MCP – that was a pretty short time to be dead!
CODE
-
MCP Makes Comeback with OpenClaw Integration
By
–
MCP is so back. Peter Steinberger π¦ (@steipete) The next version of OpenClaw is also an MCP, you can use it instead of Anthropic's message channel MCP to connect to a much wider range of message providers. (I know, this is awkward) β https://nitter.net/steipete/status/2037715163562815817#m
β View original post on X β @jiquanngiam, 2026-03-28 16:48 UTC
-
Replit Powerful Tool UI Design Feedback
By
–
funny because Replit is super powerful, but I'm just not a fan of the UI.
-
Cohere Transcribe: Advanced Speech Recognition Model with Browser Deployment
By
–
Cohere Transcribe is setting a new standard for automatic speech recognition model accuracy in real world conditions β even with a noisy blender running. Try it out for yourself πhttps://t.co/cIHYqTVVyI https://t.co/yCdigM9U6W
— Cohere (@cohere) 28 mars 2026Cohere Transcribe is setting a new standard for automatic speech recognition model accuracy in real world conditions β even with a noisy blender running. Try it out for yourself π cohere.link/hpqiVWT Nick Frosst (@nickfrosst) @cohere transcribe Sota open source transcription model running in the browser π Weights on @huggingface link below β https://nitter.net/nickfrosst/status/2037914966305493286#m
β View original post on X β @cohere, 2026-03-28 16:27 UTC
-

GLM 5.1 fails to read tool output in Cursor IDE
By
–
@Zai_org In Cursor, GLM 5.1 completely fails to find/read any tool output, where GLM 4.7 and 5.0 works with the same endpoint — just different model name. Not exactly sure what GLM 5.1 is doing differently, looks the same in IDE and different approaches and tools also failed…
-
XGBoost Training Accessibility: No Special Requirements Needed
By
–
Just a reminder: you donβt need special permission, very specific hardware, an online account, or any other gimmick in order to train XGBoost. @trainxgb
-

Claude Prompt for Building and Launching Applications
By
–
A prompt you can use in Claude to help build & launch apps, via @milesdeutscher. [Translated from EN to English]
β View original post on X β @mit_csail, 2026-03-28 16:00 UTC
-

High-Dimensional Probability Introduction with Data Science Applications
By
–
βHigh-Dimensional Probability β An Introduction with Applications in Data Scienceβ, by Roman Vershynin UPDATED 341-page PDF 2nd Edition β download from the author's website: https://
math.uci.edu/~rvershyn/pape
rs/papers.html
β¦ #Statistics #Optimization #ML #MachineLearning #Mathematics -

Free 674-Page Machine Learning Textbook PDF Available for Download
By
–
Download 674-page PDF >> Introduction to Machine Learning (textbook on foundations, algorithms, and techniques): http://
arxiv.org/abs/2409.02668
ββββ
#MachineLearning #ML #DeepLearning #AI #Mathematics #DataScience #DataScientist -
Nostalgia for Classic LDA Algorithm from College Days
By
–
Oh wow, that's beautiful! Ha, and thanks for using classic LDA, I am kind of getting nostalgic here. It's one of the first pattern rec algorithms I implemented from scratch back in college: