Podcasts about Jevons

durée : 00:59:24 - Entendez-vous l'éco ? - par : Aliette Hovine, Bruno Baradat - W.S. Jevons est un économiste anglais de l'époque victorienne, connu pour avoir établi le concept d'utilité marginale et la théorie économique qui en découle. Il a également marqué la littérature par ses travaux précurseurs sur les conséquences de l'épuisement des ressources fossiles en Angleterre. - réalisation : Françoise Le Floch - invités : Antoine Missemer Economiste, chargé de recherche CNRS, membre du Centre International de Recherche sur l'Environnement et le Développement (CIRED); Nicolas Chaigneau Professeur d'économie à l'Université Lumière Lyon II

Scott Wu is the co-founder and CEO of Cognition, the company behind Devin—the world's first autonomous AI software engineer. Unlike other AI coding tools, Devin works like an autonomous engineer that you can interact with through Slack, Linear, and GitHub, just like with a remote engineer. With Scott's background in competitive programming and a previous AI-powered startup, Lunchclub, teaching AI to code has become his ultimate passion.What you'll learn:1. How a team of “Devins” are already producing 25% of Cognition's pull requests, and they are on track to hit 50% by year's end2. How each engineer on Cognition's 15-person engineering team works with about five Devins each3. How Devin has evolved from a “high school CS student” to a “junior engineer” over the past year4. Why engineering will shift from “bricklayers” to “architects”5. Why AI tools will lead to more engineering jobs rather than fewer6. How Devin creates its own wiki to understand and document complex codebases7. The eight pivots Cognition went through before landing on their current approach8. The cultural shifts required to successfully adopt AI engineers—Brought to you by:Enterpret—Transform customer feedback into product growthParagon—Ship every SaaS integration your customers wantAttio—The powerful, flexible CRM for fast-growing startups—Where to find Scott Wu:• X: https://x.com/scottwu46• LinkedIn: https://www.linkedin.com/in/scott-wu-8b94ab96/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Scott Wu and Devin(09:13) Scaling and future prospects(10:23) Devin's origin story(17:26) The idea of Devin as a person(22:19) How a team of “Devins” are already producing 25% of Cognition's pull requests(25:17) Important skills in the AI era(30:21) How Cognition's engineering team works with Devin's(34:37) Live demo(42:20) Devin's codebase integration(44:50) Automation with Linear(46:53) What Devin does best(52:56) The future of AI in software engineering(57:13) Moats and stickiness in AI(01:01:57) The tech that enables Devin(01:04:14) AI will be the biggest technology shift of our lives(01:07:25) Adopting Devin in your company(01:15:13) Startup wisdom and hiring practices(01:22:32) Lightning round and final thoughts—Referenced:• Devin: https://devin.ai/• GitHub: https://github.com/• Linear: https://linear.app/• Waymo: https://waymo.com/• GitHub Copilot: https://github.com/features/copilot• Cursor: https://www.cursor.com/• Anysphere: https://anysphere.inc/• Bolt: https://bolt.new/• StackBlitz: https://stackblitz.com/• Cognition: https://cognition.ai/• v0: https://v0.dev/• Vercel: https://vercel.com/• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• Assembly: https://en.wikipedia.org/wiki/Assembly_language• Pascal: https://en.wikipedia.org/wiki/Pascal_(programming_language)• Python: https://www.python.org/• Jevons paradox: https://en.wikipedia.org/wiki/Jevons_paradox• Datadog: https://www.datadoghq.com/• Bending the universe in your favor | Claire Vo (LaunchDarkly, Color, Optimizely, ChatPRD): https://www.lennysnewsletter.com/p/bending-the-universe-in-your-favor• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Windsurf: https://windsurf.com/• COBOL: https://en.wikipedia.org/wiki/COBOL• Fortran: https://en.wikipedia.org/wiki/Fortran• Magic the Gathering: https://magic.wizards.com/en• Aura frames: https://auraframes.com/• AirPods: https://www.apple.com/airpods/• Steven Hao on LinkedIn: https://www.linkedin.com/in/steven-hao-160b9638/• Walden Yan on LinkedIn: https://www.linkedin.com/in/waldenyan/—Recommended books:• How to Win Friends & Influence People: https://www.amazon.com/How-Win-Friends-Influence-People/dp/0671027034• The Power Law: Venture Capital and the Making of the New Future: https://www.amazon.com/Power-Law-Venture-Capital-Making/dp/052555999X• The Great Gatsby: https://www.amazon.com/Great-Gatsby-F-Scott-Fitzgerald/dp/0743273567—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

L'Intelligenza Artificiale diventa sempre più accessibile ed efficiente, ma i consumi legati alla sua adozione non diminuiscono: anzi, crescono in modo esponenziale. È il cosiddetto “Paradosso di Jevons”, una teoria emersa nell'800 che mostra come, quando una risorsa diventa più economica, la domanda si amplia e il consumo complessivo aumenta. Applicato all'AI, questo fenomeno tocca diverse tematiche: dalla necessità di regolamentare tecnologie in rapida espansione, alle possibili criticità su privacy, sicurezza, disinformazione e impatto sull'ambiente. Lo scenario si complica ulteriormente perché, se da un lato c'è chi spinge sull'innovazione totale, dall'altro c'è chi teme un uso incontrollato di questi strumenti.Tutto ciò rende urgente un dibattito su come bilanciare crescita e tutela, per non ritrovarci a dover gestire rischi che possono diventare insostenibili.~~~~~ INGAGGI E SPONSORSHIP ~~~~~ Per contatti commerciali: sales@matteoflora.comPer consulenze legali: info@42LawFirm.it~~~~~ SOSTIENI IL CANALE! ~~~~~Con la Membership PRO puoi supportare il Canale » https://link.mgpf.it/proSe vuoi qui la mia attrezzatura » https://mgpf.it/attrezzatura~~~~~ SEGUIMI ANCHE ONLINE CON LE NOTIFICHE! ~~~~~» CANALE WHATSAPP » https://link.mgpf.it/wa» CANALE TELEGRAM » https://mgpf.it/tg» CORSO (Gratis) IN FUTURO » https://mgpf.it/nl» NEWSLETTER » https://mgpf.it/nl~~~~~ CIAO INTERNET E MATTEO FLORA ~~~~~ Questo è “Ciao Internet!” la prima e più seguita trasmissione di TECH POLICY in lingua italiana, online su YouTube e in Podcast.Io sono MATTEO FLORA e sono:» Professore in Fondamenti di Sicurezza delle AI e delle SuperIntelligenze (ESE)» Professore ac in Corporate Reputation e Crisis Management (Pavia).Sono un Imprenditore Seriale del digitale e ho fondato:» The Fool » https://thefool.it - La società italiana leader di Customer Insight» The Magician » https://themagician.agency - Atelier di Advocacy e Gestione della Crisi» 42 Law Firm » https://42lf.it - Lo Studio Legale per la Trasformazione Digitale » ...e tante altre qui: https://matteoflora.com/#aziendeSono Future Leader (IVLP) del Dipartimento di Stato USA sotto Amministrazione Obama nel programma “Combating Cybercrime (2012)”.Sono Presidente di PermessoNegato, l'associazione italiana che si occupa di Pornografia Non- Consensuale e Revenge Porn.Conduco in TV “Intelligenze Artificiali” su Mediaset/TgCom.

In this episode, Jeffrey discusses the Jevons Paradox or Jevons Effect.Each week, Jeffrey will be sharing his knowledge on Service Delivery (Mondays) and Service Management (Thursdays).Jeffrey is the founder of Service Management Leadership, an IT consulting firm specializing in Service Management, Asset Management, CIO Advisory, and Business Continuity services.  The firm's website is www.servicemanagement.us.  Jeffrey has been in the industry for 30 years and brings a practical perspective to the discussions. He is an accomplished author with seven acclaimed books in the subject area and a popular YouTube channel with approximately 1,500 videos on various topics.  Also, please follow the Service Management Leadership LinkedIn page.

Darren revisits a topical segment from the past looking at Jevons' Paradox which suggests that as a resource becomes more efficient, it may paradoxically be consumed more. Then Adam looks at some recent controversies about artificial colouring in Froot Loops cereal, how those are labeled in the US and Canada and what that means.

Topic 1: CISA Under the Microscope CISA was called out in the Project 2025 document as a left-wing organization inside the government due to their warning about election interference. It is now subject to cuts and scrutiny. In the mass firings at DHS on February 14th, 130 employees at CISA were fired as they were “probationary” employees. Many MSPs and MSSPs subscribe to CISA.gov alerts. It is unclear how this will be affected. Wherever you stand on politics or related topics, small business needs a good source of security alerts we can rely on. What's your take? Topic 2 (AI, of course): Was DeepSeek revolutionary or just the next obvious step in the evolution of AI? From Geekwire: Satya Nadella's response was, "Jevons paradox strikes again! . . . As AI gets more efficient and accessible, we will see its use skyrocket, turning it into a commodity we just can't get enough of." What do you think. Just another step in the evolution of AI? Or is there news here? See: - https://www.geekwire.com/2025/microsoft-ceo-says-ai-use-will-skyrocket-with-more-efficiency-amid-craze-over-deepseek/  - Wikipedia on Jevon's Paradox: https://en.wikipedia.org/wiki/Jevons_paradox  - ChatGPT now has 300 million users (https://backlinko.com/chatgpt-stats)  - Google Search has 1 billion regular users, and now includes Gemini results at the top of every search - Microsoft CoPilot has about 30 million users (https://www.businessofapps.com/data/microsoft-copilot-statistics/)  - Adobe Creative Cloud has about 30 million users and includes AI in all products (https://photutorial.com/adobe-statistics/)  Topic 3: Will Microsoft compete with you - or your SOC? Now available: Microsoft Defender Experts for XDR Says Microsoft: "Our expertise is now your expertise. Augment your teams across security, compliance, identity, management, and privacy with Microsoft Security Experts." See https://www.microsoft.com/en-us/security/business/services Is this service worth considering, or should Microsoft put those resources into fixing security problems in their deployed software? The pages makes it sound like this will have a major human-led component, but that's exactly what they are NOT doing. Will you jump on board or wait to see if this is real first? And will this help Microsoft cut payroll, or just require more hiring? We welcome your feedback! :-)    

¿En qué consiste exactamente este concepto, la paradoja de Jevons, que es un economista inglés del siglo XIX? Con Manuel Pinto, estratega de mercado.

