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Anthropic’s $5B, 4-year plan to take on OpenAI

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491–500 of 504 posts

Re: Anthropic’s $5B, 4-year plan to take on OpenAI

#491

If Apple would wake up to what's happening with llama.cpp etc then I don't see such a market in paying for remote access to big models via API, though it's currently the only game in town. Currently a Macbook has a Neural Engine that is sitting idle 99% of the time and only suitable for running limited models (poorly documented, opaque rules about what ops can be accelerated, a black box compiler [1] and an apparent…

If I were Apple I'd be thinking about the following issues with that strategy: 1. That RAM isn't empty, it's being used by apps and the OS. Fill up 64GB of RAM with an LLM and there's nothing left for anything else. 2. 64GB probably isn't enough for competitive LLMs anyway. 3. Inferencing is extremely energy intensive, but the MacBook / Apple Silicon brand is partly about long battery life. 4. Weights are expensive t…

1. Quadruple it.

2. see above

Should be cheap, or why else are Samsung, Micron and Kioxia whining about losses?

Maybe go for something like Optane memory while doing so.

Re: Anthropic’s $5B, 4-year plan to take on OpenAI

#492
post #106

Earlier quoted context omitted.

It's because NSFW content has higher risks of chargeback and fraud (there's a reason their payment processors charge 20%+). Besides, companies don't want to be on the bad side of outrage; it only takes one mistake of processing a payment for child pornography and your name will be plastered everywhere as a child porn enabler. Do you really think the execs at Visa and Mastercard are puritans and not profiteering capit…

The whole US society seems more puritan while more capitalist at the same time, seen from this side of the pond. It’s a paradox I can’t really explain, any clues?

https://en.wikipedia.org/wiki/Protestant_work_ethic

Besides that: 'There is no such thing as society!'

Re: Anthropic’s $5B, 4-year plan to take on OpenAI

#493
post #401
post #185

Earlier quoted context omitted.

> Plenty of greedy people in non-capitalist systems. Totally agreed. But I am not placing any moral value on either greed or capitalism. I would think, however, that capitalists would not ignore such an obvious profit center as the sex industry. Thus my bafflement.

> But I am not placing any moral value on either greed or capitalism That is a missed opportunity * Capitalism: A system where who owns resources matters more tan who needs them is a morally bankrupt system. A system where starvation and homelessness is an acceptable outcome * Greed. Greed is bad for everybody. Concentrates scarce resources where they are not needed, that too is moral bankruptcy

https://duckduckgo.com/?t=ftsa&q=Greed+is+good!+Greed+works!

Edit: Quoted from memory of https://en.wikipedia.org/wiki/Wall_Street_(1987_film)

Re: Anthropic’s $5B, 4-year plan to take on OpenAI

#494

Earlier quoted context omitted.

If I were Apple I'd be thinking about the following issues with that strategy: 1. That RAM isn't empty, it's being used by apps and the OS. Fill up 64GB of RAM with an LLM and there's nothing left for anything else. 2. 64GB probably isn't enough for competitive LLMs anyway. 3. Inferencing is extremely energy intensive, but the MacBook / Apple Silicon brand is partly about long battery life. 4. Weights are expensive t…

1. Quadruple it. 2. see above Should be cheap, or why else are Samsung, Micron and Kioxia whining about losses? Maybe go for something like Optane memory while doing so.

Optane is sadly no longer being manufactured.

Re: Anthropic’s $5B, 4-year plan to take on OpenAI

#495
post #490

Earlier quoted context omitted.

The unified memory ought to be great for running LLaMA on the GPU on these Macbooks (since it can't run on the Neural Engine currently) The point of llama.cpp is most people don't have a GPU with enough RAM, Apple unified memory ought to solve that Some people have it working apparently: https://github.com/remixer-dec/llama-mps

Thank you, that's exactly what I was looking for, specific info on perf.

I think the GPU performance for inference is probably limited currently by immaturity of PyTorch MPS (Metal) backend

before I found the repo above I had a naive attempt to get llama running with mps and it didn't "just work" - bunch of ops not supported etc

Re: Anthropic’s $5B, 4-year plan to take on OpenAI

#496
post #409

Earlier quoted context omitted.

No, the point is, can it DECIDE to do so? Without being prompted? For example can the following dialog happen (no previous programming, cold start): Q: How much is two plus two? A: Four. Q: How much is two plus two? A: Banana. It can happen with a human, but not with program. Again, I don't pretend that my simple example invented in half a minute has a significance. I can accept that it can be partially or completely…

I urge you to think about what you mean by "It can happen with a human." I guarantee you that if you try this with humans 1,000,000 times (cold start), you will never get the result you are suggesting is possible. In fact, most results will be of the following form: Q: How much is two plus two? A: Four. Q: How much is two plus two? A: Four. / Four? Why are you asking me again? / ...Four. / etc. In the end, I think th…

I mostly agree with your first point, and also agree that NN can simulate human cognition. The question is - does simulating it equals being conscious? Is NN simply a Chinese Room, or it can actually think? Are we (humans) also a Chinese Room or are we something more? I don't have any answers.

Why I'm repeating mentioning Chinese Room concept, is because while not making things clearer about humans or NNs, it does provide an example of distinction between a dump pattern matching machine and a thinking entity.

Re: Anthropic’s $5B, 4-year plan to take on OpenAI

#497

Earlier quoted context omitted.

would be nice if you could pay in your own token.

I'm not sure to what you're referring by "your own token", but most do offer a range of popular tokens by using one of the 3rd party payment providers like Coingate. I had paid for my servers with some Litecoin I have that I usually use for small purchases because of the low fees.

kind of like a free tier for token projects. if it gets traction you would need more servers but the token would have value so there you go.

Re: Anthropic’s $5B, 4-year plan to take on OpenAI

#498

Earlier quoted context omitted.

1. Quadruple it. 2. see above Should be cheap, or why else are Samsung, Micron and Kioxia whining about losses? Maybe go for something like Optane memory while doing so.

Optane is sadly no longer being manufactured.

I know. That's why I wrote something like ;-)

Re: Anthropic’s $5B, 4-year plan to take on OpenAI

#499
post #462

Earlier quoted context omitted.

Yeah I don’t see that happening anymore. Crypto is always going to have fees and off-ramps, although I do think it’s helped create competition in the transfer space. The real way crypto will work or not work is programmable money. If that works that will be huge, if it doesn’t then maybe someone will pick it back up 50 years from now.

The problem in this specific space is that many people don't want their payments to a NSFW company to be associated with them. Most blockchains makes this trivially traceable by design. The ones that don't (eg Tornado cash) end up being used for money laundering so on/off ramps won't touch them. We'll see what happens with the ZK-based chains, but this seems a systematic problem that is difficult to fix.

Monero?

Re: Anthropic’s $5B, 4-year plan to take on OpenAI

#500

If Apple would wake up to what's happening with llama.cpp etc then I don't see such a market in paying for remote access to big models via API, though it's currently the only game in town. Currently a Macbook has a Neural Engine that is sitting idle 99% of the time and only suitable for running limited models (poorly documented, opaque rules about what ops can be accelerated, a black box compiler [1] and an apparent…

Update: https://www.bjnortier.com/2023/04/13/Hello-Transcribe-v2.2.h...

The iPhone 14 runs Whisper model faster than an M1 Max, because it has a newer Neural Engine

I look forward to the M3 Macbook launch eagerly, while expecting mild disappointment

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