Being a professional programmer is all about learning new things and keeping up with the changes in technology. Periodically, you have to stop and look around and decide what to learn next.
I've been through a dozen or so phases of my career so far, and at present, I've decided to learn more about PyTorch and LLMs. In this video, I'll explain why, what resources I'm using, how having a coding LLM copilot changes the process, how advice I got decades ago makes working with Github CoPilot much more efficient, and thoughts on the future of programming languages.
Also some thoughts on how web searching is changing for me (much to the better), how that's impacting my thinking on AI (with help from Steve Jobs) and initial impressions of ChatGPT-4o.
00:00 Introduction
02:36 Various tech I've used (much abandoned)
06:22 How I've decided what to study
07:07 Recommendations here not for working on existing codebases
07:41 Advice I got on being interruptible vs "In the Zone"
10:04 "Literate Programming" is a more formal way of doing it
10:45 Literate Programming technique is perfect for working with CoPilot
11:16 Clarification - this is NOT sponsored - just stuff I really use
11:42 Pros and Cons of using CoPilot/LLM/AI to help you code
14:32 Choice of Programming languages (or lack thereof)
16:32 Programming Languages are tools - don't get attached
16:57 Soon, I expect languages to matter much less
17:56 Resources I'm using to learn PyTorch/LLMs
18:49 How I recommend learning a new language/framework
21:09 My current side project (if you care)
22:28 Coursera course on Machine Learning
22:33 YouTube Channels I'm learning a lot from:
22:43 @3blue1brown
22:58 @AndrejKarpathy
23:14 @borismeinardus
23:46 @ArtemKirsanov
24:06 @MachineLearningStreetTalk
24:34 @Computerphile and @davidbombal (for Dr Mike Pound)
24:55 New Web "Search" with perplexity.ai (not sponsored - I just like it)
25:34 Changing my mindset on Search Agents vs Search Engines
26:17 First impressions of ChatGPT-4o
26:26 ChatGPT-4o vs Perplexity.ai
26:36 ChatGPT-4o multimodal (disappointing, but at least it's fast)
27:45 Wrap up
Links to resources from video:
# interruptible programmer
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# Literate Programming
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# Sprint Internet Project I was on (If you're curious)
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# Coursera course I'm taking
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# Youtuber resources
# 3Blue1Brown Neural Nets
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# Great channels with learning about LLMs/AI content:
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# Comment on my channel where I learned about Artem Kirsanov:
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# Machine Learning Street Talk interview with Deep Learning Expert:
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# Comment on my channel where I learned about this Machine Learning Street Talk video:
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# Videos from Dr Mike Pound - on two different channels he frequents
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# Search tool I've been using lately (not sponsored):
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# Source for Steve Jobs Quote
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