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As AI reshapes work, Microsoft and UW expand partnership for training, research — and a looming jobs gap

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Jared Nakahara (left), co-founder of life sciences startup Levity and a postdoctoral scholar at the University of Washington, demonstrates an acoustic limitation system designed to manipulate small liquid droplets using sound waves as Microsoft President Brad Smith looks on. (GeekWire Photos / Taylor Soper)

The University of Washington and Microsoft are deepening their partnership with a new effort aimed at preparing Washington state residents for an AI-driven economy.

UW President Robert J. Jones and Microsoft President Brad Smith announced the expanded collaboration Tuesday during an event at the UW’s Paul G. Allen School of Computer Science & Engineering. The initiative is designed to increase the UW’s access to advanced AI computing, broaden internship and applied research opportunities, and develop community AI literacy programs.

“The first age of computing is over. A new age of computing has begun,” Smith said. “We need to create the foundation for economic success for this state, and so much of that will involve the University of Washington.”

The expansion builds on decades of support for UW from Microsoft, including a total of about $165 million in scholarships and investments. Asked how to quantify the announcement beyond building on past collaborations, Smith said Microsoft is “putting many millions of dollars of additional compute at the disposal of the students and faculty,” through a mix of donated and discounted resources.

The announcement comes amid two notable trends.

The Partnership for Learning forecasts about 1.5 million projected job openings by 2032 in Washington state — 640,000 new jobs and 910,000 openings tied to retirements. Up to 75% of those roles are expected to require education or training beyond high school, and the group estimates Washington state could fall short by nearly 600,000 credentialed workers over the decade if current trends continue.

Jones called it a pivotal moment. “We must invest in AI readiness for our students, for the workforce, and for the entire state,” he said.

Jones, who became the UW’s 34th president in August, said only about 40% of Washington high school graduates complete a higher education credential within seven years. “We have a real problem here that needs to be addressed … it really does pose a serious threat to the economic vitality of the state of Washington by not having the workforce with the skills and the training and the education that’s going to add to the prosperity of the state.”

From left: Magdalena Balazinska, director of the Paul G. Allen School of Computer Science & Engineering, with Microsoft President Brad Smith and University of Washington President Robert Jones.

Then there is the AI boom and the uneasy question about the future of work.

The World Economic Forum last year reported that 40% of employers anticipate reducing their workforce where AI can automate tasks. Anthropic CEO Dario Amodei last month said AI will lead to an “unusually painful” short-term transition in the labor market compared to past technologies.

Jones acknowledged that AI will inevitably transition some jobs, but stressed that it will also make many roles more effective and create new kinds of opportunities, including for people who may not pursue a traditional college degree.

He said universities like the UW, through partnerships with companies such as Microsoft, can help workers and students navigate this uncertainty and help them build new skills.

“We can’t just bury our heads in the sand and say woe [is] me,” Jones said. “We’ve got to be able to embrace it and look at how AI can enhance our ability to better serve people wherever they are in life, and to prepare for jobs that don’t even exist today.”

Smith described AI as “the latest wave of technology that will change work,” saying it will displace some jobs and create many new ones. “It doesn’t mean we should worry less about what can go wrong,” he said. “But we have to start focusing more on how to help things go right.”

He added: “The biggest problem right now with the conversation about AI and jobs is that it’s woefully incomplete. People — especially some folks in the tech sector — are spending all of their time talking exclusively about what AI might be able to do better than people. But they are spending none of their time talking about what AI might help people do better than the things they can do today.”

(University of Washington Photo / Mark Stone)

The partnership is also being framed as a public-private playbook for keeping the region competitive — and as a reminder to state lawmakers about the connection between higher education funding and workforce consequences. In a press release, Smith urged policymakers to avoid cuts to “core state funding” that could make college less accessible. The Legislature is currently debating how to balance the state’s budget.

Jones said about 71% of in‑state UW students already graduate debt‑free, and he wants to push that to 75% or 80% with help from partners and policymakers.

