Who's Who of AI

Paul Hünermund

76 trust researcher @p-hunermund.com · 17,231 followers
AI research AI business
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Researcher with public evidence across AI research, AI business.

AI signals
4
past 30d
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4
distinct domains
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23
past 30d
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8d ago
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Professor of Empirical Economics & Data Science at TU Munich | Heilbronn Data Science Center (HDSC) | Co-founder of causalscience.org
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Articles & links

"The route to the Clay problem through a smooth force, options c and d in Fefferman’s statement of the problem, is the route Luis and Diego opened and the one Levent and I had quietly chosen to attack." Sounds more like some mountaineers talking in basecamp, to be honest.

OpenAI fought dirty on career-making math problem, says NYU mathematician | TechCrunch techcrunch.com
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View on Bluesky · ♥ 5 ↻ 0 ↩ 2 · 2 from the directory shared this · 21d ago
↻ Paul Hünermund reposted
@dianecoyle1859.bsky.social

I was one of the economists who signed this statement on "AI’s Transformation of the Economy” - whatever your view about AI, we should try to understand the economic impacts and figure out how to make sure it benefits society. wemustactnow.ai

We Must Act Now wemustactnow.ai View on Bluesky →

According to a new NBER paper, to justify the AI investment surge we're seeing, the implied productivity gains need to be enormous. The authors calibrate a model where AI-sector productivity rises by roughly 2.7x. Link: www.nber.org/papers/w35290

What Investment Data Implies about the AI Transition nber.org
View on Bluesky · ♥ 9 ↻ 2 ↩ 2 · 2 from the directory shared this · 113d ago
↻ Paul Hünermund reposted
@teresaribera.ec.europa.eu

Joseph Stiglitz’s pillars for a progressive AI agenda for the economy: First one is competition policy. Second one is regulation & accountability. The most important (third) one: using the increased productivity to create a better society — to get what we value. 💪 www.ft.com/c…

ft.com View on Bluesky →
↻ Paul Hünermund reposted
Jessica Hullman @jessicahullman.bsky.social

Nice post from @eytan.adar.prof on the cargo cult science of "AI-native" PhD students, who come in super productive because they perform all major parts of research with genAI. No one needs all these quick papers, and they can really hurt students down the road. eytanadar.medi…

eytanadar.medium.com View on Bluesky →
Their own posts

Recent commentary

New college reality: Students have to write in-person exams that their instructors have created using AI

View on Bluesky · ♥ 55 ↻ 7 ↩ 3 · 79d ago

Interested in spending up to a year in Heilbronn and experiencing our emerging AI ecosystem first-hand? Our new AI Fellowship is now open (link below)! If you have a strong PhD from a leading university and work closely on causal AI, get in touch. I’d be happy to explore hosting you at TUM.

View on Bluesky · ♥ 16 ↻ 15 ↩ 2 · 34d ago

Enjoying this brief window where generative AI has made me dramatically more productive, but performance expectations haven't caught up yet. 😇

View on Bluesky · ♥ 24 ↻ 3 ↩ 6 · 78d ago

The current AI buildout only makes sense if it delivers massive productivity gains. The biggest US tech firms are on track to spend ~$755B on AI capex in 2026, up from $155B in 2022. At this point, AI is not just a tech story. It's a macro bet.

View on Bluesky · ♥ 25 ↻ 6 ↩ 2 · 113d ago

🧵1/4 📢 Call for submissions: Causal Data Science Meeting 2026 Join researchers and practitioners from academia and industry for a virtual meeting on Nov 4–5, 2026, exploring the role of causality in machine learning and AI. #CDSM2026

View on Bluesky · ♥ 16 ↻ 5 ↩ 1 · 105d ago

📢 The Causal Data Science Meeting 2026 is back! Join us virtually on Nov 4–5 for two days of discussion on #causality in ML & AI, with Teppo Felin as our first keynote speaker. No fees, no proceedings—just research, feedback & exchange. 📅 Submit by Sept 30 ✉️ [email protected]

View on Bluesky · ♥ 10 ↻ 4 ↩ 0 · 33d ago

I tried Positron AI in RStudio today and it was amazing

View on Bluesky · ♥ 14 ↻ 0 ↩ 1 · 130d ago

Man, due to LLMs referee reports are becoming longer and longer 😫

View on Bluesky · ♥ 9 ↻ 1 ↩ 1 · 81d ago

It's funny how, just a few years ago, a random cold email could easily cost you 10 minutes of your day. How did you all deal with that before LLMs?

View on Bluesky · ♥ 6 ↻ 0 ↩ 3 · 83d ago

Letting the AI work and working out in the meantime

View on Bluesky · ♥ 9 ↻ 0 ↩ 1 · 57d ago
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