Democrats claimed rural Ohio Republicans were too racist to back Vivek for governor.
But Ramaswamy won 82.5% of the primary vote and every county.
Their delusion will end up biting them. Ohioans care about issues over identity politics.
Here's my op-ed in today's Dispatch:
I’m a big fan of Quentin Tarantino.
Lately, I’ve had little time to read and watch movies as I focus on work and life.
Back when I had more time on my hands, I was into his book Cinema Speculation.
I’d read a chapter and then watch the corresponding film. Highly recommend.
He references hundreds of films in the book; it’s clear he’s a real student of his craft.
Here’s a list of every film referenced in the book.
How many have you seen?
letterboxd . com /samuryan/list/every-film-referenced-in-quentin-tarantinos-2
@jackunheard Worth watching whether it actually addresses the workforce piece or treats this as purely a safety and liability exercise. Those are two completely different bills with the same name.
@chriswithans The Marist number is the tell. Ohio statewide polling has a structural problem with Republican voters who are hard to reach and less likely to answer until they see who's actually on the ticket. You can't model that out. It shows up in the results.
@AndrewYang Taxing AI without specifying what you're actually taxing. Half baked. Are you taxing compute? Revenue from automation? The companies that build models? The companies that deploy them? Each answer produces a completely different policy with completely different winners and losers.
I’m a big fan of Quentin Tarantino.
Lately, I’ve had little time to read and watch movies as I focus on work and life.
Back when I had more time on my hands, I was into his book Cinema Speculation.
I’d read a chapter and then watch the corresponding film. Highly recommend.
He references hundreds of films in the book; it’s clear he’s a real student of his craft.
Here’s a list of every film referenced in the book.
How many have you seen?
letterboxd . com /samuryan/list/every-film-referenced-in-quentin-tarantinos-2
when something leaks this early in the process, it's usually because someone inside is trying to build external pressure to force a decision. wiles and bessent pushing publicly means they think the leverage play works. whether it does depends on who else has a stake in the outcome and how hard they push back.
@drydenwtbrown you don't have to predict the exact scale of AI displacement to think a policy response is worth preparing. the people arguing it's impossible are also funding it at $730B. those two positions are hard to hold at the same time.
someone who is 15 years into a career, has dependents, and can't go back to school full-time needs a pathway into something new in under a year. building that program requires a completely different design than most of the current policy toolkit. that's the specific gap john's thread points to, and few people have serious answers yet.
@OwenGregorian goldman sachs put out a labor market analysis in april. 16,000 AI-attributed payroll reductions per month. Newsome’s EO to study this for 180 days tells you everything about how fast institutions move relative to the market. It'll be too little too late.
Over 250,000 people have lost their jobs to AI.
We're tracking right now at https://t.co/lYNKAmUWPe
We’re tracking things like no. of companies, people per layoff event and locations hit hardest.
Can see every bubble on the map
Check it out here: https://t.co/lYNKAmUWPe
I find the prediction debates around AI job displacement less useful than the infrastructure question underneath them. You can have a thousand new job categories emerge and still have millions of people who lack the credentials to qualify for any of them.