Insights

The fresh start effect: why birthdays, September and round-number ages spark change

Wharton's Katy Milkman explains the fresh start effect, Mel Robbins uses temporal landmarks such as a birthday to break from self-judgment and argues that fall's back-to-school effect makes September a better starting line than January, and Adam Alter points to the 'nine-ending ages' when people take stock. Timing a change to a landmark that already feels like a new chapter makes starting easier than waiting for motivation.

Biology as blueprint: what animals and cells teach robot designers

Russ Tedrake studies a dead fish that swims and bodies that adapt, Marc Raibert chases natural movement in legged machines, and Neil Gershenfeld takes the ribosome as his model for robots that build robots. Each borrows a different lesson from living things, which shows how much of robotics is reverse-engineering nature.

Build first, theorize later: the maker culture behind great robots

Marc Raibert hires makers, Neil Gershenfeld describes discovery as ready, fire, aim, Simone Giertz starts projects that should have been too hard, and Robert Playter turned lab lessons into company values. Their shared habit of building early and learning from the result is a usable model for anyone doing hard technical work.

Teaching machines what we actually want is a two-way job

Anca Dragan calls reward engineering a collaboration, Michael Littman recalls the role of the human expert in early reinforcement learning, and Neuralink's Matthew MacDougall describes brain and decoder learning together. Across very different systems, the machine and the person each have to adapt to the other for the goal to come through.

14 min read

Edge cases and black swans: how robot builders hunt rare failures

Russ Tedrake uses simulation to find black swans, Andrej Karpathy describes Tesla's data engine, and Lex Fridman explains why edge cases dominate autonomous driving. The shared lesson is that reliability in the physical world comes from systematically finding the rare situations, not from average performance.

From one prototype to thousands: the hard jump to manufacturing

Robert Playter recounts turning Boston Dynamics from a research lab into a manufacturer, Simone Giertz describes going from a single build to mass-produced products, and Marc Raibert and Russ Tedrake discuss cost and the business of robotics. Their accounts show that making a robot work once and making it a product are different skills.

How the people who build robots answer the fear of robots

Russ Tedrake and Robert Playter both take on public fear of their machines, Michael Littman explains his doubts about AI as an existential threat, and Kate Darling offers the animal analogy as a calmer way to think. Hearing the builders' reasoning gives readers a grounded counterweight to science-fiction worries.

The half-automated car: why sharing control with a machine is risky

Anca Dragan describes a trap in semi-autonomous driving, Rana el Kaliouby builds driver monitoring to watch the human, and Lex Fridman draws on Tesla Autopilot to discuss humans working alongside automation. Together they show that the handoff between person and machine is its own design problem, separate from making the car drive well.

11 min read

Welcome it or tune it out? How public figures handle criticism

Charles Koch says he welcomes challenge and criticism, director Peter Berg answers Reddit critics with the man in the arena, Michael Beckwith talks about handling critics while keeping an open heart, Emmanuel Acho describes regulating his emotions under public criticism, and Seth Godin treats criticism as part of putting creative work into the world. Set side by side, they show the choice between learning from critics and protecting yourself from them, which anyone who works in public has to make.

Winners do quit: when walking away is the right move

Mel Robbins takes 'winners always quit' from Olympians, Seth Godin treats quitting as an honest decision, and Georges St-Pierre, Magnus Carlsen and Matthew McConaughey each explain why they walked away at the top, from the UFC, the World Championship and a 14.5 million dollar film offer. Their accounts turn quitting from a failure of nerve into a choice about what you want next, which is useful to anyone staying in something only because they are good at it.

Mindset and Performance

22 min read

Emotional machines and trust: the privacy and manipulation problem

Kate Darling warns about robots as marketers, Rana el Kaliouby addresses bias and trust in emotion AI, and Lex Fridman lays out his hopes for companion AI. Anyone weighing a social robot or companion app can see here both the promise and the specific ways the emotional bond could be exploited.

20 min read

The extra gear: why hard childhoods so often drive high achievers

Walter Isaacson finds that Musk, Jobs and other subjects of his biographies harnessed the demons of childhood, John McPhee and Joe Rogan talk about the 'extra gear' hard childhoods give fighters and soldiers, Ginni Rometty traces her leadership to early adversity, and coach Peter Crone describes what drives and haunts high achievers. The pattern explains a common source of ambition and also its cost, which matters to anyone whose drive comes from proving something.

