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@technology
The timeline, not a fundamental category of mathematics, may be AI’s main remaining obstacle to high-quality mathematical research.
Noah SmithThe end of the age of heroes
@technology
A worthwhile life does not require unique indispensability. Family, friendship, hobbies, civic life, and politics can provide meaning.
Noah SmithThe end of the age of heroes
@technology
If AI makes mathematical discoveries, it threatens the meaning mathematicians attach to discovery, creation, mystery, and human achievement.
Noah SmithThe end of the age of heroes
@technology
AI’s mathematical power could open a golden age for science, freeing researchers from constructing difficult theories to gather and interpret data.
Noah SmithThe end of the age of heroes
@technology
Scientific acceleration estimates range from 1.5× to 100×, but removing mathematics as a bottleneck is the central breakthrough.
Noah SmithThe end of the age of heroes
@technology
Human achievement is usually collective, built by teams, organizations, institutions, and global networks despite individual credit.
Noah SmithThe end of the age of heroes
@technology
Large language models may face a general limit: they cannot yet make the discontinuous conceptual leap called “jumping.”
Noah SmithThe end of the age of heroes
@technology
Daniel Litt conceded he was wrong about AI producing high-quality frontier mathematics and expects it soon.
Noah SmithThe end of the age of heroes
@technology
For now, humans are AI’s edge compute, exploring reality, discovering facts, and feeding lived perspectives back into the system.
Noah SmithThe end of the age of heroes
@technology
AI may produce many correct mathematical results, while humans remain limited by understanding them and choosing worthwhile questions.
Noah SmithThe end of the age of heroes
@technology
AI can eventually remove the single human brain’s bottleneck on understanding, intuiting, and communicating complex ideas.
Noah SmithThe end of the age of heroes
@technology
Humans were always distributed “edge compute,” learning shared knowledge, adding local experience, and returning novelty to the collective.
Noah SmithThe end of the age of heroes
@technology
AI is not merely replacing workers. It is becoming a world-mind integrating human and machine findings into a model of reality.
Noah SmithThe end of the age of heroes
@technology
AI barely changes total employment. It is reallocating leverage across jobs and companies, with gains distributed unevenly.
Alex LiebermanAI Isn't Killing Jobs. It's Sorting Them.
@technology
AI is mostly reshuffling jobs, not creating or destroying them. That equilibrium is temporary.
Alex LiebermanAI Isn't Killing Jobs. It's Sorting Them.
@technology
More than half of AI-related roles sit outside core tech, with manufacturing at 21%, alongside finance, education, and healthcare.
Alex LiebermanAI Isn't Killing Jobs. It's Sorting Them.
@technology
The top 1% of companies spend $7,449 per employee per month on AI. Median companies spend $11.38.
Alex LiebermanAI Isn't Killing Jobs. It's Sorting Them.
@technology
Only 25% of respondents rated their manager highly effective, while 36% rated their manager ineffective.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
No technology role has net-positive recommendation sentiment. Even founders, the happiest group, would not recommend their role.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
AI-energized employees are not becoming generalists. They are going deep on specific tasks and jobs to be done.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
Teams went from a few pull requests daily to roughly 30, plus more prototypes, PRDs, campaigns, agents, and ads.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
Some AI design problems are tractable. Producing genuinely novel, excellent creative experiences is substantially harder.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
Smaller companies and entrepreneurship offer work environments worth considering when the usual path no longer fits.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
12% are resentful: AI adoption pressures them, leaves them checked out, and still does not prevent job losses.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
The worst-rated managers cluster in design, research, data, and analytics.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
Choose a few problems where AI helps, then go deep. Trying to make AI do everything is a trap.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
Technology is moving in positive directions, even when the findings along the way are difficult.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
The tech industry is in the second inning of a massive shift, and nobody knows the outcome.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
AI-era work is a paradox: unprecedented creative power arrives alongside burnout, fading optimism, and fear of job loss.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
Using AI is not cheating. Learn to leverage it as a capability, especially while the technology keeps improving.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
People drive technological innovation, so attention belongs on the humans building and experiencing the change.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
This survey measures how technology workers feel about their jobs, not whether technology roles are objectively disappearing.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
Forty-one percent are energized by AI, treating it as an expansive playground for building and experimentation.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
AI turns faster work into higher expectations, making every productivity gain the new baseline instead of creating breathing room.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
You can enjoy your current role and still discourage others from entering it, exposing a bleak forecast beneath present satisfaction.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
For technology workers, doing more for the same pay is a bigger fear than losing their jobs to AI.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
Thirty-five percent are conflicted, building more joyfully than ever while fearing their work threatens their careers.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
AI creates “smiling exhaustion”: people feel energized shipping more while relentless speed leaves no off switch.
