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How is this different than CPUs? I suppose in the last 5 years the architecture and tape has changed a lot as they move to make more LLM capable?

One of the problems is the power dynamic westernized/developed societies have. The article talks about just that: Australians brought shells in and basically one-shotted a rich culture for their own gain via hyper inflation.

If a missionaries message was basically "Believe in God and you'll have limitless shells", and backed it up with a crate of shells, they would all be converts.


The juxtaposition of someone's instinct to be thinking of bitcoin when reading about indigenous trade is at the best a bit funny, and at the worst small-minded when you consider the havoc those Australians brought onto their culture. Basically wiped out a foundational part of their way of life in an instant for their own gain. It's sad. That was my takeaway.

Depending on the age, people are spending between 4-6.5 hours a day on their phone. How much are people spending on computers? Their mattress? 2,000 for the cutting edge version is frankly reasonable for what a phone provides in this day and age, especially considering the last 3 years of inflation in the US...

These are just... obvious design choices that a foldable phone lends itself to. I'm not going to complain when Ford comes out with a new car that has a circle you turn when you want to turn the car. It's what works.

If they were "obvious design choices" we wouldn't first have 2 other different designs (long and narrow, clamshell).

They are good design choices, which is different.


(a) identify any of their de-identified data that came from their usage of ChatGPT.

You don't need his login information, you just need to identify if anyone was approaching the NS problem using his method. Nobody else on earth (presumably) besides him, his team, and at best OpenAI were approaching the problem this way.


I get annoyed if a webpage takes longer than 1-2 seconds to generate right now. You don't?

Great link, I haven't seen that before. I saw someone at Microsoft make an "OS" that was just copilot chats per-window, generating the HTML. I recreated it and it's not great, but it's a fun toy that _feels_ transformative, unlike almost every AI product ever made besides the fundamental chat interface.

To take this a step further: https://chatjimmy.ai/

Imagine AppLess running a model as good as qwen at 20,000 tok/sec. It would be generated in a shorter amount of time as downloading a webpage right now. If this works out the consequences are kind of scary. The end of SaaS, the end of software being the moat or the property of companies, the embolstering of data protection (since that's fundamentally what code operates)...


Exciting times indeed

You missed the point, it's not for you to write.

The new era of thepiratebay/silk road but for LLMs will be an exciting time

In all seriousness, isn't it pretty straightforward to quantize a model locally? I can do it using mlx in one command.


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