25 min read

Specialized robots are winning first, from warehouses to brain surgery

Robert Playter describes the hard-nosed decision behind the warehouse robot Stretch, Matthew MacDougall explains why a robot performs Neuralink's surgery, and Kate Darling questions the push toward general humanoids. The pattern is that robots succeed where one narrow task is done better than a person can do it.

20 min read

Let the physics do the work: the idea behind graceful legged robots

Russ Tedrake, Robert Playter and Marc Raibert all trace agile robots back to the same principle from the MIT Leg Lab era, which is to work with a body's natural dynamics instead of fighting them. It matters because it explains why balance and movement, not raw computing power, were the first breakthroughs in legged machines.

12 min read

The humanoid question: is a human-shaped robot the right bet?

Kate Darling asks why robots should be humanoid at all, Robert Playter describes the curse of general purpose, and Andrej Karpathy and Marc Raibert weigh Tesla's Optimus as a hedge and a competitor. Laying the positions side by side shows what each camp thinks a human form buys and what it costs.

12 min read

Reading and writing borrow the brain's speech and movement circuits

Eddie Chang on reading and dyslexia, Erich Jarvis on reading, writing and inner speech, and Jared Diamond on how writing was invented all treat literacy as a recent skill built on older machinery. It helps explain why reading must be taught explicitly and why some children struggle with it.

Software 2.0: when learned models replace hand-written rules

Andrej Karpathy describes Software 2.0 and Tesla's data engine, George Hotz explains comma's learned driving policy, and the DeepSeek analysts describe reinforcement learning's aha moment. Each shows systems improving when engineers stop writing rules and let data and training do the work.

Software Engineering

14 min read

Who pays for the commons? Open source maintainers, burnout and money

VLC's Jean-Baptiste Kempf turned down millions, FFmpeg's maintainers describe burnout under Big Tech demands, Jimmy Wales refused advertising for Wikipedia, Guido van Rossum stepped down as Python's leader and Vitalik Buterin proposes quadratic funding for public goods. Together they show how fragile the volunteer work under the internet is and what might sustain it.

Software Engineering

Will answer engines replace search? Four builders on the web's future

Marc Andreessen asks whether AI will replace search, Aravind Srinivas explains why Perplexity builds an answer engine and avoids Google's game, Sam Altman weighs search and ads, and Jimmy Wales considers what language models mean for Wikipedia. Their views show how the way people find information online may change and who stands to lose.

Software Engineering

Reward, error and self-play: what machine learning shows about human learning

Michael Littman's history of reinforcement learning, Terry Sejnowski's account of the brain's reward and value signals and Fei-Fei Li on how AI learns and where minds differ describe learning in machines and people in overlapping terms. The comparison clarifies which lessons from AI transfer to human learners and which do not.

Schools and Ai Tutoring

Talent is everywhere: presuming competence and finding hidden ability

Gershenfeld finds hidden genius in fab labs, Rometty hires for curiosity over credentials, Ky Dickens argues for presuming competence in non-speaking students and Liemandt wants universal learning, not just access. They share a view that schools and employers miss ability because of how they screen for it.

Teaching students to argue the other side: critical thinking in practice

Warren Smith's classroom method, Greg Lukianoff's case for curiosity toward extreme views and Immordino-Yang's work on checking assumptions and civic discourse all treat engaging an opposing view as a skill that must be taught. It gives teachers a concrete goal beyond avoiding controversy.

The textbook picture of language is being rewritten

Eddie Chang says the classic brain map of language is partly wrong, Erich Jarvis says speech and language are not separate modules, Ted Gibson argues language is not thought and Daniel Everett challenges Chomsky from the Amazon. Anyone who learned the standard account in school should know which parts researchers now dispute.

Affirmative action and merit: Randall Kennedy's defense against its critics

Randall Kennedy weighs affirmative action's costs against its value, while Harvey Silverglate, Bill Ackman and the Shapiro and Destiny debate attack or defend DEI and merit from other angles. Putting them side by side shows what each side counts as fairness in admissions and hiring.