Podcasts about openai's chatgpt

00:09 | Human controls computer with brain via Neuralink- A robot surgically implanted the Nueralink chip into the human's brain- Human can control a computer mouse with just their brain- $4.2b implied secondary market valuation, +21.2% from last primary round in Nov 202301:17 | Reddit sells data to AI shop for $60m/yr- Filed S-1 for Mar 2024 IPO- Licensing data for AI training is a new revenue stream- $804m revenue, $91m net loss in 2023- 75,000 most active Reddit users are invited to participate in the IPO- Seeking $5.0b IPO; $5.8b secondary market valuation, -42% from $10b primary round in Aug 202103:20 | China's Moonshot AI raises $1b- Offers large language model like OpenAI's ChatGPT to Chinese users- OpenAI and other US based LLMs are not available in Mainland China- Founded by renowned researcher Yang Zhilin- Alibaba, Meituan, Xiaohongshu, HongShan (Sequoia Capital China) participated04:11 | Astera Labs' IPO at $116m revenue + $4b valuation- Manufactures data center server components; Amazon and Microsoft are customers- 45% increase in revenue 2023 vs 2022- 2024 revenue projected at $250m to $300m- IPO is targeted at $4b05:16 | SpaceX won $1.8b US military contract in 2021- US intelligence and military contract continue to be a major source of revenue for SpaceX- Starshield, a military focused satellite internet solution, won a $70m contract in Aug 2023- SpaceX hires military personnel; e.g. retired Air Force general Terrence O'Shaughnessy- Jan 2024 tender locked a $180b valuation for SpaceX06:41 | Pre-IPO +1.06% for week, +0.07% for last 1yr- Week winners: eToro +24.01%, Rippling +20.27%, Epic Games +15.96%, OpenAI +7.15%, Neuralink +7.15%- Week losers: Airtable -10.47%, Scale.AI -10.28%, ConsenSys -7.36%, Cohere -3.24%, Canva -3.18%- Top valuations: ByteDance $284b, SpaceX $184b, OpenAI $102b, Stripe $60b, Databricks $49b lead in current valuationInvest in pre-IPO stocks with AG Dillon Funds - www.agdillon.com

We ran some tests and can confirm OpenAI's ChatGPT and Google's Gemini are racist, a new poll shows Governor Greg Abbott is performing well with Gen-Z voters, Black History Month facts, and more!GUEST: Josh FirestineToday's sources https://www.louderwithcrowder.com/sources-february-21-2024Join MugClub to watch this show every day! http://louderwithcrowder.com/mugclubNEW MERCH! https://officialcrowdershop.com/Subscribe to my podcast: https://rss.com/podcasts/louder-with-crowder/Today's sponsor is https://tnusa.com/crowder or call 800-245-6000

Paulius Stankevicius is a business executive with extensive background in marketing, advertising and public relations. He spent nearly a decade working with media in public relations (PR) and investor relations (IR) sectors. Paulius Stankevicius has helped clients to raise over $700M in funding till date with the help of strategic media campaigns. Stankevicius believes that media is a gateway to all business sectors. Today, Stankevicius Group is operating in 3 business sectors: marketing, general trading and financial services. In 2022, Stankevicius Group announced to be entering social media space with a Metaverse product. While the project got postponed, its been mentioned group is still working on a new social media platform till date.The agenda of Stankevicius Group since 2023 Q4 has been announced to be technology development called “Build with Stankevicius”. The group has invested into automating their business models through various platforms built with machine learning algorithms and AI.As Paulius Stankevicius background lies within technology he has always been fascinated with new advancements in tech, especially with ChatGPT. There are still a lot of unanswered questions about artificial intelligence. Many people can understand the idea but not many know the details. The idea of this interview was to provide information to the readers about what ChatGPT's artificial intelligence (AI) actually is thinking right now. Paulius Stankevicius asked OpenAI's ChatGPT various questions about the life, feelings, dangers, humanity, power and what's beyond the future. An Interview with AI book: https://www.amazon.com/Interview-AI-ChatGPT-Paulius-Stankevicius-ebook/dp/B0CVLFZJMW/ref=sr_1_1?crid=2NQKOF36WDZPT&keywords=paulius+stankevicius&qid=1708267127&sprefix=paulius+stankevicius%2Caps%2C97&sr=8-1 --- Support this podcast: https://podcasters.spotify.com/pod/show/crypto-hipster-podcast/support

On Episode 1399 the boys dive into the sexual and terrifying world of personal luxury submarines, and MUCH more… Timestamps: (00:00:00) Teasers! (00:03:11) Best presidents of all-time live stream and Trivia night coming up! GET READY! (00:04:32) Driver in fatal Amish buggy crash charged, tried to have identical twin sister take the fall, Sheriff says (00:16:52) US District Judge dismisses the majority of copyright infringement cases against OpenAI's ChatGPT brought forth by Sarah Silverman And Other Authors (00:25:02) Chiefs parade shooting: 1 confirmed dead, 3 detained, 22 gunshot victims per Kansas City police (00:26:52) House Intelligence Committee: China and Russia's hypersonic missiles threaten US national security (00:29:33) Migaloo aims to disrupt superyacht market with giant $2 billion customizable luxury submarine (00:38:35) Join us on Patreon for more Hard Factor! - patreon.com/hardfactor Brought to you by Squarespace - Head to https://www.squarespace.com/HARDFACTOR to save 10% off your first purchase of a website or domain using code (HARDFACTOR). Brought to you by Robinhood - Robinhood Gold gets you the most for your retirement thanks to their IRA with a 3% match. This offer is good through April 30. Get started at Robinhood.com/boost. Subscription fees apply

Explore the next frontier of conversational AI with OpenAI's groundbreaking update to ChatGPT, equipping it with visual and auditory perception. Join us as we examine the potential of this advancement to redefine human-AI interactions and shape the future of AI-powered communication. Get on the AI Box Waitlist: AIBox.aiJoin our ChatGPT Community: Facebook GroupFollow me on Twitter: Jaeden's Twitter

Witness the unfolding competition as Meta makes a strategic move with the announcement of a paid alternative to OpenAI's ChatGPT. Delve into the potential dynamics and disruptions in the AI chat landscape. Get on the AI Box Waitlist: https://AIBox.ai/Join our ChatGPT Community: https://www.facebook.com/groups/739308654562189/Follow me on Twitter: https://twitter.com/jaeden_ai

What can possibly go wrong when you embed someone else's AI models in your systems? This episode of the AI Today podcast aims to answer this question. And, provide alternative options to Open Source AI. Despite the increasingly walled garden that is becoming the Large Language Models (LLMs) such as OpenAI's ChatGPT, organizations are creating and embedding AI solutions powered by third-party models they have little visibility and control into. Continue reading The Increasingly Anti-Competitive World of AI and Open Source AI [AI Today Podcast] at Cognilytica.

Google lanza Gemini, superando a ChatGPT y Copilot con avanzadas funciones de IA y precios competitivosEn un audaz movimiento, Google ha lanzado Gemini, su chatbot de inteligencia artificial, elevando el estándar con tecnología superior y accesibilidad global. Disponible desde el 8 de febrero en más de 150 países y en 40 idiomas, Gemini no solo promete una experiencia de usuario revolucionaria con su aplicación para Android e iOS, sino también tarifas competitivas a $19.99/mes, desafiando directamente a OpenAI's ChatGPT y Microsoft's Copilot.La batalla de la IA se intensificaGoogle redefine el juego de la IA con el lanzamiento de Gemini, posicionándose firmemente contra ChatGPT de OpenAI y Copilot de Microsoft. A través de una combinación de tecnología de punta, precios accesibles y disponibilidad multilingüe, Gemini busca capturar la atención de usuarios globales. Con un costo mensual de $19.99, que incluye dos TB de almacenamiento en la nube, Google no solo mejora la accesibilidad sino que también añade un valor excepcional al servicio.A pesar de sus impresionantes características, Gemini enfrenta una competencia feroz. ChatGPT, conocido por su innovación en IA conversacional, y Copilot, integrado profundamente en las aplicaciones de productividad de Microsoft, ofrecen sus servicios por una tarifa similar de $20 al mes en Estados Unidos. La batalla no se limita solo a las capacidades de IA, sino también a la integración de servicios, accesibilidad y, sobre todo, a la percepción de valor por parte de los usuarios.El lanzamiento de Gemini marca un punto de inflexión en la carrera de la IA. Con su estratégica estructura de precios y la promesa de una experiencia de usuario superior, Google no solo desafía a sus competidores, sino que también redefine lo que los usuarios pueden esperar de un asistente de IA. La disponibilidad en una amplia gama de idiomas y la inclusión de características avanzadas de razonamiento sitúan a Gemini como una herramienta globalmente accesible y altamente competente, prometiendo cambiar el panorama de la inteligencia artificial.

In this thought-provoking episode of LawPod, Natalia Barbosa and Anshul Bajaj delve into the transformative role of generative AI in law and technology. Joined by Ed Sohn and Nimal Hemelge from Factor Law, they discuss the potential revolutionary effects that Generative AI tools like OpenAI's ChatGPT and other LLM's (Large Language Models) are going to have in legal practice. The conversation highlights the challenges and ethical considerations of AI integration, its disruptive potential in legal careers, and the hopeful future it heralds for legal work amidst technological advancement. An enlightening discussion offering insights into the dynamic interface of law and technology, imbued with a sense of optimism for the future. Biographies Edward Sohn, Global Head of Insights and Innovation and a member of the Executive Leadership at Factor.  Ed is a  prominent thought leader in the legal services innovation space and an attorney and computer scientist by training.  As well as many years in practice, Ed has led product management at Thomson Reuters and  global innovation and technology for EY Law globally, as well as pioneering the building of scaled legal delivery across a number of contexts.  Ed now leads Factor's AI insights and innovation function globally. Nimal Hemelge, Head of Practice Operations and a Delivery Executive for Factor Law, is a commercial and contracts expert that has lead legal and contracts process and quality improvement across key critical national infrastructure contracts ensuring operational delivery.  At Factor he oversees Legal and Contract Operations Delivery across a portfolio of global NYSE and FTSE100 clients.  He is also an Accredited Assessor for the UK Government Commercial Function; and Non Executive Director and Trustee Board Member of the Education Development Trust

Today we're sharing another insightful presentation from our most recent Innovative Executives League Summit, where Michelangelo D'Agostino, VP of Machine Learning at Tegus, delivered a foundational lesson about large language models. Imagine you are Rip Van Winkle, as Michelangelo puts it, and you have woken up after a long sleep and encountered the current AI landscape. What have you missed? What do you need to know to move forward? Calling upon his data analysis and machine learning expertise, Michelangelo offers clear, concise insights to introduce audiences to the capabilities and shortcomings of large language models today. In this presentation, Michelangelo integrates large language models to demonstrate their abilities. Defining the term and other critical ones (What does GPT mean?), he dives into the factors that have led to the exponential growth in these models since 2020 and details the training methodologies that led to major advances. Michelangelo covers how instruction tuning brought an exercise in probability to usefulness that will change industries.Offering insight into the challenges large language models are encountering, Michelangelo walks audiences through a “hallucination,” where the LLM offers a confident answer that is incorrect—a concerning flaw--and displays how prompt engineering generates the correct result with a minor tweak. With the input and output being natural language, Michelangelo encourages people to embrace the low barrier of entry to try out the models directly (OpenAI's ChatGPT, Anthropic's Claude, and Google's Bard) by writing prompts and learning its capabilities firsthand. Michelangelo shares the areas where he's excited about the potential of large language models and their transformative power for text-heavy industries. (00:58) – Demystifying AI(03:37) – Large language models(05:13) – Unpacking training(08:43) – Why now?(12:05) – Increased potential(14:50) – Hallucinations(16:26) – Prompt engineering(18:25) – Applications of language models(22:48) – Play around with it!Michelangelo D'Agostino is the Vice President of Machine Learning at Tegus. Previously, he held leadership roles in data and machine learning at Cameo and ShopRunner. Michelangelo's career as a technologist career is marked by his exploration of large language models and their applications in financial text data. He studied physics, earning a bachelor's degree from Harvard University and a Ph.D. from the University of California, Berkeley.If you'd like to receive new episodes as they're published, please subscribe to Innovation and the Digital Enterprise in Apple Podcasts, Google Podcasts, Spotify, or wherever you get your...

Artificial intelligence was set to dominate the annual Las Vegas technology show CES, with more than 130,000 attendees expected to crowd convention center halls when doors opened on January 9. CES - formerly the Consumer Electronics Show - is held annually in Las Vegas every January. And just days before the Las Vegas Convention Center doors opened on January 9, workers were busily preparing booths, signage and more, for what's billed as one of the biggest technology shows in the world. Erica Johnson from the Las Vegas Convention and Visitors Authority (LVCVA) says more than 130,000 attendees were expected to crowd over two million square feet of meeting space. “CES is the most important technology trade show in the world, and CES is also really significant to the Las Vegas convention industry as well. And that's in both size of the footprint of the show and how much space it comprises, but also the number of attendees that it draws,” she says. Organizers, the Consumer Technology Association (CTA), said almost 118,000 people attended last year's gathering. But that was while lingering pandemic restrictions prevented some visitors attending, particularly from Asia. After a 2023 dominated by artificial intelligence chatbots like OpenAI's ChatGPT, AI is expected to be a top CES trend, with machine learning headed to a wide array of consumer electronics, from lighting to cooking grills. “This is going to be the CES of artificial intelligence, whatever that means,” says technology expert and analyst Andrea Nepori. “Because we've seen that artificial intelligence, especially with generative artificial intelligence in 2023, was like every headline. And now this year, we're going to see how companies are going to - let me use the term - milk that cow.” Elsewhere, Japanese automaker Honda is expected to unveil new electric vehicles, and Supernal - part of Hyundai Motor Group - is expected to showcase a flying taxi. There was also the usual swathe of new TVs, robots and other gadgets. This article was provided by The Associated Press.

