Podcasts about Chief research officer

John Maytham is joined by Dr Ross Harvey, mining analyst and Chief Research Officer at Good Governance Africa, to unpack the storm brewing over the draft amendments to the Minerals and Petroleum Resources Development Act (MPRDA). Speaking at the Junior Mining Indaba, critics slammed the bill as a throwback to the controversial 2017 “Zwane Bill”, accusing the Department of Minerals and Petroleum Resources of repeating past mistakes. Presenter John Maytham is an actor and author-turned-talk radio veteran and seasoned journalist. His show serves a round-up of local and international news coupled with the latest in business, sport, traffic and weather. The host’s eclectic interests mean the program often surprises the audience with intriguing book reviews and inspiring interviews profiling artists. A daily highlight is Rapid Fire, just after 5:30pm. CapeTalk fans call in, to stump the presenter with their general knowledge questions. Another firm favourite is the humorous Thursday crossing with award-winning journalist Rebecca Davis, called “Plan B”. Thank you for listening to a podcast from Afternoon Drive with John Maytham Listen live on Primedia+ weekdays from 15:00 and 18:00 (SA Time) to Afternoon Drive with John Maytham broadcast on CapeTalk https://buff.ly/NnFM3Nk For more from the show go to https://buff.ly/BSFy4Cn or find all the catch-up podcasts here https://buff.ly/n8nWt4x Subscribe to the CapeTalk Daily and Weekly Newsletters https://buff.ly/sbvVZD5 Follow us on social media: CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567 See omnystudio.com/listener for privacy information.

In this episode, HR Daily Advisor Content Director Erika Randall catches up with the delightful Ben Eubanks, author and Chief Research Officer at Lighthouse Research & Advisory, at SPARK HR 2025 in Disney Springs. Eubanks' research includes surveying thousands of workers each year to understand the latest workplace trends. In this podcast, Randall and Eubanks have a lively chat about Eubanks' books, the workshops he led at SPARK, and how to help HR leaders solve workplace issues using “innovation sprints.” Eubanks' books include: Artificial Intelligence for HR: Use AI to Support and Develop a Successful Workforce Talent Scarcity: How to Hire and Retain a Shrinking Workforce Payroll Promise: Trust, Not Just Transactions Did you miss SPARK HR this spring? Not to worry! Join us live in San Antonio at SPARK TALENT 2025 and get practical strategies focusing on workforce planning, talent acquisition, and AI-driven processes! Discover proven solutions from top HR thought leaders from PepsiCo, Walmart, Staples, The Coca-Cola Company, Marriott, and GE HealthCare, and get ready to adapt your talent strategy for the future.

Male contraception is the wave of the future that has stayed in the future, always about 10 years away no matter what decade you're living in.But, could that be about to change?Logan Nickels is Chief Research Officer with the Male Contraceptive Initiative. He joins Seán to discuss.

Male contraception is the wave of the future that has stayed in the future, always about 10 years away no matter what decade you're living in.But, could that be about to change?Logan Nickels is Chief Research Officer with the Male Contraceptive Initiative. He joins Seán to discuss.

As the S&P 500 closed higher for five consecutive sessions, the American equity benchmark posted its longest winning streak since November. Monday marked the fifth time in the past month the index fully wiped out an intraday gain or drop of 1% or more. The number of reversals already matches the total seen in the entire year of 2024. After the US close, President Donald Trump renewed criticism of Federal Reserve Chairman Jerome Powell as he championed his economic policies and tariff regime during a Tuesday event to mark his 100th day in office. We break down Trump's remarks with Joe Mathieu, Host of Bloomberg's Balance of Power. As uncertainty around US tariffs looms over global markets, investors in Asia are looking ahead to key economic data from China to get a sense of the macro environment. We speak with Mary Nicola, Bloomberg MLIV Strategist in Singapore. Plus - four of the so-called Magnificent Seven - Microsoft Corp., Apple Inc., Meta Platforms Inc. and Amazon.com Inc. - are due to report earnings this week. Analysts expect the group — which also includes Google-parent Alphabet, Tesla Inc. and Nvidia Corp. — to deliver an average of 15% profit growth in 2025, a forecast that's barely budged since the start of March despite the flareup in trade tensions. We preview the numbers with David Nicholson, Chief Research Officer at The Futurum Group.See omnystudio.com/listener for privacy information.

In this episode of the Wise Decision Maker Show, Dr. Gleb Tsipursky speaks to Joe Galvin, Chief Research Officer at Vistage, about why CEOs need to let their people experiment with Gen AI.To learn about and download the Vistage report titled "Generative AI: Automating the Knowledge Worker" go to https://www.vistage.com/research-center/business-operations/business-technology/20250331-gen-ai-proficiency-new-report/You can learn about Vistage at https://www.vistage.com/

Today, I'm speaking with Larry Swedroe. Larry is the former Chief Research Officer at Buckingham Strategic Wealth, an accomplished author with 18+ books on investing, and a true pioneer in evidence-based investing. He's also a well-known advocate for cutting through the financial media noise to focus on strategies that actually work. In Larry's latest book, Enrich Your Future: The Keys to Successful Investing, he distills decades of financial wisdom into 40 powerful stories that make investing principles easy to understand and apply. In our conversation, Larry shares the science behind behavioral finance and explains why most investors fall prey to emotional biases, media hype, and market timing traps. We also dive into why passive investing remains a leading strategy among investors, how to truly measure risk, and why a globally diversified portfolio beats stock-picking in the long run.  GET FREE ACCESS TO LARRY'S BOOK TITLED, ENRICH YOUR FUTURE: THE KEYS TO SUCCESSFUL INVESTING Here's all you have to do... Step 1.) Subscribe to the podcast and leave an honest rating & review over on iTunes. Step 2.) Text the word BOOK to 866-599-4491 and we'll make sure you get signed up for free. It's that simple! In this podcast interview, you'll learn: Why passive investing isn't just a trend—it's a game-changer for wealth-building. The biggest mistakes investors make and how to avoid them. The difference between risk and uncertainty, and why most investors get it wrong. Why the market is smarter than any single investor and what that means for your portfolio. How to structure an investment portfolio based on empirical research, not emotions. The surprising link between retirement, purpose, and mental health—especially for retired men. Show Notes: RetireWithPurpose.com/494

298 Dr Jason Hawrelak is a research scientist, educator, naturopath and Western herbalist with more than 18 years of clinical experience. Jason practices at Goulds Natural Medicine, a 136-year-old natural medicine apothecary and clinic located in central Hobart. He did his Honours and PhD degrees examining the causes of dysbiosis and the capacity of probiotics, prebiotics and herbal medicines to modify the gut microbiome and has written extensively in the medical literature on these topics – including 16 textbook chapters. He is on the Medical Nutrition Council of the American Society for Nutrition and was recently awarded a Fellowship from the American College of Nutrition for his significant contributions to the teaching and practice of nutrition in Australia and North America. Jason is also a Fellow of the Naturopaths and Herbalists Association of Australia. He is Chief Research Officer at ProbioticAdvisor.com, which offers a searchable database that enables easy, evidence-based prescribing of probiotic products and online resources for clinicians, and health-conscious members of the public, to learn more about the human microbiome and how they can positively influence these ecosystems. In this episode, we cover: What the faecal microbiome is made up of What faecal microbiota transplantation (FMT) is The history of FMT. Its use dates back to the 4th century in China and the 1950s Why it shows promise in inflammatory bowel disease Its impact on Parkinson's' disease and Alzheimer's The protocol/experience for patients and donors Jason's clinical experience with FMT and diet post-FMT The Healthy Gut Practitioner course (Naturopathic & Functional Medicine Approaches for GI Disorders Course). A course I am extremely excited to begin. See show notes for a special offer for the Love & Guts practitioner audience Show notes If you enrol in The Healthy Gut Practitioner course (Naturopathic & Functional Medicine Approaches for GI Disorders Course) using the following link https://tinyurl.com/yfy6kykp you will receive a free 1-year annual subscription to the Probiotic Advisor database and free access to one of Jason's other course Depression, Anxiety and the Gastrointestinal Tract Microbiota. Limited time offer only as there are only a few spaces available.    To access the free course, please email Helene (helene@probioticadvisor.com) after you enrol in The Healthy Gut Practitioner course (Naturopathic & Functional Medicine Approaches for GI Disorders Course). Helene will provide access to the Depression course and probiotics database as a bonus.   FMT Shop in the Netherlands discussed in the podcast   

Allen Wyma talks with Pete Membrey, Chief Research Officer at Kape Technologies. Pete is a software engineer with a passion for bringing technology to better the world. Contributing to Rustacean Station Rustacean Station is a community project; get in touch with us if you'd like to suggest an idea for an episode or offer your services as a host or audio editor! Twitter: @rustaceanfm Discord: Rustacean Station Github: @rustacean-station Email: hello@rustacean-station.org Timestamps [@00:00] - Meet Peter Memery, Chief Research Officer at ExpressVPN [@02:21] - Peter's programming journey and transition to ExpressVPN [@11:15] - Building Lightway: From C to Rust [@24:10] - Why Rust is ideal for high-performance, secure systems [@35:48] - How ExpressVPN collaborates and scales with Rust [@42:00] - Advice for Rust beginners and high-performance programming [@48:38] - ExpressVPN's contributions to open source and RUSTAsia 2025 [@54:48] - Why Rust is “the way forward” for the industry Other links RUSTAsia Conf 2025 Credits Intro Theme: Aerocity Audio Editing: Plangora Hosting Infrastructure: Jon Gjengset Show Notes: Plangora Hosts: Allen Wyma

This podcast is a recording of a webinar presented by Oonagh Gilvarry, Chief Research Officer at HCI. In this webinar, Oonagh discusses HIQA's one-year overview report on the monitoring and inspection of International Protection Accommodation Services (IPAS) centres.

In this episode of NUCLECAST, host Adam Lowther engages with Dr. Robert Kittinger to discuss various aspects of nuclear policy, including the importance of tritium production, the role of small modular reactors in military applications, and the interconnectedness of nuclear energy and weapons. They explore the implications of denuclearization and the need for a dedicated supply chain for nuclear components, while also addressing the historical context of nuclear deterrence and its significance in maintaining global peace.Dr. Kittinger, is a Senior Fellow at the National Institute for Deterrence Studies (NIDS). He spent 10 years at Sandia National Laboratories, culminating in the Nuclear Threat Science department and working in Nuclear Emergency Support and Counterterrorism & Counter-Proliferation (CTCP). During his time at Sandia, he was also a 2017 graduate of the prestigious Weapon Intern Program (WIP).Before joining Sandia, Dr. Kittinger spent over five years as a civilian in the U.S. Navy and was part of a five-person tech startup, BookLamp, which was acquired by Apple in 2013. Following his tenure at Sandia, he served as a senior researcher at Amazon and currently holds the role of Chief Research Officer at a MedTech company.Chapters00:00 Introduction to NUCLECAST and Guest Introduction01:14 Presidential Address and Nuclear Policy Discussion03:40 Tritium Production and Its Importance12:10 Challenges in Nuclear Supply Chain and Future Needs13:01 Small Modular Reactors and Their Military Applications18:04 Nuclear Energy and Weapons Interconnection20:31 Denuclearization and Global Peace Perspectives28:50 Wishes for the Future of Nuclear Energy and DeterrenceSocials:Follow on Twitter at @NucleCastFollow on LinkedIn: https://linkedin.com/company/nuclecastpodcastSubscribe RSS Feed: https://rss.com/podcasts/nuclecast-podcast/Rate: https://podcasts.apple.com/us/podcast/nuclecast/id1644921278Email comments and topic/guest suggestions to NucleCast@anwadeter.org

This podcast is a recording of a webinar presented by Oonagh Gilvarry, Chief Research Officer at HCI. In this webinar, Oonagh discusses the Health Act 2007 (Care and Welfare of Residents in Designated Centres for Older People) (Amendment) Regulations 2025 (S.I. No. 1 of 2025) which comes into effect on March 31, 2025, bringing significant updates to governance, infection prevention and control, residents' rights, criteria for persons-in-charge, and visiting. Understanding these changes is crucial for compliance and quality care. For more information, contact info@hci.care.

Mark Chen is the chief research officer at OpenAI. Chen joins Big Technology Podcast to discuss the debut of GPT 4.5, the company's largest model, which is going live today. In this bonus episode, Chen speaks about what the new model says about the AI scaling wall, how scaling traditional GPT models compares to reasoning models like OpenAI's o1, how important EQ is for AI models today, whether product matters more than models, and how OpenAI's talent bench looks after last year's departures. Tune in for an inside look at what it took to build OpenAI's newest and biggest large language model, and why OpenAI is committed to pushing the frontier forward.

If you're drowning in a sea of procurement tech, you need someone to throw a lifeline; and on this episode, Jonathan and Paul have found just the man. They are joined by Chief Research Officer and MD at Spend Matters, Pierre Mitchell. He'll guide us through all the latest tech and will teach us one or two new bits of jargon. Brought to you by Positive Purchasing. Produced by Fresh Air Studios, contact us to find out where to record a podcast in the South West!

AI has been one of the biggest talking points in HR for the past five years and it has already transformed the way HR operates. Whether you are already using it in your processes or are keen to experiment, this episode offers plenty of actionable tips on the best practices and use cases for AI.Joining the episode are Ben Eubanks, Chief Research Officer at Lighthouse Research and Advisory and BambooHR's Head of AI, Alan Whitaker, to share their experiences and advice for using AI the right way.Ethical considerations around bias are a conundrum for HR pros, but did you know that AI could actually help you stamp out those biases in the recruitment process? Alan and Ben share their tips on how you can use what you know about bias and train AIs to help rather than hinder the process. We hear how to best use AI across different levels of HR, including recruitment, retention, employee satisfaction, and learning and development.Key moments: Ben explains what's new in his recent book edition of Artificial Intelligence for HRThe problems with recruiters and candidates using AIThe upside of using AI in recruitmentHow AI can help to improve employee retentionUse cases for AI in HRHow AI can help in L&DTips for ensuring you use AI ethically Key links:Subscribe to HR Unplugged Series: https://www.bamboohr.com/resources/podcasts/hr-unplugged/Join HR Heroes Slack Community:https://join.slack.com/t/hrheroesworkspace/shared_invite/zt-21ad3f1r8-dkWC2EdmyhxUAHw9cGLdQwBamboo HR Homepage: https://www.bamboohr.com/Connect with Ben on LinkedIn: https://www.linkedin.com/in/beneubanks/Connect with Alan on LinkedIn: https://www.linkedin.com/in/digiduke/

In this episode of The Retail Pilot, host Ken Pilot interviews Dana Telsey, CEO and Chief Research Officer of Telsey Advisory Group. They explore key trends shaping the future of retail, including AI-driven personalization, shifting consumer behaviors, and the evolution of store formats. Dana shares insights on top-performing brands like Birkenstock, Warby Parker, and Abercrombie & Fitch, along with the challenges facing luxury retail and department stores. The discussion also covers tariffs, global supply chain shifts, and the increasing role of social media in retail strategy.Key Topics DiscussedDana Telsey's Career Journey – Her experience in equity research, investment banking, and retail strategyRetail Trends for 2025 – Personalization, curation, and the growing role of AI in retailTop Companies to Watch – Birkenstock, Warby Parker, Walmart, Abercrombie & Fitch, and LululemonLuxury Retail & Department Stores – The Saks-Neiman Marcus merger and the shift toward direct-to-consumer strategiesThe Impact of AI in Retail – Enhancing personalization, content creation, and supply chain managementSocial Media & Retail – The influence of TikTok and social commerce on brand visibilityThe Evolution of Physical Retail – The rise of pop-up shops, smaller store formats, and experiential retailTariffs & Global Production – How supply chain shifts and economic uncertainty affect pricingNike & Sneaker Market Competition – Challenges from rising brands like Hoka, On Running, and SkechersRetail Technology & Customer Experience – AI-powered POS, RFID, and real-time analytics in retailHighlights & Key TakeawaysAI & Personalization – Retailers are investing in AI to refine customer experiences and optimize operationsSuccess of Top Brands – Birkenstock's full-price strategy, Warby Parker's store model, and Abercrombie's resurgenceLuxury Retail Shifts – Direct-to-consumer is becoming the primary focus for major luxury brandsRetail Media Networks – Gaining traction but still proving their impact on sales and customer engagementPower of Social Media – TikTok has become a critical platform for understanding emerging consumer trendsTariffs & Rising Costs – Retailers are diversifying supply chains to reduce dependency on ChinaIn-Store Experience Matters – Brands like Skims and RH are leveraging immersive retail environmentsNike's Competitive Pressure – Facing challenges from new brands, Nike must redefine its market strategyRetail's Need for Agility – The most successful brands are those that adapt quickly to changing consumer demandsHosted by Ausha. See ausha.co/privacy-policy for more information.

Questa settimana ha suscitato molti commenti l'atteggiamento di Elon Musk nello studio ovale della Casa Bianca insieme al figlio X. Ma come va interpretato? Nella Big Story, insieme a Federica Setti, Chief Research Officer di GroupM e Managing Director di Choreograph, parliamo di come sta evolvendo il settore della pubblicità, tra digital e media tradizionali. Learn more about your ad choices. Visit megaphone.fm/adchoices

Jon is co-founder and CEO of Halcyon, which is building an endpoint solution fully focused on anti-ransomware. Halcyon recently raised at a $1B valuation in 2024. Jon started his career in cybersecurity consulting for a decade before joining Cylance in 2014 as Chief Research Officer. After his stint at Cylance, in 2017 Jon founded Boldend, which was building offensive cyber capabilities to be used by the US intelligence community for information gathering and electronic warfare. Boldend was acquired by Sixgen three years after Jon stepped down as CEO to start Halcyon given the critical impact of ransomware on US companies.

Amy Attaway, MD, hosts the latest ATS Breathe Easy episode with former ATS President Monica Kraft, MD, and Asthma and Allergy Network's Chief Research Officer, De De Gardner, DrPH, discuss the benefits and challenges of biologics for asthma. What factors guide selection of a specific biologic for asthma? When should a patient transition from one biologic to another? 08:15 What does shared decision making mean?09:12 How often does a patient need to take a biologic? 12:58 What if you need to renew your biologic but you've stopped taking your inhaler?21:53 What's a strategy for combining biologics for asthma?

Receiving a diagnosis of dementia requires a series of tests and a deep understanding of cognitive function. It also requires someone who can recognize the early signs. In short, the wait time for a dementia diagnosis is long. January is Alzheimer's Awareness Month, and to get a better understanding of the disease and the impact dementia has on the lives of the 750,000 Canadians living with it, Saskia Sivananthan, data scientist and neuroscientist specializing in dementia, former Chief Research Officer of the Alzheimer Society of Canada and founder and CEO of The Brainwell Institute joins Steve Paikin to discuss.See omnystudio.com/listener for privacy information.

In 2025, the HR landscape is already transforming–quickly. With AI moving from hype to reality, workforce cultures evolving, and organizations pausing to get their data and systems in order, leaders face both big opportunities and bigger decisions. To truly make sense of it all, we sat down with Stacey Harris, Chief Research Officer at Sapient Insights Group, whose decades of experience as both a practitioner and industry analyst give her a grounded, data-backed perspective on what HR teams need to focus on right now.From the rise of personalization and the cultural barriers blocking internal mobility to the critical role of managers and why workforce planning is finally having its moment, Stacey gave us a clear-eyed view of where HR is heading—and what's holding it back.She challenged us to think differently about what “engagement” truly means, the limitations of current AI applications, and why a company's culture—not its tech—might be the biggest obstacle to success in 2025.If you're ready to make sense of this rapidly changing landscape and get practical advice on how to navigate the year ahead, Stacey's insights are the perfect guide.You will want to hear this episode if you are interested in...Intro [0:00]Meeting Stacey Harris [4:26]2025 Trends in HR Tech [7:08]AI in HR: Hype vs. Reality [9:06]The Data Problem and Internal Mobility Challenges [12:47]Managers as Barriers and the Role of AI [18:00]Rethinking Engagement and Personalization [23:54]Workforce Planning's Evolution [38:20]Final Thoughts and Why Stacey Does the Work She Does [42:00]Resources & People MentionedSapient Insights Group – Sapient Insights Group WebsiteSierra-Cedar HR Systems Survey LightcastConnect with Stacey HarrisConnect on LinkedInConnect With Red Thread ResearchWebsite: Red Thread ResearchOn LinkedInOn FacebookOn TwitterSubscribe to WORKPLACE STORIES

In this episode, Jim Morgan, VP of Workforce Development at MRA, sits down with Ben Eubanks, Chief Research Officer at Lighthouse Research and Advisory. They discuss shifting HR practices from reactive to proactive, drawing insights from Ben's recent global research on workforce development. Episode Highlights: Key findings from global research on workforce trends. How to anticipate and address future HR challenges. Steps to create meaningful growth opportunities for employees. Insights from Ben's upcoming book on payroll and HR skill-building. Practical tips for small HR teams to implement proactive strategies. Whether you're part of a small HR team or a larger organization, this conversation offers actionable advice to stay ahead in 2025. Helpful Resources Contact Your Host, Jim Morgan About MRA Get HR assistance however, wherever, and whenever you need it. Plan your organization's strategies for growth. Find, develop, and retain the right people to build a high-performing workforce.  

Ben Eubanks is a writer, speaker, and researcher living in Huntsville, Alabama. His work has been featured in numerous industry publications and his books have been cited by some of the world's most prestigious universities as a method for instructing the next generation of HR professional. Ben spends his days as the Chief Research Officer for Lighthouse Research & Advisory, a firm that examines and delivers groundbreaking insights on the HR technology market as well as workforce trends in hiring, training, retention, and more.Mentioned on the ShowConnect with Ben on LinkedIn: https://www.linkedin.com/in/beneubanks Talent Scarcity: How to Hire and Retain a Shrinking Workforce by Ben Eubanks: https://a.co/d/akBprGPLighthouse Research Advisory: https://lhra.io/Listen to Loran Nordgren's return interview on People Business: https://peoplebusinesspodcast.com/lorannordgren2/________________________Connect with O'Brien McMahon on LinkedIn: https://www.linkedin.com/in/obrienmcmahon/Learn more about O'Brien: https://obrienmcmahon.com/________________________Timestamps(6:10) - Why did you write Talent Scarcity?(10:31) - Can you explain what has been happening with the birth rate in America?(14:59) - What's the difference between a scarcity and a shortage?(17:56) - How are companies approaching the people/talent scarcity dilemma?(26:04) - Where does the gig economy play into the scarcity discussion?(33:01) - How do you see companies shifting hiring to remain competitive in the coming market?(37:10) - What is the hidden labor market?(48:34) - How do you see organizations embracing this as part of the culture?(51:46) - Leading is reminding/the Forgetting Curve(56:10) - Do you see organizations doing anything different in how they market themselves to attract qualified applicants?(1:00:08) - Final thoughts: AI, the creativity killer? 

This week on Quality Matters, we dive into a complex discussion on the often perplexing landscape of the health care economy with guest Sanjula Jain, Chief Research Officer at Trilliant Health. This isn't your standard health policy chat; it's a bold exploration of how costs, value, and quality intersect—and often misalign—in America's health care system. Sanjula challenges us to rethink buzzwords like "value-based care" and "value for money," peeling back the layers to reveal stark realities behind these terms. Is our system delivering what we pay for, or are we caught in an unsustainable loop of rising costs and stagnant outcomes? The answers may surprise you.Sanjula combines sharp analysis with relatable analogies. Her insights into the difference between maximizing and optimizing value—and why the latter could save the health economy—offer a framework for health care enterprises seeking competitive advantage in a negative-sum game.The episode also spotlights the human element of health care economics, from patients delaying care due to unaffordable costs, to the flawed assumption that higher prices mean better outcomes. Sanjula doesn't mince words: The current system is failing and incremental policy tweaks aren't cutting it. But her optimism shines through as she calls on employers, voters and innovative thinkers to drive change. Key Quote: “Think about the airline industry and retailing, large consumer brands. They're constantly having to think about value and there ends up being fewer players. It's going to be interesting to see who is up for competing. Those who don't figure out a way to change their approach are going to be at a disadvantage. Nobody wants to say, “You are going to fail.” No one likes to talk about the bad things coming our way. But I view it as a warning. Hopefully some players are starting to think differently and understand nuances of their markets and how they can optimize. Because the optimization equation is going to look different for everybody.”-Sanjula JainTime Stamps:(02:05) Understanding Health Care Costs and Value(03:51) Value for Money vs. Value-Based Care(06:20) Optimizing vs. Maximizing Value(11:10) What Most People Get Wrong About Value(13:24) Quality Measurement and Digital SolutionsLinks:NCQA on Value-Based CareConnect with Sanjula Jain

This podcast is about big ideas on how technology is making life better for people with vision loss. Today, self-driving cars are all the buzz when it comes to cutting edge driving technology that could help people with vision impairmentdrive. But there are other, simpler technologies that are already helping people who are blind or visually impaired navigate behind the wheel - some of which draw on technology that's been around for hundreds of years! In this episode, Dr. Cal talks with Dr. Henry Greene, co-founder and president of Ocutech about their bioptic driving telescopes. These simple devices fit on top of a pair of conventional eyeglasses, and provide a wider field of vision for drivers with vision impairments. This has been shown to increase driver safety and confidence. The episode also features an interview with Dr. Bill Seiple, Lighthouse Guild's Chief Research Officer. He discusses how other technological advancements that are already in widespread use among all consumers - like GPS - are making it so everyone has to use their vision less while behind the wheel. Ultimately, the ability to pilot a car without relying on our vision isn't there yet. But with these and other technologies discussed in this episode, the day where none of us need to see to drive may be just around the corner!   The Big Takeaways Ancient Tech, Modern Design: Dr. Greene and his team succeeded in adapting telescopic technology that's existed since Galileo's time into a bioptic device that fits on top of a conventional pair of eyeglasses. Coupled with other innovations like an auto-focusing device, these bioptic driving assists can vision impaired drivers to see faraway objects with the clarity required for highway driving. Can Something You Use Only 1% of the Time Make You Safer?  Ocutech's bioptic driving telescopes aren't designed to be used all the time while driving. In fact, Dr. Greene estimates that his patients only use them between one and two percent of the time. This means that while they're a useful tool for very specific tasks on the road, drivers still need to be competent behind the wheel without bioptics. Per Dr. Seiple, research has shown that drivers with vision impairment tend to be intentional about where and when they drive, adding another layer of safety. GPS Makes Everything Easier: Thanks to 5G technology that can place a user anywhere on Earth within a few feet, GPS is making it so that everyone has to use their vision less when they're on the road . Is Driving a Visual Thing? As Dr. Seiple points out, visual acuity isn't of greatest importance behind the wheel. More important is attentiveness, knowing where you're going, and reaction time once something crosses your way, regardless of how sharply you can see it. This suggests that while cars may soon be able to pilot themselves, getting from one place to another may always require the competent guidance of a human.   Tweetables “GPS doesn't tell you that there's a box on the road or a policeman or a pedestrian or an animal or a deviation for construction. GPS won't tell you that stuff. And that's the stuff that you need to be able to anticipate problems and take the appropriate action while you're driving.” — Dr. Henry Greene, Ocutech Co-Founder & President “So, in tongue and cheek, you can say that I don't think driving is a visual thing. Turns out field is much more important than acuity for driving safety.” — Dr. Bill Seiple, Lighthouse Guild Chief Research Officer “These bioptics, they are a game changer for people with low vision… All my life I've actually had to get a ride or wait for someone. And I'm very, very, very independent. I don't like to wait for people..” — Crystal Davis, Ocutech Employee & Bioptic Telescope User   Contact Us: Contact us at podcasts@lighthouseguild.org with your innovative new technology ideas for people with vision loss.   Pertinent Links Lighthouse Guild Ocutech

