Cavendish Labs

Working towards a flourishing future

[Mario Krenn @MarioKrenn6240]

The number of papers in AI&ML grows exponentially, doubling every 23 months. 😳🤨

How can we keep up in this exploding field? Or find new interesting ideas?🔥

📣Today in @NatMachIntell we show how to predict (& hopefully suggest) new research directions:
https://t.co/XrntBvRkBA

[Quintin Pope @QuintinPope5]

Deeply honored to have received a first place prize in the 2023 AI Worldviews contest for https://t.co/vBtNzE1QhQ

[Dyusha Gritsevskiy @dyushag]

Come work with us on AI alignment and pandemic prevention amidst the gorgeous autumn mountains of Vermont:)

[Aaron Bergman 🔍 @AaronBergman18]

A dark horse takes the lead

[Walter Thurnherr @WThurnherr]

Predicting the future of AI with AI, ⁦@cavendish_labs⁩ https://t.co/T0JKlgC0MM

[Arjun Panickssery @panickssery]

Cavendish Labs is a new x-risk research lab recruiting their first round of fellows for any duration within their 6-month residency in rural Vermont (two hours north of Boston)

Excellent team working variously on AI alignment, ultraviolet light on viruses, LAMP diagnostics, etc

[Ethan Perez @EthanJPerez]

🥉Prompt Injection: Tests for susceptibility to a form of prompt injection attack, where a user inserts new instructions for a prompted LM to follow (disregarding prior instructions from the LM’s deployers). Medium-sized LMs are oddly least susceptible to such attacks.

[Ethan Perez @EthanJPerez]

We’re awarding prizes to 7/48 submissions to the Inverse Scaling Prize Round 2! Tasks show inverse scaling on @AnthropicAI @OpenAI @MetaAI @DeepMind models, often even after training with human feedback. Details at https://t.co/bhgZwMioJi and 🧵 on winners:

[Ethan Perez @EthanJPerez]

Inverse Scaling Prize Update: We got 43 submissions in Round 1 and will award prizes to 4 tasks! These tasks were insightful, diverse, & show approximate inverse scaling on models from @AnthropicAI @OpenAI @MetaAI @DeepMind. Full details at https://t.co/tIZ4RZJSkh, 🧵 on winners: