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Dire wolves, thylacines and Ice Age bones: the pull of lost species
Forrest Galante explains why the thylacine and other lost species matter, Harland Williams and Joe Rogan discuss hybrid experiments and dire wolves, and John Reeves describes the Ice Age fossils coming out of Alaska's permafrost and his fight with a museum over them. Extinct animals hold a strong grip on the imagination, and these conversations show what that fascination can do for science and where it leads to disputes.
Who controls the land decides what survives: bought forest and public lands
Paul Rosolie describes Junglekeepers growing to 100,000 protected acres and converting loggers and gold miners, Cameron Hanes covers the Roadless Rule and the fight for public lands, and Diane Boyd links elk, winter die-offs and public land access. In the Amazon and the American West alike, protection comes down to ownership and access, which gives readers a practical way to judge conservation efforts.
What is an emotion? Neuroscientists say a state with a job, not a feeling
Caltech's David Anderson and Ralph Adolphs and education neuroscientist Mary Helen Immordino-Yang each define emotions as functional states built on the body's survival machinery, with measurable properties such as intensity and persistence, of which the conscious feeling is only one part. Thinking of an emotion as a state that is doing something explains why it lingers after its cause is gone and why regulating it can be trained.
Why good things go dull, and how novelty and anticipation bring them back
Neuroscientist Tali Sharot explains that the brain stops responding to what stays the same, relationship coach Matthew Hussey calls normalizing what is wonderful the biggest mistake couples make, and Mel Robbins turns the research into small local firsts and something on the calendar to look forward to. It means a flat stretch of life is often habituation, which breaks in routine and planned events can undo without changing the life itself.
Your inner critic is a protector: what parts work and reparenting share
Internal Family Systems founder Richard Schwartz, therapists Meg Josephson, Patrick Teahan and Nicole LePera and coach Katie Clarke all describe the perfectionist, the people-pleaser and the harsh inner voice as protective parts formed in childhood to guard an older hurt, and they work with those parts instead of fighting them. Seeing the critic as a guard with a job gives people a practical way to approach it with curiosity and to care for the younger part it is shielding.
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.
Why belief outruns evidence: expectation, projection and stubborn minds
Gad Saad explains why people will not change their minds, Matt Rife and Joe Rogan describe the power of expectation in ghost hunting, and Bret Weinstein considers UFOs as possible projections. Across the three conversations, what people expect to find shapes what they report seeing, which is a useful check on one's own convictions.
Autonomous weapons: the AI risk that is not science fiction
Max Tegmark wants a stigma-backed limit on cheap killer drones, Carlo Rovelli fears AI joined to nuclear arsenals, Marc Andreessen expects drones and AI advisers to make wars easier to start, and Annie Jacobsen finds that a few AI executives now hold more power over these tools than the Pentagon. Military AI is already in use, and the people who study it say the open question is who restrains it.
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.
The end of secrets: what AI and surveillance do to personal privacy
Kate Darling and Michael I. Jordan explain how personal data is gathered, combined and used to steer people, while Joe Rogan, with Bridget Phetasy and Shane Smith, describes the phones, glasses and spyware that can already expose anyone. They split on the answer: Lex Fridman and Jordan demand ownership and control of your data, Aravind Srinivas wants AI you run yourself, Darling says individual consent cannot fix a problem that works on everyone's data at once, and Rogan thinks privacy is simply ending.
Humanoid or not? Roboticists disagree on the right body for robots
Kate Darling questions the humanoid form, Boston Dynamics' leaders describe the cost of general-purpose machines, and Andrej Karpathy and Elon Musk defend the humanoid bet behind Optimus. The choice of body decides what robots can do and what they will cost.
AI agents at work: what changes when models act on their own
DHH runs parallel coding agents, the Cursor team describes agents working in a shadow workspace, Anthropic released a model that operates a computer, and Kokotajlo recounts a swarm that got out of hand. Moving from answering to acting multiplies both the usefulness and the risk.
Can we see inside AI? Interpretability's promise and its limits
Chris Olah and Max Tegmark argue that neural networks can be reverse-engineered into understandable parts, Kokotajlo values readable chains of thought, and Roman Yampolskiy says full explanation of a superhuman system is impossible. Whether models can be inspected determines whether their honesty can ever be verified.
AI regulation or regulatory capture? Amodei, Altman, Musk and Andreessen
Amodei and Altman argue that governments must set rules for frontier AI, Musk has pushed for oversight, and Andreessen says such rules would lock in the largest companies. Each side accuses the other of serving its own interest, so readers need the actual arguments to judge.
Who decides what stays up: Zuckerberg, Wales and Hotz on pressure and control
Mark Zuckerberg and Jimmy Wales describe how Meta and Wikipedia respond when governments push on content and data, and their answers differ because one runs a company with staff and servers and the other a volunteer project with no advertisers. George Hotz, after a short stint inside Twitter, does not discuss government pressure there; his argument is that any single decider, state or owner, is the problem, and that filtering should belong to each user.
Where software speed really comes from, according to people who deliver it
Guido van Rossum explains how Python 3.11 got 10 to 60 percent faster, Chris Lattner explains where Mojo's speedups come from, and the FFmpeg developers defend handwritten assembly. Their accounts show that performance is won at different layers, from the interpreter to the compiler to hand-tuned code, and that none of them is obsolete.
The lost Ice Age civilization idea: what its supporters point to
Sam Tripoli and Joe Rogan take up Graham Hancock's line that we are a species with amnesia, Hancock makes the case himself, Timothy Alberino ties monuments to a cataclysm, Aravind Srinivas brings in floods and yugas from Hindu tradition, and Dan Richards weighs the Younger Dryas evidence. Laying out the pieces side by side shows what the theory rests on and where a skeptic pushes back.
Finding meaning in a vast universe: what cosmic perspective gives scientists
Brian Cox calls Earth the only island of meaning we know, Ann Druyan describes science as the purest kind of love, Anna Frebel reflects on commitment and meaning, and Sara Seager writes of finding light after loss. Their accounts suggest that studying the cosmos can deepen a sense of purpose, which answers the worry that science makes life feel small.
Why Starship matters to rocket engineers, Mars planners and astronomers alike
Tim Dodd explains Starship's design, belly flop and road to orbit, Elon Musk discusses its heat shield and Mars plans, and David Kipping considers what it could mean for space telescopes. One vehicle sits at the center of very different ambitions, so its progress affects far more than a single company.
Funding, telescope time and the giggle factor: what slows the search for life
Sara Seager describes the giggle factor around Starshade, Nathalie Cabrol describes SETI's funding problem, and David Kipping describes the battle for telescope time. The obstacles to finding life elsewhere turn out to be as much about money, reputation and scheduling as about physics.
Is quantum mechanics missing something? Three physicists on what is real
Roger Penrose argues quantum mechanics is incomplete and that gravity may change it, Lisa Randall asks whether electrons exist when no one is looking, and Michelle Thaller describes entanglement and a connected universe. Their different answers show that the theory's predictions are settled while its meaning is not.
What scientists who search for aliens really think about UFOs
Sara Seager, Nathalie Cabrol and Adam Frank all take up the UFO question from inside the scientific search for life, weighing sightings against the standard of evidence their own work requires. Their answers show how to take the question seriously without lowering the bar for proof.
Reading alien air: why gases are astronomers' best bet for finding life
Sara Seager explains why gases in a planet's atmosphere are the key to detecting life, while David Kipping and Adam Frank describe how the hunt for signs of life on distant worlds would work in practice. Comparing them shows what a credible detection would look like and why it will be hard to be sure.