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Today’s Headlines:

• Google announces powerful new AI chips - Google announced Cloud TPU v5p, their most powerful, scalable, and flexible AI accelerator thus far. Additionally, they announced AI Hypercomputer from Google Cloud, a groundbreaking supercomputer architecture that employs an integrated system of performance-optimized hardware, open software, leading ML frameworks, and flexible consumption models.

• AMD releases new chips to power faster AI training - AMD announced its MI300 chips, and its Ryzen 8040 mobile processors will be in laptops by 2024.

• Sam Altman was named TIME’s CEO of the year - Altman emerged as one of the most powerful and venerated executives in the world, the public face and leading prophet of a technological revolution.

• Apple joins AI fray with release of model framework - Apple’s machine learning research team quietly releases a framework called MLX to build foundation models.

• ChatGPT tool could be abused by scammers and hackers - A ChatGPT feature allowing users to easily build their own artificial-intelligence assistants can be used to create tools for cyber-crime, a BBC News investigation has revealed.

• Meta's new image generator - Called "Imagine", you can describe an image for Meta AI to generate.

• Meta's full list of new AI releases - To close out the year, Meta announced more than 20 new ways generative AI can improve your experiences across Facebook, Instagram, Messenger, and WhatsApp — spanning search, social discovery, ads, business messaging and more.

• A Google AI has discovered 2.2m materials unknown to science - Zillions of possible crystals exist. AI can help catalogue them. Crystals can serve as the light-harvesting layer in a solar panel, catalyze industrial reactions to make things like ammonia and nitric acid, and form the silicon used in microchips.

• McDonald's uses AI to aid workers - Along with updates to other systems including ordering kiosks and the company’s mobile app, McDonald’s will be able to use generative AI on massive amounts of data to optimize operations starting in 2024.

• Long context prompting for Claude 2.1 - Claude 2.1 recalls information very well across its 200,000 token context window. However, the model can be reluctant to answer questions based on an individual sentence in a document, especially if that sentence has been injected or is out of place. A minor prompting edit removes this reluctance and results in excellent performance on these tasks.

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