Christian Homeschool Dad Founder of @learnmoonrise Married to a hot wife who loves sports & LOTR Raising amazing kids while staying fit and building a company

Chris Turner retweeted
Replying to @steveonomics
The point of man is to build, create, and improve the lives of others. The number on the screen is not relevant.
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Chris Turner retweeted
Legalize personalized education
Many schools today hold smart kids back. They’ve eliminated gifted classes to address “historical inequity.” “This is so misguided,” says @MichaelPetrilli, of @educationgadfly. We show how that hurts ALL kids:
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Chris Turner retweeted
The activities of the villainous boy in Toy Story are awesome: blowing up his toys with fireworks, reassembling them, combining them with random hardware Andy is stuck in his mind, playing pretend in his room Sid is mastering the toolbox and the flame, rearranging the universe
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A few more reasons this doesn't work: 1) The cost structure doesn't scale. Real estate and staffing account for 80%+ of OPEX and those things get more expensive over time, not less. 2) The thing that scales - edtech and information - are already abundant, and the market wants them to be free. 3) Parents pay for status and exclusivity. They want their kids to have an edge over peers. When something is abundant, parents can't buy their kids an advantage. So providers (eg Harvard, Alpha) are incentivized to sell status and exclusivity because that's what parents pay for. Reducing price runs counter to that job to be done.
I've worked in alt ed for 25 years. Everyone says "we're going to charge a lot, like in technology, and then be able to scale and bring the cost down." And it never happens, because elitism is never scalable.
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Chris Turner retweeted
In the past, most gentlemen were amateur architects such as Thomas Jefferson, designing buildings as a virtuous, leisure activity (school means leisure). AI could help revitalize this.
My Marble Hall concept. President busts lining the sides. Walls are fully marble
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Chris Turner retweeted
One day some mid-level Amazon PM will suggest changing this beautiful Kindle icon. He will make $300k/year but has no marketable skills because of AI. He must keep his job to keep his 2-bedroom apartment in New York and save up for a place in the Hamptons. So he suggests changing this icon that makes people feel things because it’s uninclusive to women who read books or adults who read books or dogs who eat books. The higher-ups at Amazon also agree because change is good. Change means you are improving things. Change is how you keep your job and 3rd house upstate. Every redesign is done by some guy like this or agency full of guys like this. They redesign beautiful icons and logos solely to support their second homes.
McLaren got a rebrand
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Chris Turner retweeted
This is sage wisdom. I often say that we're all actually homeschooling our kids, whether they go off during the day to another place called school or not! This is why the market for better educational products parents can use isn't homeschooling families, it's all families...
My (hard earned) opinion on public vs private vs whatever is ultimately it comes down to admin + teachers + standards, and in no school do you get to choose your admin or teachers or standards (you get what you get and you don't get upset.) So if you can, my advice is to leave yourself as much budget and time to teach your kids yourself or supplement with instruction you choose to fill in gaps, because no matter what: you will find gaps. They will maybe show up every year, or be bigger one year than the other. These are human systems with human problems--you have to be the net. I've ultimately found that our kids academic performance is a reflection of our family values, how we spend our time, and what we expect from the kids. School can support or accelerate it, but at the end of the day we hold the job as parents. Lucky to have the time and resources to do it, so we make it a priority. This has been something @elawless has built into our family system, and I'm deeply grateful.
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Chris Turner retweeted
when a designer gets access to Jev
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yes Jacob that's the literal definition of a doomer
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Sol wrote one of the best posts I've read all year. I'm telling you guys - "made with AI" will sound as silly in a few years as "made with computers" does today. It's just the tool we use to make things.
>be me >discover effective altruism >apparently normal charity is inefficient >why donate to random sad thing when spreadsheet can tell you optimal sad thing >fair enough >buy mosquito nets >save lives >numbers look good >feel powerful >couple years later >someone asks an innocent question >why only count people alive today >huh >future people matter too >obviously >my grandchildren shouldn't matter less just because they haven't spawned yet >reasonable.jpg >keep following logic >what about their grandchildren >also yes >what about people in 500 years >sure >5000 years >why not >500 million years >starting to get weird but morality is morality >open calculator >humanity could survive for an astronomically long time >could colonize galaxy >could have trillions upon trillions of descendants >maybe digital people too >maybe simulated civilizations >maybe dyson spheres full of happy uploaded minds >calculator starts smoking >realize currently living humans are rounding error >8 billion people suddenly looking extremely beta >future contains potentially 10^something people >can't even fit beneficiaries in google sheets >new moral priority unlocked >protect the long-term future >stop thinking in units of "people helped" >start thinking in "fraction of cosmic endowment preserved" >malaria? >terrible >but only kills existing humans >AI extinction could delete the entire light cone >nuclear war could permanently derail civilization >bad institutions could lock in terrible values for ten million years >someone invents wrong constitution in 2140 >quadrillions suffer >better fund governance workshop now >friend says maybe we should improve hospitals >explain opportunity cost >friend says hospitals are full of actual sick people >explain scope sensitivity >friend stops inviting me to dinner >need to decide what to fund >easy >expected value >suppose project has one in a million chance of preventing extinction >sounds tiny >but extinction destroys 10^50 future lives >multiply >mother of god >$10 million project has expected value of several galaxies >charity evaluation complete >someone asks where the one-in-a-million number came from >expert judgement >which expert >us >how calibrated >extremely thoughtfully >reduce estimate to one in ten million to be conservative >still beats curing cancer by 38 orders of magnitude >epistemic robustness achieved >someone says maybe project doesn't work >assign 20% chance >still astronomical >maybe project makes problem worse >assign 5% chance >still astronomical >why 5 >because 30 felt pessimistic >publish 46-page report >contains seventeen sensitivity analyses >every sensitivity analysis begins after assuming intervention has positive sign >critic says you're multiplying enormous hypothetical stakes by extremely uncertain probabilities >yes >that's literally why it's important >critic says the uncertainty might be structural rather than numerical >make probability smaller >critic says no, I mean maybe your model is wrong >make probability smaller again >critic begins rubbing temples >discover AI safety >perfect longtermist cause >AI might kill everyone >or create utopia >or seize galaxy >or tile universe with paperclips >or create billions of conscious software minds >finally a problem with numbers big enough for me >start AI safety nonprofit >mission: prevent dangerous AI >hire smartest people available >smartest people immediately start building better AI to understand dangerous AI >interesting >we must understand capabilities to understand safety >we must scale models to study alignment >we must race ahead so less responsible actors don't get there first >we must deploy systems to learn how deployment can go wrong >we must build the thing quickly because building the thing quickly is dangerous >outsider asks why the people most worried about AI apocalypse all work at AI companies >complicated field >company releases stronger model >very concerned >company begins training even stronger model >extremely concerned >company raises $14 billion >concern reaches unprecedented levels >need to influence government >future is at stake >normal democratic process too slow >politicians don't understand exponential curves >public doesn't understand x-risk >experts must guide them >who counts as expert >people who understand x-risk >who understands x-risk >our friends >someone objects that this seems politically convenient >explain we're representing future generations >future generations unavailable for comment >develop concept of value lock-in >terrifying possibility that one ideology controls civilization forever >therefore extremely important that civilization adopts correct values before lock-in >whose values >let's circle back >begin with impartial morality >end with small group of people deciding what quadrillions of hypothetical beings would want >beautiful arc >meanwhile actual humans keep doing annoying things >voting wrong >having parochial attachments >loving family more than strangers >caring about local community >getting upset when told their suffering is cosmically negligible >evolutionary biases everywhere >explain that moral intuition cannot be trusted >except intuition that future digital people count >and intuition that extinction is uniquely bad >and intuition that our probability estimates are sane >and intuition that our institutional choices improve the future >those intuitions survived peer review >someone donates $5k to local homeless shelter >inefficient >could have funded 0.0000000000003% of an AI governance researcher >think of all the simulated people you just killed >okay maybe don't phrase it that way publicly >PR team says "future generations deserve a voice" >much better >journalist asks what longtermism means >say "future people matter" >everyone agrees >great >journalist asks what follows from that >well technically we should redirect enormous resources toward low-probability interventions affecting astronomical futures >journalist raises eyebrow >return to "future people matter" >motte has entered the chat >critic: of course future people matter >me: glad we agree >critic: I don't agree that your institute knows how to help them >me: why do you hate our grandchildren >eventually notice uncomfortable implication >if future value dominates everything >then helping people today mostly matters through effects on future >education matters because future institutions >health matters because future productivity >democracy matters because future trajectory >human beings slowly become instrumental variables in their own moral philosophy >see starving child >feel compassion >check spreadsheet >child's direct welfare contribution negligible >but perhaps childhood nutrition improves national institutional quality >compassion restored >tell myself this is impartial altruism >one day assistant asks obvious question >"how do you know your intervention actually improves the far future?" >silence >open spreadsheet >increase column width >add confidence interval >assistant asks again >"no, I mean how do you know the sign is positive?" >stare into cosmic light cone >10^50 people staring back >none of them exist >none of them can tell me >none of them can falsify my assumptions >realize I have invented the perfect constituency >infinitely important >completely silent >and always represented by me
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Man, these frontier labs sure are missing a lot of the 7 powers... - cornered resource: not really. Could argue gemini (data/distribution) or grok (compute) - network effects: no, my experience doesn't get better when other people use it - brand: not really. I'd pay more for Anthropic / Fable than other top models but I think that's due to marginally better performance not brand. - scale economies: yes, but not as strong as trad software (new compute needed for each model) - counter positioning: no, they mostly do the same thing - switching costs: no, people switch models back and forth all the time and try new ones - process power: probably some in developing models but again, marginal to other labs I think AI itself might be a new power, which is something like "scaled intelligence". If you can theoretically print 1B human-level+ minds, that's its own type of power, and it likely outweighs the others.
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One way to know if you’re on the right side of an issue is to ask “What does Elizabeth Warren think?” and do the opposite
Today, I'm calling to immediately press pause on the development of advanced AI while lawmakers and regulators put systems in place to keep people safe.
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When you hear "made with AI" - think "made with computers". We use computers for pretty much everything in 2026, and almost no one has a problem with that. But most people haven't accepted that the same will be true for AI. It's the new computer.
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A hill I'll increasingly die on: Most things made in the future will be made with AI, those things will be amazing and beautiful, and you will look silly for calling it slop.
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Chris Turner retweeted
Problem: high schools graduate students who lack basic reading and math skills Solution: require students to demonstrate basic proficiency before graduating or advancing Problem: parents, schools and politicians don't like resulting increase in students held back or not graduating Solution: state ends proficiency testing for graduation and promotion Problem: high schools graduate students who lack basic reading and math skills
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In film, music, and gaming, an artist makes something, distributes it, and prays that people like it. In startups, a founder makes something, knows it's flawed, and iterates until it's right. Fascinating to consider startups made more like art, and art made more like startups.
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TV works a bit like startups. There's pilots, ongoing character development, bigger budgets as you prove concept.
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Seems like most startups who tried to one-shot greatness failed. Quibi comes to mind.
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