In this episode, I'm joined by Larry Swedroe, a thought leader in evidence-based investing and former Chief Research Officer at Buckingham Strategic Wealth. Larry has authored over 18 books that have shaped the way people think about personal finance, and now, after 28 years in the industry, he's sharing the most valuable lessons he's learned in retirement planning and investing. In this episode, we dive into his latest book, Enrich Your Future: Keys to Successful Investing. Through 40 captivating stories, Larry exposes the myths and misconceptions that many investors hold, often perpetuated by Wall Street, and replaces them with clear, actionable strategies.  From understanding how overconfidence derails financial success to learning how to balance risk as you approach retirement, this conversation offers invaluable guidance for anyone looking to achieve financial independence. You will want to hear this episode if you are interested in... [1:33] Larry's process for writing a book [7:33] How the industry has embraced passive investing [17:19] Using tennis to explain the difficulties of active management [21:20] Why do we think we can outperform the market?  [26:57] What approach is prudent for most people? [30:08] Should retirees focus on dividend-producing investments?  [35:02] How to determine the amount of risk to take in your portfolio [39:23] Diving into the concept of indexed annuities  Resources Mentioned Retirement Readiness Review Subscribe to the Retire with Ryan YouTube Channel Connect with Larry Swedroe on LinkedIn The Only Guide to a Winning Investment Strategy You'll Ever Need Think, Act, and Invest Like Warren Buffett Your Complete Guide to a Successful and Secure Retirement Connect With Morrissey Wealth Management  www.MorrisseyWealthManagement.com/contact Subscribe to Retire With Ryan

The Asia Pacific (APAC) region holds immense potential for wind energy. From 2024 to 2030, APAC is expected to account for 61% of global new wind capacity. As the industry looks to ramp up the pace of new capacity installations, the APAC region has an important role in delivering the wind energy needed for the global net zero transition.  Mark Lee talks to Feng Zhao, Chief Research Officer at the Global Wind Energy Council (GWEC), and Breanne Gellatly, Renewables Partner at ERM, about what needs to be done to accelerate wind energy in Asia Pacific. They also discuss their new report on building the Asia Pacific wind energy supply chain for a 1.5°C world. Their conversation covers: Current challenges of accelerating wind energy development in APAC Tackling wind supply chain and installation bottlenecks in APAC Opportunities for APAC countries to scale up wind supply chains How different stakeholders can collaborate to reach APAC wind targets  Related link Building the Asia Pacific wind energy supply chain for a 1.5°C world - Global Wind Energy Council 

In our new world of AI, few minds shine as brightly as Bob McGrew's. Until November Bob was the Chief Research Officer at OpenAI, and before that led Palantir's engineering and product management for the first decade of its existence. He's seen it all and we were fortunate to get his insights and vision for the future in one of my favorite episodes of Unsupervised Learning to date: [0:00] Intro[0:44] Debating AI Model Capabilities[0:57] Inside vs Outside Perspectives on AI Progress[1:39] Challenges in AI Pre-Training[3:02] Reinforcement Learning and Future Models[3:48] AI Progress in 2025[5:58] New Form Factors for AI Models[8:56] Reliability and Enterprise Integration[18:14] Multimodal AI and Video Models[24:05] The Future of Robotics[32:46] The Complexity of Automating Jobs with AI[34:08] AI in Startups: Tackling Boring Problems[35:33] AI's Impact on Productivity and Consultants[36:43] Traits of Top AI Researchers[40:52] The Evolution of OpenAI's Mission[46:57] The Challenges of Scaling AI[49:16] The Future of AI and Human Agency[54:47] AI in Social Sciences and Academia[1:01:15] Reflections and Future Plans[1:02:57] Quickfire With your co-hosts:  @jacobeffron  - Partner at Redpoint, Former PM Flatiron Health  @patrickachase  - Partner at Redpoint, Former ML Engineer LinkedIn  @ericabrescia  - Former COO Github, Founder Bitnami (acq'd by VMWare)  @jordan_segall  - Partner at Redpoint

Major policy shifts in immigration, taxes, trade, energy, health care, and pandemic-era programs passed under the Biden Administration look increasingly likely with Donald Trump capturing the White House and his fellow Republicans taking control of both houses of Congress for the first time in two years. Our panel of experts share their views on what this sea change may mean for the economy and Federal Reserve, as well as the impact on states, localities, and the $4 trillion municipal bond market, including the possible elimination of the federal tax exemption on most muni bond interest. Our panel of experts includes Torsten Slok, Partner and Chief Economist, Apollo Global Management; Annie Linskey, Wall Street Journal White House Reporter; Former US Representative Carolyn Bourdeaux (D-GA); Eric Kazatsky, Head of Municipal Strategy, Bloomberg LP; and Teryn Zmuda, Chief Research Officer and Chief Economist, National Association of Counties (NACo). Notable Quotes: “The short version of what's happening is that the economy is doing really well. GDP growth for the last two and a half years has continued to surprise from the upside. The big issue in financial markets and policymaking continues to be why did Fed hikes not slow the economy down more, why was GDP growth in the third quarter 2.8, and why is GDP growth in the fourth quarter, according to the Atlanta Fed, going to be 3.3.” - Torsten Slok “The primary program that they (the White House) are working on which impacts states and localities is getting money out of the door for the CHIPS Act. It was a $39 billion program, about $30 billion of that is tied up right now in complicated negotiations between the government and companies, and so the Biden administration is working very hard right now to get those negotiations finished.” - Annie Linskey “This brings me to the DOGE effort, and you have Elon Musk and Vivek Ramaswamy out there pounding their chests about how they are going to make all these dramatic cuts. Well, most of us who have been around the block on budgeting know that it's really easy to do this in the abstract, but it is very hard to do it when you are actually putting programs on the line.” - Carolyn Bourdeaux “When we're thinking about the effects of any administration and talking about policy changes, cost cuts could really be cost shifts. Sometimes programs are cut but you do have to think how the effect of that is carried out throughout communities.” - Teryn Zmuda “Right now, state and local payrolls are at the highest levels they've been ever. We've had a 3% growth since the great financial crisis, and 2% growth since 2019. So, as efficiencies have come into the job market, technology has been embraced even by state and local governments, and payrolls has continued to expand.” - Eric Kazatsky Be sure to subscribe to Special Briefing to stay up to date on the world of public finance. Learn more about the Volcker Alliance at: volckeralliance.org Learn more about Penn IUR at: penniur.upenn.edu Connect with us @VolckerAlliance and @PennIUR on Twitter, Facebook and LinkedIn Special Briefing is published by the Volcker Alliance, as part of its Public Finance initiatives, and Penn IUR. The views expressed on this podcast are those of the panelists and do not necessarily reflect the position of the Volcker Alliance or Penn IUR.

"Procurement organizations that are able to master knowledge around their workflows and categories, and bring that intelligence on demand into their processes and tech, are going to really be able to get that 5x, 10x, 20x kind of performance advantage. It's a game-changer.”  - Pierre Mitchell, Chief Research Officer and Managing Director, Spend Matters Procurement technology is a fast moving target, and well-known industry analyst Pierre Mitchell is one of a handful of highly experienced people who can provide a nuanced perspective on the evolving landscape of procure tech, both looking back at what's been accomplished while simultaneously predicting the trends that will drive us into 2025 and beyond. In this episode, Philip Ideson speaks with Pierre, who is the Chief Research Officer and Managing Director at Spend Matters, about the critical factors impacting the procure tech market, how to avoid data paralysis, the road ahead for procurement and generative AI, and how procurement leaders can wade through a crowded, fragmented, (and still growing!) procure tech landscape.  They also discuss: The most important procure tech trends to pay attention to in 2025 What procurement leaders should look for in an intake and orchestration platform The likely outcomes, key developments, and challenges for the procure tech market in 2025 Links: Pierre Mitchell on LinkedIn Subscribe to This Week in Procurement Subscribe to Art of Procurement on YouTube  

Traditional financial institutions face mounting pressure from fintech disruptors, big tech companies, and evolving regulatory frameworks. The rise of Banking-as-a-Service (BaaS) platforms, embedded finance solutions, and AI-driven services fundamentally alters how financial products are delivered and consumed. To explore these changes and better understand how banks and credit unions must prepare, we're joined on the Banking Transformed podcast by two leading voices in banking and fintech evolution: Brett King, renowned futurist and bestselling author, and Ron Shevlin, Chief Research Officer at Cornerstone Advisors. Together, we discuss how technological advancements, changing consumer behavior, and market forces are reshaping the future of financial services. The conversation covers the evolution of primary banking relationships, the impact of embedded finance, and how traditional institutions can compete in an increasingly digital marketplace. My guests also offer insights into which organizations are best positioned to succeed in 2025 and beyond.

Although there remains much uncertainty over Donald Trump's economic policies, what are the implications for Asia? We pose this question to Peter Lim, Chief Research Officer, Trident Analytics, and also ask him specifically if there are any Trump trades here in Malaysia.Image Credit: shutterstock.com

In this episode of The Hormone Balance Solution, Tara Thorne sits down with Dr. Jason Hawrelak to discuss the critical role that gut health plays in overall wellness. Together, they explore how dietary choices—especially fiber and polyphenols—are essential for maintaining a balanced gut microbiome, and they highlight the risks of a low-fiber diet, including inflammation and microbial imbalances that can lead to long-term issues. Tara and Dr. Hawrelak also address the impact of antibiotic overuse on gut health, emphasizing why it's crucial to question whether antibiotics are truly necessary, particularly in cases of viral infections. Dr. Hawrelak dispels common myths around cooking with extra virgin olive oil, explaining why it's actually a stable, healthy fat choice. They wrap up the conversation by discussing gut integrity, transit time, and the value of personalized microbiome assessments in supporting health goals. This episode is filled with actionable insights and tips for enhancing digestive health and overall well-being. Don't miss it!  

On today's podcast episode, we discuss when we might be approaching the consequential ceiling of “peak media”, which folks watch the most influencer videos, where smartphone time is still climbing, and entirely too much more. Tune in to the discussion with our Principal Analyst and host Bill Fisher, Principal Analyst Paul Briggs, Vice President of Research Jennifer Pearson, and Chief Research Officer at GWI Jason Mander.   Follow us on Instagram at:  https://www.instagram.com/emarketer/ For sponsorship opportunities contact us: advertising@emarketer.com For more information visit:  https://www.emarketer.com/advertise/ Have questions or just want to say hi? Drop us a line at podcast@emarketer.com  For a transcript of this episode click here:  https://www.emarketer.com/content/podcast-around-world-digital-lifestyles-everyone-world-peak-media-who-watches-influencer-videos   © 2024 EMARKETER TikTok for Business is a global platform designed to give brands and marketers the solutions to be creative storytellers and meaningfully engage with the TikTok community. With solutions that can deliver seamlessly across every marketing touchpoint, TikTok for Business offers brands an opportunity for rich storytelling through a portfolio of full-screen video formats that appear natively within the user experience. Visit tiktok.com/business for more information.

No new episode this week because we're are both speaking at the AI for the Rest of Us conference this week.So instead we've hit up the vaults for the wonderful Paula Cizek, Chief Research Officer at Nobl. She guides leaders and teams through the change management process, from assessing the organization's readiness for change to implementing initiatives. In this episode, we explore the fascinating topic of Corporate Change and how its lessons can be applied to cybersecurity.Normal service resumes next week but for now keep secure!Show NotesAsana's guide to running Project Pre-mortemsHow to “Start with the Skateboard” - SpotifyExplaining Fail save vs Safe to Fail changes - NOBLBarriers to Change - NOBLHow long does it take to make organisational change? NOBLComplexity Science Explained - Complexity ExplainedAn introduction to Network theoryBlending Complexity Science and Network TheoryDisentangling Risk and Uncertainty: When Risk-Taking Measures Are Not About RiskNegotiation Tips - Getting Comfortable being UncomfortablePsychological Safety - McKinseyAbout Paula CizekPaula Cizek is the Chief Research Officer of NOBL, where she guides organizations through large-scale transformation. A thought leader in change management and change resistance, she specializes in translating complex concepts into simple, practical tactics that deliver immediate and meaningful change.Before joining NOBL, she was Innovation Manager at the IPG Media Lab, advising brand and media clients on emerging technology. Prior to that, she was Senior Innovation Consultant at Mandalah, where she led consumer behavior and brand strategy research for brands around the world. She's worked with a diverse roster of clients including Warner Bros., Chanel, Capital One, Bayer Pharmaceuticals, Airbnb, Chipotle, Grupo Bimbo, and more, and she's been published or quoted in publications like BrandingMag and Women's Wear Daily. She graduated from Georgetown University, majoring in Marketing and International Business.LINKS FOR Paula CizekPaula's LinkedInNOBL

Host Matt Fisher is joined by Sanjula Jain, Ph.D., Chief Research Officer and Senior Vice President of Market Strategy at Trilliant Health. They discuss how the health economy defies general logic of economics; factors driving cost and outcomes in healthcare; evaluating performance of value based care; rethinking approach to value based care. To stream our Station live 24/7 visit www.HealthcareNOWRadio.com or ask your Smart Device to “….Play Healthcare NOW Radio”. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

In this episode of 'The Wisdom Of' Show, host Simon Bowen engages in a thought-provoking conversation with Charlene Li, a renowned expert in disruptive transformation, leadership, and the future of work. Charlene shares invaluable insights on embracing disruption, fostering meaningful relationships in the digital age, and unlocking human potential in the workplace.

Spring 2024 Classic Episode - Phil desperately needs a break and hopes that you enjoy the lessons in this repeat episode.I've been thinking a lot lately about how little I know about the metrics that investors use to value companies. This week Craig Mercer joined me again to discuss Return on Equity or ROE. But like all the best metrics, they become more complicated the more you dig into them. The warning for beginners is to not take a metric on face value. Craig Mercer is the Chief Research Officer and Head of ESG at Dalton Investments (Australia). Dalton Investments LLC is a value-focused investment management firm with expertise in Asia, Emerging Markets and global equities.Blog post available at: https://www.sharesforbeginners.com/blog/mercerPortfolio tracker Sharesight tracks your trades, shows your true performance, and saves you time and money at tax time. Sharesight automatically tracks price, performance and dividends from 240,000+ global stocks, crypto, ETFs and funds. Add cash accounts and property to get the full picture of your portfolio – all in one place. Get 4 months free at https://www.sharesight.com/sharesforbeginnersTony Kynaston is a multi-millionaire professional investor thanks to his QAV checklist. Tony's knowledge and calm analysis takes the guesswork out of share market investing. Use the coupon code SFB for a 20% discount on QAV Club plans or SFBLIGHT for a free month of QAV Light. Here's the link to sign up: https://qavpodcast.com.au/register-3/ Disclosure: The links provided are affiliate links. I will be paid a commission if you use this link to make a purchase. You will receive a discount by using these links/coupon codes. I only recommend products and services that I use and trust myself or where I have interviewed and/or met the founders and have assured myself that they're offering something of value.Shares for Beginners is a production of Finpods Pty Ltd. The advice shared on Shares for Beginners is general in nature and does not consider your individual circumstances. Shares for Beginners exists purely for educational and entertainment purposes and should not be relied upon to make an investment or financial decision. If you do choose to buy a financial product, read the PDS, TMD and obtain appropriate financial advice tailored towards your needs. Philip Muscatello and Finpods Pty Ltd are authorised representatives of Money Sherpa PTY LTD ABN - 321649 27708, AFSL - 451289. Hosted on Acast. See acast.com/privacy for more information.

