Blog Layout
Be careful with ‘open source’ AI
Bill Doerrfeld | August 20, 2024
For the last few months, I've been looking into open source AI — the confusion around defining 'open source' AI, the potential risks or issues with restrictive licenses, the performance differences across open LLMs, and so on. I think this is a fascinating and (murky world) with many ripple effects for developers.
My latest article on LeadDev looks into open source AI and tries to make some sense for engineering leaders on how to approach it. There are some great gems here on how to evaluate and safely use open-source AI.
There's definitely more to be said about the state of AI, and I'm excited to follow this space.
What leads to a higher revenue per engineer? New benchmarking from DX reveals how areas like R&D spend, org size, and growth rate move the needle.
My latest post on The New Stack reveals how researchers pinpoint the exact sources behind chatbot responses.
The Kubernetes ecosystem has exploded with managed platforms tailored to multi-cloud, edge, on-prem, and regional deployments.
Some internal projects are too good to stay hidden. For DirectorPlus, Spotify's Pia Nilsson shares how to identify and externalize internal platforms — like they did with Backstage.
My latest feature for InfoWorld looks into the gaps surrounding AI-generated code and what leaders believe we need to improve the status quo.
New research shows LLMs outperform humans in software requirements engineering, reducing weeks of work to seconds while improving completeness by 10.2%.
Containers are designed to be isolated—that's great for security but tricky for networking. My feature with InfoWorld explores how eBPF is evolving container networking.
I recently synced with Camden Swita, Head of AI and ML Innovation at New Relic, to see how software engineers are implementing agentic AI in practice.
The 2nd annual code quality report from GitClear found 10x more duplicated code than two years ago and fewer signs of code reuse than ever before.
My feature on InfoWorld explores the state of Kubernetes usability, highlighting various advancements across workload types, support for edge and AI, and new features like observability and security.
