Staying on top of AI is challenging, here are a few sources I find useful (adding more every week)

https://explainextended.com

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