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.
More evidence that people should use wrappers like OpenRouter and litellm by default? (Makes it easy to change your choice of LLMs, if one is experiencing problems)
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.
in the beginning i was agitated by Concise and would move it back manually. But then I actually tried it, I asked for SQL and it gave me back SQL and 1-2 sentences at most Regular mode gives SQL and entire paragraphs before and after it. Not even helpful paragraphs, just rambling about nothing and suggesting what my next prompt should be Now I love concise mode, it doesn't skimp on the meat, just the fluff. Now my pr…
Agree, concise mode is much better for code. I don’t need you to restate the request or summarize what you did. Just give me the damn code.
Claude Sonnet 3.5 is simply amazing. No matter how much I used it I continue to be amazed at what it can produce. I recently asked it what the flow of data is when two vNICs on the same host send data to each other and it produced a very detailed answer complete with a really nice diagram. I then asked what langue the diagram uses and it said Mermaid. So I then asked it to produce some example L1,2,3 diagrams for com…
I much prefer Claude over ChatGPT, based on my experience using both extensively. Claude understands me significantly better and seems to "know" my intentions with much greater ease. For example, when I request the full file, it provides it without any issues or unnecessary reiterations (ChatGPT fails after me repeatedly instructing it to), often confirming my request with a brief summary beforehand, but nothing more…
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 much prefer Claude over ChatGPT, based on my experience using both extensively. Claude understands me significantly better and seems to "know" my intentions with much greater ease. For example, when I request the full file, it provides it without any issues or unnecessary reiterations (ChatGPT fails after me repeatedly instructing it to), often confirming my request with a brief summary beforehand, but nothing more…
Anthropic is getting $4B in investment in a year where their revenue was about $850M. Even if Amazon had bought them outright for that much, they would not be ahead. The fact that everybody keeps repeating the claim that Amazon is "making money" makes this appear like some kind of scam.
Last I checked, AWS reserve pricing for one year of an 8x H100 pod costs more than just buying the pod yourself (with tens of thousands left over per server for the NVIDIA enterprise license and to hire people to manage them). On demand pricing is even worse. This is essentially money that they would have spent to build out their cloud anyway, except now they also get equity in Anthropic. Whether or not Anthropic sur…
Yes and it’s also interesting that they mention using Trainium to do the training. I don’t know how much spend that is, but it seems really interesting. Like, if you’re AWS, and you imagine competing in the long run with NVIDIA for AI chips, you need to fund all that silicon development.
They are also confident in the investment because they know that all the money is going to come right back to them in the short term (via AWS spending) whether or not Anthropic actually survives in the long term.
But anthropic is currently on GCP.
Nope they have supported AWS deployments for a long time, and now even more of the spend will be on AWS.
> Anthropic has raised an additional $4 billion from Amazon, and has agreed to train its flagship generative AI models primarily on Amazon Web Services (AWS), Amazon’s cloud computing division.