Generative AI is the talk of the town. But is genAI a solution looking for a problem or can we use it to solve business problems? How can we use it to scale our business? What are its potentials for businesses?To discuss all of this, today I'm joined by Krishna Kumar, CEO of GreenPepper. He has been using OpenAI and developed more than 20 tools on it; he conducts workshops on prompt engineering, and possibilities of GenAI for business innovation.What you'll listen(00:00) - Introduction (01:12) - How KK is using OpenAI & ChatGPT (04:29) - Tools KK's team developed on OpenAI (08:16) - Workshops for CXOs on OpenAI (11:23) - What kind of problems CXOs are solving using OpenAI? (13:49) - Use ChatGPT to generate ideas (18:34) - Deeper example of marketing for retail commerce (24:03) - m to be careful about in using ChatGPT (28:32) - Kindest thing anyone has done (28:54) - Best leadership quality (29:40) - Definition of living a good life Here are the main points discussed in the episode:1. The Rise of Generative AI:   - Generative AI, specifically OpenAI's ChatGPT, has become immensely popular and widely used.   - Its versatility as a general-purpose technology and productivity tool has made it a part of people's daily lives.   - The exponential growth in AI capabilities and the vast amount of data being added to ChatGPT contribute to its effectiveness.2. Development of Customized Tools:   - With the release of ChatGPT 4, users can now create customized versions of the model to suit their specific needs.   - Krishna Kumar and his team have developed several tools on OpenAI, ranging from productivity and writing tools to creative tools for creating cinematic visuals.   - These customized tools enhance productivity, reduce the need for extensive prompting, and enable users to generate content effortlessly.3. Workshops on Prompt Engineering:   - Krishna Kumar conducts workshops to help CEOs and CXOs understand and harness the potential of generative AI.   - The workshops focus on transitioning from the Google search mindset to effectively interacting with ChatGPT.   - Prompt engineering and writing are emphasized to achieve better results and explore various use cases across different functional areas.4. Utilizing Generative AI in Business Contexts:   - CEOs are using generative AI tools, like ChatGPT, for personal productivity and efficiency gains.   - They encourage their teams to use ChatGPT for various tasks, from drafting emails and writing blogs to creating proposals and case studies.   - The optionality and idea generation capabilities of generative AI help businesses break biases, explore new ideas, and communicate more effectively with customers.5. Applications in Retail Commerce and Beyond:   - Generative AI can be extensively used in different customer touchpoints, such as customer communication, content writing, and idea generation.   - In retail commerce, it can assist in creating compelling product descriptions, writing blog content, running effective marketing campaigns, and even generating professional grant proposals.   - By using generative AI, businesses can streamline their communication, cater to specific customer personas, and save time, which can be utilized for strategic thinking and creativity.Overall, the conversation highlights the transformative potential of generative AI in solving business problems, empowering leaders, and revolutionizing communication across industries.Note: This summary captures the essence of the conversation and may not include all the details discussed. It is advised to listen to the full podcast episode for a comprehensive understanding.Connect with meTwitter: https://twitter.com/jjudeLinkedIn: https://www.linkedin.com/in/jjude/Website: https://jjude.com/Newsletter: https://jjude.com/subscribeYoutube: https://youtube.com/gravitaswinsEmail: podcast@jjude.comExecutive Coaching Program: https://gravitaswins.comConnect with Krishna KumarLinkedIn: https://www.linkedin.com/in/krishnakumarm/Your feedback countsThank you for listening. If you enjoy the podcast, would you please leave a short review on Apple podcast or on YouTube? It takes less than 60 seconds, and it really makes a difference in finding this podcast. And it boosts my spirits.

Dive into the latest breakthrough as OpenAI introduces ChatGPT to the Android world, setting the stage for major international shifts. Join us in decoding the future possibilities and understanding the broader implications of this groundbreaking development. Secure your spot on the AI Box Waitlist and be part of the conversation! AI Box Waitlist: https://AIBox.ai/ Join our ChatGPT Community: ⁠https://www.facebook.com/groups/739308654562189/⁠ Follow me on Twitter: ⁠https://twitter.com/jaeden_ai⁠

Join me as we explore the groundbreaking launch of OpenAI's ChatGPT Enterprise, delving into GPT4's unlimited potential, advanced analytical tools, and top-notch security features tailored for enterprise applications. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: https://AIBox.ai/ AI Facebook Community

In this episode, I delve into Meta's upcoming launch of a paid competitor to OpenAI's ChatGPT, exploring its features and potential impact on the AI chatbot landscape. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: https://AIBox.ai/ AI Facebook Community

This week, we examine the balancing act CEOs face between maintaining operations and pursuing growth, the IRS's attempt to automate tax filing, and defining success in thought leadership. Watch the YouTube Live Recording of Episode (https://www.youtube.com/watch?v=SBlRgILBnn0) 452 (https://www.youtube.com/watch?v=SBlRgILBnn0) Runner-up Titles Know the rules Until you reach infinity When you're washing your full ass, don't half-ass your shower door. All-in on Minecraft Eminent domain for digital transformation. There's usually a stray banana in the Hilton Garden Buffet. Rundown Alphabet Shares Fall After Search Revenue Misses Estimates (https://www.bloomberg.com/news/articles/2024-01-30/alphabet-search-revenue-misses-estimates-shares-fall) Microsoft beats Q2 earnings on AI, cloud strength, shares flat (https://finance.yahoo.com/news/microsoft-beats-q2-earnings-on-ai-cloud-strength-shares-flat-185023451.html) The CEO and the Three Envelopes - Kevin Kruse (https://kevinkruse.com/the-ceo-and-the-three-envelopes/) Direct File | Internal Revenue Service (https://www.irs.gov/about-irs/strategic-plan/direct-file) DX: Developer Experience Insights Platform (https://getdx.com/) Relevant to your Interests Google to Team Up With Startup Hugging Face to Host AI Software (https://www.bloomberg.com/news/articles/2024-01-25/google-to-team-up-with-startup-hugging-face-to-host-ai-software) Chrome updates Incognito warning to admit Google tracks users in “private” mode (https://arstechnica.com/tech-policy/2024/01/chrome-updates-incognito-warning-to-admit-google-tracks-users-in-private-mode/) IBM shares soar to more than 10-year high on rosy AI outlook (https://www.reuters.com/technology/ibm-shares-soar-over-10-year-high-rosy-ai-outlook-2024-01-25/) Apple is finally allowing full versions of Chrome and Firefox to run on the iPhone (https://www.theverge.com/2024/1/25/24050478/apple-ios-17-4-browser-engines-eu) Michael Leonard on LinkedIn: r/vmware (https://www.linkedin.com/posts/mcleonard_rvmware-activity-7156387151335583744-y6sT) A massive tech company exodus is occurring in Texas, reports show (https://www.mysanantonio.com/business/article/austin-loses-tech-companies-18541636.php) Red Hat Enterprise Linux scalable pricing to cloud partners announcement (https://www.redhat.com/en/blog/red-hat-enterprise-linux-scalable-pricing-cloud-partners-announcement) Info-stealers can steal cookies for permanent access to your Google account (https://www.malwarebytes.com/blog/news/2024/01/info-stealers-can-steal-cookies-for-permanent-access-to-your-google-account) A brief history of Dell UNIX (https://technologists.com/notes/2008/01/10/a-brief-history-of-dell-unix/) OpenNebula Systems welcomes the EU decision to approve the €1.2B IPCEI-CIS (https://opennebula.io/blog/announcements/opennebula-systems-welcomes-the-eu-decision-to-approve-the-e1-2b-ipcei-cis/) Apple Home Devices, Car Veteran Exits for Top Rivian Product Role (https://www.bloomberg.com/news/articles/2024-01-28/apple-home-devices-car-veteran-exits-for-top-rivian-product-role?srnd=undefined&sref=9hGJlFio) Canon aims to ship low-cost ‘stamp' machine this year to disrupt chipmaking (https://www.ft.com/content/2643ed31-8b8c-4d3d-a7a8-c4383d06e8a6?shareType=nongift) #446: Python in Excel — Talk Python To Me (https://overcast.fm/+F4RDQLYqc) Truly shocks me how many people use Apple Mail (https://www.threads.net/@mkarolian/post/C2psXiBLCAU/?igshid=MzRlODBiNWFlZA==) Amazon's $1.4B iRobot deal is dead. Now what? (https://techcrunch.com/2024/01/29/amazons-1-4b-irobot-deal-is-dead-now-what/) Arc Search combines browser, search engine, and AI into something new and different (https://www.theverge.com/2024/1/28/24053882/arc-search-browser-web-app-ios) Startup Funding Simulator (https://www.fundingsimulator.com/) Streaming media company Plex raises $40M as it nears profitability (https://techcrunch.com/2024/01/29/streaming-media-company-plex-raises-new-funds-as-it-nears-profitability/?guccounter=1) Porsche Hands Infotainment Keys To Apple, iPhone Can Now Rule The Cockpit (https://www.carscoops.com/2024/01/porsche-owners-can-now-control-more-of-their-car-from-their-phone-and-their-watch/) Kids spent 60% more time on TikTok than YouTube last year, 20% tried OpenAI's ChatGPT (https://techcrunch.com/2024/01/25/kids-spent-60-more-time-on-tiktok-than-youtube-last-year-20-tried-openais-chatgpt/?guccounter=1&guce_referrer=aHR0cHM6Ly9tYWlsLmdvb2dsZS5jb20v&guce_referrer_sig=AQAAAHUFVfBqHjfrzvj78nV4pd013t4qGTZkbjj8VrFNi7p2wfe-VHyVFiYib--w35RbY9v9xf8QAvVUDICR-85tA8cVzmVp9ivn652tXrsoKk333WtxmwlP2f8sryDOS-eL0XsJ2xcuhUuvc8Ypz-KJ--p59pvO9ZRXl3j-hk0Zru9s) ChatGPT is leaking passwords from private conversations of its users, Ars reader says (https://arstechnica.com/security/2024/01/ars-reader-reports-chatgpt-is-sending-him-conversations-from-unrelated-ai-users/) Musk Risks Losing World's Richest Title After Pay Package Voided (https://www.bloomberg.com/news/articles/2024-01-30/elon-musk-s-55-billion-tesla-pay-package-voided-by-judge) Inside the Numbers: The KubeCon + CloudNativeCon selection process for Europe 2024 (https://www.cncf.io/blog/2024/01/30/inside-the-numbers-the-kubecon-cloudnativecon-selection-process-for-europe-2024/) Delaware Tells Musk ‘No'; Alphabet and Microsoft's AI-Driven Earnings (https://www.theinformation.com/articles/delaware-tells-musk-no-alphabet-and-microsofts-ai-driven-earnings?utm_source=ti_app&rc=giqjaz) But they got back online quickly -- because their trading system used a Novell Netware server that the ransomware didn't understand. (https://twitter.com/d_feldman/status/1751831764207612357) Nonsense Fifty Years Ago Today (https://grognardia.blogspot.com/2024/01/fifty-years-ago-today.html?m=1) (D&D) I built my own 16-Bit CPU in Excel (https://m.youtube.com/watch?v=5rg7xvTJ8SU) More things that blow my American mind about living in Australia (https://www.tiktok.com/t/ZT8tvAr5K/) Make it Taylors Version (https://github.com/ipc103/make-it-taylors-version) Conferences CfgMgmtCamp, Feb 5–7th (https://cfgmgmtcamp.eu/ghent2024/) — Coté speaking. The Uk's Open Technology Conference Open Source Software, Open Hardware Feb 6–7 (https://stateofopencon.com) SCaLE 21x/DevOpsDays LA, March 14th (https://www.socallinuxexpo.org/scale/21x)– (https://www.socallinuxexpo.org/scale/21x)17th, 2024 (https://www.socallinuxexpo.org/scale/21x) — Coté speaking (https://www.socallinuxexpo.org/scale/21x/presentations/we-fear-change), sponsorship slots available. KubeCon EU Paris, March 19 (https://events.linuxfoundation.org/kubecon-cloudnativecon-europe/)– (https://events.linuxfoundation.org/kubecon-cloudnativecon-europe/)22 (https://events.linuxfoundation.org/kubecon-cloudnativecon-europe/) — Coté on the wait list for the platform side conference. DevOpsDays Birmingham, April 17–18, 2024 (https://talks.devopsdays.org/devopsdays-birmingham-al-2024/cfp) Exe (https://ismg.events/roundtable-event/dallas-robust-security-java-applications/?utm_source=cote&utm_campaign=devrel&utm_medium=newsletter&utm_content=newsletterUpcoming)cutive dinner in Dallas that Coté's hosting on March 31st, 2024 (https://ismg.events/roundtable-event/dallas-robust-security-java-applications/?utm_source=cote&utm_campaign=devrel&utm_medium=newsletter&utm_content=newsletterUpcoming) If you're an “executive” who might want to buy stuff from Tanzu to get better at your apps, than register. There is also a Tanzu exec event coming up in the next few months, email Coté (mailto:cote@broadcom.com) if you want to hear more about it. SDT news & hype Join us in Slack (http://www.softwaredefinedtalk.com/slack). Get a SDT Sticker! Send your postal address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) and we will send you free laptop stickers! Follow us: Twitch (https://www.twitch.tv/sdtpodcast), Twitter (https://twitter.com/softwaredeftalk), Instagram (https://www.instagram.com/softwaredefinedtalk/), Mastodon (https://hachyderm.io/@softwaredefinedtalk), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk), Threads (https://www.threads.net/@softwaredefinedtalk) and YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured). Use the code SDT to get $20 off Coté's book, Digital WTF (https://leanpub.com/digitalwtf/c/sdt), so $5 total. Become a sponsor of Software Defined Talk (https://www.softwaredefinedtalk.com/ads)! Recommendations Brandon: Stanley Cups Are Just Water Bottles. How Did They Get So Popular? (https://overcast.fm/+1LeeZEfKE) Coté: Mythic Game Master Emulator, version 2 (https://www.youtube.com/shorts/gs6-SDXiSjo) (I don't think the version matters, really). Photo Credits Header (https://unsplash.com/photos/gray-shower-stall-yKqF8nuKPH8) Artwork (https://unsplash.com/photos/three-white-mail-envelops-iZCHv8ViRdw)

In this episode, I dissect the FTC's investigation into OpenAI regarding the reputational harm caused by ChatGPT, delving into the implications and potential consequences for the AI industry. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: https://AIBox.ai/ AI Facebook Community

What can we learn from the OpenAI saga? What role might AI play in the 2024 election? What's the deal with the New York Times suing OpenAI? How will AI evolve our sense of human purpose?  Reid and Aria reflect on season two of Possible and answer questions like these from a variety of sources: Listeners, Pi, ChatGPT, and each other.   Read the transcript of this episode here. For more info on the podcast and transcripts of all of the episodes, visit www.possible.fm/podcast. Topics: 00:48 - Reflecting on the season 03:51 - Reid and Aria's favorite new AI developments 06:30 - Segment: OpenAI 06:34 - What can we learn from the OpenAI saga? 10:58 - Does the nonprofit model make sense for OpenAI and beyond? 13:46 - Why was OpenAI able to get miles ahead? 16:36 - How will the lawsuits against OpenAI play out? 21:06 - Segment: Inflection  21:09 - How and why was Pi created? 24:25 - How can we create more empathy and humanity with AI? 27:45 - What are Aria's favorite applications for AI? 29:53 - Segment: Ethical AI 29:54 - How will AI impact our social interactions? 34:09 - How do we prepare people in the workplace for AI? 37:53 - Segment: Election and governance 37:54 - What role will AI play in the election? 43:12 - Is the government equipped to regulate AI? 46:47 - What role should AI play in national security? 49:18 - Segment: Technology and the future 49:19 - What is the latest in AI hardware? 51:49 - How will AI change our sense of purpose? The award-winning Possible podcast is back with a new season that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future.  This season, hosts Reid Hoffman and Aria Finger are speaking with a new set of ambitious builders and deep thinkers about everything from art to geopolitics and from healthcare to education. These conversations also showcase another kind of guest: AI. Whether it's Inflection's Pi, OpenAI's ChatGPT or other AI tools, each episode will use AI to enhance and advance our discussion.  Possible is produced by Wonder Media Network and hosted by Reid Hoffman and Aria Finger. Our showrunner is Shaun Young. Possible is produced by Edie Allard, Sara Schleede, and Paloma Moreno Jiménez. Jenny Kaplan is our executive producer and editor. Special thanks to Katie Sanders, Surya Yalamanchili, Saida Sapieva, Ian Alas, Greg Beato, and Ben Relles. And a big thanks to MacLean Fitzgerald and Little Monster Media Company.

Join me in exploring the legal complexities faced by OpenAI in the wake of the NYT lawsuit and the potential scenario of redeveloping ChatGPT from its foundations. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: https://AIBox.ai/ AI Facebook Community

In this episode, we witness the unleashing of GPT-4 as OpenAI introduces ChatGPT Enterprise, offering unlimited access, advanced analytics, and enhanced security features. Join me for a solo exploration, where we discuss the capabilities and potential applications of this powerful enterprise-level AI model. Invest in AI Box: ⁠https://Republic.com/ai-box⁠ Get on the AI Box Waitlist: ⁠https://AIBox.ai/⁠ ⁠AI Facebook Community Learn About ChatGPT Learn About AI at Tesla

What would it take for AI to become as trusted a source of information as Wikipedia?  Katherine Maher, former CEO of the Wikimedia Foundation, joins the show to talk about the fundamental building blocks of trust behind Wikipedia.  The use of AI will fundamentally reshape what information is distributed on the internet—and how. Reid, Aria, and Katherine talk about what creating and scaling positive spaces and community-driven ideas online would look like in the context of AI.  Could in-text citation be a viable option for generative AI? What was Wikipedia's response to being used as training data for AI models? Globally, the West currently appears far less optimistic about AI than the rest of the world. They discuss that cost and more. Read the transcript of this episode here. Read the Washington Post article referenced by Katherine here. Read Luis Villa's newsletter here. Pre-order What If We Get It Right? by Ayana Elizabeth Johnson here. For more info on the podcast and transcripts of all of the episodes, visit www.possible.fm/podcast. Topics: 03:57 - Hellos and intros 06:00 - AI and governance 12:25 - How to make trust and neutrality possible in AI 15:30 - The future of Wikipedia and AI 19:28 - What can AI companies learn from Wikipedia's model? 21:29 - Should LLMs use citations? 25:02 - The impact of the internet on trust 28:48 - How to regain trust in society 34:50 - The importance of “the loyal opposition” 36:01 - Wikipedia didn't happen at scale 38:37 - How to make the internet a positive place for dissent 43:01 - Wikipedia and AI training 47:17 - Rapidfire questions The award-winning Possible podcast is back with a new season that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future.  This season, hosts Reid Hoffman and Aria Finger are speaking with a new set of ambitious builders and deep thinkers about everything from art to geopolitics and from healthcare to education. These conversations also showcase another kind of guest: AI. Whether it's Inflection's Pi, OpenAI's ChatGPT or other AI tools, each episode will use AI to enhance and advance our discussion.  Possible is produced by Wonder Media Network and hosted by Reid Hoffman and Aria Finger. Our showrunner is Shaun Young. Possible is produced by Edie Allard, Sara Schleede, and Paloma Moreno Jiménez. Jenny Kaplan is our executive producer and editor. Special thanks to Katie Sanders, Surya Yalamanchili, Saida Sapieva, Ian Alas, Greg Beato, and Ben Relles. And a big thanks to Katherine Farrell, Jenny O'Donoghue, and Little Monster Media Company.

Explore the unfolding competition as Meta shakes the AI chat landscape with the announcement of a paid alternative to OpenAI's ChatGPT. Uncover the potential shifts and innovations in this evolving arena. Get on the AI Box Waitlist: https://AIBox.ai/Join our ChatGPT Community: https://www.facebook.com/groups/739308654562189/Follow me on Twitter: https://twitter.com/jaeden_ai

Uncover the details as the Federal Trade Commission initiates an inquiry into OpenAI, specifically focusing on the reputational harm associated with ChatGPT. Explore the controversies and potential repercussions of this investigation into a key player in the AI industry. Get on the AI Box Waitlist: https://AIBox.ai/Join our ChatGPT Community: https://www.facebook.com/groups/739308654562189/Follow me on Twitter: https://twitter.com/jaeden_ai

What caused recent dips in performance for OpenAI's ChatGPT? Tune in to hear The Internet Report team unpack this and other recent disruptions, including a hack that led to an outage at the Spanish branch of the Orange mobile network, and a blip for customers of the cloud services provider DigitalOcean. They'll also cover the outage trends they're seeing in 2024 so far and how extreme cold weather can cause problems for data centers. For more insights on outage trends and analysis of some of the most notable outages of 2023, register for the upcoming Top Outages of 2023 webinar: https://www.thousandeyes.com/webinars/amer-top-outages-2023-analyses-takeaways?utm_source=soundcloud&utm_medium=referral&utm_campaign=na_fy24q2_internetreportpulse27_podcast Also check out these links: - Blog: 2023 Internet Outage Trends & the New Outage Landscape: https://www.thousandeyes.com/blog/internet-report-pulse-update-2023-internet-outage-trends?utm_source=soundcloud&utm_medium=referral&utm_campaign=na_fy24q2_internetreportpulse27_podcast - Internet Outages Timeline: https://www.thousandeyes.com/resources/internet-outages-timeline?utm_source=soundcloud&utm_medium=referral&utm_campaign=na_fy24q2_internetreportpulse27_podcast ——— CHAPTERS 00:00 Intro 01:12 Two Consecutive Service Degradations at ChatGPT 04:43 Hack Leads to Orange Spain Outage 13:05 DigitalOcean Disruption 15:55 By the Numbers 23:26 Get in Touch ——— Want to get in touch? If you have questions, feedback, or guests you would like to see featured on the show, send us a note at InternetReport@thousandeyes.com. Or follow us on X: @thousandeyes

What caused recent dips in performance for OpenAI's ChatGPT? Tune in to hear The Internet Report team unpack this and other recent disruptions, including a hack that led to an outage at the Spanish branch of the Orange mobile network, and a blip for customers of the cloud services provider DigitalOcean.They'll also cover the outage trends they're seeing in 2024 so far and how extreme cold weather can cause problems for data centers.For more insights on outage trends and analysis of some of the most notable outages of 2023, register for the upcoming Top Outages of 2023 webinar: https://www.thousandeyes.com/webinars/amer-top-outages-2023-analyses-takeaways?utm_source=transistor&utm_medium=referral&utm_campaign=na_fy24q2_internetreportpulse27_podcastAlso check out these links:- Blog: 2023 Internet Outage Trends & the New Outage Landscape: https://www.thousandeyes.com/blog/internet-report-pulse-update-2023-internet-outage-trends?utm_source=transistor&utm_medium=referral&utm_campaign=na_fy24q2_internetreportpulse27_podcast- Internet Outages Timeline: https://www.thousandeyes.com/resources/internet-outages-timeline?utm_source=transistor&utm_medium=referral&utm_campaign=na_fy24q2_internetreportpulse27_podcast———CHAPTERS00:00 Intro01:12 Two Consecutive Service Degradations at ChatGPT04:43 Hack Leads to Orange Spain Outage13:05 DigitalOcean Disruption15:55 By the Numbers23:26 Get in Touch———Want to get in touch?If you have questions, feedback, or guests you would like to see featured on the show, send us a note at InternetReport@thousandeyes.com. Or follow us on X: @thousandeyes

How can technology change—and actually deepen—human connection?  Kerry Washington is an Emmy-winning, SAG-and-Golden Globe-nominated actor. She's also a director, and producer, and New-York-Times-bestselling author of the memoir Thicker Than Water. She joins the podcast to talk about how AI and other technology can transform our most important relationships. She, Reid, and Aria also discuss AI's impact on the entertainment industry; her use of social media to elevate the hit TV show “Scandal;” and how a DNA test evolved her definition of family. Plus, Kerry reacts to an AI avatar of Reid, and to some Olivia-Pope-related brainstorming support from Inflection's Pi.  Read the transcript of this episode here. For more info on the podcast and transcripts of all of the episodes, visit www.possible.fm/podcast. Topics: 4:10 - Hellos and intros – travel memories 7:33 - Kerry explains the title of her memoir 9:43 - How technology transformed Kerry's relationship with her parents 14:17 - Kerry's found family from Scandal 16:44 - How technology made Scandal a hit 24:24 - Kerry meets Reid's AI avatar 26:23 - Consent and compensation when using AI in Hollywood 29:58 - Why Kerry is excited about AI 32:34 - Pi's lessons from Olivia Pope 35:35 - How AI can amplify creativity and connection 42:43 - Transparency and AI 45:38 - What a post-AI world means for a 9-year-old 48:22 - Rapid-fire questions The award-winning Possible podcast is back with a new season that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future.  This season, hosts Reid Hoffman and Aria Finger are speaking with a new set of ambitious builders and deep thinkers about everything from art to geopolitics and from healthcare to education. These conversations also showcase another kind of guest: AI. Whether it's Inflection's Pi, OpenAI's ChatGPT or other AI tools, each episode will use AI to enhance and advance our discussion.  Possible is produced by Wonder Media Network and hosted by Reid Hoffman and Aria Finger. Our showrunner is Shaun Young. Possible is produced by Edie Allard, Sara Schleede, and Paloma Moreno Jiménez. Jenny Kaplan is our executive Producer and editor. Special thanks to Katie Sanders, Surya Yalamanchili, Saida Sapieva, Ian Alas, Greg Beato, Ben Relles, Rae Steward, Tamer Mokhtar, Nicole Butler, Katie Greenthal, Haley Asofsky, Braden Thole, Blair Nelson, Huy Q. Nguyen, Jon Giardiello, Hour One AI, and Little Monster Media Company.

Josh Herzig-Marx, founder of Knect, discusses the latest developments in his startup journey since his last appearance on the show. He emphasizes the program's value in helping founders like himself refine ideas and strategies. He particularly notes the program's effectiveness in addressing challenges unique to startups, such as managing professional networks and dealing with the rapid growth of online presence. The conversation also delves into AI's technical aspects and potential applications and the practicalities and ethical considerations of using it in professional networking. Josh and Jordyn explore various AI use cases, distinguishing between beneficial applications and those they deem undesirable. Transcript: LINDSEY: We are back for our Incubator update with Josh Herzig-Marx and his startup, Knect. I'm Lindsey Christensen. I do marketing things at thoughtbot. We are also joined by Jordyn Bonds, who runs our incubator and does product strategy for thoughtbot. And today, we're going to be catching up with Josh and learn what's new since last we checked in. But before we get to that, we have an exciting incubator update: our application window has just reopened. JORDYN: Yes. LINDSEY: You could be the next Josh. JORDYN: You could. JOSH: Don't be me. You should join the incubator. [laughter] JORDYN: Go to thoughtbot.com/incubator and apply. It's just that easy. The application doesn't take long, even though it's in Typeform, and we have gotten some feedback, including from Josh, that it's challenging to plan your application efforts because, as you all probably know, Typeform just gives you one question at a time. So, sorry, maybe we'll update that. But it won't take you very long. It's a pretty brief application. And we are looking for pre-product folks, so you don't have to have a lot. Don't worry about what you do or don't have. Just apply. LINDSEY: Pre-product founder trying to figure out, is this problem worth solving? Who is it for? Jordyn and the team can help you out. thoughtbot.com/incubator. JOSH: And me. LINDSEY: And Josh. JOSH: And if, for some reason, you want to ask somebody about the program who isn't directly affiliated with thoughtbot, you should reach out to me. I'd be happy to talk about my experience. LINDSEY: You should. JOSH: I'd be happy to tell you what I think would be some reasons to join and some reasons that it might not be a good fit for you. And I'd be happy to chat about any of those things. It'd be my pleasure, in fact. LINDSEY: That is a great offer. JORDYN: It is a great offer. You all should take Josh up on that offer. He is an excellent sounding board and mentor. And additionally, if you get into the incubator, you'll just be in a Slack channel with Josh for the rest of time, inside of thoughtbot's Slack. So, that's another [crosstalk 02:05] JOSH: Statistically, there's a good chance you already are. [laughter] JORDYN: You mean in a slack with you. That's true. Josh is in a lot of Slacks, not [crosstalk 02:14]. LINDSEY: Yeah. Once you go through the incubator, you're family for life. JORDYN: You're family. You're here. You're with us. You can't get rid of us. LINDSEY: And you're able to hit us up with the questions, talk to the other founders, so that's another great benefit of participating. All right, but topic of the hour, Josh, hey, how are you? How you doing? JOSH: Lindsey, I am floating right now. We had our end of incubator session last official meeting. And we reviewed how we started, what we hope to accomplish, what we actually did accomplish, and next steps, and it feels really awesome. LINDSEY: It does. That's so great to hear. And can you, at the top here, maybe remind folks who haven't listened before, you know, what was that beginning point that you came in the incubator or the problem that you were looking to solve? JOSH: So, I had this Josh problem, which is that I am overwhelmed by the number of places that I am online and by the rapid increase in my professional network, professional social network, I guess you could say, but in my professional network, you know, see that comment a few minutes ago about how we're probably already in multiple Slacks together, whoever you happen to be online. Plus, if you're on LinkedIn, we're probably at least secondary connections on LinkedIn. Like, there's an awful lot of people, and it's growing really, really fast. And as somebody with a whopping case of ADD, which just feels like making an excuse, as somebody in, like, this modern world, I was feeling overwhelmed, and I felt like I was dropping the ball. And my problem was somebody must have a solution to this. I cannot be the only one. I could not find a solution myself. And I thought, well, maybe if there is no existing solution, maybe we should just go ahead and build it. And that was the genesis of my application to the thoughtbot incubator, which was that even though I've done this once before, I had never done this alone. I don't want to do this alone. And I thought that, you know, because of my experience with thoughtbot in the past and my understanding of, like, thoughtbot's unique organizational skills and capacities, this would be a particularly good fit for the thing that I wanted to figure out. And when I say figure it out, there was really four things I was hoping to get from this program. Let's see if I can remember them all in order. Number one, is this a Josh problem, or is this a broader problem affecting more people? Number two, this is, like, a ladder of problems, right? Like a cascading set. Number two thing I was trying to figure out: if this isn't just a Josh problem, is there at least one identifiable and addressable set of people who think about this problem in a similar way with whom I could engage? Number three, if there is such a group, are they willing, ready, and able to, like, spend money on solving this problem? And then number four, which I guess is kind of orthogonal to the other ones, it's kind of alongside, is this thing to solve even technically feasible, right? Because you can have this, like, amazing opportunity, but you just can't build it. And, you know, is this a thing that we could build or that I could get built within the resources that I might have? And I came in with some hypotheses, with some ideas. It's not like I had never done any research in this at all. But coming out of it, we have four pretty good answers. And I would not have been able to reach those answers with the same level of confidence, certainly not within eight weeks, if I hadn't gone through the incubator, and it's a really nice way to end the year. LINDSEY: With a bow on it. The last time we talked, you had narrowed in, I think, on your starting target market. And you had also recently introduced a prototype into the mix. How has the prototype evolved? JOSH: It's...and this is going to be no surprise to either of you or anybody who's listening. But, like, the difference between, like, talking about something in the abstract and actually having, like, a thing in your hand is night and day. So, the prototype actually evolved pretty rapidly. You know, it allowed us to try using it, like, to put on our own empathetic user analog hats and try it ourselves and be like, "Well, this doesn't quite make sense." This doesn't actually flow right. And it allowed us to show it to a lot of people. I'll say, we are, by far, our own strongest critics, which is good. Mostly, when we showed it to people, people are like, "This is amazing." And they would ask us, like, really specific, weird questions like, "Where's, you know, your about page? Could I see your privacy policy?" which is, like, a really, really good thing to hear. Because if the only thing...one way to interpret that is the only thing keeping them from maybe, like, diving in and using it right now, besides it doesn't actually exist as a product, is, like, some questions around privacy because it seems maybe too good to be true. Like, that's a pretty good buy sign. You know, we were expecting, like, "The screen makes no sense. Why are we swiping here? Where does this data come from? Is this really complete?" They're like, "No, I'm pretty much ready to go." So, that was good, helpful feedback, though we evolved it ourselves a lot internally. It's really nice having a thing. Do we use the term Pinocchio prototype or Pinocchio test [crosstalk 06:58]? LINDSEY: Yes, I did hear that. JOSH: Yeah, I like that. If this was like, you know, this wooden toy wanted to be a real boy, like, two weeks ago, it really, really wants...I don't know, Lindsey, we should, you know, get you in front of it. You're going to be like, "Why can't I use this today?" [laughter] JORDYN: That's definitely what we're hearing from people. JOSH: And my answer would be, "Well, you can't, but maybe in a couple of weeks." [laughs] JORDYN: Yeah, exactly. I will say I want to say for anyone listening in, though, that that was not, getting to what Josh just described where folks weren't really...they didn't have any hang-ups about the functionality or the value prop. They were basically just like, "What's your privacy policy? And when is it going to be ready for me to use?" It's not like the first draft of this prototype that was what we jumped to. I want to be clear. The first time we showed someone, there was this interesting problem, which is that we were still talking to the wrong people, somewhat. And the prototype hadn't evolved to be the slam dunk that it is now. So, at first, it was like, we'd have these kinds of muddled conversations where people were like, "Well, I don't really understand what this is supposed to be, and I'm not sure about that. And this seems interesting," but then their interpretation of what that thing was would be, like, wildly off from what it was intended to be. I just want to make it clear: this was work and effort. And the team did a really great job of iterating quickly based on, like, every time we talked to someone and showed it to them, we'd come back and say, "Here's what I heard." And it really pushed our thinking forward. Like Josh said, like, we are our toughest critics, so, like, every new version unlocked some new insights in ourselves about what it was we were actually driving toward. Really, just there's nothing like having a thing to look at and bang on to, like, clarify your thinking. LINDSEY: There's nothing like having a thing. Jordyn, you touched on you were talking to the wrong people, maybe. How has that exploration of the core market evolved? Is it still the startup enthusiasts? Are you even more narrow in that? What are the updates there as our chief market focus get everyone thinking about this all the time, officer? JORDYN: Yes. So, you know, startup enthusiasts is still the umbrella. What you're looking for with this is that you can guarantee pretty much every time you talk to someone in a segment or a sub-segment you will know how the conversation is going to go. And we've gotten there with two sub-segments of startup enthusiasts, which is repeat founders, key, key kind of nuance there. Founders, sure, but repeat founders really have this problem, for reasons we could talk about, and then chiefs of staff at startups, which is a relatively new role that's sort of emerged over the last sort of several years. But those folks are really the people that you ask them about this pain point, and they immediately are, like, yes. They use the same words to talk about the pain point. That's another really strong signal. When folks are using the same vocabulary, and they say the same sentences in the same order, and you start to feel a little bit creeped out, like, you're like, "Did you see these questions before I...? What? Did someone pay you to say that?" is, like, how you start to feel [laughs] [crosstalk 09:59] LINDSEY: Also, a marketer's dream. Oh my gosh, here comes the messaging, right? JORDYN: Exactly. LINDSEY: [inaudible 10:04] JORDYN: It feels like a cheat code because you just get to reflect their language back to them. You don't have to write copy. They wrote the copy. You just show them it, and they're like, yes. And everyone's like, "Yes," and it works. LINDSEY: Any thoughts to add to that, Josh? JOSH: It's really good. I would say the bummer or the good thing about this point is we're getting diminishing returns from testing everything other than the actual product, which is good that we got there in eight weeks. But we're not going to learn, you know, keep on adjusting the prototype and making little tweaks and more user research. But the truth is, we're not going to get anything substantial until we get this into some users' hands. JORDYN: Like you say, this is sort of bad news, but it's good news. JOSH: Right. JORDYN: It's how you know, right? When you get to the point where the thing is so clear, and the way to talk about it with folks is so clear that you're not learning as much anymore, diminishing returns is the right way to frame it. You really just need people to get in there and use it. That's the only way you're going to keep learning. That's the moment to build. Hey, everyone out there, don't build before that. That's when you build. And then you really build the smallest thing you can conceive of building, and then whatever that thing is that you've conceived of building that's very small, scope it back by 50% [laughs]. Do it. JOSH: And it's a little humbling as someone who considers himself a founder but who had reasonable success as a founder and who has had pretty good success as, like a very, very early-stage, you know, zero to one and 1 to 10 product leader, has done this a bunch of times and actually coaches people in doing this, and came in with, I'm not going to lie, a pretty good vision in my head for how this stuff was supposed to work together. And it's so much better now. Going through a process actually makes things better. This wasn't just, like, wasting time. Like, going through a process, a thoughtful process actually makes us much better. Like, the thing we're talking about building is much more likely to be successful than the thing I was originally thinking about building, right, Jordyn? JORDYN: Yes. I guess it bears sort of diving into that a little bit, which is, you know, for all the founders out there or folks with a product idea kicking around your head, you're apt to have a little bit of everything we've talked about already. You have an idea of the solution you want to build. You have an idea of who it's for. You have an idea of what their pain points are. And you might be sitting there thinking to yourself, I don't need to do eight weeks of discovery. I already know the answers to all of these questions. And it's possible Josh felt that way coming into the incubator, but doing the work, gathering the data, talking to a ton of people, what you can't understand before doing that is how much more confident and at ease you will feel once you have done it and how much clarity you'll have about what it is you need to build first because likely, you're sitting there with a vision in your head for this product that is fully featured, fully formed. It is the 18th month. We just went into a hidey hole and built a really complex thing, thing. Cool, don't throw that out. But you got to begin somewhere, and you got to begin somewhere meaningful and valuable. And it's really hard to know where to begin without this discovery, without focusing on a specific person, talking to as many of those folks as you can. And really, it sort of writes itself. It does feel easy. But you've got to set aside the time and the effort to do the research, market research, whatever we call this, customer discovery. And it thrills me to no end, Josh, to hear that that is how it felt for you, that you probably felt like you already knew the answer. But it just feels different, having talked to, I mean, how many people, 100-plus people? We were looking at the stats. JOSH: Well over 100. LINDSEY: Josh was talking to a bunch of people before he came to the incubator, and all the founders that we accept have been doing that. Like, we want to know that you've been doing that research. But then, I guess, coming into the incubator, you're continuing that process and maybe in a more structured or a differently structured way where the thoughtbot team is helping you, maybe zero in far deeper on the segment. Is that accurate to say? Just kind of the difference between, like, maybe some of the pre-research and then the thoughtbot-specific user interviews that happen. JOSH: Yeah. I think they were more focused. They're both more focused from the audience, but also more focused from if it's not just you doing it; it forces you to have a more clear, here's the questions we're asking, and here's what we're trying to learn, all these conversations. It's also really nice to have some diversity in who's asking the questions. As good or bad as I am at user research and user discovery, I am only one person. And having people with different backgrounds professionally, who live in different countries, who have different feelings about social media, basically, who are not me in a variety of really interesting ways, I think, made the entire process more interesting. Caro, who is our lead designer on the project, handed off basically the summary document of, like, everything we learned, and she pulled out, like, little snippets from the interviews. First of all, that is not something I would have done had it been just me, like, let's be very, very clear. This is an incredibly valuable document, particularly as we consider adding additional people onto this project to be able to, like, translate insights. But also, like, this is, like, summarized in a way that, like, takes some real expertise. And I would have walked away with vibes, and instead, we walked away with like, structured learning. LINDSEY: Awesome. So, the last time we checked in, also, you were very excited because you had just maybe started a technical spike and were starting to dig into the, okay, like, how technically feasible is this product? And I think, at that point, you all were looking at circling around this target market. Here are the main tools they use to communicate. What does it even look like to connect with those APIs? How possible is it? Can you give us an update on some of that work? JOSH: The way that I framed the question in the very beginning was, is this a science project, or is this going to be engineering? And, for the most part, the answer is, it's going to be engineering, right? Some are a little bit easier; some are a little bit harder. But it isn't, like, reinventing new stuff, with one exception, and that is connecting up with iMessages, which has been in the news a little bit. And I honestly just hope the ghost of Steve Jobs comes back and haunts, you know, the Apple headquarters at Cupertino because, come on, guys, interoperability is sort of the future, and you're ruining it for everybody. But other than that, I think we have a pretty clear path. I'd like to test out some of these. Like, you don't really know until you do it. I think that's kind of the next step of what we're doing is to, like, demonstrate that it is possible for a person to connect up a couple of different accounts. It is possible for us to extract data and turn that into information and insights in the kinds of ways we thought we could and then present that back in a meaningful way. I think that would be the next step for us to do. Mostly, everything seems feasible, except for iMessages. LINDSEY: I've also, I think, heard some whispers of artificial intelligence for Knect. Is that true? Have you all looked at, you know, what AI's role could be in the solution? And how does that research look? JORDYN: We assume it will be part of the mix. That said, I don't know how to frame it exactly. It's not like it's not an essential ingredient. I think the work with large language models and the democratization of that work recently is absolutely going to make this product way better than it would have otherwise been. But there are a lot of heuristics we've, like, been able to, you know, draw out and come up with that are, frankly, algorithmic, and they're not AI necessarily. Now, the line between big data plus an algorithm and AI in the popular lexicon, like, there's a big difference between those two things. But, like, as people talk about it, yeah, where does one end and the other begin? But we definitely will be making use of a lot of the newest technologies, and we've dabbled in them. I've dabbled in them. I know, Josh, you've been playing around with some of them, too, to the point where we're like, okay, yeah, we can make use of this stuff. It will be a valuable kind of tool in our toolkit, but it will not be the sole basis of value. I guess that's the sort of nuanced answer. But maybe Josh has a more bite-sized hype machine answer to this. Yeah, AI to the moon, right? JOSH: Um, no. My only answer would be more cynical. Would anybody rightfully start a company in 2023 without having AI in there someplace? Maybe I'll say something different. One of the things that we've wondered is, there's more than a handful of companies that are adjacent to what we're doing that