nkozyra

9,644 karmajoined 14 वर्ष पहले

developer, sometimes writer

comments

6 दिन पहलेdiscuss

> But they first need adoption.

I think they've got that. Short of budget stuff or the Slate truck, most new cars have some big dumb screen in them at all times.

But advertising poses a new problem for both advertisers and mfgs not unlike the mid-90s ad sale issue. There was no consolidated ad server, so everyone was trying to build their own agency and advertisers had to navigate that.

Which probably means some sort of Google or Google-like player in the space.

6 दिन पहलेdiscuss

Obviously they read it, but it's 2026 and entirely possible to publish an article without having read a word of it :)

All that said, I think initially it was a mix of a few things coming together.

Yes, auto mfgs always want to reduce parts for cost and supply chain control. But there was also this moment of New Wow where the impractical nature of touchscreens was overshadowed by the holy crap I've got a tablet in my car. It implied a break with the last generation of cars, where you might have gotten a 4-inch screen (touch or not), and it became desirable at a surface level to users.

Although I greatly dislike touchscreens for the obvious usability issues in a motor vehicle, I still kind of widen my eyes when I'm in a car with some new, ridiculous multi-screen dashboard setup.

Mazda was mentioned in this thread, and I think they do a great job of separating the concerns here; you've got a big buttons of various sizes that do different things that can be memorized without sight.

13 दिन पहलेdiscuss

Provide financial incentives to make it worse.

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> Everyone constantly does!

In the aggregate, I agree, but in tech things are pretty loose outside of California.

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It was purely a hype/media play.

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Elon wanted precisely the same model.

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You can't buy the OS directly, but it certainly isn't free.

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I think this is a good point, but it ignores the idea that a human form is not the ideal (or even closet to) one to do specific and generalized jobs.

2 माह पहलेdiscuss

On the one hand I understand this fairly deeply.

I started doing "ML" ~ 20 years ago building classifiers people would laugh at today and even at the time barely impressed people when they were 95% correct.

I moved into NLP and built NERs that missed 2-10% of named entities per document routinely. Best of breed approaches and models rarely fared better.

Learned the cornerstones in school for ML; linear regression, ANNs, traditional RL, image classifiers, A* bots, etc, most of which got baked into transformers later on.

Then the transformers went from interesting novelty to useful. I couldn't build a useful one locally, but the toys versions were still fun to play with.

Then the novelty LLM went from useful to generally applicable. Then they became a silver bullet.

I still can't build one locally. I can distill or build or fine tune if you give me some rented GPUs. But to call this ML is very much a stretch.

I still use the traditional ML a lot, but mostly for evals and analysis.

I get being naturally bummed by this but I can't justify feeling anything but vaguely nostalgic about it. Someone with a $20 subscription can mog anything I can build with the skills I picked up.

If someone hands you a silver bullet you'd be a fool to decline it and spend your time hand casting a crude piece of brass. If the difference between 95% and 99% means you know how to aim or oil the gun, that's the world we live in.

Building a good RAG pipeline or prompt optimization or LLM consensus is dumb stuff that produces a better result than anything I could do from my 2010 ML/AI textbooks. I don't lack the knowledge or capacity to compete, I lack the compute.

That's the job now for 99% of companies.

2 माह पहलेdiscuss

Which is probably why they created another, for-profit, entity.

You can argue that it's unlikely the for-profit conservatorship of the non-profit is incompatible with that goal, but legally that becomes very much grey area.

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Well Twitter has other investors, too.

But he'll also likely be shaving equity here and there along the way to hedge this bet.

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A more "hardcore" team will keep telling him he can win on appeals, and bill accordingly.

3 माह पहलेdiscuss

I don't want to spoil it for you, but ...

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Given all that, maybe we shouldn't have attacked. Doesn't seem like it really did anything.

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The latter, their arrangement with OpenAI enabled this.

3 माह पहलेdiscuss

> If so, why do you think lobbying exists?

Specifically because it's not a natural market. There are people who secure a 2-year, consequence-free term to impact U.S. law, at the behest of people with money.

Lobbying is special interests dictating decisions that often are not financially, morally, or otherwise ideal/beneficial to the other party (the United States and its people). This wouldn't fly at any corporation or business because there would be direct impacts on the bottom line or reputation of the company.

3 माह पहलेdiscuss

No offense intended here, but this probably isn't the place to promote your package, given it's a story about a massive and incredibly popular dependency that managed to get got.

4 माह पहलेdiscuss

Clever/novel ideas are very often subtle deviations from known, existing work.

Sometimes just having the time/compute to explore the available space with known knowledge is enough to produce something unique.

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CV is a space where I would 100% agree with you. But - edge cases notwithstanding - there's not so much of a dropoff with NER that I would first go to an LLM.

4 माह पहलेdiscuss

> f"Extract the company name from: {text}"

I think one thing that's lost in all of the LLM tooling is that it's LLM-or-nothing and people have lost knowledge of other ML approaches that actually work just fine, like entity recognition.

I understand it's easier to just throw every problem at an LLM but there are things where off-the-shelf ML/NLP products work just as well without the latency or expense.