Simon Sinek is an optimist and author, as we discuss in the show today. Simon is best known for his TED Talk on the concept of WHY (62M views), and his video on millennials in the workplace (80M views in 7 days). Simon is also a bestselling author including global bestseller Start with WHY, Leaders Eat Last and The Infinite Game. In addition, Simon is the founder of The Optimism Company, a leadership learning and development company, and he publishes other inspiring thinkers and doers through his publishing partnership with Penguin Random House called Optimism Press.

In Today's Discussion with Simon Sinek We Discuss:

1. The Makings of Simon Sinek:

• In what ways does Simon believe that his parents and upbringing shaped who he is today?
• What does Simon want to be when he grows up?
• What was the catalytic moment to the "Simon Sinek brand"? When was that big break moment?

2. Identity:

• Simon has said before, "I define myself by who I am and not what I do". Is it wrong to define yourself by what you do?
• What do you do if you do not know who you are? What do you do if you do not like the answers to who you are?
• Is it possible to change who you are? What does that process look like?
• What is Simon's biggest advice to those looking to find a greater sense of self and identity?

3. Trust:

• Does Simon start relationships with inherent trust and it is there to be lost or no trust and it is there to be gained over time?
• When has someone broken Simon's trust? How did it impact how he approaches trust today?
• In the case of cheating in a relationship, does Simon believe it is possible to regain trust over time?
• Simon has said before, "trust is built on telling the truth". Does it ever make sense or is even right to tell a little white lie in a relationship?

4. Creating Safe Spaces:

• How can we create safe spaces for our partners to be their full selves?
• Does this differ professionally and personally?
• What are the biggest mistakes people make in building safe spaces?

5. Listening:

• What does great listening in a relationship mean? How can we do it better?
• Often people jump from listening to solution mode, is that wrong?
• Why does Simon have a rule of “no crying alone”. What does it do and how is it productive? When was the last time Simon cried?

6. Simon Sinek: AMA:

• What is success to you?
• Can one be “successful” and unhappy?
• What is the difference between happiness and joy?

Douwe Kiela is the CEO of Contextual AI, building the contextual language model to power the future of businesses. Last month Contextual closed a $20M funding round including Bain Capital, Sarah Guo, Elad Gil and 20VC. He is also an Adjunct Professor in Symbolic Systems at Stanford University. Previously, he was the Head of Research at Hugging Face, and before that a Research Scientist at Facebook AI Research.

In Today's Episode with Douwe Kiela We Discuss:

1. Founding a Foundational Model Company in 2023:

• How did Douwe make his way into the world of AI and ML over a decade ago?
• What are some of his biggest lessons from his time working with Yann LeCun and Meta?
• How does Douwe's background in philosophy help him in AI today?

2. Foundational Model Providers: Challenges and Alternatives:

• What are the biggest problems with the existing foundational data models?
• Will there be one to rule them all? How does the landscape play out?
• Why does Douwe believe OpenAI's data acquisition strategy has been the best?

3. Data Models: Size and Structure:

• Why does Douwe believe it is naive to think the open approach will beat the closed approach?
• What are the biggest downsides to the open approach?
• Does the size of data model matter today? What matters more?
• How important is access to proprietary data? Are VCs naive to turn down founders due to a lack of access to proprietary data?

4. Regulation and the World Around Us:

• How does Douwe expect the regulatory landscape to play out around AI?
• Why is Europe the worst when it comes to regulation? Will this be different this time?
• How does Douwe analyse Elon's petition to pause the development of AI for 6 months?
• Do founders building AI companies have to be in the valley?

Jennifer Hyman is the Co-Founder and CEO of Rent the Runway, the world’s first and largest shared designer closet. Under Jennifer’s leadership, RTR has made history by being the first company to go public with a female founder/CEO, COO, and CFO. Jennifer serves on the Board of The Estée Lauder Companies and Zalando, and also is a Founding Member of the NYSE Board Advisory Council, a Member of the Women.nyc Advisory Board and a Member of the Launch with GS Advisory Council for Goldman Sachs.