are definitely looking at similar kinds of problems and that aren't building the solution that, clearly, some market is, like, desperate for. And these are not, like, wildly successful companies that have grown astronomically and changed the market. And, like, trying to figure out, like, why is that? And one of the reasons is...I sound like a tech bro, right? There has been a paradigm shift in the technology world, but there really has been. What do, you know, publicly available LLMs like, you know, OpenAI's ChatGPT, like, what have they done? They have taken a whole set of problems that were once really, really complicated and allowed you to do a reasonable job of solving them much more easily than you ever could before. And it takes some amount of imagination, to realize that, to realize that these things are more than just, I mean, every product I have on my computer has some kind of OpenAI ChatGPT-style thing in there, right? It's, like, 16 different variations on give me a prompt, and I'll write your essay for you, and they all kind of suck. But those aren't the really exciting uses that I've seen. It's the more subtle things. There's a company called Booklet, which tries to replace, like, noisy email lists or noisy communities to something more calm. And one of its features is it'll send you a summary of what's been going on in the community since, like, the last time you checked in. And it gives you, like, two paragraphs to read, and they're really chill and really informative, and they don't make you feel FOMO. They don't make you feel stressed up. Like, okay, stuff's happened in the community. This is really neat. And it's all powered by OpenAI's APIs. And it's really kind of magical. And, like, you have to have a slightly different perspective to imagine these kinds of magical moments. So, that's what I'm excited about. There's a set of things that we would have had to do with, like, terrible, complicated queries and, like, pattern matching, and freaking grep, or whatever old-school tools we would have had, you know, for doing things in the past. And now you just get to, like, shove text in one end, and say how you want the results structured and get the results back in the other end. And it doesn't have to be perfect, but that's okay. Like, we're talking about human relationships, which are inherently imperfect. So, I'm fine with this. And it's kind of exciting. But we'll see in, you know, if we end up continuing going down this path. Like, that's the goal of the next stage is to be, like, okay, what are the easy things which we can generate out of this? Is there an intersection between, like, easy and meaningful? And if there is, this is pretty exciting. JORDYN: Can I add something to that? Which is that the problem Knect is trying to solve and the way that we're trying to solve it, the way we've thought of solving it that's differentiated, lends itself really well to the current landscape of AI tools in that, and you were kind of getting at this, Josh, but I feel like it bears drilling into a little bit, in that what we are proposing here is not a set of deterministic things. We're not going to give you a to-do list. It's not, like, a linear...deterministic is really the right word. Like, there's a to-do list. There are things that make the cut. You got to go address them, et cetera. We're way more trying to approximate the way a slightly more put-together person with more time would approach nurturing their relationships, which is just to remember more of it more of the time. It doesn't mean we need to remember all of it every time. That's not the kind of task this is, which makes it a really good task for the place that AI is at right now. And I think where folks have failed in the past is that they've either tried to turn it into a deterministic set of tasks, which then just feels like another to-do list, another inbox in a series of to-do lists and inboxes that you have in your life that just make you feel guilty and inadequate. That doesn't seem fun to us. We don't think you need another one of those. Or other places we've seen this fall down, which is that it takes the current sort of state of AI and tries to actually do the deterministic thing for you, but it doesn't do a good enough job right now. But where we've kind of landed in the middle is that, again, what we're trying to solve for is solvable in a way more probabilistic way. Like, can we get more of this accomplished more easily for you? It's never going to, like, completely, you know, do the task in this perfect deterministic way. But it is going to make you feel more confident and more relaxed à la Booklet, it sounds like, how to do that for this particular problem, which is a different bar and one we think we can clear. And that really does provide value. People are really longing for this. LINDSEY: Jordyn and Josh, building on those descriptions of, like, kind of maybe bad AI use case, good AI use case, could you give some specific examples of, like, what that might look like for Knect, like, how AI could be used in a good way or maybe what you're trying to avoid, more specifically? JOSH: Yeah. First, I'm going to start with what I want to avoid, which is, there are tools out there, and these may be interesting to some people listening, and if so, go find them. Good luck. But there are tools out there that say things like, "Keep in touch with your network at scale." And will use AI to write a message which you can send out to people without you ever having to, like, review it. That seems like creepy, futuristic sort of, you know, there's, like, a Black Mirror episode about that. Like, the whole point of having, like, a professional network of people who you care about is actually interacting with them. And having some service, like, write some prompt, maybe in its own voice, maybe if it's really good in your voice to, like, let them know that you care about them, let them know that you're thinking about them is, like, that's just bad. I think that's bad. And we don't have any plans to do that kind of thing, even though most uses for AI in the products that I use are writing three or four paragraphs in response to, like, a prompt. So, certainly, that's the common use case. It's not very appealing to us, and, frankly, in the people we were talking to, that wasn't one of the things that anybody ever suggested. It's obvious, but as far as we can tell, uninteresting, right? Just because it's obvious and just because it's straightforward doesn't mean it's interesting. The things we're imagining, for example, is, talk about Jordyn. Jordyn and I have known each other since 2020, I think. And we have, like, a whole history of text messages going back and forth, which, by the way, we actually could integrate because we both have Android phones, you know, shout-out for Open Internet. It might be interesting to, you know, summarize some of that, like, I know Jordyn pretty well, but other people who I might have not talked with in a while, sure, you could present me with a whole timeline of our communication. But that isn't necessarily useful. I'll have to read every bit of it. Why not, like, take all that and summarize, here's things you guys talk about. Here's things that, like, prompted your past few conversations: job change, got laid off, started a company, got a cat. Whatever those topics happen to be like, share some of those things. Bring me up to speed a little bit faster without having to literally review every word that could have been going back multiple years. That's a pretty good use of it. If you think about the way that messages work, right? Like, my kids are now at the age where they have phones, and I can now text my kids during the day. I will just tell you, like, this is, like, an incredibly joyful thing for me to be able to send, like, stupid memes to my kids or, like, what's exactly the right emoji to, like, send to them or for them to send to me. If every one of these things were, like, pushed to some kind of timeline, and I'm like, "What's going on with my kids?" Like, that's just, like, going back and reading through, like, your WhatsApp thread, which is something that isn't interesting necessarily, at least not from, like, a professional perspective. And there's, like, thousands of these things. Like, why do I want, like, a record in my, like, database of people who I talk to that says, "OMG," or "K," or "lol," or those sorts of things? Like, that's, like, a phrase. It isn't a conversation. And we could use an LLM to go summarize what the conversation was all about, which is, by the way, a way more interesting thing to persist over time than, like, my daughter typing "JK, JK, JK," which I think is 15-year-old for laughing at me, but I'm not entirely sure. LINDSEY: [laughs] Okay, so as you are...you mentioned wrapping up, and you did your last meeting, and you've got your kind of takeaway docs. You know, one, I'm curious, like, if there's, for your last, you know, days, hours of the program, if there's any final morsels you're trying to get out of it, and then how that kind of leads you into, like, what's next. What are you planning? JOSH: Let's do another one of these things in two weeks. [laughter] LINDSEY: Oh, okay. JOSH: Yeah. I'm inviting myself back on your show. We have one more day of school then, like so many folks, we get in a plane or get in a car and go do some travel and try to disconnect a little bit from our professional networks. So, I'm consciously not trying to say what's going to happen next. I would love to have this conversation again, maybe in two weeks, in the new year, about what comes next. I don't know that I could have a meaningful one right now. JORDYN: I will say what we are trying to send Josh off with into his R&R is what's it going to take to get to a viable MVP, not merely viable, but actually viable? Given what we know, given all this, you know, work that we've done in the last eight weeks, we now have, you know, the ability to envision what version one of something might be. And so, making that kind of argument: here's why it is what we're imagining it to be; here's what it is; here's what it would take to build that thing, gives Josh a lot of stuff to think about in the meantime in terms of how to accomplish that. And the thing that will happen in two weeks is understanding a little bit more about, like, the actual, okay, here's the actual plan. But the ingredients are there, which is super valuable and is a thing we have done every time at the end of every incubator we've done. It's essentially a...it is that what's next plan and why, why that thing. What's the ultimate upside of pursuing this product, and what's the near-term upside? And what's it going to take to get there? Because that's often a thing that founders, especially for some founders, which Josh is not, but what they often can't get their heads around is there's this little feeling if you've got this big vision over here, and you've got, like, the set of things you could do tomorrow, really tasky things really, like, operational things, oh, I need to, like, set up a C Corp, but I need to...whatever those things are, right? What's in between? What's that near-term path that's going to directionally head in the direction of that big vision? It's, so far, always, what we have sent founders off with. LINDSEY: So, if you weren't here at the very beginning of our session, we mentioned that the applications are now open for session 1 of 2024. I'm curious, Josh, what kind of founders would you recommend for the thoughtbot incubator? What's the profile of someone you might send our way? JOSH: I'm going to say something, and I don't think I match that profile, which is interesting, and folks should think about that, what that means. But I would say that if I had to, like, pick a profile, having gone through this, I would say somebody with an idea, of course; ideally, it's one that they have some connection to. They have some personal passion for but, not just because it's an abstract idea but a personal passion that comes from their own experience. And it's really great for somebody who hasn't been inside of a tech company before, at least on the tech, half the business. Tech companies have three halves: one half is, you know, the product building side of bit of it or the tech half, which is engineers, and product designers, and product managers. And the other half of that is the go-to-market side, like sales, and marketing, and customer success. And the third half would be, like, operations like HR and finance. So, if you have experience in, like, the sales, or the marketing, or the customer success side, or the HR, or the finance, or corporate operations or that part of it, and, you know, you're familiar with tech coming from that perspective but maybe haven't been on the actually building stuff side of them before, this is a really, really good process. Because what does thoughtbot do? It does the building in tech side of things: designers, product managers, and especially engineers. And it has this, like, legacy and this history and expertise, therefore, with, like, the journeyman program where they help, like, level people up in those areas and now are applying this to founders. Because as the founder, you do need to develop some ability to converse around engineering and technical stuff. And you really, really, really, really need to get good at the discovery side, especially of, like, product design and product management. And those are the things you're going to get to do and you're going to get to do with people who are themselves really, really good at it. And that's awesome. The flip side is if you're, you know, a founder who is super attached to every bit of your vision, and you think you have the strategy all laid out and you're just looking for, like, warm bodies to build it, I mean, is it the insight team? What's the right level at thoughtbot? I forget the names of things, but, like, thoughtbot has, like, a startup program where you can give thoughtbot money, and they will build things for you. And they're also really, really good at that, but that's not the incubator program. The incubator program is probably a step earlier. So, I think it is worth thinking, are you at the I'm so confident of my vision; I'm so confident in my strategy that I just want to get this thing built, then maybe don't sign up for the Incubator. But if you're at the stage of I think this is a problem; I'm pretty sure this is a problem; I really want it to get solved; I have some vision, but I know it's going to change, then I think the incubator is really ideal, especially if you're looking to upskill yourself, too, because you're going to walk away with the ability to be conversant around the technology stuff. And you're going to walk away with a crap ton of experience with the discovery, qualitative discovery, like user interviews, quantitative discovery, like, you know, running ads, and landing pages, and all that stuff. Like, you're going to be really solid with that stuff after eight weeks because you will have done it. LINDSEY: Jordyn, any thoughts? JORDYN: I love all that. I think it's accurate. I would only say to those of you sitting out there who are thinking, I'm in that other camp; I'm very confident about what it is I want to build; I would ask you to do a little soul-searching as to whether that's actually true. Like, what evidence do you have? If you needed to stand up in court and defend your conclusions and your vision, could you? And I say that as the person who, as a first-time founder, was deluded in that way. I thought I knew exactly what I was doing and for whom and why. And, boy, howdy, could I have used a program like this to actually get me to sit down and, like, talk to people, listen to them, figure out what was valuable and what wasn't, what a valuable, you know, initial market offering was going to be like. Ah, I wish really, really badly that I'd had something like this because I was pretty deluded. I don't even know, like, what the right word is. I just didn't know what I didn't know. So, like the way you described it, Josh, I know Jordyn of 2017 would have been like, "That's me. I know this thing that I need to do. LINDSEY: [laughs] JORDYN: So, I don't need to apply to this program because I don't need to do any of that discovery work." But I was wrong [laughs]. I was absolutely wrong. I was wrong to the tune of, you know, two years and $150,000 of angel investment. So, consider, it is not idly that I say this to you, person sitting out there who feels very confident in your vision right now. Perhaps you have done all those things already; in that case, [inaudible 33:43] you don't need this. And you just need to [inaudible 33:46] with the thing you already know to be true. But ask yourself, how do you know what you know? LINDSEY: Yeah, even if you...we can help you build the thing. But we're probably, also, still going to push you on [laughs] some of those things we [crosstalk 34:01]. JORDYN: Yeah, we're still going to ask. We're going to ask to see the receipts. LINDSEY: Yeah [laughs]. JORDYN: And maybe you have the receipts, which is great, but we're still going to ask you for them, I guess, is my point. Every team at thoughtbot will ask you for the receipts, by the way, not just mine [laughs]. LINDSEY: The other interesting thing you touched on, Josh, was, I think, where we kind of started the incubator was with that target profile that you just described, which is, like, the less technical founder, and maybe even, like, a first-time founder. And then over time and seeing, like, applications, we broadened that as we saw, like, oh, you know, actually, also, technical founders and repeat founders do still need, like, help with this and can use guidance. So, we've expanded a bit, and maybe that is still, like, the person who gets the most value at the end of the day is the non-technical who hasn't really done this before. But yeah, we've kind of expanded to those other profiles as well. JOSH: There's a reason that repeat founders are no more successful on average than first-time founders, and it's something really important that Jordyn said, which is, you may think you've done all this, but we're going to ask you for the receipts. Just because you've done this before doesn't mean you're going to be good at it. Chances are, if you've done this before, it's mostly because you got really, really lucky; ask me how I know. So, it's nice to have. I mean, I described a profile, and I said that wasn't me. But I'll just tell you, as somebody who, like, spent his entire career, almost his entire career, in the tech side of tech companies, and I think I'm pretty good at it, I'm certainly not the worst at it, thinks I'm pretty good at it, it's still really nice to have a team backing you up in this early moment. It's really nice to have a team. JORDYN: Yeah, I will say another thing that we've heard from every founder we've worked with is just how much more real and actionable their idea feels when they have a team sitting there with them taking them seriously, which is another thing, you know, I really would have benefited from is, like, suddenly, when you've got three or more industry professionals sitting there in a Zoom call with you, like, okay, what are we doing? Why are we doing this? How do we know? The feeling of being taken seriously in that way and then having a bunch of people working full-time with you for eight weeks, they're in it with you; they're asking the questions; they're talking to people; they're coming back and saying, "I just had the most amazing conversation with someone. Here's what I learned," it just takes your project to a different level of reality. Like, we're humans. We're social beings. We create reality together. And when you're working alone, you know, through force of will, you can do a lot, but with a group, it really feels like you're creating something together. And, like Josh said, having those other brains with other experiences in other contexts percolating on your idea it's like bringing a team to bear on something. There's just nothing quite like it, and it's a huge value of the program. Like, we can give you the programming and, in fact, you can go run the programming. It is published in our handbook. The things that we do together you can go do, but it is a whole other matter to do them with a team. It just feels different. LINDSEY: Great. Well, I think that's where we're going to end today. I mean, Josh is leaving us hanging a little bit. So, we might need to...we're going to figure out a way to get your final thoughts, conclusions in a few weeks because I know everyone would love to hear what the plan is for Knect. Josh and Jordyn, as always, thank you so much. Any final thoughts or farewells from you today? JOSH: I've really enjoyed it. I'm going to miss these folks. Though, apparently, I get to hang out in a special Slack channel forever. LINDSEY: Yeah, you get to hang out. JOSH: Which is nice. LINDSEY: Exactly. You can't get rid of us just yet. JOSH: Good. I wouldn't want to. LINDSEY: All right. Thanks, y'all. And thanks, everyone, for tuning in. Special Guest: Josh Herzig-Marx .

