A message from Matt Squire
Did you know 2025 is a square year?
Take 45, square it, and you get 2025. If you’re wondering how special that is, the next square year is 46² – which isn’t until 2116. A bit of a wait.
This year on MLOps.WTF we’ve shared 13 articles. Topics ranged from sovereign large language models – how to build your own, and why it matters – to AI safety, including the slightly terrifying idea of using neural networks in safety-critical applications. We talked about vibe coding and whether any of us will have a job in 2026. And of course agents, which have been a big focus for us.
We care about agents because we want to understand how to productionise them – and how to keep them running in production. We’ll have a lot more to say on this in 2026, including workflow management and multi-agent systems, evaluation approaches, self-hosting agentic models, and the safety and security work that comes with all of the above.
Thanks to all of our authors besides me – we’ve had articles from Danny, James, Sam, Sav, Rhiannon, and Tom.
We’ve also run five live MLOps.WTF events here in Manchester this year. You can find all the videos on our YouTube channel.
If you’d like to come to the next one, it’s on 22 January. It’s being held at Arm’s new office in Manchester, and we’re focusing on edge AI – basically any situation where we want to train, optimise, deploy, and manage models on specialised hardware.
That includes cases with power constraints, where we want models to use as little energy as possible. Or memory constraints, where we need models to be small enough to fit. Or situations where we want to do most inference locally, close to the data, and only send summaries up to the cloud – because latency, bandwidth, cost, or privacy says we should.
We’ll cover all of those topics on 22 January with our edge AI MLOps special. If you’d like to come along, here’s the sign up link.
I couldn’t find anything mathematically interesting about 2026. If you’ve got one, send it in a message or leave a comment – we’d genuinely love to hear it.
In the meantime, have a great holiday, and we’ll see you in 2026!
