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Miles Brundage

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21 Nov, 9 tweets, 3 min read

Lady Gaga as diagrams about AI systems (thread).

AlphaGo.

Watson.

OpenAI Five.

DQN.

Inception v1.

AlphaGo Zero.

Transformers.

P.S. The AlphaGo one may be AlphaGo Zero too actually, got it from Google Images quickly. One could definitely do this better with more time.

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Miles Brundage

@Miles_Brundage

22 Jun 19

@seb_ruder

I've been thinking a bit about the growing practice of fine-tuning generic pretrained models: first in computer vision, now NLP (highly recommend @seb_ruder's great article on this ruder.io/nlp-imagenet/)...Last time I mentioned this, people were skeptical that RL would be next.

E.g. folks pointed out that RL is maybe the wrong level/domain of analysis, and maybe there is insufficient commonality across RL tasks people care about for this to make sense, etc... But in any case, I suspect more will happen in this vein beyond vision and NLP.

The simplest extrapolation would just be that, just as vision and NLP gradually matured to a point of being super commercially/creatively/etc. relevant over the course of many years, multimodal stuff combining vision+NLP might eventually reach that point + follow a similar path.

Read 5 tweets

Miles Brundage

@Miles_Brundage

5 Jul 18

Reading the old AI literature is underrated. Will share some fun examples when I’m at my computer later...

One quick example that’s easy to do by phone - “Steps Toward Artificial Intelligence,” Minsky, 1960: courses.csail.mit.edu/6.803/pdf/step…

Remarkable how the taxonomy of research areas roughly resembles today - learning, planning, etc at high level, lower stuff like exploration/hierarchy, etc

Makes you think progress would have been vastly faster if those folks had today’s compute to try all this stuff out.

Read 18 tweets

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