AI Breakthroughs: From Stereo Vision to Open-Source Models

Explore the latest advancements in AI with StereoAnything's robust stereo matching solution and Ai2's open-source language models. Delve into the ethical implications of tech giants' data practices in Australia and discover Uber's new venture into AI data labeling. This episode offers a comprehensive look at how these innovations are shaping the future of technology and society.

Sources:
https://www.marktechpost.com/2024/11/26/stereoanything-a-highly-practical-ai-solution-for-robust-stereo-matching/
https://techcrunch.com/2024/11/26/ai2-releases-new-language-models-competitive-with-metas-llama/
https://www.theguardian.com/technology/2024/nov/27/amazon-google-and-meta-are-pillaging-culture-data-and-creativity-to-train-ai-australian-inquiry-finds
https://techcrunch.com/2024/11/26/uber-is-building-a-fleet-of-gig-workers-to-label-data-for-ai-models/

Outline:
(00:00:00) Introduction
(00:00:44) StereoAnything: A Highly Practical AI Solution for Robust Stereo Matching
(00:03:35) Ai2 releases new language models competitive with Meta’s Llama
(00:07:14) Amazon, Google and Meta are ‘pillaging culture, data and creativity’ to train AI, Australian inquiry finds
(00:10:07) Uber is building a fleet of gig workers to label data for AI models