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Amazon to invest another $4B in Anthropic

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Re: Amazon to invest another $4B in Anthropic

#71

As someone who doesn't really follow the LLM space closely, I have been consistently turning to Anthropic when I want to use an LLM (usually to work through coding problems) Beside Sonnet impressing me, I like Anthropic because there's less of an "icky" factor compared to OpenAI or even Google. I don't know how much better Anthropic actually is, but I don't think I'm the only one who chooses based on my perception of…

Funny, I use Mistral because it has 'more" of that same factor, even in the name!

They're the only company who doesn't lobotomize/censor their model in the RLHF/DPO/related phase. It's telling that they, along with huggingface, are from le france - a place with a notably less puritanical culture.

Re: Amazon to invest another $4B in Anthropic

#72
post #6

I' m not sure how they make it back. The guardrails in place are extremely strict. The only people who seem to use it are a subset of developers who are unhappy with OpenAI. With Bard popping up free everywhere taking away much of the general user crowd and OpenAI offering the mini model always free and limited image generation / expensive model. Then you have to do it yourself crowd with llama. What is their target…

Claude is the best model for programming. New generation of code tools like Cursor all use Claude as the main model.

> Claude is the best model for programming

This week.

Re: Amazon to invest another $4B in Anthropic

#73
post #49

Anthropic should double down on the strategy of being the better code generator. No I don't need an AI agent to call the restaurant for me. Win the developers over and the rest will follow.

> Win the developers over and the rest will follow. Will they really? Anecdotal evidence, but nobody I know in real life knows about Claude (other than it's an ordinary first name). And they all use or at least know about ChatGPT. None of them are software engineers of course. But the corporate deciders aren't software engineers either.

Most people I know in real life have certainly heard of ChatGPT but don't pay for it.

I think someone enthusiastic enough to pay for the subscription is more likely to be willing to try a rival service, but that's not most people.

Usually when these services are ready to grow they offer a month or more free to try, at least that's what Google has been doing with their Gemini bundle.

Re: Amazon to invest another $4B in Anthropic

#75
post #49

Anthropic should double down on the strategy of being the better code generator. No I don't need an AI agent to call the restaurant for me. Win the developers over and the rest will follow.

> Win the developers over and the rest will follow. Will they really? Anecdotal evidence, but nobody I know in real life knows about Claude (other than it's an ordinary first name). And they all use or at least know about ChatGPT. None of them are software engineers of course. But the corporate deciders aren't software engineers either.

Maybe the software engineers should talk to the deciders then.

Re: Amazon to invest another $4B in Anthropic

#77

They certainly need the money. The Pro service has been running in limited mode all week due to being over capacity. It defaults to “concise” mode during high capacity but Pro users can select to put it back into “Full Response.” But I can tell the quality drops even when you do that, and it fails and brings up error messages more commonly. They don’t have enough compute to go around.

Hmmm... I wonder if this is why some of the results I've gotten over the past few days have been pretty bad. It's easy to dismiss poor results on LLM quality variance from prompt to prompt vs. something like this where the quality is actively degraded without notification. I can't say this is in fact what I'm experience, but it was noticeable enough I'm going to check.

Re: Amazon to invest another $4B in Anthropic

#78

They certainly need the money. The Pro service has been running in limited mode all week due to being over capacity. It defaults to “concise” mode during high capacity but Pro users can select to put it back into “Full Response.” But I can tell the quality drops even when you do that, and it fails and brings up error messages more commonly. They don’t have enough compute to go around.

Hmmm... I wonder if this is why some of the results I've gotten over the past few days have been pretty bad. It's easy to dismiss poor results on LLM quality variance from prompt to prompt vs. something like this where the quality is actively degraded without notification. I can't say this is in fact what I'm experience, but it was noticeable enough I'm going to check.

Same experience here.

Re: Amazon to invest another $4B in Anthropic

#79

Earlier quoted context omitted.

Claude is the best model for programming. New generation of code tools like Cursor all use Claude as the main model.

> Claude is the best model for programming This week.

It has been for the last several months now.

Re: Amazon to invest another $4B in Anthropic

#80

They certainly need the money. The Pro service has been running in limited mode all week due to being over capacity. It defaults to “concise” mode during high capacity but Pro users can select to put it back into “Full Response.” But I can tell the quality drops even when you do that, and it fails and brings up error messages more commonly. They don’t have enough compute to go around.

I am a paying customer with credits and the API endpoints rate-limited me to the point where it's actually unusable as a coding assistant. I use a VS Code extension and it just bailed out in the middle of a migration. I had to revert everything it changed and that was not a pleasant experience, sadly.
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