erick'smind132

95 posts

erick'smind132

erick'smind132

@Erickdev132

Katılım Şubat 2025
232 Takip Edilen33 Takipçiler
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Jensen Huang
Jensen Huang@JensenHuang·
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models. images.nvidia.com/pdf/Open-Weigh…
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DROID
DROID@droidbuilds·
"mom, how did we get so poor?" "your father had Claude Max, Cursor Pro, Grok 4.5 and shipped absolutely nothing"
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Muyeye
Muyeye@MuyeyeyeX·
谁开cursor么? 填我的邀请链接:首月半价优惠 cursor.com/referral?code=… Refer friends, earn usage credits Eam up to $250 every month by referring friends. They get 50% off their first month; you get $25 in usage credit when they buy a plan. Valid for 10 rewards per month. View referral history. 🥳
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Fazt
Fazt@FaztTech·
Deberíamos tener en cuenta que somos la última generación que sabe cómo era desarrollar software antes de la llegada de la IA.
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ADHD Memes
ADHD Memes@ADHDForReal·
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umi#223
umi#223@gucciiporro·
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Cats
Cats@mightbeacat·
meow 👉👈
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Insane Content
Insane Content@onlineinsane·
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erick'smind132
erick'smind132@Erickdev132·
ChatGPT Work has really changed the way I work because I can send it the transcripts of my weekly work meetings, and it organizes my schedule accordingly.
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⟢ ⟣@vamptact·
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En Júpiter
En Júpiter@En_jupiter_·
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alco ⊢ ꙮ
alco ⊢ ꙮ@qualiascript·
it's 2001. open-source Linux is better than Windows on servers. Steve Ballmer calls Linux "cancer", "communist" and asks for it to be regulated away it's 2026. open-source LLMs are better than ChatGPT/Claude on costs. they are called "decelerationist" and "communist"
Dean W. Ball@deanwball

Some observations on Kimi: 1. It's a very good model! I don't think its performance can be explained away by distillation or anything like that. In agentic coding sessions, it seems pretty much on par with the best public models of Q1 2026. In my fairly limited use, it also seemed very token hungry. It's not obvious to me that this model is actually that cheap to run. 2. I am personally surprised the Chinese state continues to allow the open sourcing of models this good, given potential risks. To be clear, I *myself* might be fine with models presenting this level of marginal risk being open weight, but I am surprised that China is fine with it. I suspect the reason they are is 75% explained by strategic blindness/lack of AGI-pilledness (the CCP is very Yann Lecun-y in its views of AI). The other 25% or so is their lack of compute for customer inference (making China's open-weight strategy an unintended byproduct of US export controls) and the normal Chinese strategy of aggressive exports. For the companies, as opposed to the government, the decision to open source is partially ideological and partially because they are behind, and they know that very few people would pay for sub-frontier models from China. 3. Open-weight models are inherently decelerationist, and I'm continually surprised to see the so-called "accelerationists" so excited about open-weight models. I suspect the reason they are is that they know open-weight models are effectively ungovernable, and they simply like the overall cloak of ungovernability open-weight models create over the whole of AI. It's not a bad strategy; it reminds me of James Scott's recounting of the hill people in "the art of not being governed." Still, in the end, open-weight models deter further AI capex. 4. One probable outcome of an open-weight-model-dominant world is full AI communism, which is precisely what China proposes: rather than a market product, AI is a "public good" which will ultimately be provided by the state as a kind of "digital public infrastructure." This future strikes me as a dystopian hellscape, but I've never met an open-weight models advocate who doesn't ultimately concede this is where things end. You'd be surprised how many 'accelerationists' lobbied me, while I was in government, to support an eleven or twelve-figure federally funded data center so that startups could train models at a subsidy and then give them away for free. There was no other way for AI to progress, they said. Perhaps this is the logical end state of things. Nonetheless, I find myself surprised to see supposed accelerationists excited about such an outcome. I think many of them just don't know what they're doing. Many accelerationists do not view the creation and serving of frontier models as a legitimate business. 5. I would guess that the Trump Administration will at some point realize that their best strategy here would be to create large amounts of regulatory risk around the use of open-weight Chinese models. You don't need to "ban open source" (one of the dumber motifs of AI policy discussion). You just need to direct every agency to issue soft law that creates FUD. "A Federal Reserve Advisory Bulletin found that there may be backdoors in Chinese AI models." It needn't be that well justified. You just create enough regulatory risk that every regulated enterprise backs off. You probably don't want to create so much regulatory risk that you scare off the hyperscalers from serving Chinese models; this will just drive startups to sketchier providers. There's a happy middle ground here. I'd assume they will do some version of this. 6. It's probably true that open-weight models of this capability make the world a bit more dangerous, but not so much more that you'll really notice. At some point the models will be capable enough that you will notice. "A nonliving, invisible, dangerous, and infinitely self-replicating agent escaped from a Chinese lab," you say? Color me shocked.

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Joe
Joe@TheBreaker884·
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En Júpiter
En Júpiter@En_jupiter_·
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