a 1 pp shift in the composition of output would normally lead to a shift of ~ 1.3m jobs (US economy has 130m jobs at the time). the lower estimate reflects the standard view the traded goods sector is more productive than some service sectors, so less job intense
A few days ago, I argued that excessive debt wasn't driving yields higher (link). The repost is my argument for why yields are moving higher, and why they are no longer expensive. https://t.co/AcrblgHGGS 引用 @biancoresearch:For years, yields were below where the economy said they should be. That i
and kind of shocked that there isn't general recognition that the ten years after China entered the WTO were not in aggregate great years for the US economy (jobless recovery, housing bubble fueled by imbalances, global financial crisis, great recession) -- certainly they weren't
Actually I was most interested in the basic observation that a surge in imports had a differentiated regional impact -- which seems to be a very robust conclusion. I had already observed the "China" shock in my own data tracking so that wasn't news to me. 引用 @joefrancis505:My guess is that Dr Set
Recent conversations on here have reminded me of this excellent paper: https://t.co/EXOt8Z9fAB "part of the increase in credit from 1999 to 2007 in regions with exposure to trade is a consequence of higher credit demand associated with adverse labor market shocks"
Imports from China started to rise in 21/22 (notably of batteries) -- but on the export side, European auto exports looked resilient going into 2023 ... and then the bottom fell out in the Chinese market (UK's importance to Europe is also obvious in this chart) https://t.co/ao7PTcpXNX
Today, as @SecScottBessent visits Pennsylvania, the contrast is clear: @POTUS' America First agenda is delivering for the Keystone State. https://t.co/4guNB9LMLF
2/3 You buy a bond for its yield (blue). By 2020, they were the lowest in US history. This killed returns (orange) Since then, yields have risen (price losses). This was the unwinding of QE and zero rates. That is done. Now yields are back and diverging from returns. https://t.co/bx6K1nkPSg
1/3 Here's the chart back to 1793, courtesy of Ed McQuarrie at Santa Clara. The past 10 years have been the worst since 1803. Read that carefully. Bonds WERE the worst investment in American history. It says nothing about what they do next. https://t.co/9kif9Ryayo 引用 @dampedspring:This chart is
Apple and a Hacker's Future I was happy for years in Apple's walled garden; with AI, however, their protections feel like limitations. https://t.co/aoNmGjTjp0
People sharing this as bullish are not reading the following lines.. They're very much in my camp of the mid-teens being a reasonable number this year mid-teens to high-teens next year. Need to be very optimistic to be in that 20-30GW/yr camp. Some semis guys are in 30GW+/yr. BTM
The difference in what Anthropic and OpenAI as well as many others give you in value for a subscription is insane. We tested Meta, Minimax, Kimi, Grok, and Cursor subscriptions 引用 @SemiAnalysis_:It doesn't make sense to say a subscription plan is worth $ X in isolation. The way to think about subs
USAID engaged in election interference and regime change around the world, causing massive strife 引用 @MikeBenzCyber:Here’s a shocking statistic you may not know. USAID more than doubled its spending on Brazil as soon Bolsonaro won their 2018 election. This was not because Brazil suddenly needed twi
OAI and Ant are also at ~30-40% inference with the rest allocated for training It’s one of the most important assumptions in all of compute/tokenomics because it dictates how much compute is monetized and the monetization rate As these guys all scale from 1-2 gigs to 5 GW and 引用 @jukan05:Appare
I get the call out on aggressive valuations for the labs (which should be litigated in public and we’ll see how the IPOs do) but comparing multiples or against historical revenue without accounting for growth (amongst the fastest we’ve ever seen in capitalism) and the rapid 引用 @craigweiss:if meta w
Had the pleasure of meeting Michelle at an event in Toronto a few weeks ago—she’s fantastic, and I’d encourage folks to listen. Our conversation was scheduled before the latest controversy cycle, and I think a lot of people would be surprised to hear how Kpler analysts interpret 引用 @DropSiteNews:
Rational Dissent Episode 011. Three Risks That Matter More Than Terminator AI Available on YT, Apple, Spotify, Overcast, etc. Looking past the sensational headlines, we analyze the measurable risks truly driving markets—from Europe's winter energy vulnerabilities and cracks in https://t.co/Pizl2m
For those who think asset values can't be allowed to drop because the deficit needs cap gains or else it will blow up. If cap gains went to zero (which of course is nonsense ) what would happen to the deficit?
Helpful guide to hiring your first @Grok @Bot employee. It really is like hiring an amazing helper that learns your needs and gets smarter almost every day! 引用 @distortgeekin:Grok Bot could be the first thing you hire instead of prompt It can own a job, work inside your tools for hours and come
Power On: After years without a design chief overseeing both its hardware and software design teams, new Apple CEO John Ternus has found one: himself. https://t.co/Q1wCIzdXvO
Have to imagine the slate has been ready to go for a while now with this either or but feels like you have to be comfortable in the product pipeline and compute availability to even suggest it 引用 @thsottiaux:Over the next 28 days, each day we’ll either ship one thing that is a clear improvement and
People building in finance & AI… here’s a great product roadmap to aspire to get to 引用 @lefttailguy:I wonder what's next. I suspect one interesting endpoint is that the excel model becomes the quantitative surface of a much deeper research graph / self-constructing ontology. I could imagine somethi
Another great MacroTalk this week with @AahanPrometheus covering: - Signs of cracks in the commodity bull market. - How far the dissaving-driven expansion / earnings boom can really run. - And... the perfect pre-pod / meeting energy shot. https://t.co/fI9uhSh8E2
"i don't trust that [tanker/satellite imagery/flow] data, it's obviously manipulated" <shows multiple independent estimates all roughly indicating the same pace and trend> "see, that's the proof—collusion! you should instead trust my skeptical VIBES" https://t.co/TuUtftU9wL
for anyone following the oil market for more than the past few months, it’s *very* funny seeing people start to say that observed data (Kpler/Vortexa/satellite imagery) is manipulated and for proof we should look at the *implied* estimates from IEA/EIA/Chinese government data 😂 https://t.co/beRZCx7
Actual amount that SpaceX saved taxpayers is even higher now 引用 @TeslaLarry:The Washington Post famously claimed Elon Musk's companies received $38B from US governments. The truth? Elon Musk's company, SpaceX, SAVED the US Government (and taxpayers) an estimated $14B. I've covered that in detail in