TLDR 2026-10-28

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Anthropic's prospectus claims the biggest risks to its business are risks the business poses to everyone else. All other human enterprise will be eaten by Claude, so you might as well own some of it. The company's governance structure is exactly what you would expect for a company worried about existential AI risks. However, it is also the same governance structure for a startup that wants to raise a lot of outside capital without losing control.

The iMac and the entry-level 14-inch MacBook Pro are both getting the M6 chip. The iMac will have two variants of the M6 chip, one with a 10-core CPU and a 10-core GPU, while the other will have 12 cores for each. The MacBook Pro will only have the 12-core option. Both computers will have the N1 chip for wireless connectivity, which means they will have Wi-Fi 7 and Bluetooth 6. Pre-orders will start on October 28, and they will start shipping on November 6.

Reflect Orbital is a US-based startup that plans to erect thousands of giant mirrors in space to reflect sunlight onto the Earth during night-time. The Federal Communications Commission has approved the startup's proposal to launch an initial demonstration satellite next year. The test will reflect sunlight in 3-mile-wide beams in strengths from moonlight up to the brightness of the Sun at noon. While the technology could be helpful for search-and-rescue operations, among other applications, critics say that it threatens a harmful change to the separation of night and day, with a huge number of unresolved questions and significant potential impacts.

Researchers based in China have collaborated to create a tool that can take natural language prompts and use them to produce proteins with specified functions. This could enable anyone to design proteins - if they have a lab that can sort the good designs from the failures. The model's success rate is not great, but it can still get the job done. The tool likely won't remove the need for biologists, but it could help accelerate research.

Datadog's 2026 toolkit provides instant access to resources for building, shipping, and observing AI-powered applications with confidence. Product breakdowns reveal how to achieve end-to-end delivery metrics + faster, cleaner pipelines. An eBook explores how to monitor LLM applications, agents, and retrieval pipelines in production. An On-Demand Webinar covers best practices for modern software delivery. Get the toolkit.

The coding interview was never popular, and AI is likely going to make it go away for good. Impact is now less bounded by years of accumulated knowledge. Fresh eyes have long been considered powerful, as newcomers often see things old-timers miss. Look for candidates with prototypes that exhibit taste, empathy, and principled thinking.

Hallmark is an anti-AI-slop design skill for Claude Code, Cursor, Codex, and OpenCode. It contains fifty themes and 755 openly licensed photos. Hallmark can create custom pages from prompts or real products, and users can redesign and audit pages. Each generated page is self-contained HTML and CSS.

Amazon has released a memo to staff saying that token usage and code generation should be considered with care and judgment. The company has not instituted caps on employees' token usage, but it has acknowledged that metrics like token usage, the rate of adoption of AI tools, and code changes or reviews remain deeply flawed ways of measuring AI usage, and that they can lead to higher costs and too much complexity. The company is now looking at how many launches it is doing and how many successful changes it is making in production to measure how AI is improving engineer productivity.

Ivan Vendrov worked at Anthropic between October 2022 and May 2023. This post shares the most salient parts of his experience. Anthropic has since grown into a massive organization.

While 79% of developers give AI agents cloud access, 97% cited concerns about the security implications. Get the report

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Broadcom's CEO agreed to protect banks from losses in case Anthropic defaulted on the loans.

Large language models allow developers to write small, purpose-built software.

You need to know just enough when something is wrong, and be willing and able to dive deep when needed.

Some users are concerned about exposing conversations to audiences far beyond their original context, and that their conversations may be used to train AI models.

AI can change what someone will pay you to do a task.

A 1 gigawatt facility loses money in 98% of simulated outcomes at today's build costs and rental rates.