Here’s everything included in the expanded partnership:

  • More advanced computing access for faculty, researchers and students for AI training, experimentation, research and instruction, with Microsoft donating Azure cloud computing credits to help accelerate development of a UW research cloud platform.
  • A new effort to connect UW faculty, visiting professors and students with “real-world research opportunities” at Microsoft via a research marketplace supported by Microsoft’s AI for Good Lab, plus 10 additional graduate student-researcher slots per year (eight through Microsoft Research and two through the AI for Good Lab).
  • New work aimed at undergraduate students focused on ethical judgment, digital citizenship and shaping how emerging technologies serve communities and democracy.
  • Collaboration with UW Continuum College — which serves more than 50,000 learners annually across about 400 programs — to develop programming intended to help Washingtonians navigate AI-related workforce transitions, including courses and learning pathways focused on “career resilience” and shifting job demands.
  • A new collaboration launching this fall on Microsoft’s Redmond campus, described as an effort to “reimagine” how universities and industry work together. UW and Microsoft said it will include co-developing select courses and learning experiences for Microsoft employees dealing with AI-driven change, while enabling UW students to learn alongside industry professionals as part of their academic experience. The organizations said additional details will come later this year.

Smith said he would “love to see” the research marketplace and internships create “opportunities for 1,000 more people” over the next year.

For Jones, the announcement fits into a broader agenda that includes creating “radical collaborations” with businesses and communities. He said UW is “blessed by proximity” to companies like Microsoft and sits “at the core of one of the most innovative cities in the world.”

“This is not just some pipe dream,” he said. “This is a strategic vision that’s absolutely necessary for us to help move this city, this state, and I would say the whole region — because the UW in partnership with companies like Microsoft really shapes the whole region, and in many ways influences the whole nation, if not the world.”

Speaking from a building named after Microsoft’s co-founder, Smith pointed to a continuation of a long Seattle tech lineage. “Microsoft was first founded as a company in Albuquerque, New Mexico — but it was born on this campus,” he said, alluding to Bill Gates and Paul Allen tinkering with university computers as high schoolers — a key step in the journey that led them to launch Microsoft.

Last year Microsoft unveiled Microsoft Elevate Washington, a new initiative that will provide free access to AI-powered software and training for all 295 public school districts and 34 community and technical colleges across Washington state. The program is part of Microsoft Elevate, the company’s broader $4 billion, five-year commitment to support schools and nonprofits with AI tools and training that was announced in July.

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Devs Diss Visual Studio's AI

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In a social media feedback thread started by Microsoft Visual Studio guru Mads Kristensen, multiple developers unloaded on the IDE's facility with AI provided by GitHub Copilot and other tools.
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New Azure Open AI models bring fast, expressive, and real‑time AI experiences in Microsoft Foundry

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Modern AI applications, whether voice‑first experiences or building large software systems, rarely fit into a single prompt. Real work unfolds over time: maintaining context, following instructions, invoking tools, and adapting as requirements evolve. When these foundations break down through latency spikes, instruction drift, or unreliable tool calls, both user conversations and developer workflows are impacted.

OpenAI’s latest models address this shared challenge by prioritizing continuity and reliability across real‑time interaction and long‑running engineering tasks. Starting today, GPT-Realtime-1.5, GPT-Audio-1.5, and GPT-5.3-Codex are rolling out into Microsoft Foundry. Together, these models reflect the growing needs of the modern developer and push the needle from short, stateless interactions toward AI systems that can reason, act, and collaborate over time.

GPT-5.3-Codex at a glance

GPT‑5.3‑Codex brings together advanced coding capability with broader reasoning and professional problem solving in a single model built for real engineering work. It unifies the frontier coding performance of GPT-5.2-Codex with the reasoning and professional knowledge capabilities of GPT5.2 in one system. This shifts the experience from optimizing isolated outputs to supporting longer running development efforts; where repositories are large, changes span multiple steps, and requirements aren’t always fully specified at the start.

What’s improved

  • Model experiences 25% faster execution time, according to Open AI, than its predecessors so developers can accelerate development of new applications.
  • Built for long-running tasks that involve research, tool use, and complex, multi‑step execution while maintaining context.
  • Midtask steerability and frequent updates allow developers to redirect and collaborate with the model as it works without losing context.
  • Stronger computer-use capabilities allow developers to execute across the full spectrum of technical work.

