Korkrid Akepanidtaworn (Kyle)

AI Apps & Agents Factory Lead @Microsoft who often re-tweets articles of data science, economics, and politics 📈📊

[Korkrid Akepanidtaworn (Kyle) @k_akepan]

How I build a high-performing data science team using AutoGen Studio? 💡#DataScience #AutoGen

Read here: https://t.co/1n7IRPXlGh

[Dr. Eli David @DrEliDavid]

Andrej Karpathy (not a US citizen), the top AI scientist at Anthropic, is now barred from accessing Anthropic's top AI model.

This is beyond stupid.
_

[Tech with Mak @techNmak]

Teaching TCP/IP this way would save thousands of students.

[Priyanka Vergadia @pvergadia]

BREAKING: Microsoft just launched its own AI model family and the coding model inside GitHub Copilot.

MAI-Code-1-Flash. Shipped to every Copilot tier. I just tested it to build an app. Check out the video 👇

85.8% benchmark score. 256K context. 60% token reduction on hard tasks.

Here are the other models.

→ MAI-Code-1-Flash (coding, free)
→ MAI-Thinking-1 (reasoning, 35B params)
→ MAI-Image-2.5 (image generation)
→ MAI-Transcribe-1.5 (speech, 43 languages)

[Microsoft AI @MicrosoftAI]

MAI-Code-1-Flash is here! Built and optimized for GitHub Copilot. From quick fixes to complex engineering challenges, write better code with more return on token. Rolling out to GitHub Copilot individual users in Visual Studio Code in the model picker and under the default auto picker now.

[Jordi Ribas @JordiRib1]

As Satya shared in today’s keynote at Build, we just launched Microsoft Web IQ - our next generation search engine for AI agents. It is a new suite of AI-native grounding APIs designed to connect AI systems with fresh, reliable web data for enhanced real-world intelligence including, web pages, news, images, and videos.

Search engines like Bing were built for humans, yet the next era of search will be for AI agents. Some estimates indicate that agents will generate 1000 times more queries than all search engines for humans combined in a few years, so not surprisingly, this is an exciting space with many competing solutions already.

To build Web IQ, our search team leveraged more than 20 years of technical innovations in Bing and re-architected the stack to serve agent queries most efficiently. Web IQ leads across the three things that matter most in this space: quality, latency, and token efficiency - as you can see in the graphs of the Bing blog linked below.

As an example, you may remember Harrier, our best-in-class embedding model I posted about a couple months back, which is still #1 in the relevant industry leaderboard. Harrier plays an important role in this system by helping optimize semantic retrieval, which strengthens the grounding pipeline. It’s just one of the many innovations that helped us build Web IQ.

Web IQ is also designed to honor publisher preferences by default, with systems and policies respecting publisher controls and content access preferences across the web.

The APIs in Web IQ are already powering nearly all AI agents and chatbots in the industry today, including Copilot and ChatGPT, so Microsoft is currently leading this new and rapidly growing category of search grounding for agents. I’m proud to share this important work and to continue driving innovation that is shaping the future of search.

[OpenClaw🦞 @openclaw]

"You can run OpenClaw inside your company now." Annoucing our work with @Microsoft to bring OpenClaw to the Microsoft and Windows ecosystems. Claws now work securly in the enterprise.

[Microsoft AI @MicrosoftAI]

Seven new models launching at Build: let’s go!
Reasoning. Code. Image. Transcribe. Voice.

Built from scratch on a clean data lineage, designed for efficiency, working seamlessly as a family of models

Thread 🧵
#MSBuild

[Alex Smola @smolix]

🧠 Machine Learning Summer School (MLSS) 2026
📅 June 15–26 📍 Columbia University, NYC

Two weeks of lectures, tutorials & labs on LLMs, RL, agents, alignment, interpretability & reasoning — with Carlos Fernández-Granda, David Rosenberg, Paola
Cascante-Bonilla, Andrew Owens, Ali Hirsa, Gary Kazantsev & me.

See you in NYC 🗽 @TechAtBloomberg @boson_ai #MLSS2026 https://t.co/9EAikKnIXX

[McKinsey & Company @McKinsey]

The next phase of AI transformation is happening at the workflow level.

