co-founder and CEO of Hex (hex.tech / @hexanalytics) - former @PalantirTech @formationbio - personal site: barry.ooo

San Francisco, CA
. @jakeserval this aggression will not stand
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the cognition / factory thing looks bad for everyone involved (especially the VCs, please stop) this kind of catfighting is one of the worst parts of tech culture and purely negative-sum they should bury the hatchet publicly and get back to work
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this made it into the WSJ lol
the work dinner situation is out of hand congress needs to pass some common-sense reforms: - cocktail “hour” no longer than 45m - seated for dinner by 6:30 - just serve the goddamn apps all at once - maximum 10 min gap between courses - dessert hits table by 8pm LATEST
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also I exclusively identify as a “technology executive” now ty
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ok so we’re just speedrunning the Butlerian Jihad from Dune
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what happens when you design your pricing with AI models capable of millennium prize math breakthroughs
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the work dinner situation is out of hand congress needs to pass some common-sense reforms: - cocktail “hour” no longer than 45m - seated for dinner by 6:30 - just serve the goddamn apps all at once - maximum 10 min gap between courses - dessert hits table by 8pm LATEST
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would love to see @Scott_Wiener and @conniechansf weigh in on this important topic for SF tech community
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people aren't appreciating 5.6 Luna enough it's super fast, and "smart enough" for most tasks – and priced (quite intentionally, I believe) to smother out open source we're quickly seeing it become the default for a lot of users in @_hex_tech and I'd expect to see that go up
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Hex would not be possible without DuckDB, it’s a goddamn miracle of db technology People are already hand-wringing about this outcome, but I’m so so excited for the project to get the resources it deserves
Today, @ducklabs_com is joining @awscloud. The move is expected to be completed by early September. Joining AWS gives DuckLabs the resources and reach to bring DuckDB, DuckLake, and the Quack protocol to many more developers and organizations – and to pursue ideas at a scale that would have been difficult for us to reach alone. The DuckLabs team will remain together in Amsterdam and will continue working for the Duck Stack community as an AWS subsidiary. Most importantly, #DuckDB and the other open source components of the Duck Stack will remain free and open source under the MIT license, with the non-profit DuckDB Foundation continuing its stewardship of the projects. This is a significant moment for DuckLabs and the Duck Stack community. It marks the end of one chapter that we are immensely proud of, and the beginning of another that we believe will take DuckDB much further. Read the full announcement here: ducklabs.com/ducklabs-is-joi… #AWS
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It used to be that the ideas were cheap, implementation was hard – and a deep technical blog post was almost a "dare-you-to-try-and-copy-this" flex Now that AI can repro in a weekend, I wonder if it will change the calculus, and people keep more secrets locked up?
Git at Scale (by cursor) has been one of the most interesting blog posts i've read in a while. It came right when I was frustrated with Shopify's internal git system. As an exercise, I've implemented it over the weekend as open source. It's a single rust binary that you can point at any S3 type object store. It uses WAL and CAS primitives and requires no other data store. It also implements bundle-uri so large git repos (like our mono) are very fast to download as a chain of static bundles. Also comes with basic familiar UX. github.com/tobi/walgit
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ok, hear me out: we should build a ton of AI data center capacity in northern Alaska I think about this a weird amount, because I’ve actually spent time there for work (I believe I hold the record for northern-most deployment in Palantir history?) Prudhoe Bay sits on the very northern coast of Alaska, and was once the largest oil field in America. It still pumps 180k barrels of crude oil per day from over 800 wells, with 2k people working up there. It also produces 8 billion cubic ft of natural gas/day. While in most oil fields it’d be exported and sold, in Alaska natural gas is re-injected back into the reservoir because it can’t be transported – pipeline is crude-only, and ships can't get up there with the ice. The “Alaska LNG” project to build an 800mi pipeline to south has been talked about for years, but would cost like $50b and wouldn’t be economically competitive with the Permian. So, there’s 40 trillion cubic ft of proven natural gas reserves – enough to create 25GW of power, continuously, for 30 years! And it’s just sitting there, trapped, fully accessible in a pre-drilled reservoir, with wells, pumps, separation facilities, gas storage, ice roads, an airport, lodging, etc. There’s already expertise on how to build and operate infrastructure, and a built-in workforce. Just drop some turbines in and you have as much on-demand electricity as you’d ever need – completely separated from