Posts Tagged ‘AI’
“The original idea of the web was that it should be a collaborative space where you can communicate through sharing information”*…
From yesterday’s post on the possible (and promising, but also potentially painful) future of computing to a pressing predicament we face today. The estimable Anil Dash on the threats to the open web…
You must imagine Sam Altman holding a knife to Tim Berners-Lee’s throat.
It’s not a pleasant image. Sir Tim is, rightly, revered as the genial father of the World Wide Web. But, all the signs are pointing to the fact that we might be in endgame for “open” as we’ve known it on the Internet over the last few decades.
The open web is something extraordinary: anybody can use whatever tools they have, to create content following publicly documented specifications, published using completely free and open platforms, and then share that work with anyone, anywhere in the world, without asking for permission from anyone. Think about how radical that is.
Now, from content to code, communities to culture, we can see example after example of that open web under attack. Every single aspect of the radical architecture I just described is threatened, by those who have profited most from that exact system.
Today, the good people who act as thoughtful stewards of the web infrastructure are still showing the same generosity of spirit that has created opportunity for billions of people and connected society in ways too vast to count while —not incidentally— also creating trillions of dollars of value and countless jobs around the world. But the increasingly-extremist tycoons of Big Tech have decided that that’s not good enough.
Now, the hectobillionaires have begun their final assault on the last, best parts of what’s still open, and likely won’t rest until they’ve either brought all of the independent and noncommercial parts of the Internet under their control, or destroyed them. Whether or not they succeed is going to be decided by decisions that we all make as a community in the coming months. Even though there have always been threats to openness on the web, the stakes have never been higher than they are this time.
Right now, too many of the players in the open ecosystem are still carrying on with business as usual, even though those tactics have been failing to stop big tech for years. I don’t say this lightly: it looks to me like 2026 is the year that decides whether the open web as we know it will survive at all, and we have to fight like the threat is existential. Because it is…
[Dash details the treats– largely, but not entirely driven by AI and its purveyors. He concludes…]
… The threat to the open web is far more profound than just some platforms that are under siege. The most egregious harm is the way that the generosity and grace of the people who keep the web open is being abused and exploited. Those people who maintain open source software? They’re hardly getting rich — that’s thankless, costly work, which they often choose instead of cashing in at some startup. Similarly, volunteering for Wikipedia is hardly profitable. Defining super-technical open standards takes time and patience, sometimes over a period of years, and there’s no fortune or fame in it.
Creators who fight hard to stay independent are often choosing to make less money, to go without winning awards or the other trappings of big media, just in order to maintain control and authority over their content, and because they think it’s the right way to connect with an audience. Publishers who’ve survived through year after year of attacks from tech platforms get rewarded by… getting to do it again the next year. Tim Berners-Lee is no billionaire, but none of those guys with the hundreds of billions of dollars would have all of their riches without him. And the thanks he gets from them is that they’re trying to kill the beautiful gift that he gave to the world, and replace it with a tedious, extortive slop mall.
So, we’re in endgame now. They see their chance to run the playbook again, and do to Wikipedians what Uber did to cab drivers, to get users addicted to closed apps like they are to social media, to force podcasters to chase an algorithm like kids on TikTok. If everyone across the open internet can gather together, and see that we’re all in one fight together, and push back with the same ferocity with which we’re being attacked, then we do have a shot at stopping them.
At one time, it was considered impossibly unlikely that anybody would ever create open technologies that would ever succeed in being useful for people, let alone that they would become a daily part of enabling billions of people to connect and communicate and make their lives better. So I don’t think it’s any more unlikely that the same communities can summon that kind of spirit again, and beat back the wealthiest people in the world, to ensure that the next generation gets to have these same amazing resources to rely on for decades to come.
Alright, if it’s not hopeless, what are the concrete things we can do? The first thing is to directly support organizations in the fight. Either those that are at risk, or those that are protecting those at risk. You can give directly to support the Internet Archive, or volunteer to help them out. Wikipedia welcomes your donation or your community participation. The Electronic Frontier Foundation is fighting for better policy and to defend your rights on virtually all of these issues, and could use your support or provides a list of ways to volunteer or take action. The Mozilla Foundation can also use your donations and is driving change. (And full disclosure — I’m involved in pretty much all of these organizations in some capacity, ranging from volunteer to advisor to board member.) That’s because I’m trying to make sure my deeds match my words! These are the people whom I’ve seen, with my own eyes, stay the hand of those who would hold the knife to the necks of the open web’s defenders. [Further full disclosure: so is your correpondent, and so have I.]
Beyond just what these organizations do, though, we can remember how much the open web matters. I know from my time on the board of Stack Overflow that we got to see the rise of an incredibly generous community built around sharing information openly, under open licenses. There are very few platforms in history that helped more people have more economic mobility than the number of people who got good-paying jobs as coders as a result of the information on that site. And then we got to see the toll that extractive LLMs had when they took advantage of that community without any consideration for the impact it would have when they trained models on the generosity of that site’s members without reciprocating in kind.
