Preparing for a future the experts can't agree on

Salim Ismail NEW 🎓 College — Because frontier AI models are now smart enough to bulk-solve narrow academic problems, anyone doing a master's or PhD on one narrow topic risks finishing a degree that AI has already made obsolete.

Dave Blundin NEW 🎓 College — A brilliant hire chose a Princeton PhD over joining Dave's fast-moving AI company; Dave says that by the time a multi-year PhD finishes, the person will be years behind the frontier and calls it the wrong move, even though family and academic pressure push kids toward it.

Peter Diamandis NEW 🎓 College — If you're a junior/senior applying to med school, law school, or a PhD program mostly out of momentum or to make family proud, treat your time as your most valuable asset: set aside real time now to imagine what else you'd do if you dropped out, because without that alternate plan you'll never be able to jump tracks later.

Peter Diamandis NEW 💼 Career — Real-world proof that degrees aren't required for top jobs: OpenAI's chief research officer has no PhD, a co-founder dropped out of MIT, and Elon Musk says he'll hire anyone without a college degree based purely on what they've built, so demonstrated work now matters more than credentials.

Dave Blundin NEW 💼 Career — You don't need to be a core AI researcher to build something valuable: if you have specific, real-world data around a topic and use it to train or fine-tune a model, there's a good chance it'll beat generic foundation-model performance in that niche, which is a realistic path to a million-dollar company for any smart entrepreneur.

Peter Diamandis NEW 💼 Career — Because a company's proprietary data can now be worth far more than the company itself, Peter suggests a new career niche for accountants: a specialized practice that goes into companies and appraises their proprietary data as a balance-sheet asset.

Dave Blundin NEW 💼 Career — The valuable job skill of the near future isn't using an AI co-pilot as an assistant, it's learning to direct thousands (soon hundreds of thousands) of AI agents at a well-defined goal; most people freeze up on this because humanity has never had unlimited genius-level labor to direct before.

Peter Diamandis NEW 💼 Career — As AI execution gets cheap and easy, the scarce, valuable skill shifts to defining the problem itself -- picking a sharp, well-specified target is harder (and more important) than actually solving it once AI is pointed at it.

Salim Ismail NEW 🛠️ Skills — Even as AI makes video production dramatically cheaper, the sheer creativity of storytelling, plot, and character choices is still the hardest thing to replicate -- so investing in real storytelling craft stays valuable even as production itself gets automated.

Salim Ismail NEW 🛠️ Skills — Pointing to how one person (3Blue1Brown's Grant Sanderson) already produces documentary-quality educational videos alone, Salim argues that as new AI tools cut video production costs 10-100x, making great educational content becomes a realistic skill/career for far more people, not just big studios.

Salim Ismail NEW 🧭 Mindset — Any advantage you build now (a skill, a product, a market position) has a shrinking shelf life, so the winning long-term strategy isn't finding one permanent edge -- it's building a personal habit of constantly reinventing what you do next.

Salim Ismail NEW 🧭 Mindset — Stop being shocked every time AI crosses a new capability threshold. Instead, make plans with built-in triggers ("when AI can do X, we will change Y"), deliberately shorten your own learning cycle, and prioritize staying adaptable and flexible above any single fixed skill, since the tools will keep arriving faster, cheaper, and smarter.

Peter Diamandis NEW 🧭 Mindset — The old advice to "think outside the box" is backwards -- real breakthroughs come from deliberately narrowing your constraints (the way US chip sanctions forced Chinese labs to engineer clever workarounds) and innovating hard inside that small box.

Peter Diamandis NEW 👨‍👩‍👧 Kids — If your child has a health problem, don't wait passively for someone else to solve it -- AI-driven drug discovery is moving so fast that solving even a rare or idiosyncratic condition is now realistic, so find other families with the same condition, pool resources, and directly fund research into it.

Peter Diamandis NEW 🧭 Mindset — Peter's advice for this moment: whatever you thought was a realistic ambition, aim much bigger, because AI now gives ordinary people superpowers. Don't cap your goals to what your parents, teachers, or peers modeled for you.

Peter Diamandis NEW 🛠️ Skills — If you're worried about your job or getting a job, the single highest priority right now is becoming AI-literate: actually using the tools daily, not avoiding them, because that's what keeps you employable as AI reshapes the economy.

