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!
