Recommended read! How data engineering tools should fit together.

Simon Späti 🏔️@ssp.sh · 3mo ago

I wrote an Almanack like Charlie Munger and Naval Ravikant did, but about life wisdom and my time of using Dagster for data orchestration over the years. Since using it in 2018, the story has gone from complexity to composability and from orchestrating to a full data platform.

The dust settled a bit around the chardet rewrite (simonwillison.net/2026/Mar/5/c...) and the practice seems to be considered ok (in a legal, not necessarily in a moral sense). Beside converting GPL or closed source code to more permissive licences, the general idea

“Humanity isn’t ready for that much software” Very true. I’m not sure, where the new bottleneck is located. Currently trying to build nicer, beautiful things and make MVPs a bit less messy. But not really settled on the right way, yet

rmoff 🏃‍♂️🫖🥓@rmoff.net · 5mo ago

Annie Vella - Finding Comfort in the Uncertainty annievella.com/posts/findin...

The public perception around this topic seems to shift. Slowly, but some hope exists that we will end up in a better position someday ssir.org/articles/ent...

The New Paradigm of Airborne Disease (SSIR)

The COVID-19 pandemic shattered established views of airborne disease. Although it represents a paradigm shift in public health, the field has yet to catch up.

ssir.org

Conor Browne@brownecfm.bsky.social · 5mo ago

I am convinced that the pandemic will lead to 2 paradigm shifts. The first, as described in this article, is a reconceptualisation of pathogens as not just common causes of acute illness, but also common causes of chronic illness. The second will be the end of droplet dogma time.com/article/2026...

🚀 Big news for TRL users with AI agents: We just released the trl-training SKILL in TRL v0.29.0 🤗 Agents can now use the TRL CLI as a structured capability:

I see AI-forward teams spending a ton of time building bespoke tools to help them develop more effectively using agents (see: proliferation of CLIs to work with git worktrees), trying out different models, testing our new workflows.

We’re excited to share a new preprint that may reshape how humans write - TreeWriter: AI-Assisted Hierarchical Planning and Writing for Long-Form Documents 🌳 📃 arxiv.org/abs/2601.12740 Demo: drive.google.com/file/d/1R-X6... Live demo: treer.ai [1/5]

TreeWriter: AI-Assisted Hierarchical Planning and Writing for Long-Form Documents

Long documents pose many challenges to current intelligent writing systems. These include maintaining consistency across sections, sustaining efficient planning and writing as documents become more co...

arxiv.org

This study presents "abstractive red-teaming," a method for pre-deployment audits of language models, identifying problematic query categories causing character violations. This innovation improves model reliability by exposing risks like illegal behavior and sexism. https://arxiv.org/abs/2602.12318

Abstractive Red-Teaming of Language Model Character

ArXiv link for Abstractive Red-Teaming of Language Model Character

arxiv.org

Quantitative measures are always a dangerous yardstick. You can describe severe diarrhoea as "an explosion in bowel productivity", but you wouldn't say it correlates positively with gut health.

Think of Alex and Palantir what ever you want; this is probably the best 3D-chess move you could make...

Started a collection of LLM use-case dataset on HF. Key entrances: the super cool ZenML LLMOps use-case database and Anthropic's new interview dataset. Details below, any other things to include? huggingface.co/collections/...

AI use-cases - a dwablimol Collection

A collection of datasets that describes various use cases of AI in enterprise and other settings.

huggingface.co

One of the few examples of how to use AI tools in a creative process that's fully curative instead of generative. Describing images, OCRing documents and make it searchable. www.youtube.com/watch?v=9ngb...

How Emmy Award–winning filmmakers use AI to automate the tedious parts of documentaries

YouTube video by How I AI

youtube.com

Classrooms as cluster-mixing machines because of poor air? Color me surprised. </s> This Nat. Comm. study found: In schools, it is not only direct contact, mainly the “shared classroom exposure.” Poor air quality increases the risk exponentially. www.nature.com/articles/s41...

Teile alle genannten Punkte, glaube aber, das viele der aktuellen Probleme eher auf “you are holding it wrong” fußen. Beispiel Bildungswesen: copy-pasta von KI-Antworten ist eine dumme Idee (und das ist so offensichtlich, das ich mich frage wieso man das diskutiert).

Mario Zechner@mariozechner.at · 9mo ago

Heute vor exakt 3 Jahren wurde ChatGPT veröffentlicht. Statt der Utopie haben wir: - Damit überforderte Bildungssysteme - Propagandamaschinen turned to 11 - Scientific Fraud - GDP Steigerung nur wegen Kreislaufgeschäften der großen Tech Firmen - Dead Internet - "Ich habe GPT gefragt ..." Cool.

