Danielle Perszyk

Artificial Intelligence. PhD in Cognitive Science.

[Danielle Perszyk @drperszyk]

AI is reasonably good at producing answers… but less good at helping US ask better questions. This is an encouraging step in that direction - well done Dara!

[Dara @daraladje]

Everyone thinks the internet has an information problem.

I think it has an expertise problem.

🧵

[Danielle Perszyk @drperszyk]

What if we measured AI not by how smart it is, but by how much smarter it makes us? In the final episode of Season 1 of Making a Mind, I talk with MIT Media Lab’s Dr. Pat Pataranutaporn to discuss how we can design AI for human flourishing. https://t.co/Q8k1qVs827

[Resonant Computing @resonantcompute]

Tonight in NYC, technologists, builders, and thinkers gathered to ask: what would it look like if software left us feeling nourished instead of drained?

Introducing the Resonant Computing Lab — a fund dedicated to turning principle into practice.

https://t.co/E7zEjlPOaO

[Houda Nait El Barj @Houda_nait]

Last week, the AI discourse split in two.
One version dominated the headlines.
The other was harder to see, but no less important.

[Danielle Perszyk @drperszyk]

Before an AI agent can solve complex problems, it has to learn how to reason. On episode 6 of “Making a Mind,” Amazon AI researcher Meiqi Sun and I discuss how agents can shift from simple execution to ambiguous, multi-step tasks. https://t.co/yrkdkRVS1w

[Danielle Perszyk @drperszyk]

Had a great time talking with @AndrewYNg! Looking forward to sharing our conversation in Season Two of the Making a Mind podcast.

[Danielle Perszyk @drperszyk]

Episode 5 of "Making a Mind" is live! AI Researcher @anirudhchak joins me to discuss how agents learn through structured curriculums. https://t.co/rpBAtmLKFf\

[Danielle Perszyk @drperszyk]

Episode 4 of "Making a Mind" is live! @denizbirlikci  of Amazon’s AGI Lab explores how RL is transforming agents from impressive demos into dependable tools that can handle complex workflows reliably alongside humans.  https://t.co/rWRaBzxoNa

[Danielle Perszyk @drperszyk]

I really enjoyed this conversation with @davideagleman ! We talk about what makes human intelligence distinctive and why AI agents will need to not only reason about other minds, but also care about aligning them - an evolutionary optimization I call the "communicative drive."

[David Eagleman @davideagleman]

Is intelligence fundamentally a social issue? Why do infants make models of other minds? And how does this steer how we might build AI agents? Join me this week with cognitive scientist Danielle Perszyk (@drperszyk) from Amazon AGI labs.
https://t.co/VcX9TElKWT

[Danielle Perszyk @drperszyk]

Episode 3 of "Making a Mind" is live! I sat down with AI researcher Matthew Elkherj to explore one of the most underestimated challenges in building agents: perception. Tune in on YouTube here: https://t.co/rWRaBzwQXC

[Danielle Perszyk @drperszyk]

I'm looking forward to continuing to share more of these insightful conversations with anyone and everyone who is curious about the science of intelligence!  https://t.co/rWRaBzxoNa

[Amazon Science @AmazonScience]

Cognitive scientist at Amazon’s AGI Lab, @drperszyk from Amazon's AGI Lab explores the science of intelligence in "Making a Mind," a podcast featuring leading AI researchers.

Episodes 1 & 2 are now live —listen in to hear from two members of the AGI Lab technical staff, product lead, Kelsey Szot and engineer @jasonlaster11, to learn more about the evolution from LLMs to modern agents and why developing high quality training environments is as fundamental as the model itself: https://t.co/wBCbWCGNz3

[Amazon Science @AmazonScience]

How do we get AI models to think more flexibly—like humans do?" Cognitive scientist @drperszyk is at NeurIPS this week talking about the frontier of adaptive intelligence and social world models. Learn more about her team's work at Amazon's AGI Lab: https://t.co/gqryKFTm6R #NeurIPS2025

[Danielle Perszyk @drperszyk]

Thanks for the great conversation @IKrietzberg! I'm so excited by the possibilities of bringing this vision of AI agents to life, and loved getting to talk through the implications of what this tech could mean for us as a society.

[Ian Krietzberg @IKrietzberg]

I connected with Dr. Danielle Perszyk, a cognitive scientist at @amazon’s AGI Labs, to hear about the work the lab is doing, and how it aims to achieve its mission of AGI

@PuckNews

https://t.co/Jz23G6Cj8X

[Danielle Perszyk @drperszyk]

Human cooperation requires that we establish common ground in the physical world. Similarly, for agents to be useful, they need common ground with us in the digital world. We’re teaching agents to perceive UIs just like we do to build a foundation for human-agent cooperation.

[Amazon Science @AmazonScience]

Meet Amazon Nova Act — an effortless way to build AI agents that can reliably use browsers 🧑‍💻

With our new model, compose robust steps into complex workflows; handle everything from bookings to QA testing. Getting started takes just 3 lines of code.

See what Nova Act can do 🧵👇