Agent mode is now generally available with MCP tools support in Visual Studio

GitHub Copilot rolled out Model Context Protocol support for their Agent mode in general availability. The usual security problems with MCP are compounded by the “Always allow” option for the tools usage.

Update to GitHub Copilot consumptive billing experience

It’s the end of unlimited access to the best model from all leading model providers in GitHub Copilot Chat. Now only GPT-4o and GPT-4.1 are unlimited.

It is another step towards the global reevaluation of pricing strategies for AI-based products. The aggressive promotion phase is gone. AI is becoming another kind of utility, and we may expect similar strategies.

https://eugeneyan.com/writing/writing-faq/

This FAQ about blogging kinda resonates with my motivation

AI makes the humanities more important, but also a lot weirder

AI is a double-edged sword in education. It helps students cheat on traditional assignments, but also acts as a powerful new tool that can fully engage them. Education has to change, but I believe it will ultimately be for the better.

Academics are kidding themselves about AI

If you want to critique AI, do it the right way :)

How we built our multi-agent research system

A great new read from Anthropic on how they built their Deep Research tool. A lot of practical advice.

How to set up a commit message template for GitHub Copilot

Blogs People Write

At a time when the words “AI” and “hype” have become almost synonymous, it’s crucial to be smart about choosing your sources of information. There is far too much information noise out there, and sifting through the sea of articles from various AI evangelists and generated garbage to find something truly worthwhile is incredibly difficult.

In this post, I’ll share the materials I read to stay up-to-date on the latest developments.

Poisoned Context: The Hidden Threat of Using Multiple GPTs

It’s summer. Time to plan a vacation getaway. You open ChatGPT, select the increasingly popular “Travel Advisor” GPT, and start discussing options. The advisor gives excellent suggestions, offers fascinating details about local attractions, generates pretty good itineraries, and generally leaves a great impression. Sure, some oddities pop up here and there, but you dismiss them as harmless hallucinations. You settle on Barcelona. Excellent choice. In the same chat, you switch to another familiar and popular GPT, “Booking Agent,” which has never let you down, and book your accommodations.

Griptape, Part 2: Building Graphs

In the previous post, I broke down the basic concepts of the Griptape AI framework, and now it’s time to put them into practice. We’ll try to use them to develop a small application that helps run a link-blog on Telegram.

The application will receive a URL, download its content, run it through an LLM to generate a summary, translate that summary into a couple of other languages, combine everything, and publish it to Telegram via a bot. The general flow can be seen in the diagram below: