WSJ: “The brain goes through five distinct stages between birth and death, a new study shows. Scientists identified the average ages—9, 32, 66 and 83—when the pattern of connections inside our brains shift. The brain’s adolescence phase, they discovered, lasts until age 32, and then it enters a period of stability until early aging begins at 66.”
Ivan Zhao: “Every miracle material required people to stop seeing the world via the rearview mirror and start imagining the new one. Carnegie looked at steel and saw city skylines. Lancashire mill owners looked at steam engines and saw factory floors free from rivers. We are still in the waterwheel phase of AI, bolting chatbots onto workflows designed for humans. We need to stop asking AI to be merely our copilots. We need to imagine what knowledge work could look like when human organizations are reinforced with steel, when busywork is delegated to minds that never sleep. Steel. Steam. Infinite minds. The next skyline is there, waiting for us to build it.”
NYTimes: “ChatGPT’s success is due in part to the power of the generative pretrained transformer (the GPT in the name), a special type of A.I. that can absorb large amounts of text and learn to reproduce it a few letters at a time. But this is only part of the story — and, as OpenAI discovered, perhaps not even the most important part. In its raw state, the output of GPTs can be off-putting and bizarre. It is only after a second, posttraining phase that A.I. is fit for human interaction. While the engines that power ChatGPT are undeniably impressive, what has made the product succeed is not its capabilities. It is ChatGPT’s personality. The core insight behind ChatGPT can be found in an OpenAI research paper from early 2022. That paper demonstrated that people preferred a small A.I., fine-tuned for human interaction, to a raw, unfiltered one with 100 times the number of parameters. Leveraging that insight, a group of engineers at OpenAI hired teams of human evaluators to grade the responses of the GPT models and nudge them toward more customer-friendly responses. This work revolutionized A.I. and ignited an arms race for control of the consumer A.I. sector.”
SiliconANGLE: “Nvidia’s moat looks reinforced by volume, experience curve effects, and years of end-to-end systems work. OpenAI’s lead looks reinforced by platform execution and enterprise pull — with a competitive landscape where model quality is table stakes, and the real battle is the software and services wrapped around the model.”
Andy Kessler: “Empathy and that elusive righteousness is about restoring lost dignity. And that often means setting up rules and then getting out of the way and letting freedom and free markets do their magic. There is little political credit for that whole “freedom” thing. Just results.”
