In this special episode, we’re joined by Rami Luisto, AI Researcher at Digital Workforce, for a sharp and insightful conversation on the evolving world of large language models and agentic systems.

Together with Kristiina Åberg and Niko Lehtonen, we cover:

✅ OpenAI’s shift to a public benefit company

✅ Why GPT-4.0 suddenly became sycophantic, and what that tells us

✅ How enterprise teams manage LLM versioning and avoid surprises

✅ Key takeaways from recent LLM research, including “ChatGPT is Bullshit”

✅ What truly separates LLMs from agents in practice

✅ A behind-the-scenes look at using LLMs to automate complex document processing in healthcare

Rami also explains why good enterprise AI should be “boring”, stable, predictable, and built with testing in mind.

🔗 Don’t forget: this episode sets the stage for our upcoming webinar “From LLMs to AI Agents: What’s the Difference and Why It Matters” on June 3. Details on our LinkedIn channel @digitalworkforceserivces