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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.


It's not naive, it's how languages work.

That grammar doesn't necessarily convey 100% of semantics is a problem of natural language. Or rather, of people being poor at communicating unambiguously.

Programming languages can also be ambiguous sometimes, but that ambiguity is resolved before execution by essentially following a priority list or throwing an error if no combination of rules fits.


They all fall into the pitfall that Martin Heidegger suggested avoiding, particularly in the introduction of his text What Is a Thing?.


> "already promised to allow an independence vote"

Exactly, an _independence_ vote.



Entropix will get it's time in the sun, but for now, the LLM academic community is still 2 years behind the open source community. Min_p sampling is going to end up getting an oral about it at ICLR with the scores it's getting...

https://openreview.net/forum?id=FBkpCyujtS


> the LLM academic community is still 2 years behind the open source community

Huh, isn't it the other way around? Thanks to the academic (and open) research about LLMs, we have any open source community around LLMs in the first place.


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.


My respectful counterpoint is that most people aren't paying attention to tech releases at all, ever, unless they go viral like ChatGPT did.

I have very nontechnical coworkers get excited about cool new things ChatGPT can do, but I'm not certain any of them even know we _have_ Gemini in our Google Workspace.

This would hardly be the first time Google has produced innovative technology which eventually fizzles because it never captured much mindshare outside of the tech news circles


Google's recent launches have been technically impressive (especially Veo 2), but given the company's past track record on creating new products, I'm not very bullish that they can turn those launches into products with the same excitement and sense of direction as OpenAI at least appears to have. Google has the benefit of having platforms that span billions of devices and people, but with the looming threat of antitrust regulation, I'm not so sure they'll have the benefit of the last thing for long. Granted, I doubt that 1-800-ChatGPT will be a significant source of users for the product, but it does signal some of the creativity from the company that seems to be escaping Google regularly (see: NotebookLM's leads leaving to form their own startup).


> Google is crushing it with releases. Gemini 2.0 is great, […]

Isn't that exactly (part of) what they were saying in the comment you replied to?

> […] building better tech. Gemini will be faster/better and it will have more features


you're correct, GP is missing the point


Google search also was good at the beginning. Now it occasionally gives results that contain none of the keywords and have nothing to do with what I searched for.


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.


BitNet is functional at 1.58 bpw.


The model card says the 70B is 16 bit so I think you have twice that


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.


It's like with drug dealing on the streets. If you force dealers off the streets, the deals will take place in private apartments that are much harder to surveil. If you force dealers from large social nets to private social nets or even specialized "underground" apps, the police work is going to be harder, not easier.


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