Arvind Narayanan on Twitter / X

I had the honor of giving a keynote at the International Conference on Machine Learning in Seoul last week titled “What will be left for us to work on?” I addressed the widespread anxiety about how we should adapt as AI capabilities increase. I was thrilled by the talk’s… pic.twitter.com/GEq0q6hEM0— Arvind Narayanan (@random_walker) July 13, 2026

Presentations — Benedict Evans

Every year, I produce a big presentation exploring macro and strategic trends in the tech industry. New in May 2025, ‘AI eats the world’.

Dell's CES 2026 chat was the most pleasingly un-AI briefing I've had in maybe 5 years

"A bit of a shift from a year ago where we were all about the AI PC."

Reflections on the Cooperative AI Conference | Platform Cooperativism Consortium

I am just returning from our conference on Cooperative AI in Istanbul. Part of what I love about conferences—what keeps me doing this, convening these global PCC events —is meeting people who are both…

Becoming unLLMable

slides + transcript of my presentation at the Sana AI Summit in Stockholm

More Than a Tool

What We Learned from a Year of Conversations About AI

233. "The Illusion of Thinking" — Thoughts on This Important Paper

This is a fantastic paper. I just love it. tl;dr AI is not human. Anthropomorphization has been bad for AI, LLMs, and Chat. Clippy walked so today's AI could run.

How AI Saved My Company From a 2-Year Litigation Nightmare

After 2+ years and a tremendous waste of energy and money, my firm Calm Company Fund resolved a lawsuit against us on very favorable terms. What started as one of the most challenging periods of my life became an unexpected masterclass in using AI to level the playing field against well-funded opponents. If you’re an... Continue reading →

The Room Where AI Happens

A weekend at the Curve conference—an AI insider gathering in Berkeley revealed how people think about AGI timelines, China, creativity, and writing

This morning, I had the distinct honour of giving the opening keynote at #RSECon26: "Where does the rigour go? Research software and the future of trustworthy science" The core argument: AI is… | Arfon Smith

This morning, I had the distinct honour of giving the opening keynote at #RSECon26: "Where does the rigour go? Research software and the future of trustworthy science" The core argument: AI is making it dramatically cheaper to produce plausible scientific outputs, without necessarily making them cheaper to check. The scarce resources are shifting towards attention, judgment, and verification.  This is no doubt a disruptive time for research software engineers and research more generally. For Research Software Engineers specifically I think that creates some important new opportunities around: encoding domain judgment, building verification infrastructure, connecting agents to reality, and helping ensure that the emerging verification layer for science remains open. Thanks to everyone at RSECon26 for the thoughtful discussion, and especially to the many people whose work and ideas I that heavily influenced this talk. Link to slides in first comment