Meta AI and Papers with Code pull Galactica, a large language model to generate scientific text, days after its launch, amid criticism about incorrect results (Will Douglas Heaven/MIT Technology Review)

Matthias Bastian / The Decoder:
Meta AI and Papers with Code unveil Galactica, an open source LLM for generating literature reviews, wiki articles, lecture notes, and more on scientific topics  —  Midjourney / DALL-E 2 prompted by THE DECODER  —  Online journalist Matthias is the co-founder and publisher of THE DECODER.

Will Douglas Heaven / MIT Technology Review:
OpenAI releases a demo of ChatGPT, a chatbot version of GPT-3 that answers follow-up questions, admits its mistakes, challenges incorrect premises, and more  —  A chatbot version of GPT-3 that admits its mistakes is more transparent than the original.  But it’s still not perfect.

Will Douglas Heaven / MIT Technology Review:
Q&A with OpenAI CEO Sam Altman on why DALL-E 2 made such an impact, the lessons from its success about AI’s next decade, what DALL-E means for society, and more  —  Three things the groundbreaking generative model taught OpenAI’s CEO.  —  Sam Altman, OpenAI’s CEO …

Will Douglas Heaven / MIT Technology Review:
A look at OpenAI’s Minecraft bot, which has learned to complete complex tasks in Minecraft after being trained on 70K hours of video of people playing the game  —  Online videos are a vast and untapped source of training data—and OpenAI says it has a new way to use it.

MacKenzie Sigalos / CNBC:
Source: Publicly-traded US bitcoin miner Core Scientific is filing for Chapter 11 bankruptcy on Wednesday, as its valuation fell from $4.3B in July 2021 to $78M  —  – Core Scientific, one of the largest publicly traded crypto mining companies in the U.S., is filing for bankruptcy.

Will Douglas Heaven / MIT Technology Review:
DeepMind uses its AlphaTensor AI to quickly solve a matrix multiplication problem by building a custom TensorGame board game, beating a 50-year-old record  —  The new version of AlphaZero discovered a faster way to do matrix multiplication, a core problem in computing that affects thousands of everyday computer tasks.