In Today's Episode with Jennifer Hyman We Discuss:

1. The 14-Year Overnight Success: Scaling Rent The Runway To IPO:

• What was the a-ha founding moment for Jennifer with RTR?
• What does Jenn know now that she wishes she had known at the beginning?
• Does Jenn believe that naivete is good or not when starting a business?

2. Building the Best Team:

• What have been Jenn's single biggest lessons when it comes to acquiring the best talent?
• What have been Jenn's biggest hiring mistakes over the years?
• How does Jenn approach the interview process? Why does Jenn not focus on their professional career and achievements? What questions does she ask?
• What does Jenn believe are the single biggest mistakes founders make when building their teams?

3. Building the Business for IPO and Beyond:

• Why does Jenn wish she had run RTR as a private company in the same way she does now as a public company? How does the way you run the company differ?
• What about the unit economics of RTR suggesting it is a fundamentally better business than apparel competitors? How have their margin profiles changed over time?
• Why does Wall St not love RTR? What is required for that to change? Why does Jenn believe the street is wrong on how they analyse RTR?

4. Boards 101: Leading and Learning from Estee Lauder:

• What are Jenn's biggest lessons to founders on how to manage boards successfully?
• What have been 1-2 of Jenn's biggest lessons from being on the Estee Lauder board?
• What do the best board members do? What do the worst board members do?

Akin Babayigit is a serial entrepreneur and an active angel investor. He is currently the Founder and COO of Tripledot Studios, one of the fastest-growing mobile gaming companies in the world, which was recently valued at over $1.4BN. In just 4 years, Tripledot grew to generate several hundred million dollars per year in revenue and currently entertains over 50 million people every month. Tripledot was recently named as the #1 fastest-growing European company by FT, as well as being named as the fastest-growing Tech business in the UK, in the annual “UK Tech Awards”.

In Today's Episode with Akin Babayigit We Discuss:

Entry into the World of Startups and Gaming:

• How Akin made his way from Turkey to HBS and founding a unicorn in Tripledot?
• How did the lack of a father figure impact Akin's approach to parenting?
• What are 1-2 of Akin's biggest takeaways from his time at Facebook, Skype and King.com?
• What advice would Akin give to all new joiners at a company today?

90% of Startup Advice is Total BS:

1. BS Myth #1: "You have to be passionate about your domain". Why does Akin disagree with this? If you do not have passion for the domain, what do you have to have?
2. BS Myth #2: "You have to be solving a real problem". Why does Akin disagree with this mantra? If you are not solving a real problem, what should you be solving?
3. BS Myth #3: "When you do a startup, your life will suck for a long period of time". Why does Akin strongly disagree with this? Does it get easier over time? What does Akin advise founders to make the earlier days easier?
4. BS Myth #4: "Focus is everything. You should focus on a single thing and only do that." Why does Akin believe that focus can be dangerous? How should founders know when to pivot vs when to keep going?
5. BS Myth #5: "Mission and vision statements are so important." Why does Akin believe that the majority of mission statements are BS? Is it worth having them at all?
6. BS Myth #6: "You should hire people with domain experience." Why does Akin believe you should hire people who do not have domain experience? What does Akin look for in these candidates? What have been his biggest hiring mistakes? How has his hiring changed over time?
7. BS Myth #7: "Speed is the most important thing." Why does Akin believe that speed can be dangerous? When is it right to go fast vs go slow?
8. BS Myth #8: "Valuations matter and you should optimize." Why does Akin believe that valuations do not matter in the long run? How should founders approach the valuation discussion with this in mind?

Rob Go is a co-founder and Partner at NextView, one of the leading seed firms of the last decade with a portfolio including Attentive, Devoted Health, Whoop, and Grove Collaborative. Prior to co-founding NextView, Rob was an investor at Spark Capital and held product and product marketing roles at Ebay. He began his career as a consultant at The Parthenon Group.

In Today's Episode with Rob Go We Discuss:

1. Entry into the World of Venture:

• How a cold call from a VC firm led to Rob entering the world of venture?
• Why does Rob believe venture is a young person's game?
• What does Rob know now that he wishes he had known when started in venture?

2. Preparing Docs for a Fundraise:

• What docs should fund managers have ready before they start the raise?
• How should they structure their data room?
• Where do the majority of LPs spend their time, document-wise?
• What are the single biggest mistakes emerging managers make preparing docs for a raise?