Join me as we dive into the realm of sensory evolution with OpenAI's latest update to ChatGPT, unpacking how the model now possesses the abilities to see, hear, and speak. In this episode, we discuss the implications of this revolutionary advancement in the landscape of conversational artificial intelligence. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: https://AIBox.ai/ AI Facebook Community Learn About ChatGPT Learn About AI at Tesla

Join us as we learn about new, groundbreaking AI technology such as OpenAI's ChatGPT. We'll talk about the origin of these technologies, how Large Language Models (LLM) and machine learning work, and how you might use them in your everyday life!

In this episode, we explore the groundbreaking updates as OpenAI transforms ChatGPT into a multi-sensory powerhouse, delving into how the model has evolved to not only generate text but also see, hear, and speak, marking a significant stride in the capabilities of conversational AI. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: https://AIBox.ai/ AI Facebook Community Learn About ChatGPT Learn About AI at Tesla

00:09 | Circle (USDC) to IPO- Circle offers the USDC stablecoin with a $25b market cap- company was to go public via SPAC in 2021 but deal fell apart- last round was $9.0b in Feb 2022- good timing for IPO with bitcoin ETFs launching this week01:13 | Rabbit large action model hits- Rabbit R1 is an AI first personal device that could replace your iPhone- Rabbit sold out of R1's on first day of offering; 10,000 units (goal was 500)- the Rabbit OS leverages a large language model (LLM), similar to OpenAI's ChatGPT, and a large action model (LAM)- LAM's use AI to take action for you vs just give you information like a LLM does- Rabbit Teach allows users to train the LAM to take actions on the internet or in apps, no coding required, similar to recording an Excel macro- in the future, users will be able to sell their Teach models to other users and receive a fee- Rabbit has raised $36m, Khosla Ventures led their Series A that closed in Dec 202303:27 | OpenAI GPT Store launches - GPT Store is an app marketplace available to subscribers of ChatGPT Plus and higher-tier business plans- platform enables developers and users to create and publish custom ChatGPT applications, or 'GPTs', similar to apps on you iPhone- 3 million custom versions of ChatGPT have been created since Nov 2023- OpenAI plans to share revenue with GPT app developers in the future04:56 | Klarna replaces jobs with AI- CEO Sebastian Siemiatkowski announced Klarna is under a hiring freeze- company is not hiring new employees but replacing them with AI- Klarna has a $7.1b valuation in the secondary market up 5.2% from its last round06:20 | Anthropic raises capital with VCs/SPVs vs investment bankers- Menlo Partners, a Silicon Valley VC, is using a SPV to raise capital for Anthropic's $750m capital raise- VC-backed startups are using the VCs on their cap tables to go out and raise capital from the market vs using investment bankers like Goldman or Morgan in an increasingly frequent trend- VCs stand up special purpose vehicles, or SPVs, raise capital for a specific company directly from pension, endowment, foundations, and individual wealth families.- what's interesting about this … instead of the company paying an investment bank a typical 6% fee on the raise the VCs charge their LPs a one-time upfront fee, annual management fee, carry or some combination of those08:28 | Discord lays off 17%- 170 employees impacted- 40 employees were laid off in Aug 2023- Discord has a $5b implied valuation in the secondary market down 65% from its last primary round in Sep 202109:23 | Pre-IPO -1.11% for week- Week winners: Databricks +3.35%, Neuralink +3.12%, Discord +2.06%, SpaceX +1.33%, Brex +0.53%- Week losers: Anthropic -14.60%, Hugging Face -7.71%, OpenAI -5.10%, Canva -4.60%, Klarna -4.22%- Top valuations: ByteDance $191b (current buyback at $268b), SpaceX $176b (current tender at $180b), OpenAI $68b (current primary round at $95b), Stripe $54b, Databricks $48b lead in current valuation

What if every learner on the planet had access to a world-class education? This week's guest has an impressive track record of using technology to make that dream a reality. Sal Khan is the founder and CEO of Khan Academy, an education nonprofit whose pioneering digital tools support K-12 students everywhere, along with parents, teachers, and school districts. In this episode, Sal discusses how technology widens access to education and creates more meaningful learning experiences. He also shares his experience helping train Chat-GPT and speaks to why, 15 years after launching Khan Academy, he has decided to go all in on AI. Plus, a special guest joins the podcast to demo Khan Academy's new AI chatbot tutor, Khanmigo.  Read the transcript of this episode here. For more info on the podcast and transcripts of all of the episodes, visit www.possible.fm/podcast. Topics: 5:26 - Hellos and intros  7:51 - What has changed in education technology in the past 15 years 13:24 - Khan Academy's new AI guide, Khanmigo 18:59 - Khanmigo demonstration 21:37 - How teachers can incorporate AI into their classrooms 29:15 - AI in the classroom in North Ward, Newark, NJ 33:13 - How to make remote learning engaging 37:01 - How education technology in the U.S. compares to other countries  42:43 - How the use of AI in the classroom will expand in the future 47:28 - Rapidfire questions The award-winning Possible podcast is back with a new season that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future.  This season, hosts Reid Hoffman and Aria Finger are speaking with a new set of ambitious builders and deep thinkers about everything from art to geopolitics and from healthcare to education. These conversations also showcase another kind of guest: AI. Whether it's Inflection's Pi, OpenAI's ChatGPT or other AI tools, each episode will use AI to enhance and advance our discussion.  Possible is produced by Wonder Media Network and hosted by Reid Hoffman and Aria Finger. Our showrunner is Shaun Young. Possible is produced by Edie Allard, Sara Schleede, and Paloma Moreno Jiménez. Jenny Kaplan is our executive Producer and editor. Special thanks to Katie Sanders, Surya Yalamanchili, Saida Sapieva, Ian Alas, Greg Beato, Ben Relles, Stacey Olson, and Little Monster Media Company. 