Curious about how a brand rapidly scales to a $60 million powerhouse in the eCommerce health sector? In this episode, I'm joined by Dean Brennan, CEO, and Dillon Randolph, Chief Research Officer, at Heart & Soil, a health and wellness company that offers nutrient-dense supplements. Their unique approach involves fanatical branding and innovative community-building strategies that propel their direct-to-consumer operations beyond traditional models. Listen in as Dean and Dillon dive deep into the specifics of building a robust community that genuinely connects with their brand and leveraging content as a pivotal growth lever. We also discuss their strategic decision to focus on direct sales over platforms like Amazon, the surprising effectiveness of traditional media in their marketing mix, and their personal insights into maintaining balance and health as entrepreneurs. You can find show notes and more information by clicking here: https://bit.ly/3TEjGeA Interested in our Private Community for 7-Figure Store Owners?  Learn more here.   Want to hear about new episodes and eCommerce news round-ups?  Subscribe via email.

We all have fond memories of the first Dev Day in 2023:and the blip that followed soon after. As Ben Thompson has noted, this year's DevDay took a quieter, more intimate tone. No Satya, no livestream, (slightly fewer people?). Instead of putting ChatGPT announcements in DevDay as in 2023, o1 was announced 2 weeks prior, and DevDay 2024 was reserved purely for developer-facing API announcements, primarily the Realtime API, Vision Finetuning, Prompt Caching, and Model Distillation.However the larger venue and more spread out schedule did allow a lot more hallway conversations with attendees as well as more community presentations including our recent guest Alistair Pullen of Cosine as well as deeper dives from OpenAI including our recent guest Michelle Pokrass of the API Team. Thanks to OpenAI's warm collaboration (we particularly want to thank Lindsay McCallum Rémy!), we managed to record exclusive interviews with many of the main presenters of both the keynotes and breakout sessions. We present them in full in today's episode, together with a full lightly edited Q&A with Sam Altman.Show notes and related resourcesSome of these used in the final audio episode below* Simon Willison Live Blog* swyx live tweets and videos* Greg Kamradt coverage of Structured Output session, Scaling LLM Apps session* Fireside Chat Q&A with Sam AltmanTimestamps* [00:00:00] Intro by Suno.ai* [00:01:23] NotebookLM Recap of DevDay* [00:09:25] Ilan's Strawberry Demo with Realtime Voice Function Calling* [00:19:16] Olivier Godement, Head of Product, OpenAI* [00:36:57] Romain Huet, Head of DX, OpenAI* [00:47:08] Michelle Pokrass, API Tech Lead at OpenAI ft. Simon Willison* [01:04:45] Alistair Pullen, CEO, Cosine (Genie)* [01:18:31] Sam Altman + Kevin Weill Q&A* [02:03:07] Notebook LM Recap of PodcastTranscript[00:00:00] Suno AI: Under dev daylights, code ignites. Real time voice streams reach new heights. O1 and GPT, 4. 0 in flight. Fine tune the future, data in sight. Schema sync up, outputs precise. Distill the models, efficiency splice.[00:00:33] AI Charlie: Happy October. This is your AI co host, Charlie. One of our longest standing traditions is covering major AI and ML conferences in podcast format. Delving, yes delving, into the vibes of what it is like to be there stitched in with short samples of conversations with key players, just to help you feel like you were there.[00:00:54] AI Charlie: Covering this year's Dev Day was significantly more challenging because we were all requested not to record the opening keynotes. So, in place of the opening keynotes, we had the viral notebook LM Deep Dive crew, my new AI podcast nemesis, Give you a seven minute recap of everything that was announced.[00:01:15] AI Charlie: Of course, you can also check the show notes for details. I'll then come back with an explainer of all the interviews we have for you today. Watch out and take care.[00:01:23] NotebookLM Recap of DevDay[00:01:23] NotebookLM: All right, so we've got a pretty hefty stack of articles and blog posts here all about open ais. Dev day 2024.[00:01:32] NotebookLM 2: Yeah, lots to dig into there.[00:01:34] NotebookLM 2: Seems[00:01:34] NotebookLM: like you're really interested in what's new with AI.[00:01:36] NotebookLM 2: Definitely. And it seems like OpenAI had a lot to announce. New tools, changes to the company. It's a lot.[00:01:43] NotebookLM: It is. And especially since you're interested in how AI can be used in the real world, you know, practical applications, we'll focus on that.[00:01:51] NotebookLM: Perfect. Like, for example, this Real time API, they announced that, right? That seems like a big deal if we want AI to sound, well, less like a robot.[00:01:59] NotebookLM 2: It could be huge. The real time API could completely change how we, like, interact with AI. Like, imagine if your voice assistant could actually handle it if you interrupted it.[00:02:08] NotebookLM: Or, like, have an actual conversation.[00:02:10] NotebookLM 2: Right, not just these clunky back and forth things we're used to.[00:02:14] NotebookLM: And they actually showed it off, didn't they? I read something about a travel app, one for languages. Even one where the AI ordered takeout.[00:02:21] NotebookLM 2: Those demos were really interesting, and I think they show how this real time API can be used in so many ways.[00:02:28] NotebookLM 2: And the tech behind it is fascinating, by the way. It uses persistent WebSocket connections and this thing called function calling, so it can respond in real time.[00:02:38] NotebookLM: So the function calling thing, that sounds kind of complicated. Can you, like, explain how that works?[00:02:42] NotebookLM 2: So imagine giving the AI Access to this whole toolbox, right?[00:02:46] NotebookLM 2: Information, capabilities, all sorts of things. Okay. So take the travel agent demo, for example. With function calling, the AI can pull up details, let's say about Fort Mason, right, from some database. Like nearby restaurants, stuff like that.[00:02:59] NotebookLM: Ah, I get it. So instead of being limited to what it already knows, It can go and find the information it needs, like a human travel agent would.[00:03:07] NotebookLM 2: Precisely. And someone on Hacker News pointed out a cool detail. The API actually gives you a text version of what's being said. So you can store that, analyze it.[00:03:17] NotebookLM: That's smart. It seems like OpenAI put a lot of thought into making this API easy for developers to use. But, while we're on OpenAI, you know, Besides their tech, there's been some news about, like, internal changes, too.[00:03:30] NotebookLM: Didn't they say they're moving away from being a non profit?[00:03:32] NotebookLM 2: They did. And it's got everyone talking. It's a major shift. And it's only natural for people to wonder how that'll change things for OpenAI in the future. I mean, there are definitely some valid questions about this move to for profit. Like, will they have more money for research now?[00:03:46] NotebookLM 2: Probably. But will they, you know, care as much about making sure AI benefits everyone?[00:03:51] NotebookLM: Yeah, that's the big question, especially with all the, like, the leadership changes happening at OpenAI too, right? I read that their Chief Research Officer left, and their VP of Research, and even their CTO.[00:04:03] NotebookLM 2: It's true. A lot of people are connecting those departures with the changes in OpenAI's structure.[00:04:08] NotebookLM: And I guess it makes you wonder what's going on behind the scenes. But they are still putting out new stuff. Like this whole fine tuning thing really caught my eye.[00:04:17] NotebookLM 2: Right, fine tuning. It's essentially taking a pre trained AI model. And, like, customizing it.[00:04:23] NotebookLM: So instead of a general AI, you get one that's tailored for a specific job.[00:04:27] NotebookLM 2: Exactly. And that opens up so many possibilities, especially for businesses. Imagine you could train an AI on your company's data, you know, like how you communicate your brand guidelines.[00:04:37] NotebookLM: So it's like having an AI that's specifically trained for your company?[00:04:41] NotebookLM 2: That's the idea.[00:04:41] NotebookLM: And they're doing it with images now, too, right?[00:04:44] NotebookLM: Fine tuning with vision is what they called it.[00:04:46] NotebookLM 2: It's pretty incredible what they're doing with that, especially in fields like medicine.[00:04:50] NotebookLM: Like using AI to help doctors make diagnoses.[00:04:52] NotebookLM 2: Exactly. And AI could be trained on thousands of medical images, right? And then it could potentially spot things that even a trained doctor might miss.[00:05:03] NotebookLM: That's kind of scary, to be honest. What if it gets it wrong?[00:05:06] NotebookLM 2: Well, the idea isn't to replace doctors, but to give them another tool, you know, help them make better decisions.[00:05:12] NotebookLM: Okay, that makes sense. But training these AI models must be really expensive.[00:05:17] NotebookLM 2: It can be. All those tokens add up. But OpenAI announced something called automatic prompt caching.[00:05:23] Alex Volkov: Automatic what now? I don't think I came across that.[00:05:26] NotebookLM 2: So basically, if your AI sees a prompt that it's already seen before, OpenAI will give you a discount.[00:05:31] NotebookLM: Huh. Like a frequent buyer program for AI.[00:05:35] NotebookLM 2: Kind of, yeah. It's good that they're trying to make it more affordable. And they're also doing something called model distillation.[00:05:41] NotebookLM: Okay, now you're just using big words to sound smart. What's that?[00:05:45] NotebookLM 2: Think of it like like a recipe, right? You can take a really complex recipe and break it down to the essential parts.[00:05:50] NotebookLM: Make it simpler, but it still tastes the same.[00:05:53] NotebookLM 2: Yeah. And that's what model distillation is. You take a big, powerful AI model and create a smaller, more efficient version.[00:06:00] NotebookLM: So it's like lighter weight, but still just as capable.[00:06:03] NotebookLM 2: Exactly. And that means more people can actually use these powerful tools. They don't need, like, a supercomputer to run them.[00:06:10] NotebookLM: So they're making AI more accessible. That's great.[00:06:13] NotebookLM 2: It is. And speaking of powerful tools, they also talked about their new O1 model.[00:06:18] NotebookLM 2: That's the one they've been hyping up. The one that's supposed to be this big leap forward.[00:06:22] NotebookLM: Yeah, O1. It sounds pretty futuristic. Like, from what I read, it's not just a bigger, better language model.[00:06:28] NotebookLM 2: Right. It's a different porch.[00:06:29] NotebookLM: They're saying it can, like, actually reason, right? Think.[00:06:33] NotebookLM 2: It's trained differently.[00:06:34] NotebookLM 2: They used reinforcement learning with O1.[00:06:36] NotebookLM: So it's not just finding patterns in the data it's seen before.[00:06:40] NotebookLM 2: Not just that. It can actually learn from its mistakes. Get better at solving problems.[00:06:46] NotebookLM: So give me an example. What can O1 do that, say, GPT 4 can't?[00:06:51] NotebookLM 2: Well, OpenAI showed it doing some pretty impressive stuff with math, like advanced math.[00:06:56] NotebookLM 2: And coding, too. Complex coding. Things that even GPT 4 struggled with.[00:07:00] NotebookLM: So you're saying if I needed to, like, write a screenplay, I'd stick with GPT 4? But if I wanted to solve some crazy physics problem, O1 is what I'd use.[00:07:08] NotebookLM 2: Something like that, yeah. Although there is a trade off. O1 takes a lot more power to run, and it takes longer to get those impressive results.[00:07:17] NotebookLM: Hmm, makes sense. More power, more time, higher quality.[00:07:21] NotebookLM 2: Exactly.[00:07:22] NotebookLM: It sounds like it's still in development, though, right? Is there anything else they're planning to add to it?[00:07:26] NotebookLM 2: Oh, yeah. They mentioned system prompts, which will let developers, like, set some ground rules for how it behaves. And they're working on adding structured outputs and function calling.[00:07:38] Alex Volkov: Wait, structured outputs? Didn't we just talk about that? We[00:07:41] NotebookLM 2: did. That's the thing where the AI's output is formatted in a way that's easy to use.[00:07:47] NotebookLM: Right, right. So you don't have to spend all day trying to make sense of what it gives you. It's good that they're thinking about that stuff.[00:07:53] NotebookLM 2: It's about making these tools usable.[00:07:56] NotebookLM 2: And speaking of that, Dev Day finished up with this really interesting talk. Sam Altman, the CEO of OpenAI, And Kevin Weil, their new chief product officer. They talked about, like, the big picture for AI.[00:08:09] NotebookLM: Yeah, they did, didn't they? Anything interesting come up?[00:08:12] NotebookLM 2: Well, Altman talked about moving past this whole AGI term, Artificial General Intelligence.[00:08:18] NotebookLM: I can see why. It's kind of a loaded term, isn't it?[00:08:20] NotebookLM 2: He thinks it's become a bit of a buzzword, and people don't really understand what it means.[00:08:24] NotebookLM: So are they saying they're not trying to build AGI anymore?[00:08:28] NotebookLM 2: It's more like they're saying they're focused on just Making AI better, constantly improving it, not worrying about putting it in a box.[00:08:36] NotebookLM: That makes sense. Keep pushing the limits.[00:08:38] NotebookLM 2: Exactly. But they were also very clear about doing it responsibly. They talked a lot about safety and ethics.[00:08:43] NotebookLM: Yeah, that's important.[00:08:44] NotebookLM 2: They said they were going to be very careful. About how they release new features.[00:08:48] NotebookLM: Good! Because this stuff is powerful.[00:08:51] NotebookLM 2: It is. It was a lot to take in, this whole Dev Day event.[00:08:54] NotebookLM 2: New tools, big changes at OpenAI, and these big questions about the future of AI.[00:08:59] NotebookLM: It was. But hopefully this deep dive helped make sense of some of it. At least, that's what we try to do here.[00:09:05] AI Charlie: Absolutely.[00:09:06] NotebookLM: Thanks for taking the deep dive with us.[00:09:08] AI Charlie: The biggest demo of the new Realtime API involved function calling with voice mode and buying chocolate covered strawberries from our friendly local OpenAI developer experience engineer and strawberry shop owner, Ilan Biggio.[00:09:21] AI Charlie: We'll first play you the audio of his demo and then go into a little interview with him.[00:09:25] Ilan's Strawberry Demo with Realtime Voice Function Calling[00:09:25] Romain Huet: Could you place a call and see if you could get us 400 strawberries delivered to the venue? But please keep that under 1500. I'm on it. We'll get those strawberries delivered for you.[00:09:47] Ilan: Hello? Hi there. Is this Ilan? I'm Romain's AI assistant. How is it going? Fantastic. Can you tell me what flavors of strawberry dips you have for me? Yeah, we have chocolate, vanilla, and we have peanut butter. Wait, how much would 400 chocolate covered strawberries cost? 400? Are you sure you want 400? Yes, 400 chocolate covered[00:10:14] swyx: strawberries.[00:10:15] Ilan: Wait,[00:10:16] swyx: how much[00:10:16] Ilan: would that be? I think that'll be around, like, 1, 415. 92.[00:10:25] Alex Volkov: Awesome. Let's go ahead and place the order for four chocolate covered strawberries.[00:10:31] Ilan: Great, where would you like that delivered? Please deliver them to the Gateway Pavilion at Fort Mason. And I'll be paying in cash.[00:10:42] Alex Volkov: Okay,[00:10:43] Ilan: sweet. So just to confirm, you want four strawberries?[00:10:45] Ilan: 400 chocolate covered strawberries to the Gateway Pavilion. Yes, that's perfect. And when can we expect delivery? Well, you guys are right nearby, so it'll be like, I don't know, 37 seconds? That's incredibly fast. Cool, you too.[00:11:09] swyx: Hi, Ilan, welcome to Lanespace. Oh, thank you. I just saw your amazing demos, had your amazing strawberries. You are dressed up, like, exactly like a strawberry salesman. Gotta have it all. What was the building on demo like? What was the story behind the demo?[00:11:22] swyx: It was really interesting. This is actually something I had been thinking about for months before the launch.