Cavendish Labs (@cavendish_labs) 's Twitter Profile
Cavendish Labs

@cavendish_labs

Working towards a flourishing future

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linkhttps://cavendishlabs.org calendar_today08-09-2020 22:51:47

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Ethan Perez (@ethanjperez) 's Twitter Profile Photo

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 Anthropic OpenAI @MetaAI @DeepMind. Full details at irmckenzie.co.uk/round1, 🧵 on winners:

Ethan Perez (@ethanjperez) 's Twitter Profile Photo

We’re awarding prizes to 7/48 submissions to the Inverse Scaling Prize Round 2! Tasks show inverse scaling on Anthropic OpenAI AI at Meta @DeepMind models, often even after training with human feedback. Details at irmckenzie.co.uk/round2 and 🧵 on winners:

Ethan Perez (@ethanjperez) 's Twitter Profile Photo

🥉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.

🥉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.
Arjun Panickssery (@panickssery) 's Twitter Profile Photo

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

Mario Krenn (@mariokrenn6240) 's Twitter Profile Photo

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 Nature Machine Intelligence we show how to predict (& hopefully suggest) new research directions: nature.com/articles/s4225…

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 <a href="/NatMachIntell/">Nature Machine Intelligence</a> we show how to predict (&amp; hopefully suggest) new research directions:
nature.com/articles/s4225…