100%! I’ve been seeing zero sum tension across my timeline. Structural biologists vs computational scientists. Big company vs biotech. Research vs industry This is a collective win! While far from perfect it opens up a world of research & discovery heretofore inaccessible.https://twitter.com/sbarnettARK/status/1333916174401363968 …
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Replying to @zavaindar
The important structural bet here is deepmind’s willingness to benchmark their work against established industrial benchmarks. Huge amounts of the ML/biopharm tension comes from refusing to either comply with established benchmarking, or explain why novel ones are necessary
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Replying to @WillManidis
Sure but given this came via CASP I don’t understand the default position taken by so many. I’m less so worried about Deepmind benchmarking this against well accepted benchmarks. More so worried about if this will be released and/or open sourced. And who gets access when & how.
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This is also an odd case where another firm replicating (sidestepping the access problem) is gated by engineering effort not compute effort (which imo, is pretty modest here compared to ex. recent nlp) exact opposite of the gpt3 problem
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