The Donald is firing out of the blocks on trade tariffs with no hesitation. The team discusses what it means for financial markets and how they should position their funds for a world of potentially lesser trade. Not to be outdone, the AI sector had its own mini-revolution recently with the emergence of low-cost Chinese chatbot DeepSeek. Does this call into question the dominance of the AI market darlings? Finally, the team outlines the appeal of heavy equipment manufacturer, Caterpillar, which has been in the funds for a number of years.This podcast was recorded on 12 February 2025.If during this podcast the team reference any terms you're unfamiliar with, please see our glossary www.rathbonesam.com/glossary-of-terms-and-faqs which will provide an explanation.Rathbones multi-asset investing team:David Coombs, Head of Multi-Asset InvestmentsWill McIntosh-Whyte, Fund Manager, Rathbone Greenbank Multi-Asset Portfolio funds and Rathbone Multi-Asset Portfolio fundsCraig Brown, Senior Multi-Asset Investment SpecialistRahab Paracha, Sustainable Multi-Asset Investment SpecialistHannah Kennedy, Portfolio Management Assistant – Multi AssetAbout Rathbones:Rathbones, a FTSE 250 listed company, provides individual investment and wealth management services for private clients, charities, trustees and professional partners. Rathbone Asset Management is a UK fund manager, offering equity and bond unit trusts and a multi-asset fund range to meet your capital growth and income requirements. Rathbone Asset Management Limited is a wholly-owned, London-based subsidiary of Rathbones Group plc.This podcast is intended for retail and professional investors. Any views and opinions are those of the investment manager, and coverage of any assets held must be taken in context of the constitution of the fund and in no way reflect an investment recommendation. Past performance should not be seen as an indication of future performance. The value of investments and the income from them may go down as well as up and you may not get back your original investment. This podcast has been produced for information purposes only and isn't intended to constitute financial advice. Any views expressed during this recording belong to the individuals and are based on market conditions at the time of recording; Investments referred to may not be suitable for all recipients. Any mention of a specific security should not be interpreted as a solicitation to buy or sell a specific security. Rathbone Asset Management Limited is authorised and regulated by the Financial Conduct Authority. A member of the Investment Association. A member of the Rathbones Group. Registered office: 30 Gresham Street, London, EC2V 7QN. Registered in England No. 02376568.

Send us a textIn this episode of Sidecar Sync, Amith and Mallory dive into OpenAI's latest innovation: Deep Research. They explore how this powerful AI agent is transforming research by synthesizing vast amounts of information at unprecedented speeds. They also discuss Jevons Paradox—why technological advancements don't always reduce resource consumption and how this applies to AI's rapid evolution. Plus, they unpack the implications of AI's increasing accessibility, from competition among AI models to what this means for associations navigating an AI-driven future.

In episode 109, we are back with Will Liang, Executive Director at MA Financial, to discuss DeepSeek and the impact on the future development of artificial intelligence and the global economy. Are tech firms going to scale back their investments due to this low cost model, or is it all a bit of a hype? Enjoy the Show! Overview of Podcast with Will Liang on DeepSeek 01:00 First impressions of DeepSeek 03:00 Is DeepSeek really a revolution? 04:00 OpenAI did not spend billions of dollars developing one model 04:30 DeepSeek and memory saving 08:00 Mag Seven and investment plans 10:00 Jevons' paradox in AI and related industries 11:00 I don't think DeepSeek is a distilled model 13:30 Should we be worried about data being fed back to China? 16:30 DeepSeek has released a lot of LLM secrets to the public 18:00 Applications of DeepSeek in the investment industry 22:00 You will see a lot more distilled models of DeepSeek 25:00 A wake up call for the investment industry

Creado por “El Siglo 21 es hoy”. El ascenso de DeepSeek, una inteligencia artificial de código abierto que ha generado cambios en el mercado tecnológico global. Hablamos de sus diferencias con otras IA como ChatGPT, Claude, Gemini, Grok y Mistral, su impacto en empresas como NVIDIA, así como su relación con las restricciones de exportación de chips H100, A100 y H800. También exploramos la paradoja de Jevons y su aplicación a tecnologías emergentes. Descubre por qué DeepSeek es el foco de tensiones geopolíticas entre Estados Unidos y China. Suscríbete, comparte este episodio y escucha a 1.5x para una experiencia mejorada. Capítulos: 00:00:00 Episodio 1551 00:02:39 El día en que DeepSeek se hizo noticia mundial 00:17:19 Todos hablan de DeepSeek 00:25:55 El mercado de valores 00:31:13 El impacto de la App 00:35:43 De que vive DeepSeek 00:39:11 La paradoja de Jevons 00:55:09 DeepSeek y la seguridad 00:59:06 De dónde viene 01:06:51 DeepSeek en local 01:10:07 Los chips 01:12:54 Las restricciones 01:14:46 DeepSeek avanza 01:20:27 Qwen Alibaba 01:26:24 Rumores de que usaron ChatGPT 01:29:22 ¿Qué otros modelos de IA son open source? 01:32:43 Guerra fría IA DeepSeek, inteligencia artificial, código abierto, ChatGPT, Claude, Gemini, Grok, Mistral, NVIDIA, H100, A100, H800, Jevons, geopolítica, Estados Unidos, China, tecnología emergente, mercado tecnológico.Conviértete en un seguidor de este podcast: https://www.spreaker.com/podcast/inteligencia-artificial-para-emprender--5863866/support.

El ascenso de DeepSeek, una inteligencia artificial de código abierto que ha generado cambios en el mercado tecnológico global. Hablamos de sus diferencias con otras IA como ChatGPT, Claude, Gemini, Grok y Mistral, su impacto en empresas como NVIDIA, así como su relación con las restricciones de exportación de chips H100, A100 y H800. También exploramos la paradoja de Jevons y su aplicación a tecnologías emergentes. Descubre por qué DeepSeek es el foco de tensiones geopolíticas entre Estados Unidos y China.Suscríbete, comparte este episodio y escucha a 1.5x para una experiencia mejorada.Capítulos: 00:00:00 Episodio 155100:02:39 El día en que DeepSeek se hizo noticia mundial00:17:19 Todos hablan de DeepSeek00:25:55 El mercado de valores00:31:13 El impacto de la App00:35:43 De que vive DeepSeek00:39:11 La paradoja de Jevons00:55:09 DeepSeek y la seguridad00:59:06 De dónde viene01:06:51 DeepSeek en local01:10:07 Los chips01:12:54 Las restricciones01:14:46 DeepSeek avanza01:20:27 Qwen Alibaba01:26:24 Rumores de que usaron ChatGPT01:29:22 ¿Qué otros modelos de IA son open source?01:32:43 Guerra fría IADeepSeek, inteligencia artificial, código abierto, ChatGPT, Claude, Gemini, Grok, Mistral, NVIDIA, H100, A100, H800, Jevons, geopolítica, Estados Unidos, China, tecnología emergente, mercado tecnológico.Conviértete en un seguidor de este podcast: https://www.spreaker.com/podcast/el-siglo-21-es-hoy--880846/support.

El ascenso de DeepSeek, una inteligencia artificial de código abierto que ha generado cambios en el mercado tecnológico global. Hablamos de sus diferencias con otras IA como ChatGPT, Claude, Gemini, Grok y Mistral, su impacto en empresas como NVIDIA, así como su relación con las restricciones de exportación de chips H100, A100 y H800. También exploramos la paradoja de Jevons y su aplicación a tecnologías emergentes. Descubre por qué DeepSeek es el foco de tensiones geopolíticas entre Estados Unidos y China.Suscríbete, comparte este episodio y escucha a 1.5x para una experiencia mejorada.Capítulos: 00:00:00 Episodio 155100:02:39 El día en que DeepSeek se hizo noticia mundial00:17:19 Todos hablan de DeepSeek00:25:55 El mercado de valores00:31:13 El impacto de la App00:35:43 De que vive DeepSeek00:39:11 La paradoja de Jevons00:55:09 DeepSeek y la seguridad00:59:06 De dónde viene01:06:51 DeepSeek en local01:10:07 Los chips01:12:54 Las restricciones01:14:46 DeepSeek avanza01:20:27 Qwen Alibaba01:26:24 Rumores de que usaron ChatGPT01:29:22 ¿Qué otros modelos de IA son open source?01:32:43 Guerra fría IADeepSeek, inteligencia artificial, código abierto, ChatGPT, Claude, Gemini, Grok, Mistral, NVIDIA, H100, A100, H800, Jevons, geopolítica, Estados Unidos, China, tecnología emergente, mercado tecnológico.Conviértete en un seguidor de este podcast: https://www.spreaker.com/podcast/el-siglo-21-es-hoy--880846/support.

