Reading 50 years old AI books I always find cute how people back then thought they were close to figuring out AI comparing LISP/PLANNER programs to brain/consciousness
and then I look at us now & can already feel the tender looks of 2040's AI researchers on our current DL models
"Are you fucking kidding me?!"
--my 2yo, clear as a bell, in the middle of PetSmart, upon seeing a snake in real life for the first time
Every 3 or 4 months I find myself googling for a function to match the specific curve I’m imagining until I’m forced to ask my margined friends. Hopefully I’ll remember this awesome tool in March! twitter.com/ColugoMusic/status/1363071439679729665
Twitter: a distributed system for discovering the world's dumbest possible reaction to a stated thought.
In general, there is very little research done on best practices for data curation / cleaning / annotation, even though these steps have more impact on applications than incremental architecture improvements. Preparing the data is an exercise left to the reader
Our government is hopelessly behind on tech. Legislators haven’t had guidance since 1995 when they got rid of the Office of Technology Assessment. The average Senator is 62. Speeches won’t do much against trillions of dollars of financial incentives.
The most difficult and important is to overhaul social media. We need federal data ownership legislation mirrored after the CPRA in California. There should be ad-free versions of every platform. Section 230 should be amended to not include content that is amplified by algorithm.
Polarization and violence will continue to rise unless we address social media’s cultivation of extremity and conspiracy theories. Fake news spreads 6 times more powerfully than truth on social media. That is a landscape that will breed mistrust and hatred.
Remember: it isn't nearly over yet