The Pistoia Alliance’s recent poll highlights a “scientific content crisis” in the life sciences, with 27% of professionals unaware of the data sources their AI models use, thereby affecting AI’s reliability. https://
bit.ly/4qkIRR5
#AI #Data #research #Elsevier #PistoiaAlliance
MACHINE LEARNING
-
AI Data Transparency Crisis in Life Sciences Research
By
–
-
AI Is Eating Software: The Next Wave of Disruption
By
–
“Software is eating the world, and now AI is eating software.”
-
MIT Research on the Instability of Long-Chain AI Reasoning
By
–
This MIT paper explains why telling models to “think harder” keeps failing in practice. The core argument is simple and uncomfortable: reasoning doesn’t break because models lack knowledge. It breaks because reasoning itself becomes unstable when it goes on too long. The
-
AI Cannot Learn Specific Knowledge Without Verifiable Answers
By
–
Specific knowledge doesn’t have verifiably correct answers – so it’s not something AI can be trained for, either.
-
Tapping a button and speaking writes posts on iPhone
By
–
This is magic. You click on a button, you talk, and it writes a post for you.
— Robert Scoble (@Scobleizer) 24 décembre 2025
I've been using it for a couple of weeks, and it's very well integrated into everything on the iPhone. https://t.co/ZaIicsdfH2This is magic. You click on a button, you talk, and it writes a post for you. I've been using it for a couple of weeks, and it's very well integrated into everything on the iPhone.
-
Datasets: Accounting for Size and Quality Metrics
By
–
Is this # datasets without accounting for size or quality? https://t.co/7dv2Lv6EBj
— Ken Goldberg (@Ken_Goldberg) 24 décembre 2025Is this # datasets without accounting for size or quality?
-
Scobleizer talks audio spaces, brain interfaces, and LLM theft
By
–
Audio spaces are where I bring a lot more of that stuff out. For instance, brain computer interfaces bring significant new problems that we have discussed a lot, since those are in the offing. But yeah, all the LLMs stole my work to be built without compensating me for slurping
-
Text-Graph Complementarity in NLP: R²-CoD Analysis Framework
By
–
💡Text + graphs have powered NLP tasks for a long time. But key questions remain: How do their representations relate to each other during learning? How does that relationship impact task performance? Under what conditions is integrating text and graph more beneficial? In our paper, "R²-CoD: Understanding Text-Graph Complementarity in Relational Reasoning via Knowledge Co-Distillation", we take an analysis-driven perspective and uncover a spectrum of behaviors from complementarity → partial alignment → full alignment. 📜arxiv.org/abs/2508.01475 🧵[1/8]
-
Scobleizer builds Huggingface robot, trains policies, asks Grok if it’s a policy
By
–
Hmm, I'm building my @huggingface robot, which looks like a fun toy. But will train it with a bunch of policies. I see others who have already built theirs and they put @Grok inside. Hey @Grok are you a policy?
-
Open-source topic modeling and data pipeline project
By
–
Si vous voulez faire le projet de topic modeling votre côté, vous pouvez repartir de mon Git : il y a les données dessus et un dashboard que j'ai dev pour en récupérer davantage, avec un squelette pour accueillir des pipelines. D'ici quelques semaines, j'y mettrai une version x.com/DFintelligence…