I currently use DeepSeek-V4.1-Flash and the V4-Pro and -Flash versions before that, because they are extremely cheap. I have spent less than $25 for over a billion token so far (1B cached, 15M out, 19M in). I even…
I've had some success with tokens as a measure of complexity instead of number of lines, but should be combined with additional rules, e.g. disallowing lambdas, exec, eval, compile, __import__ and complex list…
Both DeepSeek-V4.1-Flash and GLM-5.3-Flash failed to decode your embedded example text. I failed, too, but I only spent a minute trying to figure out your repo before giving up and telling AI to do it. Anyway, maybe you…
For me, "Improve the model for everyone" was "On", although I disabled a similar-sounding checkbox in the past (Germany).
They did, but it was not well-received. Perhaps they want to try something different.
> those things are not deterministic Determinism was an explicit goal of DeepSeek-V4. From their paper: https://arxiv.org/html/2606.19348v1#S3.SS3 > we implement end-to-end, bitwise batch-invariant, and deterministic…
It is easier to trust what you can understand.
Is there any cryptocurrency that uses AES?
Not necessarily. These days, SSDs can go up to multiple millions of random reads per second. TLS termination (or self-inflicted software bottlenecks) will become an issue much earlier.
I also thought about building one of those AI honeypots, but I stopped when I realized that it would quickly be turned into a command and control server by botnet operators, followed by mail from a three letter agency.…
I scrolled through https://simonwillison.net/tags/pelican-riding-a-bicycle/ but did not see any image where the spokes were correct. For a moment, I thought that the text-to-image model might have gotten it right, but…
MiMo-V2.5-Pro-UltraSpeed gets pretty close with over 1000 TPS on 8x B200. It has 1.02T total parameters and 42B active, compared to 27B total/active for Qwen3.8-27B. Also, B300 are out now. I think 1500 TPS for…
Cached tokens count towards the limit as well. For example, if your context window is 50,000 tokens, it takes 9 requests to reach that limit without generating a single token.
I was wondering whether this was any good for programming, but it is too fast for its own good. There is a limit of 450,000 tokens per minute. I hit this limit in about 90 seconds and burned through $1.10 while doing…
Thanks, that is very kind of you. I have submitted bugs in the past and was enthusiastic for GPU support for over 15 years now, but I lost my faith.
You can query polars data frames with SQL: https://docs.pola.rs/api/python/stable/reference/expressions... Unfortunately, polars does not support parameterized queries, so the risk of SQL injection is extremely high.
I tried it and the experience was not great. I first enabled chrome://flags/#force-enable-webgpu-interop which did nothing. Next, I enabled chrome://flags/#enable-unsafe-webgpu which made some WebGPU demos work, but…
Not all their research, but certainly a lot: https://github.com/orgs/deepseek-ai/repositories?q=sort%3Ast...
[dead]
I could have used more precise terminology. rfind is average case O(n + m), worst case O(n * m). Imho the worst case performance is more important than the average case performance, since it tells us whether there is…
Because the use case is very niche and nobody optimized it yet. https://github.com/python/cpython/issues/135824#issuecomment...
Sure! But where?
To learn about sentiment analysis, I'd look for related datasets and then look at recent code, e.g. here: https://www.kaggle.com/datasets?search=sentiment+analysis For more LLM-specific stuff, you can pick some agent…
Agents usually start with ingesting the existing code base, and DeepSeek can use those code bases for pretraining. And they will have filters on top of that to throw out garbage. I am not sure how they are using the…
I currently use DeepSeek-V4.1-Flash and the V4-Pro and -Flash versions before that, because they are extremely cheap. I have spent less than $25 for over a billion token so far (1B cached, 15M out, 19M in). I even…
I've had some success with tokens as a measure of complexity instead of number of lines, but should be combined with additional rules, e.g. disallowing lambdas, exec, eval, compile, __import__ and complex list…
Both DeepSeek-V4.1-Flash and GLM-5.3-Flash failed to decode your embedded example text. I failed, too, but I only spent a minute trying to figure out your repo before giving up and telling AI to do it. Anyway, maybe you…
For me, "Improve the model for everyone" was "On", although I disabled a similar-sounding checkbox in the past (Germany).
They did, but it was not well-received. Perhaps they want to try something different.
> those things are not deterministic Determinism was an explicit goal of DeepSeek-V4. From their paper: https://arxiv.org/html/2606.19348v1#S3.SS3 > we implement end-to-end, bitwise batch-invariant, and deterministic…
It is easier to trust what you can understand.
Is there any cryptocurrency that uses AES?
Not necessarily. These days, SSDs can go up to multiple millions of random reads per second. TLS termination (or self-inflicted software bottlenecks) will become an issue much earlier.
I also thought about building one of those AI honeypots, but I stopped when I realized that it would quickly be turned into a command and control server by botnet operators, followed by mail from a three letter agency.…
I scrolled through https://simonwillison.net/tags/pelican-riding-a-bicycle/ but did not see any image where the spokes were correct. For a moment, I thought that the text-to-image model might have gotten it right, but…
MiMo-V2.5-Pro-UltraSpeed gets pretty close with over 1000 TPS on 8x B200. It has 1.02T total parameters and 42B active, compared to 27B total/active for Qwen3.8-27B. Also, B300 are out now. I think 1500 TPS for…
Cached tokens count towards the limit as well. For example, if your context window is 50,000 tokens, it takes 9 requests to reach that limit without generating a single token.
I was wondering whether this was any good for programming, but it is too fast for its own good. There is a limit of 450,000 tokens per minute. I hit this limit in about 90 seconds and burned through $1.10 while doing…
Thanks, that is very kind of you. I have submitted bugs in the past and was enthusiastic for GPU support for over 15 years now, but I lost my faith.
You can query polars data frames with SQL: https://docs.pola.rs/api/python/stable/reference/expressions... Unfortunately, polars does not support parameterized queries, so the risk of SQL injection is extremely high.
I tried it and the experience was not great. I first enabled chrome://flags/#force-enable-webgpu-interop which did nothing. Next, I enabled chrome://flags/#enable-unsafe-webgpu which made some WebGPU demos work, but…
Not all their research, but certainly a lot: https://github.com/orgs/deepseek-ai/repositories?q=sort%3Ast...
[dead]
I could have used more precise terminology. rfind is average case O(n + m), worst case O(n * m). Imho the worst case performance is more important than the average case performance, since it tells us whether there is…
Because the use case is very niche and nobody optimized it yet. https://github.com/python/cpython/issues/135824#issuecomment...
[dead]
Sure! But where?
To learn about sentiment analysis, I'd look for related datasets and then look at recent code, e.g. here: https://www.kaggle.com/datasets?search=sentiment+analysis For more LLM-specific stuff, you can pick some agent…
Agents usually start with ingesting the existing code base, and DeepSeek can use those code bases for pretraining. And they will have filters on top of that to throw out garbage. I am not sure how they are using the…