Salim Ismail NEW 🧭 Mindset — Our brains are wired (via the amygdala) to treat anything new and not-understood as a threat. When you see AI solve a major problem, consciously choose to interpret it as abundance and opportunity instead of danger - that reframe is the real skill to practice.

Dave Blundin NEW 🧭 Mindset — History repeats: when the PC arrived, a chunk of every high school decided being 'too cool' for computers was an identity. The same counterculture is forming around AI now. Deliberately seek out people embracing it and ignore those refusing to, because the holdouts end up left behind.

Emad Mostaque NEW 🧭 Mindset — Emad's blunt framing for why adopting AI matters now: if you don't, the average person in a country that has embraced it (his example: China) will simply be more capable than you, with smarter AI tools and more capable robots at their disposal.

Salim Ismail NEW 🧭 Mindset — Don't fight the AI transition by trying to protect old tasks. Let AI absorb the repetitive 'white-collar drudgery' (copying numbers between reports, coordination busywork) and put your time into the judgment and experience that actually make a difference - the goal is maximizing your own agency, not resisting change.

Dave Blundin NEW 🛠️ Skills — Just using an AI copilot for a productivity boost isn't enough anymore - that bar is rising too fast to stay ahead there. The real advantage goes to people who learn to direct and manage tens, hundreds, or even a thousand AI agents at once, the way you'd manage a team of employees.

Dave Blundin NEW 💼 Career — Dave's concrete career-planning advice: get excellent at hands-on trades work like building data centers, cooling systems, and liquid cooling, then reinvest the money you earn into AI companies riding the boom. He argues this beats chasing a traditional white-collar degree (his example: accounting) in fields AI is about to automate.

Alex Wissner-Gross NEW 💼 Career — Warning against complacency in the trades: skilled trades like HVAC and electrical work are only a temporary safe harbor from automation. Within a few years, humanoid robots will make them just as automatable as white-collar spreadsheet work - so treat any current trade advantage as a sequencing opportunity, not a permanent safety net.

Dave Blundin NEW 💼 Career — Tactical advice for taking a well-paid but temporary opportunity (his example: a $600k/year electrician job building an AI data center that will itself get automated in a year or two): take the job and the money anyway, stay financially and mentally nimble, and be ready to jump to the next opportunity rather than freezing because it won't last forever.

Alex Wissner-Gross NEW 🧭 Mindset — Alex's framework for planning a career through fast change: stop looking for one permanent, stable job. Instead think in a sequence of temporary 'modes' - each role (like a trades job) should build capital or skill that you deliberately convert into the next opportunity, and the one after that.

Emad Mostaque NEW 👨‍👩‍👧 Kids — As AI and robots take on more elder care, Emad argues society should invest just as much in fully integrated, technology-supported child care that lowers the cost and burden of raising kids - because increasing the number of children in the world, done well, is one of the most valuable things humanity can do.

Salim Ismail NEW 👨‍👩‍👧 Kids — Reiterates his standing bet that his son Milan will never need a driver's license or go to university, and says he needs cheap robotaxis (down to 20 cents a mile) to actually arrive within the next two years so he can win that bet with his son.

Peter Diamandis NEW 🧭 Mindset — Tells listeners to drop self-limits inherited from parents, friends, or where they grew up, because AI has removed most of the old constraints — so figure out your biggest dream, then aim ten times bigger than that.

Salim Ismail NEW 💼 Career — Says most company leaders are only 'dabbling' with AI — if you removed AI from their workflows today, nothing would actually change — and that the real career and business advantage goes to whoever restructures how work actually gets done, not just bolts a chatbot on top.

Dave Blundin NEW 🛠️ Skills — Says the skill entrepreneurs, builders, and executives need for the AI era is synthesis: when a swarm of AI agents produces way more output than any person can read, the valuable move is to wrangle that chaos down into one concrete, buildable answer instead of getting overwhelmed by it.

Emad Mostaque NEW 💼 Career — Warns that once AI is cheap enough, an average person's ideas and labor stop adding economic value and can even subtract from it (like a human driver mixed into self-driving traffic) — so the financial safety net going forward is owning equity in the robots and AI systems doing the work, not depending on a paycheck for thinking.

Alex Wissner-Gross NEW 🧭 Mindset — Reassures that even though AI now outperforms most people's thinking, human ideas won't stop mattering — just like chess didn't end when computers started beating every human, people kept playing and kept valuing each other's ideas.

