AI
Matt Ross and
AI
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
Sarah Tavel • AI startups: Sell work, not software
Many experts are concerned about how the adoption of AI systems over the next decade will affect essential human traits such as empathy, social/emotional intelligence, complex thinking, ability to act independently and sense of purpose. Some have hopes for AIs’ influence on humans’ curiosity, decision-making and creativity.
Experts Predict Significant Change in Humans’ Ways of Thinking, Being and Doing as They Adopt AI - Imagining the Digital Future Center
As we train our sights on what we oppose, let’s recall the costs of surrender. When we use generative AI, we consent to the appropriation of our intellectual property by data scrapers. We stuff the pockets of oligarchs with even more money. We abet the acceleration of a social media gyre that everyone admits is making life worse. We accept the
... See moreIf the Tech Right sees this fight as the inevitable march of progress, the Populist Right is writing an entirely different anthem. Nowhere is this more visible than in Tennessee, where Governor Bill Lee signed the ELVIS Act, a landmark law recognizing an artist’s voice and likeness as a protected property right, specifically to block unauthorized... See more
KEKE is fascinating.
via linus lee
When you hear a phrase like a “7B parameter model,” 7 billion parameters is a measure of the dataset, not the model . You obviously couldn’t train such a model out of, say, a text of 50 words (well you could, but it would be highly informationally degenerate). And if you gave the training protocol 100 internets worth of data, 7B parameters may not... See more
Venkatesh Rao • A Camera, Not an Engine
The share of human-agent and agent-agent interactions in the economy will increase over time, with agents engaging in price negotiation, placing orders from one another, coordinating supply and demand, and even rating each other to assign trustworthiness scores.