491–500 of 695 posts
Earlier quoted context omitted.
AFAIK, 1. the 80% margin from 2025 was theoretical, 2. they're relying on distillation/synthetic data for training, 3. and have been very opaque about cross-subsidization of R&D with their models. The distillation alone adds a big asterisk for comparisons.
Talking nonsense.
> But the numbers are available for companies like DeepSeek
You'd rather trust self-reported figures? LMAO
Please remember you do not need Anthropic. There are cheaper subscriptions with higher rate limits. Comparison of subscriptions to API: https://codeberg.org/mutablecc/calculate-ai-cost/src/branch/... Score/price comparison: https://benchlm.ai/llm-pricing Opus is not worth the moat, there are multiple equivalent models, GLM 5.1 and Kimi K2.5 being the open ones, GPT 5.4 and Gemini 3.1 Pro being closed. https://llm-sta…
Hey all, Boris from the Claude Code team here. We've been investigating these reports, and a few of the top issues we've found are: 1. Prompt cache misses when using 1M token context window are expensive. Since Claude Code uses a 1 hour prompt cache window for the main agent, if you leave your computer for over an hour then continue a stale session, it's often a full cache miss. To improve this, we have shipped a few…
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Why is nobody even asking why that should be an issue? No other text editor shits the bed that way. The whole point of the computer is that it patiently waits for my input.
let me put this way: not your ram, not your cache, not waiting patiently for your input.
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Makes me wish that shortly before the server-side expiration, we could save the cache on the client-side, indefinitely. But my understanding is that we're talking about ~60GB of data per session, so it sounds unrealistic to do...
Where are you getting 60GB from? It shouldn’t be that large. But yes, would love to save context/cache such that it can be played back/referred to if needed. /compact is a little black box that I just have to trust that is keeping the important bits.
https://chatgpt.com/share/69dc5030-268c-83e8-92c2-6cef962dc5...
Hey all, Boris from the Claude Code team here. We've been investigating these reports, and a few of the top issues we've found are: 1. Prompt cache misses when using 1M token context window are expensive. Since Claude Code uses a 1 hour prompt cache window for the main agent, if you leave your computer for over an hour then continue a stale session, it's often a full cache miss. To improve this, we have shipped a few…
I think the model select that let me choose 1M made sense because I could decide if I was working on large documents and compacting more often was more effective.
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There isn't an SLA nor is there any protections around file uploads to their services. Two, bad, things can be true at the same time.
Did you talk to them about purchasing an SLA? If so, what did they say?
If zero data-retention was non-negotiable for the customer, it's totally possible that the negotiations ended there.
I'm not sure what you're trying to accomplish or unearth beyond what's already been said, which certainly suffices for me.
Earlier quoted context omitted.
Did you talk to them about purchasing an SLA? If so, what did they say?
I feel like you aren't really understanding what a Service-level Agreement actually is in practice. It's not a piece of paper with a specific number of nines and an associated price tag. They can be and often are very complicated documents that take multiple rounds of redlining to arrive at something both parties agree to. If zero data-retention was non-negotiable for the customer, it's totally possible that the nego…
Hey all, Boris from the Claude Code team here. We've been investigating these reports, and a few of the top issues we've found are: 1. Prompt cache misses when using 1M token context window are expensive. Since Claude Code uses a 1 hour prompt cache window for the main agent, if you leave your computer for over an hour then continue a stale session, it's often a full cache miss. To improve this, we have shipped a few…
I wish people would pay more attention to: * Anthropic is in some way trying to run a business (not a charity) and at least (eventually?) make money and not subsidize usage forever * "What a steal/good deal" the $100-$200/mo plans are compared to if they had to pay for raw API usage and less on "how dare you reserve the right to tweak the generous usage patterns you open-ended-ly gave us, we are owed something!"