Who I rate

Aaron Levie

CEO of Box, and the best I've seen at navigating the practical realities of AI in the enterprise - matching what the technology can actually do to what a business needs. Anything he posts is worth reading.

Andrej Karpathy

Tesla to OpenAI to Anthropic, and he just talks a lot of sense - always clear. His overnight auto-research loop was one of the first times someone was simply on the money. Not always groundbreaking, but reliably worth your time.

Start with: Software 2.0 ↗

Benedict Evans

Always a little ahead of where everyone else is thinking. His line that the good AI companies do not exist yet is probably right, and he reads how the big platform shifts actually play out. Just very insightful.

Start with: AI is still at its 1997 moment ↗

Ethan Mollick

My one go-to if you only follow a single person. A Wharton professor who really gets that this is a new, weird technology we are not used to - and that the mistake is treating it as ordinary automation software.

Start with: Detecting the secret cyborgs ↗

Simon Willison

Where I go for the practical craft of building with AI. He builds in public at a pace nobody matches and writes it all down.

Start with: LLMs in 2024 ↗

Dario Amodei

The most thoughtful of the lab leaders. I like Demis Hassabis too, but Dario seems decent and genuinely cares where this all goes - building Anthropic as the antidote to the other model companies feels honourable. His essay Machines of Loving Grace is a rare serious take on what happens to us if we no longer need to work.

Garry Tan

YC's president, and maybe a touch too AI-pilled - deal with frontier startups all day and it is easy to forget there is a world outside Silicon Valley. Still, he talks a lot of sense.

Diana Hu

Her tokenmaxxing idea stuck with me - spend on tokens before you spend on headcount. A genuinely useful reframe, and she puts it in plain terms.

Pete Koomen

His horseless-carriages essay reframed how I think about AI product design. Talks a lot of sense.

Start with: Horseless carriages ↗

Boris Cherny

The lad who built Claude Code - what a legend. To have the foresight to make something the whole world suddenly needs is just wild, and you can feel the product-market fit.

Tom Blomfield

Monzo's co-founder, now at Anthropic and part of the UK's compute push. I like a founder who still wants to do the work, and I am very aligned with his vision of the future. Talks a lot of sense.

Cody Schneider

Sails a bit close to the wind on the sales side, but he is a real tinkerer and experimenter, and some of his growth-marketing tactics are genuinely interesting.

Dwarkesh Patel

The best signal-to-noise interviewer in the space - long-form conversations with the people actually building this. If you follow one podcast, this is it.

Start with: The Dwarkesh Podcast ↗

swyx

Runs Latent Space and coined 'AI Engineer' - one of the fastest ways to keep a finger on what practitioners are actually shipping.

Start with: Latent Space ↗

Steve Yegge

The most useful frame I have read on AI literacy - three cohorts defined by daily token spend, and five hours of training reliably moves a team up a cohort. Practical, not hype.

Start with: The flat curve society ↗

Daniel Miessler

Security researcher who built Kai, a modular personal AI - and the best I have read on high-entropy content: the idea that the only writing worth making now is the dense, surprising kind an AI could not have predicted.

Greg Isenberg

Practical on AI, startups and building online - strong on vertical AI agents as cash-flowing businesses and founder-agent fit as the new founder-market fit.

Jack Dorsey

Running Block as a live experiment in replacing the org chart with an AI intelligence layer - the most ambitious internal AI bet I have read.

Start with: From hierarchy to intelligence ↗

Vas Vasuman

The barbell - every AI rollout splits into a power-user core and a silent majority. The real reason adoption metrics lie, and it matched what I saw inside a PE firm this summer.

Start with: Enterprise AI adoption is a myth ↗

Pedro Franceschi

AI-first is not bolting agents onto old processes, it is refounding the company. His 'the CEO must be Chief AI Officer' is the clearest version of that.

Lenny Rachitsky

The best on how products and careers actually get built - and behind the one paid AI course I would point a non-technical builder to.

Thariq Shihipar

Anthropic engineer on Claude Code. The way he plans and runs build loops with agents - write the plan, let it run for hours, verify each step - is the backbone of how I work now.

Start with: How I plan, build and run loops with Claude Code ↗

Bill Gates

Fifty years watching where computing goes next. His essays on AI agents as the next computing platform are a builder's long view, not a pundit's - worth your time.

Arnaud Doko

Applied AI at Anthropic. His 'How we Claude Code' talk is the three-phase build loop this whole site runs on - ask, plan in HTML, build, and a verify step that checks the work before it counts as done.

Start with: How we Claude Code (Code with Claude London) ↗