Salim Ismail NEW 👨‍👩‍👧 Kids — Points out that good parents already teach kids to judge whether a risk is a 'responsible' one instead of just saying no to everything scary — and argues that same judgment (weigh the risk, weigh the reversibility, then act) is the parenting-style maturity AI itself still needs to learn.

Salim Ismail NEW 🧭 Mindset — Argues that since no individual can slow down the pace of AI change, the healthier mindset is to accept the disruption and 'enjoy the ride' rather than fight it — though Peter Diamandis pushes back on air that this is a low-agency way to think about it.

Peter Diamandis NEW 🎓 College — A new U.S. Space Academy was chartered (modeled on West Point) to train future spacecraft crews -- a brand-new non-traditional pathway for kids aiming at space careers.

Dave Blundin NEW 🧭 Mindset — The real singularity isn't when machines become infinitely capable — it's when institutions can no longer adapt at all to the rate of AI capability growth, and that breaking point has already arrived.

Emad Mostaque — Skip university, PhDs, and MBAs — spend that time and money quickly upskilling directly on frontier AI tools to get ahead of everyone else.

Peter Diamandis — No educational institution, including MIT, is preparing students for the pace of AI-driven change, and alternative credentials like the Thiel Fellowship and YC are starting to rival traditional degrees.

Dave Blundin — Deep, narrow graduate specialization is now a liability — the entrepreneurs winning today dropped out of college because they recognized the urgency of the moment over pursuing a PhD.

Alex Wissner-Gross — If recursive self-improvement lets AI substitute for AI-engineering labor, today's rush into AI college majors could reverse, sending students back toward the humanities.

Salim Ismail — Parents should not send kids to college — top-down 4-year credentialing will be replaced by apprenticeship/live-work-play models before today's teenagers reach college age, since current schooling trains for jobs that won't exist.

Salim Ismail — College could be the absolute wrong move unless a student is using it to start a company or find purpose, given how fast the employment landscape is changing.

Peter Diamandis — Public confidence in college has collapsed — the share of Americans who see it as important fell from 75% in 2010 to 35% today, even as tuition has grown 893% since 1983.

Salim Ismail — Campus backlash against AI isn't anti-technology, it's anti-extraction — students sense companies profiting from AI without renegotiating the social contract with the young people entering that economy.

Alex Wissner-Gross — A conventional 4-to-7-year PhD is a poor use of time right now because whole academic disciplines will be effectively solved by AI before a student finishes — universities should instead award fast 'one-month PhDs' for AI-assisted breakthroughs.

Peter Diamandis NEW — A new U.S. Space Academy was chartered (modeled on West Point) to train future spacecraft crews -- a brand-new non-traditional pathway for kids aiming at space careers.

Salim Ismail NEW — Because frontier AI models are now smart enough to bulk-solve narrow academic problems, anyone doing a master's or PhD on one narrow topic risks finishing a degree that AI has already made obsolete.

Dave Blundin NEW — A brilliant hire chose a Princeton PhD over joining Dave's fast-moving AI company; Dave says that by the time a multi-year PhD finishes, the person will be years behind the frontier and calls it the wrong move, even though family and academic pressure push kids toward it.

Peter Diamandis NEW — If you're a junior/senior applying to med school, law school, or a PhD program mostly out of momentum or to make family proud, treat your time as your most valuable asset: set aside real time now to imagine what else you'd do if you dropped out, because without that alternate plan you'll never be able to jump tracks later.

1 · Credentials are losing signal.

2 · Curricula can't keep up with AI.

3 · Starting something has never been cheaper.

4 · The window feels unusual.

Survivorship and selection bias.

Even the skeptics carve out exceptions.

The jobs apocalypse keeps not arriving on schedule.

Panel — Critical thinking and human connection are the essential future-proof skills in the age of AI and automation.

Dave Blundin — Kids who skip computer science classes may end up better prepared than CS majors for the skilled-trade and manufacturing jobs coming back as AI automates coding.

Reid Hoffman — Heavy AI users are shifting to 'computational thinking' — starting any new problem by drafting the prompt that will get the best research answer, rather than working the problem directly.

Peter Diamandis — The biggest mistake educators make is treating AI as a cheating tool rather than an amplification tool — students should use it to tackle graduate-level problems, not grade-level homework.

