Alex Copestake

I'm glad to see my work with @alexlcopestake and @DavideFurceri being featured in @TheEconomist ! Check it out! ⬇️⬇️⬇️

+++ Please join us to the launch event and the release of the new issue (I am the Guest Editor ;)) - with welcoming remarks from #AntonioSpilimbergo, and contributions from @MishraPrac, @tavares_mm, #AlexCopestake, @gmcugat, and @HuangYueling +++

Join us on May 6, at 10:00 AM ET, for the launch of the new issue of IMF Research Perspectives, delving into the transformative effects of new technologies, digitalization, and AI on productivity, labor markets, and more. Register here: cvent.me/KD0Vkr

🤷🤷‍♀️New data: SHRUG 2 is out!! @devdatalab has been working on this for two years, a HUGE update to India’s coolest data platform: 1. Maps of *every* 2011 town and village, with ids 2. All data at every geography (villages, districts, ACs, etc)... devdatalab.org/shrug 🧵1/N

AI and services-led growth: Evidence from Indian job adverts - Alexander Copestake (@IMFNews), Ashley Pople, Katherine Stapleton @KathAStapleton (@WorldBank), Max Marczinek (@UniOOxford) ideasforindia.in/topics/product…

India: Establishments with high demand for AI skills show negative effects on postings and wages for: -High skill, professional occupations -Non routine work -Analytical/communication tasks. By @alexlcopestake, Marczinek, @ashley_pople, @KathAStapleton steg.cepr.org/publications/a…

@alexlcopestake Max Marczinek @ashley_pople @KathAStapleton evaluate the impact of the demand for AI-skills on job postings and wage offers. @UniofOxford @wb_research @IMFNews ow.ly/9mFn50NvYNQ #STEGWorkingPapers #EconTwitter

@alexlcopestake Max Marczinek @ashley_pople @KathAStapleton evaluate the impact of the demand for AI-skills on job postings and wage offers. @UniofOxford @wb_research @IMFNews ow.ly/9mFn50NvYNQ #STEGWorkingPapers #EconTwitter

All the best examples of GPT-4, from OpenAI:

FYI chart: shocking share shift

In this Generative AI wave, there's a lot of speculation about which tasks AI will be good for. I think there's one pattern that distinguishes tasks that are "practically useful" for AI to complete from ones that are not. I call it "hard to explain, easy to verify". 1/n

1/Large language models like Galactica and ChatGPT can spout nonsense in a confident, authoritative tone. This overconfidence - which reflects the data they’re trained on - makes them more likely to mislead.

This is a thread of my thoughts and feelings about the actions that led to FTX’s bankruptcy, and the enormous harm that was caused as a result, involving the likely loss of many thousands of innocent people’s savings.

As a result of corporate due diligence, as well as the latest news reports regarding mishandled customer funds and alleged US agency investigations, we have decided that we will not pursue the potential acquisition of FTX.com.

1/ First off, I have a lot of sympathy for everyone involved in the current situation with FTX - it's stressful any time there is potential for customer loss.

1) Hey all: I have a few announcements to make. Things have come full circle, and FTX.com’s first, and last, investors are the same: we have come to an agreement on a strategic transaction with Binance for FTX.com (pending DD etc.).

Choose your fighter $AAPL $MSFT $GOOG $AMZN

Leland Miller shares his thoughts on the Chinese 20th party congress @ChinaBeigeBook Apple 🔊: apple.co/3DhBjbc Spotify 🔊: spoti.fi/3N9Ttjw

1) Whelp, that was an interesting few days. A retrospective.

1/6 The lag conundrum of monetary policy Monetary policy affects activity with a lag. This enormously complicates the task of policy makers, and the design of disinflationary policy.