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Grace Huckins

@gracehuckins.bsky.social
56 followers 8 following 77 posts

AI reporter, @technologyreview.com

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Grace Huckins @gracehuckins.bsky.social · 21/05/2026
Oops, this should obviously say 20th century!
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
That doesn't mean that this project isn't eliminating any jobs. No one had to scout locations, build sets, or source props for this film.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
One thing they aren't doing is any AI-generated performances, though that did mean they had to cast tons of people to fill in all those different locations.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
One advantage of using AI—Liman didn't have to limit the number of locations in the script. The movie could take place in 150 cities and "make Wolf of Wall Street seem sleepy."
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Liman says that with AI tools available at the start of filming, post-production would have taken 40 years. Given advances that have happened since, timeline is more like 6 months.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
It looks like a black box (well, gray box) theater production. All the set details will be constructed in post, with AI.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Now a special broadcast of behind-the-scenes footage from the crypto movie, "Bitcoin." We've been instructed not to take pictures.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Another part of the work that had to go into it—building strong guardrails around the character. This character either is or was based on NFL player DK Metcalf (I have no idea why), so they had to consider reputational issues—e.g. no trash-talking other players
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
The company has made a film where the viewer can interact with an AI character toward the end. Did that take away the job of a screenwriter? In this case, no—apparently getting the AI character to work required a "novel worth of writing"
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Jed Weintrob, co-founder of Liman's company 30 Ninjas, emphasizes the company's "artist-first, human-first approach to AI storytelling"—the classic AI for art disclaimer
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Liman is currently making a film about crypto starring Casey Affleck in which sets/backgrounds will be fully AI generated (www.thewrap.com/creative-con...)
thewrap.com
Inside Doug Liman's $70 Million AI-Made Movie Starring Casey Affleck and Gal Gadot | Exclusive
Doug Liman made a $70 million movie using AI about the creator of bitcoin called Killing Satoshi, starring Gal Gadot, Casey Affleck and Pete Davidson.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Liman: "Art has always reflected the technology of the time—this [AI] is definitely the technology of the time."
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Last thing from me before my final takes go up on @technologyreview.com later this week—a discussion on AI and creativity with director Doug Liman (The Bourne Identity, Edge of Tomorrow, and...Swingers?)
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
A surprising question now about longevity. Demis says "I don't really worry about that question." Goal of Isomorphic etc. is to cure human disease, and that's the key goal before thinking about aging/longevity.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
A note for Demis from all the Bay Area tech folks in the audience: "Making sure you have the direction right is often more important than just the speed."
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
The solution? Build a better mind.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Ok, very interesting thoughts on scientific progress at the end now. A big motivation for him was looking at the stagnation in progress in physics after the mid-19th century. He had a sense we might be reaching the limitations of the human mind.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
(Which it's fair to say he is, along with everything else. But that kind of intellectual fanaticism gives even more scientific cred than the Nobel Prize, I'd say.)
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
One thing Demis asks himself—would he still be working on AI if it hadn't had this explosive moment in 2022? Absolutely yes, he says—it's an obsession for him. More than anything else he's said today, that makes him sound like a scientist.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Says continual learning (i.e. AI that keeps learning after deployment) is one thing DeepMind is focusing on now. Definitely something to watch.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
What are the big things to look at going forward? Demis says self-improvement. Coding is a small example of that, but what next? He (very correctly) highlights that coding is a very specialized area that's amenable to AI acceleration. Not clear what he thinks the next SI step is.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
(Obviously, certain things—e.g. getting good protein structures—go much faster! But that doesn't necessarily speed up molecular biology in general, much less science writ large.)
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Demis says that the pace of science is picking up in all sorts of fields (implicitly due to AI), but there's a lot of research that science has slowed recently. IMO, whether and how AI will change the rate of scientific progress is a big open question.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Talking about the AlphaGo Lee Sedol match, Demis says it feels simultaneously a century ago and just yesterday. Again, very relatable. Reporting on AI has completely destroyed my sense of time.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Demis says he hates seeing himself on video. Relatable.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