Tony Robbins — Teaches three escalating skills — recognizing patterns (removes fear), using patterns (builds power), and creating new patterns (makes you the best in an industry) — as the way to stay relevant regardless of what AI does to any given field.

Joe Liemandt — Forty years of learning-science research has shown kids can learn 2-10x faster, but that research never got implemented because it doesn't work in a teacher-in-front-of-a-classroom model.

Joe Liemandt — Traditional time-based schooling rewards IQ and conscientiousness so only about 10% of students naturally excel; mastery-based learning lets any student reach the top because success becomes a function of effort and time, not innate ability.

Dave Blundin — The traditional career ladder (school, entry-level job, gradual promotion) was already becoming a dead end given the pace of change; AI becomes the new fast, nimble teacher while the expanding economy keeps creating new opportunities.

Moonshots audience survey — In a 500+ response audience survey, AI literacy (78%) and critical thinking (72%) ranked as the top skills people believe will matter most over the next 10 years — well above finance or science/engineering knowledge.

Dave Blundin NEW — Says the skill entrepreneurs, builders, and executives need for the AI era is synthesis: when a swarm of AI agents produces way more output than any person can read, the valuable move is to wrangle that chaos down into one concrete, buildable answer instead of getting overwhelmed by it.

Peter Diamandis NEW — If you're worried about your job or getting a job, the single highest priority right now is becoming AI-literate: actually using the tools daily, not avoiding them, because that's what keeps you employable as AI reshapes the economy.

Dave Blundin NEW — Just using an AI copilot for a productivity boost isn't enough anymore - that bar is rising too fast to stay ahead there. The real advantage goes to people who learn to direct and manage tens, hundreds, or even a thousand AI agents at once, the way you'd manage a team of employees.

Salim Ismail NEW — Even as AI makes video production dramatically cheaper, the sheer creativity of storytelling, plot, and character choices is still the hardest thing to replicate -- so investing in real storytelling craft stays valuable even as production itself gets automated.

Salim Ismail NEW — Pointing to how one person (3Blue1Brown's Grant Sanderson) already produces documentary-quality educational videos alone, Salim argues that as new AI tools cut video production costs 10-100x, making great educational content becomes a realistic skill/career for far more people, not just big studios.

Gaby Toledano — Elon Musk doesn't require a college degree for hiring at Tesla — only that the candidate be technically competent.

Reid Hoffman — The entry-level job of two years from now will look very different from today's entry-level job — this is real job transformation, not permanent destruction.

Tony Robbins — You don't lose your job to AI; you lose your job to someone else who uses AI better than you do.

Tony Robbins — High school students now have higher employment rates than college students for the first time in modern history, because entry-level and middle-tier jobs are disappearing first.

Dave Blundin — At one surveyed university, computer-science job placement collapsed from 89% (2023, $94K average salary) to just 19% (2026, salaries below $61K) — a stark leading indicator of AI-driven white-collar displacement.

Dave Blundin — GitHub's peer-to-peer meritocratic rating system replaced credential-based hiring in Silicon Valley roughly 6-7 years ago — your public body of work, not your degree, is now your resume.

Alex Wissner-Gross — Knowledge-work professions are 'cooked' — OpenAI is mapping every white-collar vertical (clinicians now, law/consulting/finance next) and will keep shipping a 'ChatGPT for X' for each one.

Salim Ismail — Educational credentialing is shifting from 'proof of study' to 'proof of work' — degrees are being unbundled into demonstrated builds, network, and reputation.

Salim Ismail NEW — Says most company leaders are only 'dabbling' with AI — if you removed AI from their workflows today, nothing would actually change — and that the real career and business advantage goes to whoever restructures how work actually gets done, not just bolts a chatbot on top.

Emad Mostaque NEW — Warns that once AI is cheap enough, an average person's ideas and labor stop adding economic value and can even subtract from it (like a human driver mixed into self-driving traffic) — so the financial safety net going forward is owning equity in the robots and AI systems doing the work, not depending on a paycheck for thinking.

Dave Blundin NEW — Dave's concrete career-planning advice: get excellent at hands-on trades work like building data centers, cooling systems, and liquid cooling, then reinvest the money you earn into AI companies riding the boom. He argues this beats chasing a traditional white-collar degree (his example: accounting) in fields AI is about to automate.

