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Our 134th episode with a summary and discussion of last week's big AI news!\nApologies for pod being a bit late this week!\nRead out our text newsletter and comment on the podcast at https://lastweekin.ai/\nEmail us your questions and feedback at contact@lastweekin.ai\nTimestamps + links:\n(00:00) Intro / Banter\n(02:30) Response to listener comments / corrections\nTools & Apps(03:53) ElevenLabs Comes Out of Beta and Releases Eleven Multilingual v2 - a Foundational AI Speech Model for Nearly 30 Languages\n(07:20) Meet Lilli, our generative AI tool that\u2019s a researcher, a time saver, and an inspiration\n(09:55) Google Tests an A.I. Assistant That Offers Life Advice\n(11:42) Runway launches new \u2018Watch\u2019 feature as CEO says Hollywood AI discourse \u2018needs to be more nuanced\u2019\xa0\n(12:45) The AI-powered Adobe Express is now generally available\n(14:30) Snapchat is expanding further into generative AI with \u2018Dreams\u2019\n(17:35) NCSoft's new AI suite is trained to streamline game production\n\nApplications & Business(19:45) Gartner Places Generative AI on the Peak of Inflated Expectations on the 2023 Hype Cycle for Emerging Technologies\n(28:52) State of AI Q2'23 Report\n(35:45) China GPT? Tencent to Unleash Homegrown AI as Big Tech Races for Supremacy\n(38:23) What you need to know about Sakana AI, the new startup from a transformer paper co-author\n(43:00 )AI startup Anthropic raises $100M from Korean telco giant SK Telecom\n(45:58) OpenAI acquires AI design studio Global Illumination\n\nProjects & Open Source(48:13) Announcing AI2 OLMo, an open language model made by scientists, for scientists\n(51:50) Introducing IDEFICS : An Open Reproduction of State-of-the-art Visual Langage Model\n(55:45) Introducing Arthur Bench: The Most Robust Way to Evaluate LLMs\n\nResearch & Advancements(58:45) Self-Alignment with Instruction BacktranslationAutomatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies\n\n(01:07:00) DeepMind\u2019s AlphaStar Benchmark Improves RL Offline Agent With 90% Win Rate Against SOTA AlphaStar Supervised Agent\n(01:12:12) RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models\n(01:14:16) BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents\n(01:21:40) Risky Giant Steps Can Solve Optimization Problems Faster\nGraph of Thoughts: Solving Elaborate Problems with Large Language Models\n\nPolicy & Safety(01:24:08) China\u2019s new AI regulations begin to take effect\n(01:28:08) The Associated Press sets AI guidelines for journalists\n(01:30:45) AI Detection Tools Falsely Accuse International Students of Cheating \u2013 The Markup\n\n\nSynthetic Media & Art\n(01:32:08) Inside the AI Porn Marketplace Where Everything and Everyone Is for Sale\n(01:35:10) AI Botched Their Headshots\n\n(01:37:52) Outro