Marco Z's Avatar

Marco Z

@ocramz.bsky.social

ML, λ • language and the machines that understand it • https://ocramz.github.io

979 Followers  |  937 Following  |  1,285 Posts  |  Joined: 26.11.2024  |  1.6052

Latest posts by ocramz.bsky.social on Bluesky

I was there last November and these stores are still there :)

15.02.2026 06:55 — 👍 1    🔁 0    💬 1    📌 0

🙌

15.02.2026 05:27 — 👍 1    🔁 0    💬 1    📌 0

I'm completely unqualified to comment, but there's an "e-value" notion that combines the cost of sequential sampling as a series of bets and hypothesis testing.

14.02.2026 19:57 — 👍 2    🔁 0    💬 2    📌 0
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idk it has a certain ring to it

14.02.2026 18:02 — 👍 4    🔁 0    💬 0    📌 0

sounds cool what does it do

14.02.2026 15:04 — 👍 1    🔁 0    💬 1    📌 0

fwiw I generate haskell all the time with sonnet, but 1. I've used the language for 10 years prior to AI and 2. use it for applications where it shines (compilers, backend data crunching stuff etc)

14.02.2026 15:03 — 👍 1    🔁 0    💬 0    📌 0

bsky.app/profile/ed3d... smaller languages not only have fewer dependencies/frameworks but less overall training data. The composite effect of all this plus compiler feedback, operator proficiency etc is very hard to rank IMO

14.02.2026 15:00 — 👍 2    🔁 0    💬 0    📌 0

will be interesting to see whether this approach enables smaller models too

what are the scaling laws of models that can (partly) introspect?

huge and v interesting design space

14.02.2026 05:17 — 👍 10    🔁 0    💬 0    📌 0

I hope he's aware that his job is included in the count too

14.02.2026 04:09 — 👍 2    🔁 0    💬 0    📌 0

if your sentence happens to start with one of the unix commands, lol, lmao even

14.02.2026 04:04 — 👍 2    🔁 0    💬 0    📌 0
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a good working definition. Thanks! I'll need to ruminate on this for a while.
All sorts of questions about bias, calibration etc

14.02.2026 03:59 — 👍 5    🔁 0    💬 0    📌 0

is this part of the atproto semantics?

14.02.2026 03:39 — 👍 1    🔁 1    💬 2    📌 0

what are token and capability space? are we still referring to prompt design?

14.02.2026 03:32 — 👍 1    🔁 0    💬 1    📌 0

you can almost hear this ad

"sssub-sssymbolic took our preciouss

13.02.2026 20:39 — 👍 1    🔁 0    💬 0    📌 0

SIX papers to review for @icmlconf.bsky.social ?? that's like a full time job for a week

13.02.2026 10:52 — 👍 5    🔁 0    💬 1    📌 0

also, which haskell dialect?
SPJ with Notes?
point-free kmettoverse navigator?
grad student (only speaks GADTs and quantified types) ?

13.02.2026 09:50 — 👍 2    🔁 0    💬 1    📌 0

my driving question was how to produce a user-mode agent for locked down evironments (eg a corporate laptop), and both go and wasm produce portable binaries that work well

13.02.2026 08:34 — 👍 2    🔁 0    💬 0    📌 0

I use sonnet to write haskell all the time :) it won't produce type astronautics or super clever code, but it does have some depth

eg the other day it suggested a refactoring based on "tagless
final" which is a technique I hadn't used anywhere in the codebase and I got super proud of the lil ghost

13.02.2026 08:29 — 👍 1    🔁 0    💬 1    📌 0

I bet y'all thought I was joking when I said I was rewriting gastown in haskell

13.02.2026 08:24 — 👍 4    🔁 1    💬 1    📌 0

ok, seccomp/bpf is another Big Hammer I haven't tried yet

lots of respect you got it working 🤜

13.02.2026 08:24 — 👍 2    🔁 0    💬 1    📌 0

I'm going down the kubernetes route instead for agent containment

failed experiments so far:
- wasm/wasi
- go-landlock

capital-P project deferred: gVisor or firecracker

13.02.2026 08:17 — 👍 4    🔁 0    💬 2    📌 0

meaning you're on nixos?

13.02.2026 07:49 — 👍 3    🔁 0    💬 1    📌 0

wikipedia title salad disguised as gnosticism

13.02.2026 06:36 — 👍 0    🔁 0    💬 0    📌 0

good story! Now we're left wondering what that mysterious place is, why are they there, & more.

13.02.2026 05:28 — 👍 3    🔁 0    💬 0    📌 0
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good thing the authors themselves take a less polarizing stance

12.02.2026 19:37 — 👍 0    🔁 0    💬 0    📌 0

claude is like the PM from hell, it never says "no dude, yagni

12.02.2026 18:40 — 👍 2    🔁 0    💬 0    📌 0
Preview
Update on TorchAudio’s future · Issue #3902 · pytorch/audio EDIT from 2026/01/22: we just released TorchAudio 2.10, which marks the completion of the migration detailed below. Based on user feedback, one important modification was made to the original plan:...

(months deep into an audio deep learning project)

torchaudio goes into maintenance mode with whole module subtrees getting removed from one point release to the next

github.com/pytorch/audi...

12.02.2026 09:00 — 👍 0    🔁 0    💬 0    📌 0

💯 plus, rearranging all knowledge work to rely on hyperscalers supplying cheap tokens as a utility is .. short sighted

12.02.2026 07:49 — 👍 5    🔁 0    💬 0    📌 0
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<bart say the word meme>

12.02.2026 07:26 — 👍 0    🔁 0    💬 1    📌 0

can we just agree that this is 100% metaphysics and will _never_ be settled by reason or data

11.02.2026 21:24 — 👍 3    🔁 0    💬 1    📌 0

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