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Jaime Teevan

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by Jaime Teevan

teevan.bsky.social
If you're not yet following Ben’s research, I highly recommend checking it out!

#AIInnovators #AppliedResearch #NewFutureOfWork #LeadingLikeAScientist
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by Jaime Teevan

teevan.bsky.social
Ben and his co-authors call these constraints and preferences “standing instructions” (arxiv.org/pdf/2311.09796), enabling AI models to remember details like your preferred cuisine or budget whenever you ask for restaurant recommendations.
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by Jaime Teevan

teevan.bsky.social
Personalization is another critical area of Ben’s research. By allowing users to explicitly state their general preferences and building models around them, AI can provide personalized responses and recommendations.
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by Jaime Teevan

teevan.bsky.social
Ben’s effort to apply logical reasoning to a particularly complex field – identifying loopholes in the US federal tax code – promises to help people navigate and interpret complex documents in a wide range of domains (www.taxnotes.com/featured-ana...).
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by Jaime Teevan

teevan.bsky.social
In the workplace, addressing complex intents and reasoning often requires making sense of vast amounts of documents and business practices grounded in human interactions, individual artifacts, and evolving knowledge that changes over time.
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by Jaime Teevan

teevan.bsky.social
Additionally, his research on decomposing complex intents into smaller steps allows AI systems to handle multi-step tasks while keeping humans in the loop for reasonability checks at every decision point (arxiv.org/abs/2305.08677).
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by Jaime Teevan

teevan.bsky.social
One AI challenge is enabling systems to understand and process complex utterances expressed in NL. Ben’s work involves converting NL into machine-readable formats, which is essential for accurate automated interactions with databases, APIs, and chatbots (aclanthology.org/2024.emnlp-m...).
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by Jaime Teevan

teevan.bsky.social
Ben is a researcher at Microsoft, where he leads work on conversational AI for professionals, and is also on the faculty of Johns Hopkins University.
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by Jaime Teevan

teevan.bsky.social
How can AI move beyond simple responses and reliably address complex tasks? Meet Benjamin Van Durme (www.microsoft.com/en-us/resear...), who is pushing the boundaries of natural language tools so they can handle multi-step processes with contextual understanding.
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by Jaime Teevan

teevan.bsky.social
With Microsoft celebrating its 50th anniversary, here’s to the next 50 years of turning emails into insights and documents into dialogs!
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by Jaime Teevan

teevan.bsky.social
As we move into 2025, AI is set to transform all aspects of work, but only if we are able to build on what we already know about productivity while being open to learning. This past year taught us that there are new ways AI can drive purpose, sustain persistence, and foster collaboration.
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by Jaime Teevan

teevan.bsky.social
By leveraging AI’s strengths in planning and synthesis, this kind of uncoordinated large-scale collaboration will make it possible to harness collective intelligence, enabling groups to solve problems and create knowledge more effectively than ever before (teevan.org/publications...).
teevan.org
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by Jaime Teevan

teevan.bsky.social
But AI’s ability to process input from multiple people at scale will also disrupt collaboration in more profound ways. We already see people using Excel to extract themes from columns of text, where each row represents an idea from a different person.
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by Jaime Teevan

teevan.bsky.social
Microsoft’s decades of experience supporting collaboration, managing permissions, and facilitating sharing are proving invaluable as we integrate AI into these spaces.
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by Jaime Teevan

teevan.bsky.social
Given the importance of conversations, we're embedding AI into collaborative spaces. One of the best Copilot experiences is in Teams meetings, because AI enhances collaboration by summarizing discussion, suggesting action items, even prompting attendees to engage in more meaningful conversations.
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by Jaime Teevan

teevan.bsky.social
3) Collaborative: From working alone to thinking together.
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by Jaime Teevan

teevan.bsky.social
But the nature of knowledge artifacts is evolving. Much of the knowledge people return to is now generated through conversation (w/ people or AI) and reused not only by people but also by AI for grounding. Microsoft was a document company, but now must become a dialog company (vimeo.com/927715632).
Jaime Teevan - From Documents to Dialogues: How LLMs are Shaping the Future of Work
The future of work is changing rapidly, with knowledge increasingly embedded in conversations rather than documents. In this talk, Jaime Teevan will explore how…
vimeo.com
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by Jaime Teevan

teevan.bsky.social
Currently, most conversations with AI are ephemeral. People must reestablish context every time they return to an AI system. This is at odds with the fact that work takes place over time. Fifty years ago, Microsoft began its journey by helping people create documents to digitally persist knowledge.
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by Jaime Teevan

teevan.bsky.social
2) Persistent: From storing documents to sustaining dialogs.
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by Jaime Teevan

teevan.bsky.social
But we are learning that AI can go even further by prompting people to fully articulate their goals and explore new directions. Right now, AI simply obeys commands. Looking forward, it will also challenge people to think differently (cacm.acm.org/opinion/ai-s...).
AI Should Challenge, Not Obey – Communications of the ACM
cacm.acm.org
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by Jaime Teevan

teevan.bsky.social
People can now directly express their purpose, rather than having to translate it into computer-understandable actions. But expressing purpose is still hard to do. Decades of research show that recognition is easier than recall, and prompt support strategies are proving to be powerful tools here.
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by Jaime Teevan

teevan.bsky.social
1) Purposeful: From executing tasks to unlocking potential.
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by Jaime Teevan

teevan.bsky.social
Work has always been 1) purposeful, 2) persistent, and 3) collaborative, but AI is fundamentally redefining how computing supports these essential aspects. Let’s look at how.
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by Jaime Teevan

teevan.bsky.social
But the early glimpses we got this year of how people are starting to use Copilot suggests AI will teach us new ways to think about productivity as well. If 2024 was the year of taking what we know and applying it to how we use AI at work, 2025 can be the year of taking a fresh look at work given AI
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by Jaime Teevan

teevan.bsky.social
In 2025, Microsoft will turn 50, and the wealth of knowledge the company has built over half a century of pioneering productivity solutions will supercharge how AI helps people summarize email and write documents.
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by Jaime Teevan

teevan.bsky.social
The fact that we’re already observing significant impact is interesting because, honestly, 2024 was also the year of using AI in the most boring ways possible. Right now, people are pretty much just using AI to summarize email threads and write documents for them, if they're using it at all.
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by Jaime Teevan

teevan.bsky.social
I know there's a lot there to digest, but don't worry. In the new year I'll continue my annual tradition of walking through the slides. Consider this a sneak peak to get ahead of the game.
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Reposted by: Jaime Teevan

ylongqi.bsky.social
I am at #NeurIPS this week! We are hiring full-time applied scientists in @microsoft.com Office of Applied Research, particularly those pushing the boundaries of model finetuning. Catch me for a chat or drop by Microsoft booth!

#GenAI #Hiring #LLM #Copilot
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by Brent Hecht — Reposted by: Jaime Teevan, Brent Hecht

bhecht.bsky.social
Hello Bluesky! We're hiring amazing scientists in the productivity division at Microsoft. Come work with me, @teevan.bsky.social, and a whole legion of awesome researchers.

jobs.careers.microsoft.com/global/en/jo...
Search Jobs | Microsoft Careers
jobs.careers.microsoft.com
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by Jaime Teevan

teevan.bsky.social
And if you're not yet following Sunayana’s research, I highly recommend checking it out! #AIInnovators #AppliedResearch #NewFutureOfWork #LeadingLikeAScientist

References

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