I use the instant edit feature with directions on exact code changes.

Instant edits feature can surgically perform text edits fast without all the extra fluff or unsolicited enhancements.

I copied shadertoys, asked it to rename all variables to be more descriptive and pasted the result to see it still working. I'm impressed.

I copied a shader toy example, asked it to rename all the variables to be more descriptive and it edited just the variable names. I was able to compile and run in shader toy.

It has some challenges that it needs to solve to do great as a cross platform "general-purpose" programming language.

It's paradoxically high level with its syntax and ergonomics but is tied down to the same cross platform headaches like in low level languages (e.g. cpp). Linking across cross platforms requires lots of careful thought and testing. Unlike cpp, it's not super portable. It requires a hefty 30 MB runtime for some features of the language to work. Try static executable hello world.

That being said, it's possible. You can build cross platform applications with Swift, but you'd still have some of the same kinds of portability issues like in cpp but with nicer syntax and ergonomics.

If that's the case, I would rather give my money to a human driver than just Uber.

I believe that we should explore pretraining video completion models that explicitly have no text pairings. Why? We can train unsupervised like they did for GPT series on the text-internet but instead on YouTube lol. Labeling or augmenting the frames limits scaling the training data.

Imagine using the initial frames or audio to prompt the video completion model. For example, use the initial frames to write out a problem on a white board then watch in output generate the next frames the solution being worked out.

I fear text pairings with CLIP or OCR constrain a model too much and confuse

Comments URL: https://news.ycombinator.com/item?id=41411748

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