winstonp

Their free tier for stuff like Workers and D1 is quite generous.

The only additional note I'd have to add is Tomlin was one of the NFL's rare "CEO" coaches - he doesn't call plays for either side of the ball, so he probably is ever so slightly less busy than a head coach who happens to do so.

the codex desktop app bundles libreoffice's libraries. i wouldn't be surprised if claude does something similar.

the salary weighted lottery today is a good step in the right direction IMO.

It's the perfect model for open-source work because it's gonna end up in the training data anyway

I think it's overbloating my computer

It's a habit in specific countries, China is one in my experience.

Cursor was 60B. The 10B number was the breakup fee if the deal fell through.

16 tokens / s is not nothing.

Apple isn't counting on their model to be a frontier coding and cowork model. Gemini is perfectly fine for the tasks that new Siri is supposed to be doing.

That is not the Grok CLI being discussed. That's an open source, third party CLI. https://x.ai/cli is the official Grok CLI being discussed, and it is not open source.

The avg coding session has hundreds or thousands of tool calls. Even a 5% failure rate noticeably notches up token use and cost. See Gemini.

Doubt. Tried it, Grok 4.5 is leaps and bounds ahead of Gemini for real work.

And token costs vs. raw compute+electric cost is unit profitable too.

While I mostly agree with your post, I do want to point out one thing:

> Or he could release a model trained largely by existing open weights models. Which without some huge breakthrough probably has no chance of surpassing them, so is pointless.

This seems to be categorically untrue. Composer 2.5 is a substantial improvement on its underlying Kimi base model.

same happened to Opus 4.7

the British are notoriously sensitive to heat. They'll call 30 Celsius weather a heat wave.

do we think he found it on craigslist

Gemini pretty clearly has the best underlying model, and the worst RL and post-training of the lot.

It is ridiculous to be building infrastructure with a seventy five year lifespan under an assumption that may never come in its entire life.

Car apps, beside Tesla, are universally awful to use. Even Tesla's is not beyond reproach (app size is massive, for one), but at least it doesn't make me want to poke my eyes out. Apple should make a "Cars" app that's like the "Watch" app and let them standardize.

They are absolutely clueless about how to talk to this administration.

CC TUI is often a culprit of memory leaks, image-pasting is a nightmare, particularly over SSH, flickering all over the UI, among others.

You can!

You just have to pay API prices.

google models are still very unreliable at actually calling the tools you want it to call.

I don't believe Anthropic trains on Trainium, only serves models on it.

Claude Code TUI is garbage. There's nothing worth protecting in there.

I do think Anthropic nailed their naming down much better than OpenAI

OpenAI's training is better suited to developing models that don't have these tendencies

I've never had a smelly Mac, and I've owned maybe 10 different ones across personal and various work laptops. And 90% of devs I've ever met have used Macs and none of them smell either, so it's zero out of maybe 200+ in my personal experience.

Google Search has been awful for the last couple of years. Good riddance to SEO.