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Prime Minister of the United Kingdom since July 2026 and leader of the Labour Party. MP for Makerfield since a by-election in June 2026; Mayor of Greater Manchester from 2017 before that.

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  Pharmacy First

  Their words

  That's why we're expanding Pharmacy First. The idea is simple: Qualified pharmacists can assess patients, dispense medicines and prescribe treatment for a range of common conditions, helping people get care quickly and close to home.

  x.com

Sequoia Professor of Computer Science at Stanford, co-director of the Stanford Institute for Human-Centered AI, and co-founder and CEO of World Labs.

From one piece Why Fei-Fei Li Is Betting on Spatial Intelligence 2 beliefs, in the piece's order there

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  Generating pixels was the easy step; generating pixels that are spatially contextualised and grounded is the hard one.

  Their words

  So in the on the path to spatial intelligence, generating pixels is definitely a a early step, which we have seen with what you call it gazillions of models. But generating pixels that are truly spatially contextualized and grounded is absolutely another major step. And that is the very hard step that Atlas has taken.

  youtube.com

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  Nature gave eyes to animals and not to trees because eyes are only worth having if you move, and moving is what produces a new viewpoint.

  Their words

  So okay, so to take a evolutionary view, right? That new viewpoint prediction is exactly evolution had to solve by making animals move. You you nature give animals eyes. But nature didn't give trees eye. Eyes. Why? Because when you move, you see a new viewpoint.

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Writer and climate campaigner; wrote The End of Nature in 1989, founded 350.org and Third Act, and writes The Crucial Years.

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  Expanding North Sea oil drilling would not reduce UK energy prices, because oil prices are set on a global market.

  energy

  Their words

  This would accomplish nothing to reduce energy prices, since oil prices are set on a global market and there's not enough crude left off UK shores to influence that number.

  The growing rumblebillmckibben.substack.com

Senior economist at the Foundation for American Innovation; writes Second Best, and was the Niskanen Center's director of social policy before that.

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  AI agents will soon reach superhuman, AlphaZero-like performance across a wide range of domains.

  Their words

  we should therefore expect AI agents to achieve AlphaZero-like, superhuman performance in a wide and expanding variety of domains.

  The Sorcerer’s Apprenticesecondbest.ca

Sequoia Professor of Computer Science at Stanford, co-director of the Stanford Institute for Human-Centered AI, and co-founder and CEO of World Labs.

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  Sensing the world is what set evolution racing: the first photoreceptive cells created the force that drove animal life to diversify.

  Their words

  But the first photoreceptive cells created a evolutionary force that propelled animals to evolve because sensing the external world changes your self-perception changes the way your relationship with the external world.

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Co-founder and CEO of Stripe and co-founder of the Arc Institute. Keeps a personal site of reading lists, open questions and notes on scientific progress and how research is funded.

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  An idea can be obviously good and obviously ridiculous at the same time; being grounded in a real user problem is what carries it through.

  Their words

  So, anyway, I'd say it like it both seemed like an obviously good idea in that people really wanted this, but also a bad idea in that nobody took it seriously. Um but I I think that I think the fact that it was ultimately the fact that it was grounded in such a concrete actual real user problem saved us.

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Founder of HumanLayer; wrote 12-Factor Agents, on how to build AI agents that hold up in production.

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  Context engineering has stayed relevant for a year because it is grounded in how transformer attention works, and it will matter to anyone building on AI until post-transformer models arrive.

  Their words

  I think context engineering has been so long lived because it's it's grounded in the fundamentals of how transformer attention works and until we have post transformer models or linear attention or whatever it is which who knows when that's going to happen context engineering will be interesting and important to anyone building on AI

  Context engineering with Dex Horthyyoutube.com

Mathematician at UCLA, working mainly in harmonic analysis and partial differential equations. Writes What's new, a long-running blog on their research, open problems and expository notes.

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  Current AI4Math systems largely operate as solvers of isolated, well-defined proofs rather than as researchers that expand mathematical knowledge.

  Their words

  Despite these strides, we argue that current AI4Math systems still largely operate as solvers, excelling at isolated, well-defined proof generation rather than as researchers capable of expanding the boundaries of mathematical knowledge.

  arxiv.org

Programmer; wrote Extreme Programming Explained and Test-Driven Development, signed the Agile Manifesto, and writes Tidy First?.

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  Exploring, expanding and extracting are three distinct phases, and how you write code, who you hire and how you organise should be completely different in each.

