For the purpose of disclosure, it should say “Warning: AI generated code” in the commit message, not an advertisement for a specific product. You would never accept any of your other tools injecting themselves into a commit message like that.
Right, and when they compare to floating point accuracy they seem to be using the number of decimals supported by the mantissa, but the exponent is important no?
I was excited to try it out so I downloaded the repo and ran the build. However there were 100+ compilation errors. So I checked the commit history on github and saw that for at least several pages back all recent commits had failed in the CI. It was not clear which commit I should pick to get the semi-working version advertised.
I started looking in the Cargo.toml to at least get an idea how the project was constructed. I saw there that rather than being built from scratch as the post seemed to imply that almost every core component was simply pulled in from an open source library. quickjs engine, wgpu graphics, winit windowing & input, egui for ui, html parsing, the list goes on.
On twitter their CEO explicitly stated that it uses a "custom js vm" which seemed particularly misleading / untrue to me.
Integrating all of these existing components is still super impressive for these models to do autonomously, so I'm just at a loss how to feel when it does something impressive but they then feel the need to misrepresent so much. I guess I just have a lot less respect and trust for the cursor leadership, but maybe a little relief knowing that soon I may just generate my own custom cursor!
I haven’t gone through the paper in detail yet but maybe someone can answer.
If you remove the hidden state from an rnn as they say they’ve done, what’s left? An mlp predicting from a single token?