El ascenso de DeepSeek, una inteligencia artificial de código abierto que ha generado cambios en el mercado tecnológico global. Hablamos de sus diferencias con otras IA como ChatGPT, Claude, Gemini, Grok y Mistral, su impacto en empresas como NVIDIA, así como su relación con las restricciones de exportación de chips H100, A100 y H800. También exploramos la paradoja de Jevons y su aplicación a tecnologías emergentes. Descubre por qué DeepSeek es el foco de tensiones geopolíticas entre Estados Unidos y China.Suscríbete, comparte este episodio y escucha a 1.5x para una experiencia mejorada.Capítulos: 00:00:00 Episodio 155100:02:39 El día en que DeepSeek se hizo noticia mundial00:17:19 Todos hablan de DeepSeek00:25:55 El mercado de valores00:31:13 El impacto de la App00:35:43 De que vive DeepSeek00:39:11 La paradoja de Jevons00:55:09 DeepSeek y la seguridad00:59:06 De dónde viene01:06:51 DeepSeek en local01:10:07 Los chips01:12:54 Las restricciones01:14:46 DeepSeek avanza01:20:27 Qwen Alibaba01:26:24 Rumores de que usaron ChatGPT01:29:22 ¿Qué otros modelos de IA son open source?01:32:43 Guerra fría IADeepSeek, inteligencia artificial, código abierto, ChatGPT, Claude, Gemini, Grok, Mistral, NVIDIA, H100, A100, H800, Jevons, geopolítica, Estados Unidos, China, tecnología emergente, mercado tecnológico.Conviértete en un seguidor de este podcast: https://www.spreaker.com/podcast/el-siglo-21-es-hoy--880846/support.

Our Chief Fixed Income Strategist Vishy Tirupattur thinks that efficiency gains from Chinese AI startup DeepSeek may drive incremental demand for AI.----- Listener Survey -----Complete a short listener survey at http://www.morganstanley.com/podcast-survey and help us make the podcast even more valuable for you. For every survey completed, Morgan Stanley will donate $25 to the Feeding America® organization to support their important work.© 2025 Morgan Stanley. All Rights Reserved. CRC#4174856 02/2025----- Transcript -----Hi, I'm Michael Zezas, Global Head of Fixed Income research & Public Policy Strategy at Morgan Stanley. Before we get into today's episode … the team behind Thoughts on the Market wants your thoughts and your input. Fill out our listener survey and help us make this podcast even more valuable for you. The link is in the show notes, and you'll hear it at the end of the episode. Plus, help us help the Feeding America organization. For every survey completed, Morgan Stanley will donate $25 toward their important work.Thanks for your time and support. On to the show…Welcome to Thoughts on the Market. I'm Vishy Tirupattur, Morgan Stanley's Chief Fixed Income Strategist. Today I'll be talking about the macro implications of the DeepSeek development.It's Friday February 7th at 9 am, and I'm on the road in Riyadh, Saudi Arabia.Recently we learned that DeepSeek, a Chinese AI startup, has developed two open-source large language models – LLMs – that can perform at levels comparable to models from American counterparts at a substantially lower cost. This news set off shockwaves in the equity markets that wiped out nearly a trillion dollars in the market cap of listed US technology companies on January 27. While the market has recouped some of these losses, their magnitude raises questions for investors about AI. My equity research colleagues have addressed a range of stock-specific issues in their work. Today we step back and consider the broader implications for the economy in terms of productivity growth and investment spending on AI infrastructure.First thing. While this is an important milestone and a significant development in the evolution of LLMs, it doesn't come entirely as a shock. The history of computing is replete with examples of dramatic efficiency gains. The DeepSeek development is precisely that – a dramatic efficiency improvement which, in our view, drives incremental demand for AI. Rapid declines in the cost of computing during the 1990s provide a useful parallel to what we are seeing now. As Michael Gapen, our US chief economist, has noted, the investment boom during the 1990s was really driven by the pace at which firms replaced depreciated capital and a sharp and persistent decline in the price of computing capital relative to the price of output. If efficiency gains from DeepSeek reflect a similar phenomenon, we may be seeing early signs [that] the cost of AI capital is coming down – and coming down rapidly. In turn, that should support the outlook for business spending pertaining to AI.In the last few weeks, we have heard a lot of reference to the Jevons paradox – which really dates from 1865 – and it states that as technological advancements reduce the cost of using a resource, the overall demand for the resource increases, causing the total resource consumption to rise. In other words, cheaper and more ubiquitous technology will increase its consumption. This enables AI to transition from innovators to more generalized adoption and opens the door for faster LLM-enabled product innovation. That means wider and faster consumer and enterprise adoption. Over time, this should result in greater increases in productivity and faster realization of AI's transformational promise.From a micro perspective, our equity research colleagues, who are experts in covering stocks in these sectors, come to a very similar conclusion. They think it's unlikely that the DeepSeek development will meaningfully reduce CapEx related to AI infrastructure. From a macroeconomic perspective, there is a good case to be made for higher business spending related to AI, as well as productivity growth from AI.Obviously, it is still early days, and we will see leaders and laggards at the stock level. But the economy as a whole we think will emerge as a winner. DeepSeek illustrates the potential for efficiency gains, which in turn foster greater competition and drive wider adoption of AI. With that premise, we remain constructive on AI's transformational promise.Thanks for listening. If you enjoy the podcast, help us make it even more valuable to you. Share your feedback on the show at morganstanley.com/podcast-survey or head to the episode notes for the survey link.In the last few weeks… (Laughs) It's almost like the birds are waiting for me to start speaking.The proceeding content is informational only and based on information available when created. It is not an offer or a solicitation nor is it tax or legal advice. It does not consider your financial circumstances and objectives and may not be suitable for you.

Replit's new AI agent can turn a simple prompt into a working app straight from your phone. Is this the end of traditional software development, or are we entering a new phase where anyone can build? This episode examines AI powered coding, how low code tools change software creation, and what happens when intelligence becomes widely accessible. Brought to you by: KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.kpmg.us/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions. Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score. The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Subscribe to the newsletter: https://aidailybrief.beehiiv.com/ Join our Discord: https://bit.ly/aibreakdown

To open the show, Ben and Andrew dive into the latest headlines about DeepSeek from last week. We answer questions like “why did everyone search ‘Jevons paradox'?” and discuss strategic AI investments from financial giants like Goldman Sachs. These moves underscore the growing importance of strong engineering leadership in the age of AI.Then, Luca Rossi of Refactoring joins us to discuss his latest research. Drawing from a comprehensive survey of engineering professionals (thanks to you!), Luca breaks down the key traits and practices of successful engineering teams, revealing surprising correlations between team happiness, shipping frequency, and recognition by non-technical leadership.Be sure to grab your copy of the report to follow along with today's insights.Show Notes:Dev Interrupted SurveyBeyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamBook a demoFollow the hosts:Follow BenFollow AndrewFollow today's guest:Follow LucaReferenced in today's show:IBM cashing in on AIAI Stocks: How DeepSeek Changed Views On U.S.-China Artificial Intelligence Competition | Investor's Business DailyWilliam Stanley JevonsGoldman Sachs hires Amazon exec in senior AI engineering role | ReutersSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

En este episodio hablamos de los eventos más relevantes relacionados a los mercados financieros de Estados Unidos durante la semana laboral que terminó el viernes 31 de enero de 2025.En la empresa de la semana hablamos de DeepSeek (07:24)Y en la sección educativa hablamos sobre la Paradoja de Jevons (11:29)Les dejo la liga a nuestro canal de youtube donde podrán encontrar los audiogramas y videos educativos: https://www.youtube.com/channel/UC6thsV8Y_m2DgYPOqjLVfSQY también dejo la liga del blog donde estaremos subiendo las transcripciones de los episodios: www.ramonlog.com