  Their words

  So how you write code, how you manage projects, who you hire, how many people, what the org structure is is completely different in the three phases.

  youtube.com

Clinical psychologist, EMDR consultant and yoga teacher in Boulder, Colorado. Author of The Complex PTSD Workbook and EMDR Therapy and Somatic Psychology; writes on trauma, attachment and the nervous system.

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  Polyvagal theory survives the 2026 "untenable" critique: what the critics contested was mechanism and evolutionary framing, not the clinical proposition.

  Polyvagal theory

  Their words

  The central clinical proposition of polyvagal theory-that autonomic state functions as an organizing platform shaping perception, emotion, and relational behavior-was not empirically disproven in the critique.

  drarielleschwartz.com

Geneticist and writer on human population genetics, deep history and evolution; author of the Unsupervised Learning newsletter.

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  The Secret of Our Success: How Culture Is Driving Human Evolution, Domesticating Our Species, and Making Us Smarter

  Their words

  A decade on, it already feels possible that in the future, commentators will argue that this specific fruitful synthesis lit the fuse on evolutionary cultural anthropology’s explosion (with due apologies to earlier books from L. L. Cavalli-Sforza, E. O. Wilson, Peter Richerson and Robert Boyd).

  razibkhan.com

Psychologist and writer. Author of the memoir Troubled: A Memoir of Foster Care, Family, and Social Class, and of a newsletter on human nature, psychology, social class and what he calls luxury beliefs.

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  Bringing Up Baby: An Evolutionary View of Pediatrics

  Their words

  Best books I read in 2025: Just a note that these books weren’t all necessarily published this year (though some were). A Story is a Deal: How to use the science of story to motivate and persuade by Will Storr Bringing Up Baby: An Evolutionary View of Pediatrics by Paul Turke

  robkhenderson.com

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  Bad Therapy: Why the Kids Aren’t Growing Up

  Their words

  Best books I read in 2025: Just a note that these books weren’t all necessarily published this year (though some were). A Story is a Deal: How to use the science of story to motivate and persuade by Will Storr Bringing Up Baby: An Evolutionary View of Pediatrics by Paul Turke Bad Therapy: Why the Kids Aren’t Growing Up by Abigail Shrier

  robkhenderson.com

Vice chairman of Ogilvy & Mather Group, the advertising agency; author of Alchemy (2019) and the Wiki Man columnist at The Spectator.

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  People judge an organisation by the humans they deal with, because judging other people is the task evolution equipped them for.

  Their words

  We don't really have much evolved experience in evaluating postal efficiency, do we? Okay, we have quart of a million half a million years of evolved experience in deciding who to like and trust because for most of our evolutionary, you know, existence, that was one of the most fi five most important questions to get right.

  youtube.com

Co-founder and chief scientist of Safe Superintelligence Inc., and previously co-founder and chief scientist of OpenAI.

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  That people are good at maths and coding, which evolution never selected for, shows human learning is not a complicated evolutionary prior but something more fundamental.

  Their words

  What I meant to say is that language math and coding and especially math and coding suggests that whatever it is that makes people good at learning is probably not so much a complicated prior but something more some fundamental thing.

  youtube.com

Co-founder and CEO of Google DeepMind, and a 2024 Nobel laureate in Chemistry for the protein-structure work behind AlphaFold.

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  Anything nature shaped can be learned efficiently by a classical neural network, because evolutionary processes leave structure behind.

  Their words

  And I think the reason that's possible is that in nature, natural systems have structure because they were subject to evolutionary processes that shape them. And if that's true, then you can maybe learn what that structure is.

  youtube.com

Machine-learning researcher on open language models; writes the Interconnects newsletter and the RLHF Book, after leading post-training at Ai2.

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  The faster AI progresses, the better NVIDIA does, so a shock like DeepSeek should expand its market rather than shrink it.

  Their words

  The more progress that AI makes or the higher the derivative of AI progress is, especially because NVIDIA's in the best place, the higher the derivative is, the sooner the market's going to be bigger and expanding and NVIDIA's the only one that does everything reliably right now.

  youtube.com

Theoretical physicist and philosopher, Homewood Professor of Natural Philosophy at Johns Hopkins and fractal faculty at the Santa Fe Institute. Writes the Preposterous Universe blog and hosts the Mindscape podcast.

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  A language model's apparent mind is mostly our own bias: it predicts text, and leverages our evolved habit of attributing intentionality to anything that acts human.

