icecreambar

3.4K posts

icecreambar

icecreambar

@lcecreambar

CMU dropout. Perpetual ML novice. ex-PHP wagie. Startup Founder.

Austin, TX Katılım Aralık 2010
327 Takip Edilen185 Takipçiler
icecreambar
icecreambar@lcecreambar·
@CrabwickTheChad @Tech2Wild reading from the docs, it doesn’t sound like a nice experience. Doesn’t sound conversational. More like strict turn taking.
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Tech2Wild
Tech2Wild@Tech2Wild·
Running a Hermes Agent with GLM 5.2 on a Computer the size of a Deck of Playing Cards 🔥🔥🔥
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Air Katakana
Air Katakana@airkatakana·
do you think he’s confused as to why his student’s research is getting 100x more attention
Air Katakana tweet mediaAir Katakana tweet media
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Cyber Tronic
Cyber Tronic@Cyber_tronic·
@ananayarora Didn't jobs send out a very similar email and they got in trouble for like anti-competitive practices
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David Elikwu FRSA ⚔️
@ananayarora Ironically this lawsuit filing has the opposite energy to the email. Few have the direct energy and influence that Jobs had. Fewer are willing to train these abilities.
David Elikwu FRSA ⚔️ tweet mediaDavid Elikwu FRSA ⚔️ tweet media
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icecreambar
icecreambar@lcecreambar·
@lauriewired i would have liked to mess with Symbolics if i was around in those times
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LaurieWired
LaurieWired@lauriewired·
I wonder what the world would look like if IBM won instead of UNIX. IBM’s i operating system is gorgeous (and still updated)! Everything is an object, no binaries are native (translated bytecode, almost JVM-y), and pointers all have an absurd amount of (useful) metadata. Technically it hides a lot of the underlying system…you don’t even get to choose if an object lives on RAM or disk! But, interesting to think how much safer software would be. Overengineered maybe, but beautiful. Kind of reminds me of Symbolics, like an alternate reality LISP machine where everything is an object.
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Kanye East
Kanye East@FuckedUpYogis·
@signulll I feel like the type of logic they are going with any tech company would be suing another company if their star employees defect to them.
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icecreambar
icecreambar@lcecreambar·
@sudoingX how do you feel about the memory bandwidth though?
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Sudo su
Sudo su@sudoingX·
one month with the framework desktop 128gb as my amd inference box and i keep waiting for the catch. there isn't one. 128gb of unified memory in a 4.5 liter box. strix halo, ryzen ai max plus 395. framework sent it, amd seeded the program, and my only job was honest numbers wherever they land. so here are the numbers. a 397b moe runs at around 18 tok/s on this thing. a 35b holds a four million token context window. and the open community vulkan drivers beat amd's own rocm stack on my bench, which is the most linux thing imaginable. three and a half weeks of daily serving now, model swapping, long agent sessions, zero crashes, zero driver tantrums, fans i genuinely cannot hear. it sits next to the nvidia box and eats whatever gguf i throw at it. my 24gb card is still the daily driver, but a big memory tier at this price did not exist a year ago. amd showed up, and this quiet little box is the proof.
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Sudo su
Sudo su@sudoingX·
what's your go to local model right now? any hardware counts. whatever you've got. just tell me what you actually run daily.
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Jonathan Gorard
Jonathan Gorard@getjonwithit·
The whole “objects of different masses fall at the same rate” thing is an approximation, assuming the Earth’s surface is fixed. But what we care about is the *relative* acceleration that combines both object and Earth accelerations, wherein we recover the Aristotelian prediction.
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icecreambar
icecreambar@lcecreambar·
@Yuchenj_UW I can easily tell difference between glm and ds4 if they are the only two choices.
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Yuchen Jin
Yuchen Jin@Yuchenj_UW·
I’m the kind of man who can confidently pass a blind test between Coke, Pepsi, and Diet Coke. But if I’m brutally honest, I probably can’t pass a blind test between GPT-5.6 Sol, Claude Fable 5, and GLM-5.2 for 95% of my daily use cases.
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David Hinkle
David Hinkle@Drachs1978·
@max_spero_ My disagreement with you is that it does not require high IQ, it only requires preparation, and a lot of it. A lot of preparation that would for most people be better spent on making a product awesome. Once you've memorized the patterns anybody can do it.
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Max Spero
Max Spero@max_spero_·
Doing well on Leetcode requires one of two things: 1. High raw IQ 2. Preparation I think that’s why it’s still a high signal screening interview. I want to talk to people who are either very smart or very prepared.
Yuchen Jin@Yuchenj_UW

I’ve been talking to some young AI talent recently. Many dislike companies that still use LeetCode interviews. The logic is simple: LeetCode mostly tests memorization. In the AI era, even 3B LLMs can solve these problems faster than any human. The tech industry should move toward AI-assisted, real-world problem-solving coding interviews.

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icecreambar
icecreambar@lcecreambar·
@popovicu94 what happened is they put 8gb of ram in it. Not what the pi was supposed to be.
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Uros Popovic
Uros Popovic@popovicu94·
I know RAM is expensive now, but what in the world happened to Raspberry Pi? At this pace, they’ll soon enter the price range of Mac Mini and for what? These prices defeat the purpose of what Raspberry Pi is.
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icecreambar
icecreambar@lcecreambar·
Been starting to wean myself off of Claude, using Pi, DS4, and GLM on my less important stuff. It’s finally happening.
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0xSero
0xSero@0xSero·
I'm buying a second DGX Spark, my goal is very simple. In daytime I will have DS4 Flash for chat running across 2x Sparks and GLM-5.2-REAP running on 4x 6000s I am setting up a goal builder, which recommend me loops to run overnight. At night I will have GLM-5.2 (not REAP) running with PP = 2 with stage 1 = TP4 with 6000s and stage 2 being TP2 with the DGX Sparks. To make this work I need to get really creating, but I think I can get 25-40 tok/s decode for the Nvidia NVFP4 At night I don't care much about tok/s as long as it'll be large enough to make progress over 8 hours.
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