Seems plausible. Way 3 is feasible for small company/team to come up with a somewhat valuable dataset and pipeline that is specific and unique enough to provide value and get customers. More or less what I do
Seems plausible. Way 3 is feasible for small company/team to come up with a somewhat valuable dataset and pipeline that is specific and unique enough to provide value and get customers. More or less what I do
Yes, the models exist but their economic impact is yet very small
You also donβt emit any CO2 if you fly to the Maledives. The plane would go regardless of your ticket purchase
Make it a MCP server!
After all those years, the "data is the new oil" thing makes sense
Interesting, thanks for that. Selected more neutral scores, donβt see eg airborn precaution as my identity, but do it as a necessity
Movement Identity
Overall Identity Strength: 5.55 / 7
Airborne Health Identity
Overall Identity Strength: 5.75 / 7
Proactive Health Identity
Overall Identity Strength: 5.65 / 7
Cross-Domain:
Largest gap: Movement β Airborne (0.20)
Provisional Pattern: Integrated Triad
Cross-domain convergence: 98%
π Big news for TRL users with AI agents:
We just released the trl-training SKILL in TRL v0.29.0 π€
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.
Would maybe add llms.txt here (llmstxt.org). Not specific to agents or discovery but imho a good way to serve up-to-date static content.
Weβre excited to share a new preprint that may reshape how humans write -
TreeWriter: AI-Assisted Hierarchical Planning and Writing for Long-Form Documents π³
π arxiv.org/abs/2601.12740
Demo: drive.google.com/file/d/1R-X6...
Live demo: treer.ai
[1/5]
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
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.
Nemotron3 nano is a solid choice: huggingface.co/unsloth/Nemo...
Running it with 2x 3090 and OpenCode for local stuff.
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/...
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...
Fenster hoffentlich alle vorsorglich vermauert um Haftungsrisiko zu minimieren
βHackeβ is quite universal used for all hand tools that help loosen the soil; very general term. βQueraxtβ is a term I loosely remember from 19th century narratives, but itβs very uncommon in todayβs gardening practice.
Yeah, would have problems to name all the tools properly in German
Learning/speaking English now for ~30y and feeling quite comfortable with it. The density of new words in a single post is just insane. Need to level up my gardening game
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 βshared classroom exposure.β Poor air quality increases the risk exponentially.
www.nature.com/articles/s41...
Es gibt auch ein paar unaufgeregte Berichte aus den eher kreativen Bereichen, wie man Nutzen jenseits der sloppy Bilder/Filme/Musik ziehen kann
www.lennysnewsletter.com/p/nobody-wan...
FΓΌr bestimmte Themen gibt es schon gute Ideen, zB Jeremy Howards solveit
www.answer.ai/posts/2025-1...
Die Adoption und Adaption ist viel langsamer als von der Hype-Bubble angenommen, wenn die NΓΌtzlichkeit echt ist, wird sie aber kommen.
Ein KI-Tutor (βhilf mir binomische Formeln zu verstehenβ) ist eine ganz andere Hausnummer, ist aber Arbeit und keine WunderlΓΆsung.
Teile alle genannten Punkte, glaube aber, das viele der aktuellen Probleme eher auf βyou are holding it wrongβ fuΓen. Beispiel Bildungswesen: copy-pasta von KI-Antworten ist eine dumme Idee (und das ist so offensichtlich, das ich mich frage wieso man das diskutiert).
Beautiful typographic map
AI generated mandala coloring page with a spelling error from ChatGPT, Gemini adjusted the image and corrects the error
Creative work/parenting 2025 festive edition: ChatGPT creates the Mandala for K3 and you need Gemini nano banana to get the spelling right.
Aber das eine ist soviel gΓΌnstiger als das andere
Working on the important stuff outside the hype narrative seems to be a nice spot. I would also try to do that.
How you make money with any of the (business)models is an open question, but probably (for now) not as important as many think. DS playing obviously a long term game.