  LLMs

  Their words

  What a large language model is trying to do is to predict text. That’s what it does. And it is leveraging the fact that we human beings for very good evolutionary biology reasons, attribute intentionality and intelligence and agency to things that act like human beings.

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Data scientist at Our World in Data and author of Not the End of the World. Writes By the Numbers, working through energy and climate questions with the numbers in front of them, and revising in public when they say something unexpected.

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  Growing food to put in cars is a mistake at a moment when the world should be farming less land, not more.

  Their words

  The world’s croplands are still expanding. At a time when we should be using less land for farming, allocating high-quality farmland to grow food that we then put into cars is a mistake.

  hannahritchie.substack.com

Writer and researcher on China, technology and industry; author of Breakneck, research fellow at Stanford, known for a widely read annual letter.

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  China's technological competitiveness is grounded in manufacturing capability rather than in scientific research.

  China

  Their words

  Whereas the US has a track record of doing great science, China’s technology competitiveness is grounded in manufacturing capabilities.

  2022 letterdanwang.co

Design engineer and illustrator; makes visual essays on programming, anthropology and what language models do to the way people write.

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  Writing that is specific, local and grounded in a real life is the cheapest available proof that a person wrote it, because models default to generics.

  Their words

  Referencing obscure concepts, friends who are real but not famous, niche interests, and recent events all make you plausibly more human.

  The Dark Forest and Generative AImaggieappleton.com

Economist; Professor of the Practice of Economic Policy at Harvard, nonresident senior fellow at the Peterson Institute, and Chairman of the US Council of Economic Advisers from 2013 to 2017.

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  The Journey of Humanity: The Origins of Wealth and Inequality

  Their words

  I particularly appreciated The Journey of Humanity because it is an ambitious and deep story about the past tens of thousands of years of economic development that is also well grounded in a growing economics literature into the deep origins of growth

  fivebooks.com

Computer science professor at Georgetown University and author of Deep Work, Digital Minimalism and Slow Productivity; writes about focus, technology and work at calnewport.com and hosts the Deep Questions podcast.

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  The World-Ending Fire

  Their words

  After years of people recommending him to me, I finally took the plunge into the literary world of Wendell Berry. Now I can't help but wonder what took me so long. This 2018 collection of Berry's best essays is a fantastic introduction into his genre-defining polemic style, which mixes razor-sharp commentary with a poetry grounded in lived experience, to argue on behalf of land, the environment, and a slower, richer approach to life.

  calnewport.com

Psychotherapist who trained with Jeffrey Young from 1989 and founded The Cognitive Therapy Center of New Jersey and the Schema Therapy Institutes of NJ-NYC-DC. Wrote Disarming the Narcissist.

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  Schema Therapy Training Institute video series

  Their words

  This video series is grounded in an understanding, both conceptually and practically, of the essential value of the therapy relationship in schema therapy

  disarmingthenarcissist.com

Co-founder and CEO of Google DeepMind, and a 2024 Nobel laureate in Chemistry for the protein-structure work behind AlphaFold.

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  Contemporary physical and evolutionary structure-prediction approaches fall far short of experimental accuracy without a close experimental homologue, limiting biological utility.

  Their words

  Despite these advances, contemporary physical and evolutionary-history-based approaches produce predictions that are far short of experimental accuracy in the majority of cases in which a close homologue has not been solved experimentally and this has limited their utility for many biological applications.

  doi.org

Mathematician and maker of the 3Blue1Brown YouTube channel, which explains mathematics through animation. Creator of the open-source Manim animation library and founder of the Summer of Math Exposition.

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  The Art Of Probability

  Their words

  Hamming was a practitioner, spending much of his career in Bell Labs, so unlike many books on probability, this stays grounded in the kind of intuitions that come up a lot in solving practical problems. It has countless helpful puzzles and problem-solving tricks which are organized in such a way as to give a sense of the deeper theory underlying probability and statistics.

  3blue1brown.com

Programmer; builds Mac and iOS apps, wrote WatermelonDB, and writes about tools, focus and software craft.

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  Sapiens

  Their words

  The history of humankind from 2 million years back all the way until today. Fascinating read. I liked that it wasn’t just a list of events, but an overarching “theory of history”. Also enjoyed that this one topic was presented through many lenses: history, evolutionary biology, archeology, economics, even philosophy and theology.

  radex.io