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Thrilling to see a little coverage of my future food dinner in the @TheEconomist!
People can invoke a future of GLP-1s and meal replacement shakes all they want, but I am pulling for the Food Abundance Agenda.
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Xander Balwit
881 posts
Xander Balwit
@AlexandraBalwit
Editorial @AnthropicAI. Formerly editor-in-chief at @AsimovPress. Well-fed vegan.
Katılım Mart 2022
748 Takip Edilen2.9K Takipçiler
I love Asimov Press! I hope this pause doesn’t last long and I can go back to simultaneously enjoying all their pieces and being jealous that Works in Progress didn’t get to publish them.
Asimov Press@AsimovPress
We're pausing @AsimovPress for awhile. Thanks to everyone who has taken this journey with us so far. We will plan to see you again in a few months :) Read: asimov.press/p/pause
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As excited as we both are about what's to come, this is a hard transition for us. Working on @AsimovPress was such a joy. On any given day, I was deep in mid-19th century books like "An account of the fishes found in the river Ganges and its branches Atlas" looking for primary research or having phone calls with our brilliant contributors. I am so proud of what we built, and grateful for all I learned along the way.
Asimov Press@AsimovPress
We're pausing @AsimovPress for awhile. Thanks to everyone who has taken this journey with us so far. We will plan to see you again in a few months :) Read: asimov.press/p/pause
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@AndyMasley i grew up on a big scawwy monsanto farm (my neighbors even raised the same kind of cattle!) and could write a lot of words that would make both ends of the horseshoe really really mad
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Fine if people want to use their private property rights to reject extremely generous deals, but the way this is framed implies data centers are shifty for offering farmers crazy amounts of money. Older farmer goes on a crazy confused rant about food disappearing and they just air it without comment or clarification.
Farmers should be understood as one industry among many and not treated like they're magical sages who can see things the rest of us can't.
Jack@jackunheard
🚨BREAKING: Kentucky family rejects a $26 million offer to turn their farmland into a data center, roughly 10x the area’s going rate. “If it’s my way, I’ll stay and hold and feed a nation. 26 million doesn’t mean anything.”
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@NikoMcCarty It's in the works! If only someone at my work place knew how to code fields like that.
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“AI for science” has become the subject du jour; the theme of a steadily growing number of hackathons, fellowships, and research salons.
As this fervor grows, I am excited to see Anthropic participate in, and help facilitate, such discussions.
When I reflect on why this thrills me, I am reminded of what historian Horace Judson writes inThe Eighth Day of Creation: "Scientists like to ride the cutting edge of a subject, close enough to hear the hiss."
At Anthropic, we are flush against the engine, helping to make the very tools that we hope could "10x the rate of major discoveries." At the same time, we have to ensure we are not getting ahead of ourselves. AI’s scientific capabilities are still incipient. While models are already proving capable at certain aspects of scientific research, they can also hallucinate results, be overly sycophantic, and get stuck on problems a domain practitioner would find trivial.
It is our hope that this blog explores the tensions in this current moment of AI for science, acknowledging where AI-driven science has much further to go while also celebrating the ingenuity that is already unfolding.
Anthropic@AnthropicAI
Introducing the Anthropic Science Blog. Increasing the pace of scientific progress is a core part of Anthropic’s mission. The Science Blog will feature new research and stories of how scientists are using AI to accelerate their work. Read the intro: anthropic.com/research/intro…
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Prof. Matthew Schwartz with some sage advice (and an extremely solid through-line for both these pieces):
"Regarding the question of where this leaves human grad students, my advice to students at all levels (and in any field) is to take LLMs seriously. Do not fall into the hallucination trap: I asked the LLM X and it made something up, so I’m just going to wait for it to improve.' Instead, get to know these models. Learn what they are good at and what they fail at."
I have also noticed a tendency toward "I will just wait until they are super good at the thing I want it to do for me." However, even given that the models likely will keep improving, familiarizing yourself with them now will put you so far ahead. I think about my own AI fluency all the time, and wish I was using them even earlier. I would rather have to deprecate my process while learning some managerial skills than watch something cook that I can't even parse.
Anthropic@AnthropicAI
We’re launching with two new posts. Can AI do theoretical physics? Harvard physicist Matthew Schwartz led Claude Opus 4.5 through a graduate-level calculation. AI can’t yet do original work autonomously, but it can vastly accelerate it. Read more: anthropic.com/research/vibe-…
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Congrats @adjajadikerta, this came out so well!
