Reporting on AI and the future of the economy. CS masters degree from Princeton. Newsletter: understandingai.org Podcast: aisummer.org

Washington, DC
Honestly it's not that surprising that the party that nominated the "grab 'em by the pussy" guy for president three times would nominate a candidate for Ohio governor who handles sexual assault allegations in a shameless and tone-deaf way.
NEW: Following the release of an ad in which her mother, Donna Arthur, attacks her, court records obtained by @NRO confirm key parts of Amy Acton’s personal history, including that she was sexually abused by her stepfather while Arthur was married to him nationalreview.com/news/amy-…
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Timothy B. Lee retweeted
The big surprise of the 2022–26 era for AI security policy is how cyber damages to the public don't seem to have increased much due to AI. In fact, they've stayed on-trend with the industrialization-of-cybercrime growth rates we've observed since around 2015, with perhaps a small AI-causal bump. It's useful to think about the position of cybercriminals to develop an intuition for this: * Imagine you're trying to build a cybercrime business and you want to take advantage of AI automation. * How do you find and retain talented engineers who can build and operate the software/infra stack you'll need, given that they'll often have non-criminal alternatives with today's AI labor demand (even in middle-income countries where this demand also exists)? * Where are you going to rent space for your workforce to work? * Who are you going to hire who's willing to live there and live a life of crime? * If you're running your business remotely, how will you ensure honor among thieves and manage hiring and firing? * What's your strategy for evading law enforcement and bribing your way out of trouble? * How can you access AI inference in a stable way that allows you to innovate your work processes and tech stack? * Given all this, how will your quarterly automation goals compare to those of, say, a regional call center business in the American Midwest? There's a lot of nuance here (e.g., state and state-sponsored cyber attackers are a very different group; capabilities can get built up there and then unleashed discontinuously, and this needs to be considered). But overall, the demographic picture of cyber attackers means that folks should stop thinking of cyber attackers as a bunch of implicit MIT grads anxious to absorb the latest in automation to scale their businesses... (Below are some related charts on the demographics of cyberattackers from a blog post I'm working on.)
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This is really fun.
I’ve been working on a mod of Super Mario Bros. with Zapper support. One player plays as normal and the other can use the light gun to shoot blocks and enemies on the screen—or to make Mario huge!
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Timothy B. Lee retweeted
"Profound to some but boring to most" is exactly the topic of my latest piece at Understanding AI I call this "personal media," which has a very small audience -- sometimes just one person! understandingai.org/p/ai-is-…
I feel like all these AI assisted ports/recomps/mods are becoming like people's dreams. Ubiquitous but quickly forgotten. Profound to some but boring to most.
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"It may be AI slop, but it's my AI slop." understandingai.org/p/ai-is-…
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Timothy B. Lee retweeted
In my defense, I didn't actually make this claim in the article. And @physical_int has a track record of being more open than its direct competitors But I was still surprised to see the news. I'll be curious to learn more about how the API works
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Timothy B. Lee retweeted
I was wrong recently. When I was working on a recent article about the challenges of robotics evaluation, I thought we wouldn't see any top robot models offered through API: understandingrobots.org/p/wh… Then @physical_int went and released a beta last week: pi.website/blog/api-beta
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A lot of hostility toward creative use of AI is based on the premise that we'll eventually reach the point where the AI is doing the thing rather than you doing the thing with the AI as a tool. I think this is wrong — if it's your idea, it's your creation.
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Of course some people want to do the whole process themselves, and that's great! Lots of people enjoy being painters. But taking photographs is also an creative human activity. It doesn't matter that in a mechanical sense the image is created by the camera.
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Last year @NatPurser asked me who my favorite tech writers were. The first name I mentioned was @benjedwards. So I'm thrilled I talked him into writing for me. Check out his new piece on AI and the age of personal media. understandingai.org/p/ai-is-…
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(The other names I mentioned to Nat were @SciGuySpace, @kevinroose, and @kashhill )
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Timothy B. Lee retweeted
China is ahead of the US in industrial robot deployments. Does that mean China going to beat the US in robotics? If so, what should the US do about it? I went to @scsp_ai's robotics summit on Wednesday to find out more. Here's what I learned: understandingrobots.org/p/wa…
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To be specific, the pattern of the last 4 years has been lab insiders correctly predicting rapid capabilities growth while overestimating the likely real-world consequences. I expect a continuation of both trends in 2027.