Alex Wissner-Gross NEW — Warning against complacency in the trades: skilled trades like HVAC and electrical work are only a temporary safe harbor from automation. Within a few years, humanoid robots will make them just as automatable as white-collar spreadsheet work - so treat any current trade advantage as a sequencing opportunity, not a permanent safety net.

Dave Blundin NEW — Tactical advice for taking a well-paid but temporary opportunity (his example: a $600k/year electrician job building an AI data center that will itself get automated in a year or two): take the job and the money anyway, stay financially and mentally nimble, and be ready to jump to the next opportunity rather than freezing because it won't last forever.

Peter Diamandis NEW — Real-world proof that degrees aren't required for top jobs: OpenAI's chief research officer has no PhD, a co-founder dropped out of MIT, and Elon Musk says he'll hire anyone without a college degree based purely on what they've built, so demonstrated work now matters more than credentials.

Dave Blundin NEW — You don't need to be a core AI researcher to build something valuable: if you have specific, real-world data around a topic and use it to train or fine-tune a model, there's a good chance it'll beat generic foundation-model performance in that niche, which is a realistic path to a million-dollar company for any smart entrepreneur.

Peter Diamandis NEW — Because a company's proprietary data can now be worth far more than the company itself, Peter suggests a new career niche for accountants: a specialized practice that goes into companies and appraises their proprietary data as a balance-sheet asset.

Dave Blundin NEW — The valuable job skill of the near future isn't using an AI co-pilot as an assistant, it's learning to direct thousands (soon hundreds of thousands) of AI agents at a well-defined goal; most people freeze up on this because humanity has never had unlimited genius-level labor to direct before.

Peter Diamandis NEW — As AI execution gets cheap and easy, the scarce, valuable skill shifts to defining the problem itself -- picking a sharp, well-specified target is harder (and more important) than actually solving it once AI is pointed at it.

Naveen Jain — Raising children with a mindset of contributing to society — through both business and parenting — is what matters most; his own kids' entrepreneurial success reflects that upbringing.

Dave Blundin — Curriculum at institutions like MIT isn't even trying to keep pace with the rate of technological change — his own kids prefer learning from an LLM to attending class.

Dave Blundin — Standing bet that his 14-year-old son will never need a driver's license because fully automated driving will be ubiquitous before he turns 16.

Salim Ismail — Reiterates his standing prediction that his 14-year-old son Milan will never get a driver's license and won't attend college, because the university credentialing system will implode before he reaches college age.

Tony Robbins — Teaches his own children and clients three escalating skills — recognize patterns, use patterns, create new patterns — as the way to stay relevant no matter what AI does to any given industry.

Joe Liemandt — This is the best time in history to be a five-year-old — AI will give today's children lifelong superpowers, even as it disrupts adult livelihoods like driving for a living.

Joe Liemandt — Students aren't the obstacle to fixing education — parents' preconceptions about what school 'should' look like are the single biggest blocker to reform.

Salim Ismail — Personal countdown: pushing hard for full self-driving autonomy within two years, before his 14-year-old son is old enough to get a driver's license.

Moonshots audience survey — In the Moonshots audience survey, 57% of respondents rated their own or their children's readiness for the future at 4-or-below out of 10 — most parents don't feel their kids are being prepared.

Salim Ismail NEW — Reiterates his standing bet that his son Milan will never need a driver's license or go to university, and says he needs cheap robotaxis (down to 20 cents a mile) to actually arrive within the next two years so he can win that bet with his son.

Salim Ismail NEW — Points out that good parents already teach kids to judge whether a risk is a 'responsible' one instead of just saying no to everything scary — and argues that same judgment (weigh the risk, weigh the reversibility, then act) is the parenting-style maturity AI itself still needs to learn.

Emad Mostaque NEW — As AI and robots take on more elder care, Emad argues society should invest just as much in fully integrated, technology-supported child care that lowers the cost and burden of raising kids - because increasing the number of children in the world, done well, is one of the most valuable things humanity can do.

Peter Diamandis NEW — If your child has a health problem, don't wait passively for someone else to solve it -- AI-driven drug discovery is moving so fast that solving even a rare or idiosyncratic condition is now realistic, so find other families with the same condition, pool resources, and directly fund research into it.

