Welcome everyone. Uh my name is Mason Edgar. I work at Temporal and today we're going to talk about uh events are the wrong abstraction for your AI agents.So uh who here raise of hands recognizes what this diagram is out of curiosity. Okay. So this is a map of our solar system um in a geocentric projection. Uh this is where we have earth as the center of our solar system and this is how celestial objects move around the earth.And this was used to kind of calculate uh celestial trajectories prior to like the ...

Finally! You can reliably test AI Agents without humans:- One Agent asks questions.- The Agent being tested responds.- Another Agent Judges.Here’s a complete breakdown (with code): https://t.co/wDm2a4zN0bAvi Chawla (@_avichawla):How Agents test Agents, clearly explained (with code): ...

Agents are all the rage in 2025, and every single b2b SaaS startup/incumbent promises AI agents that can "automate work" in some way. But how do you actually build this? The answer is two fold: 1. really really good tools 2. carefully tailored agent reasoning over these tools that range from assistant-to-automation based UXs. The main goal of this talk is to a practical overview of agent architectures that can automate real-world work, with a focus on document-centric tasks. Learn the core building blocks o ...

10 real-world projects for AI engineers that cover:- Memory- Video RAG- Voice Agent- Corrective RAG- and much more!Find them in the explainer thread below. https://t.co/RucVrx4Xt0Avi Chawla (@_avichawla):AI Engineering Hub is about to cross 10k GitHub stars!It’s 100% open-source and hosts 70+ free hands-on demos.Here are 10 MCP, RAG, and AI Agents projects for AI engineers: https://t.co/Zxe2K6DEKg ...

Cheetah Mobile (CMCM) Q1 2025 Earnings Call June 19, 2025 08:00 AM ET Speaker0 Good day, and welcome to the Cheetah Mobile First Quarter twenty twenty five Earnings Conference Call. All participants will be in a listen only mode. Please note this event is being recorded. I would now like to turn the conference over to Ms. Helen Jing Xu, Investor Relations of Cheetah Mobile. Please go ahead. Speaker1 Thank you, operator. Welcome to Cheetah Mobile's fourth quarter twenty twenty five earnings conference call. ...

Core Idea - Factory believes software development is transitioning to agent-driven from human-driven [1] - To achieve significant productivity gains (5-20x), a shift from collaborating with AI to delegating tasks entirely to AI is needed [3] - Factory is building a platform for managing and scaling AI agents, integrating various engineering systems [3][4][5] Agentic System Characteristics - Agentic systems require planning to decide future actions [11] - Decision-making is crucial for agents to make calls based on the existing state [13][14] - Environmental grounding is necessary for agents to interact with and adapt to the external environment [14] Human-AI Collaboration - Humans will remain in software development, focusing on the outer loop (reasoning, requirements) [15][16] - Agents will handle the inner loop (coding, testing, code review) [17] - AI UX should blend delegation with control for situations where agents cannot complete tasks [17] Agent Reliability - Clear planning and boundaries are essential for reliable agents [32] - Subtask decomposition, model predictive control, and explicit plan templating can improve planning [19][20] - Control over the tools agents use is the most important differentiator in agent reliability [28] Environmental Interaction - New AI computer interfaces are needed for agents to interact with the world [28] - Processing information from the environment is crucial for complex systems [29][30] - Agents need to ground themselves in the environment to perform full software development work [32] Call to Action - Factory encourages teams not delegating at least 50% of engineering tasks to AI agents to engage with them [34]

With the rise of MCP servers, A2A, and our trusty friend, OpenAPI, it turns out the web browser may be the default MCP server for the rest of the internet. In this talk, we'll walk through how a web browsing tool is probably the only tool you'll need to enable production AI Agents. About Paul Klein IV Paul Klein IV is a San‑Francisco‑based serial entrepreneur and engineer. After honing his chops at Twilio during it's IPO and founding Stream Club—a live‑streaming platform acquired by Mux in 2021 he launched ...

[Music] Bringing a life-saving drug to market requires analyzing massive amounts of complex data. The pharmaceutical industry needs a faster, more automated way to extract meaning and act on it. Ivia is using Agentic AI to do exactly that.Training AI agents to navigate more than a million data streams for clinical, medical, and commercial professionals. Its healthcare grade AI platform combines a growing set of AI agents, each designed to streamline how insights turn into action. Built with NVIDIA Neotron m ...

It's a nice way to to think about it from idea to IPO. But you know like that's the history of Silicon Valley, right. That's what every founders sets out to do.Among those 11, what are you most proud of. What was the sort of steepest arc, would you say. It's great to be here.You know, we've at notable really built our business around focusing on the founder. And I think the primary lesson we've learned from the successes we've had is that if we serve founders really well, if we provide them with a unique ex ...

All right. Hello everyone. Uh, thanks for being here and joining us on this nice Wednesday afternoon.Uh, my name is Matasanis and this is my colleague. Hey folks, I'm Sorup Sherhhati. And today we're going to present how we built AI developer tools at Uber uh, using Langraph.So to start off, a little bit of context. Um Uber is a massive company serving 33 million trips a day across 15,000 cities. And this is enabled enabled by a massive code base with hundreds of millions of lines of code.And it is our job ...