Common use cases

Developers and teams can apply GPT‑5.3‑Codex across a wide range of scenarios, including:

  • Refactoring and modernizing large or legacy applications
  • Performing multi‑step migrations or upgrades
  • Running agentic developer workflows that span analysis, implementation, testing, and remediation
  • Automating code reviews, test generation, and defect detection
  • Supporting development in security‑sensitive or regulated environments

Pricing

Model

Input Price/1M Tokens

Cached Input Price/1M Tokens

Output Price/1M Tokens

GPT-5.3-Codex

$1.75

$0.175

$14.00

GPT-Realtime-1.5 and GPT-Audio-1.5 at a glance

The models deliver measurable gains in reasoning and speech understanding for real‑time voice interactions on Microsoft Foundry. In OpenAI’s evaluations, it shows a +5% lift on Big Bench Audio (reasoning), a +10.23% improvement in alphanumeric transcription, and a +7% gain in instruction following, while maintaining low‑latency performance. Key improvements include:

What's improved

  • More natural‑sounding speech: Audio output is smoother and more conversational, with improved pacing and prosody.
  • Higher audio quality: Clearer, more consistent audio output across supported voices.
  • Improved instruction following: Better alignment with developer‑provided system and user instructions during live interactions.
  • Function calling support: Enables structured, tool‑driven interactions within real‑time audio flows.

Common use cases

Developers are using GPT-Realtime-1.5 and GPT-Audio-1.5 for scenarios where low‑latency voice interaction is essential, including:

  • Conversational voice agents for customer support or internal help desks
  • Voice‑enabled assistants embedded in applications or devices
  • Live voice interfaces for kiosks, demos, and interactive experiences
  • Hands‑free workflows where audio input and output replace keyboard interaction

Pricing

Model

Text

Audio

Image

Input

Cached Input

Output

Input

Cached Input

Output

Input

Cached Input

Output

GPT-Realtime-1.5

$4.00 

$0.04 

$16.0 

$32.0 

$0.40 

$64.00 

$4.00 

$0.04 

$16.0 

GPT-Audio-1.5

$2.50 

n/a 

$10.0 

$32.00 

n/a 

$64.00 

$2.50 

n/a 

$10.0 

Getting started in Microsoft Foundry

Start building in Microsoft Foundry, evaluate performance, and explore Azure Open AI models today. Foundry brings evaluation, deployment, and governance into a single workflow, helping teams progress from experiments to scalable applications while maintaining security and operational controls.

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OneDrive Sync Up Episode 22: File Archive with Trent Green

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If you've been using site archive to manage cold data, you know the value of moving inactive content to cheaper storage. But sometimes you don't want to archive an entire site — you just need to archive specific files that haven't been touched in years. That's exactly what file archive lets you do. On this month's episode of Sync Up, Trent gave us a live demo showing how simple the experience is: Select your files, click archive, done. He also walked through the 7-day instant undo window (in case you archive something by accident) and shared how file archive can improve your Copilot experience too!

File archive is coming to public preview in March 2026 for SharePoint sites. Admin-driven archive policies are on the roadmap for later this year.

Listen & Watch

Catch this episode on your favorite platform:

You can learn more at Overview of Microsoft 365 Archive.

 

Got questions or topic ideas? Email us at syncupquestions@microsoft.com

Now go hit play and let us know what you think!

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Flutter & Dart’s 2026 roadmap

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Transparency is a core goal of the Flutter open source project, and today we’re happy to share our roadmap for the next generation of apps. Our mission remains largely unchanged, we’re still working toward our long-term goal of creating the most popular, fastest growing, and highest-productivity multi-platform UI framework. You can check out the freshly updated roadmap on GitHub for all the details, and in this post we will cover the themes driving our mission.

As you dive into our plans for the year, keep in mind that this roadmap is — as it’s always been — our aspirational strategy for what’s ahead. As with any other roadmap, plans tend to shift and adapt throughout the year, so don’t be surprised if some changes happen along the way. While it primarily reflects the work our teams at Google are focusing on, the truth is that the Flutterverse is now so much bigger than any one company.

High-fidelity multiplatform: Impeller, Wasm, and beyond

Our driving mission is to continue to deliver the best multiplatform stack by focusing on native-level quality and performance. In 2026, we are completing the migration to the Impeller renderer on Android. By finally removing the legacy Skia backend on Android 10 and above, we’re ensuring smooth animations and reducing jank for every user. We continue to see Impeller as the best solution for fast startup and consistent performance.

