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schmorptron

1,159 カルマ登録 6 年前

投稿

Measuring what frontier models know – and how big they are

01.me
1 ポイント·投稿者 schmorptron·2 か月前·2 コメント

Fixing AMDGPU's VRAM management for low-end GPUs

pixelcluster.github.io
5 ポイント·投稿者 schmorptron·3 か月前·0 コメント

Understanding FSR 4

woti.substack.com
1 ポイント·投稿者 schmorptron·6 か月前·0 コメント

コメント

schmorptron
·一昨日·議論
yeah, but that's due to enterprise commitments that MS won't train on the user interactions
schmorptron
·5 日前·議論
I don't think that's it for console manufacturers. They make the majority of their money on game sales, so they want the console itself to be used for as long as possible.
schmorptron
·17 日前·議論
We're moving towards total surveillance slowly but surely. Age verification. Chat control. To an extent also the digital euro. It all seems hopeless, they're pushing this through despite what semblance of a democratic process we have clearly being against it. [that is not to speak of how undemocratic the european system is and how badly it needs reform. Von der leyen should never have been able to get the role she holds]
schmorptron
·18 日前·議論
i love that word, and now it's genuinely (hehe) ruined. thanks, claude
schmorptron
·23 日前·議論
I'm giving them the benefit of the doubt and interpreting it in a charitable way because they sound earnest about it, this is incredibly ambitious and cool-sounding, and I wish them all the best. It's something that's some sort of pipe dream, a noninvasive diagnosis machine that is able to use certain generic measurements and then derive insane levels of data from it. We've of course seen Theranos, but the holy grail remains.

Of course, there's always the tradeoff between research data collection and access vs user privacy, and striking that balance is incredibly hard. To make anything like this even remotely feasible you'll need a shitton of data and have it fully available to your researchers as well, while somehow safeguarding individual users. anonymizing medical data is impossible without rendering it near useless. Hoping they can figure that out! (Also, with human bodies being so different from one another, combatting bias is probably an eternal challenge)
schmorptron
·23 日前·議論
you can build the datacenter right next to the tank and use the now-warm cooling water to pump into the tanks!
schmorptron
·29 日前·議論
Cursor's composer models are finetuned kimi
schmorptron
·29 日前·議論
It's "just" an opencode fork but it adds some nice features to try out while not being a full orchestrator metapackage like oh-my-opencode. Quite nice! Though it would be even nicer if this stuff came upstream or as an easy extension instead in the future
schmorptron
·先月·議論
got one answer by reading the rest of the comments, makes sense that the diffusion process is inherently reasoning-like: https://www.inceptionlabs.ai/blog/introducing-mercury-2
schmorptron
·先月·議論
What would a diffusing reasoning model look like? have a pre-defined length [thinking] block that gets diffused over a long time, and then the final output block uses what is in that thinking block as part of its input? And how do diffusion models decide the output length in the first place, is it a pre-set parameter? or does it diffuse an [end] token into the middle somewhere?
schmorptron
·先月·議論
The irony of "we train on all of humanity's collective output, but god forbid anyone trains on ours" is still incredible
schmorptron
·先月·議論
Cool project! I'll be trying it out. I've been a big fan of throwing whatever sources I have on a new topic i'm trying to get into into a llm "project" and then asking it to teach me, grounded on the actual content to speed things up.

But at the same time, I'm afraid getting everything laid out for you in exactly the way you want will erode some of the understanding you build by going through a primary source directly and figuring things out the hard way. So this having more focus on actually doing stuff by yourself seems right up my alley (while still tending to the LLM induced intellecutal laziness... ) .
schmorptron
·先月·議論
Maybe this will replace raptor-mini as the "free" model on copilot plans? (but I don't see it at all yet on the student plan, in vscode or the cli)
schmorptron
·先月·議論
the new intel ultra whatevername 3 series seems to come a bit closer there, so the framework pro with its explicit linux support might be an option
schmorptron
·先月·議論
It's interesting that (for example for the explore agent https://github.com/Piebald-AI/claude-code-system-prompts/blo... ) they use a personality "you are a file search specialist" and "your strengths" framing. I thought that was largely thought to be useless, or even counterproductive nowadays? Does anyone know more about this stuff?
schmorptron
·2 か月前·議論
i see the reasoning traces in opencode (cli). maybe it's a setting?
schmorptron
·2 か月前·議論
I think part of it is also that we're able to still LARP as full developers of complex systems while vibe coding by seeing an interface that makes us look like l33t h4xx0rs even though we're just pressing continue 15 times
schmorptron
·2 か月前·議論
Aaand critique https://www.lesswrong.com/posts/veFMEzDDyWaer2Sms/sanity-che...
schmorptron
·2 か月前·議論
Associated paper: https://arxiv.org/html/2604.24827v1
schmorptron
·3 か月前·議論
for the current moment, Intel seems to be ahead of AMD for both power efficiency and iGPU performance. Panther Lake is really, really good.