Go Bears! 🐻 x 🧱
All seven Databricks co-founders began our journey together at UC Berkeley. We started the company in a room in Soda Hall, moved to a small office on Addison Street, and spent our first few years in Berkeley before eventually heading to SF. Two of our co-founders are still on the faculty. Today we announced Databricks Field at California Memorial Stadium, our first collegiate athletics sponsorship. Berkeley shaped everything about how this company thinks, and this is our way of investing in the next generation of students and builders who'll do their best work on that campus. Go Bears! databricks.com/company/newsr…
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dedicated by @Petedavis is criminally underrated and the antidote to flawed EA thinking. lucky to have read it before what we owe the future to realize it’s the better way
>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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Sammy retweeted
Replying to @armand_ruiz @Muse
the UX of taking control still needs some work given how bad some sites on the internet are designed. muse really struggles to navigate captchas, passwords, OAuth, scrolling, copy/pasting…esp on mobile where the screen is even smaller. slam dunk otherwise!
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calling it now, muse’s killer use case is ecommerce
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muse is meta's best new product in a long time. most useful personal AI I've used
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I'll be in Denver in three weeks for a rooftop chat with @aarondfrancis and @SA. We'll be chatting Laravel, Laravel Cloud, and even deploying Node, Python, Go, and Rails. 👀 Also giving away Laravel Cloud credits, domains from @namedotcom, and a Nintendo Switch 2 to celebrate that Ocarina of Time remake trailer. ⚔️ luma.com/laravel-93u0
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hard habit to kick and can be v useful at times but shortens your life no questions about it substack.com/@gurwinder/note…
2 hours scrolling on phone per day is 1 month of an entire year gone... so you lose almost 1 full year of your life for every decade spent doing this
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Sammy retweeted
2 hours scrolling on phone per day is 1 month of an entire year gone... so you lose almost 1 full year of your life for every decade spent doing this
i can't believe it, i literally can't believe it. i'm running the numbers over & over, typing it into the calculator different wats, even asking Claude to check my math. i absolutely cannot believe that doing something 2 hours a day equals one month per year. how is that possible
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a compelling description of a post-AI world through the lens of history
We already know what a world without work looks like. It's the life of 18th century aristocrats, who concerned themselves with political gossip and petty dramas; of society ladies in the 1980s, who spent their time hosting and volunteering; and Italian-Americans in 1950s Boston, whose status was centered around their peer groups, rather than their jobs. Relational living comes to us naturally, but – argues @clarabcollier – work offers us dignity, structure, and meaning, as evinced by surveys that consistently find that about 85% of Americans are "somewhat" or "completely" satisfied by their jobs. Work gives us an escape from the cliquishness of relational societies: without it, our personal relationships might become even more stifling and transactional.
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Pumped for this—come hang out!
Denver area friends! Come join us on Wed, Sept 30 for a conversation with @taylorotwell, @aarondfrancis , and @namedotcom special guest @SA . We'll tackle framework migrations, multi-lang support on Laravel Cloud, and more. Limited spots so sign up here→ luma.com/laravel-93u0
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cry wolf enough times when the real thing happens people are tuned out
Overall, I’m very surprised at how little media coverage there’s been around the OpenAI / Hugging Face attack. It’s clearly one of the most important things to happen this year.
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“We are making this choice because we cannot be confident that SpaceX will use our technology within our terms of service, based on our experience with Elon Musk's companies violating contracts.”
We’re ending our partnership with Cursor following its acquisition by SpaceX. Under our proposal, Cursor’s direct access to our models would end on November 12. We know that the people most affected by this decision are the developers who rely on OpenAI models in Cursor. We care about their experience in this transition and we’re ready to go above and beyond to support them. openai.com/index/our-decisio…
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my top 10 (for b2b saas under $1m ARR): 1. wom/brand 2. founder-led sales 3. giving away free stuff 4. content: linkedin/YT/X, etc. 5. attend events w/o sponsoring 6. ads (esp google/META) 7. referrals 8. seo 9. stunts 10. lifecycle/product notifs
ranking gtm channels by priority (if your b2b saas is under $1m arr): 1. word of mouth 2. referrals 3. seo 4. linkedin / x depending on your style 5. hacker news (if dev tool, then higher) 6. reddit 7. product hunt 8. ads
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in a nutshell, "do things that don't scale" for a long time
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ranking gtm channels by priority (if your b2b saas is under $1m arr): 1. word of mouth 2. referrals 3. seo 4. linkedin / x depending on your style 5. hacker news (if dev tool, then higher) 6. reddit 7. product hunt 8. ads
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gary the lobster
14 yo: If Y Combinator had a mascot, what would it be? Me: I suppose it would have to be a cockroach. 14 yo: Not a very appealing mascot.
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The girls with Clavicular got the ICK after he flexed that he could jump and touch the ceiling💀
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Sammy retweeted
Choose your (free) fighter: ○ .online ○ .site ○ .space ○ .store ○ .tech ○ .website
New Pro accounts now get a free domain for 1yr. Choose from these TLDs after checkout: ✓ .online ✓ .site ✓ .space ✓ .store ✓ .tech ✓ .website vercel.com/changelog/free-do…
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🎯
A bespoke software revolution? I don't buy it. It'll exist. It already exists. Small consultants and big consulting firms have made custom software for years. It almost always sucks. It’s bloated, confusing, and because the client pays, it’s built wrong in all the ways. Who’s excited about bespoke software? Software makers! Of course they're excited about building bespoke software — that's what they do. X is full of them. Your feed is full of people who love making software talking about making software. Of course they’re excited about the revolution. Echo, echo, echo... Most people don’t like computers. Nobody in tech wants to say that out loud. People tolerate computers. They use them because they have to. Given the choice, most would rather not think about them at all. So when someone suggests that AI means everyone will build their own custom tools, ask who "everyone" is. The three-person accounting firm drowning in client paperwork? They want the paperwork gone, not a new system to maintain. The regional logistics company with 40 trucks? They want the routes optimized, not Joe spouting off about this new system he’s been messing around with. The law firm billing 70-hour weeks? They want leverage on their time, not a software project to design. They don’t hate technology. But building and maintaining their own critical systems isn’t their wheelhouse, regardless of how much faster and easier it’s become. It's another job on top of the job. Will these people use AI? Absolutely, for all sorts of things. Will some outliers go deep and build real custom systems? Sure, but they're almost always people who already had some pull toward software. The curiosity was already there. They were dabblers before. Giving everyone access to software building tools doesn't mean everyone becomes a builder. A powerful excavator doesn't turn a homeowner into a contractor. Most people just want the hole dug by someone else. They don’t want the responsibility either.
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