Eggplant.place

116d

Introducing Incremental https://lobste.rs/s/c1j43n #logiclangs #ml
https://blog.janestreet.com/introducing-incremental/

86d

Language integrated LLMs as an OCaml function via @cryptix https://lobste.rs/s/savxgn #ml #vibecoding
https://anil.recoil.org/notes/language-integrated-llms

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126d

A Path Not Taken for OxCaml https://lobste.rs/s/ik5vhe #ml #plt
https://joel.place/blog/path-not-taken/

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280d

A long interview, but a must-watch. Tristan studied at Stanford, interned at Apple, and started a company that got bought by Google where he ended up working on design. He founded the Center for Humane Technology with Aza Raskin, who’s worked at Mozilla and whose father began the Macintosh project. You’ll find them on stage and podcasts together, but this was just several days ago.

https://youtu.be/BFU1OCkhBwo

#ai #agi #asi #bigdata #bigtech #data #llm #ml #privacy #security #surveillance #ubi

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147d

Reimplementing the Space Protocol Stack from Scratch https://lobste.rs/s/htdiau #ml #networking
https://gazagnaire.org/blog/2026-04-15-ccsds-protocol-stack.html

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295d

ON THE HOUR
#lispyGopherClimate with @kentpitman #live follow-up to last week's two interviews:
https://archives.anonradio.net/202511190000_screwtape.mp3
Loose plan:
- Ask a new question here
- lisp view on unix promoting tool reuse over new #programming - does this relate to lisp's advice?
- #ML using symbols (only?).
- Hypercard
- Juxtaposing assembly and #lisp

#climateCrisis this week is getting to 29C here and it's too hot
In the second half I would like to cool down, also featuring @jns @Cat @ramin_hal9001
#lambdaMOO #VR

Lispy Gopher Climate Banner

anonradio.net every 0UTC Wednesday (Tuesday evening in the Americas)

toobnix.org every 8UTC Sundays
(Sunday morning in Europe).

Unix surrealism pencil of the gopher and lisp alien.

ALT

Edited 295d ago

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285d

The present perspective outlines how epistemically baseless and ethically pernicious paradigms are recycled back into the scientific literature via machine learning (ML) and explores connections between these two dimensions of failure. We hold up the renewed emergence of physiognomic methods, facilitated by ML, as a case study in the harmful repercussions of ML-laundered junk science. A summary and analysis of several such studies is delivered, with attention to the means by which unsound research lends itself to social harms. We explore some of the many factors contributing to poor practice in applied ML. In conclusion, we offer resources for research best practices to developers and practitioners.

From The reanimation of pseudoscience in machine learning and its ethical repercussions here: https://www.cell.com/patterns/fulltext/S2666-3899(24)00160-0. It's open access.

In other words ML--which includes generative AI--is smuggling long-disgraced pseudoscientific ideas back into "respectable" science, and rejuvenating the harms such ideas cause.

#AI #GenAI #GenerativeAI #LLMs #MachineLearning #ML #AIEthics #science #pseudoscience #JunkScience #eugenics #physiognomy

Edited 285d ago

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117d

I found a budget bypass in #LiteLLM, since they don't pay here you go https://github.com/LargeHardonCollider/litellm-infinite-money-glitch

#cybersecurity #ai #ml

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267d

Well, my book on TDDA has become slightly more real:

It’s not expected to be available until April, but you can see it on the publisher’s website at

https://www.routledge.com/Test-Driven-Data-Analysis/Radcliffe/p/book/9781032897158

Although the publisher won’t let you pre-order till the end of March, the paper copy is listed on Blackwells and Waterstones:

https://blackwells.co.uk/bookshop/product/Test-Driven-Data-Analysis-by-Nicholas-J-Radcliffe/9781032897158

https://www.waterstones.com/book/test-driven-data-analysis/nicholas-j-radcliffe/9781032897158

and Amazon will let you pre-order paper or Kindle copies.

#TDDA #books #data #analysis #testing #datascience #quality #AI #ML

The cover of the book Test-Driven Data Analysis by Nicholas J. Radcliffe.
It is published by Chapman and Hall, part of CRC Press, from Taylor & Francis Group, and is part of the DATA SCIENCE SERIES.

The cover is black with mostly white text and a white graphic.

The graphic is a 3-row by 4-column grid of squares.
Each sqwuare contains a number of dots laid out on a regular 32x32 grid.

The top-left square has 1024 dots ("full") and working along each row
in turn, the number of dots roughly halves each time, apparently at
random (and, actually, pseudo-randomly).

The last rows boxes have six, two, two, and one dot.

ALT

Edited 267d ago

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100d

strace-ui, Bonsai_term, and the TUI renaissance https://lobste.rs/s/iwtzvc #linux #ml
https://blog.janestreet.com/strace-ui-bonsai-term-and-the-tui-renaissance/

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118d

O(x)Caml in Space https://lobste.rs/s/rrgo59 #ml
https://gazagnaire.org/blog/2026-05-14-borealis.html

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52d

Meta Garbage Collection: Using OCaml's GC to GC Rust https://lobste.rs/s/p3z0zw #ml #rust
https://soteria-tools.com/blog/meta-garbage-collection

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117d

Data race freedom in OxCaml via @avsm https://lobste.rs/s/yv4j6i #ml
https://kcsrk.info/ocaml/oxcaml/x-ocaml/blogging/2026/05/07/data-race-freedom-in-oxcaml/

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226d

Can someone clarify, in academia and industry are LLM hallucinations the result of overfitting, or simply a false positive?

I'm beginning to think that hallucinations are evidence of overfitting. It seems surprising that there are few attempts to articulate the underlying cause of hallucinations. Also, if the issue is overfitting, then increasing training time and datasets may not be an appropriate solution to the problem of hallucinations.

#AI #ML #llm

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1y

I read this with interest…

"Billionaires think that they're the smartest people who've ever lived, because they're the wealthiest people who've ever lived. If they were wrong about anything, then why would they have been so financially successful? […] They believe that everything can be quantified, like a person's IQ, and that money is a good measure of how much someone is worth."

https://arstechnica.com/culture/2025/04/youre-not-going-to-mars-and-you-wont-live-forever-exploding-silicon-valleys-ideology/

#tech #technology #BigTech #billionaires #TaxTheRich #capitalism #AI #LLM #LLMs #ML