Matthias Kasper

304 posts

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Matthias Kasper

Matthias Kasper

@mkasper_

Private account. Affiliated researcher @euckeninstitut, Formerly @univienna & @tulane

Bangkok 🇹🇭 Katılım Kasım 2022
753 Takip Edilen312 Takipçiler
Matthias Kasper retweetledi
Wojtek Kopczuk 🇵🇱🇺🇦 and 🇺🇲
I cannot stop being amazed that somehow, in 2026, he managed to have an article written about him in NYT that reads more like an advertisement despite the context and the "research" history
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Foreign Affairs
Foreign Affairs@ForeignAffairs·
“Germans know that a world in which only power counts is a dark place,” writes German Chancellor @_FriedrichMerz. “Our country went down this path in the twentieth century to a bitter and evil end. Today, we are taking a different path.” foreignaffairs.com/europe/how-ave…
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Alex Lieberman
Alex Lieberman@businessbarista·
I want to start a community dedicated to Claude Code. It’s become the gateway drug to coding and experiencing the power of AI for tons of people. This will be a space for people to share killer use cases, agentic workflows, proven prompts, and connect with other CC obsessives. Comment “Claude” if you want to join.
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Joachim Voth
Joachim Voth@joachim_voth·
"At least Hitler built the Autobahn..." Can successful infrastructure projects boost support for a dictatorship? Nico Voigtländer and I wrote a paper looking at the German experience: "Highway to Hitler". Here is a link to the ungated version: anderson.ucla.edu/faculty/nico.v…
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Alex Prompter
Alex Prompter@alex_prompter·
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.
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Steven Pinker
Steven Pinker@sapinker·
Bombshell: Oliver Sacks (a humane man & a fine essayist) made up many of the details in his famous case studies, deluding neuroscientists, psychologists, & general readers for decades. The man who mistook his wife for a hat? The autistic twins who generated multi-digit prime numbers? The institutionalized, paralyzed man who tapped out allusions to Rilke? Made up to embellish the stories. Probably also: the aphasic patients who detected lies better than neurologically intact people, including Ronald Reagan's insincerity. newyorker.com/magazine/2025/…
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Daniel Nientiedt
Daniel Nientiedt@dnientiedt·
Einladung zur Auftaktveranstaltung für unsere große Schriftenreihe "Vordenker der liberalen Moderne" – gefördert vom @bmftr_bund 🚀 . Bis Ende des Jahres 2029 werden im Rahmen der Reihe 26 Bände entstehen. Stay tuned! cc/@Lars_Feld
LibMod - Zentrum Liberale Moderne@LiberaleModerne

🚨 ++ Einladung zur Konferenz „Rethinking Liberalism“ in Berlin ++ Was hat uns der Liberalismus heute zu sagen? 🗓️ 04. November 2025, 11:00–18:00 Uhr 📌 Reinhardtstraßenhöfe, Reinhardtstraße 14, 10117 Berlin Populistische Bewegungen, autoritäre Regime und globale Krisen setzen die liberale Ordnung unter massiven Druck. Kriege, Migration, Klimawandel und digitale Transformation stellen die Handlungsfähigkeit demokratischer Gesellschaften auf die Probe. Mehr denn je stellt sich die Frage: Welche Antworten bietet der Liberalismus im 21. Jahrhundert? Darüber diskutieren wir beim Auftakt der neuen Schriftenreihe „Vordenker der Liberalen Moderne“ – mit renommierten Gästen aus Politik, Wissenschaft und Zivilgesellschaft. Was jetzt auf den Prüfstand gehört: ➡️ Wie balancieren wir Freiheit und Verantwortung neu? ➡️ Wie begegnen liberale Demokratien dem Populismus? ➡️ Wie bleibt die liberale Ordnung international handlungsfähig? ➡️ Wo liegen die blinden Flecken liberaler Theorie und Praxis? Mit dabei sind u.a. @Lars_Feld, @KarolinaWigura, @sabinedoering, @TBiebricher, @fbrantner, @johwinkel, @schnellenbachj – und viele mehr! 👉 Jetzt anmelden! forms.cloud.microsoft/Pages/Response… [gefördert durch @bmftr_bund]

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Nicholas Decker
Nicholas Decker@captgouda24·
I’ve started an ongoing project to collect all the datasets which economists can use, all in one place, organized by topic. Started with 50, further suggestions are extremely welcome. It will grow considerably.
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Florian Scheuer
Florian Scheuer@Florian_Scheuer·
I am delighted to share that Nobel laureates Esther Duflo and Abhijit Banerjee will join our Department of Economics @econ_uzh at the University of Zurich on July 1, 2026, as Lemann Foundation Professors of Economics. 🧵 1/7
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Alex Imas
Alex Imas@alexolegimas·
New paper with @brian_jabarian (who is on the market, hire him!) TL;DR: modern LLM-generated text detectors are *really* good and there is a principled way to use them in high-stakes settings. Thread below:
Brian Jabarian@brian_jabarian

AI-generated text is everywhere: hard for orgs to assess human performance. Can we detect it while min false accusations? Yes! With @alexolegimas we audit detectors, show incredible accuracy ~0 (!!) false pos & neg; and we offer a policy framework for evaluating trade-offs. 🧵

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🎸 Rock History 🎸
🎸 Rock History 🎸@historyrock_·
22-year-old David Bowie performs "Space Oddity" at the Ivor Novello Awards in London (1969)
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Philipp Weber
Philipp Weber@we_philipp·
*** NEW WORKING PAPER ALERT *** How can we transform qualitative information into quantitative variables – and what are the obstacles in doing so? My new working paper explores these questions and presents a new fiscal rule index for Swiss cantons. A THREAD 🧵
Eucken Institut@EuckenInstitut

The new discussion paper by @we_philipp aims at transforming qualitative information from written law in a quantitative index variable. The challenge consists in finding the balance between high information density and transparency, keeping subjective decisions to a minimum.[1/4]

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Veronika Grimm
Veronika Grimm@GrimmVeronika·
Für Steuersenkungen wird am Ende überhaupt kein Spielraum übrig bleiben. Ob die Unternehmensteuer-Senkungen am Ende überhaupt kommen, steht in den Sternen. Denn im Haushalt klaffen riesige Löcher, und niemand kommt auf die Idee, als Reaktion darauf Sparvorschläge einzubringen.
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Alex Imas
Alex Imas@alexolegimas·
I’ve been waiting for someone to write this paper, glad to see this all-star team pull it off. Looks like consulting does add direct value, contrary to what many academics (including myself) have thought. (My prior was consulting solved agency issues w/in firms).
Benjamin Schoefer@Schoefer_B

New paper: "What Does Consulting Do?" w/ Gert Bijnens, @simon_jaeger Consulting is a storied but opaque industry. Our VAT-based B2B data permit the 1st comprehensive study: Which firms buy consulting? What happens when they do? nber.org/papers/w34072 eml.berkeley.edu/~schoefer/scho…

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