Get hands-on with MCP. MCP Academy is a practical, half-day training for developers building AI agents. Brought to you by Databricks and @StackLokHQ
, you’ll learn how to build secure MCP servers, curate trusted registries, and use MCP skills to expand what your agents can do.
GENERATIVE AI
-
MCP Academy: Building Secure AI Agent Servers and Registries
By
–
-
GroqCloud Reaches 3.5M Developers, Launches UK Data Center
By
–
GroqCloud is scaling fast. 3.5M+ developers and growing. Our UK data center is now live with Equinix, bringing low-latency, deterministic inference closer to teams across Europe. 👇
-
No Best AI: Orchestrate Multiple Models for Success
By
–
There’s no “best” AI. ChatGPT = generalist
Gemini = Google-native workflows
Claude = deep reasoning & long docs
Grok = real-time social insight
Perplexity = cited research Winners don’t pick one.
They orchestrate all. -
Paper and Code: Youtu-Agent Training Free GRPO Implementation
By
–
Paper: https://
arxiv.org/abs/2510.08191
v1
…
Code: https://
github.com/TencentCloudAD
P/youtu-agent/tree/training_free_GRPO
… -
Which exponential trends are you riding right now?
By
–
Which exporential are you trying to ride right now?
-
AI Whitespace: Finding Revenue in Current Limitations
By
–
I want you to spend your next 24 hours being 10x more vigilant on the things around you that AI is not amazing at today (and/or would be hard or expensive to overhaul in process improvements). Why? There are still (at least in the short-term) whitespace revenue opportunities in
-
Meta Team Heads to India for AI Impact Summit and Expo
By
–
Our team is heading to India this week for the AI Impact Summit & Expo Stop by the Meta booth (Exhibition Hall 3, Booth No. 3.7) to meet our team and experience: Demos of research, including Omnilingual Automatic Speech Recognition (ASR) and SeamlessExpressive
-
Categorical Flow Maps: Fast Discrete Diffusion for Single-Step Generation
By
–
Great work by @FEijkelboom et al Floor Eijkelboom (@FEijkelboom) Discrete diffusion — but fast? ⚡️ Test-time inference — but for discrete data? 🧠 Categorical Flow Maps: continuous transport toward the simplex, turning discrete generation into a single-step problem. Built on Variational FM (CatFlow), we obtain (self-)distillation from scratch. Language, molecules, and test-time steering — one framework. Scaling to LLMs and foundation models next. Watch this space 👀 — https://nitter.net/FEijkelboom/status/2023412552294686734#m
→ View original post on X — @wellingmax, 2026-02-16 15:38 UTC
-
Agentic Analytics: Databricks AI/BI Builds Dashboards Intelligently
By
–
What if your BI tool didn't just answer questions, but helped build the analysis for you?
— Databricks (@databricks) 16 février 2026
This is the shift towards agentic analytics that we're driving with Databricks AI/BI, Databricks One, and Genie.
Our latest updates bring intelligent agents that:
– Build dashboards from a… pic.twitter.com/FEWEpI9auRWhat if your BI tool didn't just answer questions, but helped build the analysis for you? This is the shift towards agentic analytics that we're driving with Databricks AI/BI, Databricks One, and Genie. Our latest updates bring intelligent agents that:
– Build dashboards from a -
Mental Models of AI: From Prediction to Execution
By
–
Best mental model for AI Traditional AI → predicts
Generative AI → creates
Agentic AI → executes The jump from GenAI to Agentic AI isn’t smarter text.
It’s ownership of workflows.