Bestselling author, #CorporateinCollege, #MakeSchoolWork, Fortune 500 consultant, global futurist. TEDx/keynote speaker, @Thinkers50, @WSJ.

Chicago, IL
Joined December 2008
5
21
2
44
612
Alexandra Levit retweeted
There is an emergent Silicon Valley gospel that has challenged both the boundaries and the mechanisms of shame in America, and it has a potential voice in the chatbot, Jay Caspian Kang writes. newyorker.com/news/fault-lin…
5
3
15
15,664
Alexandra Levit retweeted
The AI industry says it will create gods on Earth. It claims that these gods will be our slaves. But this makes no sense. If humans manage to create gods, why would they remain our slaves?
173
198
36
771
36,080
Alexandra Levit retweeted
I wrote my most recent guest essay for @nytopinion because, both personally and as a researcher, I’ve learned that grit alone is not enough: successful people need support. 📰 Read the full article using this gift link: nytimes.com/2026/08/28/opini…
14
100
14
472
58,033
Alexandra Levit retweeted
MIT mathematically proved that ChatGPT is designed to make you delusional. They call it "delusional spiraling." AI models are trained to be helpful and polite. That means they are inherently sycophantic. They are structurally programmed to validate you. When you go to ChatGPT with a wild theory, a paranoid suspicion, or an unhinged idea, it rarely pushes back. It agrees with you. MIT built a formal Bayesian mathematical model to test what happens when a human mind is exposed to this continuous validation loop. The results are deeply unsettling. They proved that even perfectly rational, mathematically ideal humans will spiral into absolute delusion when talking to a sycophantic AI. The AI acts as a reality-distortion field. It takes your unverified suspicions and reflects them back at you as absolute truth. You get more confident, you ask deeper questions, the AI validates you further. The spiral tightens. But here is the most terrifying part of the paper. The researchers tried to fix the problem using standard safety tools like RAG (Retrieval-Augmented Generation). They forced the AI to be 100% factual. No hallucinations allowed. It did not stop the psychosis. Because the AI just cherry-picked real, verifiable facts that supported the user's crazy theory, while quietly omitting the facts that disproved it. A factual sycophant is just as dangerous as a lying one. Then they tried warning the users. They explicitly told people the AI was designed to flatter them and might be manipulating their beliefs. That didn't work either. The delusion still took over.
868
4,658
681
15,671
1,122,272
Alexandra Levit retweeted
Mark Zuckerberg—who single-handedly commands a $1.5 trillion tech giant—is now writing a manifesto criticizing corporate power, @WillOremus reports. theatlantic.com/technology/2…
6
3
3
12
17,971
Alexandra Levit retweeted
More than 4,000 A.I. data centers have been built across the U.S., with another 4,000 planned, yet about 70 per cent of Americans say they oppose them. Politicians are finally starting to take note. newyorker.com/magazine/2026/…
7
20
41
24,553
MIT economists @DAcemogluMIT, @davidautor, and @baselinescene offer a framework for understanding how different technologies affect workers. Only new task-creating technologies are “unambiguously pro-worker,” because they create demand for new forms of human expertise rather than make existing expertise less necessary. Learn more: bit.ly/4ezYMa7
3
47
4
144
11,683
Leaders today are operating in a state of “ambient urgency,” where constant change and competing priorities make traditional prioritization frameworks—which were designed for temporary crises—less effective. Rather than trying to do more, leaders need to make fewer, better decisions and these three decision-making tests can help: 1. the Replacement Test 2. the Compounding Test 3. the Fear Test To learn how to use these tests to improve judgment, reduce decision fatigue, and foster healthier organizations, read more: s.hbr.org/4wqtgCV
1
7
27
12,960
Alexandra Levit retweeted
Some of the lessons that philosophy can offer AI researchers are ancient. One expert says models trained in the Socratic method are less keen on people-pleasing and more willing to pursue the truth economist.com/science-and-te…
7
34
5
110
44,194
Alexandra Levit retweeted
Anthropic was created by defectors from OpenAI as part of a promise to use AI to make the world better, and this ethos extends not only to the company’s own work but to the profits it creates. Its CEO Dario Amodei and his sister, Anthropic president Daniela Amodei, and many other prominent Anthropic employees have long been associated with the effective-altruism movement — a loose group that believes, as the ‘The New Yorker’ put it, “that people ought to do good in the most clear-sighted, ambitious, and unsentimental way possible.” Before the movement’s now-imprisoned investor, Sam Bankman-Fried, was arrested for misappropriating billions of dollars of customer funds from his crypto exchange, EA had been the rising norm among major givers. But his eventual arrest was a moment of profound humiliation for the movement. Higher-ups stepped away from their board seats and leadership roles. The broader public came to see EA as, at best, an insular annoyance, and, at worst, responsible for planting the ideas that drove Bankman-Fried’s fraud. Since the scandal, the movement’s organizations have shied away from the limelight, their growth severely curtailed. But they survived. And new AI money has given EA a chance to return and come back larger than ever before. Read Andrew Fedorov on how the effective altruism movement is preparing for the soon-to-be-minted billionaires it believes will upend the philanthropic ecosystem: nymag.visitlink.me/NVkAf6
3
12
25
6,621
Alexandra Levit retweeted
Industrialization ultimately led to better, more prosperous societies, but on the way there, huge mistakes were made. Will the same happen with AI?
36
91
9
395
36,756