Crunch time! ☕ Building my #MSIgnite content with a suspiciously on-theme Spotify playlist… 😉
🎙️ Live Broadcast Stage interviews
💡 AI adoption
🧪 Agent governance labs ×4
💬 Foundry AMA
Come say hello!
ignite.microsoft.com/en-US/s…
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Amy Kate Boyd retweeted
Try MAI-Transcribe-2 the fastest, cheapest and most accurate transcription model in the world!
10x faster than GPT‑Transcribe
5x faster than Gemini 3.5
$0.10 per hour of audio
Startups in SF for Ignite: don't miss this one 🚀
A stand-out lineup on agentic coding: Microsoft AI, Nous Research (Hermes Agent) & OpenRouter, moderated by Greylock's Jerry Chen.
Nov 18, 2:30 PM PT. Free, no Ignite pass needed. microsoftforstartups.eventbu… #MfSBasecamp #MSIgnite
I was today years old when I started using voice mode with GitHub Copilot in VS Code 🎙️
One week before Ignite, typing is too slow for the pace my brain is running. Picked the Junho voice to talk through notebooks and hear responses.
I am living in the future 😂
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Amy Kate Boyd retweeted
Join me at #MSIgnite in San Francisco, 17–20 Nov! 🚀
5 sessions, all about agents:
🗣️ TT1667 Agent types
🧪 LAB667 Multi-agent systems
⚡ LTG1208 Publishing agents
🗣️ TT1670 Agentic commerce
🎭 THR1015 Foundry Discord Live
Times 👉 ignite.microsoft.com
See you at #MSIgnite! 🎉
🎙️ Live Broadcast Stage interviews
💡 AI adoption
🧪 Agent governance lab ×4
💬 Foundry Discord Live & AMA
Many thanks to Pamela Fox for sharing how to create this fabulous visual! 🙌
ignite.microsoft.com/en-US/s…
Only at #GitHubUniverse does @martinwoodward get an entire stage to bring plushies to life with machine learning models 🐿️
Amy Kate Boyd retweeted
I'm back in London 🇬🇧 and trying to start making content again but feeling out of practice😂 Whats everyone working on with Agents right now?
Planning to make some videos about using decision models, building proactive agents and connecting to the Microsoft ecosystem!
Amy Kate Boyd retweeted
#GitHubUniverse is happening today!!! For anyone who can't make it IRL we've been working on an insiders virtual experience for you💜🧑🏾🚀
It includes the keynote, special guest interviews, hands on sessions and a virtual badge✨ Its not too late to join tinyurl.com/25saa8vv
#GitHubUniverse badge just went digital… and yes it runs Doom.
Customize your own, play and share it with #badger26. gh.io/virtualbadger
Sign up to join us virtually (for free) at githubuniverse.com
Good morning from #MicrosoftFrontierTour #London ☀️ Prepped behind the scenes yesterday, today we're live!
Join me: 🛠️ 12:45 Optimize agents with Microsoft Foundry & #GitHubCopilot (BRK330) 🧠 14:55 Building context-aware agents with #MicrosoftIQ (BRK240)
buff.ly/txatXlE
Amy Kate Boyd retweeted
Had so much fun getting to demo during @satyanadella’s keynote in Paris today 🇫🇷 Showed a live walkthrough of building an autopilot in Python with Foundry!
I was on the Pareto frontier of stress with this live demo, but thankfully the demo gods were in a good mood🥳
Building with #HuggingFace or #openmodels ?
Today I’m joined by Jeff Boudier, VP of Product at Hugging Face, for #ModelMondays as we get into Hugging Face + managed compute.
Bring your questions 👀
⏰ 1:30 PM ET / 6:30 PM UK
🔗 developer.microsoft.com/en-u…
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Amy Kate Boyd retweeted
With the pace of innovation in AI, how do you make sure your agents and agent platform are equipped to evolve with the state of the art? 🤔 Check out this demo below to see how Microsoft foundry gives you automatic observability, insights, and optimization for your agent fleets - so no matter if its GPT 6 or GPT 60 you can ensure you have high quality, long running agents running securely for the enterprise. Check it out! 🧑💻
Amy Kate Boyd retweeted
📝 Your Entire Agentic AI Workflow Now Inside VS Code
In this video, we run through installation, logging to Microsoft Foundry and an overview of the UI.
Amy Kate Boyd retweeted
Introducing Microsoft-Decision-1
Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models.
commandline.microsoft.com/mi…
Amy Kate Boyd retweeted
Here's the talk! Will be experimenting!!!
youtube.com/live/b-82zc3LdMM
Amy Kate Boyd retweeted
Watched a really nice talk from the @MicrosoftAI team on how they're fine-tuning models to get better at knowledge work (like using Excel.)
I think the Jev/decision model hype is pointing to specialised, efficient models/agents being the next wave. Will link the talk below
Amy Kate Boyd retweeted
We're launching the most accurate real time transcription model in the world... #1 !!!
55% faster and 60% cheaper than ElevenLabs.
Come build agents on our platform!
Microsoft AI has released MAI-Transcribe-2-Streaming, taking the #1 spot for Final Transcript accuracy and First Partial Transcript accuracy on AA-WER Streaming with 2.5% WER at 0.13s after end of speech
MAI-Transcribe-2-Streaming is @MicrosoftAI's new streaming Speech to Text model, joining the non-streaming MAI-Transcribe-2. It leads streaming Final Transcript WER at 2.5%, ahead of the previous #1, SpaceXAI's Grok Voice Transcribe 2.0 at 2.7%, and returns that transcript in 0.13s rather than 0.49s. It is available for streaming transcription at $0.54 per hour of audio, at the higher end of pricing among the leading streaming models.
Key takeaways
➤ Final Transcript: MAI-Transcribe-2-Streaming achieves 2.5% WER at 0.13s after end of speech, ranking #1 of 38 models. It is more accurate and faster than Grok Voice Transcribe 2.0 at 2.7% and 0.49s, Muse Voice Transcribe at 3.1% and 0.16s, and ElevenLabs Scribe v2 Realtime at 3.6% and 0.14s. It is also more accurate, though slightly slower, than Cartesia Ink Preview (external endpoints) at 3.1% and 0.11s
➤ First Partial Transcript: The model achieves 2.5% WER at 0.12s, ahead of Grok Voice Transcribe 2.0 at 3.4% and 0.49s, and ahead of Muse Voice Transcribe and ElevenLabs Scribe v2 Realtime on accuracy, both at 3.6%, and slightly faster than both at 0.12s versus 0.13s. It is more accurate but slower than Cartesia Ink-2 (external endpoints) at 4.0% and 0.07s
➤ Price: MAI-Transcribe-2-Streaming costs $0.54 per hour for streaming, or $9.00 per 1,000 minutes. This puts it level with Gemini 3.5 Transcribe Live at $9, above the $6.50 charged for ElevenLabs Scribe v2 Realtime and Deepgram Flux, more than twice Cartesia Ink-2 at $4, and three times Muse Voice Transcribe at $3. Non-streaming transcription costs $0.10 per hour, or $1.67 per 1,000 minutes
Congrats to the @MicrosoftAI team on the launch!
See more details below
Amy Kate Boyd retweeted
Loving the video content for building agents in Microsoft Foundry.
Special thanks to @AmyKateNicho, @nitya, @carlottacaste, and @BethanyJep! Keep it rollin' 🎥🎬🤘
youtube.com/playlist?list=PL…
🔴 Live today: #MistralAI on #ModelMondays
➡️ Mistral OCR-4.
➡️ Building AI agents with Mistral.
➡️ Microsoft Foundry.
Fewer slides about models. More show me what I can build.
I’m hosting at 1:30pm ET 👇
Join us live aka.ms/MM9.28-T
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