crystl (@crystlizedd) header
crystl (@crystlizedd) profile picture

larping as a software dev

Joined June 2025
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i was tired with how google calander worked so like i made my own and its less bad and far faster to add events its heavily wip, theres some rough edges but check it out :) github.com/vvxcrystl/lmnaide
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"i asked grok" "i asked chatgpt" well i held council with the memories of my collected ancestry and they commanded me to destroy thinking machines
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So DeepSeek and Kimi learned from GPT-6 Astra. I genuinely do not give a fuck. Everyone in business copies. Always did. Industrial espionage is older than every AI lab on this planet. Every American tech giant copied someone on the way up. The question is not who learned from whom. The question is what these models did to the market. DeepSeek does a browser task for $0.22. GPT-6 Astra charges $10.77 for the same task. That is competition. Prices fall because of it, and we all win. Meanwhile look at how the US side competes. Federal agencies ordered to remove DeepSeek. Bills written wide enough to cover open models. Fear campaigns about Chinese weights running on your own computer. The Chinese labs do not answer any of it. No mud. No crying on X. They just work quietly and ship weights. I know which side behaves like a competitor. teapawt.net/kimmonismus/status/211…
As expected, Kimi 3.1 Pro distilled US frontier models to train their models. This time they distilled GPT-6 Astra. The damage to Kimi’s reputation keeps growing. Via the information
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crystl retweeted
sam: local inference is a terrible allocation of scarce resources “a lot of people want local inference, and somehow they assume that the problem is solved now because we have open-source models, we're going to be able to run them on our computers, and so we're not going to need all the stuff in the data centre but from a global allocation perspective, actually it's quite terrible to have everybody, like, have a bunch of the world's limited supply of DRAM sitting in their own computer and being used five percent of the time you want maximum utilisation in the cloud if you're trying to deal with this very supply-constrained environment somehow many people's intuition is the opposite of that”
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is this verity
Something is going to happen.
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no way, its the guy from the theo video
t3code but modified
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people judge AI by the laziest thing someone made in 10 seconds. try judging cameras by blurry selfies and see how that goes
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crystl retweeted
Oh, you're projecting because nobody is using your shitty T3 Code clone, got it.
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i'd rather play something made with AI and passion than something made with a 200 million dollar budget and zero risk
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High-key getting tired of the "Fuck AI, it's all bad" or "fuck generative AI" and so on so forth. I'm not for, nor against, AI as a whole; but everyone crying about it need to get over it... I understand peoples' viewpoints, especially for artists, musicians and so on, I do-
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🤣
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crystl retweeted
Replying to @theo
@theo loving the design changes!!
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Qwen4, coming soon… CTO quote was “next week” Xudong Guo - Research Scientist, Qwen, Token Foundry Live from Amsterdam
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Its actually what hot people use
Replying to @thdxr
Isn’t deepseek what all the criminals use
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Chicos, tengo una idea...
Yo! There's a crying Stolas plushie! #HelluvaBoss #Stolas
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The existence of "Deepseek v5 Open" implies that one of them is gonna be closed weight. are we gonna see Closed weight deepseek models?? Yikes.
Big leak : DeepSeek V5 just dropped a quiet signal. - Three new model IDs just appeared in the Harness test suite - deepseek-v5 - deepseek-v5-open - deepseek-v5-next - Release timing is still unknown but the names are no longer theoretical.
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>buy 3 DGX Sparks >"now I'll never be short on compute" >inference needs all 3 >research needs all 3 >mfw I'm short on compute
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Bloodbath was made in 1.9.
"Bloodbath in 1.9"
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crystl retweeted
I swear to god Max effort performs worse than medium using almost any model, don't use that sh*t ever.
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that dream that starts 10 minutes before you have to get up
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