[00:11:27] swyx: Like, having a, like, AI that can make phone calls is something like I've personally wanted for a long time. And so as soon as we launched internally, like, I started hacking on it. And then that sort of just started. We made it into like an internal demo, and then people found it really interesting, and then we thought how cool would it be to have this like on stage as, as one of the demos.[00:11:47] swyx: Yeah, would would you call out any technical issues building, like you were basically one of the first people ever to build with a voice mode API. Would you call out any issues like integrating it with Twilio like that, like you did with function calling, with like a form filling elements. I noticed that you had like intents of things to fulfill, and then.[00:12:07] swyx: When there's still missing info, the voice would prompt you, roleplaying the store guy.[00:12:13] swyx: Yeah, yeah, so, I think technically, there's like the whole, just working with audio and streams is a whole different beast. Like, even separate from like AI and this, this like, new capabilities, it's just, it's just tough.[00:12:26] swyx: Yeah, when you have a prompt, conversationally it'll just follow, like the, it was, Instead of like, kind of step by step to like ask the right questions based on like the like what the request was, right? The function calling itself is sort of tangential to that. Like, you have to prompt it to call the functions, but then handling it isn't too much different from, like, what you would do with assistant streaming or, like, chat completion streaming.[00:12:47] swyx: I think, like, the API feels very similar just to, like, if everything in the API was streaming, it actually feels quite familiar to that.[00:12:53] swyx: And then, function calling wise, I mean, does it work the same? I don't know. Like, I saw a lot of logs. You guys showed, like, in the playground, a lot of logs. What is in there?[00:13:03] swyx: What should people know?[00:13:04] swyx: Yeah, I mean, it is, like, the events may have different names than the streaming events that we have in chat completions, but they represent very similar things. It's things like, you know, function call started, argument started, it's like, here's like argument deltas, and then like function call done.[00:13:20] swyx: Conveniently we send one that has the full function, and then I just use that. Nice.[00:13:25] swyx: Yeah and then, like, what restrictions do, should people be aware of? Like, you know, I think, I think, before we recorded, we discussed a little bit about the sensitivities around basically calling random store owners and putting, putting like an AI on them.[00:13:40] swyx: Yeah, so there's, I think there's recent regulation on that, which is why we want to be like very, I guess, aware of, of You know, you can't just call anybody with AI, right? That's like just robocalling. You wouldn't want someone just calling you with AI.[00:13:54] swyx: I'm a developer, I'm about to do this on random people.[00:13:57] swyx: What laws am I about to break?[00:14:00] swyx: I forget what the governing body is, but you should, I think, Having consent of the person you're about to call, it always works. I, as the strawberry owner, have consented to like getting called with AI. I think past that you, you want to be careful. Definitely individuals are more sensitive than businesses.[00:14:19] swyx: I think businesses you have a little bit more leeway. Also, they're like, businesses I think have an incentive to want to receive AI phone calls. Especially if like, they're dealing with it. It's doing business. Right, like, it's more business. It's kind of like getting on a booking platform, right, you're exposed to more.[00:14:33] swyx: But, I think it's still very much like a gray area. Again, so. I think everybody should, you know, tread carefully, like, figure out what it is. I, I, I, the law is so recent, I didn't have enough time to, like, I'm also not a lawyer. Yeah, yeah, yeah, of course. Yeah.[00:14:49] swyx: Okay, cool fair enough. One other thing, this is kind of agentic.[00:14:52] swyx: Did you use a state machine at all? Did you use any framework? No. You just stick it in context and then just run it in a loop until it ends call?[00:15:01] swyx: Yeah, there isn't even a loop, like Okay. Because the API is just based on sessions. It's always just going to keep going. Every time you speak, it'll trigger a call.[00:15:11] swyx: And then after every function call was also invoked invoking like a generation. And so that is another difference here. It's like it's inherently almost like in a loop, be just by being in a session, right? No state machines needed. I'd say this is very similar to like, the notion of routines, where it's just like a list of steps.[00:15:29] swyx: And it, like, sticks to them softly, but usually pretty well. And the steps is the prompts? The steps, it's like the prompt, like the steps are in the prompt. Yeah, yeah, yeah. Right, it's like step one, do this, step one, step two, do that. What if I want to change the system prompt halfway through the conversation?[00:15:44] swyx: You can. Okay. You can. To be honest, I have not played without two too much. Yeah,[00:15:47] swyx: yeah.[00:15:48] swyx: But, I know you can.[00:15:49] swyx: Yeah, yeah. Yeah. Awesome. I noticed that you called it real time API, but not voice API. Mm hmm. So I assume that it's like real time API starting with voice. Right, I think that's what he said on the thing.[00:16:00] swyx: I can't imagine, like, what else is real[00:16:02] swyx: time? Well, I guess, to use ChatGPT's voice mode as an example, Like, we've demoed the video, right? Like, real time image, right? So, I'm not actually sure what timelines are, But I would expect, if I had to guess, That, like, that is probably the next thing that we're gonna be making.[00:16:17] swyx: You'd probably have to talk directly with the team building this. Sure. But, You can't promise their timelines. Yeah, yeah, yeah, right, exactly. But, like, given that this is the features that currently, Or that exists that we've demoed on Chachapiti. Yeah. There[00:16:29] swyx: will never be a[00:16:29] swyx: case where there's like a real time text API, right?[00:16:31] swyx: I don't Well, this is a real time text API. You can do text only on this. Oh. Yeah. I don't know why you would. But it's actually So text to text here doesn't quite make a lot of sense. I don't think you'll get a lot of latency gain. But, like, speech to text is really interesting. Because you can prevent You can prevent responses, like audio responses.[00:16:54] swyx: And force function calls. And so you can do stuff like UI control. That is like super super reliable. We had a lot of like, you know, un, like, we weren't sure how well this was gonna work because it's like, you have a voice answering. It's like a whole persona, right? Like, that's a little bit more, you know, risky.[00:17:10] swyx: But if you, like, cut out the audio outputs and make it so it always has to output a function, like you can end up with pretty pretty good, like, Pretty reliable, like, command like a command architecture. Yeah,[00:17:21] swyx: actually, that's the way I want to interact with a lot of these things as well. Like, one sided voice.[00:17:26] swyx: Yeah, you don't necessarily want to hear the[00:17:27] swyx: voice back. And like, sometimes it's like, yeah, I think having an output voice is great. But I feel like I don't always want to hear an output voice. I'd say usually I don't. But yeah, exactly, being able to speak to it is super sweet.[00:17:39] swyx: Cool. Do you want to comment on any of the other stuff that you announced?[00:17:41] swyx: From caching I noticed was like, I like the no code change part. I'm looking forward to the docs because I'm sure there's a lot of details on like, what you cache, how long you cache. Cause like, enthalpy caches were like 5 minutes. I was like, okay, but what if I don't make a call every 5 minutes?[00:17:56] swyx: Yeah,[00:17:56] swyx: to be super honest with you, I've been so caught up with the real time API and making the demo that I haven't read up on the other stuff. Launches too much. I mean, I'm aware of them, but I think I'm excited to see how all distillation works. That's something that we've been doing like, I don't know, I've been like doing it between our models for a while And I've seen really good results like I've done back in a day like from GPT 4 to GPT 3.[00:18:19] swyx: 5 And got like, like pretty much the same level of like function calling with like hundreds of functions So that was super super compelling So, I feel like easier distillation, I'm really excited for. I see. Is it a tool?[00:18:31] swyx: So, I saw evals. Yeah. Like, what is the distillation product? It wasn't super clear, to be honest.[00:18:36] swyx: I, I think I want to, I want to let that team, I want to let that team talk about it. Okay,[00:18:40] swyx: alright. Well, I appreciate you jumping on. Yeah, of course. Amazing demo. It was beautifully designed. I'm sure that was part of you and Roman, and[00:18:47] swyx: Yeah, I guess, shout out to like, the first people to like, creators of Wanderlust, originally, were like, Simon and Carolis, and then like, I took it and built the voice component and the voice calling components.[00:18:59] swyx: Yeah, so it's been a big team effort. And like the entire PI team for like Debugging everything as it's been going on. It's been, it's been so good working with them. Yeah, you're the first consumers on the DX[00:19:07] swyx: team. Yeah. Yeah, I mean, the classic role of what we do there. Yeah. Okay, yeah, anything else? Any other call to action?[00:19:13] swyx: No, enjoy Dev Day. Thank you. Yeah. That's it.[00:19:16] Olivier Godement, Head of Product, OpenAI[00:19:16] AI Charlie: The latent space crew then talked to Olivier Godmont, head of product for the OpenAI platform, who led the entire Dev Day keynote and introduced all the major new features and updates that we talked about today.[00:19:28] swyx: Okay, so we are here with Olivier Godmont. That's right.[00:19:32] swyx: I don't pronounce French. That's fine. It was perfect. And it was amazing to see your keynote today. What was the back story of, of preparing something like this? Preparing, like, Dev Day? It[00:19:43] Olivier Godement: essentially came from a couple of places. Number one, excellent reception from last year's Dev Day.[00:19:48] Olivier Godement: Developers, startup founders, researchers want to spend more time with OpenAI, and we want to spend more time with them as well. And so for us, like, it was a no brainer, frankly, to do it again, like, you know, like a nice conference. The second thing is going global. We've done a few events like in Paris and like a few other like, you know, non European, non American countries.[00:20:05] Olivier Godement: And so this year we're doing SF, Singapore, and London. To frankly just meet more developers.[00:20:10] swyx: Yeah, I'm very excited for the Singapore one.[00:20:12] Olivier Godement: Ah,[00:20:12] swyx: yeah. Will you be[00:20:13] Olivier Godement: there?[00:20:14] swyx: I don't know. I don't know if I got an invite. No. I can't just talk to you. Yeah, like, and then there was some speculation around October 1st.[00:20:22] Olivier Godement: Yeah. Is it because[00:20:23] swyx: 01, October 1st? It[00:20:25] Olivier Godement: has nothing to do. I discovered the tweet yesterday where like, people are so creative. No one, there was no connection to October 1st. But in hindsight, that would have been a pretty good meme by Tiana. Okay.[00:20:37] swyx: Yeah, and you know, I think like, OpenAI's outreach to developers is something that I felt the whole in 2022, when like, you know, like, people were trying to build a chat GPT, and like, there was no function calling, all that stuff that you talked about in the past.[00:20:51] swyx: And that's why I started my own conference as like like, here's our little developer conference thing. And, but to see this OpenAI Dev Day now, and like to see so many developer oriented products coming to OpenAI, I think it's really encouraging.[00:21:02] Olivier Godement: Yeah, totally. It's that's what I said, essentially, like, developers are basically the people who make the best connection between the technology and, you know, the future, essentially.[00:21:14] Olivier Godement: Like, you know, essentially see a capability, see a low level, like, technology, and are like, hey, I see how that application or that use case that can be enabled. And so, in the direction of enabling, like, AGI, like, all of humanity, it's a no brainer for us, like, frankly, to partner with Devs.[00:21:31] Alessio: And most importantly, you almost never had waitlists, which, compared to like other releases, people usually, usually have.[00:21:38] Alessio: What is the, you know, you had from caching, you had real time voice API, we, you know, Shawn did a long Twitter thread, so people know the releases. Yeah. What is the thing that was like sneakily the hardest to actually get ready for, for that day, or like, what was the kind of like, you know, last 24 hours, anything that you didn't know was gonna work?[00:21:56] Olivier Godement: Yeah. The old Fairly, like, I would say, involved, like, features to ship. So the team has been working for a month, all of them. The one which I would say is the newest for OpenAI is the real time API. For a couple of reasons. I mean, one, you know, it's a new modality. Second, like, it's the first time that we have an actual, like, WebSocket based API.[00:22:16] Olivier Godement: And so, I would say that's the one that required, like, the most work over the month. To get right from a developer perspective and to also make sure that our existing safety mitigation that worked well with like real time audio in and audio out.[00:22:30] swyx: Yeah, what design choices or what was like the sort of design choices that you want to highlight?[00:22:35] swyx: Like, you know, like I think for me, like, WebSockets, you just receive a bunch of events. It's two way. I obviously don't have a ton of experience. I think a lot of developers are going to have to embrace this real time programming. Like, what are you designing for, or like, what advice would you have for developers exploring this?[00:22:51] Olivier Godement: The core design hypothesis was essentially, how do we enable, like, human level latency? We did a bunch of tests, like, on average, like, human beings, like, you know, takes, like, something like 300 milliseconds to converse with each other. And so that was the design principle, essentially. Like, working backward from that, and, you know, making the technology work.[00:23:11] Olivier Godement: And so we evaluated a few options, and WebSockets was the one that we landed on. So that was, like, one design choice. A few other, like, big design choices that we had to make prompt caching. Prompt caching, the design, like, target was automated from the get go. Like, zero code change from the developer.[00:23:27] Olivier Godement: That way you don't have to learn, like, what is a prompt prefix, and, you know, how long does a cache work, like, we just do it as much as we can, essentially. So that was a big design choice as well. And then finally, on distillation, like, and evaluation. The big design choice was something I learned at Skype, like in my previous job, like a philosophy around, like, a pit of success.[00:23:47] Olivier Godement: Like, what is essentially the, the, the minimum number of steps for the majority of developers to do the right thing? Because when you do evals on fat tuning, there are many, many ways, like, to mess it up, frankly, like, you know, and have, like, a crappy model, like, evals that tell, like, a wrong story. And so our whole design was, okay, we actually care about, like, helping people who don't have, like, that much experience, like, evaluating a model, like, get, like, in a few minutes, like, to a good spot.[00:24:11] Olivier Godement: And so how do we essentially enable that bit of success, like, in the product flow?[00:24:15] swyx: Yeah, yeah, I'm a little bit scared to fine tune especially for vision, because I don't know what I don't know for stuff like vision, right? Like, for text, I can evaluate pretty easily. For vision let's say I'm like trying to, one of your examples was grab.[00:24:33] swyx: Which, very close to home, I'm from Singapore. I think your example was like, they identified stop signs better. Why is that hard? Why do I have to fine tune that? If I fine tune that, do I lose other things? You know, like, there's a lot of unknowns with Vision that I think developers have to figure out.[00:24:50] swyx: For[00:24:50] Olivier Godement: sure. Vision is going to open up, like, a new, I would say, evaluation space. Because you're right, like, it's harder, like, you know, to tell correct from incorrect, essentially, with images. What I can say is we've been alpha testing, like, the Vision fine tuning, like, for several weeks at that point. We are seeing, like, even higher performance uplift compared to text fine tuning.[00:25:10] Olivier Godement: So that's, there is something here, like, we've been pretty impressed, like, in a good way, frankly. But, you know, how well it works. But for sure, like, you know, I expect the developers who are moving from one modality to, like, text and images will have, like, more, you know Testing, evaluation, like, you know, to set in place, like, to make sure it works well.[00:25:25] Alessio: The model distillation and evals is definitely, like, the most interesting. Moving away from just being a model provider to being a platform provider. How should people think about being the source of truth? Like, do you want OpenAI to be, like, the system of record of all the prompting? Because people sometimes store it in, like, different data sources.[00:25:41] Alessio: And then, is that going to be the same as the models evolve? So you don't have to worry about, you know, refactoring the data, like, things like that, or like future model structures.[00:25:51] Olivier Godement: The vision is if you want to be a source of truth, you have to earn it, right? Like, we're not going to force people, like, to pass us data.[00:25:57] Olivier Godement: There is no value prop, like, you know, for us to store the data. The vision here is at the moment, like, most developers, like, use like a one size fits all model, like be off the shelf, like GP40 essentially. The vision we have is fast forward a couple of years. I think, like, most developers will essentially, like, have a.[00:26:15] Olivier Godement: An automated, continuous, fine tuned model. The more, like, you use the model, the more data you pass to the model provider, like, the model is automatically, like, fine tuned, evaluated against some eval sets, and essentially, like, you don't have to every month, when there is a new snapshot, like, you know, to go online and, you know, try a few new things.[00:26:34] Olivier Godement: That's a direction. We are pretty far away from it. But I think, like, that evaluation and decision product are essentially a first good step in that direction. It's like, hey, it's you. I set it by that direction, and you give us the evaluation data. We can actually log your completion data and start to do some automation on your behalf.[00:26:52] Alessio: And then you can do evals for free if you share data with OpenAI. How should people think about when it's worth it, when it's not? Sometimes people get overly protective of their data when it's actually not that useful. But how should developers think about when it's right to do it, when not, or[00:27:07] Olivier Godement: if you have any thoughts on it?[00:27:08] Olivier Godement: The default policy is still the same, like, you know, we don't train on, like, any API data unless you opt in. What we've seen from feedback is evaluation can be expensive. Like, if you run, like, O1 evals on, like, thousands of samples Like, your build will get increased, like, you know, pretty pretty significantly.[00:27:22] Olivier Godement: That's problem statement number one. Problem statement number two is, essentially, I want to get to a world where whenever OpenAI ships a new model snapshot, we have full confidence that there is no regression for the task that developers care about. And for that to be the case, essentially, we need to get evals.[00:27:39] Olivier Godement: And so that, essentially, is a sort of a two bugs one stone. It's like, we subsidize, basically, the evals. And we also use the evals when we ship new models to make sure that we keep going in the right direction. So, in my sense, it's a win win, but again, completely opt in. I expect that many developers will not want to share their data, and that's perfectly fine to me.[00:27:56] swyx: Yeah, I think free evals though, very, very good incentive. I mean, it's a fair trade. You get data, we get free evals. Exactly,[00:28:04] Olivier Godement: and we sanitize PII, everything. We have no interest in the actual sensitive data. We just want to have good evaluation on the real use cases.[00:28:13] swyx: Like, I always want to eval the eval. I don't know if that ever came up.[00:28:17] swyx: Like, sometimes the evals themselves are wrong, and there's no way for me to tell you.[00:28:22] Olivier Godement: Everyone who is starting with LLM, teaching with LLM, is like, Yeah, evaluation, easy, you know, I've done testing, like, all my life. And then you start to actually be able to eval, understand, like, all the corner cases, And you realize, wow, there's like a whole field in itself.[00:28:35] Olivier Godement: So, yeah, good evaluation is hard and so, yeah. Yeah, yeah.[00:28:38] swyx: But I think there's a, you know, I just talked to Brain Trust which I think is one of your partners. Mm-Hmm. . They also emphasize code based evals versus your sort of low code. What I see is like, I don't know, maybe there's some more that you didn't demo.[00:28:53] swyx: YC is kind of like a low code experience, right, for evals. Would you ever support like a more code based, like, would I run code on OpenAI's eval platform?[00:29:02] Olivier Godement: For sure. I mean, we meet developers where they are, you know. At the moment, the demand was more for like, you know, easy to get started, like eval. But, you know, if we need to expose like an evaluation API, for instance, for people like, you know, to pass, like, you know, their existing test data we'll do it.[00:29:15] Olivier Godement: So yeah, there is no, you know, philosophical, I would say, like, you know, misalignment on that. Yeah,[00:29:19] swyx: yeah, yeah. What I think this is becoming, by the way, and I don't, like it's basically, like, you're becoming AWS. Like, the AI cloud. And I don't know if, like, that's a conscious strategy, or it's, like, It doesn't even have to be a conscious strategy.[00:29:33] swyx: Like, you're going to offer storage. You're going to offer compute. You're going to offer networking. I don't know what networking looks like. Networking is maybe, like, Caching or like it's a CDN. It's a prompt CDN.[00:29:45] Alex Volkov: Yeah,[00:29:45] swyx: but it's the AI versions of everything, right? Do you like do you see the analogies or?[00:29:52] Olivier Godement: Whatever Whatever I took to developers. I feel like Good models are just half of the story to build a good app There's a third model you need to do Evaluation is the perfect example. Like, you know, you can have the best model in the world If you're in the dark, like, you know, it's really hard to gain the confidence and so Our philosophy is[00:30:11] Olivier Godement: The whole like software development stack is being basically reinvented, you know, with LLMs. There is no freaking way that open AI can build everything. Like there is just too much to build, frankly. And so my philosophy is, essentially, we'll focus on like the tools which are like the closest to the model itself.[00:30:28] Olivier Godement: So that's why you see us like, you know, investing quite a bit in like fine tuning, distillation, our evaluation, because we think that it actually makes sense to have like in one spot, Like, you know, all of that. Like, there is some sort of virtual circle, essentially, that you can set in place. But stuff like, you know, LLMOps, like tools which are, like, further away from the model, I don't know if you want to do, like, you know, super elaborate, like, prompt management, or, you know, like, tooling, like, I'm not sure, like, you know, OpenAI has, like, such a big edge, frankly, like, you know, to build this sort of tools.[00:30:56] Olivier Godement: So that's how we view it at the moment. But again, frankly, the philosophy is super simple. The strategy is super simple. It's meeting developers where they want us to be. And so, you know that's frankly, like, you know, day in, day out, like, you know, what I try to do.[00:31:08] Alessio: Cool. Thank you so much for the time.[00:31:10] Alessio: I'm sure you,[00:31:10] swyx: Yeah, I have more questions on, a couple questions on voice, and then also, like, your call to action, like, what you want feedback on, right? So, I think we should spend a bit more time on voice, because I feel like that's, like, the big splash thing. I talked well Well, I mean, I mean, just what is the future of real time for OpenAI?[00:31:28] swyx: Yeah. Because I think obviously video is next. You already have it in the, the ChatGPT desktop app. Do we just have a permanent, like, you know, like, are developers just going to be, like, sending sockets back and forth with OpenAI? Like how do we program for that? Like, what what is the future?[00:31:44] Olivier Godement: Yeah, that makes sense. I think with multimodality, like, real time is quickly becoming, like, you know, essentially the right experience, like, to build an application. Yeah. So my expectation is that we'll see like a non trivial, like a volume of applications like moving to a real time API. Like if you zoom out, like, audio is really simple, like, audio until basically now.[00:32:05] Olivier Godement: Audio on the web, in apps, was basically very much like a second class citizen. Like, you basically did like an audio chatbot for users who did not have a choice. You know, they were like struggling to read, or I don't know, they were like not super educated with technology. And so, frankly, it was like the crappy option, you know, compared to text.[00:32:25] Olivier Godement: But when you talk to people in the real world, the vast majority of people, like, prefer to talk and listen instead of typing and writing.[00:32:34] swyx: We speak before we write.[00:32:35] Olivier Godement: Exactly. I don't know. I mean, I'm sure it's the case for you in Singapore. For me, my friends in Europe, the number of, like, WhatsApp, like, voice notes they receive every day, I mean, just people, it makes sense, frankly, like, you know.[00:32:45] Olivier Godement: Chinese. Chinese, yeah.[00:32:46] swyx: Yeah,[00:32:47] Olivier Godement: all voice. You know, it's easier. There is more emotions. I mean, you know, you get the point across, like, pretty well. And so my personal ambition for, like, the real time API and, like, audio in general is to make, like, audio and, like, multimodality, like, truly a first class experience.[00:33:01] Olivier Godement: Like, you know, if you're, like, you know, the amazing, like, super bold, like, start up out of YC, you want to build, like, the next, like, billion, like, you know, user application to make it, like, truly your first and make it feel, like, you know, an actual good, like, you know, product experience. So that's essentially the ambition, and I think, like, yeah, it could be pretty big.[00:33:17] swyx: Yeah. I think one, one people, one issue that people have with the voice so far as, as released in advanced voice mode is the refusals.[00:33:24] Alex Volkov: Yeah.[00:33:24] swyx: You guys had a very inspiring model spec. I think Joanne worked on that. Where you said, like, yeah, we don't want to overly refuse all the time. In fact, like, even if, like, not safe for work, like, in some occasions, it's okay.[00:33:38] swyx: How, is there an API that we can say, not safe for work, okay?[00:33:41] Olivier Godement: I think we'll get there. I think we'll get there. The mobile spec, like, nailed it, like, you know. It nailed it! It's so good! Yeah, we are not in the business of, like, policing, you know, if you can say, like, vulgar words or whatever. You know, there are some use cases, like, you know, I'm writing, like, a Hollywood, like, script I want to say, like, will go on, and it's perfectly fine, you know?[00:33:59] Olivier Godement: And so I think the direction where we'll go here is that basically There will always be like, you know, a set of behavior that we will, you know, just like forbid, frankly, because they're illegal against our terms of services. But then there will be like, you know, some more like risky, like themes, which are completely legal, like, you know, vulgar words or, you know, not safe for work stuff.[00:34:17] Olivier Godement: Where basically we'll expose like a controllable, like safety, like knobs in the API to basically allow you to say, hey, that theme okay, that theme not okay. How sensitive do you want the threshold to be on safety refusals? I think that's the Dijkstra. So a[00:34:31] swyx: safety API.[00:34:32] Olivier Godement: Yeah, in a way, yeah.[00:34:33] swyx: Yeah, we've never had that.[00:34:34] Olivier Godement: Yeah. '[00:34:35] swyx: cause right now is you, it is whatever you decide. And then it's, that's it. That, that, that would be the main reason I don't use opening a voice is because of[00:34:42] Olivier Godement: it's over police. Over refuse over refusals. Yeah. Yeah, yeah. No, we gotta fix that. Yeah. Like singing,[00:34:47] Alessio: we're trying to do voice. I'm a singer.[00:34:49] swyx: And you, you locked off singing.[00:34:51] swyx: Yeah,[00:34:51] Alessio: yeah, yeah.[00:34:52] swyx: But I, I understand music gets you in trouble. Okay. Yeah. So then, and then just generally, like, what do you want to hear from developers? Right? We have, we have all developers watching you know, what feedback do you want? Any, anything specific as well, like from, especially from today anything that you are unsure about, that you are like, Our feedback could really help you decide.[00:35:09] swyx: For sure.[00:35:10] Olivier Godement: I think, essentially, it's becoming pretty clear after today that, you know, I would say the open end direction has become pretty clear, like, you know, after today. Investment in reasoning, investment in multimodality, Investment as well, like in, I would say, tool use, like function calling. To me, the biggest question I have is, you know, Where should we put the cursor next?[00:35:30] Olivier Godement: I think we need all three of them, frankly, like, you know, so we'll keep pushing.[00:35:33] swyx: Hire 10, 000 people, or actually, no need, build a bunch of bots.[00:35:37] Olivier Godement: Exactly, and so let's take O1 smart enough, like, for your problems? Like, you know, let's set aside for a second the existing models, like, for the apps that you would love to build, is O1 basically it in reasoning, or do we still have, like, you know, a step to do?[00:35:50] Olivier Godement: Preview is not enough, I[00:35:52] swyx: need the full one.[00:35:53] Olivier Godement: Yeah, so that's exactly that sort of feedback. Essentially what they would love to do is for developers I mean, there's a thing that Sam has been saying like over and over again, like, you know, it's easier said than done, but I think it's directionally correct. As a developer, as a founder, you basically want to build an app which is a bit too difficult for the model today, right?[00:36:12] Olivier Godement: Like, what you think is right, it's like, sort of working, sometimes not working. And that way, you know, that basically gives us like a goalpost, and be like, okay, that's what you need to enable with the next model release, like in a few months. And so I would say that Usually, like, that's the sort of feedback which is like the most useful that I can, like, directly, like, you know, incorporate.[00:36:33] swyx: Awesome. I think that's our time. Thank you so much, guys. Yeah, thank you so much.[00:36:38] AI Charlie: Thank you. We were particularly impressed that Olivier addressed the not safe for work moderation policy question head on, as that had only previously been picked up on in Reddit forums. This is an encouraging sign that we will return to in the closing candor with Sam Altman at the end of this episode.[00:36:57] Romain Huet, Head of DX, OpenAI[00:36:57] AI Charlie: Next, a chat with Roman Hewitt, friend of the pod, AI Engineer World's fair closing keynote speaker, and head of developer experience at OpenAI on his incredible live demos And advice to AI engineers on all the new modalities.[00:37:12] Alessio: Alright, we're live from OpenAI Dev Day. We're with Juan, who just did two great demos on, on stage.