Naveen Jain — The questions you ask determine the problem you solve — in a world where answers are freely available, the scarce skill is asking unique questions, not finding solutions.

Naveen Jain — Obsession, not passion, is what actually solves hard problems and sustains the years of work it takes to make a dent.

Peter Diamandis — The 'Universe 25' mouse-utopia experiment — total population collapse despite unlimited food, water, and space — warns that an unchallenged life without purpose or friction may not be survivable, let alone worth living.

Peter Diamandis — Across 27 startups, his biggest lesson is that pursuing a company purely for money rather than purpose or passion always led to failure — sustaining anything big and bold requires genuinely loving it.

Tony Robbins — External certainty is a total illusion — what people have is only 'rented certainty' from a job, income, or relationship that can vanish overnight, so real stability has to be built internally.

Tony Robbins — History compresses into a repeating cycle: good times create weak people, weak people create bad times, bad times create strong people, strong people create good times — today's disruption will forge a new 'hero generation.'

Salim Ismail — 80%+ of current AI projects are failing because companies are cramming AI into existing human-centric workflows instead of redesigning the organization around an AI-native intelligence architecture.

Dave Blundin NEW — The real singularity isn't when machines become infinitely capable — it's when institutions can no longer adapt at all to the rate of AI capability growth, and that breaking point has already arrived.

Peter Diamandis NEW — Tells listeners to drop self-limits inherited from parents, friends, or where they grew up, because AI has removed most of the old constraints — so figure out your biggest dream, then aim ten times bigger than that.

Alex Wissner-Gross NEW — Reassures that even though AI now outperforms most people's thinking, human ideas won't stop mattering — just like chess didn't end when computers started beating every human, people kept playing and kept valuing each other's ideas.

Salim Ismail NEW — Argues that since no individual can slow down the pace of AI change, the healthier mindset is to accept the disruption and 'enjoy the ride' rather than fight it — though Peter Diamandis pushes back on air that this is a low-agency way to think about it.

Peter Diamandis NEW — Peter's advice for this moment: whatever you thought was a realistic ambition, aim much bigger, because AI now gives ordinary people superpowers. Don't cap your goals to what your parents, teachers, or peers modeled for you.

Salim Ismail NEW — Our brains are wired (via the amygdala) to treat anything new and not-understood as a threat. When you see AI solve a major problem, consciously choose to interpret it as abundance and opportunity instead of danger - that reframe is the real skill to practice.

Dave Blundin NEW — History repeats: when the PC arrived, a chunk of every high school decided being 'too cool' for computers was an identity. The same counterculture is forming around AI now. Deliberately seek out people embracing it and ignore those refusing to, because the holdouts end up left behind.

Emad Mostaque NEW — Emad's blunt framing for why adopting AI matters now: if you don't, the average person in a country that has embraced it (his example: China) will simply be more capable than you, with smarter AI tools and more capable robots at their disposal.

Salim Ismail NEW — Don't fight the AI transition by trying to protect old tasks. Let AI absorb the repetitive 'white-collar drudgery' (copying numbers between reports, coordination busywork) and put your time into the judgment and experience that actually make a difference - the goal is maximizing your own agency, not resisting change.

Alex Wissner-Gross NEW — Alex's framework for planning a career through fast change: stop looking for one permanent, stable job. Instead think in a sequence of temporary 'modes' - each role (like a trades job) should build capital or skill that you deliberately convert into the next opportunity, and the one after that.

Salim Ismail NEW — Any advantage you build now (a skill, a product, a market position) has a shrinking shelf life, so the winning long-term strategy isn't finding one permanent edge -- it's building a personal habit of constantly reinventing what you do next.

Salim Ismail NEW — Stop being shocked every time AI crosses a new capability threshold. Instead, make plans with built-in triggers ("when AI can do X, we will change Y"), deliberately shorten your own learning cycle, and prioritize staying adaptable and flexible above any single fixed skill, since the tools will keep arriving faster, cheaper, and smarter.

Peter Diamandis NEW — The old advice to "think outside the box" is backwards -- real breakthroughs come from deliberately narrowing your constraints (the way US chip sanctions forced Chinese labs to engineer clever workarounds) and innovating hard inside that small box.

Thiel Fellowship

Y Combinator

Alpha School / 2-Hour Learning

Apprenticeship.gov

U.S. Space Academy