This week: The Trump administration offered a resignation deal to millions of federal employees. Felix Salmon, Emily Peck, and Elizabeth Spiers discuss why this plan seems like a bad idea – for everyone. Then, Invidia's stock dropped this week when Deepseek proved AI can be done cheaper. But is this just steam engines and Jevons paradox all over again? Finally, the bookstore is back. The hosts discuss the recent success of Barnes & Noble and why they, and other bookstores, are the unexpected winners of the digital media age. In the Slate Plus episode: CVS has a new way of locking up their stuff. Want to hear that discussion and hear more Slate Money? Join Slate Plus to unlock weekly bonus episodes. Plus, you'll access ad-free listening across all your favorite Slate podcasts. You can subscribe directly from the Slate Money show page on Apple Podcasts and Spotify. Or, visit slate.com/moneyplus to get access wherever you listen. Podcast production by Jessamine Molli. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week: The Trump administration offered a resignation deal to millions of federal employees. Felix Salmon, Emily Peck, and Elizabeth Spiers discuss why this plan seems like a bad idea – for everyone. Then, Invidia's stock dropped this week when Deepseek proved AI can be done cheaper. But is this just steam engines and Jevons paradox all over again? Finally, the bookstore is back. The hosts discuss the recent success of Barnes & Noble and why they, and other bookstores, are the unexpected winners of the digital media age. In the Slate Plus episode: CVS has a new way of locking up their stuff. Want to hear that discussion and hear more Slate Money? Join Slate Plus to unlock weekly bonus episodes. Plus, you'll access ad-free listening across all your favorite Slate podcasts. You can subscribe directly from the Slate Money show page on Apple Podcasts and Spotify. Or, visit slate.com/moneyplus to get access wherever you listen. Podcast production by Jessamine Molli. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week: The Trump administration offered a resignation deal to millions of federal employees. Felix Salmon, Emily Peck, and Elizabeth Spiers discuss why this plan seems like a bad idea – for everyone. Then, Invidia's stock dropped this week when Deepseek proved AI can be done cheaper. But is this just steam engines and Jevons paradox all over again? Finally, the bookstore is back. The hosts discuss the recent success of Barnes & Noble and why they, and other bookstores, are the unexpected winners of the digital media age. In the Slate Plus episode: CVS has a new way of locking up their stuff. Want to hear that discussion and hear more Slate Money? Join Slate Plus to unlock weekly bonus episodes. Plus, you'll access ad-free listening across all your favorite Slate podcasts. You can subscribe directly from the Slate Money show page on Apple Podcasts and Spotify. Or, visit slate.com/moneyplus to get access wherever you listen. Podcast production by Jessamine Molli. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week: The Trump administration offered a resignation deal to millions of federal employees. Felix Salmon, Emily Peck, and Elizabeth Spiers discuss why this plan seems like a bad idea – for everyone. Then, Invidia's stock dropped this week when Deepseek proved AI can be done cheaper. But is this just steam engines and Jevons paradox all over again? Finally, the bookstore is back. The hosts discuss the recent success of Barnes & Noble and why they, and other bookstores, are the unexpected winners of the digital media age. In the Slate Plus episode: CVS has a new way of locking up their stuff. Want to hear that discussion and hear more Slate Money? Join Slate Plus to unlock weekly bonus episodes. Plus, you'll access ad-free listening across all your favorite Slate podcasts. You can subscribe directly from the Slate Money show page on Apple Podcasts and Spotify. Or, visit slate.com/moneyplus to get access wherever you listen. Podcast production by Jessamine Molli. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week: The Trump administration offered a resignation deal to millions of federal employees. Felix Salmon, Emily Peck, and Elizabeth Spiers discuss why this plan seems like a bad idea – for everyone. Then, Invidia's stock dropped this week when Deepseek proved AI can be done cheaper. But is this just steam engines and Jevons paradox all over again? Finally, the bookstore is back. The hosts discuss the recent success of Barnes & Noble and why they, and other bookstores, are the unexpected winners of the digital media age. In the Slate Plus episode: CVS has a new way of locking up their stuff. Want to hear that discussion and hear more Slate Money? Join Slate Plus to unlock weekly bonus episodes. Plus, you'll access ad-free listening across all your favorite Slate podcasts. You can subscribe directly from the Slate Money show page on Apple Podcasts and Spotify. Or, visit slate.com/moneyplus to get access wherever you listen. Podcast production by Jessamine Molli. Learn more about your ad choices. Visit megaphone.fm/adchoices

(0:00) The Besties intro Travis Kalanick! (2:11) Travis breaks down the future of food and the state of CloudKitchens (13:34) Sacks breaks in! (15:38) DeepSeek panic: What's real, training innovation, China, impact on markets and the AI industry (50:14) US vs China in AI, the Singapore backdoor (1:01:51) OpenAI reportedly in talks to raise ~$40B with Masa as the lead investor (1:10:37) DOGE's first 10 days (1:25:13) Future of Self Driving: Uber, Waymo, Tesla (1:38:04) Fed holds rates steady, how DOGE can impact rate cuts (1:44:17) Fatal DC plane crash Follow Travis: https://x.com/travisk Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect Referenced in the show: https://github.com/deepseek-ai/DeepSeek-R1/blob/main/DeepSeek_R1.pdf https://www.tomshardware.com/tech-industry/artificial-intelligence/chinese-company-trained-gpt-4-rival-with-just-2-000-gpus-01-ai-spent-usd3m-compared-to-openais-usd80m-to-usd100m https://www.cnbc.com/2025/01/27/nvidia-sheds-almost-600-billion-in-market-cap-biggest-drop-ever.html https://x.com/shrihacker/status/1884414667503853749 https://x.com/balajis/status/1884975064283812270 https://www.fool.com/earnings/call-transcripts/2025/01/29/meta-platforms-meta-q4-2024 earnings-call-transcri https://x.com/mrexits/status/1885017400308806121 https://www.wsj.com/livecoverage/stock-market-today-dow-sp500-nasdaq-live-01-28-2025/card/deepseek-s-ai-learned-from-chatgpt-trump-s-ai-czar-says-LoCYvz2Lm0riS0AuEoB5 https://www.wsj.com/tech/ai/why-distillation-has-become-the-scariest-wordfor-ai-companies-aa146ae3 https://techcrunch.com/2024/12/27/why-deepseeks-new-ai-model-thinks-its-chatgpt https://x.com/rauchg/status/1875627666113740892 https://www.ft.com/content/a0dfedd1-5255-4fa9-8ccc-1fe01de87ea6 https://x.com/satyanadella/status/1883753899255046301 https://en.m.wikipedia.org/wiki/Jevons_paradox https://x.com/pitdesi/status/1883192498274873513 https://x.com/rihardjarc/status/1884263865703358726 https://x.com/austen/status/1884444298130674000 https://www.cnbc.com/2025/01/30/openai-in-talks-to-raise-up-to-40-billion-at-340-billion-valuation.html https://x.com/america/status/1884372526144598056 https://x.com/DOGE/status/1884396041786524032 https://fred.stlouisfed.org/series/FYFSD https://www.whitehouse.gov/presidential-actions/2025/01/establishing-and-implementing-the-presidents-department-of-government-efficiency https://x.com/Jason/status/1884671945800573018 https://abcnews.go.com/538/trump-starts-term-weak-approval-rating/story?id=118146633 https://www.cnbc.com/2025/01/15/cpi-inflation-december-2024-.html https://x.com/chamath/status/1885068981905875241

We're experimenting and would love to hear from you!In today's episode of 'Discover Daily', we explore the healthcare bill, H.R. 206, thats making waves in Congress as it proposes to allow AI systems to prescribe medications. The Healthy Technology Act of 2023 could revolutionize healthcare delivery by qualifying AI as prescribing practitioners, sparking intense debates over patient safety, algorithmic bias, and the future of medical decision-making in an AI-powered healthcare system.We then turn to Kansas, a state grappling with the largest tuberculosis outbreak in U.S. history since the 1950s, with 67 active cases and 79 latent infections primarily concentrated in Wyandotte and Johnson counties. While health officials emphasize that the risk to the general public remains low, the outbreak has prompted an aggressive containment strategy including free testing, enhanced contact tracing, and collaboration with CDC experts.Then in tech industry developments, Microsoft CEO Satya Nadella warns about the Jevons Paradox in AI, as Chinese startup DeepSeek introduces groundbreaking efficient models. Nadella suggests that improved efficiency could paradoxically lead to unprecedented levels of AI consumption, potentially reshaping the entire tech industry and raising crucial questions about sustainability and energy usage in the AI sector.From Perplexity's Discover Feed: https://www.perplexity.ai/page/ai-prescription-bill-proposed-qjHVQk3ORxCsufj4FODmGwhttps://www.perplexity.ai/page/tb-outbreak-hits-kansas-QtMgE.T8S0GP3Esmk0sGVQ https://www.perplexity.ai/page/nadella-predicts-jevons-parado-lXTDyvFjTuaoa1p5Jp3OuA Perplexity is the fastest and most powerful way to search the web. Perplexity crawls the web and curates the most relevant and up-to-date sources (from academic papers to Reddit threads) to create the perfect response to any question or topic you're interested in. Take the world's knowledge with you anywhere. Available on iOS and Android Join our growing Discord community for the latest updates and exclusive content. Follow us on: Instagram Threads X (Twitter) YouTube Linkedin

(Recorded January 27th, 2025)   We live in an era where artificial intelligence increasingly dominates the headlines with promises of revolutionary advances - from medical breakthroughs to productivity gains. Yet, while society fixates on these micro-level innovations, a deeper macro story remains largely untold: how AI may fundamentally reshape the relationship between humanity, technology, and the living world. As we race towards artificial superintelligence, we face a species-level ‘Icarus moment' - where our technological ambitions risk outstripping our collective wisdom as we fly too close to the sun. In this Frankly, Nate explores seven potential macro-risks associated with AI, from the amplification of wealth inequality to the (literal) existential threat of superintelligence. Through the lens of ‘obligatory technology' and Jevons paradox, he examines how AI could turbocharge the economic superorganism - accelerating its impact on resource extraction, ecosystem degradation, and human meaning - all while fragmenting our shared reality and concentrating power in dangerous ways. What happens when we outsource, not just our labor, but also our creativity and meaning-making to machines? How might society adapt when technological efficiency leads to even greater resource extraction and consumption? And as we stand at this critical juncture, can we find ways to “use the devil's tools in service of Gaia's work”? Or are we opening a Pandora's box that cannot be closed? Metaphors - and risks - abound. Show Notes and More Watch this video episode on YouTube   --- Support The Institute for the Study of Energy and Our Future Join our Substack newsletter Join our Discord channel and connect with other listeners  

Ejaaz and David reunite to unpack the DeepSeek shockwave: how a mere $6M open-source AI model rattled OpenAI's dominance, nudged Nvidia's stock, and sparked a fresh “arms race” in crypto AI. Meanwhile, Trump's massive AI funding pledge and Solana's record DEX volumes signal that the space might be heading for its biggest bull run yet. On the builder side, ARC's rust-based agents partner with the Solana Foundation, AI16Z launches a $10M fund, and Virtuals teases multi-chain expansions that could redefine how agent tokens earn revenue. Between China's fast breakthroughs and America's big AI bets, the race to integrate AI and crypto has never been hotter. Buckle up, anon. ------

Venture capitalist Marc Andreessen called it, ”AI's sputnik moment.” The news that Chinese start-up Deepseek may have leapt ahead of the US in AI caused an unpleasant start to the week. In 1957 Sputnik's orbit led to the creation of NASA and fears that Russian satellites could attack the US from space. While Americans have […]

