Final keynote announcement for RubyConf 2026: Jessica Kerr (@jessitron) closes Day 1 on July 14 at 5:00PM.
25 years in software. 14 years keynoting conferences around the world. One community she calls home.
We are so glad to have her on stage.
https://t.co/LOA2ZHVikc
I have found the killer app for Granola.
It takes notes during the meeting. Afterward, I ask it
"did I sound like an idiot in this meeting?"
of course it says no, in detail, and I feel reassured
Our future is sorta based on the last 30 years of internet content.
LLMs are possible because of the corpus of data that is the Internet of 1995-2023. More recent data is sus bc LLM content.
AI is super useful and a big part of our future.
Makes me wish I had written more.
Add a tag to your metrics:
“direction”: “higher_is_better”
- @StephWangBuilds from @MongoDB#o11ycon
ah, that looks like a great idea!
Better for agents, better for humans
Evals are one of the hard parts. How do you define “good” and how do you test it — do you freeze conditions to test just the model?
but the tools and data available have changed, and those are parts of the agent too.
Eval scenarios have to change as the system does
Stripe’s observability team wrote an agent to help respond to incidents.
“Some early quick wins made us think it would be easy. It wasn’t”
- Rob Miles, Mike Cowgill #o11ycon
LLMs give us a new point of contrast for "what makes us human?"
LLMs can do reasoning. That isn't what makes us human.
LLMs aren't conscious, though. They don't have experiences, and they don't connect with each other.
Coding agents and how they work, from the ground up, just what you need to know to use them effectively.
That's the course that @avdi and I are making at @GracefulDotDev starting now.
https://t.co/vsnXcJFhzP