3. Meeting Your First LPs:

• What is the best way for emerging managers to meet LPs for the first time?
• Should they send the deck before or after the meeting?
• What questions should emerging managers ask to qualify LPs in or out of a meeting?
• What are some clear early signs that a first meeting went well?

4. Closing LPs: The Tips and Tricks:

• How important is it for a fund to have an anchor?
• How much of a fund should the anchor be?
• Are there different qualities of anchor LPs?
• Should managers ever sell part of their GP or give an LP part of the carry?
• What can managers do to enforce a sense of urgency to get LPs over the line?
• What are signs that an LP will not invest in the fund without rejecting you yet?
• Should emerging managers impose a minimum check size on new LPs?

Gina Gotthilf is a Co-Founder and COO at Latitud, an a16z-backed platform supporting the next generation of iconic tech startups in Latin America through digital products, a community and fund. Previously, Gina led growth and marketing at Duolingo from 3 to 200 million users via organic strategies and was part of the executive team. She also worked on the Mike Bloomberg presidential campaign, helping oversee the creation of digital ad campaigns at a historical budget, and led growth and community for Tumblr in Latin America.

In Today's Discussion with Gina Gotthilf We Discuss:

Entry into the World of Growth:

• How Gina went from working on a farm to leading growth for Tumblr in LATAM?
• What are 1-2 of Gina's biggest takeaways from her time leading growth for Duolingo?
• What does Gina know now that she wishes she had known when she entered the world of growth?

15 Top Tips and Secrets to Being Featured in the Best Publications:

• What is the best way to get in touch with journalists? What mistakes do founders have when they reach out to journalists?
• Should founders get in touch with more than one journalist at a publication?
• Should founders be explicit about the embargos they have on a story? Should they stick to them?
• Should founders be more wary of being published in a publication with a paywall?
• What materials should they send to journalists to get their attention?
• Should founders send press releases in early messages to journalists?
• How can founders control in some way what the journalist will ultimately publish?
• How long before the company wants the piece to come out, should they reach out to journalists?
• How can founders create FOMO when trying to get journalists to write their story?
• How can founders create social validity with journalists, when they are a small company?
• Once published, what should the distribution strategy look like?
• How can you get people you know to like and share content you are featured in?
• What are the top tips and tricks to get people to share content with you in?
• Should PR and Comms be an ongoing effort or static projects with news stories?
• What are the single biggest mistakes founders make in getting their company in the press?

Alex Lebrun is the Co-Founder and CEO of Nabla, an AI assistant for doctors. Prior to Nabla, he led engineering at Facebook AI Research. Alex founded Wit.ai, an AI platform that makes it easy to build apps that understand natural human language. Wit.ai was acquired by Facebook in 2015. Prior to Wit, Alex was the Founder and CEO of VirtuOz, the world pioneer in customer service chatbots, acquired by Nuance Communications in 2013.

In Today's Episode with Alex Lebrun We Discuss:

1. Third Time Lucky and Lessons from Zuckerberg:

• How did Alex make his way into the world of startups with the founding of his first company?
• What worked with Alex's prior companies that he has taken with him to Nabla? What did not work that he has left behind?
• What were the single biggest takeaways for Alex from working with Mark Zuckerberg? How does Mark prepare for meetings? How does Mark negotiate so well?

2. Open vs Closed:

• Why does Alex believe the winning AI models will always be open?
• Why are open models not as transparent as people think they are?
• What are the biggest downsides to both open and closed models?
• Does Alex agree with Emad @ Stability that we will have "national data sets"?

3. Incumbent vs Startup:

• Who wins in the AI race; startups or incumbents?
• How important is access to proprietary data in winning in AI today?
• How does Alex respond to many VCs who suggest so many AI startups are merely "a thin layer on top of a foundational model"? Is that a fair critique?
• Which startups are best placed to challenge incumbents? Which incumbents have been most impressive in adopting AI into existing product suites?

4. Models 101: Size, Quality, Switching Costs:

• Why will the best companies switch the models that they use often?
• Will any models in action today be used in a year?
• How important is the size of the model? How will this change with time?
• In what way is new EU regulation around models going to harm European AI companies?

