The other day, I was on a call with a friend of mine — we went to school together. He started as an engineer, moved into VC a long time ago, and has been a general partner at a fund for years — smart guy, sees hundreds of pitches a year, has a very goo…
Why AI Agents Fail in Production: Lessons from Shipping 7 Agents Across Healthcare, Logistics, and FintechThe gap between “it works in the demo” and “it works in production” is where most AI agent projects go to die. This article covers the five failur…
The dream of recursive self-improvement in AI—where a system doesn’t just get better at a task, but gets better at learning—has long been the ‘holy grail’ of the field. While theoretical models like the Gödel Machine have existed for decades, they remained largely impractical in real-world settings. That changed with the Darwin Gödel Machine (DGM), […]
The post Meta AI’s New Hyperagents Don’t Just Solve Tasks—They Rewrite the Rules of How They Learn appeared first on MarkTechPost.
Everything from installation to agents, skills, hooks, plugins, and Cowork. Written to master Claude code.Continue reading on Towards AI »
Microsoft Copilot doesn’t know what Salesforce Agentforce just did. Snowflake Cortex can’t verify what either of them meant. I wired them…Continue reading on Towards AI »
Part 3: Classifying nested formulas, decoding VBA orchestration, and governing a rule registry — before a single pipeline is writtenThis series is written for data architects, platform engineers, and technical leaders designing resilient data systems i…
Source: Image by Greg Daines on UnsplashEvery AI-generated PR on our team passes CI on the first try.That should be reassuring. It isn’t.I recently saw it play out on an ambitious AI-powered sales platform I consulted on. The platform comprised several…
Mastering high-performance vector search in 2026.Vector search is the backbone of modern AI. It enables Semantic Search, Retrieval-Augmented Generation (RAG), and recommendation systems. Relying on managed services is common. However, building your own…
How the Dynamic OODA loop, release train engineering, and structured learning loops converge in a practical harness for AI agent fleetsThe promise of agentic AI in software delivery is seductive: autonomous agents writing code, running tests, deploying…
Google has officially released the Colab MCP Server, an implementation of the Model Context Protocol (MCP) that enables AI agents to interact directly with the Google Colab environment. This integration moves beyond simple code generation by providing agents with programmatic access to create, modify, and execute Python code within cloud-hosted Jupyter notebooks. This represents a […]
The post Google Colab Now Has an Open-Source MCP (Model Context Protocol) Server: Use Colab Runtimes with GPUs from Any Local AI Agent appeared first on MarkTechPost.