Scale AI and Data 2026 on TLDRecap ⏮️

Bridging the Intent Gap in Agentic Systems | Anoop Deoras from AWS (Live)

Tue, 23 Jun 2026 11:59:28 -0700

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Anoop Deoras

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Scale AI and Data 2026

Bridging the Intent Gap: Building Trustworthy AI Agents 🚀

Ever built an AI agent, tested it meticulously on your laptop, only to see it do something completely unexpected in production? You’re not alone! This common frustration stems from a fundamental challenge: the intent gap. Today, we’re diving deep into what this gap is and, more importantly, how we can effectively close it to build reliable and trustworthy AI agents.

Fireside Chat with Boris Cherny, Head of Claude Code

Fri, 19 Jun 2026 09:45:14 -0700

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Scale AI and Data 2026

The AI Co-Pilot Revolution: Coding, Collaboration, and the Future of Engineering 🚀

We’re living through a seismic shift in the tech industry, and the way we write and think about code is changing at an unprecedented pace. In a recent fireside chat, Jesse Chen, Director of Product on the Dev Infra team at Meta, sat down with Boris Cherny, Head of Cloud Code, to dive deep into this transformation. From AI writing 100% of code to the rise of “loops” and the future of collaboration, this conversation offered a fascinating glimpse into what’s next.

Live Panel: Agentic Autonomy and Evolution of Software & Research

Fri, 19 Jun 2026 09:45:11 -0700

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Scale AI and Data 2026

The Agentic Autonomy Revolution: Orchestrating the Future of Work and Creativity 🚀

The world of AI is rapidly evolving, and at its forefront is the concept of agentic autonomy. This isn’t just about chatbots anymore; it’s about intelligent systems that can understand, strategize, and act. From accelerating individual tasks to orchestrating complex multi-agent systems, we’re witnessing a paradigm shift. This post dives into the fascinating discussions from a recent panel, exploring the different levels of agent autonomy, the challenges they present, and the incredible potential they unlock.

Live Q&A

Fri, 19 Jun 2026 09:31:48 -0700

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Scale AI and Data 2026

Navigating the Frontier: Exciting Challenges and Opportunities in Agent Infrastructure 🚀

The world of AI agents is evolving at an astonishing pace, and with it come a wave of complex challenges and thrilling opportunities. In a recent Q&A session, leading minds in the field – Anoop Deoras, Ilia Shumailov, and Komal Mangtani – dived deep into the heart of agent infrastructure, discussing everything from long-horizon tasks to the ever-present specter of security.

Why Have We Not Solved Security of Agents? | Ilia Shumailov

Fri, 19 Jun 2026 09:13:12 -0700

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Ilia Shumailov

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Scale AI and Data 2026

AI Agents: Are We Doomed, or Is There Hope for Security? 🤖🔒

The world of Artificial Intelligence is evolving at lightning speed, and with it comes a new frontier of security challenges. While we’ve spent decades building robust security for traditional software, AI agents seem to be a different beast altogether. Ilia Shumailov, a seasoned AI security expert, dives deep into why our established security principles are struggling to keep pace and what the future might hold.

How Meta Scaled AI Training Storage via Data Normalization | Sarang Masti and Weiran Liu from Meta

Fri, 19 Jun 2026 09:12:52 -0700

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Scale AI and Data 2026

Unlocking Exabytes: How Meta Reimagined Training Data Storage for Next-Gen Recommender Systems 🚀

The world of recommender systems is hungry. Not just for better algorithms, but for data. Massive amounts of it. We’re talking exabytes – that’s a 1 followed by 18 zeros! At Meta, this insatiable appetite for training data has driven a monumental effort to scale their storage infrastructure. But as new data paradigms emerge, like the rich and complex “user sequences,” the old solutions simply buckle under the pressure.

Architecting Infrastructure for the AI Native Future: Scaling Autonomous Agents on Google TPUs

Fri, 19 Jun 2026 09:12:49 -0700

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Sabastian Mugazambi

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Scale AI and Data 2026

Architecting Infrastructure for the AI-Native Future: Scaling Autonomous Agents with Google’s TPUs 🚀

The AI landscape is evolving at lightning speed, and at the forefront of this revolution are AI agents. These aren’t just sophisticated algorithms; they’re autonomous entities capable of continuous, real-time operation. This shift brings unprecedented demands on AI infrastructure, moving the bottleneck from algorithmic design to a crucial interplay between algorithms and the underlying hardware. Today, we’re diving deep into how Google’s Tensor Processing Units (TPUs) are architected to power the next generation of autonomous AI agents.

