AI Council

IM AI GINE Performance by Pete Soderling | AI Council 2026

TextQL’s Ethan Ding: Every question has a price. Make sure the answer is worth more.

Snowflake’s Bala Kasiviswanathan: Your data doesn't need a new home. It needs context.

AI Launchpad 2026: CocoIndex

AI Launchpad 2026: Golden Analytics

AI Launchpad 2026: Pavo

AI Launchpad 2026: Mixtrain

AI Launchpad 2026: LogicStar AI

AI Launchpad 2026: Sutro

Running Millions of (Millisecond) AI Sandboxes without Breaking the Piggy Bank | Unikraft

Inference for Async Agents in Production | Doubleword

No Dropped Frames: designing a VLM around a latency budget | Moondream

Great Infra for Background Agents | Sail

Do the Boring Stuff to Make Open Source AI Win | Mozilla.ai

Agents will need trillions of databases. Let's give it to them! | Turso

From Spans to Trajectories: Observability for Long-Running Agents | HoneyHive

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Jev: ChatGPT Co-Creator’s Answer to RLHF

The Modern Data Stack Lost the War: Stop Building more DataFrame APIs | OpenAI

Recursively Self-Improving Agents as Autonomous Software Engineering | Factory

We Solved Agent Building | Vercel

Five years of OpenLineage: How we built an industry standard and why agents need it | Datadog

Data Lake CDC: Are we there yet? | ClickHouse

Build Trustworthy LLM Apps Powered by Agentic Evals | Meta

Context Engineering for Video Intelligence: Beyond Model Scale to Real-World Impact | TwelveLabs

Building the Blueprint for Scalable Data Products in Public Sector | City of San Francisco

Make Vibe Coding Safe: How to Test with Playwright | Amazon AGI Lab

How Action Bias Breaks Autonomous Software Maintenance | LogicStar.ai

What comes after Deep Learning? | Incept Labs

Making Neural Networks Smaller: Quantization and Pruning | PrismML

How we made Trail of Bits AI-Native (so far) | Trail of Bits

Agentic AI: From Risk Awareness to Practical Control | Noma Security

Enabling Highly Autonomous Trusted Agents

The Agent Attack Surface: Why AI Is Breaking Software Security As We Know It | Socket

Identity Is the Bottleneck: Why Agents Force a New Security Model | Keycard

The Open Layer: How Open Models, Routing, and Inference Are Reshaping Agentic Engineering

Trillion is the New Billion: Managing Really Large Multimodal Datasets for AI | LanceDB

From Spans to Trajectories: Observability for Long-Running Agents | HoneyHive

Pricing AI Agents | Orb

Forgiveness, Not Permission: Running Agents On Production Data | Bauplan

Context Engineering 2.0: Unifying MCP, Agentic RAG, and Memory | Redis

Context Engineering at the Frontier | Thrive Capital

Welcome to Our Data Benchmark, Where Everything's Made Up and the Points Don't Matter

Agents Are Eating the Semantic Layer | Zenlytic

Building Durable, Long-Running Autonomous Agents | RedScope AI

From Prediction to Uplift: Causal Modeling for Better Decisions | Intuit

5 Lessons from the Classroom for Evaluating Agents | Dev Interrupted

AI Attribution: Measuring What AI Actually Did | Shopify

What Happens to BI in an AI-First World? | Evidence

Optimizing Model Training End-to-End: A Tiny MoE Case Study Lambda

Lessons From RL Systems That Looked Fine Until They Didn't | Aethon