ChatGPT gets 'memory' feature for personalized experiences. NVIDIA introduces local custom chatbot for RTX AI PCs. Sam Altman seeks trillions to reshape chip and AI business. Waymo car destroyed by crowd in San Francisco. OpenAI developing AI agents for automated work processes. Cohere for AI launches open source LLM for 101 languages. California bill aims to regulate AI companies.

In this episode, Andrey, an AI expert and host of the podcast, discusses various AI news and topics. They cover Google's release of Gemini chatbot, Waymo's collision, Brilliant Labs's Frame glasses, OpenAI's ChatGPT app, and more. They also talk about disruptions in chipmaking, AI safety bypass, AI-generated comedy, and the launch of Almost by the Allen Institute for AI.

Topics discussed include Taylor Swift deepfakes, AI-generated videos, Microsoft's updates to AI tools, competition between ChatGPT and Google Bard, AI integrations in web browsers, Baidu's AI chatbot powering Samsung's new smartphones, drop in market cap for AI companies, Hugging Face and Google collaboration, Alpha Codeium as an open-source code generation model, efficiency of vision transformers compared to biological systems, prevalence of AI-generated content on the internet, and the introduction of a bill to criminalize non-consensual AI images.

This episode covers topics such as live translation on Samsung phones, Meta's aim for AGI, AI-powered Premiere Pro features, Waymo's plan for robotaxis in LA, OpenAI CEO Sam Altman's pursuit of AI chips, ElevenLabs' $80M funding round and marketplace of cloned voices, and the DOJ and FTC investigating Microsoft's OpenAI partnership.

In this episode, we discuss Microsoft's Copilot Pro subscription service, OpenAI's news publisher deals, and an unusual $750 million fundraise by Anthropic. We also cover a project called llama.cpp for deploying large language models, the generalizability of clinical predictive models created by AI, and the issue of scammy AI-generated content on Amazon.

OpenAI discusses the launch of GPT Store and ChatGPT subscription. Nvidia's new chips for AI at home. DeepMind's progress in training robots for real-world activities. Bad uses of AI including AI sex companions and AI-generated deepfakes.

In this episode, Davis Summarizes discusses the reflections on the year 2023 and the interesting developments in the language model and chatbot space. They also talk about onboard AI on Google phone and Samsung's AI-driven smartphone features. Additionally, they discuss the revenue projections and growth of AI companies like Microsoft, Anthropic, and OpenAI. The chapter also explores true multi-modality and robot control, and XAI's registration as a benefit corporation.

Guests include Imagen 2 by Google Deepmind and Midjourney on web, discussing AI image generation. Other topics include OpenAI's Preparedness Framework, ByteDance secretly using OpenAI's tech, Intel's new AI chip, advancements in language models, and the concept of effective altruism in relation to AI risk.

Google's Gemini, a multimodal chatbot, is discussed including its launch, capabilities, and controversy surrounding its demo video. The podcast also covers Google's AlphaCode 2, Meta's Audiobox, Elon Musk's Grok AI plagiarism, and Gmail's AI-powered spam detection. The competition between NVIDIA and AMD in the AI hardware market is highlighted, along with discussions on Tesla's Dojo, Assembly AI funding, and Leonardo dot AI's fundraising. The chapter also explores the architecture and parameters of large language models, techniques to improve information recall, preventing jail breaks in chat GPT, and the EU AI Act and its implications.

DeepMind guests celebrate ChatGPT's 1 year anniversary. They discuss DeepMind GNoME and extraction of training data from LLMs. Also, they cover topics such as AI-powered tax prep, AI image generator, and AI-powered gift finder. OpenAI news includes board composition changes, purchase of AI chips, and rival high valuation. Google's Gemini AI launch is delayed. Other topics include AI acquisitions, open source language models, and scaling molecular modeling with deep learning. They also mention the Pentagon's Replicator program and concerns over nonconsensual deep fakes.