Data Governance in the World of Agents | Komal Mangtani from Meta

Fri, 19 Jun 2026 09:12:46 -0700

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Komal Mangtani

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Scale AI and Data 2026

Navigating the Wild West of AI Agents: A Deep Dive into Data Governance 🚀

The AI revolution is here, and enterprises are racing to adopt it. We’re seeing an impressive 80% of enterprises embracing AI, but a stark reality check follows: only 21% have a mature governance model in place. This gap, as Komal Mangtani, Head of AI and Data Governance at Meta, warns, could lead to a “great AI rollback,” with a staggering 40% of enterprises potentially demoting their enterprise agents after a governance failure. Governance isn’t an afterthought; it’s the bedrock for safe and effective AI deployment.

Agentic Data at Scale: Transforming Data Experiences at Meta | Dinkar Pataballa from Meta

Fri, 19 Jun 2026 09:12:43 -0700

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Dinkar Pataballa

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Scale AI and Data 2026

Meta’s Data Revolution: Wiping Dashboards and Embracing the Agent Era 🚀

Hold onto your hats, data enthusiasts! We’re witnessing a seismic shift in how businesses interact with their information, and Meta is leading the charge. Forget those endless dashboards and complex queries; the future of data is conversational, intuitive, and powered by intelligent agents. In this post, we’ll dive deep into Meta’s groundbreaking approach, exploring how they’re not just democratizing data access but also tackling the paramount challenge of trust in an AI-driven world.

Keynote at AI & Data | Barak Yagour from Meta

Fri, 19 Jun 2026 09:12:39 -0700

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Barak Yagour

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Scale AI and Data 2026

The Agentic Revolution: How AI is Reshaping Our Digital Universe 🚀

The world of technology is moving at a breakneck pace, and this year’s At Scale Conference is a testament to that. We’re not just talking about building systems at planet scale anymore; we’re witnessing a true revolution fueled by AI, transforming what was unimaginable just a year ago into our daily reality. Get ready to dive into the astonishing evolution of AI and data, and how it’s paving the way for unprecedented innovation! ✨

Observability: Role of Evals, Benchmarks & Data in Frontier AI | Alex Ratner from Snorkel AI

Fri, 19 Jun 2026 09:12:29 -0700

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Alex Ratner

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Scale AI and Data 2026

Closing the Generative AI Evaluation Gap: Building Better Benchmarks with Smarter Data 🚀

Hey everyone! Alex Ratner here, co-founder and CEO at Snorkel. We’re a frontier lab dedicated to building datasets and environments for evaluating, tuning, and training AI. Today, we’re diving deep into a crucial challenge in the world of generative AI: closing the evaluation gap. This is absolutely central to improving how we observe and understand AI agents.

@Scale: AI & Data

Wed, 17 Jun 2026 17:21:36 -0700

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Meta’s Engineering and Infrastructure teams

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Scale AI and Data 2026

AI at Scale 2026: The Agentic Revolution is Here! 🚀

The world of AI and data is evolving at lightning speed, and the AI and Data at Scale 2026 conference, hosted by Meta’s Engineering and Infrastructure teams, was a testament to this rapid transformation. From planet-scale systems to the dawn of agentic autonomy, this event offered a profound glimpse into the future of technology.

The Future of AI Infrastructure & Data Systems | @Scale 2026

Thu, 14 May 2026 16:13:17 -0700

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Scale AI and Data 2026

Unlocking AI for Everyone: The Grand Challenge 🌍✨

The dream of Artificial Intelligence isn’t just for tech giants or exclusive labs. It’s a vision for everyone, regardless of their location or economic standing. But how do we truly make AI accessible to all? This is the grand challenge that engineers and leaders at Meta, alongside the broader engineering community, are grappling with. It’s a journey that demands our collective effort and offers immense rewards.