Alexandra Levit

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

[The New Yorker @NewYorker]

The next decade is unlikely to collapse the university system. But it will bring a lot of change to higher education. https://t.co/jkCO9tOEF6

[The Wall Street Journal @WSJ]

What happened when 40 leading minds huddled to envision U.S. society in 2030 and how artificial intelligence will shake up the economy and jobs. https://t.co/2Dwm50LkBQ

[The New Yorker @NewYorker]

In 2009, 70 per cent of high-school graduates—an all-time high—went on to pursue some form of higher education. Today, only 61 per cent are doing so. Jay Caspian Kang predicts this number will continue to decline.
https://t.co/jkCO9tOEF6

[Valerio Capraro @ValerioCapraro]

Students without access to LLMs are 2 to 8 times more creative than students with access.

That is the finding of a new paper comparing 2,200 college admissions essays written by humans before ChatGPT with essays generated by GPT-4.

The key point is not individual creativity. GPT-4 can write well, sometimes better than individual students. The problem is collective creativity.

Each new human essay added new semantic territory. New ideas. New angles. New experiences. New combinations.

Each new GPT-4 essay added much less.

The authors call this the diversity growth rate: how much novelty each additional text contributes to the collective pool of ideas.

Humans kept expanding the pool. GPT-4 made the pool converge.

Even when the authors pushed GPT-4 to be more creative, changed parameters, or used chain-of-thought prompting, the homogenizing effect remained.

This is the real danger of AI in education.
Not that students will write worse.
That everyone will write the same.

*
Full paper in the first reply

[The Wall Street Journal @WSJ]

Employers are clamoring for workers who can do doctor-like work but who are trained faster and can cost them less. https://t.co/wAzTIMcPwh

[The Economist @TheEconomist]

Many suspect AI is to blame for growing unemployment among graduates in America. To find out whether this is the case, we compared labour-market outcomes before and after the arrival of large language models. Register for free to discover our findings https://t.co/BwM7mYGbDO

[Alexandra Levit @alevit]

https://t.co/w9sETJoHjJ

[David Eagleman @davideagleman]

"It's easy to spot a hallucination only when it's bizarre. For all we know, we hallucinate all the time." - Incognito: The Secret Lives of the Brain

https://t.co/DvslJWKsrE

[The Washington Post @washingtonpost]

Labor Department data from March showed that 1 in 3 men across the U.S. are not working or looking for a job. https://t.co/9naFyTHzX2

[Steven Pinker @sapinker]

Suicide is the ultimate existential decision ("To be or not to be"), and one would think that it would engage the deepest reflection. But in fact suicide decisions are driven by astonishingly simple circumstances, in particular how easy is it is to do (whether cooking gas is lethal, whether toxic pesticides are within easy reach, whether a gun is in the house, whether a scenic bridge or overlook has a high fence). New Harvard study shows that reducing the hotline number to 3 digits (988) saves lots of lives! — Harvard Gazette https://t.co/MYnH4O3NV2

[The Wall Street Journal @WSJ]

Writers are going all out to stay off the radar of armchair AI detectors. “It’s like the new McCarthyism.” 🔗 https://t.co/64I7z7asw1

[The New Yorker @NewYorker]

A 2025 study out of M.I.T. cautioned that “the integration of LLMs into learning environments may inadvertently contribute to cognitive atrophy.” This danger hasn’t slowed the advancement of A.I. in schools. https://t.co/nPxSO7Hdcb

[Jay Van Bavel, PhD @jayvanbavel]

Most participants who had a 20-minute discussion with AI chatbots about health, careers or relationships followed its advice.
However, 2-3 weeks later, participants receiving advice from AI showed no sustained well-being.
These findings reveal that LLMs exert substantial influence over real-world personal decisions without delivering measurable psychological benefits.

https://t.co/QSZN5ShF4T

[Professor Michael Flood @MichaelGLFlood]

The ‘manosphere’ has already infiltrated the workplace. We’re only just noticing
As conversations about gender and DEI recede in some workplaces, language from the ‘manosphere’—from ‘alpha leadership’ to ‘high-value employees’—is becoming more visible.
https://t.co/OpFrc6JEh6

[Dana Goldstein @DanaGoldstein]

With student A.I. use/abuse now ubiquitous, professors and teachers are killing off take-home essays and papers. Students are writing inside the classroom, often by hand.

It's part of the big rethink happening on tech and learning. My new report here:

https://t.co/O0o9qplXyy

[Alexandra Levit @alevit]

https://t.co/31yo5Euh1l

[The New Yorker @NewYorker]

One in five student interactions with generative A.I. “involved cheating, self-harm, bullying, and other problematic behaviors,” according to a report published by Education Week. Why is the technology being adopted by schools? https://t.co/nPxSO7Hdcb

[The Economist @TheEconomist]

Societies urgently need to confront the ethics of prediction, writes Carissa Véliz https://t.co/5lMbpXg1UC

[Alexandra Levit @alevit]

Leveraging work-based learning to solve the entry-level career crisis: with @GPSEdPartners, @successfactors, @CSendraIO, @joeyvpriceHR, @kylejforrest, @calimorrison, and @bazzell.
https://t.co/gxK3PJJxkr

[Nicholas Fabiano, MD @NTFabiano]

A stronger sense of purpose is associated with a longer life.