@0xfakeSpike@AYi_AInotes@otterpal24 Thanks for the tips! I'm vibe coding this graph KB to help my claude code understand my research project and help me working https://t.co/jvqh913rhx
🚨 New WP alert‼️
1/6 Our new paper introduces a multi-country, multi-sector NK model with domestic & international input-output linkages. It extends standard open-economy models (e.g. Gali & Monacelli 2005) by incorporating production networks into foreign shock transmission.
The PhD is a resilience bootcamp under cover as an academic degree.
You enter thinking you'll master a field.
You leave knowing how to:
• Keep working despite chronic uncertainty
• Recover from devastating feedback
• Rebuild when your approach fails
• Defend your ideas under fire
These skills matter more than your thesis topic ever will.
"Free markets failed for 700 years. When poor farmers couldn't pay, a simple quota beat auctions. Sometimes the invisible hand needs handcuffs."
New paper by @javdito & @JosespinSanchez
https://t.co/n74XJcE5R9
#REStud#EconX#EconTwitter
💎 Emily Riehl, renowned professor of mathematics at Johns Hopkins University:
“This is what I think the future of mathematics could be.
We might have domain specific formal languages: for algebraic geometry, also for condensed mathematics, also for differential geometry, lots of different subfields.
And mathematicians will be able to quickly learn to write proofs in new formal systems because of the help of a computer proof assistant,
It will tell them when they're doing something correctly or something incorrectly.”
Full conversation with Math, Inc.’s @jessemhan and @jdlichtman soon.
@JEFworks The AI detection itself is quite messy.
Academic writing can be boring. Just run with some pre-2022 referee reports you will see a lot of false positive.
In the immediate horizon of 1–3 years the AI impact should be reshuffling; improving productivity by early adopters. Adoption would not yet be immediately systematic. Just look at the messy Information System we started adopting since 1990s. Are we there yet? AI will take longer
HUGE update to Claude Code today. You can now access Claude Code and your local files via the Claude Desktop app. No more terminal window!
Simply open the desktop app, select Code and press the install button. Thereafter, just select your folder and away you go.
🚨 FULL CONVERSATION
Fields medalist Terry Tao sits down with Math Inc's @jessemhan and @jdlichtman for a conversation on the future of mathematics.
"I got convinced that this was the future of mathematics [...]
It's a different style of writing proofs that actually is in some ways easier to read—harder to check by humans, but you see more clearly the inputs and outputs of a proof, which traditional writing often conceals [...]
I think the definition of a mathematician will broaden."
I turns out I need more assumptions than in the original paper to have a clean lean-4 proof; the tricky part is, is the conditional expection continuous?
https://t.co/IsTprQZyhf
I can neither confirm nor deny this may be the first Lean 4 proof of a theorem in a classic accounting disclosure paper (Dye, 1985).
https://t.co/AmJinqtdat
- Legal documents
- Literature review
- Presentations
- Front-end web UI design
- programming in Python, Stata, R, …
And now math proofs
What else can’t LLM do? 8.9 > 8.11? lol 😂
I’m amazed again today by what LLM can do: mathematical proofs.
Via Lean 4, a computational proof verification programming language. When the LLM writes a proof in Lean 4 and the proof is cleared by running the algorithm, it is then officially a correct proof.