Daily Edition · Page 1

THE DAILY INDEX

Technology, AI, software, security, crypto and business

Across today’s newsletters

Today’s Index

OPENAI IS GROWING FAST AND BURNING THROUGH PILES OF MONEY

OpenAI's monthly revenue hit $300 million in August and it expects about $3.7 billion in annual sales this year. However, it expects to lose roughly $5 billion after paying for costs related to running its services. There will also be other costs such as equity-based compensation to employees. Its biggest cost is the computing power it gets through a partnership with Microsoft. OpenAI plans to raise ChatGPT Plus to $44 over the next five years.

EVERYTHING YOU NEED TO KNOW ABOUT PYTHON 3.13 – JIT AND GIL WENT UP THE HILL

Python 3.13 (officially releasing on October 1) introduces two major changes: a "free-threaded" version that allows disabling the Global Interpreter Lock (GIL), potentially boosting multi-threaded performance, and experimental Just-in-Time (JIT) compilation, which could improve performance over time. The GIL removal addresses Python's limitations in fully utilizing multi-core processors, while the JIT compiler promises to optimize code execution by generating machine code on the fly.

SPACEX LAUNCHES RESCUE MISSION TO RETURN STRANDED ASTRONAUTS

A SpaceX Falcon 9 rocket took off on Saturday with NASA astronaut Nick Hague and Russian cosmonaut Alexander Gorbunov on board. The mission has two empty seats to return Butch Wilmore and Suni Williams, who have been stranded for months on the International Space Station. Their stay was only supposed to last 8 days, but a problem with Boeing's Starliner's propulsion system prevented their return. Their total stay will end up lasting 8 months.

GOOGLE UNVEILS ALPHACHIP AI-ASSISTED CHIP DESIGN TECHNOLOGY — CHIP LAYOUT AS A GAME FOR A COMPUTER

Google's AlphaChip reinforcement learning method for designing chip layouts promises to substantially speed up the design of chip floorplans and make them more optimal in terms of performance, power, and area. The method has been instrumental in designing Google's Tensor Processing Units. Its success has inspired a wave of new research into using AI for different stages of chip design. The method has been shared with the public - a link to the repository is available in the article.

TLDR IndexPage 1