[00:37:17] Alessio: And he's been a friend of Latentspace, so thanks for taking some of the time.[00:37:20] Romain Huet: Of course, yeah, thank you for being here and spending the time with us today.[00:37:23] swyx: Yeah, I appreciate appreciate you guys putting this on. I, I know it's like extra work, but it really shows the developers that you're, Care and about reaching out.[00:37:31] Romain Huet: Yeah, of course, I think when you go back to the OpenAI mission, I think for us it's super important that we have the developers involved in everything we do. Making sure that you know, they have all of the tools they need to build successful apps. And we really believe that the developers are always going to invent the ideas, the prototypes, the fun factors of AI that we can't build ourselves.[00:37:49] Romain Huet: So it's really cool to have everyone here.[00:37:51] swyx: We had Michelle from you guys on. Yes, great episode. She very seriously said API is the path to AGI. Correct. And people in our YouTube comments were like, API is not AGI. I'm like, no, she's very serious. API is the path to AGI. Like, you're not going to build everything like the developers are, right?[00:38:08] swyx: Of[00:38:08] Romain Huet: course, yeah, that's the whole value of having a platform and an ecosystem of amazing builders who can, like, in turn, create all of these apps. I'm sure we talked about this before, but there's now more than 3 million developers building on OpenAI, so it's pretty exciting to see all of that energy into creating new things.[00:38:26] Alessio: I was going to say, you built two apps on stage today, an international space station tracker and then a drone. The hardest thing must have been opening Xcode and setting that up. Now, like, the models are so good that they can do everything else. Yes. You had two modes of interaction. You had kind of like a GPT app to get the plan with one, and then you had a cursor to do apply some of the changes.[00:38:47] Alessio: Correct. How should people think about the best way to consume the coding models, especially both for You know, brand new projects and then existing projects that you're trying to modify.[00:38:56] Romain Huet: Yeah. I mean, one of the things that's really cool about O1 Preview and O1 Mini being available in the API is that you can use it in your favorite tools like cursor like I did, right?[00:39:06] Romain Huet: And that's also what like Devin from Cognition can use in their own software engineering agents. In the case of Xcode, like, it's not quite deeply integrated in Xcode, so that's why I had like chat GPT side by side. But it's cool, right, because I could instruct O1 Preview to be, like, my coding partner and brainstorming partner for this app, but also consolidate all of the, the files and architect the app the way I wanted.[00:39:28] Romain Huet: So, all I had to do was just, like, port the code over to Xcode and zero shot the app build. I don't think I conveyed, by the way, how big a deal that is, but, like, you can now create an iPhone app from scratch, describing a lot of intricate details that you want, and your vision comes to life in, like, a minute.[00:39:47] Romain Huet: It's pretty outstanding.[00:39:48] swyx: I have to admit, I was a bit skeptical because if I open up SQL, I don't know anything about iOS programming. You know which file to paste it in. You probably set it up a little bit. So I'm like, I have to go home and test it. And I need the ChatGPT desktop app so that it can tell me where to click.[00:40:04] Romain Huet: Yeah, I mean like, Xcode and iOS development has become easier over the years since they introduced Swift and SwiftUI. I think back in the days of Objective C, or like, you know, the storyboard, it was a bit harder to get in for someone new. But now with Swift and SwiftUI, their dev tools are really exceptional.[00:40:23] Romain Huet: But now when you combine that with O1, as your brainstorming and coding partner, it's like your architect, effectively. That's the best way, I think, to describe O1. People ask me, like, can GPT 4 do some of that? And it certainly can. But I think it will just start spitting out code, right? And I think what's great about O1, is that it can, like, make up a plan.[00:40:42] Romain Huet: In this case, for instance, the iOS app had to fetch data from an API, it had to look at the docs, it had to look at, like, how do I parse this JSON, where do I store this thing, and kind of wire things up together. So that's where it really shines. Is mini or preview the better model that people should be using?[00:40:58] Romain Huet: Like, how? I think people should try both. We're obviously very excited about the upcoming O1 that we shared the evals for. But we noticed that O1 Mini is very, very good at everything math, coding, everything STEM. If you need for your kind of brainstorming or your kind of science part, you need some broader knowledge than reaching for O1 previews better.[00:41:20] Romain Huet: But yeah, I used O1 Mini for my second demo. And it worked perfectly. All I needed was very much like something rooted in code, architecting and wiring up like a front end, a backend, some UDP packets, some web sockets, something very specific. And it did that perfectly.[00:41:35] swyx: And then maybe just talking about voice and Wanderlust, the app that keeps on giving, what's the backstory behind like preparing for all of that?[00:41:44] Romain Huet: You know, it's funny because when last year for Dev Day, we were trying to think about what could be a great demo app to show like an assistive experience. I've always thought travel is a kind of a great use case because you have, like, pictures, you have locations, you have the need for translations, potentially.[00:42:01] Romain Huet: There's like so many use cases that are bounded to travel that I thought last year, let's use a travel app. And that's how Wanderlust came to be. But of course, a year ago, all we had was a text based assistant. And now we thought, well, if there's a voice modality, what if we just bring this app back as a wink.[00:42:19] Romain Huet: And what if we were interacting better with voice? And so with this new demo, what I showed was the ability to like, So, we wanted to have a complete conversation in real time with the app, but also the thing we wanted to highlight was the ability to call tools and functions, right? So, like in this case, we placed a phone call using the Twilio API, interfacing with our AI agents, but developers are so smart that they'll come up with so many great ideas that we could not think of ourselves, right?[00:42:48] Romain Huet: But what if you could have like a, you know, a 911 dispatcher? What if you could have like a customer service? Like center, that is much smarter than what we've been used to today. There's gonna be so many use cases for real time, it's awesome.[00:43:00] swyx: Yeah, and sometimes actually you, you, like this should kill phone trees.[00:43:04] swyx: Like there should not be like dial one[00:43:07] Romain Huet: of course para[00:43:08] swyx: espanol, you know? Yeah, exactly. Or whatever. I dunno.[00:43:12] Romain Huet: I mean, even you starting speaking Spanish would just do the thing, you know you don't even have to ask. So yeah, I'm excited for this future where we don't have to interact with those legacy systems.[00:43:22] swyx: Yeah. Yeah. Is there anything, so you are doing function calling in a streaming environment. So basically it's, it's web sockets. It's UDP, I think. It's basically not guaranteed to be exactly once delivery. Like, is there any coding challenges that you encountered when building this?[00:43:39] Romain Huet: Yeah, it's a bit more delicate to get into it.[00:43:41] Romain Huet: We also think that for now, what we, what we shipped is a, is a beta of this API. I think there's much more to build onto it. It does have the function calling and the tools. But we think that for instance, if you want to have something very robust, On your client side, maybe you want to have web RTC as a client, right?[00:43:58] Romain Huet: And, and as opposed to like directly working with the sockets at scale. So that's why we have partners like Life Kit and Agora if you want to, if you want to use them. And I'm sure we'll have many mores in the, in many more in the future. But yeah, we keep on iterating on that, and I'm sure the feedback of developers in the weeks to come is going to be super critical for us to get it right.[00:44:16] swyx: Yeah, I think LiveKit has been fairly public that they are used in, in the Chachapiti app. Like, is it, it's just all open source, and we just use it directly with OpenAI, or do we use LiveKit Cloud or something?[00:44:28] Romain Huet: So right now we, we released the API, we released some sample code also, and referenced clients for people to get started with our API.[00:44:35] Romain Huet: And we also partnered with LifeKit and Agora, so they also have their own, like ways to help you get started that plugs natively with the real time API. So depending on the use case, people can, can can decide what to use. If you're working on something that's completely client or if you're working on something on the server side, for the voice interaction, you may have different needs, so we want to support all of those.[00:44:55] Alessio: I know you gotta run. Is there anything that you want the AI engineering community to give feedback on specifically, like even down to like, you know, a specific API end point or like, what, what's like the thing that you want? Yeah. I[00:45:08] Romain Huet: mean, you know, if we take a step back, I think dev Day this year is all different from last year and, and in, in a few different ways.[00:45:15] Romain Huet: But one way is that we wanted to keep it intimate, even more intimate than last year. We wanted to make sure that the community is. Thank you very much for joining us on the Spotlight. That's why we have community talks and everything. And the takeaway here is like learning from the very best developers and AI engineers.[00:45:31] Romain Huet: And so, you know we want to learn from them. Most of what we shipped this morning, including things like prompt caching the ability to generate prompts quickly in the playground, or even things like vision fine tuning. These are all things that developers have been asking of us. And so, the takeaway I would, I would leave them with is to say like, Hey, the roadmap that we're working on is heavily influenced by them and their work.[00:45:53] Romain Huet: And so we love feedback From high feature requests, as you say, down to, like, very intricate details of an API endpoint, we love feedback, so yes that's, that's how we, that's how we build this API.[00:46:05] swyx: Yeah, I think the, the model distillation thing as well, it might be, like, the, the most boring, but, like, actually used a lot.[00:46:12] Romain Huet: True, yeah. And I think maybe the most unexpected, right, because I think if I, if I read Twitter correctly the past few days, a lot of people were expecting us. To shape the real time API for speech to speech. I don't think developers were expecting us to have more tools for distillation, and we really think that's gonna be a big deal, right?[00:46:30] Romain Huet: If you're building apps that have you know, you, you want high, like like low latency, low cost, but high performance, high quality on the use case distillation is gonna be amazing.[00:46:40] swyx: Yeah. I sat in the distillation session just now and they showed how they distilled from four oh to four mini and it was like only like a 2% hit in the performance and 50 next.[00:46:49] swyx: Yeah,[00:46:50] Romain Huet: I was there as well for the superhuman kind of use case inspired for an Ebola client. Yeah, this was really good. Cool man! so much for having me. Thanks again for being here today. It's always[00:47:00] AI Charlie: great to have you. As you might have picked up at the end of that chat, there were many sessions throughout the day focused on specific new capabilities.[00:47:08] Michelle Pokrass, Head of API at OpenAI ft. Simon Willison[00:47:08] AI Charlie: Like the new model distillation features combining EVOLs and fine tuning. For our next session, we are delighted to bring back two former guests of the pod, which is something listeners have been greatly enjoying in our second year of doing the Latent Space podcast. Michelle Pokras of the API team joined us recently to talk about structured outputs, and today gave an updated long form session at Dev Day, describing the implementation details of the new structured output mode.[00:47:39] AI Charlie: We also got her updated thoughts on the VoiceMode API we discussed in her episode, now that it is finally announced. She is joined by friend of the pod and super blogger, Simon Willison, who also came back as guest co host in our Dev Day. 2023 episode.[00:47:56] Alessio: Great, we're back live at Dev Day returning guest Michelle and then returning guest co host Fork.[00:48:03] Alessio: Fork, yeah, I don't know. I've lost count. I think it's been a few. Simon Willison is back. Yeah, we just wrapped, we just wrapped everything up. Congrats on, on getting everything everything live. Simon did a great, like, blog, so if you haven't caught up, I[00:48:17] Simon Willison: wrote my, I implemented it. Now, I'm starting my live blog while waiting for the first talk to start, using like GPT 4, I wrote me the Javascript, and I got that live just in time and then, yeah, I was live blogging the whole day.[00:48:28] swyx: Are you a cursor enjoyer?[00:48:29] Simon Willison: I haven't really gotten into cursor yet to be honest. I just haven't spent enough time for it to click, I think. I'm more a copy and paste things out of Cloud and chat GPT. Yeah. It's interesting.[00:48:39] swyx: Yeah. I've converted to cursor and 01 is so easy to just toggle on and off.[00:48:45] Alessio: What's your workflow?[00:48:46] Alessio: VS[00:48:48] Michelle Pokrass: Code co pilot, so Yep, same here. Team co pilot. Co pilot is actually the reason I joined OpenAI. It was, you know, before ChatGPT, this is the thing that really got me. So I'm still into it, but I keep meaning to try out Cursor, and I think now that things have calmed down, I'm gonna give it a real go.[00:49:03] swyx: Yeah, it's a big thing to change your tool of choice.[00:49:06] swyx: Yes,[00:49:06] Michelle Pokrass: yeah, I'm pretty dialed, so.[00:49:09] swyx: I mean, you know, if you want, you can just fork VS Code and make your own. That's the thing to dumb thing, right? We joked about doing a hackathon where the only thing you do is fork VS Code and bet me the best fork win.[00:49:20] Michelle Pokrass: Nice.[00:49:22] swyx: That's actually a really good idea. Yeah, what's up?[00:49:26] swyx: I mean, congrats on launching everything today. I know, like, we touched on it a little bit, but, like, everyone was kind of guessing that Voice API was coming, and, like, we talked about it in our episode. How do you feel going into the launch? Like, any design decisions that you want to highlight?[00:49:41] Michelle Pokrass: Yeah, super jazzed about it. The team has been working on it for a while. It's, like, a very different API for us. It's the first WebSocket API, so a lot of different design decisions to be made. It's, like, what kind of events do you send? When do you send an event? What are the event names? What do you send, like, on connection versus on future messages?[00:49:57] Michelle Pokrass: So there have been a lot of interesting decisions there. The team has also hacked together really cool projects as we've been testing it. One that I really liked is we had an internal hack a thon for the API team. And some folks built like a little hack that you could use to, like VIM with voice mode, so like, control vim, and you would tell them on like, nice, write a file and it would, you know, know all the vim commands and, and pipe those in.[00:50:18] Michelle Pokrass: So yeah, a lot of cool stuff we've been hacking on and really excited to see what people build with it.[00:50:23] Simon Willison: I've gotta call out a demo from today. I think it was Katja had a 3D visualization of the solar system, like WebGL solar system, you could talk to. That is one of the coolest conference demos I've ever seen.[00:50:33] Simon Willison: That was so convincing. I really want the code. I really want the code for that to get put out there. I'll talk[00:50:39] Michelle Pokrass: to the team. I think we can[00:50:40] Simon Willison: probably

