Future of AI: what happens after DeepSeek? (No One knows - but I have a guess)
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DeepSeek was a wakeup call for the U.S. AI Industry, and more importantly, all the people pumping Billions of dollars into it, hoping they'll make their money back. Now what? NOTE: I spend 48 seconds (152 words) of this 20+ minute video giving an oversimplified version of DeepSeek internals that I said was oversimplified. I kinda now wish I hadn't at all, because a bunch of people are nitpicking it. If you are looking for approachable DeepSeek inner workings, see this video from Dr Mike Pound @Computerphile : https://www.youtube.com/watch?v=gY4Z-9QlZ64 More information in this week's issue of new (free) newsletter: https://iob.fyi/news 00:00 Intro 01:43 The seven things currently in play 03:29 Channel Intro and Note 04:03 What to take away from this video 04:51 The BIG question 05:21 My take 08:20 The forces at work here 09:05 One of three things will happen 11:16 Where does DeepSeek fit in? 11:37 REALLY OVERSIMPLIFYING "MoE" and "Distillation" 12:23 DeepSeek's Costs (& Controversy) 13:12 Why didn't the U.S. folks build a DeepSeek? 14:09 The practical question: what now? 17:01 Open questions too early to answer 17:39 What should software devs focus on? 19:13 What if that sounds exhausting to you? 20:07 Wrap-up Corrections: 11:37 REALLY Oversimplified. This is not a DeepSeek Explainer Video. 11:53 AGAIN: REALLY Oversimplified Reverences: # Failed Project to map the human brain https://www.technologyreview.com/2021/08/25/1032133/big-science-human-brain-failure/ # Video from @NobodySpecialFinance on GPUs in China: https://www.youtube.com/watch?v=ImWJN9WBqDw
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