conversational ai

Our 142nd episode with a summary and discussion of last week's big AI new.

Apologies for this one coming out after a pause, episodes will resume being released regularly as of this week.

Read out our text newsletter and comment on the podcast at https://lastweekin.ai/

Email us your questions and feedback at contact@lastweekin.ai

Timestamps + Links:

• (00:00) Intro / Banter
• Tools & Apps
  • (03:00) Introducing PlayHT 2.0 Turbo ⚡️ - The Fastest Generative AI Text-to-Speech API
  • (07:15) YouTube Music now lets you make your own playlist art with AI
  • (09:23) Sick of meetings? Microsoft’s new AI assistant will go in your place
  • (11:54) Anthropic brings Claude AI to more countries, but still no Canada (for now)
•  Applications & Business
  • (14:55) Humanoid robots face a major test with Amazon’s Digit pilots
  • (18:40) Figure 01 humanoid takes first public steps
  • (22:31) AI-generating music app Riffusion turns viral success into $4M in funding
  • (23:35) ChatGPT Creator Partners With Abu Dhabi’s G42 in Middle East AI Push
  • (25:00) AMD Scores Two Big Wins: Oracle Opts for MI300X, IBM Asks for FPGAs
  • (26:38) Alibaba, Tencent among investors in China’s rival to OpenAI with $341 million funding
  • (30:35) AI companies drive demand for office space in tech hubs, new study finds
  • (32:13) OpenAI is in talks to sell shares at an $86 billion valuation
• Projects & Open Source
  • (35:00) Introducing Video-To-Text and Pegasus-1 (80B)
  • (39:35) Adept Releases Fuyu-8B for Multimodal AI Agents
  • (42:03) MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
  • (44:53) Meta’s Habitat 3.0 simulates real-world environments for intelligent AI robot training
  • (48:22) DeepMind UniSim simulates reality to train robots, game characters 
  • (49:13) Jina AI Launches World's First Open-Source 8K Text Embedding, Rivaling OpenAI
  • (51:13) Llemma: An Open Language Model For Mathematics
• Research & Advancements
  • (53:22) Eliciting Human Preferences with Language Models
  • (57:23) New Nvidia AI agent, powered by GPT-4, can train robots
  • (01:01:38) Unveiling the General Intelligence Factor in Language Models: A Psychometric Approach
  • (01:04:48) AgentTuning: Enabling Generalized Agent Abilities for LLMs
  • (01:09:51) Contrastive Prefence Learning: Learning from Human Feedback without RL
  • (01:11:25) ‘Mind-blowing’ IBM chip speeds up AI 

• Policy & Safety
  • (01:14:57)  GM Cruise unit suspends all driverless operations after California ban
  • (01:18:52) AI researchers uncover ethical, legal risks to using popular data sets
  • (01:22:22) AI Safety Summit: day 1 and 2 programme
  • (01:25:23) Anthropic's AI chatbot Claude is posting lyrics to popular songs, lawsuit claims
  • (01:26:38) Mike Huckabee says Microsoft and Meta stole his books to train AI
  • (01:27:10) Clearview AI Successfully Appeals $9 Million Fine in the U.K.
  • (01:28:11) North Korea experiments with AI in cyber warfare: US official
  • (01:30:17) OpenAI forms new team to assess ‘catastrophic risks’ of AI
  • UK poised to establish global advisory group on AI
• Synthetic Media & Art
  • (01:32:22) This new data poisoning tool lets artists fight back against generative AI
  • (01:34:32) Amazon now lets advertisers use generative AI to pretty up their product shots
  • (01:36:36) The Beatles: ‘final’ song Now and Then to be released thanks to AI technology

In this bonus episode, we get a behind the scenes look at how Prof G Media created a chatbot that sounds like Scott with the help of Spirito.ai. Check out the chatbot yourself at https://profg.ai/ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Everyone talks about the future impact of AI, but there’s already an AI product that has revolutionized a profession. Alex Graveley was the principal engineer and Chief Architect behind Github Copilot, a sort of pair-programmer that auto-completes your code as you type. It has rapidly become a product that developers won’t live without, and the most leaned-upon analogy for every new AI startup – Copilot for Finance, Sales, Marketing, Support, Writing, Decision-Making. Alex is a longtime hacker and tinkerer, open source contributor, repeat founder, and creator of products that millions of people use, such as Dropbox Paper. He has a new project in stealth, Minion AI. In this episode, we talk about the uncertain process of shipping Copilot, how code improves chain of thought for LLMs, how they improved product, performance, how people are using it, AI agents that can do work for us, stress testing society's resilience to waves of new technology, and his new startup named Minion. No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode. Show Links: Alex Graveley - San Francisco, California, United States | Professional Profile | LinkedIn Minion AI Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @alexgraveley | @ai_minion Show Notes: [1:50] - How Alex got started in technology  [2:28] - Alex’s earlier projects with Hack Pad and Dropbox Paper [07:32] - Why Alex always wanted to make bots that did stuff for people [11:56] - How Alex started working at Github and Copilot [27:11] - What is Minion AI [30:30] - What’s possible on the horizon of AI

Eugenia Kuyda co-founder of Replika, an AI companion. Please check out our sponsors to get a discount and to support this podcast: - Dollar Shave Club: https://dollarshaveclub.com/lex - DoorDash: download app & use code LEX - Cash App: download app & use code "LexPodcast" Episode links: Eugenia's Twitter: https://twitter.com/ekuyda Replika's Twitter: https://twitter.com/myreplika Replika's Website: https://replika.ai If you would like to get more information about this podcast go to https://lexfridman.com/podcast or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon. Here's the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time. OUTLINE: 00:00 - Introduction 06:18 - Loneliness 13:54 - Can AI alleviate loneliness? 18:13 - Love 20:49 - Russia in the 1990's 31:47 - Chernobyl 41:35 - Communism 49:21 - Losing a friend 57:55 - Mortality 1:10:41 - Replika origin story 1:59:37 - Bringing people back to life with AI 2:05:37 - Relationship with Replika 2:18:27 - Can you form a connection with text alone? 2:27:45 - Does an AI companion need a body? 2:30:20 - Her 2:37:24 - GPT-3 for conversation 2:43:48 - We should be nice to AI 2:46:52 - Book recommendations 2:53:45 - Russian language 2:58:41 - Meaning of life

An interview with Stanford AI Lab PhDs Abigal See and Ashwin Paranjape about their involvement with the Alexa Prize Challenge and what it took to enable their chatbot Chirpy Cardinal to take second place.

Subscribe: RSS | iTunes | Spotify | YouTube

Check out coverage of similar topics at www.skynettoday.com

Theme: Deliberate Thought Kevin MacLeod (incompetech.com)