Bad actors want to sort out what bot styles get the most responses for engagement farming. Bluesky is light on algorithms that filter what you can see, but spammers got in the habit of exploring how the algorithms work on Twitter, Facebook, and Threads so they could exploit them.
But the pleasant surprise: It has been enormously helpful in my attempts to resurrect and improve my rusty engineering knowledge, and level up my middle-aged forays into maker-ing things. The killer app for me is the ability to go deep in a domain for remedial learning. The most immediately helpful use-cases for me have been:
Entire categories of startups got killed today by OpenAI at DevDay. It was total carnage for AI startup founders as @sama threw one new feature after the other at them.
Here are some startup categories that won’t exist starting tomorrow:
1. Closed Source LLMs: OpenAI launched GPT-4 Turbo... See more
The community remains puzzled about whether these models genuinely generalize to unseen tasks, or seemingly succeed by memorizing the training data. This paper makes important strides in addressing this question. It constructs a suite of carefully designed counterfactual evaluations, providing fresh insights into the capabilities of... See more
Enter Large Language Models (LLMs). The first tranche of products and startups leveraging LLMs has kept within the mental model of selling software to achieve step-function improvements in end-user productivity. The "Copilot for [x]" trend reflects this mental model. While there are fantastic startups innovating to improve employee productivity,... See more