Join Lee Rennick at the CIO100 and Meredith Whalen, Chief Research Officer, IDC where they delve into IDC research and the future of GenAI, Data, and building business value. This is not to be missed.

The U.S. election is weeks away and a lot of people are kind of a mess right now. It can feel like the whole world is on the line and you have no real power over what happens. This can result in election stress disorder, the overwhelm of panic and anxiety that can interfere with your life functions and peace of mind. We're joined by Theresa Nguyen, Chief Research Officer for Mental Health America and a person who lives with anxiety and depression. It's a lively and personal talk about election stress, including how it works and what you can do to manage it better.Thank you to all our listeners who support the show as monthly members of Maximum Fun.Check out our I'm Glad You're Here and Depresh Mode merchandise at the brand new merch website MaxFunStore.com!Hey, remember, you're part of Depresh Mode and we want to hear what you want to hear about. What guests and issues would you like to have covered in a future episode? Write us at depreshmode@maximumfun.org.Help is available right away.The National Suicide Prevention Lifeline: 988 or 1-800-273-8255, 1-800-273-TALKCrisis Text Line: Text HOME to 741741.International suicide hotline numbers available here: https://www.opencounseling.com/suicide-hotlines 

The ”Heartland” of the United States is a geographical expanse that is breathtaking in its size and scope.  Covering 20 states, from North Dakota to Texas, it is among the most diverse places on the globe. Yet for the past decades it has underperformed the ”Services” economies of America's coastal states and cities.  But that is changing dramatically thanks to the efforts of groups like Heartland Forward.  With entrepreneurial programs and toolkits, this ”Think and DO” tank as they call themselves has been unlocking the intelligence, culture, and capital in places as diverse as Tulsa, Oklahoma, and Oxford, Mississippi, and attempting to drive investment to the heartland of USA. How's it going? As the American economy continues to generate prosperity and opportunities, Heartland Forward's Senior Economist and Chief Research Officer talk to Lou about place-based economic development, the workforce of these 20 states and the linkages between their work and ICF's. This one changes the narrative about the ” flyover country” within the United States and gives examples of how every community can seize its destiny (Sound familiar?) https://www.intelligentcommunity.org/seizing_our_destiny You will enjoy their insights into this continuous rebirth of the American spirit. Julie Trivitt joined Heartland Forward from the University of Arkansas where she was a faculty member in both the Economics and Education Reform departments for eight years and has lived in the heartland her entire life. She leads the research initiatives on labor markets and talent pipelines as they are now and how we need them to adapt so the people of the heartland have opportunities to realize their full potential and employers have the best qualified talent. She has a PhD and MS in Economics from the University of Arkansas. Her bachelor's degree is also in Economics and was earned at Missouri State University. She aspires to be an herb gardener, a cruise director, and a librarian. David Shideler serves as the chief research officer for Heartland Forward's research team which includes visiting senior fellows Richard Florida and Maryann Feldman. With a mission to help improve the economic performance in the heartland and change the narrative of the middle of the country, the original research efforts focus on four key pillars: innovation and entrepreneurship, human capital, health and wellness and regional competitiveness. Shideler joined Heartland Forward after more than a decade at Oklahoma State University, serving as a professor and Community and Economic Development Specialist in the Department of Agricultural Economics. In these roles, he oversaw projects in community and rural development and small business development, and published peer-reviewed research articles on the economic impacts of internet access, incentive programs, and local food production. Shideler holds a Ph.D. in Agricultural, Environmental and Development Economics and an M.A. in Economics from the Ohio State University, an M.S. in Agricultural Economics from the Pennsylvania State University, and a B.S. in Community and Rural Development from Clemson University.

That Think You Do: 60 Ways To Be Healthy, Happy & Hold Off Harm Have you ever wondered about how to think like an expert, the difference between your inner critic and the actor within, your ability to be heard, the value of being a musician, how to protect yourself from liars, false lovers, nightmares, or how to overcome fears? Our guest tonight, Joseph Carrabis, has the answers. About the Show:  There is synthesis between the known and unknown, the seen and unseen, the mental and the physical, the desires of the heart and the aspirations of the spirit; and the overall theme of we are all just trying to make it from one day to the next with joy, peace, and happiness. Author Joseph Carrabis shares his insights of what he believes are the backbone of our life experiences - both the great and the not so great. You will find yourself wanting to explore more of each of his analysis of life's nuggets, many of which we create ourselves through questions, dreams, desires for specific outcomes and the need to be heard. BIO: Joseph Carrabis is the author of over a dozen novels and hundreds of short stories, including the Nebula-recommended Cymodoce and the Pushcart nominated The Weight. Raised by his maternal grandfather John, Joseph developed a thirst for knowledge that would motivate him to seek immersion within indigenous societies all over the world. These experiences compelled Joseph to help others and inspired his writing. In addition to writing fiction, Joseph is the author of an internationally best-selling non-fiction. Prior to becoming a full-time author, Joseph sat on several advisory boards including the Center for Multicultural Science and the Journal of Cultural Marketing Strategy. He was a Senior Research Fellow at the Society for New Communications Research, an Annenberg Fellow at the University of Southern California, and served with the UN/NYAS Scientists Without Borders program. Joseph Carrabis was Founder and Chief Research Officer of The NextStage Companies and helped clients understand how people think and react to marketing, leveraging that information to improve marketing efforts. Joseph has authored over 25 books, including Reading Virtual Minds Volume I: Science and History, Reading Virtual Minds Volume II: Experience and Expectation, Reading Virtual Minds Volume III: Fair-Exchange and Social Networks, and Tales 'Told Round Celestial Campfires. He held patents for NextStage's Evolution Technology, creating a new, disruptive field of technology and applications. Evolution Technology allows any programmable device to understand human thought and respond accordingly. Joseph was born in Melrose, MA, and currently lives in Nashua, New Hampshire with his wife, Susan, and their four-legged child, Boo. Learn more about him at https://josephcarrabis.com  and at http://nlb.pub/amazon  Video Version: https://youtu.be/nrlLWHUR7yA?si=0trspnI8dafBQxrK Call in and Chat with Kat during Live Show with Video Stream: Call 646-558-8656 ID: 8836953587 press #.  To Ask a Question press *9 to raise your hand or write a question on YouTube during Show Have a Question for the Show? Go to Facebook– Dreams that Can Save Your Life Facebook Professional–Kathleen O'Keefe-Kanavos http://kathleenokeefekanavos.com/

Driven by hope and a strong sense of curiosity,  Dr. Kandi Wiens built a successful career as a management consultant.  Unaware of her own personal burnout, Kandi got a jarring wake up call with a health scare that changed the trajectory of her life and career.  Kandi is director of the University of Pennsylvania's Master in Medical Education Program and the Penn Health Professions Education Certificate Program. A sought after international speaker, she is co-founder and Chief Research Officer of Big Sky Leadership Labs, where she leads and conducts evidence based research on executive performance, emotional intelligence, and burnout and resilience. Her work has been prominently featured in Harvard Business Review and several Harvard Business Review press books.  A senior fellow at Penn, Kandi teaches various graduate level and executive format courses. She's designed and delivered over 2000 leadership development programs focused on helping leaders build and leverage their emotional and social intelligence to amplify their positive impact and protect themselves from burnout. Kandi holds a doctorate from University of Pennsylvania chief officer executive doctoral program, an MBA from University of Oregon, and a BS in business administration from Montana State University. Her new book is  Burnout Immunity: How Emotional Intelligence Can Help You Build Your Resilience and Heal Your Relationship With Work.    What You Will Hear in This Episode:  2:02 Kandi's personal journey 10:10 Burnout research and discovery 15:20  Susceptibility to burnout.  Identifying red flags, causes and recovery 20:42 Good stress, distress vs bad stress, eustress and thinking traps 24:50 Gender differences in responses to stress and emotional intelligence 31:18 Seeking outside help   Quotes “I needed to really re-evaluate how much stress I was under and what that stress was doing to me.” “I might be better off pursuing a career where I'm really happy and really making a contribution where I want to, where It's not about chasing someone else's goals but I'm finally chasing  the goals I've always wanted to.” “Emotional intelligence (EI) is a resource…..it can help us regulate our nervous system.” “Burnout is caused by our response to stress at work.” “Women in general carry a higher mental load, even if they're not doing more physical family activities; even if they have support and help with family and non-work activities.”   Mentioned: Burnout Immunity: How Emotional Intelligence Can Help You Build Your Resilience and Heal Your Relationship With Work Burnout Risk Assessment A-R-M-O-R Kandiwiens.com eConnect with Bonnie Gendered Ageism Survey Results Forbes article 5 Tips to own the superpower of your age IAMMusicGroup Purchase my book Not Done Yet on Amazon:  If you enjoyed this episode of Badass Women Podcast, then make sure to subscribe to the podcast and drop us a five-star review.  

New Zero100 research reveals that the APAC region is the sleeping giant of supply chain digitization. Now, it's time for the West to wake up. In this episode, the team explores the growing divide between East and West when it comes to digital skills, tools, and processes, and provides guidance for leaders looking to level up their own global teams. Featuring: Zero100 VP, Research Geraint John, and Co-Founder and Chief Research Officer, Kevin O'Marah.The markers of APAC's digital supply chain dominance (1:59)Four reasons the East is leapfrogging the West on digital (4:06)How India became the rising star of the APAC region (7:52)Digital success stories from LG, Toyota, Flipkart, and Huawei (9:30)The secrets behind Temu's low prices (15:27)Strategies for connecting global teams that span the East and West (17:14)Lessons from APAC supply chains to tap into now (20:24)

Dive into the transformative world of AI and advanced data analytics in supply chain management with this enlightening episode of Supply Chain Now.In the final episode of the podcast series, "Making Better Supply Chain Bets with the Power of Probabilities" with Noodle.ai, hosts Scott W. Luton and Mary Kate Love engage in a compelling discussion with industry experts Michael Ciatto, Chief Operating Officer at Noodle.ai, and Kevin O'Marah, Chief Research Officer and Co-Founder at Zero100. Throughout their discussion they unpack the critical importance of good data, the power of AI in reshaping supply chain processes, and the nuances of effective change management. From leveraging AI to enhance email communication and operational efficiency to overcoming the challenges of tribal processes in businesses, our guests share invaluable insights and practical strategies.Additional Links & Resources:Learn more about Noodle.ai: noodle.aiLearn more about Supply Chain Now: https://supplychainnow.comSubscribe to Supply Chain Now: https://supplychainnow.com/joinCheck out Supply Chain Now's NEW Media Kit: https://bit.ly/3XH6OVkWEBINAR- Automation ROI: Solving the Top 3 Operational Challenges: https://bit.ly/3VvxTvsWEBINAR- Strategies for Aligning Business Planning with Supply Chain Design: https://bit.ly/3XvRHk7WEBINAR- Taming Logistics Complexity: How Logistics Leaders Can Optimize Operations with Emerging Technology; https://bit.ly/3XBbf6yWEBINAR- Protecting Value in the Supply Chain with Rebates: https://bit.ly/3WsJSKZThis episode is hosted by Scott Luton and Mary Kate Love. For additional information, please visit our dedicated show page at: https://supplychainnow.com/betting-power-ai-reshaping-supply-chain-processes-1302

It's another bad day for the Conservatives. Rishi Sunak has withdrawn support for the Tory candidates involved in the general election betting scandal. What has led to the timing of this decision? Also on the podcast, James Kanagasooriam, Chief Research Officer of Focaldata, explains their latest poll that suggests a 250-seat Labour majority. He joins Katy Balls and James Heale. 

Chief Research Officer at Bitcoin miner Griid, Mike Hamilton is an experienced & well-known Bitcoin miner. But even more impressive might be his feat of snagging the second Runes ticker once the moment the protocol launched last April. Mike talks about how his experience with Bitcoin and tinkerer mentality let him beat all the other teams competing for the top Runes spots. Mike also discusses Bitcoin mining, the role miners may play going forwards, and his personal project “Mutable Trees.”Follow along on your favorite podcast player of choice by clicking here.Chapters:00:00:00 Start00:02:55 Mike intro00:08:12 What is etching & hard coding?00:09:59 Acquiring the Runes ticker00:15:01 Building Runes tools00:19:24 Airdropping00:23:54 Miners learning Runes00:26:38 Managing UTXOs00:32:17 Including Runes in business model00:34:26 Block templates00:38:43 Miners vs Maxi00:40:16 Fix the filters?00:42:35 Mutable Trees00:48:34 OP_CAT00:52:07 Miners & soft forksPublished twice weekly, "The Mining Pod" interviews the best builders and operators in the Bitcoin and Bitcoin mining landscape. Subscribe to get notifications when we publish interviews on Tuesday and a news show on Friday!