The good of the web only exists because of the openness of the web. They can’t just keep on taking and taking without expecting people to finally draw a line and saying “enough”. And interestingly, opportunities might exist where the tycoons least expect it. I saw Mike Masnick’s recent piece where he argued that one of the things that might enable a resurgence of the open web might be… AI. It would seem counterintuitive to anyone who’s read everything I’ve shared here to imagine that anything good could come of these same technologies that have caused so much harm.
But ultimately what matters is power. It is precisely because technologies like LLMs have powers that the authoritarians have rushed to try to take them over and wield them as effectively as they can. I don’t think that platforms owned and operated by those bad actors can be the tools that disrupt their agenda. I do think it might be possible that the creative communities that built the web in the first place could use their same innovative spirit to build what could be, for lack of a better term, called “good AI“. It’s going to take better policy, which may be impossible in the short term at the federal level in the U.S., but can certainly happen at more local levels and in the rest of the world. Though I’m skeptical about putting too much of the burden on individual users, we can certainly change culture and educate people so that more people feel empowered and motivated to choose alternatives to the big tech and big AI platforms that got us into this situation. And we can encourage harm reduction approaches for the people and institutions that are already locked into using these tools, because as we’ve seen, even small individual actions can get institutions to change course.
Ultimately I think, if given the choice, people will pick home-cooked, locally-grown, heart-felt digital meals over factory-farmed fast food technology every time…
Unless we act, it’s “Endgame for the Open Web,” from @anildash.com. Eminently worth reading in full.
* Tim Berners-Lee… who should know.
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As we protect what’s precious, we might send carefully-calculated birthday greetings to a man whose work helped lay the foundation for both the promise and the peril unpacked in the article linked above above: J. Presper Eckert; he was born on this day in 1919. An electrical engineer, he co-designed (with John Mauchly) the first general purpose computer, the ENIAC (see here and here) for the U.S. Army’s Ballistic Research Laboratory. He and Mauchy went on to found the Eckert–Mauchly Computer Corporation, at which they designed and built the first commercial computer in the U.S., the UNIVAC.

“Where grows?–where grows it not? If vain our toil, / We ought to blame the culture, not the soil.”*…
Even as agricultural land is becoming a coveted investment (as manifest in the purchases of billionaires like Stan Kroenke, Bill Gates, and Jeff Bezos, and by institutions like Nuveen and the Canadian Pension Investment Board and by publicly-traded REITs like Farmland Partners and Gladstone Land Corp), there’s another class of investor– with a very different use case– on the hunt. Joy Shin and Ryan Duffy report…
Last year, a datacenter developer started working the phones along Green Hill Road in Silver Spring Township, PA, outside Harrisburg. Mervin Raudabaugh got the call: a mystery buyer wanted to buy his 261 acres of farmland. The developer offered him $60,000 an acre for the land the 86-year-old had farmed for six decades. Mervin turned it down, selling to Lancaster Farmland Trust for <$2M instead, thereby locking the soil into agricultural use. “I was not interested in destroying my farms,” he told a local Fox affiliate.
Two things about this story might have been unthinkable a generation ago: that anyone would offer a farmer nearly $16M for that land, and that it’d be worth more dead (paved over) than alive (producing food).
The Supermarket of the World
For the better part of a century, that’s what America was. From 1959 through 2018, the country ran an agricultural trade surplus every single year, peaking near $27B in 1981, when soybeans, corn, wheat, and rice flowed out of the heartland in volumes that functioned as soft power and hard trade leverage. (When the Soviet harvest failed in 1963, Khrushchev had to buy American wheat through private US grain companies: at market rate, without credit, shipped on American vessels, which was a humiliation leveraged by his enemies to oust him the following year.)
Then, in 2019, the curves crossed. The U.S. has since run a deficit in four of the last six fiscal years. Last year, we imported $43.7B more in agricultural products than we sold.
Washington has started saying the right words. Last month, the USDA and Department of War signed a memorandum designating agriculture as a national security priority. Multiple bills linking food security to national security percolated through the last Congress. If you talk to the right folks in Washington, you’ll hear agriculture now being discussed the way semiconductors were in 2021 — as a sovereign capacity that a serious country cannot offshore.
All of which sounds right, none of which changes what is happening on the ground. Because the ground is the problem.
In real estate, you think in square feet, in proximity, in comps. Farmland trades in acreage, water tables, growing seasons, and soil composition. And right now, profitably farming that acre is just about the hardest it’s ever been.
