Learning Brief — 2026-09-03

What we covered

• AI news: AI & Tech Developments
• PM news: From Lenny's Newsletter: GPT-6 Astra is a banger - here’s everything I’ve built
• PM learning: From Lenny's Newsletter: GPT-6 Astra is a banger - here’s everything I’ve built

Mental model

Make the next experiment small enough to learn quickly.

Summary

Ars Technica — Technology Lab: Confused about which VPN is right, US senator asks the NSA for guidance. Open source, commercial, single-hop, multi-hop, mixnet? The array of options is dizzying. TechCrunch — AI: Accel reportedly in talks to lead $1B round for Thinking Machines at $40B valuation. The high-profile startup's annual revenue run rate stands at over $100 million. Ars Technica — Technology Lab: VMware migration reduces Tottenham Hotspur's licensing fees by 85 percent. Pro soccer team's CTO points to "issues with the Broadcom takeover." TechCrunch — AI: Abliteration.ai is making a business out of removing AI guardrails. Abliteration.AI is making powerful AI models without guardrails easier to access, arguing that giving defenders the same tools as bad actors could ultimately improve cybersecurity. TechCrunch — AI: Meta is paying to peek at how you use their latest AI model. For its new Muse Spark model, intended for operating coding and other agents, Meta is offering an explicit discount averaging out to about 95% for users who "contribute" to the development of future models by sharing their prompts and model outputs. TechCrunch — AI: OpenAI launches Astra, its powerful (and controversial) new model. OpenAI claims that Astra represents "a new frontier on computer and browser use," and that it handles tasks with unmatched "speed, accuracy, and safety."

Today's PM news comes from Lenny's Newsletter. The story is GPT-6 Astra is a banger - here’s everything I’ve built. 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 GPT-6 Astra is a banger - here’s everything I’ve built. 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.