Nov 14, 2025

GPT-5.1 and Kimi K2: What ‘Thinking AI’ really means

The experts discuss OpenAI's GPT-5.1, focusing on its shift towards conversational style and user experience over raw benchmarks. They contrast this with the release of Moonshot AI's Kimi K2 Thinking, a powerful open-source model that challenges the dominance of proprietary systems. Finally, they analyze the profound security, organizational, and cultural risks of Microsoft's plan to introduce 'agentic users' as autonomous employees in the enterprise.

Nov 06, 2025

Giga: The AI Platform for Enterprise Support

Giga co-founders Varun and Esha discuss their product-first approach to enterprise AI, detailing their innovative 'AI Forward-Deployed Engineer' model that enables rapid, scalable customer support automation. They break down how they solve complex, multi-party use cases for clients like DoorDash and share their vision for expanding beyond support to become a comprehensive ops automation platform.

Nov 06, 2025

No Priors Ep. 139 | With Snowflake CEO Sridhar Ramaswamy

Snowflake CEO Sridhar Ramaswamy discusses the company's rapid transformation into an AI-first data platform. He introduces Snowflake Intelligence, an agentic system for enterprise data, and explores the strategic pivot, the ROI of AI for businesses, and the evolving roles of data platforms, partnerships, and search in the age of AI.

Nov 05, 2025

GenAI Grows Up: Building Production-Ready Agents on the JVM • Rod Johnson • GOTO 2025

Rod Johnson explains the high failure rate of enterprise GenAI projects, attributing it to the misuse of the technology and a disconnect from established software engineering principles. He argues for a paradigm shift away from Python-centric approaches towards the JVM, introducing Embabel, a framework designed to build reliable, testable, and domain-integrated AI agents by tackling non-determinism and leveraging the strengths of the enterprise Java ecosystem.

Nov 04, 2025

ElevenLabs CEO: Why Voice is the Next AI Interface

Mati Staniszewski, CEO of ElevenLabs, discusses the company's strategy for rapidly shipping research-grade AI. He covers their organizational structure of small, autonomous teams, a global and remote-first hiring philosophy, the transition from a creator-focused product to an enterprise platform, and the lessons learned in navigating complex licensing and scaling a go-to-market team.

Oct 30, 2025

Good News For Startups: Enterprise Is Bad At AI

A viral MIT report claimed 95% of enterprise AI projects fail. This isn't because AI doesn't work, but because large companies are ill-equipped to build it. This creates a massive opportunity for startups that can deliver functional, integrated AI solutions where enterprises and established vendors fall short.