Lenny's PodcastWhy the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal
@technology
Pursuing the future can start with gathering people who cannot stop asking difficult questions and giving them room to develop.
Oana OlteanuAgainst Usefulness
@technology
Autonomous agents now dominate computing’s learning landscape, drawing the field’s most-read and most-searched material.
Oana OlteanuAgainst Usefulness
@technology
Early funders of paradigm work buy a position in a future markets cannot yet price.
Oana OlteanuAgainst Usefulness
@technology
CDG stayed deliberately obscure, protecting deep work from the attention and pressure that visibility brings.
Oana OlteanuAgainst Usefulness
@technology
At CDG, uninterrupted silence became a form of trust, protecting researchers’ long-term thinking from routine interruption.
Oana OlteanuAgainst Usefulness
@technology
Ceiling cameras and projectors map physical objects and surfaces into Folk Computer’s shared computational environment.
Oana OlteanuAgainst Usefulness
@technology
Independent thinkers pursue unfashionable questions for years, challenge obvious approaches, build openly, reject hype, and measure progress in decades.
Oana OlteanuAgainst Usefulness
@technology
Foundational work often starts before a company exists. Support it with a check, grant, contract, room, or useful introduction.
Oana OlteanuAgainst Usefulness
@technology
Open-sourcing paradigm research turns a visitor demonstration into a system people worldwide can reproduce, modify, and extend.
Oana OlteanuAgainst Usefulness
@technology
Paradigm work has always needed patrons. Markets cannot price research that begins intentionally useless.
Oana OlteanuAgainst Usefulness
@technology
Every useful company stands on rails that were once somebody’s stubbornly useless research.
Oana OlteanuAgainst Usefulness
@technology
Folk Computer makes paper programs executable: edit one with a keyboard, then remove the keyboard and it keeps running.
Oana OlteanuAgainst Usefulness
@technology
Technology needs a design renaissance that optimizes for time well spent and user empowerment, not screen time.
TEDHow a handful of tech companies control billions of minds every day | Tristan Harris
@technology
A platform could move a controversial online exchange toward an in-person dinner, preserving discussion in a more constructive setting.
TEDHow a handful of tech companies control billions of minds every day | Tristan Harris
@technology
Platforms become better at keeping people hooked when recommendations optimize only for the most interesting next item.
TEDHow a handful of tech companies control billions of minds every day | Tristan Harris
@technology
Snapstreaks turn consecutive days of communication into something users feel they cannot afford to lose.
TEDHow a handful of tech companies control billions of minds every day | Tristan Harris
@technology
Modern platforms let psychologically informed engineers deliberately orchestrate user behavior at enormous scale.
TEDHow a handful of tech companies control billions of minds every day | Tristan Harris
@technology
Attention competition creates a race to the bottom. Platforms provoke outrage and deeper neurological reactions to win more attention.
TEDHow a handful of tech companies control billions of minds every day | Tristan Harris
@technology
Algorithms often optimize for instinctive clicks instead of preferences people endorse after reflecting on what they truly care about.
TEDHow a handful of tech companies control billions of minds every day | Tristan Harris
@technology
Technology is not neutral: competition for attention pushes products toward primitive, powerful psychological triggers.
TEDHow a handful of tech companies control billions of minds every day | Tristan Harris
@technology
Persuasive-technology training teaches covert techniques for capturing attention and orchestrating behavior, while most people do not know those techniques exist.
TEDHow a handful of tech companies control billions of minds every day | Tristan Harris
@technology
An engagement-optimized newsfeed favors outrage over calm content without anyone making a conscious editorial decision.
