Andrew Jack

Business school and the pursuit of rigour, resonance and relevance - ranking powered by ⁦⁦@overtonio⁩ ⁦@SSRN⁩ ⁦@OpenAlex_org⁩ ⁦@TheLensOrg⁩ ⁦@TheCaseCentre⁩ ⁦@opensyllabus⁩ ⁦@Scite⁩ ⁦@wmijnhardt⁩ ft.com/content/7e81e1…

Waqas Ahmad checks an app on his phone, which uses satellite data to identify which areas of his field in Punjab need more attention. Kisan360, which features an AI-generated Urdu voice, was developed with researchers from China. w/@EleanorOlcott @AJack as.ft.com/r/4ee9b074-698…

Views of US history: @KenBurns vs @realDonaldTrump The American Revolution took place two and a half centuries ago, but the battle over how to frame the story of the country’s independence continues to rage.

This paper from Harvard and MIT quietly answers the most important AI question nobody benchmarks properly: Can LLMs actually discover science, or are they just good at talking about it? The paper is called “Evaluating Large Language Models in Scientific Discovery”, and instead of asking models trivia questions, it tests something much harder: Can models form hypotheses, design experiments, interpret results, and update beliefs like real scientists? Here’s what the authors did differently 👇 • They evaluate LLMs across the full discovery loop hypothesis → experiment → observation → revision • Tasks span biology, chemistry, and physics, not toy puzzles • Models must work with incomplete data, noisy results, and false leads • Success is measured by scientific progress, not fluency or confidence What they found is sobering. LLMs are decent at suggesting hypotheses, but brittle at everything that follows. ✓ They overfit to surface patterns ✓ They struggle to abandon bad hypotheses even when evidence contradicts them ✓ They confuse correlation for causation ✓ They hallucinate explanations when experiments fail ✓ They optimize for plausibility, not truth Most striking result: `High benchmark scores do not correlate with scientific discovery ability.` Some top models that dominate standard reasoning tests completely fail when forced to run iterative experiments and update theories. Why this matters: Real science is not one-shot reasoning. It’s feedback, failure, revision, and restraint. LLMs today: • Talk like scientists • Write like scientists • But don’t think like scientists yet The paper’s core takeaway: Scientific intelligence is not language intelligence. It requires memory, hypothesis tracking, causal reasoning, and the ability to say “I was wrong.” Until models can reliably do that, claims about “AI scientists” are mostly premature. This paper doesn’t hype AI. It defines the gap we still need to close. And that’s exactly why it’s important.

Number of new foreign students in US falls 17% over visa worries ft.com/content/7a4860… via @ft

Wharton tops FT ranking of business schools with impact ft.com/content/8d9c98… via @ft

Can free speech survive in America’s universities? ft.com/content/037ee4… via @ft

@NewsHourExtra @CFR_Education @FT @awakenlibrarian @vicpasquantonio ft.com/ft-schools

We're excited to participate in a @CFR_Education webinar w/ @FT's @AJack, @awakenlibrarian and our @vicpasquantonio tomorrow (Tues) at 7pm ET --see sign-up details below! We recently updated our tariff lesson w/ @FT's Tariff Tracker: pbs.org/newshour/class…

Curator’s Pick: the hidden meanings in Rashid Johnson’s half-ton Guggenheim mosaic on.ft.com/3KtFVls

“We still need to address the new permission structure that has been created for vitriolic rhetoric and violent reactions in response to political, social, and cultural disagreement”

US campuses seek a safe space for debate after Charlie Kirk’s murder. The assassination comes as universities are under pressure to expose students to a more diverse range of views ft.com/content/b1c5b3…

“We cannot kowtow to the mob”

.@ctzns_schlrs @CollegeDems @CRNC @CDI_America @JonHaidt @aacu

Decline in reading is inhibiting learning, academics warn ft.com/content/d98c46… via @ft

Chatbots in the classroom: how AI is reshaping higher education ft.com/content/adb559… via @ft

Chatbots in the classroom: how AI is reshaping higher education ft.com/content/adb559… via @ft

Tragic loss. It was a beautiful have of calm. A Hotel Made Famous by Graham Greene Is a Victim of Haiti’s Violence nytimes.com/2025/07/07/wor… via @NYTimes