Felix Biderman of Chapo Trap House interviews Donald J Trump through the magic of AI Dungeon

It nails Trump's tone amazingly well. Apologies for the stale writing of the prompt, but I figured given the way GPT-3 is consituted it's best arranged to work with strings of cliches. Prompt: Felix Beiderman is a dark-haired, muscular Jewish man in his early thirties with a strong and honest face who podcasts with the … Continue reading Felix Biderman of Chapo Trap House interviews Donald J Trump through the magic of AI Dungeon

Recent advances in Natural Language Processing- Some Woolly speculations

If you enjoy this article, please check out my free book by clicking Here: "Something to Read in Quarantine: Essays 2018-2020." Natural Language Processing (NLP) per Wikipedia: “Is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers … Continue reading Recent advances in Natural Language Processing- Some Woolly speculations

Delayed Impact of Fair Machine Learning: A response

Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz and Moritz Hardt in “Delayed Impact of Fair Machine Learning” rightly make the point that in considering notions of fairness, it is critical that we consider them dynamically in terms of their long-term effects on a population, and not just statically. They argue that seemingly attractive and fair … Continue reading Delayed Impact of Fair Machine Learning: A response

Contra the Lebowski Theorem

See: https://kottke.org/18/04/the-lebowski-theorem-of-machine-superintelligence The fundamental mistake behind this thinking is the premise that agents with goals seek to be in a position where they no longer have unfulfilled goals or where they have important fufilled goals. This isn’t true, rather agents with goals seek to fulfil their goals. The difference between these things is subtle, and … Continue reading Contra the Lebowski Theorem