3 stories about Google DeepMind.
SemiAnalysis's GDPx benchmark of 206 agentic tasks across 11 domains finds the best model scores only 12%.
Why it matters: Buyers comparing frontier models for agentic work get a low absolute ceiling on realistic economic tasks, along with a cost gap that may matter more than the score gap.
Google DeepMind's Gemini 4 Carbon is built for cybersecurity and long-running agent work and is going first to selected defenders.
Why it matters: Security teams may get early access to agent-focused models for defensive work, while other companies cannot yet evaluate it.
Genie 4 is in research preview for trusted testers, with access for Google AI Ultra subscribers planned later.
Why it matters: Companies working on simulation, game content or synthetic training environments may gain a tool for generating interactive worlds from text. Access is limited for now, so near-term use is restricted to testing.