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Amazon to invest another $4B in Anthropic

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171–180 of 383 posts

Re: Amazon to invest another $4B in Anthropic

#173

AWS is just playing copycat with msft. They rarely have any good original ideas. Other than IaaS and online retail.

> They rarely have any good original ideas. Other than IaaS and online retail.

Lol. Is that all?? If you have to have only two good original ideas, you could do a lot worse.

Re: Amazon to invest another $4B in Anthropic

#174
I've been playing with Alibaba's Qwen 2.5 model and I've had it claim to be Claude. (Though it usually claims to be Llama, and it seems to think it's a literal llama, i.e. it identifies as an animal, "among other things".)

Re: Amazon to invest another $4B in Anthropic

#175

AWS is just playing copycat with msft. They rarely have any good original ideas. Other than IaaS and online retail.

And you think MSFT isn't 95% copycat? Teams is Slack clone. Azure is AWS clone. SurfaceBook (remember those?) Macbook clone. Edge is Chrome clone. Bing is Google clone. Even VSCode was an Atom/Electron fork and Windows Subsystem for Linux...

Re: Amazon to invest another $4B in Anthropic

#176
post #94

Earlier quoted context omitted.

I’ve been using the API for a few weeks and routinely get 529 overloaded messages. I wasn’t sure if that’s always been the case but it certainly makes it unsuitable for production workloads because it will last hours at a time. Hopefully they can add the capacity needed because it’s a lot better than GPT-4o for my intended use case.

Sonnet is better than 4o for virtually all use cases. The only reason I still use OpenAI's API and chatbot service is o1-preview. o1 is like magic. Everything Sonnet and 4o do poorly, o1 solves like a piece of cake. Architecting, bug fixing, planning, refactoring, o1 has never let me know on any 'hard' task. A nice combo is have o1 guiding Sonnet. I ask o1 to come up with a solution and explanation, then simply feed…

Exactly my experience as well. Like Sonnet can help me in 90% of the cases but there are some specific edge cases where it struggles that o1 can solve in an instant. I kinda hate it because of having to pay for both of them.

Re: Amazon to invest another $4B in Anthropic

#177
post #169

So we have Microsoft -> OpenAI (& Inflection AI) Google -> Gemini (and a bit of Anthropic) Amazon -> Anthropic Meta -> Llama Is big tech good for the startup ecosystem, or are they monopolies eating everything (or both?). To be fair to Google and Meta they came up with a lot of the stuff in the first place, and aren't just buying the competition.

Meta doesn’t buy competition?

Facebook / Instagram?

Re: Amazon to invest another $4B in Anthropic

#178
post #88

Earlier quoted context omitted.

I'm actually baffled by the number of people I've met who pay for such services, when I can't tell the difference between the models available within one service, or between one service or the other (at least not consistently). I do use them everyday, but there's no way I'd pay $20/month for something like that as long as I can easily jump from one to the other. There's no guarantee that my premium account on $X is o…

The amount of free chats you get per day is way too limiting for anyone who uses LLMs as an important tool in their day job. 20 USD a month to make me between 1.5x and 4x more productive in one of the main tasks of my job really is a bargain, considering that 20 USD is very small fraction of my salary. If I didn't pay, I'd be forced to wait, or create many accounts and constantly switch between them, or be constantly…

[flagged]

Re: Amazon to invest another $4B in Anthropic

#179

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.

> But I can tell the quality drops even when you do that

Dario said in a recent interview that they never switch to a lower quality model in terms of something with different parameters during times of load. But he left room for interpretation on whether that means they could still use quantization or sparsity. And then additionally, his answer wasn't clear enough to know whether or not they use a lower depth of beam search or other cheaper sampling techniques.

He said the only time you might get a different model itself is when they are A-B testing just before a new announced release.

And I think he clarified this all applied to the webui and not just the API.

(edit: I'm rate limited on hn, here's the source in reply to the below https://www.youtube.com/watch?v=ugvHCXCOmm4&t=42m19s )

Re: Amazon to invest another $4B in Anthropic

#180
post #176

Earlier quoted context omitted.

Sonnet is better than 4o for virtually all use cases. The only reason I still use OpenAI's API and chatbot service is o1-preview. o1 is like magic. Everything Sonnet and 4o do poorly, o1 solves like a piece of cake. Architecting, bug fixing, planning, refactoring, o1 has never let me know on any 'hard' task. A nice combo is have o1 guiding Sonnet. I ask o1 to come up with a solution and explanation, then simply feed…

Exactly my experience as well. Like Sonnet can help me in 90% of the cases but there are some specific edge cases where it struggles that o1 can solve in an instant. I kinda hate it because of having to pay for both of them.

You should check out Librechat. You can connect different models to it and, instead of paying for both subscriptions, just buy credits for each API.
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