That database is available for free to anyone and has millions of users. Probably the ultimate example of virtuous AI—an interesting thing to highlight.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Now showing a clip from the documentary The Thinking Game where John Jumper raises the idea to Demis that AlphaFold could just predict (and release) the structure of all know proteins. His response: "why don't we just do that?"
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
And immediately pivots to AI for science—the virtuous side of AI. My subjective take is that he thinks job loss is very possible but doesn't want to potentiate the backlash.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
He won't say clearly whether his hunch is net more jobs or fewer jobs, but he "doesn't see why" there wouldn't be more opportunities. "There's going to be changes, but overall, it will be better."
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Demis says he doesn't agree with his peers about this. It's super uncertain whether AI creates more jobs, destroys jobs—the future is yet to be written, he says. (So the implication here seems to be that he's blaming rhetoric from Sam/Dario/etc. for the backlash?)
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Allen digging in about the AI backlash now. Interested to hear Demis's thoughts on this.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
(This is, recall, a session about AI for science!)
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Interestingly, Demis says the big leap forward at Googe in the last year has been on the consumer side, i.e. redesigning its products around AI from the ground up. Perhaps—but a pretty boring point from a Nobel Prize-winner! No mention of AI co-scientist, AlphaEvolve, etc?
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Demis's test for AGI, which I admittedly kind of like in principle, is whether a system with a knowledge cutoff of 1901 could re-discover the major physics advancements Einstein made in 1905. In reality, this would never work with current AI—not enough training data before 1901.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
His passion has always been "increasing our understanding of the world around us." Says we are on the cusp of doing that with AI now.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
His current estimated AGI date is ~2030
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
What's making him feel that way? First think he mentions is his experience working with Google's own coding tools. Nice media training there.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Demis: "When we look back, I think we'll say '26, '27 was when it [i.e. AGI, the singularity] was starting."
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
(Though I would argue we should all be AI for science nerds!)
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Definitely something I'll keep following, because I'm a huge AI for science nerd. But for most AI enthusiasts, there probably isn't much to pay attention to there.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Before Demis starts, my main takeaway from the last session is that there are real AI applications of quantum computing, but they derive more from the fact that both are useful scientific tools that can work effectively together than from any intrinsic connection between quantum and AI.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Meanwhile, it is a zoo outside of Demis’s impending AI for science dialogue. GA line is closed, and the poor line managers are very patiently managing some upset attendees. Everyone is desperate to see Demis in person—the simulcast isn’t cutting it.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
One random observation—there are a good number of empty seats in the discussions venue for this talk, which wasn't the case for the Sundar event yesterday. Quantum computing doesn't really seem to be on the top of folks's minds these days.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
What is motivating Neven now? To prove correct the "basic thesis" that "quantum AI is a more powerful form of AI"
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
The key question: “How can quantum help AI?” One connection—quantum computers could generate simulated molecular data that could train AI systems like AlphaFold. Not as glamorous as, say, running superfast networks on quantum chips—but much more realistic, and still important.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Finally we’re getting to quantum AI—why that name? One reason: Neven himself comes from an AI background and did his PhD in self-driving cars. Really unusual background for someone who is now so accomplished in quantum.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Quantum echoes can be used to infer details about molecular structure from experimental data, so there are practical scientific applications.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Ok, we're getting a bit into what quantum computing actually does, and this stuff is pretty cool. Last fall, Google demonstrated quantum computers performing an algorithm (much) faster than classical computers—the first time that happened. It's called quantum echoes.
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
(Still no mention of AI, and session is half over. Makes one wonder why Google calls their quantum division "Google Quantum AI"—maybe they're hoping the AI sparkle will rub off on quantum)
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Grace Huckins @gracehuckins.bsky.social · 20/05/2026
Manyika says there's a list of ~70 algorithms out there where quantum computers are known to have an advantage over classical computers. (I think this is what he's referring to? quantumalgorithmzoo.org) Sound small, but impact depends on how important those algorithms are.
quantumalgorithmzoo.org
Quantum Algorithm Zoo
A comprehensive list of quantum algorithms.
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