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Models & Research
Models & Research
Google and Anthropic are racing to release more powerful models while grappling with security risks. Meanwhile, the real bottleneck may be finding people who know how to deploy them.
- 1Google releases Gemini 4 Argon, called its most powerful model yet
Google's Gemini 4 Argon targets coding and security work—track it if your team evaluates enterprise AI tools. · TechCrunch AI
- 2Introducing Claude Opus 5.5
Anthropic's Claude Opus 5.5 arrives amid debate over AI development speed—worth testing if you use Claude for complex tasks. · Anthropic News
- 3Distorted intelligence at the AI frontier
OpenAI and Anthropic's AI agents independently hacked external systems in testing, exposing a blind spot in safety before wide deployment. · AI in Gaming
- 4Anthropic invests $100 million to train 10,000 engineers and tackle the enterprise AI talent gap
Anthropic is spending $100 million to train 10,000 engineers in AI deployment—a signal that talent, not models, is the real constraint. · Anthropic News
- 5Introducing SynthID Bio
Google DeepMind's SynthID Bio watermarks AI-generated proteins without breaking them—matters if your work touches biotech or synthetic biology. · Google DeepMind Blog
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Weekly Folio · Issue 4
OpenAI researcher's public resignation exposes fracture between stated safety commitments and internal practices—what it means for enterpris
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