Since 2020, seed costs have climbed 18%, fertilizer 37%, fuel 32%, and interest on operating loans 73%. Labor is up 50%. These costs never came back down after the 2021-22 supply chain shock, but crop prices did, creating a double squeeze on farmers. Farmland has appreciated nearly four-fold from ~$1,090/acre in 2000 to $4,170 in 2024.
Some 40% of U.S. farmers are over 65. The American Farmland Trust estimates nearly 300M acres will change hands through inheritance in the next two decades. When it does, the math facing each heir will look a lot like Mervin’s. What would you do: keep farming a business with collapsing margins, or if one was offered, take the check?
A Collision of Old & New Economies
Datacenters, chip fabs, and other megaprojects need what farms need: flat land, abundant water, reliable power, and access to transport.
In Loudoun County, VA, ground zero of America’s datacenter buildout, farmland already lists at $55,000–$79,000/acre, a significant premium over the statewide average because markets are pricing in the possibility the land will convert from farmland to computerland.
Conversions are large and getting larger. Meta’s $10B compute cluster in Richland Parish, Louisiana, sits on 2,250 acres of former soybean fields. Samsung’s new $17B fab occupies 1,200 acres outside Taylor, Texas, a town that once called itself the largest inland cotton market in the world. Micron’s $100B megafab is going up on 1,400 acres of former agricultural land and wetlands in Clay, New York. These are some of the largest private investments in American history, and among the most economically and strategically consequential bets we’re making as a country. You can’t help but notice the symbolism of it all: each is being built on rural land that was growing something one or two generations ago.
Datacenter developers, who already need some PR help, have seen local opposition to these projects emerge as a real planning risk, with farming families showing up at county meetings to argue that once the land converts, it will never come back.
Nobody should pretend this is irrational. A fab generates more economic value per acre than any soybean field ever will, the jobs pay better, and the strategic logic of onshoring chips is sound. But the math that makes each individual conversion obvious is the same math that, in the aggregate, leaves you structurally short on food. The country is losing about 2,000 acres a day, with 18M more projected to convert by 2040.
The Flow of Capital
As Washington works to subsidize the farming, to the tune of $10–$15B in federal support each year, Wall Street is betting on the land underneath it leaving farming.
Nuveen Natural Capital, a subsidiary of TIAA, manages $13.1B in farmland across 3M acres globally and recently launched a REIT targeting $3B in new capital. Those holdings have appreciated far beyond what crop income would justify, because it follows the pattern of a conversion optionality play: buy well-located agricultural land at agricultural tax rates and wait for rezoning.
Nearly 95% of American farms are still family-run, but most are modest operations. The 6% of farms generating $1M+ in sales produce 78% of everything, up from 69% just five years ago. Farming has developed the power-law distribution of a winner-take-most industry, except the winners don’t get to set their own prices. The family farm persists in name, but the economics (and economies of scale) increasingly push it to operate like a corporation or exit.
And institutional investors have some strange bedfellows on their side of the orderbook. Foreign investors held an interest in nearly 46M acres as of 2023 – 3.6% of all privately held farmland – up 85% since 2010. Canada alone holds 15M acres. China, which cannot feed its population from its own soil, built COFCO International into a state-backed grain trader that does $38.5B a year and accumulated millions of acres globally. Saudi Arabia was pumping Arizona’s groundwater through Fondomonte, a state-linked operation growing alfalfa for export, until Arizona killed the leases in 2023. Those countries treat productive soil as something worth a sovereign premium, and something you want to physically control…
[The authors recount the history of “Agro-Doomerism” and consider the (largely technological) potential solutions to the conundrum: “This is a hard problem, but it is a solvable one, as shown by the long history of technological revolutions in agriculture. Today, a set of technologies that were each too expensive or immature a decade ago have converged to the point where the raw inputs for a farm, ex land, can get radically cheaper, all at once.” They enumerate some of those potential saviors, and conclude…}
… The long arc of agro-doomerism and technological revolutions say there’s reasons for optimism. Many times before, the “math” said we’d run out of food; many times before, new science, systems, and processes came along that changed the denominator and proved the doomers wrong. Hoping and praying for AGI or another Norman Borlaug [the father of the Green Revolution] to save our bacon is not a strategy, but abundance-oriented technology stacks that don’t force a zero-sum choice between preservation and productivity might be. We should look at systems that help unfallow and uplift acres, making farmland competitive enough that we don’t pave over too much and one day realize we want the topsoil back – or our ag trade deficit erased.
The bet worth making is 1) to never bet against America, of course, and 2) that something similar will happen here: that productivity, not preservation alone, will close the gap. This is a generational opportunity, a category deeply in the national interest, and a sector wanting more capital, technology, engineers, and founders to show up. Those who get there first will be serving a gigantic market, and attacking a problem that Washington has acknowledged is existential but has no idea how to productively solve.
