Good question. Currently, I am more focused on writing about reasoning models (vs making videos on reasoning models) because the research landscape if evolving so quickly. Probably I'll make one in the future (more likely 2026ish) once the methodology converged.
MACHINE LEARNING
-
NVIDIA Brev: Cloud GPU Development and Model Testing Made Easy
By
–
Our models team uses NVIDIA Brev to build and test models. Brev makes it easy to spin up a cloud GPU, access a shell, and connect the remote filesystem to your local editor. Need a dev GPU? Check out our new guide:
-
Stanford Releases Healthcare AI Benchmark Datasets and Models
By
–
New benchmark datasets and models represent a concrete step toward having robust, accessible tools for the healthcare AI research community. Read up on the latest research happening inside @stanfordmed and @StanfordHealth
: -
Top Jobs Demand 2030: AI Technology Skills Growth Forecast
By
–
Which Jobs Will See the Highest Demand by 2030?
— Pascal Bornet (@pascal_bornet) 3 mars 2025
The future of work is changing fast! According to the latest World Economic Forum Future of Jobs Report, technology, sustainability, and human-centered skills will define the fastest-growing roles.
Top-growing jobs include:
🔹 AI… pic.twitter.com/hjsWvRC45oWhich Jobs Will See the Highest Demand by 2030? The future of work is changing fast! According to the latest World Economic Forum Future of Jobs Report, technology, sustainability, and human-centered skills will define the fastest-growing roles. Top-growing jobs include: AI
-
Q Algorithm: Logical-Counterfactual Optimization in Negotiation
By
–
Its algorithm says, "The output of Q is whichever output of 'Q' is logically-counterfactually expected to yield the best outcome." For its true negotiating partners, 'expected' includes their Q* modeling an other-distribution that includes Q.
-
Machine Learning and Statistics: The Inference Terminology Confusion
By
–
I'm used to it by now. Back when I was a statistics professor, I always had to start my lectures by clarifying that "inference" in machine learning has a different meaning than in stats…otherwise chaos ensued.
-
Terminology Update: Test Set and Test Time Rebranding to Evals and Inference
By
–
test set and test time -> evals and inference
-
AI Code Generation Won’t Match Top Human Programmers by 2026
By
–
> and may match the best human coders by late 2026
No, unless you compare it to a human coder working offline. -
DeepSeek Open-Sources Lightweight Big Data Processing Framework
By
–
DeepSeek has just open-sourced a lightweight big data processing framework! Built on DuckDB and **3FS, smallpond makes massive data handling straightforward. **3FS: The Fire-Flyer File System is a high-performance distributed system for AI workloads that streamlines
-
Real-time versus offline content collision in AI systems
By
–
makes sense, esp when you realize real-time and offline content is on a collision course