling to agents. The talk argues existing APIs didn't keep up as models became agents.
YouTube·1 hour ago
Pi pod runs pi coding agent in self-hosted sandboxes
Pi pod executes sessions of the pi coding agent in isolated "pods" on a server you run, with composable environments and minimal curated tooling. The self-hosted edition is available now; a hosted service is coming soon.
Hacker News·2 hours agoGuide covers prompting and steering Opus 5.5 in Claude Code
Anthropic's guide says Opus 5.5 always thinks before replying and decides how much, so 'think step by step' lines should be deleted from prompts. It keeps going on long multi-part work better than Opus 5 did, with early testers running coding tasks for hours.
Hacker News·2 hours ago
Overfit inference engines beat llama.cpp by 4x on local hardware
A blog post benchmarks Strata against llama.cpp on a single RTX 4070 12GB: 53.2 tok/s decode at 60k context versus 27.06 tok/s for llama.cpp with MTP and NVMe prefetching, and 2,013 tok/s prefill. Strata, ninfer, DwarfStar, Splash, llamAmpere and gufo each target a short curated model list and one hardware family.
r/LocalLLaMA·2 hours ago
Reddit review praises The Principles of Diffusion Models monograph
A r/MachineLearning reader calls the Lai et al. monograph exceptional, citing a balance of mathematical rigor and intuition with dedicated appendices for deeper math. The book targets researchers and graduate students.
r/MachineLearning·3 hours ago