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THE DAILY INDEX

Technology, AI, software, security, crypto and business

Across today’s newsletters

Today’s Index

IMPLOSION IS EVEN BETTER

FTX's founder, Sam Bankman-Fried, is the focus of several charges leveled by federal prosecutors. These include money laundering, bribery, and orchestrating a fraudulent scheme that resulted in the multibillion-dollar misappropriation of customer money. Bankman-Fried has pleaded not guilty. Michael Lewis was originally planning to just check out Bankman-Fried as a favor to his friend in the fall of 2021, but he ended up receiving a front-row seat to the scandal. His book about Bankman-Fried is set to be released on October 3.

IMPLOSION IS EVEN BETTER.

As was reported last year, Michael Lewis is releasing a book about the rise and fall of Sam Bankman-Fried, the founder of FTX, one of the largest cryptocurrency exchanges. Titled "Going Infinite: The Rise and Fall of a New Tycoon," the book recounts how Lewis, initially introduced to Bankman-Fried by a friend, became an observer of an unfolding scandal. FTX faced a spectacular collapse, with Bankman-Fried accused of money laundering, bribery, and fraudulent schemes. Lewis, having shadowed Bankman-Fried for about a year, captured the unfolding events. The book is due to release on October 3.

WHICH AI MODEL SHOULD YOU PICK FOR YOUR STARTUP?

Tomasz Tunguz helps answer a question that many PMs face today: to use a small language model or a large language model? In the realm of AI, the decision between using a certain model is influenced by factors such as time constraints, reliance on external expertise, infrastructure management, ip, data sensitivity, and cost, while the market is still evolving, and managed large-language models currently have an advantage in terms of adoption and revenue.

THE RACE TO BRING GENERATIVE AI TO MOBILE DEVICES

Generative AI may be soon integrated into mobile. The push towards advanced AI in software and services has resulted in increased computing costs for tech companies. Operating generative AI on mobile devices could resolve one of the main economical issues with the technology. Most of the work on tailoring models to handsets is still at an experimental stage, so it is too early to see whether these efforts will lead to truly useful mobile applications.

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