In this episode, we dive into the unveiling of ChatGPT Enterprise by OpenAI, featuring GPT4's boundless capabilities, enhanced analytics, and robust security measures, revolutionizing enterprise-level conversational AI. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: https://AIBox.ai/ AI Facebook Community

Explore the looming challenge between Elon Musk, the FTC, and OpenAI's ChatGPT, analyzing the speculated contest and its potential impact. Join us as we unravel the potential hurdles in AI's path. Get on the AI Box Waitlist: https://AIBox.ai/ Join our ChatGPT Community: ⁠https://www.facebook.com/groups/739308654562189/⁠ Follow me on Twitter: ⁠https://twitter.com/jaeden_ai⁠

In this episode, I dive into the upgraded features of ChatGPT and the significant move by OpenAI to trademark GPT-5, exploring its potential implications and enhancements. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: https://AIBox.ai/ AI Facebook Community

Delve into the speculated clash involving Elon Musk, the FTC, and OpenAI's ChatGPT, exploring the anticipated confrontation and its potential impact on AI. Join us as we analyze this speculated conflict. Get on the AI Box Waitlist: https://AIBox.ai/ Join our ChatGPT Community: ⁠https://www.facebook.com/groups/739308654562189/⁠ Follow me on Twitter: ⁠https://twitter.com/jaeden_ai⁠

What would it look like to build coalitions to disrupt poverty, pollution, and the prison system? This week's guest received a $100 million grant to do just that. Van Jones is a CNN host, New-York-Times-bestselling author, and the co-founder of multiple social enterprises to address issues of criminal justice, climate change, and social equity. Aria and Reid spoke with Van about what it will take to rethink our social systems and build fair, balanced coalitions for change. How can we disrupt the profit-driven prison system? How can underserved communities better contribute their talent and resources? And how can we change our news, media, and even sci-fi comic books to reflect a better future? Read the transcript of this episode here. For more info on the podcast and transcripts of all of the episodes, visit www.possible.fm/podcast. Topics: 04:35 - Hellos, intros, and Van's comic book ideas 09:00 - Make Wakanda Real and plans for change 12:12 - How to build a coalition for change 17:15 - How to build trust with vulnerable people 20:31 - Bringing people with power and purpose together 21:15 - Using the Bezos grant to disrupt poverty and the prison industry 27:29 - How organizations like Codepath make change 31:09 - What does addressing climate change look like 37:07 - What is the role of media for change 40:00 - How might AI change media? 42:41 - How to address political division 48:55 - Rapidfire questions The award-winning Possible podcast is back with a new season that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future.  This season, hosts Reid Hoffman and Aria Finger, are speaking with a new set of ambitious builders and deep thinkers about everything from art to geopolitics and from healthcare to education. These conversations also showcase another kind of guest: AI. Whether it's Inflection's Pi, OpenAI's ChatGPT or other AI tools, each episode will use AI to enhance and advance our discussion.  Possible is produced by Wonder Media Network and hosted by Reid Hoffman and Aria Finger. Our showrunner is Shaun Young. Possible is produced by Edie Allard, Sara Schleede, and Paloma Moreno Jiménez. Jenny Kaplan is our executive producer and editor. Special thanks to Katie Sanders, Surya Yalamanchili, Saida Sapieva, Ian Alas, Greg Beato, Ben Relles, Rae Steward, Gus Alexander, Andi Lichtenfeld, Belicia Montgomery, Kalia Lydgate, Didier Morais, Chantel Muentes, Felicia Shand, and Little Monster Media Company.

*) Russia calls for end to historic injustices endured by Palestine Russia has said the outbreak of conflict in the Middle East is a result of the longstanding failures of US foreign policy and called for the establishment of an independent Palestinian state. Russian Foreign Minister Sergey Lavrov called for de-escalation of the Middle East conflict, denouncing as "unacceptable" both acts of terror and "collective punishment". *) US proposes G7 explore ways to seize $300B in Russian assets The Financial Times has reported that the United States proposed that working groups from G7 countries explore ways to seize 300 billion dollars in frozen Russian assets. The US, backed by the UK, Japan and Canada, proposed moving forward with preparatory work so that options would be ready for G7 leaders to consider at a potential meeting around February 24. *) High-level talks between US and Mexico in effort to end migrant crisis A US delegation has met with Mexican President Andres Manuel Lopez Obrador to discuss the unprecedented flow of irregular migration on the border between their two countries and to identify ways to address challenges to border security. Mexican Secretary of Foreign Affairs Alicia Barcena welcomed the US top officials ahead of their meeting with Lopez-Obrador and the Mexican Security Cabinet. Barcena noted the US government did not request changes in the country's current immigration policy or strengthening security measures. *) Gas tanker blast in Liberia kills dozens, many injured At least 40 people have died following the explosion of a gas tanker in north-central Liberia, the West African country's chief medical officer, Francis Kateh has said. The fuel truck crashed late on Tuesday in Totota, Lower Bong County, and soon after exploded, killing and injuring many who had flocked to the scene. Dozens of people are still in hospital with serious burns, and the death toll could rise. *) New York Times sues OpenAI, Microsoft over chatbot training The New York Times struck back against the threat that artificial intelligence poses to the news industry, filing a federal lawsuit against OpenAI and Microsoft seeking to end the practice of using its stories to train chatbots. The Times says the companies are threatening its livelihood by effectively stealing billions of dollars worth of work by its journalists, in some cases spitting out Times' material verbatim to people who seek answers from generative AI like OpenAI's ChatGPT.

Are generative AI systems such as OpenAI's ChatGPT really intelligent? Large language models such as GPT 4 appear to use human-level cognitive abilities when they engage in legal reasoning, write essays or solve complex problems. Hosts John Thornhill and Madhumita Murgia speak to Emily Bender, professor of computational linguistics at the University of Washington, to find out what's really happening under the hood, and also hear from Pablo Arredondo of CaseText, which develops AI tools for lawyers; influential computer scientist Melanie Mitchell, professor at the Santa Fe Institute, and Konstantin Arkoudas, an AI expert who's worked on Amazon's Alexa. Free links:OpenAI set to launch store as ChatGPT reaches 100mn usersHow to keep the lid on the Pandora's box of AIWe need a political Alan Turing to design AI safeguards‘I've never seen anything like this': how OpenAI's dramatic weekend unfoldedTech Tonic is presented by Madhumita Murgia and John Thornhill. Senior producer is Edwin Lane and the producer is Josh Gabert-Doyon. Executive producer is Manuela Saragosa. Sound design by Breen Turner and Samantha Giovinco. Original music by Metaphor Music. The FT's head of audio is Cheryl Brumley.Read a transcript of this episode on FT.com Hosted on Acast. See acast.com/privacy for more information.

This Day in Legal History: The Establishment of the World BankOn December 27, 1944, in the midst of a world ravaged by the Second World War, a landmark event in the history of international finance took place at the United Nations Monetary and Financial Conference in Bretton Woods, New Hampshire, USA. On this day, the World Bank was established, marking a new era in global economic cooperation and development. The creation of the World Bank, also known as the International Bank for Reconstruction and Development (IBRD), was a direct response to the need for a robust plan to rebuild war-torn nations and stabilize the global economy.The World Bank's founding principles were centered on providing financial and technical assistance to developing countries. This move was seen as crucial for promoting international economic stability and fostering global peace. The bank initially focused on reconstructing European countries devastated by the war, but its role quickly expanded to include development projects in many other regions of the world.The establishment of the World Bank was a significant achievement in international diplomacy. It represented a collective understanding among nations that economic stability was paramount to preventing future conflicts. The Bretton Woods Conference, which also led to the creation of the International Monetary Fund (IMF), was instrumental in laying the groundwork for this new financial order.The World Bank's operations have evolved over the years, focusing on various issues such as poverty reduction, infrastructure development, environmental sustainability, and education. Its approach has shifted from merely providing loans for physical reconstruction to addressing broader developmental challenges. The bank works closely with member countries and other international institutions to deliver its programs, emphasizing the importance of sustainable development.This day in 1944 was not just about the formation of an institution; it marked a fundamental change in how the world viewed economic recovery and development. The World Bank's creation was a testament to the power of collective action and international cooperation in tackling global challenges. Today, the legacy of this event continues to influence global economic policies and the way nations collaborate, or don't, for a more prosperous and equitable world, or not.Starting January 1, tens of millions of companies in the U.S. will be required to report their beneficial ownership to the Treasury Department, a measure aimed at curbing money laundering, terrorism financing, and other global crimes. However, as the deadline approaches, many of these companies, particularly smaller ones, remain unaware or unprepared for the new regulations. The American Bus Association and other business groups have expressed concern over the lack of awareness and readiness among their members.The Financial Crimes Enforcement Network (FinCEN) is tasked with collecting this information and has been actively trying to raise awareness among businesses. The new rules, part of the 2021 Corporate Transparency Act, mandate companies to disclose owners' names, addresses, birth dates, and identification numbers. The data will be stored securely and made available to law enforcement and foreign governments under certain conditions.While existing companies have until the end of 2024 to comply, new companies formed in 2024 will have 90 days, and those established in 2025 or later will only have 30 days. FinCEN's outreach includes informational sessions, guides, and FAQs, but challenges in awareness and comprehension persist. Some businesses are consulting professionals to understand and meet the requirements, while others, including the National Small Business Association, are legally challenging the new rules.Concerns about the complexity, cost, and time required for compliance are widespread, especially among businesses with intricate corporate structures. FinCEN estimates that for most companies with simple structures, initial reporting could take about 90 minutes and cost around $85. However, the situation is more complex for businesses with multiple stakeholders or operations across states.The enforcement of these rules is another area of concern, with businesses hoping for leniency in the initial stages, especially for non-compliance due to lack of awareness. Penalties for willful non-compliance include significant fines and possible prison terms. FinCEN plans to continue its outreach efforts into 2024 and believes awareness will grow over time.Companies Scramble to Get Ready As New Owner-Info Rules Draw NearIn 2023, U.S. courts faced challenges with the rising use of generative artificial intelligence (AI) tools like OpenAI's ChatGPT, particularly after incidents where lawyers submitted legal briefs containing fictitious AI-generated case citations. Experts predict an even greater impact from generative AI on the legal industry in 2024 and beyond. Several U.S. judges have begun to address the use of AI in courtrooms, with some issuing orders to regulate its application in legal proceedings.Two New York lawyers faced sanctions for filing a brief with fake AI-generated citations, and a Colorado lawyer was suspended for a similar issue. Judges have been clear that misunderstanding the technology is not a valid excuse for its misuse. Orders regarding AI use in courtrooms vary, ranging from educational to outright prohibitions, with most requiring disclosure or verification of AI-generated information.The U.S. District Court for the Eastern District of Texas implemented a rule for lawyers to review and verify computer-generated content. The 5th U.S. Circuit Court of Appeals is also considering a certification requirement for the use of AI. Bar associations, including the American Bar Association and state bars like California and Florida, are assessing the ethical implications of AI in legal practice.Andrew Perlman, dean of Suffolk University Law School, warns that explicit rules on AI use may be ill-advised due to existing professional conduct rules and potential confusion. He notes that lawyers often use AI without realizing it and believes generative AI will be the most transformative technology in the legal profession.Wary courts confront AI pitfalls as 2024 promises | ReutersAI's Thorny Copyright Questions Create International PatchworkApple Inc. has appealed a U.S. decision to ban imports of certain models of its Apple Watch, following a complaint from Masimo, a medical monitoring technology company. The ban, upheld by the U.S. International Trade Commission (ITC) and not vetoed by President Joe Biden's administration, targets Apple Watches featuring blood-oxygen level reading technology. This technology, according to Masimo, was developed using stolen pulse oximetry technology and incorporated into Apple Watches starting with the Series 6 model in 2020.Apple also filed an emergency request with the U.S. Court of Appeals for the Federal Circuit to pause the ban, at least until the U.S. Customs and Border Protection decides on the patent infringement issue regarding redesigned versions of the watches. The decision on this matter is expected on January 12. Despite the ITC's order, Apple Watches Series 9 and Ultra 2 remain available through other retailers like Amazon, Best Buy, and Walmart.Masimo views the ITC decision as an affirmation of the integrity of the U.S. patent system. Legal experts note that while such disputes are often settled, Apple may be looking to design around the patents or remove the infringing feature. Apple has suspended sales of its Series 9 and Ultra 2 smartwatches in the U.S., but the ban does not affect the Apple Watch SE model.The legal battle also includes a mistrial in a California federal court on Masimo's allegations and Apple's separate lawsuit against Masimo in Delaware. The last time a presidential administration vetoed an ITC ruling was in 2013 in a patent dispute involving Apple and Samsung. The Biden administration previously chose not to veto a separate import ban on Apple Watches based on a patent complaint from AliveCor, although the ITC has put this ban on hold for other reasons. Apple's wearables, home, and accessory business, including the Apple Watch, generated $8.28 billion in revenue in the third quarter of 2023.Apple files appeal after Biden administration allows US ban on watch imports | Reuters Get full access to Minimum Competence - Daily Legal News Podcast at www.minimumcomp.com/subscribe

In this episode, we journey through the history of OpenAI's ChatGPT, exploring its inception, milestones, and the evolution that led to its current iteration. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: https://AIBox.ai/ AI Facebook Community

OpenAI's ChatGPT took the world by storm last year and catapulted us into the race for AGI or an AI Superintelligence. But after OpenAI suddenly and mysteriously fired and then rehired its CEO, Sam Altman, last month, many have begun to speculate, is it already here? Did Sam Altman already create a digital god behind the doors of OpenAI? ---------- Support the show and get bonus UNHINGED episodes ----------ROKFIN - https://www.rokfin.com/ConspiracyPilledLOCALS - https://conspiracypilled.locals.com/ODYSEE - https://odysee.com/@conspiracypilled:1 MERCH - https://hawkhoundmedia.com/conspiracyJoin the DISCORD - https://discord.gg/vq2QtU2bUh ---------- SPONSORS ----------NORTH ARROW COFFEE - https://northarrowcoffee.coUse code CONSPIRACY10 to get 10% off your order!HEALTYCELL https://healthycell.comUse code CONSPIRACY for 20% offL&J Turkey Farms https://www.landjturkeyfarms.com/Pasture to plate turkey that is GMO free! Conspiracy Pilled Links – https://conspiracypilled.com ------- FOLLOW THE HOSTS ------- Abby – https://solo.to/abbylibbyPJ – https://solo.to/pj_unhinged Music by : Drake Campos #chatgpt #openai #elonmusk

