Zvi on AI: Sydney and Bing
More tiktok face filtering
Wild on-device makeup/face-shape filters on TikTok
What Is ChatGPT Doing … and Why Does It Work?
really really good explanation
From Bing to Sydney
The future, soon: what I learned from Bing's AI
another image input tool
In defense of prompt engineering
I am still undecided on this - was off it due to all the version changes and prompts breaking with fixes (mainly fixing exploits..), but ultimately some kind of language crafting will be inevitably useful.
Generative Pre-trained Transformer for Biomedical Text Generation and Mining
Generative AI and the shrinking time-gap between unrecognizable realities
A quick and sobering guide to cloning yourself
strange times ahead
Big Tech and Generative AI
Let's build GPT: from scratch, in code, spelled out.
very highly recommended by a lot of internet strangers
Secretary jobs in the age of AI
Glass | The First Digital Notebook Designed for Doctors
Imagine 3D (alpha)
Generate 3d objects from a prompt.
MusicLM: Generating Music From Text
Generating music from rich, descriptive captions. I look forward to Google actually making some of these available some day.
Heretical thoughts on AI
Will GPT improve GDP? Eli suspects probably not. Mentions that computers didn't (or haven't yet), and examples of larger industries that are not likely to be immediately affected; either slow moving regulatory blockers, or stuff like buildings that people are still better at.
Midjourney v4 Reference Sheets
Wolfram|Alpha as the Way to Bring Computational Knowledge Superpowers to ChatGPT
How to use ChatGPT to boost your writing
- Be more specific in prompts, for role of the writer, and style and tone. It is not having a conversation
- Don't ask it for facts or references or math.
- Play with memory and length, write smaller sections at a time to refine style
Very impressive speech synthesis demo - 3s of audio input and a passable imitation of the voice and tone.
Microsoft announces new supercomputer, lays out vision for future AI work
LearnGPT: The best ChatGPT examples from around the web
mostly just jokes and funny ones rather than best. I don't even know what best would mean.
Transcript: Ezra Klein Interviews Gary Marcus
8 ChatGPT mistakes to avoid
- Not being specific about your goals
- Not asking it to reduce its output (ask to reduce, remove, compile, or rewrite)
- Mixing topics in a single chat
- Asking only 1 thing at a time
- Prompting in the negative (instead of "without X", add "delete X" to the end of prompt)
- Not giving examples
- Asking it to do math
- Not iterating
On the need for anonymity online
Transformers from Scratch
chinchilla's wild implications
on scaling laws of language models. I still know too little about all of this to make much sense of it.
Death of progress due to AI dependency
The risk of bots filling in critical knowledge/skill gaps, preventing experts in those areas.
Artificial Intelligence - Our World in Data
The viral AI avatar app Lensa undressed me—without my consent
The very bad image dataset bias issue
There is a decision being made about you in this box
From my knowledge, the cost of large language model search
Estimate that ChatGPT will cost $150-$200 per month.
Stable Diffusion Is the Most Important AI Art Model Ever
Still a lot of unresolved ethical (and legal?) questions around generating art in the style of others, but open source data for these models seems an important place to start.
Before the flood
Why "Prompt Engineering" and "Generative AI" are overhyped
We are still figuring out the UI for AIs - making it invisible, zero-click, part of the main input.
Gives Copilot and lex.page as examples; that the bot shares the input box you are using.
Problems with prompt engineering like random phrases you need, that can break between versions.
Either due to dataset changes (like artist names in Stable Diffusion v2), or just other model changes.
And the general interaction pattern; i.e a chat vs a text generator in a document.
Language models hallucinate, and solving that is AGI-hard.
ChatGPT: Optimizing Language Models for Dialogue
ChatGPT interacts in a conversational way. Meant to let it answer followup questions & challenge incorrect premises.
Interesting how significant the UI is for these tools.
Still a lot of echoes of earlier models - it will often erroneously bring up earlier lines from chat, there's not real understanding of the conversation.
The Near Future of AI is Action-Driven
probably time to learn about transformers
Palette - Colorize Photos
Invasive Diffusion: How one unwilling illustrator found herself turned into an AI model
Ethics of the theft of artistic style.
I record myself on audio 24x7 and use an AI to process the information
Some variations, on the challenges of identifying speakers, noise, voice recognition (lot of people using Whisper now).
On perfect memory preventing you from escaping the past - getting caught up reliving things.
AudioLM Examples - Speech and music continuation
Very impressive examples. Continuing speech or piano after a 4s prompt.
Background on their short story, written by Wordcraft AI
Explain text from papers or answer questions. Cool way to fill in gaps on unfamiliar topics.
From show HN
Viral video of pig balancing on a ball is CGI
what a time to be alive
Another AI writing tool to try
Title:Avoiding the Great Filter: A Simulation of Important Factors for Human Survival
Counterarguments to the basic AI risk case
Show HN: InvokeAI, an open source Stable Diffusion toolkit and WebUI | Hack
AI is already better at lip reading that we are
Large Motion Frame Interpolation
animate frames between two images
High-performance image generation using Stable Diffusion in KerasCV
Generative AI: A Creative New World
Imagen Video: high definition video generation with diffusion models | Hack
Stable Diffusion Image Variations : a Hugging Face Space by lambdalabs
Simpler image variation than stability-ai one, from another random deep learning company.
