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
I don’t know if this is just hindsight, but tracr has in no way turned out to be safety relevant. Was it considered to be so at the time of commenting?
I’ve retracted the comment as no longer endorsed, thank you.
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
I don’t know if this is just hindsight, but tracr has in no way turned out to be safety relevant. Was it considered to be so at the time of commenting?
I’ve retracted the comment as no longer endorsed, thank you.