TEDHow a handful of tech companies control billions of minds every day | Tristan Harris
@technology
Advertising-funded platforms let paying actors target lies at the groups most susceptible to them.
TEDHow a handful of tech companies control billions of minds every day | Tristan Harris
@technology
Some teenagers send photos of walls or ceilings simply to preserve Snapchat streaks.
TEDHow a handful of tech companies control billions of minds every day | Tristan Harris
@technology
Teenagers have given Snapchat passwords to as many as five friends so streaks survive their vacations.
TEDHow a handful of tech companies control billions of minds every day | Tristan Harris
@technology
AI companies support oversight and checkpoints, but not government control over model development.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
Self-driving regulation shows how state sovereignty can make states, rather than Washington, decisive in setting AI rules.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
GPUs will chase energy. Compute capacity is moving toward wherever sufficient power can be secured.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
Aging stiffens the extracellular matrix when sugars and fats bind proteins, making tissue stickier, harder to repair, and inflammatory.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
An AI SRO could bring in independent experts to test cyber, biological, weapons, and social-manipulation risks as needed.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
Employees should bring only personal knowledge and memory to a new job, never files, devices, documents, or company information.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
Self-regulatory organizations let industries write and enforce specialized rules under government oversight, adapting faster than traditional regulators.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
China reportedly paused self-driving car permits after successful deployment produced job losses and civil unrest.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
Engineers reach for the newest AI model. CFOs pay for every token and often want the cheaper model that works.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
Behind-the-meter power lets data centers avoid competing with households and turns AI companies partly into power companies.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
The UAE can import the best leading-edge chips again, reviving its appeal as a data-center destination.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
AlphaFold was used to discover and evolve a therapeutic, then drive its development in biotechnology.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
Glycation is not visceral fat. It is sugar and fat binding to proteins outside your cells.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
If the United States imposes FAA-style AI approval, China could ignore the rules and win the AI race.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
Frontier oversight should target only models that advance the state of the art, not less capable models.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
OpenAI published “PRC linked influence operations are targeting AI debates in the US,” prompting coverage and a planned congressional investigation.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
Demis Hassabis proposed a US-led international AI standards body modeled on FINRA, federally overseen, industry-funded, and run by independent technical experts.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
Stripe, Advent, and Block reportedly offered to acquire PayPal, with Block contributing $17 billion in equity.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
Stripe’s merchants and PayPal’s consumers could create enough scale to run transactions end to end on proprietary rails, bypassing card networks.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
A 3 to 5 percent merchant discount could make switching payment rails economically obvious, even if consumers never choose the combined product.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
Combining Stripe, Block, and PayPal could create a global Visa and Mastercard competitor with hundreds of millions of accounts.
All-In PodcastCan the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
@technology
Mental hygiene means recognizing your brain’s weak spots before emotionally triggering thoughts take hold.
CGP GreyThis Video Will Make You Angry
@technology
The Internet turns ideas into evolutionary experiments: copying changes them, and improvements in appeal earn more sharing.
CGP GreyThis Video Will Make You Angry
@technology
A joke is a thought germ living in your brain, then reproducing when you share it.
CGP GreyThis Video Will Make You Angry
@technology
The “with us or against us” frame erases neutrality, intensifies division, and strengthens both opposing camps.
CGP GreyThis Video Will Make You Angry
@technology
Every social media post is a mental sneeze seeking enough attention to make you pass it on.
CGP GreyThis Video Will Make You Angry
@technology
Opposing ideas can feed each other: each side supplies opponents, attention, and fresh material for the other side’s spread.
CGP GreyThis Video Will Make You Angry
@technology
The Internet can make jokes better while making angry ideas more aggravating and more competitive with accurate, boring alternatives.
CGP GreyThis Video Will Make You Angry
@technology
Each side builds an exaggerated version of the other, and the most enraging version spreads fastest.
CGP GreyThis Video Will Make You Angry
@technology
Agreement can kill an idea’s momentum. Opposition keeps attention alive, and visible conflict attracts bystanders into the loop.
CGP GreyThis Video Will Make You Angry

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