The supermarket of the world was built on cheap land and cheap water. Neither are cheap anymore, and both are being bid up by us – via population growth – as well as the industrial renaissance that we care so deeply about. But that doesn’t mean we can forget foundational inputs – literally – to our way of life…
Farming vs. fabs (and data centers)… American agriculture is caught in a collision between old and new economies: “The Supermarket of the World.”
* Alexander Pope
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As we contemplate cultivation, we might note that this, the third week in March, is National Agriculture Week.
“Beauty is the first test: there is no permanent place in this world for ugly mathematics”*…
Is mathematical beauty real? Or is it just a subjective, human ‘wow’ that is becoming redundant in an AI age? Rita Ahmadi explores…
It is a hot July day in London and I take the bus to Bloomsbury. I often come here for the British Library, the British Museum or the London Review Bookshop. More than a location, Bloomsbury feels like stepping into a work of art – maybe one of Virginia Woolf’s stories, or Duncan Grant’s paintings.
This time, I am here for mathematics: the Hardy Lecture at the London Mathematical Society (LMS), named after G H Hardy, a professor of mathematics at the University of Cambridge, a member of the Bloomsbury Group, and a president of the LMS. You may know him from the film The Man Who Knew Infinity (2015), in which he’s played by Jeremy Irons.
The 2025 lecture is by Emily Riehl of Johns Hopkins University in Baltimore, who is talking about a complex mathematical ‘language’ known as infinity category theory: could we teach it to computers so that they could understand it? If successful, computer programs could verify proofs and construct complex structures in this area.
A few seats to my left, I recognise Kevin Buzzard, wearing the multi-coloured, patterned trousers he’s known for among mathematicians. Based at Imperial College London, Buzzard is working on a computer proof assistant called Lean. His interest is personal: after long disputes with a colleague over a flawed proof, he lost trust, as he often puts it, in ‘human mathematicians’. His mission now is to convince all mathematicians to write their proofs in Lean. In the Q&A after one of his talks, he said of the debate between truth and beauty in mathematics: ‘I reject beauty, I want rigour’ – though his vibrant sense of fashion suggests otherwise.
Interest in an AI-driven approach to mathematics has been exponential, and many mathematicians have left traditional academic research to explore its potential. Recently, one group of distinguished mathematicians designed 10 active, research-level questions for AI to tackle. At the time of writing, various AI companies and researchers had claimed to find solutions, which were under evaluation by the community.
Sitting in the room in Bloomsbury, I stared at the Hardy plaque and wondered: would Hardy find proofs generated by AI beautiful? I wasn’t sure. He believed there should be a strong aesthetic judgment in mathematics, drawing parallels with poetry, and argued that beauty is the first test of good mathematics. He went as far as to say that there is no permanent place in the world for ugly mathematics.
If asked, many mathematicians today still talk about the aesthetic appeal of one approach over another.
Yet we live in a different century to Hardy and his Bloomsbury peers, with different technologies and techniques, so perhaps we need a clearer definition of what mathematical beauty actually is. Over the history of mathematics, we can find examples where both rigour and the pursuit of beauty have shaped mathematics itself. So, if we’re completely replacing this with a computer-assisted quest for truth and rigour, we ought to know what we’d be abandoning, if anything. Is mathematical beauty like the beauty in literature and art – or is it something else?…
[Ahmadi explores the idea of “beauty,” generally and in mathematics; traces the rise of AI as a tool, and concludes…]
… my own definition of beauty in mathematics would be as follows:
“Asimplemathematical structure that surprises even the most experienced mathematicians and transfers a sense of vitality.”
But is an AI-assisted proof simple or surprising? How do we define vitality in a machine? On these questions, the jury is out. Myself, I am torn. Maybe models just need more training to match our creativity. But I also wonder whether our limbic system is required. Can we write proofs without emotional kicks? I am also unsure if perfectly efficient brains can come up with novel revolutionary ideas.
Ultimately, this debate is about more than aesthetics; it is closely tied to the development of AI-assisted mathematics. If AI models can produce novel mathematical structures, how should we direct them? Is it a search for beautiful or truthful structures? A question that possibly guides the years to come.
Some mathematicians say they prefer the ‘truth’ and only the ‘truth’. However, my recent discussions with mathematicians showed me that most immediately recognise, enjoy, and even wholeheartedly smile at a beautiful piece of maths. In fact, they spend their whole lives in search of one…
Fascinating: “The eye of the mathematician,” from @ritaahmadi.bsky.social in @aeon.co.
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As we embrace elegance, we might send garcefully-calculated birthday greetings to Eduard Heine; he was born on this date in 1821. A mathematician, he is best remembered for his introduction of the concept of uniform continuity, for the Mehler–Heine formula, and for the Heine–Cantor theorem… all of them, quite beautiful.









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