How long until people start choosing their remote working location based on timezones where ChatGPT isn't over capacity during working hours?

I'd love to have an email assistant that not only helped me compose emails, but was fine-tuned on the thousands of emails that I've written so it could do so while sounding like me, rather than sounding like a generic English speaker.

Today I learned that in Python the string '\n' has length 1, not 2...!

I enjoy doing the bnomial machine learning question each day. I think this latest one must still have been in my subconscious last night, because I dreamed about it and had an insight in my sleep into a machine learning project I'm advising someone on! today.bnomial.com/?20230121

My Saturday afternoon project was going to be attempting to run Stable Diffusion via Modal. It turns out it only took me 10 minutes, because they already have the code, and it was so straightforward...! modal.com/docs/guide/ex/…

I'm currently pursuing an MA in Linguistics from the University of Mumbai. We have a mandatory year long field linguistics course where every year, we try to document either an endangered or a lesser studied language. A few things I learnt from this course, a 🧵

Tired of waiting for GPT-4-32k? Bing Chat Creative Mode uses a GPT-4 model with a context window of ~13,500 tokens! Here's how you can use it & how I found this out!

MMS: Massively Multilingual Speech. - Can do speech2text and text speech in 1100 languages. - Can recognize 4000 spoken languages. - Code and models available under the CC-BY-NC 4.0 license. - half the word error rate of Whisper. Code+Models: github.com/facebookresear… Paper:

You can do constrained sampling in ChatGPT and micromanage its output. The catch? You only get one token. But you can do a lot with that one token. You can make it a classifier, a logic gate, or have it choose tools deductively. Here's how 🧵 From my talk this week Chroma

Realizing (again) how much more useful this app is if I switch to the Following tab. Posts from people I've chosen to follow, which only have a handful of likes and comments, are generally way more informative than posts with 10k likes which have been optimized for the algorithm.

In a new deep dive, Rahul Nayak walks us through the process of building an AI research agent capable of answering questions about the intricate details within the Mahabharata, the longest epic poem ever composed. buff.ly/3L3e60W

For those that hope (or worry) that LLMs will do breakthrough scientific research, I've got good (or bad) news: LLMs are particularly, exceedingly, marvellously ill-suited to this task. (if you're a researcher, you'll have noticed this already) Here's why🧵