On the web, we intend for WebAssembly (Wasm) to become the default to deliver native-quality experiences and performance. We are also committed to deep platform integration, ensuring day-zero support for Android 17 and upcoming iOS releases, alongside multi-window support for desktop where our partners at Canonical continue to make progress.

GenUI, ephemeral experiences and agentic apps

We are fundamentally changing app architecture to enable agentive UIs — interfaces that aren’t just pre-built, but adapt in real-time to user intent. This is powered by the Flutter GenUI SDK and the A2UI protocol, enabling AI models to generate rich experiences dynamically.

To support this, we are investigating evolving the Dart language by adding support for interpreted bytecode in the Dart runtime. This enables “ephemeral” code delivery, where specific portions of an app can be loaded on demand without requiring a full app store update — a critical technical step for truly agentic apps.

Full-stack Dart: Bring your tooling everywhere

We are broadening our stack to support the evolution towards full-stack and agentive apps. A major focus is Dart Cloud Functions for Firebase, providing ~10ms cold starts to ensure high-performance backend logic. We are also investigating Dart support for the Google Cloud SDK to enable you to easily connect and build your backend on Google Cloud. Additionally, we are working with the Genkit team on enabling Dart support to help you build sophisticated AI features.

AI-reimagined developer experience

AI coding agents are disrupting the way apps are built. We’ll continue to collaborate within Google to ensure Dart and Flutter have top-tier support in Gemini CLI and Antigravity, ensuring core workflows like stateful hot reload work seamlessly with AI agents.

We are also investing in MCP (Model Context Protocol) servers for Dart tooling, enabling AI agents to perform complex refactors and choose secure, performant libraries with high accuracy by “talking” directly to the Dart analyzer.

Sustainable open-source & governance

To unlock Flutter’s full potential, we are moving towards an open and sustainable operating model. This includes decoupling the Material and Cupertino design systems into standalone packages to accelerate development and allow them to evolve independently. We are also improving the extensibility of the Flutter Engine so support for new platforms can be authored “out-of-tree.”

We are deepening our commitment to the ecosystem by formalizing how we collaborate with stakeholders. Central to this is the expansion of our Consultancy Program, Insiders and Google Developer Expert (GDE) network, Customer Advisory Board (CAB), and Partners Advisory Board (PAB), which provide direct feedback to our teams.

Modern syntax & compiled performance

Dart continues to evolve as a high-performance language. In 2026, we plan to ship Primary Constructors to streamline class declarations and Augmentations to simplify code generation. We will continue to focus on improving build_runner and Dart/Wasm compilation, while refactoring the analyzer to improve performance for large-scale applications.

Bringing developers to Flutter and Dart

Our recently completed new Dart and Flutter learning pathway provides a streamlined, guided onboarding path for new builders. In 2026, we plan to continue our outreach both in-person and across digital platforms to improve the experience for developers and their AI tools.

See you at Google Cloud Next & I/O!

While this roadmap is our plan for the year, you won’t have to wait long to see the next big things from the team. Mark your calendars for Google Cloud Next 2026 in Las Vegas (April 22–24) and Google I/O 2026 (May 19–20). These will be the best moments to see Flutter in action next!

With non-Google contributors now outnumbering those of us employed by Google, there is an incredible amount of exciting work happening that isn’t even captured on this list! Accurate forecasting is always a challenge in an open source project, so please take this as a sincere statement of our intent and priorities rather than a fixed guarantee. We are unbelievably excited to keep building the future of apps alongside all of you and can’t wait to see what you’ll build!

What are you most excited for? Let us know on socials with the hashtag #Flutter2026. And if you’re excited about hearing more from us, be sure to follow us on X, check out the repos on GitHub, and keep an eye on this blog for the latest updates. Let’s build the future of apps together! 🚀


Flutter & Dart’s 2026 roadmap was originally published in Flutter on Medium, where people are continuing the conversation by highlighting and responding to this story.

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Why Service Endpoint Policies Only Work for Azure Storage (And Why Everyone Gets Confused About This)

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Let me tell you about a moment that happens to almost everyone working with Azure networking. You're designing a network, you discover service endpoints, and you think "Great! This keeps my traffic on Microsoft's backbone instead of the public internet." You enable them for Storage, SQL, maybe Key Vault. Everything makes sense. Then you stumble across service endpoint policies  and think "Oh cool, I can add more control to all these services!" You start setting them up for SQL Database and......

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