Today's show: A $6M open-source AI model from China, DeepSeek, sends shockwaves through Wall Street, wiping billions off NVIDIA's market cap and forcing a rethink on AI infrastructure spending. We explore the 25% surge in startup shutdowns, the lessons from leaner teams, and why some companies just couldn't make the runway. Plus, SailPoint returns to the public markets saddled with $1.6B in debt—what does this say about private equity's “buy, fix, and flip” strategy? Don't miss this deep dive into the latest tech and startup news! * Timestamps: (0:00) Jason and Alex kick off the show. (1:58) DeepSeek's market impact and Project Stargate (4:18) Innovation, H100 GPUs, and open-source AI models (8:41) Jevons paradox, Pat Gelsinger's analogy, and AI efficiency (10:03) Northwest Registered Agent. For just $39 plus state fees, Northwest will handle your complete business identity. Visit https://www.northwestregisteredagent.com/twist today. (13:25) AI's benefits for startups and privacy concerns (19:32) Squarespace. TWiST listeners: use code TWIST to save 10% off your first purchase of a website or domain: https://www.Squarespace.com/TWIST (19:51) AI optimization vs. hardware consumption (22:20) OpenAI's revenue, valuation, and NVIDIA's market value (30:13) LinkedIn Jobs. Post your first job for free at https://www.linkedin.com/twist (33:21) Unified AI digital assistants and DeepSeq's new model (35:01) AI's role in venture capital and team size reduction (41:04) China's influence and DeepSeek's market impact (43:22) Startup shutdowns and potential for increased M&A activity (53:02) Nvidia's historical analysis, risks of leverage, and SailPoint's IPO * Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com Check out the TWIST500: https://www.twist500.com Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp * Follow Alex: X: https://x.com/alex LinkedIn: ⁠https://www.linkedin.com/in/alexwilhelm * Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis * Thank you to our partners: (10:03) Northwest Registered Agent. For just $39 plus state fees, Northwest will handle your complete business identity. Visit https://www.northwestregisteredagent.com/twist today. (19:32) Squarespace. TWiST listeners: use code TWIST to save 10% off your first purchase of a website or domain: https://www.Squarespace.com/TWIST (30:13) LinkedIn Jobs. Post your first job for free at https://www.linkedin.com/twist * Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland * Check out Jason's suite of newsletters: https://substack.com/@calacanis * Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com * Subscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

Ross Ulbricht libero. Trump e le criptovalute. Gli USA annunciano Star Gate e i Cinesi lanciano Deep Seek. Terremoto FiberCop. Queste e molte altre le notizie tech commentate nella puntata di questa settimana.Dallo studio distribuito di digitalia:Franco Solerio, Francesco Facconi, Massimo De SantoProduttori esecutivi:Giuliano Arcinotti, Cristian De Solda, @Ppogo, Marco Berutto, Arzigogolo, Domenico De Laurentiis, @Akagrinta, Paolo Bernardini, Valerio Bendotti, Manuel Zavatta, Antonio Gargiulo, Paola Bellini, Douglas Whiting, Giulio Magnifico, Filippo Brancaleoni, Mattia Lanzoni, Davide Tinti, Paola Danieli, Christian Schwarz, Enrico De Anna, Fabrizio Mele, @Michele_Da_Milano, Idle Fellow, Fiorenzo Pilla, Alessandro Lago, Davide Bellia, Alessandro Balza, Andrea Bottaro, Luca Di Stefano, Roberto Basile, Antonio Manna, Massimo Pollastri, Marcello Marigliano, Alberto Cuffaro, Giuseppe Marino, Fabio FilisettiSponsor:Links:A Full and Unconditional Pardon for Silk Road Founder Ross UlbrichtTrump Boosts Tether Circle by Tying Stablecoins to Dollar RuleSo, why did $TRUMP choose to start a shitcoin and why on Solana?Trump announces $500B Stargate AI infrastructure projectElon Musk and Sam Altman take to social media to fight over StargateTrump staff furious after Musk trashes AI projectDeepSeek gets Silicon Valley talkingJevons paradoxMark Zuckerberg wants you to know he has a big AI data center tooPiracy Shield è stato accusato di violare le leggi europee e quelle sul copyright'Piracy Shield' Fails to Convert Pirates to Paying SubscribersPrima designazione di segnalatore attendibile in Italia ai sensi del DSAElon Musk millantava di essere un videogiocatore esperto, ma l'hanno scopertoElon Musk has reached Rank 3 on the PoE2 Hardcore LeaderboardElon Musk's and X's Role in 2024 Election InterferenceElon Musk email to X staff: ‘we're barely breaking even'su(0)ny - musiche sbagliateTim Cook Is Failing UsHow Apple Podcasts works in China: and why youre (probably) not thereOracle and Microsoft are reportedly in talks to take over TikTokLawyer explains why Apple can't bring TikTok back to the App Store yetInstagram is reportedly trying to attract TikTok creators with large bonusesThe 850 billion reasons Apple and others aren't taking a chance on TikTokMrBeast is reportedly now among those trying to buy TikTokTerremoto in casa FiberCopCyberpunk 2077 Just Got a New 20GB UpdateTecnologia NVIDIA DLSS 4Gingilli del giorno:Capitalismoi ImmaterialeMcLarens and CarPlayKensington Privacy ScreenSupporta Digitalia, diventa produttore esecutivo.

In this episode of AI Chronicles, Pete Cohen talks with Christian Ulstrup, a founder, product manager, and CEO advisor, about AI adoption in the workplace and its implications for the future of work. Christian introduces a three-level maturity model for AI adoption, progressing from single-player to multiplayer mode. He shares real-world examples of integrating AI into core workflows for clients, highlighting his commitment to consistent, hands-on experimentation. The discussion delves into approaches to AI tooling and investment, exploring the use of advanced models like OpenAI's o1 Pro and their impact on output quality. Christian is investing more than most people in his AI tooling, and we get to hear his insights on the benefits of using high-performance AI models for various tasks. Christian introduces Powerline, a product he's developing that functions as an "AI Chief of Staff." This tool analyses meeting transcripts to provide insights for CEOs and helps maintain connections between leadership and teams, showcasing practical applications of AI in organisational management. We also get insight into how one person with limited coding knowledge can leverage AI tools to develop, launch and maintain a software product. Looking to the future, Christian and Pete discuss the anticipated shift towards more remote, asynchronous, and AI-mediated work environments, with practical advice on adapting to these changes and leveraging AI tools to enhance productivity and collaboration. Throughout the episode, Christian emphasises the importance of experimentation and hands-on experience with AI tools, encouraging listeners to explore and integrate AI into their workflows. Recommended writing of Christian's to read: Accelerated AI Adoption: A Three-Level Maturity Model and How to Make the Shift From Single-Player to Multiplayer Mode - https://bit.ly/3Wm7u3n Learning through doing - https://bit.ly/42ehHT5 Where to find and connect with Christian: LinkedIn: https://www.linkedin.com/in/christianulstrup/ GSD at Work: https://www.linkedin.com/company/gsd-at-work Powerline: https://powerline.bot Tools and resources mentioned: ChatGPT and GPT-4 (https://chat.openai.com/) - Conversational AI models for general-purpose text generation and assistance, with GPT-4 offering enhanced reasoning capabilities. Claude (https://www.anthropic.com/) - Advanced AI language model offering versatile capabilities for various tasks. Superwhisper (https://www.superwhisper.com/) - Voice-to-text dictation tool utilizing AI for accurate transcription. Loom (https://www.loom.com/) - Video messaging tool for asynchronous communication and collaboration. Replit (https://replit.com/) - Online integrated development environment (IDE) and collaboration platform for coding. Powerline (https://powerline.bot) - AI chief of staff tool developed by Christian Ulstrup for analysing meeting transcripts and providing insights. Timestamps: 00:00 Introduction of Christian Ohlstrom 02:30 Christian's background and professional journey 05:15 Discussion on AI adoption and maturity model 08:30 Explanation of single-player to multiplayer mode in AI usage 11:45 Importance of experimentation in AI adoption 15:20 Challenges of AI adoption in large organizations 18:45 Shadow IT use and formal policies for AI tools in enterprises 22:30 Introduction to o1 Pro and its capabilities 27:15 Jevons paradox applied to AI technology 29:30 Overview of Powerline, Christian's "AI Chief of Staff" product 34:45 Examples of Powerline's practical applications 38:15 Christian's journey in learning programming through AI 41:00 Future of work predictions: remote, asynchronous, and AI-mediated 45:30 The shift towards fractional and gig economy work 48:45 Advice for adapting to the changing work landscape 52:30 Final tips and resources for getting started with AI tools

