Not really. This is an example of something that Claude Code handles very easily and for Github Copilot, is not even an starter (because can't read SQLite files)
>Read the Sqlite file in this directory and create an UX that would visualize and manage the data. The application should be responsive (so it can be use on mobiles) and should have some graphs when appropiate.
It was inspiration, not a simulation nor it claimed to be realistic. This is the type of artistic license that game designers have always had at their disposal.
I am not complaining about how the game works, I am just saying that there are no instructions, so the only thing I have to work with is the name and the inspiration. And if you know how defragmentation works, this all just makes no sense, why does it automatically select blocks, why can I not move them repeatedly and to any free space? Sure, most people do not know what defragmentation is and how it works, even in developer circles I would not expect people to know if they are not old enough to have worked with computers in the 90s, they might hear about this in one computer science lecture and never think about it again.
> Again, I still feel like code is the ideal solution to "ad-hoc reproducible calculations"
I am a developer and I do my personal budgeting on a spreadsheet. It was easier to setup and maintain, and follows my process better than the personal finance software I have used before. Could I have made a little program for this? Sure, but it would be time consuming and I have better projects to spend my time on.
>The argument that this is 90% of what matters in ML seems a bit bold. AFAICT it is completely missing reinforcement learning,
Wouldn't that account for the other 10%? To me it sounds like the quote is not too far off when you consider that he said "of what matters today". There are many other things missing from that list that might become more relevant tomorrow.
> Ignore the critics. Watch the demos. Play with it
With so many smoke and mirrors demos out there, I am not super excited at those videos. I would play with it, but it seems like it is not available in a free tier (I stopped paying OpenAI a while ago after realizing that open models are more than enough for me)
I think the context of iOS is safely implied here. To say you have the option of going Android is as relevant as giving the option of doing a mobile app; Sure it is an option but out of the context of the discussion.
I guess it depends on what you mean by serious. Pre-training a competitive LLM with current methods and consumer hardware is prohibitive for sure. Solving a classification problem could be totally doable depending on the domain.
Fair, I think what makes this case interesting is that he wasn't an athletic outlier for most of his life, so the question on how many dormant athletes are out there remains. Maybe the distribution is not as skew as one might initially think
In theory I have lean athletic build in my forties without trying. But I'm not athletic because I hate suffering. If I live to be 80 and every day is suffering redardless I might move more.
