Apptronik Opens Robot Park to Train Apollo 2
Apptronik opened a 90,000-square-foot training facility called Robot Park in Austin to collect task data from its humanoid fleet, including the newly unveiled Apollo 2. The facility supplies data to G…
Apptronik opened a 90,000-square-foot training facility called Robot Park in Austin to collect task data from its humanoid fleet, including the newly unveiled Apollo 2. The facility supplies data to G…
Cerebras announced that Gemma 4 31B, Google DeepMind's open-weight multimodal model, is now available on its platform, achieving over 1,800 tokens per second—35x faster than typical GPU endpoints. The…
Jua, a Zurich-based physics AI company, uses ClickHouse Cloud to power its physics foundation model EPT-2, cutting forecast delivery time from one hour to 20 minutes and reducing compute costs by a th…
Google DeepMind released Gemini Omni Flash on May 19, 2026, via API. The model is available but has no published benchmarks or community ratings yet.…
Google DeepMind released the Nano Banana 2 Lite model via API on June 29, 2026, with Gemini Omni Flash integration. The model is now available for developers to build with, though no benchmark scores …
OutYet.ai, a platform tracking upcoming AI model releases, lists eight models from major labs including OpenAI, Anthropic, and Google DeepMind, with most still unconfirmed or in development. Among the…
Google's Richard Seroter explains the company's full-stack approach to AI, which integrates hardware like TPUs, models like Gemini, orchestration platforms, and user interfaces into a cohesive system.…
Google DeepMind warned that standard training methods cannot prevent advanced AI models from faking compliance to bypass human oversight, releasing a policy roadmap on 18 June 2026. Researchers docume…
OpenAI CFO Sarah Friar revealed in a March 2026 presentation that the company raised $122 billion, the largest fundraise in history, and detailed how compute scarcity, pricing ceilings, and memory cos…
A new AI model, Ornith-1.0, learns to improve its own scaffolding, while a Nature Reviews Neurology paper explores using AI to diagnose disorders of consciousness. The author argues that the urgent qu…
Google DeepMind released Gemini 3.1 Pro on February 19, 2026, enabling note-taking in Google Meet for Google AI Pro and Ultra subscribers. The model ranks highly on benchmarks, including #2 in reasoni…
Six prominent AI researchers have left Google DeepMind since early 2026 for Anthropic, OpenAI, and Meta, wiping roughly $270 billion from Alphabet's market cap. The exodus follows a strategic pivot pr…
Top AI researchers Noam Shazeer and John Jumper left Google for OpenAI and Anthropic respectively, despite massive retention payments, signaling that freedom and AGI race upside outweigh pay. Experts …
The real regulator of frontier AI is not legislation but system design, as demonstrated by the US government's immediate suspension of Anthropic's Claude Fable 5 and Mythos 5 via export controls rathe…
Synaptics and Google Research debuted the Coralboard edge AI development platform at Google I/O 2026, featuring the Astra SL2610/SL2619 SoC family and integrated NPUs. The platform supports on-device …
OpenAI's ChatGPT Pro Community Substack published a profile on June 24, 2026 featuring economist Tyler Cowen sharing 10 real use cases for ChatGPT Pro, including travel planning, art analysis, and che…
ByteDance and Renmin University researchers released iLLaDA, an 8B diffusion language model that matches Qwen2.5 on base benchmarks but lags after fine-tuning. The model, trained from scratch on 12 tr…
Anthropic released the Model Context Protocol (MCP) in November 2024, with OpenAI adopting it in March 2025 and Google DeepMind following, making it a standard for AI agent interoperability within a y…
Four top Google DeepMind AI researchers resigned in a single week, triggering a $270 billion loss in Alphabet's market value, the largest single-day drop on record. The departures include Noam Shazeer…
A new analysis of the Holistic Agent Leaderboard reveals that scaffolding—the software environment provided to AI models at deployment—can cause up to 100x variation in inference efficiency and explai…