Companies are using agentic AI to coordinate tasks, decisions, and customer interactions across entire journeys—while rethinking the operating models needed to support it at scale. https://t.co/UgFVX6YEIq

[Cameron R. Wolfe, Ph.D. @cwolferesearch]

I just published a detailed guide on evaluating agents. It covers:

1. Agent fundamentals (everything from basic concepts to complex ideas like multi-agent systems).
2. Common evaluation patterns / frameworks observed in practice.
3. Case studies of popular agent benchmarks (e.g., Tau-Bench and Terminal-Bench series).

Building high-quality evaluation capabilities is now more important than ever due to the growing adoption of agents in high-stakes applications like coding and medicine. Although evaluation is time-consuming and difficult, learning how to properly evaluate agents is incredibly valuable. Rigorously measuring performance and not relying on anecdotal checks allows us to rapidly improve agent capabilities.

[Gwyneth Peña-Siguenza @madebygps]

Microsoft just open-sourced Azure Skills, a set of Azure-specific capabilities that help coding agents deploy, diagnose, monitor, and manage cloud resources. I have been using them a bunch and put together this field manual :)

Azure Skills: https://t.co/Pd4hxI37Fs

[Microsoft Learn @MicrosoftLearn]

We’re introducing a new GitHub Certified: Agentic AI Developer (GH-600).
As AI agents become part of modern development workflows, this role-based certification focuses on how developers and teams operate, supervise, and integrate agents across the SDLC.

If you’re already working with tools like GitHub Copilot or exploring agent-driven workflows, we’d love your input.

Learn more and get involved. https://t.co/ruiYtlsYnj

[Microsoft Learn @MicrosoftLearn]

If you've been curious about building with AI agents but don't know where to begin, the Agents hub gives you the resources, tools, and concepts that matter most to get started.

Explore the Agents hub today: https://t.co/pLlJOEF0gK

[OpenAI @OpenAI]

Today we’re launching the OpenAI Deployment Company to help businesses build and deploy AI.

It's majority-owned and controlled by OpenAI. It brings together 19 leading investment firms, consultancies, and system integrators to help organizations deploy frontier AI to production for business impact. https://t.co/GnyjGFaLLA

[Priyanka Vergadia @pvergadia]

Palantir's end-to-end Agentic AI Architecture!

[เฉียนเฉี่ยน @zsar14940693]

ข้อห้ามทุกอย่าง มีที่มาที่ไป มีเหตุผลเพื่อความปลอดภัยของเราเอง

แล้วข้อห้ามนำของเหลวเกิน 100 ml.ขึ้นเครื่องบินคืออะไร คลิปนี้มีคำตอบค่ะ 👍

[Satya Nadella @satyanadella]

Every firm will need to reconceptualize work as they build agentic systems.

As AI and agents take on more of the execution, the opportunity is to expand human agency and redesign how work gets done.

An in-depth look from the team at what this shift means and key considerations for every business: https://t.co/zi6Ak8ZKeJ

[Rohit Ghumare @ghumare64]

Learn DevOps by playing games 🎮

1. Kubernetes
https://t.co/6Xz5Bb3ugA

2. DevOps
https://t.co/JzrPfmPrWs

2. Linux
https://t.co/hT6Xkaa7D8

3. Git
https://t.co/Ay4nXTApkm

4. Python
https://t.co/mGAMKY2dWp

5. 25+ programming languages
https://t.co/TI3vAufdjO

[Singapore Airlines @SingaporeAir]

We’re enhancing our complimentary in flight Wi-Fi offering across all cabin classes on our Airbus A350-900 long-haul and ultra-long-range fleet and A380 aircraft from 2027.

@Starlink, the fastest Wi-Fi in the sky, will provide multi-gigabit connectivity on board. Soon, you can stream, game, and send large files just like on the ground.

Find out more: https://t.co/60gHbaY5YT

[Vivek Galatage @vivekgalatage]

Algorithms by Jeff Erickson - one of the best algorithm books out there.

The illustrations make complex concepts surprisingly easy to follow. Highly recommend this.

https://t.co/8G06RjGnMA