Author/Founder of @stratechery. Host of @ditheringfm @sharptechpod. @notechben for sports. @monkbent on other networks. Home on the Internet.

Wisconsin, USA
So, I've launched a new podcast with @andrewsharp:
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One of the all time insane clipping cycles. Few people are more agent-pilled than me. I’ve literally built my own. When Muse came out I said it was more important than solving math problems. And somehow, saying that tech companies don’t know how to craft marketing messages that resonate is being framed all over the Internet as being a Luddite.
I respectfully disagree with @benthompson on this. He’s missing a key point - Consumers don’t have one relationship with “doing things”. I’ve learned it the hard way from building consumer and smb products for years at Google and now Meta. Browsing clothes can be entertainment (for some). But hiring a roofer is miserable (for most). Even with shopping, sometimes you want to browse for an hour. Sometimes you want the right thing just delivered asap. His argument sounds a lot like the early 2000s: “Why would I buy clothes online? I need to try them on.” “Why would I buy a $500 TV online? I will go check it out at Circuit City.” Technology keeps giving you better ways of doing things. Try hiring a roofer today: search, read 10 reviews, phone tag, coordinate with insurance, schedule inspection, get quotes, catch hidden costs, review their past work, hire, scheduling. For some tasks like this, better means almost zero effort. For others, it means considering more options, enjoying the process and making an informed decision. The latent demand for agents that remove this friction for consumers is immense.
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I need an agent to tell everyone on X they are wrong
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This is so user hostile @WhatsApp. Just straight up stealing desktop space.
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Ben Thompson retweeted
Frontier Overhangs Pacing the frontier may be sincere, but it would also be strategically useful for the frontier labs to have time to reduce overhangs caused by model advancement. stratechery.com/2026/frontie…
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Here’s my iPhone 18 Pro Max review: Do not buy an iPhone Air unless you want to immediately return every other phone forever.
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I have always said understanding accounting is underrated. I now realize understanding finance — specifically discount rates — is underrated as well. Long but excellent.
>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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Ben Thompson retweeted
Write Things Down Writing things down is powerful, for humans and for AI; what comes first, however, is what to write, why to do it, and actually getting things done. stratechery.com/2026/write-t…
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OK Gemini it’s now or never
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Ben Thompson retweeted
Autonomy and Innovation Incentives favor offense when it comes to agentic cybersecurity; it's the same dynamic that will limit incumbents and fuel startups in the long run. stratechery.com/2026/autonom…
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Ben Thompson retweeted
Nvidia’s Risky Business Nvidia is finding new ways for its customers to raise money, and it's expanding the risk of the AI buildout significantly. stratechery.com/2026/nvidias…
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So by far the funniest thing about using Claude and Codex together is how Codex is very earnest and businesslike while Claude treats Codex like an inferior but hard-working subordinate
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Never leave Sol unattended.
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