MLOps is NOT Real

MLOps is NOT Real

Up next

The Myth of Model Wars: Open vs Closed AI in 2026

In this fully connected episode, Dan and Chris break down one of the biggest questions in AI today: do open vs. closed models still matter? From the rise of physical AI and edge devices to the shifting landscape of open-source models like LLaMA, they explore whether the “model wa ...  Show more

The mythos of Mythos and Allbirds takes flight to the neocloud

In this Fully-Connected episode, Dan and Chris start with Anthropic's Mythos frontier model, parsing what is publicly known about its cybersecurity capabilities and projecting its possible implications from "We've been here before. 🙄" to "See ya, cybersecurity! 😱" It's the end ...  Show more

Recommended Episodes

MLOps in Go
Go Time: Golang, Software Engineering

MLOps is an increasingly popular topic that is no longer just a subset of DevOps. Go is a great choice for infrastructure. What role does Go play in MLOps? Discuss on Changelog News Changelog++ members save 4 minutes on this episode because they made the ads disappear. Join today ...  Show more

Quick, beautiful web UIs for ML apps (Practical AI #174)
Changelog Master Feed

Abubakar Abid joins Daniel and Chris for a tour of Gradio and tells them about the project joining Hugging Face. What's Gradio? The fastest way to demo your machine learning model with a friendly web interface, allowing non-technical users to access, use, and give feedback on mod ...  Show more

AI's impact on developers (Practical AI #241)
Changelog Master Feed

Chris & Daniel are out this week, so we're bringing you a panel discussion from All Things Open 2023 moderated by Jerod Santo (Practical AI producer and co-host of The Changelog) and featuring keynoters Emily Freeman and James Q Quick. 

🌍 AI in Africa - Voice & language tools (Practical AI #167)
Changelog Master Feed

In the third of the “AI in Africa” spotlight episodes, we welcome Kathleen Siminyu, who is building Kiswahili voice tools at Mozilla. We had a great discussion with Kathleen about creating more diverse voice and language datasets, involving local language communities in NLP work, ...  Show more