Learning Brief — 2026-09-16

What we covered

• AI news: AI & Tech Developments
• PM news: From Product Talk (Teresa Torres): 4 New Evals and 16 Experiment Variants to Fix 1 Customer Complaint
• PM learning: From Product Talk (Teresa Torres): 4 New Evals and 16 Experiment Variants to Fix 1 Customer Complaint

Mental model

Make the next experiment small enough to learn quickly.

Summary

TechCrunch — AI: After accusations of selling ‘perv glasses,’ Meta prepares to sell a pair without a camera. Can Meta dodge the "pervert glasses" accusations with a new camera-free product? TechCrunch — AI: AI labs want in-house auditors — but maybe they should shut the front door first. There may be a simpler and more effective fix for rogue agents, hiding in plain sight. ZDNet — AI: I recommend you don’t run these appliances on your power station – even if you can. Using a power station for backup is ideal, but not with these appliances. The Verge — AI: Apple might make servers again to cash in on the AI rush. According to The Information, Apple is planning to get back into the server game and might just pair up with Nvidia to make it happen. Apple retired its Xserve line in 2011 and has largely left enterprise machines to other manufacturers since. But the growing demand for compute power as the AI indus TechCrunch — AI: Your AI agents can now control your Google Home devices. Google is launching early access to a new MCP server for Google Home, allowing AI agents like Claude, ChatGPT, and others to control connected devices, review camera summaries, and access smart home activity using natural language. The Verge — AI: Google will now let any AI agent run your smart home. Google is opening up its smart home to AI agents, letting tools like Claude and Open Claw access and control your connected devices and analyze your home's data using the standardized Model Context Protocol. Google Home MCP is a new integration that lets third-party AI agents control and monitor you

Today's PM news comes from Product Talk (Teresa Torres). The story is 4 New Evals and 16 Experiment Variants to Fix 1 Customer Complaint. 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 Product Talk (Teresa Torres). The core idea is 4 New Evals and 16 Experiment Variants to Fix 1 Customer Complaint. 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.