vletal

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The idea that we can solve "language" by breaking down and understanding sentences is naive and funny with the benefit of hindsight, is it not?

An equivalently funny attitude seems to be the "natural language will replace programming languages". Let's see how that one will work out when the hype is over.

> "already promised to allow an independence vote"

Exactly, an _independence_ vote.

It should be just a blogpost called

> "Forwarding content from Android to (cellular) Apple Watch"

not a Github repo.

Have you been paying attention at all these past few weeks? Google is crushing it with releases. Gemini 2.0 is great, Veo2 is crushing Sora, live video conversation from aistudio... 12 days of OpenAI turned out to be 12 days of Google.

Image details 9/10 Animation 3/10 Temporal consistency 2/10

Verdict 4/10

That would be 1.38 bits per weight on average, which I can confidently guess would not perform well.

My mum (65+) is addicted to Duolingo. She has been practicing English for a year. They gamified the app well. She did not learn much though.

Thanks! I am collecting all "test prompts" which appear at HN and Reddit. I plan to create a hugging face dataset. I will soon publish "Vojta-1B", which is gonna pass all of them.

This sounds too good. It's not too far away from me having a hard time wondering "is it just overly scripted corporate PR podcast".

Yeah. A slippery slope. If you force major apps to comply, smaller apps will pop up.

Not sure if you can win this whack a mole.

Seeems like simple enough 3D-to-3D will be possible soon!

I'll use it to upscale 8x all meshes and textures in the original Mafia and Unreal Tournament, write a good bye letter to my family and disappear.

I think the kids will understand when they grow up.

I was into this stuff when Scala was at its peak. I still think that it made me a better developer and it's just fun trying to understand all these concepts, but after several years I came to the conclusion that category theory will never hit mainstream.

Sure, the best ideas are already lurking into mainstream languages, but noone is building Monads and Functors. Implementations used in practice are not pure (flatMap on List accepts Sets/Options...).

These days I would probably jump on the Rust hype train and learned more about memory management and safety instead.

That is just a baseless speculation.

What would be the implication? I do not believe that DMA forces Apple to make iPhone sharing to Windows. How would it reduce "security"?

I do not get it. If they are really into "private cloud", "your data belongs to you", ... They should be compliant out of the box.

This decreases my trust in Apple.

I'm in my 30' so I remember office 97 and 2000.

I still believe that was the peak of their UX.

Wasting perfectly good hardware like that is a shame.

I hate that companies are allowed to use just ever so slightly different designs of their products every generation.

We are over regulating SW companies, because it feels free, it's just a software.

Why can not we force the biggest HW developers to make sure that devices can share spare parts across generations AND preventing them from bricking perfectly good devices?

This kind of reserach, which comes with new ideas which better explain our observations, helps balance exactly the blind faith in religion.

People will always ask "where everything came from" questions. And if there is no science with plausible big-bang => background radiation... theories, you can just as easily return back to creationism.

Can I just take an ultrasonic jewelry cleaner and fill it with water and ground coffee?

The n+1-th token is discarded if it is unlikely given the n-th token.

There is no AI on the whole front page. Right?

Where is the AI?

The article pinpoints a flaw in the study - crashes vary in severity, maybe the distribution is different for Teslas - and concludes with "anyway, bad look for Tesla regardless".

Which makes me wonder, what is the distribution of crashes? Do Teslas prevent more severe collisions? Any more detailed data on this?

In my first car (1989 Ford Escort, 3-door) I could adjust both temperature and radio volume without loosing eye contact with the road. I felt under control and safe. Recently I've rented a Tesla Model 3 and man, how far did we come since then. If just the voice control did not keep telling me "Sorry, I can not do that yet".

My dad (65yo) just bought a new car with a mediocre central display. It makes me super uneasy to see him drive. The man used to slap me over my wrist for looking at my phone while driving. Now it takes him 1+ seconds JUST TO adjust his eye sight to be able to while switching from the road to the display and back! Then he has to navigate the touch menus...

I am really worried he is going to hurt himself or someone in 10 years time he will likely own this car.

The example in the link you posted is equivalent to quietly whispering "GENERATED BY GOOGLE" every 15 seconds of over the generated track.

Regenerating an audio is similar to painting a fake painting. It is the strokes which will reveal the original author. But in this case you want to claim the piece for yourself - stripping the signature elements of the author BUT still preserve the original quality.

So, make sure the ID is not more nuanced and distributed than you might think :) Otherwise your auto-encoder might reproduce it as well.

No. The watermark is inaudible.

Btw. audio compression is already doing most of the "stripping inaudible" stuff. You know, why wasting bits on something which is less likely to by picked up by the listener. It is done by assuming a model of human hearing.

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I've only seen people getting ticket for crossing in Prague if they

  * disregarded any safety measure (arrogant crossing red light while cars are present)
  * were crossing red light in front of a Police station

Prague has such a shortage of officers they stripped the education requirement and basically anyone who passes psychological evaluation can become one. It is a rare sight to see one in flesh.