Beautiful typographic map

Alexandre Médina@a-lex-map.bsky.social · 9mo ago

#30daymapchallenge · Jour 30 · Relooking 🌍 Europe · Europa · Ευρώπη · Європа 🔍 Zoomez pour découvrir les villes d'Europe dans leur langue. 🔽 L'ancienne carte, en commentaire, utilisait un texte de substitution, réalisée pour le #30daymapchallenge 2024. #cartographie #map #europe #europa

Creative work/parenting 2025 festive edition: ChatGPT creates the Mandala for K3 and you need Gemini nano banana to get the spelling right.

Really nice how you can get music notation for your kids to play along for the holidays:

Finetuning for coding tasks probably isn’t worth the effort. Your own model can be great for classification, dense vector search or other small tasks. For complex stuff like ‘coding’ in a broader sense, it’s not holding up to the promises.

Simon Willison@simonwillison.net · 9mo ago

Custom training a model on a specific codebase mostly doesn't work from what I've seen

Skimming the comments, acceptance is still far away

Armin Ronacher@mitsuhiko.at · 9mo ago

Is this platform still massively against AI or has it moved more towards acceptance?

The water thing is mostly overblown andymasley.substack.com/p/the-ai-wat... The electricity and CO2 impact is real and deserves serious attention, which is why it's annoying that the water issue steals so much of that attention

The AI water issue is fake

On the national, local, and personal level

andymasley.substack.com

Building datasets to train smaller, task-focused models used to be incredibly time-consuming. Very excited to see SAM3 massively lower that barrier. Describe the class you want to detect and get annotated datasets automatically! Try it yourself: huggingface.co/datasets/uv-...!

Yes, LLMs can automate parts of consumer research. But if you tell ChatGPT your SaaS idea and ask for feedback, don’t be surprised when it pats you on the back. The real question is: how do you get beyond the fluff?

Interesting point (still problematic tasks) but wrong conclusions. I’m again and again puzzled how intelligent people neglect the utility of LLMs/VLMs. They are far from flawless but can do so much already. If their abilities don’t overlap with your problem space, don’t use them there.

Chemistry World@chemistryworld.com · 10mo ago

Can generative AI be trusted to draw chemical structures? Not yet, according to two chemists who want to see the community take a tough stance against its use.

Have to dig deeper and maybe running a few experiments on this. But the abstract reads very promising: arxiv.org/abs/2509.24372

Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning

Fine-tuning pre-trained large language models (LLMs) for down-stream tasks is a critical step in the AI deployment pipeline. Reinforcement learning (RL) is arguably the most prominent fine-tuning meth...

arxiv.org

As a data guy who analyzes all sorts of effects on and from C19 since early 2020, I second this

Conor Browne@brownecfm.bsky.social · 11mo ago

Let me be clear. As someone who has been professionally involved with the biodefense / biosecurity sector for nearly 20 years, and has worked on biological risk analysis for Covid-19 since early 2020, reducing one's risk of being infected is not health anxiety. It's just smart.

It‘s unbelievable. Hunderts of “yeah, me too” replies and quotes. I mean, there are points to be concerned about the LLM/AI space. But this 🙈 tactic

Probably the most interesting podcast on AI I listened to in the last months www.youtube.com/watch?v=2Ngd...

Why Everyone Is Wrong About AI (Including You) | Benedict Evans

YouTube video by The Knowledge Project Podcast

youtube.com

This channel has some nuggets! Relatively new and only a few videos so far, but I read and watched the dbt and DuckDB related ones and they get much deeper than the usual 'hey look, cool new tools' fluff.

Data Lab Tech@datalabtechtv.com · 12mo ago

MLOps: A/B Testing with MLflow, Kafka, and DuckLake - Learn how to implement an end-to-end machine learning workflow, from data ingestion, to A/B testing and monitoring, using MLflow, Kafka and DuckLake.

And in Germany you can directly map the medium of the back and forth to an industry: Fax: healthcare email: public Slack: startups Teams: DAX Whatever the google tool is called this week: SME Discord: 🙃

Crystal Lewis@cghlewis.bsky.social · 12mo ago

What Data Management looks like in the real world 😊 Researcher: Here’s some data, can you wrangle it? DM: Sure! Do I have everything I need? Researcher: Yep! The next 6 months: A series of back and forth emails about missing files, unclear values, and why things are the way that they are.

Today is the new semester for @db.cs.cmu.edu's Intro to Database Systems! We're going harder into material than before. More challenging projects but you can use LLMs to help. We also have 10min talks each Wed from leading DB companies: 15445.courses.cs.cmu.edu/fall2025

CMU 15-445/645 :: Intro to Database Systems (Fall 2025)

You want to know whether this is the premier course at Carnegie Mellon University on the design and implementation of database management systems? Well, it is. This course rips through data models (re...

15445.courses.cs.cmu.edu