Sam Biddle

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Sam Biddle

Sam Biddle

@samfbiddle

[email protected] / [email protected] / Signal username for tips: sambiddle.99 (Pls only contact me with tips via a personal, non-work device)

Los Angeles Katılım Haziran 2009
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Sam Biddle
Sam Biddle@samfbiddle·
NEW: A U.S. counter-terror fusion center believes ICE's tweets are so racist they could incite acts of violence by white supremacists and encourage neo-Nazis to get hired, according to an internal memo we obtained. theintercept.com/2026/05/21/ice…
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Sam Biddle
Sam Biddle@samfbiddle·
@deanwball Re: #5, are you saying this is something the administration ought to do, or just your prediction of what the White House will do?
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Dean W. Ball
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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Sam Biddle
Sam Biddle@samfbiddle·
I think it's worth examining the extent to which many of the people advocating for this "race" have a direct financial interest in what's generally argued as necessary to beat China: continued massive spending, American market dominance, weak or no regulation
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Sam Biddle
Sam Biddle@samfbiddle·
@qs_spa Then why is he partnering with the UAE?
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YayArea
YayArea@qs_spa·
@samfbiddle Dario straight up says the democracies cannot allow a dictatorship to win as a dictatorship will use AI to stop all dissent & for mass surveillance. His claim as to why China can’t win
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Sam Biddle
Sam Biddle@samfbiddle·
Virtually no one who cites a need to "beat China" in the "AI race" ever bothers to explain what any of that actually means: what the stakes are, where the finish line is, why we're racing in the first place, what "winning" looks like, etc. Largely vibes-based techno-nationalism.
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Sam Biddle
Sam Biddle@samfbiddle·
"Nothing has shipped to consumers"
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Andy Stone@andymstone

@samfbiddle Sticking with the theme of intellectual dishonesty, you clipped Boz’s quote. He says it “would” be a great feature. Would. We have said for months we’re exploring such features, even as nothing has shipped to consumers. No secret there despite the conspiratorial thinking.

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Sam Biddle
Sam Biddle@samfbiddle·
@andymstone If Meta is doing promotional sponsored content for NameTag, is it safe to say that it now exists?
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Andy Stone
Andy Stone@andymstone·
@samfbiddle Sticking with the theme of intellectual dishonesty, you clipped Boz’s quote. He says it “would” be a great feature. Would. We have said for months we’re exploring such features, even as nothing has shipped to consumers. No secret there despite the conspiratorial thinking.
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Sam Biddle
Sam Biddle@samfbiddle·
Meta in June: NameTag "doesn't exist!" Meta in July: NameTag is a "great feature"
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nxthompson@nxthompson

Meta’s AI glasses are one of the company’s most successful products in years. They offer genuine utility, with a direct way for users to interact with its AI. But people have long been wary of smart glasses—especially when face recognition is involved. Here’s @boztank on Meta's NameTag feature, which identifies faces and alerts the glasses wearer when it detects someone they know. youtube.com/watch?v=VmQl7T… Produced by @atlanticrethink, The Atlantic's creative marketing studio.

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Sam Biddle retweetledi
Sam Biddle
Sam Biddle@samfbiddle·
The same Meta exec who last month called Wired "Absolutely dishonest" for reporting NameTag's existence is now retweeting NameTag sponcon.
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Ryan Mac 🙃
Ryan Mac 🙃@RMac18·
very funny that this company had a splashy launch and video claiming funding ties to Peter Thiel, and now has completely changed its focus and name to essentially become a Yelp for journalists x.com/RMac18/status/…
Ryan Mac 🙃@RMac18

Aron D'Souza, the man who coordinated with Peter Thiel to take out Gawker Media, has a new venture that says it will use private investigators and AI to apparently push back on unfavorable media stories. It's claiming it has developed an "AI Tribunal," whatever that means.

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