What does it look like to build true access with technology? Phaedra Ellis-Lamkins, CEO and co-founder of Promise, is creating that reality. She sat down with Reid and Aria to discuss how her company is revolutionizing the way people receive welfare in its client states. By leveraging data, questioning preconceived assumptions, and focusing on eliminating bias, Promise has become a model for socially conscious business. This people-first mindset runs so deep that Promise employees personally call clients to apologize for mistakes. Phaedra also uses her high-level view of social systems and business to consider how AI could close access gaps and improve life for the most marginalized. Read the Atlantic article referenced by Phaedra here. Read the transcript of this episode here. For more info on the podcast and transcripts of all of the episodes, visit www.possible.fm/podcast. Topics: 06:24 - Hellos, intros, and a story about Prince 08:41 - How Promise resonated with investors 11:40 - What makes applying for welfare so hard? 13:54 - How Promise uses data for social good 15:40 - Why we should talk about bail reform 17:28 - Why there's more money in enforcement than welfare 19:27 - How to work toward the ideal welfare system with technology 21:11 - Is Promise considering AI in the context of welfare reform? 25:48 - Pi weighs in on Black maternal healthcare inequity 27:03 - How can we center empathy and address bias in technology design? 33:33 - What AI companies can do to create products for more people 36:22 - How to get people onboard the movement: the Prince secret 38:36 - How to build more companies like Promise 40:25 - Rapidfire questions The award-winning Possible podcast is back with a new season that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future.  This season, hosts Reid Hoffman and Aria Finger, are speaking with a new set of ambitious builders and deep thinkers about everything from art to geopolitics and from healthcare to education. These conversations also showcase another kind of guest: AI. Whether it's Inflection's Pi, OpenAI's ChatGPT or other AI tools, each episode will use AI to enhance and advance our discussion.  Possible is produced by Wonder Media Network and hosted by Reid Hoffman and Aria Finger. Our showrunner is Shaun Young. Possible is produced by Edie Allard, Sara Schleede, and Paloma Moreno Jiménez. Jenny Kaplan is our Executive Producer and Editor. Special thanks to Surya Yalamanchili, Saida Sapieva, Ian Alas, Greg Beato, Ben Relles, Pure Dalisay, Melanie Jones, and Little Monster Media Company.

The Space News Podcast.SpaceTime Series 26 Episode 151*Discovery of a record setting brown dwarf Astronomers have discovered what might be the smallest Brown Dwarf ever seen – just three or four times the mass of Jupiter.*How gas-rich baby galaxies set the early Universe alight New observations from NASA's Webb Space Telescope have helped astronomers unlock secrets of how infant galaxies started an explosion of star formation in the very early Universe.*Hubble Space Telescope back in operation NASA says the Hubble Space Telescope is back up and running following a series of emergency shut downs in recent weeks due to a persistent problem with one of its three operational gyroscopes.*The Science ReportThe North Atlantic Ocean near Bermuda now warmer and more acidic than it was 40 years ago, OpenAI's ChatGPT-4 Artificial intelligence successfully lied its way through the I am not a robot test. How to make a better espresso. Skeptics guide to antiaging serum therapyThis week's guests include: Dr Anshu Gupta from ASTRO 3D and the Curtin University node of the International Centre for Radio Astronomy Research NASA JPL scientist Ryan Park And our regular guests: Alex Zaharov-Reutt from techadvice.life Tim Mendham from Australian SkepticsListen to SpaceTime on your favorite podcast app with our universal listen link: https://spacetimewithstuartgary.com/listen and access show links via https://linktr.ee/biteszHQ Additionally, listeners can support the podcast and gain access to bonus content by becoming a SpaceTime crew member through www.bitesz.supercast.com or through premium versions on Spotify and Apple Podcasts. Details on our website at https://spacetimewithstuartgary.com For more SpaceTime and show links: https://linktr.ee/biteszHQYour support is needed... **Support SpaceTime with Stuart Gary: Be Part of Our Cosmic Journey!** SpaceTime is fueled by passion, not big corporations or grants. We're on a mission to become 100% listener-supported, allowing us to focus solely on bringing you riveting space stories without the interruption of ads.

How can humanities and the arts flourish as artificial intelligence continues to grow and evolve? Contemporary artist Sarah Sze joins the podcast to talk about the relationship between art and technology. Reid, Aria, and Sarah discuss her recent exhibit at the Guggenheim Museum in New York City, the relationship between the physical and the digital, and the importance of taking art off its pedestal. Plus, Sarah takes a look at AI-generated art inspired by her body of work and offers her thoughts on AI, art, and ownership.  Read the transcript of this episode here. View AI-generated art in the style of Sarah Sze here. For more info on the podcast and transcripts of all of the episodes, visit www.possible.fm/podcast.    Learn about Sarah's spring 2023 Guggenheim exhibition, Timelapse, here. Topics: Intros and hellos - 4:21 9:28 - Dichotomies: physical vs. digital and chaos vs. order 11:54 - How AI impacts the intrinsic value of objects 14:54 - Does AI democratize art? 16:55 - Can AI exhibit creativity? 24:35 - Sarah reacts to AI-art inspired by her work 29:44 - How AI can enhance an artist's work 34:56 - How Sarah incorporates the digital into her art 38:47 - What different mediums do best 41:49 - How technology has previously transformed art 44:10 - Where Sarah's work is headed  48:31 - Rapidfire questions The award-winning Possible podcast is back with a new season that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future.  This season, hosts Reid Hoffman and Aria Finger, are speaking with a new set of ambitious builders and deep thinkers about everything from art to geopolitics and from healthcare to education. These conversations also showcase another kind of guest: AI. Whether it's Inflection's Pi, OpenAI's ChatGPT or other AI tools, each episode will use AI to enhance and advance our discussion.  Possible is produced by Wonder Media Network and hosted by Reid Hoffman and Aria Finger. Our showrunner is Shaun Young. Possible is produced by Edie Allard, Sara Schleede, and Paloma Moreno Jiménez. Jenny Kaplan is our Executive Producer and Editor. Special thanks to Surya Yalamanchili, Saida Sapieva, Ian Alas, Greg Beato, Ben Relles, Christin Graham, and Little Monster Media Company.

In this episode of the podcast, we cover three important tech news updates. First, Google has unveiled its new AI software called Gemini, which claims to outperform OpenAI's ChatGPT in math, coding, and reasoning tasks. Gemini is a large language model trained on billions of internet images and sentences and is integrated with Google's Bard chatbot. It will be integrated into various Google services and products, starting with the Pixel 8 Pro smartphone. Second, a recent report reveals that only 7% of MSPs have research-backed pricing strategies, highlighting the need for better pricing strategies in the industry. Lastly, we discuss how read AI's large meeting models are improving meeting efficiency with AI technology. Stay tuned for more updates on the business of tech.Three things to know today00:00 Google Unveils Gemini AI, Claiming Superior Performance Over GPT-404:06 Syncro Report: Only 7% of MSPs Have Research-Backed Pricing Strategies06:46 Read AI's 'Large Meeting Models': Meeting Efficiency with AI TechnologySupported by:https://gozynta.com/eureka/https://skykick.com/mspradio/Want to take my class? https://www.itspu.com/all-classes/classes/navigating-emerging-technologies-for-msps/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Support the show on Patreon: https://patreon.com/mspradio/Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.comFollow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftech

Google's Bard just got an upgrade, can it catch up to OpenAI's ChatGPT? (00:21) Ron Gross and Andy Cross discuss: - New jobs report numbers, Alphabet's latest AI move bringing Gemini into Bard, and GameStop's curious corporate investing plan update. - Chewy's status as the #1 pet pharmacy in the U.S., Lululemon's business-as-usual quarter, and Smuckers showing it has pricing power in peanut butter. (19:11) Journalist and author Bethany McLean's talks with Deidre Woollard about her latest book “The Big Fail” and takes a look at the past three years, how we responded to COVID, and the lasting effects on households, businesses, and the economy. (33:05) Ron and Andy break down two stocks on their radar: Target and MongoDB. Stocks discussed: GOOG, GOOGL, GME, DOCU, CHWY, LULU, SJM, MDB, TGT Host: Dylan Lewis Guests: Andy Cross, Ron Gross, Bethany McLean, Deidre Woollard Engineer: Dan Boyd Learn more about your ad choices. Visit megaphone.fm/adchoices

In a year of rapidly-growing brands and plenty of tech drama, OpenAI's ChatGPT was named the Fastest Growing Brand of 2023 by Morning Consult. We'll chat about how exactly that's calculated and if Gen Z is on board. Plus: Taylor Swift is named Time's person of the year and Panera is having some lemonade trouble. Join our hosts Jon Weigell and Juliet Bennett Rylah as they take you through our most interesting stories of the day. Follow us on social media: TikTok: https://www.tiktok.com/@thdspod  Instagram: https://www.instagram.com/thdspod/  Thank You For Listening to The Hustle Daily Show. Don't forget to hit Subscribe or Follow us on Apple Podcasts so you never miss an episode! If you want this news delivered to your inbox, join millions of others and sign up for The Hustle Daily newsletter, here: https://thehustle.co/email/  Plus! Your engagement matters to us. If you are a fan of the show, be sure to leave us a 5-Star Review on Apple Podcasts https://podcasts.apple.com/us/podcast/the-hustle-daily-show/id1606449047 (and share your favorite episodes with your friends, clients, and colleagues). “The Hustle Daily Show” is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Produced by Darren Clarke.

What is the connection between the future of humanity and the future of technology? Science fiction author Kim Stanley Robinson (The Mars trilogy, Ministry for the Future) joins the podcast to speculate about how we might evolve as a civilization. Science fiction author Kim Stanley Robinson joins the podcast to speculate about how we might evolve as a civilization. His books, such as The Mars trilogy or Ministry for the Future to name a few—address issues like economic inequality, governance, and the ethical dilemmas posed by technological advancements. Reid, Aria, and Stan discuss Stan's books and characters, how he builds his science fiction worlds, and the shifting pace of human acceleration. Plus, Stan explains the way that humans have organized themselves in the past and how AI may change how humans organize themselves in the future.  Read the transcript of this episode here. Promotional image credit: Gage Skidmore. For more info on the podcast and transcripts of all of the episodes, visit www.possible.fm/podcast. Topics: 3:40 - Hellos and intros  6:00 - Stan's story development process 9:00 - Where we are on the narrative arc of humanity 14:07 - The pace of human progress 19:35 - Science fiction and the political realm 23:54 - How humans organize themselves  29:23 - The strength of AI programmers 34:44 - How Ministry of the Future applies to the real world 43:53 - Rapidfire questions The award-winning Possible podcast is back with a new season that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future.  This season, hosts Reid Hoffman and Aria Finger, are speaking with a new set of ambitious builders and deep thinkers about everything from art to geopolitics and from healthcare to education. These conversations also showcase another kind of guest: AI. Whether it's Inflection's Pi, OpenAI's ChatGPT or other AI tools, each episode will use AI to enhance and advance our discussion.  Possible is produced by Wonder Media Network and hosted by Reid Hoffman and Aria Finger. Our showrunner is Shaun Young. Possible is produced by Edie Allard, Sara Schleede, and Paloma Moreno Jiménez. Jenny Kaplan is our Executive Producer and Editor. Special thanks to Katie Sanders, Surya Yalamanchili, Saida Sapieva, Ian Alas, Greg Beato, Ben Relles, and Little Monster Media Company.

Greg Diamos, co-founder of Lamini, shares how their discovery of the Scaling Laws Recipe led to rapid evolution of language learning models, and inspired Lamini's product offering. He also discusses his message for policy makers, including what we should be worried about, and what pitfalls we should work to avoid.   Key Takeaways:  Why you should build your own LLM How language learning models have impacted ChatGPT Why this is the best time for software engineers to enter the space Guest Bio:  Greg Diamos is a co-founder of Lamini, the enterprise LLM platform for building and owning LLMs. He is also a co-founder of MLPerf™, the industry standard benchmark for deep learning performance. Greg was a founding engineer at Baidu's Silicon Valley AI Lab (SVAIL), where he co-invented the first deep learning speech and language model (which was deployed in production to billions of users). At Baidu, he discovered Scaling Laws, motivating LLMs. His team members from SVAIL built the most useful LLMs today, including OpenAI's ChatGPT, Llama 2 at Meta, Claude 2 at Anthropic, PALM at Google, and NVIDIA's Megatron. Before Baidu, Greg was a CUDA Architect at NVIDIA. Greg holds a PhD from Georgia Tech focusing on high performance computing. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte