this would be funny if we hadn’t spent years seeing what drones can do in ukraine. “highest security” and it made it to his cell window? we’re lucky this delivery was nuggets. what is Canada doing to stop the next one?

nursing home PE firms seeing a surge in corporate middle management job postings on linkedin

it’s bubbles all the way down

. @davidgraeber wrote an entire book called bullshit jobs. i’d bet 30% of jobs at firms like accenture qualify, and half the workday is spent on pointless activities. but sure, a $29/month claude limit is the real sign of AI doom.

fun fact: native americans never used wheels for transportation before europeans arrived, because they didn’t have animals like horses or oxen to pull carts

tiktok will call this the future then show up to a data center protest tomorrow pick a side

the russian bots clocked out and two people said hi without anyone posting a birth rate graph. nature is healing

two things changed since ukraine blew the yandex data centers 1) @elonmusk posted something with under 5k likes 2) i remembered jokes are allowed again

same state as @KimKardashian

hello @R1RCM

healthcare as well, just a few years behind. personal health agents talking to hospitals: 0% today. the agents are ready. the hospitals aren’t.

been watching them pivot and now build this. it maps your attack surface, tries the sketchy paths, and ships the fixes. go @antigenco 🔥

pre-AI, this is how it worked. a hospital documented whatever its coders had time for. big hospitals could afford documentation teams or outsourced overseas to get paid for the full picture. rural hospitals could not cope with it, and a lot of them have dropped inpatient care altogether or closed down. insurers, meanwhile, deny 10-15% of claims up front, knowing that <1% will ever be appealed and 50% of those will be overturned. so when the payers are shouting that AI is driving up costs, it's funny, because what they mean is the other side finally has the same tool. yes, premiums go up. but they went up 6% a year for the last 25 years, in case you've been under a rock. the question isn't whether premiums rise, it's what patients get for it. right now that looks like 100m people in medical debt, much of it for covered care nobody had time to appeal. prior auth by fax with weeks of delay, and clear evidence by physicians saying it has hurt their patients. now that we're here, where does this go: phase 1 (now to ~2030): providers close the documentation gap. every diagnosis that's actually in the chart gets coded. payers see a real bump and call it upcoding. that's not upcoding, that's what it should have been billed all along. phase 2 (~2030 to 2035): payers finally bridge their technical debt gap and start pointing newer AI tools at denials. providers point AI at appeals. rates get renegotiated. nobody makes more money except the AI companies, both sides just spend more fighting. phase 3 is where i think this could get interesting. once the fighting gets cheap, providers can afford to pursue claims they would previously have written off because nobody had time to fight them. a small hospital might finally have the capacity to appeal as consistently as a big one. that won't make both sides agree. they'll still fight over coverage, medical necessity and prices. but a lot of denials will get resolved automatically before anyone has to file an appeal. that's where i see a possible win for patients. fewer bills landing on them because a claim went unresolved. less time waiting for an approval. more of the hospital's money going toward delivering care instead of chasing payment.