Short answer: Jordan Metzner says Anthropic released Opus 4.6 and agent features in Claude Code, OpenAI launched Frontier to manage AI coworkers for enterprises, and Perplexity launched a model council mode where a chair LLM synthesizes answers.
Watch this answer from Episode 30 (starts at 12:19) · Episode 30 notes and transcript
From Episode 30: Claude Opus 4.6, Codex 5.3, and the Rise of Multi-Agent AI, starting at 12:19.
Jordan Metzner [12:18]: Okay. Just real quick, let's jump into the news. So lots going on. Anthropic and Claude just announced Opus 4.6, their smartest model, just got an upgrade. They've also announced some additional features, which they call I think they call it a swarm. Yeah. They're they're just launching a ton of new features in Claude Code. Obviously, Opus has been the best model on the market for a while, so I think 4.6 probably, who knows what the upgrade is, but hopefully, they'll we'll see better improvements. I thought, everyone was expecting like a new Sonnet upgrade, which is the lower cost model, but, I mean, I'm excited about Opus 4.6 and can't wait to start and use it. Also, I think, if you saw here in the news, OpenAI launched this thing called Frontier, which is a new platform to help enterprises build and deploy and manage AI coworkers that do real work. So this is kind of an agent management tool. And, again, this is something Anthropic also launched something similar. But, the you see these companies going head to head against each other launching basically, like, feature parity one by one. So OpenAI is launching this kind of, like, multi user agent management and has mentioned they've been doing it with a bunch of other companies so far with pretty broad acceptance. And, Claude basically doing something or Anthropic doing something pretty similar.
Jordan Metzner [13:25]: And then even in the same news, here it says Perplexity is launching a new model called model council for all Perplexity Max users. Model count console mode. Council mode will let you delegate to a swarm of frontier reasoning LLMs. Will they work asynchronously, have a chair LLM synthesize, and more accurate answers considering multiple perspectives. So, this is, I think, what the biggest change we've seen since we've recorded this podcast till now.
