Hey #python, #data and AI peeps! #pyconau 2026 is in Brisbane this year and the CFP is open!
Are you a (wrangler | engineer | curator | researcher) doing things with data or AI/ML? Consider sharing with the community--submit to the Data and AI specialist track!
2026.pycon.org.au/cfp/speciali...
I'm headed to San Diego this afternoon to attend the mech interp workshop at #NeurIPS! Really excited to give a lightning talk and catch up with everyone. 🌴
San Diego!
A selfie of me looking quizzically excited, in the poster hall of NeurIPS 2025, standing under the Deep Learning section sign hanging from the roof
I'm in town for NeurlPS all week. Wow this conference is biiiig. Anyone I know (or don't know!) up for a drink?
#NeurIPS #NeurIPS2025 #mlsky
A map of all the different names for woodlice in the United Kingdom
I like to think that this map of all the regional names for woodlice in the UK could also be a map illustrating the new tribes of humans to be found on the same landmass after The Great Digital Crash and ensuing breakdown of society.
The videos from the #DataBS Conference have made it to YouTube!
Over the coming days, we'll highlight sessisons from the event -- one post per talk.
You can also sneak ahead by going straight to the YouTube playlist, here:
www.youtube.com/playlist?lis...
I got introduced to @randyau.com's 'Data Cleaning IS Analysis, Not Grunt Work' post during the #dataBS Conf this week: www.counting-stuff.com/data-cleanin... . I just finished--it was a great read.
Here are some quotes and thoughts I'm walking away with 👇
1/9 #RStats
“In humans, curiosity usually begins as a mental stirring, but in octopuses,… it’s a function of bodily design. In a sense, curiosity + intention are dispersed throughout an octopus’s tissues—right out to the tips of its tentacles. Inquisitiveness… ‘is built into the octopuses’ anatomy.’”
Launch day 🚀
We’ve just released @chartlecc.bsky.social - a daily chart game!
Your job is to guess which country is represented by the red line in today's chart. You get 5 tries, no other clues!
Play today, come back tomorrow for a different chart with new data and share with your chart friends 📈
It's been a week since we launched @chartle.cc with @adnaanj.bsky.social and we had an amazing start!
- Average of 700 users/day
- Record 1.2K users yesterday
- From 78 countries
- 66% win overall
- 2m 18s average engagement
Thank you to all who played + shared the game
Any feedback, send our way!
📈 DuckDB 1.4.0 is out! This is our first LTS release which comes with *one year of community support*. It also supports database encryption, the MERGE SQL statement and Iceberg writes.
For more details, read the announcement blog post at
duckdb.org/2025/09/16/a...
Behold my latest keyboard, the JuggleKeyboard!
Just click the letters as they're juggled, it's an easy* way to type.
* it's not easy
Does anyone want beautiful historical depictions of celestial phenomena? Anyone? Well, here you go publicdomainreview.org/collection/f...
“AI chat" icon collage from the Mac App Store
"AI" is going great!
blog.jim-nielsen.com/2025/mac-app...
I'd recommend this course for anyone working on operational systems where LLM output may play a load-bearing role, even if you're not of the engineering persuasion, but are up for getting your hands dirty with some code.
maven.com/parlance-lab...
The course validated my intuitions that these foundations apply just as much to generative AI applications and has given me a road-tested pragmatic framework for applying them to the weird world of LLMs and AI engineering.
Their approach thoroughly resonates with my experience as a data scientist: look at your data, perform thorough error analysis, develop metrics that matter, and iterate via experimentation and user-feedback.
I recently completed @hamel.bsky.social and @sh-reya.bsky.social's AI Evals For Engineers & PMs, which presented practical frameworks for identifying appropriate dimensions of quality, creating automatic validators to measure at scale, and effective feedback loops that enable continual improvement
Assessing LLM output quality requires managing their vast input/output spaces and acute sensitivity to minor prompt changes, but many teams are still running on largely vibe-based evals, incurring considerable risk and preventing systematic product improvement.
We can do better! #databs #mlsky
If AI and workers were strong complements, what would we see?, by @joshgans open.substack.com/pub/joshuaga... Does the latest data tell us AI is a substitute for human work? Nope. Is that comforting? Also nope. My comments on @erikbryn and co. (and @Noahpinion
debugging new pretrain like
There is a reason why the introduction and first three chapters are required reading in weeks two and three of my law and technology course
Essential for understanding where we are
DuckDB is awesome and it’s a great tool to explore and transform data. But DuckDB doesn’t help you visualize and share data with others. That's why I built Shaper:
taleshape.com/blog/turn-yo...
#duckdb #databs #dataengineering
Data Behind the Scenes Conference free registration is open! Wed Sept 24, ~10am-5pm EDT. Online-only, single track.
Join data folks as they share experiences with how data work is done in production, thorns & disturbing hacks and all!
(Pls help get the word out 📈)
ti.to/databsconf/d...
#dataBS
I got my #DataBS Conf ticket todayyy! Come hangout with us!
ti.to/databsconf/d...
Is there any book for working professionals that teaches them how to dissect, compress, and traverse a domain quickly to come up with first principles of any domain?
To rapidly map any domain's knowledge structure in weeks, not years
Mythical agent month
Screenshot of embedding atlas showing the embedding view on the left, a table at the bottom and charts on the right.
🚀 We've just open-sourced Embedding Atlas – a tool for exploring large embedding spaces through rich, interactive visualizations 📊.
I’ve been working on an experimental, multiplayer, open-world AI chat system called Numinex.
1. Uses branching comment trees
2. Multiplayer/multimodel
3. Explicit context curation
4. Built on ATProto
5. Open observation of model behaviors
