Google's AI advancements ignite open-source and gaming industries while revolutionizing coding and answering accuracy.

TL;DR Summary
The open-source AI debate is heating up in Big Tech, with recent headlines from Google and Meta. Google's newest large language model (LLM) PaLM 2 uses nearly five times more text data for training than its predecessor, but the company has been unwilling to publish the size or other details of its training data. Meanwhile, Meta's chief AI scientist Yann LeCun argues that the growing secrecy at Google and OpenAI is a "huge mistake" and a "really bad take on what is happening." However, Meta also believes that some levels of openness go too far, and accountability and transparency in AI models are essential.
- Meta and Google news adds fuel to the open-source AI fire VentureBeat
- Google PaLM 2 and AI will change gaming, for better or worse Video Gamer
- Google is Adding Text-to-Code Generation for Cells in Colab MarkTechPost
- AI study by Google researchers reveals incredible jump in Med-PaLM 2's answering accuracy HT Tech
- Google takes on Microsoft's GitHub Copilot with AI features in Colab XDA Developers
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