As #AIAgents take on more coding tasks, the question arises: What's left for people? The answer might be in how we align people, machines, and markets to achieve big goals. It's about impact, collaboration, and innovation. Let's explore this together. #DAPLab #EnterpriseAI

This week, a dozen or so AI Coding Agents were released. We tried many - they're all pretty good. (Cline is a particular favorite). This open a future of agentic software that can update at the speed of business. We're excited! #EnterpriseAI

"Procedural Memory" is essential for AI Agents. If agents watch what humans do, they should be able to learn the success procedures and processes of executing tasks. This is a grand challenge for #EnterpriseAI that we work on at #DAPLab

DAPLab specializes in full-stack research for AI agents. Modern computer science research can’t afford to be siloed—enterprises need full-stack solutions. DAPLab integrates expertise in AI, systems, security, and human factors to deliver end-to-end innovation at scale.

This guy literally mapped out all the AI agents tools

BREAKING: Anthropic just figured out how to control AI personalities with a single vector. Lying, flattery, even evil behavior? Now it’s all tweakable like turning a dial. This changes everything about how we align language models. Here's everything you need to know:

Companies are still HUGELY underestimating how transformative AI will be - even in the next year. Labor markets have started to shift, and this will continue. Educators, employers, and companies need to rethink organizations in the age of AI.

All software can be cloned. There's no moat for software. But how to integrate that into your company? That's where the money is. Ideas = cheap, software=cheap. Task integration is everything. What would your enterprise's perfect email client look like? #DAPLab

Small models are here! This is big news for #EnterpriseAI - Lower cost, totally private, fine-tunable, customizable, and FAST. This is only the start...

Great use of web crawling + Agentic Coding.

A mom uses AI to make her kids' messes look like they're on the news. It worked! 😂

🚀 Excited to share that DAP Lab has 7 papers accepted at #NeurIPS2025 — covering multi-agent reasoning, LLM caching, persona risks, system tuning via LLM agents, simulation-first agent training, and RL theory 👇 🔍Check them out if you are at #NeurIPS2025! We’d love feedback,