Our newest paper in Nature Machine Intelligence, by Angelina Wang, Jamie Morgenstern, and John Dickerson: LLMs are replacing human participants, but can they simulate diverse respondents? 📝 Read the full paper here: https://rdcu.be/eabf1 🎥 Watch Angelina’s talk about the paper from Arthur’s AI Fest: https://lnkd.in/eqjsEQsn
Arthur
Software Development
New York, New York 7,451 followers
The AI Performance Company
About us
The AI Performance Company. We work with enterprise teams to monitor, measure, and improve machine learning models for better results across accuracy, explainability, and fairness. We are deeply passionate about building technology to make AI work for everyone. Arthur is an equal opportunity employer and we believe strongly in "front-end ethics": building a sustainable company and industry where strong performance and a positive human impact are inextricably linked. We're hiring! Take a look at our open roles at arthur.ai/careers.
- Website
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https://arthur.ai/
External link for Arthur
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- New York, New York
- Type
- Privately Held
- Founded
- 2018
Locations
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Primary
Get directions
140 Crosby St
6th Floor
New York, New York 10012, US
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Get directions
1140 3rd St NE
Washington, District of Columbia, US
Employees at Arthur
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Noriaki (Nori) Tatsumi
Head of Platform Engineering at Arthur
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Greg Munves
CEO @ OpenBrand | Helping Businesses Harness Data | Passionate about Humanizing Data
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Max James
Vice President of Sales & Partnerships @ Arthur
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Alexa Finch
Marketing, Branding, Communications and Creative leader who takes pride in solving real world problems, being solutions oriented, and making things…
Updates
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🤖 + 🧑💼 = The future of enterprise AI. On Tuesday, discover the hybrid approach that keeps AI agents effective *and* accountable. Save your spot: https://bit.ly/4gTWSkx
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Our rockstar VP of Engineering Zach Fry shared his perspective on the current state of AI, his leadership philosophy, and his approach to solving hard technical problems—check out his interview with DoneStreet! 🚀
The latest interview in our Engineering Leadership Series has been published. The intelligent and insightful Zach Fry, Vice President of Engineering at Arthur, joins us to share his story from MIT Lincoln Labs, to Palantir, and now Arthur. Zach dives into his approach to leadership, where he sees the AI space evolving, and how he wants to look back on life. It's topical timing given the recent breakthroughs with LLMs and we hope you enjoy the interview as much as we did. Check it out here and give Zach Fry a follow: https://lnkd.in/gqPFyvkq
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When it comes to deploying agentic systems in the enterprise, how do you find a balance between innovation and control? ⚖️ On February 4th, John Dickerson will be answering this question and sharing a hybrid framework where human-approved workflows serve as guardrails for autonomous agents. Save your spot at the webinar: https://bit.ly/4gTWSkx
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As part of Arthur’s recent AI Fest, Work-Bench’s Daniel Chesley hosted a “Venture Perspectives: The Next Big Moves in AI” panel where Tiffany Luck, Dylan Itzikowitz, and Leah Elizabeth Morris explored the most promising trends and innovations shaping the future of artificial intelligence. 🎥 Check out the full session: https://bit.ly/3Edl6aQ
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Agents might use workflows, but workflows ≠ agents. Here, John Dickerson explains the concept of a single-agent system, of which the defining characteristic is that the LLM creates its own path forward toward accomplishing a given task. Watch the full webinar to learn more about single-agent systems, multi-agent systems, and some open source tools that can help you get started—link in comments! (h/t Weaviate for the diagram 👏)
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#ICYMI! Our Chief Scientist John Dickerson hosted an informative webinar last week where he covered: 👉 How to get started with AI agents 👉 Examples of single- and multi-agent workflows and design patterns 👉 The most promising open source tools available right now 👉 What’s next in this space and what to expect in 2025 Link to watch is in the comments below!
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We’re honored to be included in Built In’s “50 Best NYC Startups to Work For in 2025”! 🏆 Check out Arthur and the full list of honorees here: https://bit.ly/407gOJv #BPTW2025 #2025BuiltInBest
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Agents aren’t moving out of the zeitgeist any time soon—but with agentic systems going from science projects to production deployments, what does 2025 have in store? Here are a few of our predictions. 💰 Cost will matter more than ever. Agentic AI is even more expensive than traditional LLM-based applications, and companies will have to look at their wallets in 2025. For public companies, shareholders will be looking at capital expenditure, and for private companies, CEOs and CFOs will be paying close attention to spend as well. ⚙️ Systems of systems will emerge. Individual employees are already using multi-agent systems to perform tasks—but these fleets of agents don’t interact in a vacuum. In 2025, it will be crucial to understand how to orchestrate this AI-human teaming at the organizational level. 👉 Check out our latest blog post to see the rest of the predictions: https://bit.ly/3BXkaqq 🧰 Want to learn how to build a modern agentic system with open source tooling? Register for our Chief Scientist John Dickerson’s webinar on January 7th: https://bit.ly/49II8lF
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Agentic AI is still in the early stages, but it’s never too soon to gain an understanding of it. On January 7th, our Chief Scientist John Dickerson is hosting a webinar called “How to Build a Modern Agentic System.” 🧰 👉 Learn more and save your spot: https://bit.ly/49II8lF
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