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ChatGPT Inspires Virtual AI “Wife”, DeepMind Introduces DreamerV3, and OpenAI Teases Plans for Premium Chat

Blog post from Lightning AI

Post Details
Company
Date Published
Author
JP Hennessy
Word Count
874
Company Posts That Month
7
Language
English
Hacker News Points
-
Post removed?
No
Summary

Highlights include DeepMind’s DreamerV3 world-model algorithm, which reportedly achieves strong cross-domain performance and can collect diamonds in Minecraft without human data, Stanford’s LILAC framework for incorporating natural-language corrections into task execution, and Google research questioning whether causal tracing reliably identifies the best locations for editing facts in language models. Engineering news covers a programmer’s virtual AI companion built with ChatGPT and generative-media tools, OpenAI’s indication that ChatGPT monetization is under consideration, and Bird Buddy’s camera-equipped hummingbird feeder capable of identifying hundreds of species. NASA is seeking input on which open data, software, and computing resources would most benefit researchers, while a tutorial explains how to move Scikit-learn training from local machines to cloud infrastructure as workloads scale. Additional updates include Lightning community contributions, techniques for pairing Lightning, Stable Diffusion, and GPT-3, refreshed Lightning forums, and upcoming 2023 submission deadlines for ACL, ICML, IROS, and ICCV.

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