When are tech folk going to get that people like wasting time, it's life. They don't optimize for efficiency, they try to get by, they watch dumb stuff, they enjoy shopping. Inefficiency is another work for living and life.
Your m mean and median job isn't a software engineer in Menlo Park, it's Ashley in accounts in a not for profit in Columbus, it's Jesse , the office manager for a tool rental business in Tallahassee, they are more likely to use a Fax machine than Slack.
They quite like meetings because they like chatting, they'll use AI to make a better invite to their baby shower, not agentify their job.
These people, nor their bosses boss, aren't in a rush to build software as a side hustle, they are keen to use AI to check if their vet is overcharging them. They'd like AI to check spelling on the email to the school governor.
They don't want agentic commerce, they want AI to be in the background and make living a little less stressful
I give it about 3-6 months before any kind of skills.md file is also pointless.
The same thing happened to vector databases and langchain and every other 'product' built in the narrowing gap of model competencies.
Somewhere out there is a guy who uses Notion, Superhuman, OpenClaw on a Mac Mini, Raycast, a mechanical keyboard ($400), Wispr Flow, and gets nothing done every day
The year is 2034. All of America’s greatest entrepreneurs and athletes have died of aggressive peptide-induced cancer. We could’ve never seen this coming — the mouse data looked incredible.
@karpathy Kicking off an overnight run on MacOS! Shared you discussion post with my agent and we agreed to share MacOS findings back as we uncover them!
Super fun!
Dario Amodei:
- no one is ready
- exponents kick in
- even faster than you think
„Exponentials catch people off guard — there’s the old parable of the second half of the chessboard, where you have one grain of rice in the first square, two on the second, four on the fourth. By the time you get to the 64th square, you have billions or trillions of grains of rice.
We’re standing on square 40 out of 64, and from square 40 to square 64, it’s going to go faster than you think — even having seen how fast it’s gone so far. I don’t think people are ready for it. I think we are on the precipice of something incredible.”
After what I’ve seen recently, I am now updating my prediction for the arrival of Artificial Superintelligence (ASI) to sometime in 2028 from 2030.
ASI as defined by Nick Bostrom: intellect that is much smarter than the best human brains in practically every field.
After watching several friends adopt it and encourage me to post, I finally took the time to write nearly 3,000 words on the agentic coding workflow I've spent months developing. I hope it helps you learn something new!
https://t.co/Vn8wzicC3Q
banger from citadel today - yes to all of this and most all: “rising productivity lowers costs and expands the consumption frontier”
aka - all the doomsday scenarios underestimate our infinity capacity for wanting more shit, and then other people producing it..
This is not the happy demo path, Apple or Google would never make this one of their launch videos... it's not what you will hear about in a TED talk, but it's real
AI: Doesn't get tired, doesn't ghost
A lot to think about in this one
Taalas has a hardcoded LLM for inference, 100% on chip delivering peaks of up to 17,000 tokens per second.
Replies are so fast you miss them if you blink.
Demo out now: https://t.co/MFfw4IolJ1
Prediction: In less than 90 days, all channels that we thought were safe from spam & automation will be so flooded that they will no longer be usable in any functional sense: iMessage, phone calls, Gmail.
And we will have no way to stop it.