Niko McCarty.@NikoMcCarty
I think this is one of the most important articles we've published at @AsimovPress. If you read carefully, there are at least 3-4 ideas in here that *should* be large, well-funded research programs. The article begins by arguing that existing AI models are good at predicting things *within* an existing framework, but are not good at building new frameworks (and, thus, cannot do paradigm-shifting science). As AI models become more widespread in science, they therefore risk "hypernormal science," meaning we will have less actual breakthroughs and more incremental discoveries. The author (Alvin Djajadikerta) supports this argument with several examples, one of which comes from germ theory: "In the mid-nineteenth century, doctors thought that illness was caused by noxious air, and kept meticulous records accordingly. The physician William Farr mapped cholera deaths across London and found they correlated strongly with low elevation, which he thought was because noxious vapors accumulated in low-lying areas. He was actually picking up a real signal: low-lying districts were closer to the contaminated Thames River. But because his data was organized around air quality, he could not find the true cause..." "An AI trained on Farr’s records could have found even subtler correlations, and would have been genuinely useful for predicting which neighborhoods would be hit hardest in the next outbreak. But it would not be able to derive the concept of a waterborne microorganism, as this was not a variable anyone had yet recorded." After giving other examples of this, Alvin begins mapping out ideas to solve this problem and create AIs that are "visionary" rather than "merely predictive." My favorite idea, of his, is to use AI agents as a model organism for metascience. The gist is that many paradigm shifts seem to happen under particular conditions. "Bell Labs, Xerox PARC, and the early Laboratory of Molecular Biology at Cambridge all produced extraordinary concentrations of paradigm-shifting work," Alvin writes, "mostly because they were small groups with enough institutional protection to pursue ideas that looked unproductive by conventional measures." Alvin continues: "We have never been able to run controlled experiments on scientific institutions; it is impossible to create labs that differ in only one respect and compare the results. But we could run AI agents in parallel populations under different research conditions, and analyze the results...In this sense, AI scientists may give metascience its first model organism." "For instance, one could test how group structure shapes discovery: do small, isolated teams produce more conceptual reorganization than large, well-connected ones? Do flat hierarchies outperform rigid ones? One could run AI agent populations that vary these factors independently and measure the results — something that is impractical to do with real institutions..." This essay is excellent throughout and I hope you'll read it.
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@mold_time Woah. I didn't know that about Robert Caro. That's extremely cool
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Inkhaven is great, but how do you write an effortpost if you have to publish 500 words a day?
slimemoldtimemold.com/2026/03/22/eff…
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Also, if there is an AI for science angle you'd like us to cover, drop us a line. We are setting up an email at scienceblog@anthropic.com.
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The pieces in this blog will be eclectic. While we intend to publish some features and deep dives, we will also share plenty of workflows and firsthand accounts of using AI for scientific research. Some pieces will be more practical, while others will explore history or theory. Some will be geared toward folks more familiar with the technical aspects of scientific computing, and others will be enjoyable to, say, your humanist pippy pops who struggles with his cell phone but is interested in how AI might affect scientific integrity.
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Some professional news: I'm joining Anthropic's editorial team!
I'll be leading the team's work on economics and policy, and working closely with the Anthropic Institute (about which more here: x.com/AnthropicAI/st…).
Dramatic AI progress is coming in the next two years, and researchers+policymakers+the public alike will need the best information available about that shift. It's a big new challenge, and I can’t wait to get started.
[Some important housekeeping: I’ll keep running Statecraft at @IFP as a Nonresident Senior Fellow! And will remain on the board at Recoding America/ as a journalist-in-residence at @johnshopkins School of Government and Policy. I start at Anthropic in a few weeks.]
The move from frontier think tank to frontier lab is bittersweet. I’ve been at IFP for three years, and it’s been the most formative professional experience of my life. In a short period of time, IFP has become one of the most effective institutions in DC, generating a truly shocking amount of counterfactual policy impact (not all of it public).
Being on this team has permanently raised my ambitions. I'm very grateful.
Anthropic@AnthropicAI
Introducing The Anthropic Institute, a new effort to advance the public conversation about powerful AI. anthropic.com/news/the-anthr…
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@s8mb I think they may have overcorrected on that one. Imagine one elongated banana seed. Based
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One of the last essays I was heavily involved in before departing. Absolutely worth a read. What happens when AI-driven science becomes inscrutable? How much should we be able to understand? (After all, ~18% of drugs lack a well-defined mechanism of action, yet it seems fine).
Asimov Press@AsimovPress
AI scientists could one day design experiments, test hypotheses, and make discoveries faster than humans. But what if their breakthroughs are so advanced we can't understand them? This is the "legibility problem." Much like chess engines play moves that grandmasters can't comprehend, AI scientists might generate knowledge beyond human understanding. To counteract this, we must build new scientific infrastructure. We will need new forums to store AI-generated findings so that they can be interrogated and communicated. We have partial precedents in preprint servers and structured databases like UniProt, but nothing designed for the scale and speed of AI-driven science. We will also need systems designed specifically for explication rather than discovery, capable of making AI-generated findings legible to human researchers so that they can be evaluated and prioritized for further study. New column by Matthew Carter
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What a wild week to join @AnthropicAI. Their courage and conviction are simply staggering (even if it means everyone is too busy worrying about the DoW to tell me where the bathroom is).
I feel very lucky to work here.
Anthropic@AnthropicAI
A statement on the comments from Secretary of War Pete Hegseth. anthropic.com/news/statement…
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"To write is AI, to edit is divine" Stephen –– King.
Evan 📟⌛️@ubuto23
Why does an Ai “lab” have an editorial team 😬
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@AsimovBio @alectricity Finally, I cannot wait to join Anthropic's editorial team and work alongside such talents as @sylviebcarr, @rebeccahiscott, @StuartJRitchie, @jkeatn, and @keirbradwell
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I am grateful also for the support from @AsimovBio, especially @alectricity. We had incredible guidance and leadership while remaining extremely nimble and free to follow our interests.
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After 2+ incredibly rewarding years at @AsimovPress, I am moving on. This coming week, I will be joining the editorial team at Anthropic.
Finally, my penchant for em-dashes will meet a welcome embrace. I couldn't be more grateful or more excited for what's next.
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