david barsky @davidbarsky.com · 16/09/2026i found the post. they’re thinking, there’s a chain of thought, but they’re *not sentient* 010
david barsky @davidbarsky.com · 15/09/2026respectfully, at no point did will say they were sentient, i’m not sure where that entered the conversation. 141
david barsky @davidbarsky.com · 14/09/2026this guy is simply too much of a handsome jock be aware of worktrees or bundles, which, god i envy him 050
david barsky @davidbarsky.com · 14/09/2026like, google and fb hit this 15+ years ago. agents just means that the market for “scalable source control” goes from 10 companies to “everyone in software” 030
david barsky @davidbarsky.com · 14/09/2026you may not like how this guy is saying it, but this is fundamentally our bet. git is nice! but it’s designed for linus merging changes from some pals he met at a conference recently 370
david barsky @davidbarsky.com · 09/09/2026no problem! i can’t comment on the theological/consciousness arguments in here, but it is correct that unfolding is possible (just wildly impractical). i also think the comparison to frozen corpses is evocative, and uh… not wrong 😬 010
david barsky @davidbarsky.com · 09/09/2026…and training this thing starts to approach “heat death of the universe”-levels of absurd timelines 110
david barsky @davidbarsky.com · 09/09/2026ah, no, not really, they can’t be reduced to a single layer. the interesting interactions are between layers (induction heads), and even if you could, the “width” of the layer would be exponential with respect to squashed layers. there’s no storage medium dense enough to store it… 110
david barsky @davidbarsky.com · 08/09/2026but yes, dennett would not approve, but i genuinely wonder if he’d revisit his position if he were alive today. 110
david barsky @davidbarsky.com · 08/09/2026i mean this in good faith: are you invoking a sorites paradox? cause an attention head reading across layers in LLM is how they’re able to *do* stuff; they’re called induction heads. a single layer would be a very expensive bigram/skip-trigram lookup 210
david barsky @davidbarsky.com · 08/09/2026yeah, but there were like… 2 people other people qualified to do so, and they were working on astral.sh/blog/ty at a separate company (you’ll see my name on that blog posts. we shared the same underlying library and worked together on it for the better part of a year.) 010
david barsky @davidbarsky.com · 08/09/2026with ai. i did an equivalent task (sans ai) 2 years ago that took roughly 6 months, end to end. 100
david barsky @davidbarsky.com · 08/09/2026i think there’s a third option, which is “we stumbled into engineering intelligent p-zombies with lots of matmul whose unreasonable effectiveness in software is a function of robust RL environments, not of any innate capability” 110
david barsky @davidbarsky.com · 08/09/2026i don’t think it does. these tasks would have not been feasible before this year. 100
david barsky @davidbarsky.com · 08/09/2026it does not actually help. why do you think this is negligence? 000
david barsky @davidbarsky.com · 08/09/2026it was the case for some proofs, but it was not the case for erdos problem 90 or the unit distance problem done via astra. 020
david barsky @davidbarsky.com · 08/09/2026let’s say i have a TBI and forgot those classes. what would i learn that would make this leap a bad idea 100
david barsky @davidbarsky.com · 08/09/2026how about 2 papers from MIT (arxiv.org/abs/2310.02207, proceedings.mlr.press/v235/jin24e....), or one from harvard, MIT, and northeastern (arxiv.org/abs/2210.13382)? same findings. “probability modeling”: of what? the last paper showed the model learned board state from moves alone 010
david barsky @davidbarsky.com · 08/09/2026the other thing: portia spiders! they’re incredibly intelligent, can plan an indirect path to prey, and only have 100k neurons. i doubt they have qualia, but we *know* they’re not performing mimicry. if portia spiders are doing reasoning, then i don’t know how LLMs aren’t 230
david barsky @davidbarsky.com · 08/09/2026(the paper: transformer-circuits.pub/2025/attribu...)transformer-circuits.pubCircuit Tracing: Revealing Computational Graphs in Language ModelsWe describe an approach to tracing the “step-by-step” computation involved when a model responds to a single prompt. 130
david barsky @davidbarsky.com · 08/09/2026anthropic put out a paper last year showing how haiku answers “capital of the state containing dallas”. it activates a “texas” representation, then austin. when they replaced “texas” with “california” mid-computation to the same question, it output “sacramento”. that’s casual inference and meaning! 210
david barsky @davidbarsky.com · 08/09/2026i believe this is what paul is referring to when he talks about “reasoning”, not that they’re literally conscious 110
david barsky @davidbarsky.com · 08/09/2026please note that when i describe LLMs as intelligent, i am not making any phenomenological claims. i do not think claude has qualia. however, llms clearly has an internal representation of concepts that it can manipulate to arrive at previously unstated conclusions 111
