Don't understand all the AI jargon everyone around you keeps saying? You're welcome, I made the updated AI dictionary 🥳🥳- : - The bitter lesson - scale beats everything else, especially your clever idea - Brain-inspired - we read one neuroscience abstract in 2019 - AGI - whatever the current models can't do yet - Superintelligence - AGI, but the last name was taken - Self improvement - letting a coding agent run your experiments - Recursive self improvement - the same thing but it sounds more impressive - RL - it works now, we just don't know why this time - Memory - a text file the agent appends to - Continual learning - solved next year, every year since 2016 - Agent framework - the same model prompted five different ways and called a team Novel architecture - a transformer - Frontier model - our model - Technical report - a paper with the methods section removed - Emergent capabilities - a metric we didn't plot until it went up - Neolab - a bunch of ex-{Meta, OpenAI, GDM} people who think they know better - We fired because of AI - we did not fire because of AI - We're hiring - we raised Hope this helps. See you in the next edition, the field should generate enough new terms by Friday!