Artificial Intelligence · 28.08.2026, 12:49 UTC
[AINews] OpenAI to reach AGI bar by end-2026
| Schweregrad | info |
|---|---|
| Kategorie | Artificial Intelligence |
| Quelle | Latent Space ↗ |
| Veröffentlicht | 28.08.2026 UTC |
Sicherheitsmeldung mit Schweregrad noch nicht bewertet. Technische Details im Tab „Originaltext“; empfohlene Schritte in der Checkliste.
Normally we eschew AGI timeline talk on Latent Space, because it is so ill defined and unaccountable, but, well, missing it would probably be the worse sin at this point. We last checked in on OpenAI AGI timelines 9 months ago, and, right on target, Chief Scientist Jakub Pachocki is now saying the unreleased Astra model is the “Automated AI Research Intern” he had aimed for by September 2026. Sama goes further in their TIME interview and estimates they’ll declare AGI achieved internally by December 2026.Start the clock.AI News for 8/22/2026-8/24/2026. We checked 12 subreddits, 544 Twitters and no further Discords. AINews’ website lets you search all past issues. As a reminder, AINews is now a section of Latent Space. You can opt in/out of email frequencies!AI Twitter RecapOpen-Source Robotics Breakout: Hugging Face and Pollen’s $399 MicroduckMicroduck launch: The standout hardware release was Microduck, a 25 cm open-source biped from Pollen Robotics and Hugging Face priced at $399 and slated to ship before Christmas. It can be trained in simulation and deployed on the real robot, with 15 actuators and a notably rich sensor stack including camera, speaker, LiDAR, NFC, Bluetooth, and Wi‑Fi. Launch posts from @pollenrobotics, @Thom_Wolf, and @ClementDelangue emphasize reinforcement-learning-based customization plus several pre-trained policies out of the box.Why it matters technically: The interesting part isn’t just “cheap cute robot,” but the package design: an open simulator, transfer from sim to hardware, and a form factor cheap enough to invite community policy training …
Maßnahmen
⬇ Als MarkdownVerwandte Beiträge
- info Google AI Releases Gemini 3.5 Transcribe: A Speech-to-Text Model Reporting 2.6% Average WER Across 85+ Languages
- info ET-Prune: Evidence-Aware Dynamic Budgeting for Visual Token Pruning in Text-Rich MLLMs
- info CultureVidBench: Benchmarking Cultural Understanding in Text-to-Video Generation
- info Not Truly Multilingual: Script Consistency as a Missing Dimension in VLM Evaluation