Week 26 Digest - Poet Engineer Edition
July 3, 2022
Weāre All Poet Engineers Now
The Mirror of Language | Max Anton Brewer
Sci-Fi Author: In my book I invented the Poet Engineer as a cautionary tale
— tech wiz (@deepfates) June 29, 2022
Tech Company: At long last, we have created the Poet Engineer from classic sci-fi novel Don't Create The Poet Engineer
YoloV6: Object Detection is Released
GitHub - meituan/YOLOv6: YOLOv6: a single-stage object detection framework
Not related to the original YOLO creator Not only did he create YOLO but also the best tech resume perhaps ever YOLOv6/About naming_yolov6
Who quit the field:
I stopped doing CV research because I saw the impact my work was having. I loved the work but the military applications and privacy concerns eventually became impossible to ignore.https://t.co/DMa6evaQZr
— Joseph Redmon (@pjreddie) February 20, 2020
And is now a circus performer
The show is gonna be awesome, thereās a live band (Hot Damn Scandal) performing alongside some great acts. My friend Amy and I are performing on Spanish web, itāll look like this but with like costumes and music and stuff š pic.twitter.com/w4mgdneugW
— Joseph Redmon (@pjreddie) March 16, 2022
Michael Nielsen Discusses a Recent AI Interpretability Paper
I'm enjoying reading the recent paper by @nelhage @trishume @catherineols @ch402 (and many others) on AI interpretability: https://t.co/BylMHpWjoL
— Michael (hermit mode) (@michael_nielsen) June 28, 2022
For fun, a few thoughts from a non-expert outsider, just as I read
A Cool Climate Dataset
Today weāre releasing a new collection of global downscaled climate datasets to support impact and risk analysis. (1/9)https://t.co/xEJ8qwOprg pic.twitter.com/qw4DBh7ISQ
— carbonplan (@carbonplanorg) July 1, 2022
Open data and tools for multiple methods of global climate downscaling
GitHub - carbonplan/cmip6-downscaling: Climate downscaling using CMIP6 data
Another one
Historical weather data API for machine learning, free for non-commercial
OurWorldInDataās Conditional Life Expectancy Chart
Ditch the Average
How the US Air Force Ditched the āAverageā and Saved Lives
Google AI releases Minerva
Title somehow sounds very ominous, but itās just an AI that can solve reasoning problems Not foreboding at all!
Google AI Blog: Minerva: Solving Quantitative Reasoning Problems with Language
Neural Radiance Fields
NeRF: Neural Radiance Fields let you go from 2d to 3d with neural nets.
Now you can do style transfer: ARF: Artistic Radiance Fields
Check some cool videos: Capturing Reality With Machine Learning - NeRF 3D Scan Compilation - YouTube
And this twitter user:
1/ We used NeRF to get this shot. This entire thing was shot with a phone š¤³ No drones were used @jperldev #photogrammetry #instantNeRF #neuralrendering #artificialintelligence pic.twitter.com/abnV8ICjxa
— Karen X. Cheng (@karenxcheng) July 6, 2022
AI Solves Stratego
{2206.15378} Mastering the Game of Stratego with Model-Free Multiagent Reinforecement Learning
Better Scaling for Neural Networks
1/Is scale all you need for AGI?(unlikely).But our new paper "Beyond neural scaling laws:beating power law scaling via data pruning" shows how to achieve much superior exponential decay of error with dataset size rather than slow power law neural scaling https://t.co/Vn62UJXGTd pic.twitter.com/vVt4xDBcr7
— Surya Ganguli (@SuryaGanguli) June 30, 2022
{2206.14486} Beyond neural scaling laws: beating power law scaling via data pruning
But donāt forget:
Small Models are Good Actually
What Your Cell Organelles Are Up To
No good, Iām sure.
This animation of cell organelles by Drew Berry and Etsuko Uno shows how the human cells work incessantly round-the-clock [full video, HD: https://t.co/hSxy4uV5Hi] pic.twitter.com/Qdzp6LmCnj
— Massimo (@Rainmaker1973) June 30, 2022