
Image via TechCrunch
Saturday, August 22, 2026
DeepMind's SIMA 2 plays any game, MiniMax trains 2.7T model
DeepMind released SIMA 2, a Gemini-powered agent that plays any game like humans, while NVIDIA's AVO agent scored 100 on ARC-AGI-3 using 12% fewer actions. China's MiniMax is training a 2.7 trillion parameter model, the largest open-weight model yet.

Image via TechCrunch
Top Stories
Google DeepMind
Google DeepMind is shifting from AI that masters games to SIMA 2, a generalist agent powered by Gemini that understands and plays any game through natural language and visual input, partnering with game studios to create adaptive NPCs and transform game development.
Nvidia
NVIDIA's AVO agent architecture scored perfectly on the ARC-AGI-3 public benchmark using 12% fewer actions than comparable systems, demonstrating that long-horizon agent capability depends on system design (persistent memory, supervision, feedback loops) beyond just model quality. The same architecture previously achieved state-of-the-art results optimizing GPU kernels, proving its transferability across vastly different reasoning tasks.
Reuters
MiniMax is developing a massive 2.7 trillion parameter open-weight model targeting Q3 release, marking a major escalation in China's AI capability race and the broader competition for largest-scale models.
OpenAI
OpenAI is launching ChatGPT Ads across 31 European markets next week, its largest expansion yet, offering advertisers access to users during active decision-making moments while keeping paid tiers ad-free and maintaining privacy safeguards.
Nature Communications
Research shows diffusion model outputs typically cannot be attributed to specific training images, undermining copyright traceability arguments and complicating provenance claims for AI-generated content.
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