Learning Brief — 2026-09-30

What we covered

• AI news: AI & Tech Developments
• PM news: From Lenny's Newsletter: OpenAI Dev Day 2026: The releases that actually matter
• PM learning: From Lenny's Newsletter: OpenAI Dev Day 2026: The releases that actually matter

Mental model

Make the next experiment small enough to learn quickly.

Summary

TechCrunch — AI: OpenAI’s Jev clone could help the frontier lab stop its swarming agents. OpenAI's "Decisions API" is a Jev clone that confirms the importance of fast, cheap intelligence. TechCrunch — AI: AI voice startup ElevenLabs doubles valuation to $22B. The $300 million employee tender was co-led by Wellington and T. Rowe Price. The Verge — AI: 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 ZDNet — AI: openSUSE Leap adds a new security layer: Immutable mode. One of the more secure Linux distributions has added another feature to help further lock it down. TechCrunch — AI: Reddit is killing RSS feeds and ending public API access because of AI bots. Reddit is ending support for RSS feeds, as the company continues tightening access to its trove of user-generated content. TechCrunch — AI: The ugly economics of consumer AI. There’s a reason frontier labs have gotten gun-shy about consumer AI — and it’s not because the tech isn’t good enough.

Today's PM news comes from Lenny's Newsletter. The story is OpenAI Dev Day 2026: The releases that actually matter. For a senior PM, the key takeaway is to watch how product decisions and strategy plays out in practice — not just the headline, but the reasoning behind it.

Today's PM learning comes from Lenny's Newsletter. The core idea is OpenAI Dev Day 2026: The releases that actually matter. What matters for a senior PM is translating the idea into a repeatable habit: define the user problem clearly, pick a metric that actually reflects value, identify the riskiest assumption, and make the next experiment small enough to learn quickly. Good PM content is rarely magic. It is usually disciplined prioritisation dressed up in nicer prose.