chatbot technology

Our 148th episode with a summary and discussion of last week's big AI news!

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:

• (00:00:00) Intro / Banter

• Tools & Apps
  • (00:02:43) Google Deepmind unveils its most advanced AI image generator, Imagen 2
  • (00:08:21) Anthropic will help users if they get sued for copyright infringement
  • (00:13:50) Midjourney Alpha is here with AI image generations on the web
  • (00:16:34) Instagram introduces gen-AI powered background editing tool
  • (00:17:09) Microsoft drastically expands Azure AI Studio to include Llama 2 Model-as-a-Service, GPT-4 Turbo with Vision
  • (00:18:54) ChatGPT Is Apparently Becoming Lazy as It Has Started Asking Users to Solve Their Own Problems
  • (00:22:17) You can create your own AI songs with this new Copilot extension
  • (00:23:57) Stability AI announces paid membership for commercial use of its models
• Applications & Business
  • (00:25:42) ByteDance is secretly using OpenAI’s tech to build a competitor
  • (00:31:55) Intel unveils new AI chip to compete with Nvidia and AMD
  • (00:36:36) Chinese chip-related companies shutting down with record speed — 10,900, or around 30 per day, shut down in 2023
  • (00:40:11) TSMC mentions 1.4nm process tech for the first time, says 2nm remains on track
  • (00:42:57) Meta has done something that will get Nvidia and AMD very, very worried — it gave up on GPU and CPU to take a RISC-y route for AI training and inference acceleration
  • (00:46:17) Nvidia rushes to deliver modified AI GPU chips to China customers, allegedly places 'Super Hot Run' priority order with TSMC
  • (00:49:17) Sam Altman’s OpenAI agrees to pay German media giant Axel Springer for using its content to train AI models
• Projects & Open Source
  • (00:52:20) Introducing DeciLM-7B: The Fastest and Most Accurate 7 Billion-Parameter LLM to Date
  • (00:57:27) Introducing Stable Zero123: Quality 3D Object Generation from Single Images
• Research & Advancements
  • (01:00:42) FunSearch: Making new discoveries in mathematical sciences using Large Language Models
  • (01:09:12) OpenAI Demos a Control Method for Superintelligent AI
  • (01:16:41) Cheating Fears Over Chatbots Were Overblown, New Research Suggests
  • (01:18:13) SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention
  • (01:20:04) CogAgent: A Visual Language Model for GUI Agents
  • (01:21:10) Limits to the Energy Efficiency of CMOS Microprocessors
• Policy & Safety
  • (01:24:24) OpenAI announces ‘Preparedness Framework’ to track and mitigate AI risks
  • (01:32:08) Pro-China YouTube Network Used A.I. to Malign U.S., Report Finds
  • (01:37:07) AI is a danger to the financial system, regulators warn for the first time
  • (01:38:42) Anonymous Sudan hacking group sets sights on ChatGPT
  • (01:40:33) Scenario planning for an AGI future
  • (01:42:51) The widening web of effective altruism in AI security
• Synthetic Media & Art
  • (01:49:22) Facebook Is Being Overrun With Stolen, AI-Generated Images That People Think Are Real
  • (01:52:34) Pakistan’s former prime minister is using an AI voice clone to campaign from prison

My guest today is Des Traynor. Des is the co-founder and Chief Strategy Officer of Intercom - a customer service solution that helps businesses answer product questions, offer instant support, and automate sales. The business was founded in 2011 and its products operate within 25,000 businesses, including the likes of Amazon, Lyft and Atlassian. Our conversation is roughly split in half. First, we talk about AI and how it’s actually changing businesses like Intercom through products such as their OpenAI powered bot called Fin. We then talk about Des’s views as an investor, which includes an answer about software that I’ll remember for a long time. Please enjoy my conversation with Des Traynor. Listen to Founders Podcast Founders Episode 311: James Cameron For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- This episode is brought to you by Tegus. Tegus is the modern research platform for leading investors, and provider of Canalyst. Tired of calculating fully-diluted shares outstanding? Access every publicly-reported datapoint and industry-specific KPI through their database of over 4,000 drivable global models hand-built by a team of sector-focused analysts, 35+ industry comp sheets, and Excel add-ins that let you use their industry-leading data in your own spreadsheets. Tegus’ models automatically update each quarter, including hard to calculate KPIs like stock-based compensation and organic growth rates, empowering investors to bypass the friction of sourcing, building and updating models. Make efficiency your competitive advantage and take back your time today. As a listener, you can trial Canalyst by Tegus for free by visiting tegus.co/patrick. ----- Invest Like the Best is a property of Colossus, LLC. For more episodes of Invest Like the Best, visit joincolossus.com/episodes.  Past guests include Tobi Lutke, Kevin Systrom, Mike Krieger, John Collison, Kat Cole, Marc Andreessen, Matthew Ball, Bill Gurley, Anu Hariharan, Ben Thompson, and many more. Stay up to date on all our podcasts by signing up to Colossus Weekly, our quick dive every Sunday highlighting the top business and investing concepts from our podcasts and the best of what we read that week. Sign up here. Follow us on Twitter: @patrick_oshag | @JoinColossus Show Notes (00:03:42) - (First question) - Des's high level thoughts on Open AI and new technology (00:07:07) - Advanced AI tech for existing businesses versus start-ups ventures  (00:11:14) - Where Intercom falls on the spectrum of existing and new AI technology  (00:13:16) - Training AI to be tailored to specific fields of work (00:18:25) - The natural end point is for Intercom incorporating AI   (00:22:25) - Des's product philosophy behind this technology (00:24:03) - Choosing an AI provider that best suited his customer service industry needs (00:26:55) - The value comparison between using AI-led customer service versus human (00:29:18) - Why outsourcing automated data is not for everyone (00:31:15) - Des's advice for other companies beginning to integrate AI into their operations   (00:36:33) - What he is excited for as an investor in this area (00:37:50) - The most common discussions he’s having about this technology (00:41:21) - The inherent risks of using AI models that are not 100% accurate  (00:45:10) - Des's evolution as an investor (00:48:25) - How Intercom solved it’s AI execution problems (00:50:46) - Combating other companies that are trying to overtake the field  (00:53:44) - Counter arguments for using AI technology   (00:57:22) - His view on the best software out there (01:03:00) - The kindest thing anyone has ever done for him

Imagine a future in which powerful AIs use human surrogates or "echoborgs" to speak their words and socialize with humans. The living, breathing avatar simply recites the computer's words at the conference table, serving as a humanizing conduit for an inhuman will. It may sound like the stuff of science fiction and TV's "Black Mirror," but such experiments are a reality in artificial intelligence research. Join Robert and Joe as they get to know the echoborgs and cyranoids among us.

Learn more about your ad-choices at https://www.iheartpodcastnetwork.com

See omnystudio.com/listener for privacy information.