joelthelion

As a vim user, I feel neovim was useful for one thing: it shaked regular vim development a bit. That said, I see no reason to switch. Good old vim is rock solid and featureful. I hope it doesn't die due to neovim's competition.

They seem to be better at solving concrete problems than designing new things (at least for now)

Could the Chinese mission just take the US samples without the US's permission?

I've been wondering about this for a while. Maybe it doesn't work? Or maybe frontier labs just prioritize benchmark scores in spite of all their safety talk.

> Providers probably serve quantized versions without disclosing it

It should be OpenRouter's responsibility to protect you against it, by regularly benchmarking providers and giving you the control to avoid bad providers. In fact, that's a big opportunity for them, since it justifies their place as a middleman between users and inference providers.

Excellent post, thanks for the article. This is very relevant for anyone using openrouter and similar services seriously.

I feel there is still a lot of progress to be made before we can really trust LLM providers.

Why are the lamp posts blinking in a weird way?

Is GitHub really better? If you're a small project, you could always migrate to something else if this guy disappoints.

That's exactly what I meant . LeelaKnightOdds is specifically trained for that, and it makes a world of difference.

One issue is that models are only one part of the equation. Search is also extremely important, and for that you pretty much have to depend on a third-party service.

Is there an equivalent of LeelaKnightOdds for Go? That might be harder to tackle.

This is very cool, and at the same time, this is how they plan to lock people in. The moat isn't really in the models, it's in their users and how much they are invested in their ecosystem.

Once you have started working seriously with these tools, it stops being so easy to switch. What are the open-source alternatives to this? How usable are they for non-technical users?

Another comment I have about this is that unfortunately, there is always an LLM in the loop for each prompt. I feel LLMs should automate themselves away, meaning that for repetitive tasks, user prompts should go directly to deterministic, previously built scripts. This would be both a better user experience (more predictable), and a lot cheaper to operate.

> calculating the volume of a prism-like polytope between it and its projection

There is the key insight that you don't need to explicitly compute this projection.

As long as the weights are open, who cares? You can rely on someone else for inference.

No offense but your title is not informative at all.

High blood glucose causes a host of bad health issues even in non-diabetic people: visceral fat, liver fat, inflammation, cardiac disease... You don't need to wait to be diabetic to embrace good dietary habits, and a glucose monitor would go a long way helping people make that transition.

I imagine they plan to rely on debt, which is the fashionable thing to do these days.

The wake up call might be difficult, for the whole country or even the whole world.

Preventive medicine is a bit one. If your fitness watch could measure blood glucose, I think it would be a ton more impactful in terms of health outcomes.

I'm pretty sure there is a lot of code in Android that belongs to Google and is not part of an upstream GPL project. They would be completely entitled to stop sharing it.

This should be a golden opportunity for hackers like us to keep rebuilding this stuff and get bought.

A huge waste and completely demoralizing though.

You can reuse the app indefinitely, for cheap, and predictably. I would say these are huge advantages.

I would say the tooling plays a part. Where are the go-to open source solution that a beginner can turn to without too much research?

At this stage, it's easier to block them with uBlock and move on.

I don't have a lot of confidence for legislative solutions. Although I admire people who keep trying.

> The real value is and going to be in hardware

Unless someone comes up with a brilliant optimization strategy or new hardware that renders all that inefficient Nvidia crap overnight.

Privacy aside, who wouldn't want their $8,000 cloud device abruptly shut down when Weave Robotics decides to pivot?

Do we have any evidence that Tesla is actually working on manufacturing millions of robots?

I wouldn't be surprised if they had new models up their sleeve. Could be wrong of course.

> is just the next most likely token, taking into account temperature and what not.

This doesn't mean anything. All LLM output is like that.

That said, I agree that LLMs are terrible at grading stuff, except perhaps if you give them a very detailed evaluation grid.

A good moment to switch to an open solution like opencode or pi.

Contrast one regulation vs. thousands of litigations by companies who don't always have the expertise or budget to pursue complex legal procedures.