Links about AI - first level curation

The first rule of machine learning: Do not start with machine learning. Unfortunately, to a hammer, everything looks like a nail. Whenever I get a call from a company to help them, they have already made their mind up: they want to use machine learning. It's always tempting to start the conversation there. Yet, machine learning is usually not th... See more

IMO @AnthropicAI is very close to making a breakthrough in productizable interpretability. For ~4 years all we've had to really control LLMs is temperature/top_p and logit bias. We recently got `seed` and constrained structured output, with `interactive=false` on the way. But now Claude Sonnet can let people clamp up/down 34 million features rang... See more

Proposing Ctrl-G, a neurosymbolic framework that enables arbitrary LLMs to follow logical constraints (length control, infilling …) with 100% guarantees. Ctrl-G beats GPT4 on the task of text editing by >30% higher satisfaction rate in human eval. https://t.co/U6oz3bc935

Really like how accessible but also thoughtful this book is. Instead of jumping into the mechanics of ChatGPT (that it gets to) the first part of the book is about the evolution of neural nets (and deep learning), limitations and the concept of computational irreducibility. https://t.co/gPIvaz7wcf

Hope springs eternal & inspiration runs deep.✨ ⿻Plurality is my passion & now it’s my mission.🎯 Read @henshall_will's take on my life & @TIMEs, post-@TAIWANmoda plans & new role as a defender of global democracy.🌍 Let’s #FreeTheFuture🖖 — together! https://t.co/4WNIktOFHk