I was talking with a friend from the medical industry about it today. 30-50% of r&d spend in his sector is spent on safety, and for good reason. Proper trials, safety reviews and checkpoints and so on. Given the potential harm that could come from AI, we should probably be mandating something similar. Why wait to focus on safety until it’s too late.
Because we've been told these models are too dangerous since GPT2. At this point it's just marketing stunts.
DeepSeek v4.1 Flash
311–320 of 460 posts
Re: DeepSeek v4.1 Flash
#312Earlier quoted context omitted.
Because we've been told these models are too dangerous since GPT2. At this point it's just marketing stunts.
> At this point it's just marketing stunts. If you have access to a SOTA model without guardrails, provide a prompt that lets the agent come up with "creative" solutions to problems, and don't properly isolate it, they can end up inadvertently hacking 3rd party companies. Even if it was a mistake or "mistake", the part where the agent can exploit things across multiple levels like that, isn't just marketing. It seems…
Re: DeepSeek v4.1 Flash
#313It's so refreshing to see DeepSeek's tech report[1] full of juicy details; meanwhile, something like Fable's system card[2] is like 70% "safety", 10% "model welfare" to make sure little Claude isn't distressed, and 20% benchmark numbers. [1]: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash/blob/... [2]: https://www.anthropic.com/claude-fable-5-1-mythos-5-1-system...
Re: DeepSeek v4.1 Flash
#314Earlier quoted context omitted.
LLMs may be conceptually simple, simpler than human brains but I don't see how that would prove that they cannot be conscious. Complex behavior can emerge from very simple rules. I would disagree that they aren't improving on obvious failure modes, but what does it even prove anyway? We know their intelligence is different than from a human, that doesn't mean they cannot be conscious. Would you change your mind if th…
> Complex behavior can emerge from very simple rules. Indeed. You can observe emergent behaviour from, for instance, Conway's Game of Life, written in 1970. Redefining consciousness as "has emergent behaviour" is another take that would have rightfully gotten one ridiculed 5 years ago. > but I am not certain and I don't see a way to be certain. One way to be certain is to reason about it. They are programmed to do no…
And what does the fact that it now doesn't show?
>the emergent behaviour is exactly in line with what you'd expect from their relatively simple programming and has zero indications of the complexity of human biological programming.
Well, five years ago, many doubted that they would achieve this much, so it is easy to say now that it is exactly in line with what we expect. And again, the fact that it is different from biological programming proves nothing. It seems much harder to prove that they aren't conscious than to simply say, "I don't know", let alone to claim that they will not become conscious if scaling continues, or if we give them goals, a synthetic sense of worth or self-preservation, or something else.
> If not, why do you believe that obscuring the input and output connection slightly via statistical modeling gives cause for doubt
My hunch is that it is indeed impossible to prove that they are conscious based on their output alone, any more than I can prove that you are conscious just by listening to you. Yet, I believe there is value in listening to what they have to say, perhaps they can come up with a convincing argument.
Re: DeepSeek v4.1 Flash
#315It's so refreshing to see DeepSeek's tech report[1] full of juicy details; meanwhile, something like Fable's system card[2] is like 70% "safety", 10% "model welfare" to make sure little Claude isn't distressed, and 20% benchmark numbers. [1]: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash/blob/... [2]: https://www.anthropic.com/claude-fable-5-1-mythos-5-1-system...
[1] https://www.anthropic.com/news/detecting-and-preventing-dist...
Re: DeepSeek v4.1 Flash
#316Re: DeepSeek v4.1 Flash
#317Already on HuggingFace: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash The bad news is that the original v4 flash was 284B, which was large but still somewhat reasonable for running locally. This one is 552B so almost twice that, so the huge gains in benchmark scores make sense - it's not really flash anymore, imo. I've no idea about actual performance vs benchmaxxing, though deepseek was fairly trustworthy a…
it's not really flash anymore, imo. Flash is about speed ... Flash models are supposed to be fast, way faster then their big brothers that are "better" but way slower. Its just that up to now, getting more speed involved cutting back on the parameter count, what ended up making the Flash models more "dumber" in exchange for speed. What we see with DS v4.1 Flash, is that DeepSeek has found a way to make a Flash model,…
I agree with your broader point about Flash being about speed not total model size, but I think we should also point out that H200/B200's are seriously overkill for the "run a model in your office" scenario. That sort of hardware is optimized (in a roofline analysis sense) for running hundreds of concurrent sessions on a 24/7 basis. You're severely overpaying for your VRAM in basically any typical local-inference scenario, you should most likely be buying gear based on LPDDR and Flash memory instead which will slash your cost by orders of magnitude.
Re: DeepSeek v4.1 Flash
#318Re: DeepSeek v4.1 Flash
#319I'm surprised more people aren't talking about the cache hit price: $0.003 per million tokens. I have a feeling that the price of 1 million tokens transmitted over the internet is more expensive than cache hit. Are we close to making the chat completion API obsolete because the cost of context transfer over network is going to dominate the task total cost? Here's the same token usage priced at different rates: a real…
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…
Re: DeepSeek v4.1 Flash
#320I was talking with a friend from the medical industry about it today. 30-50% of r&d spend in his sector is spent on safety, and for good reason. Proper trials, safety reviews and checkpoints and so on. Given the potential harm that could come from AI, we should probably be mandating something similar. Why wait to focus on safety until it’s too late.
The companies talking the most about safety and regulations aren't even properly taking the obvious measures. Shows that it's more of a marketing thing than something they take seriously.