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THE DAILY INDEX

Technology, AI, software, security, crypto and business

Across today’s newsletters

Today’s Index

APPLE SPENDING “MILLIONS OF DOLLARS A DAY” ON DEVELOPING CONVERSATIONAL AI AS IT SEEKS TO MASSIVELY IMPROVE SIRI

Apple is reportedly spending millions of dollars a day on AI product research with the goal of creating a Siri that can automate tasks involving multiple steps. Most of the budget is dedicated to model training, which requires a lot of expensive hardware. The company has been working on large language models for four years, but it is unclear what it has achieved with its multi-year lead. Apple's internal chatbot apparently boasts greater capabilities than OpenAI's GPT-3.5 model, but is less intelligent than GPT-4.

SUCCESSION MESS

This article tells the inside story of the transition between CEOs for Disney over the last few years. Bob Iger announced that he would step down as Disney's CEO in February 2020, picking Bob Chapek as his successor. Iger's plan would have him stay at the company as an executive chairman for 22 months. Chapek was fired in November 2022 and Iger became CEO again, with an extended contract through to 2026. Chapek says that his tenure at Disney was 'three years of hell'.

WEIGHT-LOSS DRUGS OZEMPIC AND WEGOVY ALSO PROTECT YOUR HEART

Semiglutide was originally developed to treat type 2 diabetes. It may also reduce heart failure and provide more general cardiovascular benefits. Weekly injections of the drug can reduce the risk of stroke and heart attack by 20%. While scientists don't entirely know how the drug works, studies show that it may have many other uses, such as in reducing alcohol consumption. The manufacturer that produces the drug plans to seek regulatory approval in the US and Europe for more uses.

COPILOT

This article discusses how to build and scale applications that use large language models. It took GitHub three years to develop GitHub Copilot from idea to production. The team used a three-stage plan for development: they identified an impactful problem space for their LLM application, created a smooth AI product experience, and then got the application ready and usable for general availability. Further resources on developing LLM applications are provided at the end of the article.

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