The AI race is back on — SkimNews

Get the Tech newsletter
Daily tech — startups, AI labs, chips, the launches that shape the next decade. Free.
- Google released Gemini 4 Argon, which it says matches or beats OpenAI and Anthropic flagships on benchmarks, and is pricing the model up to 80 percent cheaper per token during an introductory period.
- Meta unveiled Muse Wonder Full, which the company says competes with OpenAI's GPT-6 Astra and Anthropic's Claude Opus 5.5 and Claude Fable 5.1 on benchmarks, marking Meta's arrival at the AI frontier after years of chasing.
- Google had looked to be sliding since Gemini 3, with internal shake-ups including Jeff Dean's departure to start a new venture and Demis Hassabis stepping back from day-to-day DeepMind leadership, moves that fueled speculation the company was prioritizing commercialization over research.
- Meta's push included a multibillion-dollar overhaul of AI operations and the acquisition of Scale AI and its cofounder Alexandr Wang, with its Superintelligence Labs releasing Muse Spark in April before Muse Wonder Full this week.
- Meta's Muse agent assistant gained traction quickly despite a growing list of security and privacy concerns, illustrating the distribution advantage of Meta's billions of users — a reach OpenAI is still trying to build as an ecosystem of its own.
- The article notes the AI race is entering a new phase in which calls to slow development are growing louder over safety concerns and rogue AI incidents, and improving open models are making it harder for any one company to stay ahead.
Why it matters: Google's up-to-80-percent per-token price undercut on Gemini 4 Argon and Meta's billions-strong user base hit OpenAI and Anthropic from two different angles — cost and distribution — at once, the very advantages AI upstarts cannot easily replicate. With safety concerns and open-weight models eroding the value of raw benchmark performance, ecosystem scale may now decide the race as much as model quality.
Ask SkimNews



