AI Can Learn Scientific Taste Tong et al.: https://
arxiv.org/abs/2603.14473 #ArtificialIntelligence #AIAgents
AI
-

AI Learns to Evaluate Scientific Quality and Taste
By
–
-
Steipete and Openclaw Launch Unprecedented AI Project
By
–
What on earth are @steipete and @openclaw cooking? Unprecedented.
-

New Book Release: Multi-Agent AI Systems with MCP and A2A
By
–
New release from @PacktDataML available at: http://
amzn.to/40Sp4O9 "Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based Agentic AI Framework with tool use, memory, and multi-agent workflows" Table of Contents:
Introduction to Generative AI and AI -
AI Tool Gaining Daily Usage, Replacing Wisprflow Alternative
By
–
I've been using it more and more every day. It's even replaced Wisprflow.
-

Learn MCP TypeScript Build Agentic Systems New Standard
By
–
Also by @chris_noring … "Learn Model Context Protocol [MCP] with TypeScript: Build Agentic Systems in TypeScript with the new standard for AI capabilities" at http://
amzn.to/48W6Izu TypeScript explained — what is it; why and when to use it: https://
contentful.com/blog/what-is-t
ypescript-and-why-should-you-use-it/
… -

Learn Model Context Protocol with Python for Agentic Systems
By
–
Learn Model Context Protocol [MCP] with Python — Build Agentic Systems in Python with the new standard for AI Capabilities: http://
amzn.to/4njfsVM by @chris_noring v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
Understand the MCP protocol and its core components -

Building MCP Servers in Production Workshop March 29
By
–
See this @PacktPublishing is hosting a workshop on March 29 on “Building MCP Servers in Production”, led by Peder Holdgaard Pedersen — for engineers designing secure, scalable systems that support AI Agents. Find more details and register here: https://
eventbrite.com/e/building-mcp
-servers-in-production-tickets-1982519419953?aff=kirk
… -
Typeless Gains Mainstream Recognition After MrBeast YouTube Shoutout
By
–
I'm a huge Typeless fan since day one, and a proud subscriber.
— Charly Wargnier (@DataChaz) 22 mars 2026
I love supporting this team with feedback.
Earlier, my son told me @MrBeast gave them a shoutout on YT.
I was skeptical, but heck it's true!!
so thrilled to see Typeless going mainstream, they totally deserve it. https://t.co/nCsyTMyPAyI'm a huge Typeless fan since day one, and a proud subscriber. I love supporting this team with feedback. Earlier, my son told me @MrBeast gave them a shoutout on YT. I was skeptical, but heck it's true!! so thrilled to see Typeless going mainstream, they totally deserve it.
-
OpenAI Tools and Codex Adoption Needs Expansion
By
–
Basically, needs more adoption of https://
developers.openai.com/api/docs/guide
s/tools-shell
… (including in codex) -
Compute Becomes Primary Bottleneck for AI Testing Infrastructure
By
–
I feel my main velocity limitation lately isn't token speed anymore, it's compute. Running tests in parallel is taxing; can't wait for better cloud worker integration.