Pros:
deepmind/tracr (github.com) is highly safety-relevant (Neel Nanda even contributed to making it python 3.8 compatible).
Cons:
They’re working with Google Brain on Gemini (GPT-4 competitor), Demis Hassabis said they’re scaling up Gato (DeepMind) - Wikipedia, [2209.07550] Human-level Atari 200x faster (arxiv.org) was on my top 15 capabilities papers from last year, DeepMind Adaptive Agent: Results Reel—YouTube is a big deal, AlphaFold 2′s successor could lead to bioweapons, AlphaCode’s successor could lead to recursive self-improvement in the limit.
Neutral:
They rejected my application without an interview, so they still have standards :D
Pros:
deepmind/tracr (github.com) is highly safety-relevant (Neel Nanda even contributed to making it python 3.8 compatible).
Cons:
They’re working with Google Brain on Gemini (GPT-4 competitor), Demis Hassabis said they’re scaling up Gato (DeepMind) - Wikipedia, [2209.07550] Human-level Atari 200x faster (arxiv.org) was on my top 15 capabilities papers from last year, DeepMind Adaptive Agent: Results Reel—YouTube is a big deal, AlphaFold 2′s successor could lead to bioweapons, AlphaCode’s successor could lead to recursive self-improvement in the limit.
Neutral:
They rejected my application without an interview, so they still have standards :D