What should we do about high skilled immigration and why? This is the topic of my huge new report with @LettieriDC and @cojobrien: Exceptional by Design. Quick thread on why I think you should read this report.
1832125154K
@ModeledBehavior
Chief economist at @InnovateEconomy. Host of the EconTwitter Water Cooler, live on twitter spaces and downloadable here: https://t.co/toyjfDruRu
Patricia Murphy @MurphyAJCGov. Brian Kemp is well known to have a copious reading habit. One day he read that Audi was looking to build a U.S. manufacturing plant and the wheels started turning. @FitzTrubey has the amazing ticktock on the many years and dozens, maybe hundreds, of people it took to bring Audi to Georgia.
Ethan Mollick @emollickGiven how out-of-nowhere it seems to many, it is astonishing that there was a small group of people who predicted with remarkable accuracy everything that is happening in AI today a decade ago (@kevinroose shows this in The AGI Chronicles). Many are now very rich and/or powerful
Marcin Piatkowski @mmpiatkowskiPoland 🇵🇱 and South Korea 🇰🇷: two global growth champions with two different growth models and social outcomes. Over three decades both grew fast (4.2% vs 3.7% a year per capita) and reached the same productivity (~$52/hour), but with very different R&D spending: 1.4% vs 5.1% of GDP. On social outcomes, Poland ranks #24 in world happiness vs Korea's #67, with half the suicide rate and a third of the old-age poverty (13% vs 40%) 👇 The shared challenge: among the lowest fertility rates in the world, 1.07 and 0.80. @Noahpinion @KoreaEconInst
Dan Roberts @danintheoryWe are announcing three new discoveries in mathematics, computer science, and physics about harmonic analysis, complexity theory, and quantum field theory.
Jon Evans @rezendiSome entertaining highlights from 20 months ago: - "Anthropic has projected (made up) that it will make at least $12 billion in revenue in 2027" - "This company is not worth $60 billion. Anthropic has raised $14.7 billion to create an also-ran Large Language Model company" - "Anthropic, much like OpenAI, has categorically failed to productize its Large Language Model" - "Its CEO is also a sleazy conman who, like Sam Altman, continually promises that his company's AI systems will become powerful and autonomous in a way that they have never shown any possibility of becoming." - "Any investor in Anthropic needs to seriously consider what it is they're investing in. Its products are both unpopular and commoditized, and it lost $5.6 billion last year! Stop dancing around this fact! Stop it!" - "there’s a lot of demand to put AI in stuff and some demand to buy stuff with AI on it by enterprises buying software, but little evidence to suggest significant user adoption or usage, I’d argue because Large Language Models do not lend themselves to features that provide meaningful business returns." - "When a company uses the term “agent,” they are intentionally trying to be deceitful, because the term “agent” means “autonomous AI that does stuff without you touching it.” The problem with this definition is that everybody has used it to refer to “a chatbot that can do some things while connected to a database,” which is otherwise known as a chatbot." - "It isn’t working. The users aren’t there. The revenue isn’t there. The best time to stop this was two years ago, and the next best time is as soon as humanly possible. I have said that generative AI is a group delusion in the past, and I repeat that claim today." - "we are approaching the limit of what the transformer-based architecture can do, if we haven’t already reached it. No amount of beating off about test-time compute and connecting Large Language Models to other Large Language Models is going to create a new use case for this technology" - "generative AI is OpenAI. The consumer adoption of this software has completely failed, and appears to be going nowhere fast. ChatGPT is sustained entirely on deranged, specious hype drummed up by a media industry" ... and my favorite ... - "I will keep writing this stuff until I’m proven wrong."
Eric Basmajian @EPBResearchAI productivity gains are showing up, but only in ~15% of jobs. The three heaviest AI adopters (information, professional services, finance) went from a 2.2% productivity trend to 5.0% since 2022. The rest of the economy: 0.9% to 1.4%.
BBC News (UK) @BBCNewsBefore you crank up the thermostat, try these tips to keep your house warmer for longer