Show Notes
Join us on this episode of AI Daily as we discuss three exciting news stories. First, we delve into Sam Altman's testimony in front of Congress, where he discusses the future of AI regulation and its impact on the economy. Then, we explore Quora's Poe API, a groundbreaking web browser for LLMs that allows developers to bring their own language models to the platform. Finally, we cover Apple's latest accessibility announcements, including live speech and personal voice advancements. Tune in to gain insights and discover the intriguing developments in the world of AI. Main Take-Aways: * Sam Altman's testimony: * Sam Altman testified in front of the Senate Judiciary subcommittee on Privacy, Technology, and the Law about AI regulation. * He emphasized the importance of AI safety and the future of the economy with AI. * Altman's approach of being open and accessible to lawmakers was praised. * Senators expressed surprise that technology was actively seeking regulation. * The hearing focused on past mistakes in technology, such as social media, and the need for good regulation. * Quora Poe API: * Quora introduced the Poe API, positioning itself as a web browser for language models (LLMs). * Poe aims to allow developers to integrate any type of LLM, including custom models, into their applications. * The API offers features like language chaining, monetization, and human feedback for reinforcement learning from humans. * It provides a one-click replica for easy API usage and built-in integrations with LLM frameworks. * The focus is on enabling developers to bring full LLM experiences to users, not just plugins. * Apple's latest accessibility announcements: * Apple announced advanced speech accessibility features, including live speech and personal voice. * The focus is on making AI technologies accessible and beneficial for people with disabilities. * Users can train their voices on their devices, creating custom voice models for communication. * The Magnifier app allows users to point at objects and have the labels or buttons read aloud. * These accessibility features leverage Apple's on-device machine learning capabilities and are expected to roll out later in the year, likely with the next OS release. Links to Stories Mentioned: * Sam Altman Testimony * Quora Poe API * Apple’s Announcements * ChatGPT Fund * Suhail’s “Boundless” Song Follow us on Twitter: * AI Daily * Farb * Ethan * Conner
Transcript: Conner: Good morning. Good morning. Welcome to another episode of AI Daily. We got three pretty great stories for you guys today, starting with first we have Sam Altman's testimony. Uh, this morning in front of Congress, the Senate Judiciary subcommittee on Privacy technology and the law interviewed him this morning, uh, parking a lot about AI regulation. He was joined by a professor at from NYU. And also by, uh, Christina Montgomery, IBM's Chief Privacy and Trust Officer and the Senate, and Sam Altman and the other representatives were all extremely concerned about the future of AI safety, the future of the economy with ai. Farb, Any Farb: thoughts? Uh, you know, I think Sam has been giving a masterclass in how to do this stuff correctly. The bottom line is people want to know who the leaders are that are building and controlling these massively powered technologies, ma, massively powered technologies. Obviously the politicians want to know who these people are. The politicians want to be understood by their constituents as caring about these things, taking the steps to get these leaders in front of them to speak. And Sam is. You know, getting ahead of the story just about every time and a, a real blueprint for other tech leaders. And clearly he's watched folks in the past, other big tech leaders from big companies who've sort of had to be, be dragged out in front of the Senate who've had to sort of been, be pulled out from, you know, hiding behind the magical curtain. Sam is doing it out in public, uh, saying, here I am. I'm happy
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Welcome back to AI Daily! In this episode, we explore three intriguing stories in the world of AI and technology. First up, we discuss the possible end of LK-99, a ferromagnetic material that sparked excitement about superconductivity. Our second story delves into MK-1, a project aimed at enhancing the inference speed of language models. Lastly, we cover the launch of StableCode by Stable Diffusion. This coding model, boasting a 16,000 context window and 3 billion parameters, raises questions about its distinctiveness compared to other fine-tuned models. Quick Points 1️⃣ End of LK-99? * LK-99, initially hailed as a potential superconductor, faces skepticism as evidence of superconductivity remains elusive. * Despite uncertainty, the excitement around LK-99 showcases the power of scientific engagement and the pursuit of breakthroughs. * The episode debates whether LK-99's impact on science engagement outweighs its unconfirmed superconducting potential. 2️⃣ MK-1 * MK-1 project aims to make efficient model inference accessible to all. * MK-1's compression codec MKML and GPU optimization promise faster model outputs. * Democratizing AI capabilities through MK-1 could reshape AI deployment across various domains. 3️⃣ StableCode * StableCode, Stable Diffusion's coding model, hits the scene with 16,000 context window and 3 billion parameters. * Questions arise about StableCode's uniqueness and distinct contributions compared to other fine-tuned models. * Stable Diffusion's continuous innovation underscores the evolving landscape of fine-tuned AI models. 🔗 Episode Links * End of LK-99 * MK-1 * StableCode * Robert Scoble Tweet * HuggingFace/Supabase * Mortal Combat Video * 101 School Connect With Us: Follow us on Threads Subscribe to our Substack Follow us on Twitter: * AI Daily * Farb * Ethan * Conner
Welcome to another episode of AI Daily! In this episode, our hosts Farb, Ethan, and Conner cover three big stories to close out your week. First up, Varda, based in LA, presents super exciting news on LK-99 replication, showcasing levitation in a high-quality video of the Meisner Effect. Next, the Air Force's Valkyrie air combat drone triumphs with AI, aiming for unmanned flights. Alibaba unveils a remarkable 7 billion parameter model, surpassing LLaMA-2 7B and potentially 13B. Quick Points 1️⃣ Varda LK99 * Varda in LA achieves levitation in LK-99 replication, hinting at possible superconductivity. * Promising breakthrough material, but further research required for practical applications. * Russian and Chinese experiments add to the excitement surrounding this groundbreaking substance. 2️⃣ AirForce AI Drone Flight * Valkyrie, the Air Force's AI-driven drone, conquers unmanned flight challenges in simulations. * AI integration vital for military competitiveness and cost efficiency. * Advancements in AI-controlled drones signal an exciting future for military applications. 3️⃣ Alibaba Qwen * Alibaba introduces a powerful 7 billion parameter model, outperforming LLaMA-2 7B and possibly 13B. * Ideal for math, coding, and plugin-based tasks, expanding AI's efficiency. * Multifaceted model tailored for Chinese language but shows potential for various languages and applications. 🔗 Episode Links * Varda LK99 * AirForce AI Drone Flight * Alibaba Qwen * Model to Translate ada-002 * CoreWeave - Collateralization of the GPU Connect With Us: Follow us on Threads Subscribe to our Substack Follow us on Twitter: * AI Daily * Farb * Ethan * Conner
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