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Muse Spark: Scaling towards personal superintelligence

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351–360 of 392 posts

Re: Muse Spark: Scaling towards personal superintelligence

#352
post #265

Earlier quoted context omitted.

I wonder if this is why the tech cartel is buying up all the hardware? If the average user gets convinced they could run LLMs for cheap at home, you cannot trap users in your walled garden anymore.

They actually need it because the demand is higher than expected from consumers. And because they need a moat since every big corporation trying to capture that market too, they need the moat for the biggest compute and energy they can get. Also businesses is were the money at, not regular consumers (especially tech-savvy folk who run models locally).

> the demand is higher than expected from consumers.

Where does that assertion come from? I wouldn’t believe anything these companies say publicly.

Re: Muse Spark: Scaling towards personal superintelligence

#353

This really reinforces the idea that the AI race and the Railroad Mania of the 19th century are very similar. So many different companies are going to have similarly powerful ai that there will be no moat around it and it will be cheap. They will never earn their investment back.

I suspect this is the real reason behind Anthropic limiting subscriptions to their own products and keeping API prices several times higher than comparable models. Applications more sticky than API users and less technical users more sticky than programmers (ie Cowork more sticky than Code).

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Re: Muse Spark: Scaling towards personal superintelligence

#354
post #22

Earlier quoted context omitted.

I never understood why meta decided to join the race. They don’t sell compute like Google or Microsoft. Why not let others do the hard work and integrate their LLMs in your systems if needed? I assume it’s because they have Instagram, Facebook, WhatsApp, Thread data and feel they should be the ones using them for training, but it’s really not obvious how having a frontier AI lab benefits their business

> I never understood why meta decided to join the race. I can think of at least two reasons. Price and customizability. If they train their own models on their own data, they potentially have a better model at a better price, and they're not at the mercy of Anthropic's decisions when they decide to raise prices. Additionally, if you use someone else's model, you use it the way they create it and permit you to use it.…

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Re: Muse Spark: Scaling towards personal superintelligence

#355
post #331

Earlier quoted context omitted.

NYTimes had a story about this (March 12): > Meta’s new foundational A.I. model, which the company has been working on for months, has fallen short of the performance of leading A.I. models from rivals like Google, OpenAI and Anthropic on internal tests for reasoning, coding and writing, said the people, who were not authorized to speak publicly about confidential matters. > The model, code-named Avocado, outperforme…

[flagged]

If you are trying to come up with anti-media conspiracies there are always plenty of ways to do it against any media company.

The idea that NY Times is particularly anti-Meta seems a stretch. They - like most traditional media companies - are anti-tech in general. The fact they also collect data doesn't make their reporting untrue.

Personally I think a much more interesting rumor to make up would be that Yann Lecun (who famously had his reporting lines rearranged to go through Alexander Wang after Scale.ai acquihire) works at New York University.

New York University is in the same place as the New York Times.

There's a conspiracy for you. I made it up, but I mean it could be true I guess?

(Of course Lecun also publicly congratulated Wang on the launch of the model. But maybe that's a ruse to hide everything.. blah blah)

Re: Muse Spark: Scaling towards personal superintelligence

#356
post #331

Earlier quoted context omitted.

NYTimes had a story about this (March 12): > Meta’s new foundational A.I. model, which the company has been working on for months, has fallen short of the performance of leading A.I. models from rivals like Google, OpenAI and Anthropic on internal tests for reasoning, coding and writing, said the people, who were not authorized to speak publicly about confidential matters. > The model, code-named Avocado, outperforme…

[flagged]

So llama4 is great? Have you been using it?

Re: Muse Spark: Scaling towards personal superintelligence

#357

Earlier quoted context omitted.

the models were objectively horrible

They really weren't horrible. They were ~gpt4o, with the added benefit that you could run them on premise. Just "regular" models, non "thinking". Inefficient architecture (number of active out of total) but otherwise "decent" models. They got trashed online by bots and chinese shills (I was online that weekend when it happened, it's something to behold). Just because they were non-thinking when thinking was clearly t…

Thanks for calling me a bot. Llama4 and meta ai sucks

Re: Muse Spark: Scaling towards personal superintelligence

#358
post #265

Earlier quoted context omitted.

I wonder if this is why the tech cartel is buying up all the hardware? If the average user gets convinced they could run LLMs for cheap at home, you cannot trap users in your walled garden anymore.

They actually need it because the demand is higher than expected from consumers. And because they need a moat since every big corporation trying to capture that market too, they need the moat for the biggest compute and energy they can get. Also businesses is were the money at, not regular consumers (especially tech-savvy folk who run models locally).

> They actually need it because the demand is higher than expected from consumers

Is it? OpenAI just got a lot of available computing in their spreadsheets after killing Sora

Re: Muse Spark: Scaling towards personal superintelligence

#359

Earlier quoted context omitted.

Stock up 9% today, very pleasant for Zuck if you do the math on his net worth :)

I mean, kinda? It's not like Zuck is selling his stock tomorrow, so daily fluctuations in stock price don't really affect him.

He can borrow against that, so it actually does matter.

Re: Muse Spark: Scaling towards personal superintelligence

#360

Earlier quoted context omitted.

I don't think everyone only wants to talk to machines going forward...?

I don't want to do it now. But that seems to be where we are being headed, like lemmings running for the cliff.

They have realized that the real money is in sitting between us and reality arbitrating what we see or know.
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