I thought for a moment there was a Dark Souls 4
A few words on DS4
51–60 of 197 posts
Re: A few words on DS4
#52I thought for a moment there was a Dark Souls 4
Glad I wasn't the only one, my second thought was Dual Shock controller but that wasn't it either lol
Re: A few words on DS4
#53I thought for a moment there was a Dark Souls 4
I was thinking dual shock 4
Re: A few words on DS4
#54DwarfStar4 is a small LLM inference runtime that can run DeepSeek 4. The blog post implies that it currently requires 96GB of VRAM. For others who are lacking context :-)
Thanks. Outside of LLM circles, DS4 is usually a video game controller.
Well, I was sitting here expecting the Redis creator have an opinion on still-unannounced Dark Souls 4.
Re: A few words on DS4
#55I'm very curious where we will saturate the curve on "enough" intelligence for coding. At some point, you can let a less smart model hammer at a problem for longer and get to the same result, and as long as you are not involved it comes to the same thing. I feel like DeepSeek V4 Pro is nearly there. Maybe Flash is too.
Once we hit that point, I am curious how much of Anthropic's current business model falls apart? So far it's always been clear that you just pay for the most intelligent model you can get because it is worth it. It now seems clear to me that there is limited runway on that concept. It is just a question of how long that runway is. I honestly wonder how much of their frantic push to broaden out into enterprise / productivity is because they see this writing on the wall already.
Re: A few words on DS4
#56A relevant recent tweet from antirez: https://x.com/antirez/status/2054854124848415211 > Gentle reminder on how, in the recent DS4 fiesta, not just me but every other contributor found GPT 5.5 able to help immensely and Opus completely useless. I've noticed the same for lower level squeezing-as-much-performance-as-possible code work.
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Re: A few words on DS4
#57DwarfStar4 is a small LLM inference runtime that can run DeepSeek 4. The blog post implies that it currently requires 96GB of VRAM. For others who are lacking context :-)
Thanks. Outside of LLM circles, DS4 is usually a video game controller.
I am actually kind of disappointed it wasn't a deep dive on the dual shock 4
Re: A few words on DS4
#58I'm very curious where we will saturate the curve on "enough" intelligence for coding. At some point, you can let a less smart model hammer at a problem for longer and get to the same result, and as long as you are not involved it comes to the same thing. I feel like DeepSeek V4 Pro is nearly there. Maybe Flash is too. Once we hit that point, I am curious how much of Anthropic's current business model falls apart? So…
> I'm very curious where we will saturate the curve on "enough" intelligence for coding. At some point, you can let a less smart model hammer at a problem for longer and get to the same result, and as long as you are not involved it comes to the same thing. I feel like DeepSeek V4 Pro is nearly there. Maybe Flash is too.
It's always going to be cost;
developer time vs developer cost vs AI cost vs developer productivity.
With 4.6 it's looking like we are at the upper limit of appetite for cost (for "regular" Business) so the other levers will probably need to change.
Re: A few words on DS4
#59I got this running on a 128GB M5 the other day - pretty painless, model runs in about 80GB of RAM and it seemed to be very capable at writing code and tool execution.
So you’re saying I should buy the M5? :) I’ve been resisting, thinking I’ll never use it… it’ll be better in a year… I’ll wait for the Studio (do we still think that’s coming in June?)… etc.
I expect this to be my main machine for the next 3-4 years (which is how I justified the 128GB one). It's a beast of a machine - I love that I can run an 80GB model and still have 48GB left for everything else.
Can't say that it wouldn't be a better idea to spend that cash on tokens from the frontier hosted models though.
I'm an LLM nerd so running local models is worth it from a research perspective.