Amjad Masad is the co-founder and CEO of Replit, a browser-based coding environment that allows anyone to write and deploy code. Replit has 34 million users globally and is one of the fastest-growing developer communities in the world. Prior to Replit, Amjad worked at Facebook, where he led the JavaScript infrastructure team and contributed to popular open-source developer tools. Additionally, he played a key role as a founding engineer at the online coding school Codecademy. In our conversation, Amjad shares:• A live demo of Replit in action• How Replit's AI agent can build full-stack web applications from a simple text prompt• The implications of AI-powered development for product managers, designers, and engineers• How this might reshape companies and careers• Why being “generative” will become an increasingly valuable skill• “Amjad's law” and how learning to debug AI-generated code is becoming ever more valuable• Much more—Brought to you by:• WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs• Persona—A global leader in digital identity verification• LinkedIn Ads—Reach professionals and drive results for your business—Find the transcript at: https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad—Where to find Amjad Masad:• X: https://x.com/amasad• LinkedIn: https://www.linkedin.com/in/amjadmasad/• Website: https://amasad.me/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Amjad Masad and Replit(02:41) The vision and challenges of Replit(06:50) Replit's growth and user stories(10:49) Demo of Replit's capabilities(16:51) Building and iterating with Replit(25:04) Real-world applications and use cases(30:13) The technology stack(33:48) The evolution of Replit and its capabilities(39:36) The future of AI in software development(44:04) Skills for the future: generative thinking and coding(47:26) Amjad's law(50:36) Replit's new developments and future plans—Referenced:• Replit: https://replit.com/• Cursor: https://www.cursor.com• Aman Mathur on LinkedIn: https://www.linkedin.com/in/aman-mathur/• Node: https://nodejs.org/en• Claude: https://claude.ai/• Salesforce: https://www.salesforce.com/• Wasm: https://webassembly.org/• Figma: https://www.figma.com/• Codecademy: https://www.codecademy.com/• Hacker News: https://news.ycombinator.com/news• Paul Graham's website: https://www.paulgraham.com/• Jevons paradox: https://en.wikipedia.org/wiki/Jevons_paradox• Anthropic: https://www.anthropic.com/• Open AI: https://openai.com/• Amjad's tweet about “society of models”: https://x.com/amasad/status/1568941103709290496• About HCI: https://www.designdisciplin.com/p/hci-profession• Taylor Swift's website: https://www.taylorswift.com/• Andrew Wilkinson on LinkedIn: https://www.linkedin.com/in/awilkinson/• Haya Odeh on LinkedIn: https://www.linkedin.com/in/haya-odeh-b0725928/• Amjad's law: https://x.com/snowmaker/status/1847377464705896544• Ray Kurzweil's website: https://www.thekurzweillibrary.com/• God of the gaps: https://en.wikipedia.org/wiki/God_of_the_gaps—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

In this episode, we honor the memory of Abhishek Gupta, who was an instrumental figure in the Green Software Foundation and a Co-Chair of the Standards Working Group. Abhishek's work was pivotal in the development of the Software Carbon Intensity (SCI) Specification, now adopted globally. His tireless efforts shaped the future of green software, leaving an indelible mark on the industry. As we remember Abhishek, we reflect on his legacy of sustainability, leadership, and friendship, celebrating the remarkable impact he had on both his colleagues and the world. We are airing an old episode that featured Abhishek Gupta, Episode 5 of Environment Variables. Where host Chris Adams is joined by Will Buchanan of Azure ML (Microsoft), Abhishek Gupta; the chair of the Standards Working Group for the Green Software Foundation and Lynn Kaack, assistant professor at the Hertie School in Berlin to discuss how artificial intelligence and machine learning impact climate change. They discuss boundaries, Jevons paradox, the EU AI Act, inferencing and supplying us with a plethora of materials regarding ML and AI and the climate!

This episode is a captivating conversation with Richard Socher, serial entrepreneur, investor, and AI researcher. Richard elaborates on why he likens the impact of AI to the Industrial Revolution, the Enlightenment, and the Renaissance, discusses important current issues in AI, such as scaling laws and agents, provides a behind-the-scenes tour of YOU.com and its evolving business model, and finally describes his current investment strategy in AI startups. You.com Website - https://you.com/business Twitter - https://x.com/youdotcom Richard Socher LinkedIn - https://www.linkedin.com/in/richardsocher Twitter - https://x.com/richardsocher FIRSTMARK Website - https://firstmark.com Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ Twitter - https://twitter.com/mattturck (00:00) Intro (02:00) "AI era is the Industrial Revolution, Renaissance, and the Enlightenment combined" (07:49) Top-performers in the Age of AI (11:15) Comeback of the Renaissance Person (13:05) People tried to stop Richard from doing deep learning research. Why? (14:34) Jevons paradox of intelligence (17:08) Scaling Laws in Deep Learning (23:23) Can Deep Learning and Rule-Based AI coexist? (25:42) Post-transformers AI Architecture (28:20) Achieving AGI and ASI (36:43) AI for everyday tasks: how far is it? (44:50) AI Agents (55:45) Evolution of You.com (01:02:11) Technical side of You.com (01:06:46) Is AI getting cheaper? (01:13:05) What is AIX Ventures? (01:16:36) VC landscape of 2024 (01:24:31) Research vs Entrepreneurship (01:26:12) OpenAI's transformation and its impact on the industry

Gli effetti "indesiderati" delle nuove Tecnologie

We live in a burning world. As we record, there are record wildfires across the Americas, record temperatures around the world, falling oxygen levels in the oceans and however much supposedly renewable energy we produce, Jevons' Paradox means we keep on burning fossil fuels.  This is not a great combination, but even the so called renewables have more under the hood than appears on the surface.  Burning wood - or grasses - for 'Green' Energy is both a massive accounting scam and one of the ways that the predatory industrial complex sucks in eye-watering quantities of public money - while selling us the lie that this is somehow net zero.  It isn't, but sometimes we need someone who really knows what they're talking about to spell out the details for us and this week, our guest is one of those people. Dr. Mary Booth is the founder and director of the Partnership for Policy Integrity, a Massachusetts-based think tank that uses science, communications, and strategic advocacy to protect forests and our climate future. Mary worked as Senior Scientist in the Environmental Working Group in the US, working on water quality. Now, she directs the PFPI's science and advocacy work on greenhouse gas, air pollutant, and forest impacts of biomass energy and has provided science and policy support to hundreds of activists, researchers, and policy makers across the US and EU - and now that the UK is no longer in the EU (sigh) in the UK as well.  I heard Mary on the Economics for Rebels podcast back in February and was blown away by her grasp of the essential science, and also by the sheer mendacity of the companies involved: the lies they tell, the false accounting they use and the extent to which they are destroying the biosphere to give us - or at least, those who set our policies and spend public money - an illusion of somehow being more 'green', more sustainable, more ethical.  I wanted to give listeners to Accidental Gods the chance to hear Mary in action, so here we are: people of the podcast, please welcome Dr Mary Booth of the Partnership for Policy Integrity. Partnership for Policy Integrity  https://www.pfpi.net/PFPI international work https://www.pfpi.net/international-work/Guardian article by Greta Thunberg https://www.theguardian.com/world/commentisfree/2022/sep/05/burning-forests-energy-renewable-eu-wood-climateLand Climate Blog https://www.landclimate.org/the-problem-of-bioenergy-in-the-eu/Forest Defenders Alliance (EU) https://forestdefenders.eu/Forest Litigation Collaborative https://forestlitigation.org/BBC Panorama: Green Energy Scandal Exposed https://vimeo.com/795555785/c6e9420ff6

My guests for Episode #512 of the Lean Blog Interviews Podcast are two of three co-authors of the upcoming book “Leading Excellence: 5 Hats of the Adaptive Leader” - Brad Jeavons and Stephen Dargan. Episode page with video, transcript, and more Stephen Dargan A diverse and inclusive, customer-centric, driven transformational leader with 20+ years of leadership experience spanning Australia and Europe. Stephen is a Shingo Institute Alumni, Shingo Facilitator and Examiner. He is a graduate of the Australian Institute of Company Directors and a certified Lean Six Sigma Black Belt. Brad Jeavons Brad Jeavons is a senior leadership coach focused on helping improve themselves and their organisations to create a better future economically, socially and environmentally for future generations. He is host of the Enterprise Excellence Podcast and Community and author of the book Agile Sales: Delivering Customer Journeys of Value and Delight. Brad was a guest back in episode 416, June 2021. In this episode, Brade and Steve share insights into the key concepts of adaptive leadership, including the importance of understanding individual team members, cultivating psychological safety, and the five essential leadership hats: Inspire, Train, Support, Coach, and Direct. Brad and Stephen also discuss real-life applications, the significance of leadership shadow, and the critical role of serving the growth of others to drive organizational excellence. Questions, Notes, and Highlights: What are some factors contributing to low employee engagement? Can you elaborate on the concept of the leadership shadow and its impact? What behaviors help cultivate psychological safety and engagement? What does it mean to be a leader who serves, and why is it important? How can leaders develop the ability to be adaptive or situational? What are the five hats referenced in the subtitle of your book? Why is controlling emotions crucial for leaders, and how can they improve this skill? The podcast is brought to you by Stiles Associates, the premier executive search firm specializing in the placement of Lean Transformation executives. With a track record of success spanning over 30 years, it's been the trusted partner for the manufacturing, private equity, and healthcare sectors. Learn more. This podcast is part of the #LeanCommunicators network. 

María Blanco González es una académica y economista española, especializada en Historia del Pensamiento Económico, Historia Económica, Teoría económica, Historia de los modelos empresariales y Políticas públicas. Obtuvo su doctorado en Economía por la Universidad Complutense de Madrid. Es profesora en la Universidad CEU-San Pablo desde 1996. También fue profesora del Máster en Economía de la Escuela Austriaca en la Universidad Rey Juan Carlos durante casi 7 años.En esta apasionante charla debatimos diversos temas clave de economía e inversión desde la perspectiva de la Escuela Austriaca: procesos dinámicos evolutivos frente a enfoques estáticos, la importancia de los precios como fuente de información, el papel clave del tiempo en las decisiones empresariales y los efectos de las políticas monetarias expansivas. También analizamos la teoría del capital, la subjetividad del valor, y cómo los sesgos humanos y la incertidumbre influyen en la economía y las inversiones.Apoya este podcast visitando a los patrocinadores:Interactive Brokers: Un broker con acceso a mercados de todo el mundo.Indexa Capital: Ahorra comisiones dándote de alta con mi código.EVO Cuenta Inteligente Indice de temas comentados0:00:00 Teaser0:01:01 Descubrimiento de la Escuela Austriaca de Economía0:02:41 Tesis doctoral0:06:33 Cómo Paramés descubre a la escuela austriaca0:16:21 Carl Menger, el fundador de la escuela0:21:26 Enfoque evolucionista0:22:18 La revolución marginalista de Menger, Jevons y Walras0:23:14 El mercado como un proceso dinámico0:23:20 Controles de precios0:23:28 Precios como información0:37:27 Incertidumbre y tiempo0:39:33 El desastre de los controles de precios0:42:48 Teoría del capital0:48:56 Sesgos humanos basados en la evolución0:57:07 Visión de la familia extendida en China1:01:13 Enfoque mecanicista en economía versus enfoque biológico1:03:00 Keynes y sus inversiones en Bolsa1:06:32 La importancia del error1:07:10 Incentivos1:10:14 La necesidad de control1:12:19 Teoría subjetiva del valor1:14:33 Precios como fuente clave de información1:15:42 Los peligros de agregar1:17:08 Israel Kirzner: el empresario perfecto está alerta a las oportunidades sin explotar1:19:30 Factor X de Javier G. Recuenco1:21:16 Proceso descubrimiento de los precios1:28:09 Bancos Centrales y decisiones por comité1:30:03 Efectos de las políticas monetarias expansivas1:38:47 Del patrón oro al dinero fiat1:48:00 Dinero como institución evolutiva (Menger)1:56:19 Aceleración en la evolución2:02:13 Bitcoin y CBDCs2:02:56 Nuevas aportaciones de la Escuela austriacaMás info con enlaces a los libros y contenidos comentados en:https://www.rankia.com/blog/such/6449487-91-escuela-austriaca-economia-inversion-maria-blanco

