Adding deliberate friction back into development
Maybe scientific progress isn’t slowing, after all
A new paper takes aim at the claim that science has become less disruptive
FRICTIONAL AI WORKSHOP
Topics of the Workshop In its third edition, this workshop builds on and expands its exploration of friction-in-design in AI systems, hosting a full-day event that challenges the pursuit of seamless, rapid interactions. In contrast to the conventional narrative that human over-reliance on AI stems
Tech companies are cutting jobs and betting on AI. The payoff is far from guaranteed
AI experts say we’re living in an experiment that may fundamentally change the model of work
AI fatigue is real and nobody talks about it | Siddhant Khare
You're using AI to be more productive. So why are you more exhausted than ever? The paradox every engineer needs to confront.
‘AI fatigue’ is settling in as companies’ proofs of concept increasingly fail. Here’s how to prevent it | Fortune
Along with the excitement about the possibilities of generative AI is a great deal of pressure for leaders and employees participating in projects.
‘I hate what AI is doing to the minds and happiness of the young’: Katherine Rundell on the view from the classroom
Education is at a crossroads, argues the author and academic. Should we embrace new technology in the name of efficiency, or is it time to fight back?
What happens when AI replaces the parts of work people love?
We’re using AI to move faster. I’m not yet convinced we’re using it to work better.
What Humanity Needs To Flourish In The Next Decade
We are headed toward a world of productivity without prosperity, execution without verification and capacity without constraint. But this outcome is not inevitable.
What Humanity Needs To Flourish In The Next Decade
We are headed toward a world of productivity without prosperity, execution without verification and capacity without constraint. But this outcome is not inevitable.
Open models are decelerationist - Erlend’s notes
people and planet need open models to win
The Friction I Don't Want to Lose
I love learning. And while the friction of solving new problems is increasingly traded for speed, the experience gained by overcoming that friction is as important as ever.
Models do not improve linearly (any more). New models improve more than expected on hard tasks. Now let's think about it a bit more. It means progress is directed towards the hard tasks. It also means the easier tasks improve less than expected. Which alphaxiv.org/abs/2608.00355
friction is good
how friction and struggle help grow, learn, create, develop.
The case against efficiency: friction in social media
Writing by Hand is Good for your Brain - Here's how to do it
AI Coding will Prevent Expertise | Lars Faye
Cognitive Surrender
AI Dry July: Aborted
Japanese web design: weird, but it works. Here's why
