theanonymousone

16 時間前議論

I wouldn't call it borderline. If we take the chart seriously (if), it means for every budget, the best performance is achieved by a 5.6 variant.

theanonymousone

一昨日議論

It's not about the table, unfortunately:

> Users on legacy annual Copilot plans will not receive access to new models and features.

theanonymousone

6 日前議論

I don't know what MT5, strat, OHLC, or YF are. But I have been loving streamlit since its start in 2019 for exactly being this much intuitive and quick to start with and prototype.

Congrats. Go ahead and have fun.

theanonymousone

9 日前議論

They say it here: https://docs.github.com/en/copilot/reference/copilot-billing...

But then again they released MAI despite this, so I don't know.

theanonymousone

9 日前議論

A very sharp slap in the face of those of us who kept our annual plans and didn't ask for s refund: It seems it will not be available to annual subscriptions.

theanonymousone

12 日前議論

What is meant by a "loop" here? Just repeating the same prompt until you get the desired result? Are subsequent repetitions too close to each other?

theanonymousone

18 日前議論

Th is really not good advertisement for Claude-Oriented Programming

theanonymousone

22 日前議論

Dupe? https://news.ycombinator.com/item?id=48590056

theanonymousone

23 日前議論

Yes. Whenever I tried, I found no reason to use DeepSeek v4 Pro versus MiMo v2.5 Pro, price-wise or performance-wise. Benchmarks also confirm this.

theanonymousone

26 日前議論

I hope Over-16s be next.

theanonymousone

29 日前議論

But the huggingface link mentions BF16, F16, and I32?

theanonymousone

29 日前議論

In OpenRouter, there is an "int4" tag for Moonshot provider of Kimi K2. 7 Code. Isn't that too low, particularly coming from the very developer of the model? Os that a mistake? How is it in their direct API offer?

theanonymousone

29 日前議論

"You're absolutely right"?

theanonymousone

先月議論

For me it is a tool I avail to an LLM so that it can provide correct answers to a certain category of questions, instead of hallucinating nonsense.

theanonymousone

先月議論

P.S. I was casually searching for "sandboxed Python" for an experiment I'm working on, and reached this article that was published "today". Very nice coincidence! Thanks.

theanonymousone

先月議論

I fully agree with the title (with reservation for "dialects"), and I believe the same can be said for JSON and Markdown, among possibly others.

theanonymousone

先月議論

Thanks a lot. How about Q8 vs FP16/BF16? Have you checked them too?

theanonymousone

先月議論

Have you seen the 8bit quantisation matter a lot? The "consensus" in r/LocalLlama is that up to 4 bits the loss is tolerable.

theanonymousone

先月議論

My question as well. Isn't Tencent a very well-known company? Maybe the mystery is in the model itself?