david barsky @davidbarsky.com · 08/09/2026well, a few things: 1. the new models are roughly as good as i am at writing rust. 15 months ago, they were unusable. 2. idk how else to describe giving a model an ambiguous goal in natural language and have it accomplish it, entirely unaided, hours later. they’re clearly intelligent! 110
david barsky @davidbarsky.com · 08/09/2026idk what this is, but’s certainly no calculator printing “boobies”, that’s for sure 3263
david barsky @davidbarsky.com · 08/09/2026wild to see the replies to this post. i just had sol-5.6 write a fuzzer for incremental compilation in rustc almost autonomously. one of my cofounders had claude spend the night profiling/benchmarking our storage system and came back to a stack of changes in the following morning 7642
david barsky @davidbarsky.com · 01/09/2026nick noble drove this new site. he collaborated with stephen nixon of www.arrowtype.com. we have a bunch of other stuff coming and we can't wait to show it off! 130
david barsky @davidbarsky.com · 01/09/2026we're ridiculously excited to have martin, and we're *also* super excited to unveil our new site! 1100
Reposted by david barskymartinvonz.bsky.social @martinvonz.bsky.social · 01/09/2026I left Google and joined East River Source Control almost two months ago. Our redesigned website is now up, including a blog post about me joining: ersc.io/blog/martin-....ersc.ioEast River Source Control Names Jujutsu Creator Martin von Zweigbergk Chief Technology Officer // ERSCAfter 15 years at Google, the creator of JJ joins ERSC as CTO. 315626
david barsky @davidbarsky.com · 24/08/2026hmm, you’re right. i think the actual statement needs to be weaker: this works if you shard your agents into standalone/separate work. cross-shard transactions/edits aren’t really supported :) 120
Reposted by david barskyIsaac Corbrey @isaaccorbrey.com · 24/08/2026Megamerges are great! If you haven't heard of them, check out isaaccorbrey.com/notes/jujuts...isaaccorbrey.comJujutsu megamerges for fun and profitA practical guide to creating and maintaining powerful megamerge workflows in Jujutsu for faster, conflict-free development. 0132
david barsky @davidbarsky.com · 24/08/2026yup! i'll also author a blog post about this, linking to isaac's post! 120
david barsky @davidbarsky.com · 24/08/2026annoyed by large build directories or cross-worktree artifact sprawl? a #jj-vcs megamerge is a great place to run your builds and tests, because because if the megamerge builds, so do all of your worktrees! plus, your build directories are O(1) with respect to worktrees, not O(worktrees)! 2221
david barsky @davidbarsky.com · 21/08/2026amusingly (for some definition of amusing…), no government is *really* pushing for this to be addressed! the wording in the EU’s laws basically allows enforcement to not look at code forges 170
david barsky @davidbarsky.com · 20/08/2026for observability: so much `tracing` in honeycomb. locally: lol good question; everything seems to suck 160
david barsky @davidbarsky.com · 20/08/2026steve replied partially (bsky.app/profile/stev...), but to answer questions: 1. mixed auth: would be neat! not supported now. i’ll make a ticket. 2. capybara: some ideas, but it’s early days. 3. glean: we want some codenav, but didn’t think about to integrate arbitrary systems 150
david barsky @davidbarsky.com · 19/08/2026in general, would a relatively short blog post about how we have fine-grained, zanzibar-style permissions, no-long lived secrets, and first-class service account/workload identity (i forget how people refer to each…) be of interest? (in addition to the standard audit logs, ofc) 3130
david barsky @davidbarsky.com · 19/08/2026god if we’re the blonde of source control/forges, that’d be a treat and an honor 140
david barsky @davidbarsky.com · 19/08/2026we have no idea what software is going to look like a year from now other than “there will be far more code than anyone expects”. we’re building for *that* world. 130
david barsky @davidbarsky.com · 19/08/2026as a spoiler: we integrate with your existing CI; we don’t offer one at moment. current integration is buildkite, but it’s very easy for us to add one. 070
Reposted by david barskySteve Klabnik @steveklabnik.com · 19/08/2026Gonna start actually posting to the @ersc.io blog for real soon What do you want to hear about? 281147
david barsky @davidbarsky.com · 18/08/2026buy it now at $110; my 13-old year iron rangers are worth their weight in gold 020
david barsky @davidbarsky.com · 18/08/2026i mean, i’m *also* less confused, but… it feels like there are less moving parts with the former? 010
david barsky @davidbarsky.com · 18/08/2026i think there’s a lot of stuff that matters less, but monorepos vs. polyrepos aren’t one of them, imo. i feel like my claudes/codexes are far less confused when they work in a monorepo than in a polyrepo setup since there’s just one canonical history they can see 110