We all want a better life, but is our pursuit of it actually making us happier? In many instances, the answer is no. This is where the Jevons paradox comes in. The Jevons Paradox is named for the nineteenth-century economist William Stanley Jevons. He noticed that as steam engines, powered by coal, became ever more efficient, Britain's appetite for coal increased rather than decreased.The paradox still exists today. The latest renewable energy technologies are not resulting in a decrease in climate change for instance. I think this same principle applies to our desire to make a better life for ourselves. Today, the latest ideas on how to be better and have a better life (look better, get richer, have more and better stuff, achieve more success) can lead to unintended consequences.It turns out that pursuing ever-more activities designed to make ourselves and our lives better often leads us to feel greater stress, dissatisfaction and disconnection with the things that truly matter.The problem isn't the actual technology or wanting to make positive changes. The problem starts within, with a simple mindset shift. In this episode, I offer a way to counter the Jevons paradox and become more self-aware, genuinely happy and authentic.Key Links:Melli O'Brien: https://melliobrien.comGet your free Deep Resilience Care Package: https://melliobrien.com/#deep-resilience-care-package

Recibe el podcast completo en tu correo: https://nofinancieros.substack.com/p/openai-agi-jevons-y-mas-ia ▶ Web: https://www.nofinancieros.com/ ▶ Club: https://www.clubnofinancieros.com/ ▶ Newsletter: https://nofinancieros.substack.com/ ▶ Twitter: https://twitter.com/nofinancieros ▶ Youtube: https://www.youtube.com/@nofinancieros

Lyn Alden joins the Freedom Footprint Show to talk about how Bitcoin fixes the broken money system. Lyn is the author of Broken Money, partner at Ego Death Capital, and a renowned macro analyst focusing on Bitcoin.  Key Takeaways:

Expanding highways and adding lanes doesn't solve traffic. If it did, the cities that have been doing so for decades would have fixed their traffic woes. But, they're worse than ever. Through the continuously misguided approach to transportation, we've learned a lot about the principle of induced demand, and Jevons paradox. In short, when we increase capacity in the name of efficiency, what we actually increase is demand and use. Thus, efficiency actually goes down. What if we were to induce the demand for other methods of transportation? With more and better bike infrastructure, would we not see a rise in those biking? Paris has done just this, and it is working. Biking has now passed driving in the city, as a means of transportation. Your move, *insert name of American city*. For context: A great walkthrough on why expanding highways doesn't solve traffic (via Business Insider). Increased roadway capacity induces additional vehicle miles traveled in the short-run, and even more in the long-run (via National Center for Sustainable Transportation). Shots of the Salt River Shore and Rio Salado Pathway in Phoenix, Arizona (via AllTrails). Connecting with me, Brad: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠On Instagram.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠On TikTok⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠On LinkedIn⁠⁠.⁠⁠⁠⁠⁠⁠

The latest guest on our Bred a Blue podcast series is former striker Phil Jevons. Jevons joined the Everton Academy as a schoolboy and went on to make nine senior appearances under Walter Smith. He recalls his early days at Netherton and Bellefield when the ‘friendly and challenging environment' helped him develop, playing alongside the likes of Leon Osman, Franny Jeffers, Danny Cadamarteri, Michael Ball, Richard Dunne and Jamie Milligan. Jevons also played against international footballers when he reached the reserve team: “We played Manchester United at Old Trafford and they had Scholes, Jordi Cruyff and Solskjaer.” The Liverpool-born centre-forward helped Everton to win the FA Youth Cup in 1998 and the FA Premier Reserve League in 2001 – and in between he made his senior debut away at Blackburn Rovers. "I'd been top scorer for the reserves for three years on the run, so I felt like I was ready,” Jevons said. He went on to have a hand in the Everton goal in a 2-1 defeat: “I played an early ball to Don Hutchison and he found Bakayoko who scored.” The turn of the century was a challenging time to be a young striker at Everton because the competition was intense. Jevons was battling with Duncan Ferguson, Franny Jeffers, Kevin Campbell, Nick Barmby, Ibrahim Bakayoko and Danny Cadamarteri for a starting role. It was the subsequent arrivals of Joe-Max Moore and Mark Hughes that convinced Jevons that his future lay beyond Goodison Park “Joe-Max Moore was a good player and a great lad but I didn't think he was any better than I was,” he says. “But my squad number went up from 20 to 26 so I had an inkling!” Jevons left Everton with no regrets and during the podcast conversation he reveals the player who had the biggest influence on him during his time with the senior squad. “He was fantastic with me. He was the ultimate professional, fit as a fiddle. He told me how to live my life, how to eat and how to train.” He left Everton in 2001 and joined Grimsby Town, for whom he scored a never-to-be-forgotten League Cup winner at Anfield against Liverpool! “I still get Evertonians coming up to me to talk about that goal!” Jevons went on to have personal and team success with Yeovil Town and Bristol City before winding down his playing career and moving into coaching – starting off at the Everton Academy where he was involved in the development of Kieran Dowell, Nathan Broadhead, Liam Walsh, Tom Davies and Calum Connolly. Jevons left Finch Farm to join Sunderland and he speaks honestly and with clarity about the ruthlessness of senior coaching environments. It's another fascinating football story that has its roots at the Everton Academy.

In episode 120 of The Gradient Podcast, Daniel Bashir speaks to Sasha Luccioni.Sasha is the AI and Climate Lead at HuggingFace, where she spearheads research, consulting, and capacity-building to elevate the sustainability of AI systems. A founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events and serving as a mentor to under-represented minorities within the AI community.Have suggestions for future podcast guests (or other feedback)? Let us know here or reach Daniel at editor@thegradient.pubSubscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterOutline:* (00:00) Intro* (00:43) Sasha's background* (01:52) How Sasha became interested in sociotechnical work* (03:08) Larger models and theory of change for AI/climate work* (07:18) Quantifying emissions for ML systems* (09:40) Aggregate inference vs training costs* (10:22) Hardware and data center locations* (15:10) More efficient hardware vs. bigger models — Jevons paradox* (17:55) Uninformative experiments, takeaways for individual scientists, knowledge sharing, failure reports* (27:10) Power Hungry Processing: systematic comparisons of ongoing inference costs* (28:22) General vs. task-specific models* (31:20) Architectures and efficiency* (33:45) Sequence-to-sequence architectures vs. decoder-only* (36:35) Hardware efficiency/utilization* (37:52) Estimating the carbon footprint of Bloom and lifecycle assessment* (40:50) Stable Bias* (46:45) Understanding model biases and representations* (52:07) Future work* (53:45) Metaethical perspectives on benchmarking for AI ethics* (54:30) “Moral benchmarks”* (56:50) Reflecting on “ethicality” of systems* (59:00) Transparency and ethics* (1:00:05) Advice for picking research directions* (1:02:58) OutroLinks:* Sasha's homepage and Twitter* Papers read/discussed* Climate Change / Carbon Emissions of AI Models* Quantifying the Carbon Emissions of Machine Learning* Power Hungry Processing: Watts Driving the Cost of AI Deployment?* Tackling Climate Change with Machine Learning* CodeCarbon* Responsible AI* Stable Bias: Analyzing Societal Representations in Diffusion Models* Metaethical Perspectives on ‘Benchmarking' AI Ethics* Measuring Data* Mind your Language (Model): Fact-Checking LLMs and their Role in NLP Research and Practice Get full access to The Gradient at thegradientpub.substack.com/subscribe

In Episode 9 of Season 4 of the BSuite podcast, host Anne Richardson interviews Tim Frick, founder and president of Mightybytes. MightyBytes is a B Corp certified digital marketing agency that serves social enterprises, sustainable brands, and large nonprofits.  Tim is an active leader and educator throughout the B Corp community and the digital marketing space. In the episode, he shares how he established Mightybytes' Impact Business Models, the challenges that come with using digital marketing tactics in ethical ways, and how business leaders can achieve success while adopting a sustainable mindset.   LINKS/RESOURCES MENTIONED: Mightybytes: https://www.mightybytes.com/ B Lab: https://usca.bcorporation.net/ Jevons paradox: https://en.wikipedia.org/wiki/Jevons_paradox Sustainability & The Web: Tim's TedX Talk: https://www.youtube.com/watch?v=qW75oJszcws Solitaire Townsend's LinkedIn Post: https://www.linkedin.com/feed/update/urn:li:activity:7149030234300809217/ EcoGrader: https://ecograder.com/  Siteground: https://www.siteground.com/  Designing for Sustainability: A Guide to Building Green Digital Products and Services by Tim Frick: https://bookshop.org/p/books/designing-for-sustainability-a-guide-to-building-greener-digital-products-and-services-tim-frick/8133175?ean=9781491935774 Gaia Education: https://www.gaiaeducation.org/ World Wide Web Consortium's Web Sustainability Guidelines https://sustainablewebdesign.org/ Alliance for the Great Lakes: https://greatlakes.org/

