Woah, faer-ext crate has a Polars feature docs.rs/faer-ext/lat...

picard: pre-conditioned ICA (faster than FastICA) pypi.org/project/pyth...

gm to everyone except [checks notes] [edits notes] [re-checks notes] pytest ORT Rust extension dylib path configuration race condition induced segfault?

use of the word “slop” is becoming a tell for lazy criticism. Why was something “slop”? OK sure it was nondescript mush, but what else was it? (Ugly, poorly performant, malformed, … ?) The fact that the term has been taken up to refer to non-machine generated outputs gives the game away. It’s a punt

Came for the FastICA impl, stayed for the outrageously cute cyber Ferris github.com/rust-ml/linfa

Not sure I ever posted polars-nmf (non-negative matrix factorisation plugin github.com/lmmx/polars-...) but now Polars has persistent metadata, I think it’ll enable storing the H matrices you decompose into [while W goes into the DataFrame itself]—discarding them was so unsatisfying I abandoned ship

🧙‍♂️ topicwizard — a modern, model-agnostic framework for topic model visualisation and interpretation arxiv.org/abs/2505.13034 sklearn style topic model pipelines and plotly viewers github.com/x-tabdevelop...

S3: Semantic Signal Separation (2025) arxiv.org/abs/2406.09556 The fastest contextual topic model [4.5x faster than the runner-up BERTopic], notably higher coherence than FASTopic 📦 turftopic github.com/x-tabdevelop...

The atomic ensemble time scale at the NIST Boulder campus has failed.

BERTrend (2024) arxiv.org/abs/2411.05930

“Scatter/Gather Browsing” by Cutting et al. (including Tukey), SIGIR92 dl.acm.org/doi/pdf/10.1...

questioning whether there’d be any genuine intellectual merit in doing clustering on the arXiv embeddings // time series analysis to see them shift

Delighted to see that TOML has released a new version! TOML is overall a great standard but I understand they had limited people with the power to cut a new release. github.com/toml-lang/to...

Made an arXiv explorer so I can catch up on the papers I missed this year 😆 github.com/lmmx/arxiv_e... Allows you to select a given subject area and just download a year's data at a time (searches in real-time!)

New dataset acquired! 🗃️ 🤗 arxiv-papers-by-subject: arXiv catalogue (2.5M papers) split by primary subject area huggingface.co/datasets/per... (Currently topping up 1M+ rows missed on initial run in physics subject areas – if you're just interested in maths/stats/CS it's ready to use)

Graph embedding of a nightingale song www.instagram.com/reel/DSVUb03... Each node = a time frame, distances reflect acoustic similarity. Node size indicates overall energy/salience, color encodes {chroma energy / spectral centroid / spectral flux}, edges = temporal transitions between song elements

Over/under on me regretting letting Claude vibe upload the *squints* 29,000 parquet files to HF Hub and leaving the house…

Writing Python with Claude is wretched wretched wretched wretched

A cool feature for HF Datasets would be to repartition large datasets to accelerate the ‘saved queries’ (autogenerated from frequent use), Polars pushdown queries are still not fast enough to be practical [compared to just downloading] when the dataset is completely unpartitioned

to cook, one must first become fried

“I'll stop perseverating when I'm rate limited” is the new “I'll sleep when I'm dead”

Sometimes people will repair the guilt they feel about expressing their frustration* at code being difficult to write/run by framing their expression as constructive criticism *[which is not necessarily a reflection of the fault of a maintainer, e.g. the person may have been rushing or vibe coding]

Dangerously bored rn

a good text dataset would fix me… I got a DMCA on the BBC News dataset I filtered out of FineWeb (which was an official web scrape from HuggingFace themself… but you can’t rejoinder without entering full on legal proceedings lmao nope) feeling a need to embed something but out of ideas

my new year’s resolution is to be more Playfully Obstreperous

Made a little local real time emoji search app with polars-fastembed to test drive the Snowflake Arctic Embed XS embeddings (emojis plotted in 2D courtesy UMAP) 🎑 github.com/lmmx/emboji [Model card mentions you're meant to add a query prefix, was giving junk before I did that]

how are there five thousand emojis now

Haircut kinda looks like a dragon today

Yes yes it had a good year, now time for "slop" to die

Classic

Luxical One being no use for semantic search with a query fragment could be a blessing to think outside the box... For the Python PEP corpus Claude suggests grouping paragraphs into concepts, identifying 'orphan' PEPs, concept evolution (e.g. type hints), clustering (outliers being unique proposals)

There's a sort of homeostatic withdrawal to frictive development processes wherein, rather than actively noping out of a process [reactance] a developer will simply let the plate spin slightly too slowly to be kept in motion and ultimately fall off in a way that gives plausible deniability of intent

Going to upload my first m*del to H*ggingF*ce [dies of embarassment]

ONNX Model Explorer - a Hugging Face Space by onnx-community huggingface.co/spaces/onnx-...

Ohhh TensorRT doesn't like (some types of) quant models...

😇

hm, Windows binaries are incompressible by UPX due to a "Control Flow Guard"...

These new macOS 14 GHA runners have agoraphobia ._.

the audacity of github to charge me to use my own self-hosted runners resources.github.com/actions/2026...

ONNX runtime CUDA dynlibs shrunk -77% with upx + still work 🥳

New record: 3 Python packages published from one repo across separate workflows, 1 mixed Python/Rust via maturin-action, 2 regular pure Python pypa/gh-action-pypi-publish (all via Trusted Publishing) 🚀🚀🚀

🗞️ “US pauses implementation of $40 billion technology deal with Britain” www.reuters.com/world/europe...

Decided to rename ‘release paraphernalia’ to ‘mech’ because my brain was not caffeinated enough to type that all into a commit message

I guess we storing JSON in NPZ now

v cool: Luxical from datalogyai www.datologyai.com/blog/introdu... Snowflake Arctic (m-v2.0) as teacher model, 192D embeddings, vocab of 5-grams from FineWeb, BERT uncased tokeniser, custom CPU kernel in numba github.com/datologyai/l... Buried lede: arrow-tokenize in Rust github.com/datologyai/l...

Optimal transport planning on embeddings (Neurips 2024) proceedings.neurips.cc/paper_files/... FASTopic github.com/bobxwu/fasto...

“we observe that TensorRT always outperforms CUDA”

30+ min ONNX builds down to <2m ✧⁠\⁠(⁠>⁠o⁠<⁠)⁠ﾉ⁠✧

uh oh: "By operating directly over raw UTF-8 bytes..."