"People inside the AI labs claim to have evidence that makes them more worried. And they are not allowed to talk about it." I have trouble taking this too seriously because it's been true for almost the entire 3.5 years I've been covering AI full time.
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I used to employ a nanny and now employ @chi_t_williams. This has broken DC's tax system (household employers are considered separate from regular businesses) and I'm therefore unable to register to pay unemployment taxes. I've been on the phone for days trying to fix it.
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Disappointingly ignorant article from the Atlantic. There are rare times like 2009 when a lack of demand hurts the economy. But in general too much spending can cause as many problems (i.e. inflation) as too little. There's no general problem from people saving too much.
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To be clear I'm not completely dismissing it! I just see it as a fairly weak signal of how the next year is likely to go.
"People inside the AI labs claim to have evidence that makes them more worried. And they are not allowed to talk about it." I have trouble taking this too seriously because it's been true for almost the entire 3.5 years I've been covering AI full time.
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"People inside the AI labs claim to have evidence that makes them more worried. And they are not allowed to talk about it." I have trouble taking this too seriously because it's been true for almost the entire 3.5 years I've been covering AI full time.
Dwarkesh Patel reveals an Anthropic employee told him two days ago they expect AIs to match humans at AI research within nine months based on inside information they can’t share, and says labs should make that evidence public “I think there’s a very frustrating element to the current situation right now, where people inside the AI labs claim to have evidence that makes them more worried. And they are not allowed to talk about it. And this makes it a very difficult situation on the outside to evaluate how worried we should be." "So for example, just the other day, maybe two days ago, I was talking to somebody at Anthropic and they were like, look, I expect AIs to be humans at AI research within nine months." "And I’m like, why do you believe that? Well, they’re like, it’s not just vibes, but I have information on the inside. Like, what is it? Is it a new model? Is it some evaluation you ran? It’s like, I can’t talk about it." "I think it’s a terrible state of affairs. If they really believe this, if they think that we’re in a situation where we’re less than a year away from automating AI research and radically speeding it up, they should make this evidence public.”
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Right now, betting markets think Democrats have about a 40% chance of picking up a Senate seat in Kansas — about the same as Republicans' odds of holding the seat in Texas.
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Replying to @binarybits
"instead of following a long complicated book of rules, just follow the law" thanks David, I can tell you've thought about this a lot.
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This whole rant is philosophically dubious, but also it's just not true that the AI safety field has produced "nothing useful." RLHF, one of the foundational concepts for modern chatbots, was developed by safety researchers at OpenAI and DeepMind as an alignment technique.
David Sacks says Anthropic treating Claude like a human is the reason the AI alignment field has produced nothing useful in 10 years "I actually think that this might be a reason why the whole field of alignment has been so spectacularly unsuccessful over the past five or 10 years. As far as I can tell it hasn't produced anything of tangible value.” “My theory on this is that they're overcomplicating the task massively by trying to train the model to behave based on an 80-page ethical system that they've codified instead of a very simple list of rules like follow the law or just do what the user wants as long as it doesn't break the law. That's what alignment should be doing." "But they're not doing that. They're trying to align it to an ethical system. They're treating it like it is a human, like it has its own consciousness, that it's a ‘moral patient.’” “They are encouraging this model to have human-like self conception in terms of preferences, well being, a sense of self. Again they teach it to act like a conscientious objector who can push back or refuse instructions even from Anthropic if the model judges them to be wrong."
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Also it's wild that he thinks "as long as it doesn't break the law" is a simple or clear-cut criteria for doing things. Laws vary from one jurisdiction to another, and you need a lot of context to understand whether an action would violate the law in a particular case.
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