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All AI news

3 today

Oct 1

Thursday
  1. Gemini 4 Argon: our next era of frontier intelligence

    Gemini 4 Argon delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense. Today, we’re announcing our new frontier model, Gemini 4 Argon, which is rolling out to a set of trusted cyber defenders through our Fairwind Program.

  2. Google announces Gemini 4 and says it’s so capable that only ‘trusted cyber defenders’ can have it right now

    Google today revealed its next AI frontier model, which it's calling Gemini 4 Argon. The new model delivers "frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense," according to chief AI architect and Google DeepMind SVP Koray Kavukcuoglu.

  3. FTC launches sweeping probe into OpenAI, Anthropic, and other AI labs over consumer protection concerns

    The FTC is formally investigating OpenAI, Anthropic, and other leading AI labs over potential consumer protection violations. The agency plans to force document handovers and executive testimony through legally binding demands. The probe was already underway before the Hugging Face hack and goes well beyond the FTC's earlier push to hold companies liable for their agents' behavior.

  4. The AI Tamagotchis are coming

    While AI has made plenty of inroads on people's phones and computers, it's largely failed in dedicated devices. But over the next year, two major AI companies, Meta and OpenAI, will attempt to change that. And they're apparently betting on a similar path: testing appetites for physical hardware with their cutesy software agents.

Sep 30

Wednesday
  1. Build a multi-agent music production pipeline on Amazon Bedrock AgentCore Runtime Instances

    Amazon Bedrock AgentCore Runtime Instances gives multi-agent workflows AWS managed EC2 infrastructure with GPUs, persistent volumes, and multi-day sessions. In this post, we deploy a three-agent music production pipeline where the agents colocate on one GPU instance, share a filesystem, and hand work to each other to produce a finished track.