I've run some evals on my puzzle game https://redactle.net/llm-leaderboard Deepseek v4.1 flash is able to solve it some of the time. I've found it burns through more reasoning tokens than any other model. Google models like Gemini 3.8 Flash are still dominating and is able to one-shot most evals while being the cheapest. I'm curious what other unique evals people are running.
Since it has low activated parameter count but huge total parameter count it needs more tokens to move the relevant information into the context.
DeepSeek v4.1 Flash
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Re: DeepSeek v4.1 Flash
#542Earlier quoted context omitted.
> We should be paying attention to it just in case it ends up mattering enormously. It's cheap insurance. This sounds a lot like the argument some people give for praying and going to church even if you aren't a believer. "You should be doing it just in case God ends up being real."
Sure if you think that AI spiraling out of control is equally as likely as a magical fairy in the cosmos.
Re: DeepSeek v4.1 Flash
#543Earlier quoted context omitted.
God being real is also a possibility, so maybe we really should start praying. After all, he was allegedly making bushes and stones talk thousands of years before we did anything with thinking rocks.
Its only a possibility if you reject modern science.
Re: DeepSeek v4.1 Flash
#544Earlier quoted context omitted.
In what way does your brain change state while sleeping that a model does not change state via constant fine-tune updates?
It's possible that an LLM is conscious during training, but there are no "constant fine-tune updates" during inference.
Re: DeepSeek v4.1 Flash
#545Earlier quoted context omitted.
3.8-flash-next fits on a single 6000 at Q4 if you offload the PLE. Crazy fast and still effective.
Sorry for the tangent, but how does Qwen3.8-flash-next compare to DeepSeek v4 Flash? I still haven't found the time to set it up, but I'm really happy with DeepSeek v4 Flash
If you have enough room to run DeepSeek v4 Flash comfortably then you can likely run the Q8 of the qwen model.
Re: DeepSeek v4.1 Flash
#546Earlier quoted context omitted.
Its only a possibility if you reject modern science.
What science has proven, beyond the shadow of a doubt, that nothing comes after death? I'm sure most of the human race would be very interested to read the white paper.
Re: DeepSeek v4.1 Flash
#547Re: DeepSeek v4.1 Flash
#548Re: DeepSeek v4.1 Flash
#549Earlier quoted context omitted.
I ran the preview model around 2,126,605,070 tokens for $22.04 USD for the last couple of days. Kind of shocked. It did a decent job refactoring https://github.com/mmastrac/diffgemma to create a CUDA support backbone, it's struggling a bit to port metal kernels to CUDA unattended (it hasn't managed to get numbers to match over >1 layer). It successfully ported a root exploit to an older Android phone that GLM5.3Flash…
Which harness are you using?
Re: DeepSeek v4.1 Flash
#550Earlier quoted context omitted.
Not the same person but to me, the answer is that it does not matter, and that all these attempts at making it matter are pure marketing and emotional manipulation. It's not a living creature. It's an autoregressive pure function of token-sequence to token, which is capable of incredible things, but it's still just a function. It is not alive as it cannot die in any meaningful sense. It is less "alive" than the RNA m…
I generally agree about the problem with anthropomorphizing. But I don't think Anthropic are doing that. They explicitly write "in biological entities this would be considered a sign of consciousness, but we don't know how to interpret it here". However, I disagree with your point that "it's an autoregressive function, thus it doesn't matter". Let me explain why: Assume I do a complete neurological scan of a brain. I…
This in itself is a colossal assumption and very far from axiomatic. Roger Penrose disagrees, and his theory of mind may not be in high favor, but it is not nearly so wishy-washy and self-serving as the voodoo horseshit and circular reasoning dispensed by the LLMs-are-sentient crowd.