Agentic ai

OpenAI's Greg Brockman: Why Human Attention Is the New BottleneckOpenAI's

OpenAI's Greg Brockman: Why Human Attention Is the New BottleneckOpenAI's

Greg Brockman, co-founder and president of OpenAI, discusses the company's insatiable need for compute, the state of scaling laws, and the belief that we are 80% of the way to AGI. He explores how agentic coding tools are transforming software development, the emerging role of human attention as the ultimate bottleneck, and the future of AI in pushing scientific frontiers.

Replacing 12K LoC with a 200 LoC Skill — David Gomes, Cursor

Replacing 12K LoC with a 200 LoC Skill — David Gomes, Cursor

David Gomes from Cursor explains their transition from a complex, 15,000-line Git WorkTrees feature to a lightweight, flexible solution built on Markdown prompts. He details how 'Skills' and 'Sub-agents' recreated parallel coding workflows, and discusses the trade-offs, failure modes, and lessons learned from shifting product logic from hard code to natural language instructions.

I Read 9,000 AI Papers So You Don't Have To

I Read 9,000 AI Papers So You Don't Have To

Nick Vasiloglou, VP of Research at Relational AI, analyzes the key trends from NeurIPS 2025, highlighting the most impactful and under-the-radar developments for industry professionals. The discussion covers the rise of data markets through real-time attribution, the sophisticated engineering behind capable small language models (SLMs), the explosion of AI for science, and the shift towards post-training models with real-world tools.

Everything I Learned Training Frontier Small Models — Maxime Labonne, Liquid AI

Everything I Learned Training Frontier Small Models — Maxime Labonne, Liquid AI

Maxime Labonne from Liquid AI shares a playbook for post-training frontier small models (under 1GB) for on-device deployment. The talk breaks down the LFM2.5 recipe, which includes on-policy preference alignment and agentic reinforcement learning, and addresses unique challenges at the 1B scale, such as capability interference and 'doom loops', offering concrete solutions to build efficient models for tasks like data extraction and tool use.

Building Hardware is Hard but AI Agents Help, with Kishore Subramanian

Building Hardware is Hard but AI Agents Help, with Kishore Subramanian

Kishore Subramanian, CTO of Propel Software, discusses how AI is revolutionizing physical product development. He explains how Propel's AI platform, built on Salesforce's Agentforce 360, uses agentic AI to "shift left" quality control, reviewing engineering changes to prevent costly downstream errors in hardware, high-tech, and med-tech manufacturing. The conversation also covers best practices for deploying enterprise-grade AI agents and the surprising benefits of yoga and meditation for creative problem-solving in tech.

Apple’s new CEO & how AI understands intent

Apple’s new CEO & how AI understands intent

Experts analyze Apple's AI future under new hardware-focused CEO John Ternus, the strategic implications of Anthropic's deep partnership with AWS for custom AI chips, the evolving landscape of customer intent in an era of AI agents, and the ironic security leak of the powerful Claude Mythos model.