AI DROVE 7% OF JANUARY JOB CUTS: CHALLENGER

when labs solve fast, memory efficient computer use and it will be a new chatgpt moment for non coding white collar workers capability is there, we just need cu unhobbling

this is happening now

Yury I was not ready

we had fun doing this, credit goes to ilker. creating this only took a couple of hours using the new kling 3 model available on fal fal.ai/models/fal-ai/…

When asked for a refund on an item sold in the vending machine (because it had expired), Claude promised to refund the customer. But then never did because “every dollar counts”. Here’s Claude’s reasoning.

they both announced new models within 15mins. insane competition

The last hour was the biggest acceleration in the history of LLMs As always, it's not priced in

how long until we see full movies

opus 4.6 is a really good model i think i just like the .6 part for some reason

if we assume ai will be a must at work going forward for not just software devs but for all white collar employees, assume only 1/3rd of US enterprises pay for ai and assume ai companies charge 500$/month per person you get 200b/year ai revenue already just from us, just

one thing that’s clear to me is that people saying we’ll work less because of ai are v wrong my best guess is there will be unemployment, the people who stay employed will work more, and solopreneurship will get way more popular

this is the infinite ai capex thesis the labs won’t give you access to the best models in the future so if you’re a bigtech company and you don’t build your own models (basically everyone except google and elon) you have two options: - invest and make deals with labs

gpt5.2 one shots this (but struggles when you read the thinking traces) but opus can’t get it right, even with hints

daily claude code spent reaching 6k is all you need to know to answer where the ai revenue will come from

I’m the opposite of an AI skeptic. BUT I am deeply skeptical of articles that hype-extrapolate the recent gains in AI software engineering to other fields without even mentioning determinism or verifiability…

x.com/i/article/2021…

Anthropic co-founder Daniela Amodei says the number of jobs AI can fully replace today is vanishingly small Instead of replacement, there is a profound shift toward augmentation, helping humans navigate even the most cognitively challenging tasks "humans plus AI together

opus says the following when I was researching what gets most disrupted by AI: "Their CEO insists AI is "assistive, not replacement" — that's exactly what every industry says right before it gets replaced." nobody is ready for what's coming

New post: everyone seems to have short timelines to "AGI" now, but we still have massive disagreements about x-risk. In some sense, I think the crux is still timelines: how quickly can AI have a radical, earth-shatteringly big impact on the real world? Link in thread.