As our guest today writes,“Every cell in our body contains protein. You need protein in your diet as it's essential for repairing and rebuilding, especially muscle post-exercise. This makes protein a fundamental nutrient to consider in more depth if you're an active individual.”But, how much do we need? Do the needs of endurance athletes differ from those of strength athletes? How do our protein needs change during our cycles, or even into menopause?Dr. Emily Jevons answers those questions and more as we take a deep dive into protein in this episode. Emily has a PhD in Exercise Physiology and Nutrition. She is a lecturer in nutrition specializing in sports nutrition, exercise physiology/metabolism, and eating disorders. She and Sara unravel some of the questions and confusion around protein, including:how much you need to support your activitiesprotein intake comparisons for athletes based on body weight and activity levelwhen protein powders and beneficial supplementsprotein and carbohydrate needs and options post-exerciseprotein suggestions for vegans & vegetariansgood sources of protein for both omnivores and herbivoresHow protein needs may differ during your monthly cycleTake homes: Try to consume protein at regular intervals throughout the day, consider each meal and if there is a protein source. Choose high-quality proteins with high amounts of essential amino acids (leucine is very important for muscle building), these are amino acids our bodies can't produce ourselves. Follow Emily Jevons: @emilyjevonsnutrition@emilyj.triRecommendation conversions:0.8g per kg BW (0.36g per lb) general population1.3-1.7g per kg BW (0.60-0.77g per lb) for strength training but some people may benefit going up to 2g per kg per BW (0.91g per lb)1.2-1.4g per kg BW (0.55-0.64 per lb) for endurance training but a higher protein intake might be recommended when doing more frequent, prolonged or high-intensity endurance sessions or when training with low glycogen availability.Review on fuelling the female athlete specifically states 1.2-1.5g per kg of body weight consumed as 4-5 meals of 0.3g per kg body weight.Moore DR, Sygo J, Morton JP. Fuelling the female athlete: Carbohydrate and protein recommendations. Eur J Sport Sci. 2022 May;22(5):684-696. doi: 10.1080/17461391.2021.1922508. Epub 2021 May 20. PMID: 34015236.Research paper: distributing 30g of protein at each meal, resulted in greater muscle protein synthesis (i.e. how we build muscle) than a meal pattern that skewed most of the protein toward dinner with small amounts at breakfast and lunch.Mamerow MM, Mettler JA, English KL, Casperson SL, Arentson-Lantz E, Sheffield-Moore M, Layman DK, Paddon-Jones D. Dietary protein distribution positively influences 24-h muscle protein synthesis in healthy adults. J Nutr. 2014 Jun;144(6):876-80. doi: 10.3945/jn.113.185280. Epub 2014 Jan 29. PMID: 24477298; PMCID: PMC4018950.Sign up to Receive The Feist Newsletter:https://www.womensperformance.com/the-feist Follow us on Instagram:@feisty_womens_performance Feisty Media Website:https://livefeisty.com/ https://www.womensperformance.com/ Support our Partners:The Amino Co: Shop Feisty's Favorite 100% Science-Backed Amino Acid Supplements. Enter code PERFORMANCE at Aminoco.com/PERFORMANCE to Save 30% + receive a FREE gift for new purchasers! *SPECIAL BLACK FRIDAY DEAL - SAVE 50% OFF 11/23-11/25* Previnex: Get 15% off your first order with code PERFORMANCE at https://www.previnex.com...

Noah Waisberg is the co-founder and CEO of Zuva.ai and the former co-founder and CEO of Kira Systems. He has worked for more than a decade on artificial intelligence and its application in the legal industry, beginning his work long before anyone had heard of Transformers and GPT. He is also the author of two books on artificial intelligence: "AI for Lawyers" which, as the title suggests, is focused on AI and its use by lawyers; and "Robbie the Robot Learns to Read", likely the first children's book aiming to teach younger readers about machine learning concepts. Naturally, with Noah we discussed many issues related to artificial intelligence, including: * What it was like selling AI systems to lawyers in the early 2010s * How AI adds value in the legal industry * The ability of AI to capture, distribute and amplify legal expertise * Jevons paradox and how it relates to AI in the legal industry * The role of generative AI in contract review and other legal use cases * The extent to which generative AI levels the legal tech playing field LINKS Noah on LinkedIn: https://www.linkedin.com/in/noahwaisberg Noah on X: https://twitter.com/nwaisb "AI for lawyers" book: https://tinyurl.com/mx4t5nh6 "Robbie the Robot Learns to Read" book: https://tinyurl.com/3c9pjf6r

Jim talks with Tobias Dengel about the ideas in his book The Sound of the Future: The Coming Age of Voice Technology. They discuss the idea that voice tech will be the biggest shift since mobile, the problem of public babble, positives & negatives of current voice tech, changing norms around speaking to devices, Wireless Application Protocol (WAP), using LLMs through a voice interface, improving communication cycles for incapacitated people, smart speakers vs smart mics, problems with the voice-to-voice paradigm, multimodal use cases, using voice interfaces for writing, finetuned LLMs in combination with voice tech, using LLMs to check each other, Jim's method for reducing LLM hallucinations, improving agent performance in customer service, the state of the art in voice-to-text, Baumol's cost disease, the Jevons paradox, a golden age of innovation, Talon hands-free input, the possibility of a pushback against public babble, coming changes in medicine, privacy issues & the industry's violation of trust, the uncanny valley, concurrent communication, a new horizon for video games, low-hanging fruit, interfaces between humans and robots, innovations in model testing & training, selecting models, an arms race between models creating content & models curating content, the info agent opportunity, the human capacity for interruptions, defending attention & flow, whether voice tech will make interruptions better or worse, and much more. Transcript The Sound of the Future: The Coming Age of Voice Technology, by Tobias Dengel with Karl Weber Talon JRS EP123 - Jamie Wheal on Recapturing the Rapture Tobias Dengel is president of WillowTree, a TELUS International Company, a global leader in digital product design and development, with 13 offices in North America, South America and Europe, headquartered in Charlottesville VA. The company has been named by Inc. magazine to the Inc. 5000 list of America's fastest growing companies for 11 straight years. WillowTree's clients include some of the best-known brands in the world, such as T Mobile, Mastercard, Capital One, HBO, Fox, Time Warner, PepsiCo, Regal Cinemas, Charles Schwab, Johnson & Johnson, Lidl, Wyndham Hotels, Hilton Hotels, Holiday Inn, Canadian Broadcasting Corp, Synchrony Bank, Edward Jones Investments, and National Geographic. These industry leaders trust WillowTree to design and develop their websites, apps, internal systems and voice interfaces.

This Week in Startups is presented by: Squarespace. Turn your idea into a new website! Go to https://Squarespace.com/TWIST for a free trial. When you're ready to launch, use offer code TWIST to save 10% off your first purchase of a website or domain. Release. Large enterprises pose unique challenges for SaaS startups. Unlock customers with unique needs for private and single-tenant hosting without the toil of DIY with Release Delivery. Get your first month free at https://release.com/twist . Notion just launched Notion Projects, which includes new, powerful ways to manage projects and leverage the power of their built-in AI features too. Try it for free today at https://notion.com/twist. * Todays show: Rory Sutherland joins Jason to cover an almost unbelievable range of topics. The limits of this conversation know no bounds! Don't miss this one. Follow Rory: https://twitter.com/rorysutherland * Time stamps: (00:00) Rory Sutherland joins Jason (2:28) Broad adoption of video conferencing (7:26) Unpacking simple social norms (11:46) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://Squarespace.com/TWIST (13:05) The importance of framing and the role of reliability (15:04) The pandemic's influence on video conferencing trends (18:46) A.I.'s role in a post-pandemic world (21:53) Application of A.I. (22:45) Brainstorming and how the human brain functions (23:44) Rory Vs. ChatGPT brainstorming unique soda flavors (28:43) Release - Get your first month free at ⁠https://release.com/twist (30:12) ChatGPT's response (34:55) The behavioral science behind AI suggestions to humans (36:34) Tolerating eccentricity within the ad industry (38:42) The disproportionate faith in AI vs Humans (41:04) Notion - Try it for free today at notion.com/twist (42:30) AI and the dormant fallacy (55:57) What is driving the next generation (57:59) Modern work trends: Vacation time, the four-day weekend, and flexible work (01:07:26) The Jevons paradox in Economics and the WGA strike (01:16:19) Technology that doesn't quite think like a human (01:22:30) The Elgin Marbles controversy (01:25:16) Reevaluating the concept of retirement age (01:28:24) The startup surge in UAE (01:32:53) Promoting social freedom, betting on startups, and marketing outrageous products (01:44:25) Discussing historical houses and the Ennis house * Read LAUNCH Fund 4 Deal Memo & Apply for Funding Buy ANGEL Great recent interviews: Brian Chesky, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland, PrayingForExits, Jenny Lefcourt Check out Jason's suite of newsletters: https://substack.com/@calacanis * Follow Jason: Twitter: https://twitter.com/jason Instagram: https://www.instagram.com/jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis * Follow TWiST: Substack: https://twistartups.substack.com Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin * Subscribe to the Founder University Podcast: https://www.founder.university/podcast