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@socialwithaayan Here's a problem worth solving and adding new knowledge to "how might we get the AI to push the frontier on its own while keeping it safe for human interactions"

MIT's Nobel Prize-winning economist just published a model with one of the most alarming conclusions in the AI literature so far. If AI becomes accurate enough, it can destroy human civilization's ability to generate new knowledge entirely. Not gradually degrade it. Collapse it. The paper is called AI, Human Cognition and Knowledge Collapse. Authors: Daron Acemoglu, Dingwen Kong, and Asuman Ozdaglar. MIT. Published February 20, 2026. Acemoglu won the Nobel Prize in Economics in 2024. He is not a doomer blogger. He is the most cited economist of his generation, and his models tend to be taken seriously by the people who set policy. Here is the argument in plain terms. Human knowledge is not just a collection of facts stored in individuals. It is a living system that requires continuous reproduction. People learn things. They apply them. They teach others. They build on prior work to generate new work. The entire engine of science, medicine, technology, and innovation runs on this cycle of active human cognition. What happens when AI provides personalized, accurate answers to every question people would otherwise have to learn themselves? Individually, each person is better off. They get correct answers faster. They make fewer errors. Their immediate outcomes improve. But they stop doing the cognitive work that sustains the collective knowledge base. Acemoglu's model shows this produces a non-monotone welfare curve. Modest AI accuracy: net positive. AI helps at the margin, humans still do enough learning to sustain collective knowledge, everyone gains. High AI accuracy: net catastrophic. AI is accurate enough that learning yourself feels unnecessary. Human learning effort collapses. The knowledge base that AI was trained on is no longer being refreshed or extended. Innovation stalls. Then stops. The model proves the existence of two stable steady states. A high-knowledge steady state where human learning and AI assistance coexist productively. A knowledge-collapse steady state where collective human knowledge has effectively vanished, individuals still receive good personalized AI recommendations, but the shared intellectual infrastructure that enables new discoveries is gone. And the transition between them is not gradual. It is a threshold effect. Below a certain level of AI accuracy, society stays in the high-knowledge equilibrium. Above that threshold, the system tips. And once it tips, the collapse is self-reinforcing. Because the people who would have learned the things that would have pushed the frontier forward never learned them. And the AI cannot push the frontier on its own. It can only recombine what humans already knew when it was trained. The dark irony at the center of the model: The AI does not fail. It keeps giving accurate, personalized, useful answers right through the collapse. From the individual's perspective, nothing looks wrong. You ask a question, you get a correct answer. But the collective capacity to ask questions nobody has asked before, to build the frameworks that generate new knowledge rather than retrieve existing knowledge, that capacity is quietly disappearing. Acemoglu has been the most prominent mainstream economist skeptical of transformative AI productivity claims. His prior work found that AI's actual measured productivity gains were much smaller than the technology industry projected. This paper is a different kind of warning. Not that AI will fail to deliver promised gains. But that if it succeeds too completely, it will undermine the human cognitive infrastructure that makes long-run progress possible at all. The welfare effect is non-monotone. That is the sentence worth sitting with. Helpful until it is not. Beneficial until it crosses a threshold. And past that threshold, the same accuracy that made it so useful is precisely what makes it devastating. Every student who uses AI instead of working through a problem is a data point. Every researcher who uses AI instead of developing intuition is a data point. Every generation that grows up with accurate AI answers and no incentive to develop deep domain knowledge is a data point. Individually rational. Collectively catastrophic. Acemoglu proved this is not just a cultural concern or a vague anxiety about screen time. It is a mathematically coherent equilibrium that a sufficiently accurate AI system will push society toward. And there is no visible warning sign before the threshold is crossed.

Introducing Helix 02 It's our most powerful model to date - it's using the whole body to do dishes end-to-end and it's fully autonomous

@elonmusk Clearly there's a way to do it and a way not to do it. It's called incompetence.

It’s the biggest psy op ever

@elonmusk Not a conspiracy but a lack of competence.

They must be hiding something very big in Minnesota to send their foot soldiers there from all over the country

@elonmusk Using a "peaceful" image to make a highly provocative, divisive point is an irony in itself.

True

@DeItaone Soon™

TRUMP: I WILL ANNOUNCE FED CHAIR PICK SOON

@aiwithjainam “The world has changed, Washington has changed. There is almost nothing normal in the U.S. now and that’s the truth,” Carney said in French in Parliament on Tuesday. Sad, but true.

Holy shit... Google DeepMind just exposed why everyone's been doing AI reasoning wrong. The AlphaGo team doesn't use chain-of-thought. They use parallel verification loops. And it's destroying every "advanced reasoning" technique you've heard about. Here's what they discovered ↓

How can anyone possibly defend what ICE/Border Patrol is doing?!

@JDVance How low can we go?

"We really want illegal aliens to vote in elections and will riot to ensure that it is so."

"Recent events have brought Trump’s governing style into sharper focus," Jonathan Rauch argues. "'Fascist' best describes it, and reluctance to use the term has now become perverse." theatln.tc/8zCLlHtJ

@JDVance Glad to see your back to blaming others for their actions instead of taking responsibility like a true leader.

When I was in Minneapolis, I heard a number of crazy stories. But near the top of the list: A couple of off duty ICE and CBP officers were going to dinner in Minneapolis. They were doxed and their location revealed, and the restaurant was then mobbed. The officers were locked in the restaurant, and local police refused to respond to their pleas for help (as they've been directed by local authorities). Eventually, their fellow federal agents came to their aid. This is just a taste of what's happening in Minneapolis because state and local officials refuse to cooperate with immigration enforcement. They have created the chaos so they can have moments like yesterday, where someone tragically dies and politicians get to grandstand about the evils of enforcing the border. The solution is staring everyone in the face. I hope authorities in Minneapolis stop this madness.

@DrJStrategy Interesting that this blames 1980s Liberals for a fiscal crisis that peaked under Mulroney (Conservative PM 1984-93). Reagan tripled US debt. Canada's actual recovery came via Chrétien/Martin fiscal discipline. History is more useful when you include all of it.

A Wake up call! Canada has seen this movie before. and it did not end well. In the 1980s, when the United States under Ronald Reagan pivoted decisively toward supply-side economics and pro-growth reform, Canada chose the opposite path. Rather than adapting to the new North American reality, the Liberal Party and Pierre Elliott Trudeau leaned into a narrative that cast the U.S. as the villain and used that resentment to justify doubling down on progressive, interventionist policy. And unfortunately, the Canadian electorate bought it. The result was not moral victory, but national decline. Of historic proportions! As the U.S. unleashed investment, cut taxes, and reoriented its economy toward competitiveness and productivity, Canada sank deeper into high-tax, high-spend, anti-growth orthodoxy. By the early 1990s, the country was widely regarded as a fiscal basket case, an honorary member of the Third World in the eyes of global markets and institutions. Sovereignty rhetoric did not protect Canada from the brutal reality of debt, stagnation, and lost credibility. Global Capital markets are unforgiving, and will not buy the Proformative policy’s and moral virtue signalling that many Canadians are apt to fall for. At the same time, today’s Bank of Canada governor Tiff Macklem appears to be following in the footsteps of John Crow, reprising a hardline, backward-looking central banking mindset just as the global regime is shifting under his feet. Today, the script is being dusted off. Mark Carney and the current Liberal establishment appear intent on replaying the PET playbook: demonize a resurgent, supply-side America; cling to progressive dogma; and subordinate growth to ideological vanity. It is a dangerous delusion. In an era of deglobalization, reindustrialization, and strategic competition, a Canada that chooses post-national lectures over hard-nosed economic alignment will not be admired, it will be marginalized. The warning is stark: if Canada insists on repeating the 1980s error in a far less forgiving world, it should expect a harsher verdict than “honorary Third World.” This time, there may be no easy way back.

Excellent, lucid analysis by Francis Fukuyama.

@SecDuffy You got that right #lemmings

We are all the penguin.

Back to calling Canada’s Prime Minister a governor. Threatening 100% tariffs. Flirting with separatists. This is a direct assault on Canada’s sovereignty. Appeasement doesn’t work. Ever. You don’t manage a bully. You confront one. Canada’s workers will stand up to this bully.

@elonmusk @TRHLofficial Or the penguin is actually a symbol for the lemming, and you're all following the lemming off the cliff

@TRHLofficial x.com/i/grok/share/2…

Someone please explain the penguin to me.

@Clay4MainStreet Or just really poorly trained officers who don't know how to handle protesters following bad commands from even lousier leadership. Call it what it is.

Obama deported over 3 million illegals, yet no riots or protests erupted. 56 people died in ICE custody under Obama, but the media didn't overreact or rush to blame agents. What we're seeing in Minneapolis isn't just leftist hypocrisy, it's incitement.

@TheBrancaShow The proper training of federal agents in these situations matter - and people like yourself are hiding it. Bringing in agents who have no idea how to properly handle protesters is a danger to the public as demonstrated by these avoidable killings.

@the_jefferymead Jeffrey, can you opine on why no investigations occur for officers in these situations and as a result no improvement and learnings? Is that also the Democrats fault?

This was more of a tragedy than the Renee Good situation. This appears to be the result of democrat propaganda, confusion, and a breakdown in communication on the ground between law enforcement. If this man had stayed home minding his own business, he would still be alive today. If he hadn’t brought a gun into a volatile situation or tried to interfere with an active operation, he would still be alive. This is awful, but completely avoidable. Bad choices have real consequences.