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THE DAILY INDEX

Technology, AI, software, security, crypto and business

GENERAL

TLDR

APPLE REFRESHES THE IMAC, ENTRY-LEVEL MACBOOK PRO WITH THE M6 CHIP

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.

ANTHROPIC RAISES CONCERNS

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.

VIBE GENES? NATURAL(ISH) LANGUAGE COMES TO PROTEIN, GENOME DESIGN SOFTWARE

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.

AMAZON'S ANTI-TOKENMAXXING MEMO SAYS ENGINEERS SHOULD BE PICKIER ABOUT USING AI

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.

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