robeym

No... U.S. government ban and supply-chain blacklisting

A year ago I was trying to have these models write css for me to support mobile styles for an ERP system. There were so many quirks that you typically have with css, and it couldn't figure out how to properly get it done. I'd ask it to fix something and it'd break something else - pretty much as good as any average developer is with css.

Out of curiosity, I tried the same project yesterday with OpenAI's newest model, and it had 0 issues. It seems to have a much deeper understanding of how global styles and local styles work across different modules.

It's fun seeing how even a year ago these models seemed so capable to us, and yet they're still improving greatly. I'm still not using Anthropic. I used to change back and fourth periodically as the models would surpass each other, and get the most expensive plans, but I've settled and am happy with the capabilities of the lowest tier subscriptions now because they've progressed much faster than I've had use for them. Maybe I've gotten more efficient with language and instructing the model since a year ago. Still, it's been a fun ride and I'm excited to see what else we can do with these models as time goes on.

The easiest solution is to make an empty alias account on twitter just for the purpose of accessing links. I use an email address for this. [email protected]. it forwards all emails to the address right to spam, it's great! No cease and desist letters from Mr. musk , yet !

I think the entire purpose of the acquisition was just to buy a chunk of the market for their own models. Curious to see if Musk responds.

Benchmarks and cost don't really help me understand how good a model actually is. Anyone have hands on experience working with the current newest models? What work did you do, and how did the model performance ?

So I'm guessing as a result of this, FAANG and similar companies are going to have free access while the little guy will be left out.

Is there any concrete information on whether this would be an application process or perhaps for companies that meet certain criteria?

I'm on 0.139.0 on Linux and my visible ~/.codex/logs are only about 129 MB.

This makes me even more conservative on upgrading these tools every time they prompt me to. Better to let them get a few miles on them and see how the community responds.

In this case it sounds like 0.142.0 reduced the issue but didn't fully settle it. I'll wait for 0.143.0+ and see if that version is more acceptable.

My opinion is that the publicity can only help Cursor. I don't necessarily think SpaceX would make Cursor better. Copilot (which I view as a direct competitor to Cursor) has a huge structural advantage. I have several friends in various American companies where Microsoft products are all they are allowed to use. They get "free" Copilot access as a part of their Microsoft plans. Developers aren't having Cursor placed right in front of them in the same way Copilot is, and from my experience, when developers have the choice to pick one, they pick Cursor. So, I just feel the SpaceX/xAI publicity could help Cursor get more visibility in these general American software companies more so than they could on their own.

Cursor was my first hands-on experience with AI. I didn't know much about getting set up with specific providers via API, and Cursor made it easy to pick any model, ask a question about some code, and get a clear suggested answer easily viewable in the IDE with an 'accept' or 'reject' button. I think they answered this question well: "How do normal developers want to interact with AI?"

I moved away from Cursor when I noticed the responses from specific models were not as clean or accurate as when I'd prompt the models directly, which was something I didn't know how to do early on. I hypothesized that they had some boilerplate prompt sitting atop of my own, causing less precise or desirable results.

I would assume Cursor is still one of the best options for normal developers to get started with AI, but with Copilot forcing their foot in the door at many companies, I wasn't sure how well it would fare on its own. Being acquired by SpaceX should help, and I'll be interested to follow along and see how things develop.

Great post. It was an amusing read, and quite the discovery! Good work, and great job documenting it.

Unfortunate to see AI police as top comment on a good amusing post!

Given how easy it was to get our own version of an AI service tool set up, I'm shocked to see a huge, capable company buying it's way into that functionality as opposed to using their large existing datasets to fine-tune an internal tool. Is 3.6B really the better option?