- PlayHD 2.0 Turbo and YouTube Music's generative AI - AMD's success in cloud services and AI workloads - Investment in Jipu and the importance of funding - Open sourcing of Mini GPT-V2 and Habitat 3.0 - Cruz's troubles and ethical concerns - AI lawsuits and cyber warfare - AI filters and the release of a final Beatles song

Adobe upgrades generative AI models for Photoshop, Illustrator, and Express. Character.AI introduces group chats with multiple AIs. Kendall Jenner faces resistance as Meta's AI celebrity. Dropbox releases AI-powered Dash in open beta. Google Cloud offers legal indemnification. Baidu unveils Ernie 4.0 AI model. Key Arm China staff quit to create government-backed startup. AMD to acquire AI software startup. Microsoft launches bug bounty for Bing AI. ChatGPT's app revenue slows. TSMC develops 2nm chip ecosystem.

Yasa-1, a multimodal AI assistant, takes on ChatGPT. Waymo expands its robotaxi service in San Francisco. GitHub Copilot's pricing model impact. Google announces new generative AI search capabilities for doctors. The implications of watermarks in AI-generated content.

This episode features a discussion on the exciting new features of OpenAI's Chat GPT, including voice and image support. It also explores the potential of AMD GPUs to rival NVIDIA and Amazon's investment in AI startup Anthropic. The podcast touches on Amazon's strategy as a model distributor, China's challenge to ASML, Intel's new laptop chip for generative AI, the development of AnyMod as a multi-modality model, advancements in 3D content creation, Google DeepMind's AI tool for DNA mutations, and the impact of DeepMind's Alpha Fold on science. The hosts also discuss the impact of AI on the publishing industry and address the legal issues surrounding copyright infringement by OpenAI's chatbot.

Our 138th episode with John Kron discussing last week's AI news, including DALLE-3's image generation, Gemini surpassing Chat GPT-4, China's semiconductor breakthrough, SoftBank's potential investment in OpenAI, challenges of investing in hardware companies, Databricks' fundraising and Lakehouse IQ, Meta's plan for next-gen model, race dynamics and multimodal capabilities in AI, AI in scientific research, limitations of context windows in language models.

Guest Jessica Dai discusses Salesforce Copilot, Chip Crunch, Meta Rival to ChatGPT, and AI for paralysis patients. Topics include Salesforce launching an AI assistant across its apps, Roblox's new AI chatbot, Bybit debuting an AI-powered TradeGPT, and China's Ant Group unveiling a finance AI model. TSMC warns of an AI chip crunch, AI reading coach startup Ello raises $15M, and Nasdaq gets SEC nod for an exchange AI-driven order type. OpenAI will host its first developer conference, Meta Platforms reportedly building an open-source generative AI system, and Indian developers top Huggington Post AI competition.

Daniel Bashir, AI interview podcast host, joins in for the 136th episode summarizing last week's big AI news. Topics discussed include paid plan for Froppik's Claude AI chatbot, Ideogram's AI image generator, the 100 most influential people in AI, OpenAI's Chat GPT's financial success, AI chip startups funding, Imbue company's funding and new releases, launch of Arabic AI model Jase, competition between Cerebrus Systems and NVIDIA, US restrictions on AI chip exports, and Microsoft's discovery of fake social media accounts.

Topics include Google's Duet AI, AI chatbots, text-to-music apps, Yahoo Mail's AI enhancements, ChatGPT Enterprise, Nvidia's Q2 earnings, Nvidia's competitive moat, Chinese AI company claims, Meta AI's Seamless M4T model, text-guided video editing, UK's AI chip race, government investments in AI, AI off switches, and Google's Synth ID for watermarking AI-generated images.

In this podcast, Andrey and Jeremie discuss various topics related to AI and existential risk. They cover definitions of terms, AI X-Risk scenarios, pathways to extinction, relevant assumptions, and their own positions on AI X-Risk. They also debate positive/negative transfer, X-Risk within 5 years, and whether we can control an AGI. Other interesting topics include AI safety aesthetics, outer vs inner alignment, AI safety and policy today, and the plausibility of a superintelligent AI causing harm. They explore different viewpoints on AI risk, including the potential for malicious use, timeline and risks of AI development, comparison of GPT3 and GPT4, and the trade-off between generality and capability in AI.

Chapters discuss challenges in training multilingual speech synthesis models, the development of generative AI tools like Lily, the launch of new features in Runway and Adobe Express, Snapchat's Dreams feature and selfie-to-headshot apps, the economics of image generation and Gartner's hype cycle for generative AI, funding trends in the AI industry, the development of AI2 OLMo and Edy Thix, generative assessment and model training, and the impact of China's new AI regulations on global AI development.