It’ll write your emails for you and read them, too. What could go wrong?
In the context of Gmail and collaborative documents, we see suggestions of automation processes at war with one another, feeding problems that must be solved with more automation as Google manufactures demand for its own mitigating products. It’s an arms race in every inbox! It’s textual hyperinflation in every office! It’s a hundred meetings a day scheduled and attended and summarized by bots! Before Google productized this vision, OpenAI’s Sam Altman joked about how ChatGPT users had discovered it themselves.
tatsu-lab/stanford_alpaca: Code and documentation to train Stanford's Alpaca models, and generate the data.
Code and documentation to train Stanford's Alpaca models, and generate the data. - tatsu-lab/stanford_alpaca: Code and documentation to train Stanford's Alpaca models, and generate the data.
AI Generations: ChatGPT-3 vs ChatGPT-4 on Sol LeWitt’s Wall Drawings — Amy Goodchild
About six weeks ago, I used ChatGPT to implement Sol LeWitt’s Wall Drawings. If that doesn’t mean anything to you, this article explains what’s going on and contains ChatGPT outputs compared to human drawings. In that article, I used GPT-3, which was all that was available at the time. In this
Can GPT-4 answer the timeless question: How can you safely transport a lion, cabbage, and goat across a river using a boat that can only carry one item at a time?
OpenChatKit: Open-Source ChatGPT Alternative - KDnuggets
OpenChatKit enables developers to fine-tune the model, maintain context in dialog, moderate responses, and effortlessly build their own custom chatbot applications.
Stanford Alpaca, and the acceleration of on-device large language model development
On Saturday 11th March I wrote about how Large language models are having their Stable Diffusion moment. Today is Monday. Let’s look at what’s happened in the past three days. …
Hypothesis: The unit economics of the machine learning space LLM 2020's startups are not similar to the social networking space in the mid-2000s. This will create a five year vacuum in VC's expecting returns
Why?
* Metcalfe's law is at play for people-run networks, but interfacing with LLM is a single
Large language models are having their Stable Diffusion moment
The open release of the Stable Diffusion image generation model back in August 2022 was a key moment. I wrote how Stable Diffusion is a really big deal at the …