A quick look at their website and making a text-to-pokemon model looked interesting.
run stability-ai/stable-diffusion in browser
who is paying for all these gpus
Novel View Synthesis with Diffusion Models
3d model generation (or animation of, at least) from single reference image and a pose
How to Run Stable Diffusion on Your PC to Generate AI Images
Very easy to follow setup guide for Stable Diffusion, and for running python apps on windows.
Installed windows terminal, setup anaconda prompt to auto init directory. Just some good stupid little tips like that
Show HN: Open Prompts – dataset of 10M Stable Diffusion generations
AI Content Generation, Part 1: Machine Learning Basics
Great point that inputs and prompts are actually more like search queries, and great explainer of mapping tagged images to dimensions.
Is searching a boundless space creativity? If all images are represented as numbers, and you are basically picking a number, are you creating or finding? Common twitter sentiment I have seen recently is that it isn't creative work, that feeding/refining prompts is really just more like search. Or that it's like gambling.
4.2 Gigabytes, or: How to Draw Anything
great write up of working through some prompts and backgrounds used for some drawings. For some reason I particularly liked how they added birds
Stable Diffusion is a really big deal
Freya Holmér on Twitter: "I don't think I consider AI generated images art anymore
Can search queries be considered creative input?
Exploring 12 Million of the 2.3 Billion Images Used to Train Stable Diffusion’s Image Generator
Looking inside the black box
DALL·E 2 prompt book [pdf]
Still mixed feelings on DALL-E, the book is good though. Useful some well-explained concepts.
How I Used DALL·E 2 to Generate The Logo for OctoSQL
some interesting extra ideas, on top of those from the DALL-E prompt book - tricks like "in a circle" to get something logo-style that is sufficiently centred.
Finally, I did a bunch of Google reverse image searches for it. You know, just to be sure.
Scott Aaronson will work at OpenAI for a 1 year sabbatical : Hacker News
Check back on his blog in a year
faces/hands often look strange, but on the whole, it seems useful for rapidly getting a starting point
Interesting that the generated drawings often have strange faces/hands. Is it because they are more complex shapes? Because we notice issues with them more?
Deepfake Offensive Toolkit dot
real-time, controllable deepfakes ready for virtual cameras injection. The future is terrifying
Another text-to-image model. This stuff is getting crazy
DALL-E, the Metaverse, and Zero Marginal Content
Artificial Intelligence Can Now Craft Original Jokes
Publication of the FSF-funded white papers on questions around Copilot
Show HN: Cloning a musical instrument from 16 seconds of audio
Github Copilot Wants to Play Chess Instead of Code
Me too, buddy. Me too
Hand tracking in the browser!
Nick Bostrom: Simulation and Superintelligence | Lex Fridman Podcast #83
Paper suggesting that innovation and autocracy can be mutually reinforcing, with data and case studies from China.
One-Half of a Manifesto
Neuroscience’s Existential Crisis
First steps with GPT-3 for frontend developers
Descript: edit audio/video as text
An impressive recommendation from @patio11
Also does voice generation from text! And remove filler words. Some cool stuff in there.
The Uselessness of Useful Knowledge
GPT Code Clippy, the Open Source Version of GitHub Copilot
stylegan3 training on landscapes
Crazy stuff. Also the generated faces
Whole Brain Emulation: No Progress on C. elgans After 10 Years
The Intelligence of Bodies
Very interesting discussion. Computers' ability to solve tasks goes from 'impossible' to boring as soon as they solve it! Though I am still regularly impressed by GPS...
I’m midway in the philosophizing here, but my point so far is obvious enough: The ability of a machine to do or outdo something humans do is interesting once at most. Deep Blue isn’t playing chess anymore and Watson isn’t on “Jeopardy!” because nobody cares. It doesn’t matter. We humans need to see the human doing it: Willie Mays making the catch that doesn’t look possible. When it comes to art, we need to see a woman or a man struggling with the universal mediocrity that is the natural lot of all of us and somehow out of some mélange of talent, skill, and luck doing the impossible, making something happen that is splendid and moving—or funny, or frightening, or whatever the artist set out to do.
FLAML - Fast and Lightweight AutoML
The Jessica Simulation: Love and loss in the age of A.I.
The Most Impressive AI Demo I Have Ever Seen
I don't know if I am as blown away as Alex but this is very cool. Like machine pair programming with text.
BirdNET – The easiest way to identify birds by sound.
This is the kind of thing where you think "oh sure that would be a neat side project" but the reality is an immense amount of effort
AI doesn't understand scale
Variations on tomato farming
Ethics of AI: Benefits and risks of artificial intelligence
Game AI Pro
All three volumes of Game AI Pro available online! For free!
Digging through the history of biases and problems with training data and categories used for ML tasks
GPT-2 As Step Toward General Intelligence | Slate Star Codex
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