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At the end of 2022 I wrapped up my contract work with Help Scout and took the plunge to work on my indie software businesses full time. I’m now two years into that adventure, and wanted to share a periodic update about how things are going. Preceden on the Back Burner I made 32 commits … Continue reading 2024 Year in Review →
It’s been a few months so I wanted to say hey to the 7 of you who follow this blog and share a few updates about what I’ve been up to. Quick recap At the start of 2023 I quit consulting to go full time on Preceden, my SaaS timeline maker, after growing it on … Continue reading It’s Time to Build →
At the beginning of 2023 I went full time on Preceden, my SaaS timeline maker business, after 13 years of working on it on the side. A year has passed, so I wanted to share an update on how things are going and some lessons learned. Preceden My main focus in 2023 was building AI … Continue reading Reflecting on My First Year as a Full Time Indie Founder →
Below are the steps I used to get Mistral 8x7Bs Mixture of Experts (MOE) model running locally on my Macbook (with its Apple M2 chip and 24 GB of memory). Here’s a great overview of the model for anyone interested in learning more. Short version: The Mistral “Mixtral” 8x7B 32k model,developed by Mistral AI, is … Continue reading Running Mistral 8x7Bs Mixture of Experts on a Macbook →
One of the many new features announced at yesterday’s OpenAI dev day is better support for generating valid JSON output. From the JSON mode docs: A common way to use Chat Completions is to instruct the model to always return JSON in some format that makes sense for your use case, by providing a system … Continue reading Experimenting with GPT-4 Turbo’s JSON mode →
More in AI
I’ll be speaking at the Bayesian Interest Group November 2026 Virtual Meeting. The topic is using Bayesian models to interactively pre-estimate the value of applying an expensive inspection or procedure to a large population. For example: estimating the value of using an LLM security service on a great number of […]
I started this blog a few years ago when I began my journey studying immunology, to have a place to write about what I was learning and about applications of AI to the field. My studies were a success: I completed a Masters in Microbiology-Immunology, explored interesting applications, and met some awesome people along the way. At the end of last year, I decided to return to my origins and re-joined fast.ai, which had grown into Answer.AI while I was away. Why now? AI is an increasingly hated field, and for good reason. I wrote about my decision: There are tons of false and over-hyped claims about what AI can do, but underneath those, it is a genuinely useful technology. I want to use AI in ways that don’t degrade my own critical thinking skills and that don’t pretend that resources are unlimited. The biggest companies have made their vision for the technology seem like the only option. It isn’t. OpenAI, Anthropic, Google, and xAI don’t own AI. Their values and decisions aren’t the only version of what AI technology can be. I understand why many people are anti-AI. My new job is rooted in the same objections. I returned to the field because I want to figure out how to use AI in ways that protect human creativity, autonomy, and problem-solving. You can read my full essay here. I am excited to continue exploring how to design AI tools that better encourage human understanding and human autonomy, particularly in the area of education. I have written several essays in the last year, posted at fast.ai and answer.ai, about how AI intersects with education, coding, and science: Breaking the Spell of Vibe Coding Stop Saying Boredom is Good for Kids I Don’t Want a Learning Dashboard for My Child Risks and Limitations of AI in the Life Sciences My friends all hate AI; I just joined an AI startup Going forward, you can find me at fast.ai, answer.ai, on twitter, and on LinkedIn. I look forward to reading your responses. Create a free GitHub account to comment below.
A new research paper titled “AI Assistance Reduces Persistence and Hurts Independent Performance,” which was recently presented at the Conference on Language Modeling, has been ... Read more The post The Good Thing About Hard Things appeared first on Cal Newport.
AI agents can now use Ollama's cloud models safely inside Fly.io's cloud computers.