L48 grid. I'm not an expert in data center cooling, but I would also assume that it would be a pretty efficient place to put these things - it certainly never gets too hot! Of course a natural reaction to this might be that building data centers would somehow despoil the pristine landscape, but the footprint and impact would be extremely slight compared to the massive amount of oil and gas infrastructure already up there (much less what would be required for LNG export). Also, having been there, I can tell you that it basically looks like the moon - it's just flat, white tundra for miles and miles around. You'd be disrupting much less wildlife there than you would almost anywhere else in the U.S. that you would build this stuff. And, unlike basically everywhere else they’re trying to build data centers, you’re not in anyone’s “backyard” – most of the people up there are oil workers anyway, and the full-time Slope population lives away from the oil fields. There's some random smattering of projects being talked about (like 1-3GW theoretical, total) but I don't think we're talking about this nearly enough? Is there some reason this isn't like, the backbone of our national AI strategy, assuming we have to build these somewhere? @elonmusk get in on this man
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also anyone worrying about latency, quick math is that RTT Prudhoe to SF would be ~50ms over fiber – compared to like 35ms from Texas to SF so like +~15ms; immaterial, and anyway there are plenty of use cases where higher TTFT is fine (training being a huge one)
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new frontier SoTA for technical writing
We're making Git hosting more reliable, performant, and scalable. This post traces 20 years of Git infrastructure and explains how that history led us to design and operate our Git storage, Origin, as if it were a database. cursor.com/blog/git-at-any-s…
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I generally find the "FDE" discourse frustrating because almost no one understand how it actually works it was fun talking to @ivory_tang about this – and how you can really tell who is doing it for real
"It's only 'Forward Deployed' if it's from the Palantiré region of France. Otherwise it's just sparkling Sales Engineering." @barrald, CEO @_hex_tech and early @PalantirTech, reveals how a clear tell is who dictates your roadmap. If it's coming from a conference room in SF, from PMs who rarely see customers and engineers who never do, you can call them forward deployed engineers. You're just not doing forward deployed engineering.
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We just published the first version of DataBench – and it shows just how jagged the frontier is when it comes to the kind of hard, real-world analytic reasoning tasks that matter. As it turns out, AI can solve obscure math problems but can still botch a simple question about marketing spend. DataBench helps measure this concretely – and also points to some reasons why this is the case and what we can expect as models improve. Much more below 👇
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sometimes you meet a founder and you just know they were meant to build a thing Matt was meant to build @ref_tools. He's attacking problem everyone building with AI today feels, and doing it with heart and fearlessness I couldn't help but to kick in a few bucks (which I hope were earmarked to make this excellent video!) to help back them
Today, we're announcing @ref_tools open beta. Ref is your team’s shared space to decide what agents build before any code gets written. We’ve raised $4M from @villageglobal, @Daybreak_Fund, @tmrohan, @RitualVC, @tonigemayel @barrald @wesmckinn and @bentossell. Every engineering team is battling the same problem. I call it Velocity Sickness. It's the disconcerting feeling that you're moving fast but not having the impact you expect. It's affecting individuals, teams and especially leaders. It looks like: - Too many PRs to merge. - Brainfry and burnout. - Engineers running in different directions. - Critical decisions being made by agents. The last one is the most dangerous. At its core, software engineering is about two things: (1) what decisions matter for my system? and (2) making those decisions. When you let agents make critical decisions, you lose ownership of your system and product. You solve these problems with Ref. Learn more: ref.tools/blog/ai-broke-code…
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How many jobs are generated by not making another Myst game? Here's an article about the "existential crisis" of cost for developing AAA games, and how they can't afford to make another Myst – but the only mentions of how AI might change this are negative ("slop") It is obvious to anyone with eyes the cost of building games like this is going to go down by 10-100x as AI gets good at these tasks – and anyone writing about game studio economics should be curious about this! But the Discourse has coded AI game development as Bad Job Displacement – versus being optimistic that it could make it so small studios like this can do more and punch above their weight This bums me out because the current state is a pure net negative – people don't get a great game, and game developers don't get jobs
“Myst” sold over 6 million copies in the ’90s. Its latest sequel couldn’t shore up any funding, pointing to an existential crisis among double-A games. wired.com/story/no-one-can-a…
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