Staying on top of AI is challenging, here are a few sources I find useful (adding more every week)
Following
Timeline of Language Models
Hugging face blog
LAION Project
HBR On AI and ML
BCG on AI and ML
Quantum Black on AI
LLM comparative studies,
Public Model Benchmarks
The Original Machine Intelligence
Forbes on AI
Techcrunch on AI
Analytics India Mag
Semaphore on Tech
AI Index annual report
Newsletters
Every.to
The Algorithmic Bridge
ChinAI
Guide to AI
TLDR
More Entropy
Communities and Conferences
Research and Applied AI Summit
AI Summit London
Gen AI - Generative AI conference
ICML
NIPS
Podcasts
Eye on AI
Steno to research them
VC / Market Maps / Lists
NFX’s good takes on AI
Matt Turck’s Machine Learning, AI and Data (2021 List)
Nathan Benaich’s State of AI
Sequoia AI Landscape
A16Z Machine Learning articles
ScaleVP Generative AI index
Antler
Base 10
Leonis Capital
Bessemer
First Minute Capital
List of Spinouts from universities
There's an AI for that
Overdrive AI Map
Chief Marketing Tech
Futuropedia
Madrona
aaronsim on Twitter
Cool Projects
Parlai conversational Agents and model zoo
crowdai - AI challenges and community
GraphGPT - Viz with NLP
AskYC - Nice showcase of Ora
https://github.com/promptslab/Promptify
https://github.com/approximatelabs/sketch
https://github.com/LAION-AI/Open-Assistant
Readings
ML Size study
Google Research update
https://udlbook.github.io/udlbook/
10 Next years in AI by Andrew Ng
Noemamag: AI and the limits of language
https://aiindex.stanford.edu/report/
https://www.gatesnotes.com/The-Age-of-AI-Has-Begun
Yan Lecunn: A path towards autonomous intelligence
A perspective on implications to MDS