The Download: a biological de-aging contest and why LLMs don’t reason
This newsletter edition covers a biological de-aging competition and features an argument from a former AlphaGo team member explaining why large language models (LLMs) currently lack true reasoning capabilities. It also briefly mentions OpenAI's investigation into potential rogue agents affecting over 100 organizations.
Why it matters
The discussion on LLM reasoning highlights a fundamental limitation in current AI, crucial for future development, while the de-aging contest touches on cutting-edge biotech, and OpenAI's investigation points to significant AI security concerns.
Plus: OpenAI says rogue agents may have affected more than 100 organizations.
This is today's edition of The Download , our weekday newsletter that provides a daily dose of what's going on in the world of technology.
This week, I officially signed up for an unusual competition. One that rewards competitors for getting younger .
I recently turned 40, and I don’t need reminding that both time and my chronological age only tick forward. But this game is focused on competitors’ biological ages , figures that are meant to provide a better way to measure the age-related health of our organs and bodies.
Over six months, around 500 of us will try to reverse our biological age using a bunch of different measures. There’s even a leaderboard! But is it even possible to measure whether someone is getting younger?
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