5. Location Matters: Who Wins:

• When looking at China, US and Europe, who is best placed to win the AI war?
• What are the biggest challenges Europe and China face?
• Why is the US best placed to win the AI race? What does it have to overcome first?
• If Alex were a politician, what would he do to ensure his country were best positioned?

Noah Weiss is the Chief Product Officer of Slack, overseeing the product team’s strategy and development. Over his seven years at Slack, Noah has led various parts of the product organization, including the self-service SMB business and product-led growth; the Virtual HQ team that launched huddles and clips; and the search and machine learning teams. Prior to Slack, Noah served as SVP of Product and Analytics at Foursquare. He started his career at Google leading the structured data search team and working on display ads.

In Today's Episode with Noah Weiss We Discuss:

1.) Entry into Product and Road to Slack CPO:

• How did Noah make his first foray into the world of product with Google?
• What are 1-2 of his single biggest takeaways from his time with Google and Foursquare?
• What model did Noah learn at Google that he applies to product today?

2.) Product 101: The Foundations:

• Is product more art or science? If Noah were to put a number on it what would it be?
• What are product principles? What makes good vs bad product principles?
• What are the biggest mistakes that founders make when instilling product principles?
• Does Noah believe with Gustav Soderstrom, "talk is cheap and so we should do more of it"?

3.) How to Master Product-Led-Growth:

• What are some of Noah's biggest lessons on how to master PLG?
• What are the biggest mistakes Noah sees early stage founders make today when going for the PLG approach? How does he advise them?
• When is the right time to move into enterprise? What needs to change?
• How do you change who you build product for? The buyer or the user?
• Why does Noah believe product speed will always be the most important thing in product?

4.) The Internals of Slack:

• How does Slack do post-mortems today? Who comes? Who sets the agenda? How has this changed in a world of remote? What does it take to do them well?
• How do Slack do product testing pre-launch of new products? Do they know when something is going to be a hit? What did they think would be a massive hit that turned into a flop?
• What does Noah believe is the biggest near death product experience for Slack? What happened? How did they get through it?
• Why do Slack buy other companies? How do they think through the decision of buy vs build?
• When do acquisitions work? When do they not work?

Rishi Sunak is the Prime Minister of the United Kingdom. He was previously appointed Chancellor of the Exchequer from 13 February 2020 to 5 July 2022. He was Chief Secretary to the Treasury from 24 July 2019 to 13 February 2020, and Parliamentary Under Secretary of State at the Ministry of Housing, Communities and Local Government from 9 January 2018 to 24 July 2019. Before entering the world of politics, Rishi co-founded an investment firm.

In Today's Episode with Rishi Sunak We Discuss:

1. The United Kingdom: Open for AI: Open for Business

• Why does Rishi believe the UK is best placed to lead the way for innovation in AI?
• What can the government do to ensure the public and private sectors work together most efficiently?
• Why has Rishi created an entirely new division just for this? How does this change how decisions for AI and technology are made?

2. $100M Funding: The Largest Government Funding in the World:

• Why did Rishi decide to allocate the largest pool of capital of any nation toward AI safety?
• What is the strategy for the $100M? How will it be invested? Who will manage it?
• What are the challenges and opportunities in setting up this $100M funding program?

3. Education: Attracting the Best in the World:

• What has Rishi done to ensure the best talent in the world, wants to and can work in the UK?
• What new initiative has Rishi put in place to ensure the world's brightest students can freely move to and work in the UK?
• What can be done to ensure the UK continues to foster the same level of homegrown talent that we always have done? What can we do to improve our current education system for AI even further?
• Why does Rishi believe one of the greatest opportunities for AI lies in education and teaching?

4. Making Regulation Work Effectively:

• How does Rishi think about creating regulation which is both effective and not prohibitive?
• What can we do to create a government that moves at the speed of business?
• What does Rishi believe are the biggest mistakes made in regulatory provisions? What are we doing to avoid them with AI in the UK?

Larry Summers is the Former Treasury Secretary and one of America's leading economists. In addition to serving as 71st Secretary of  the Treasury in the Clinton Administration, Dr. Summers served as Director of the White House National Economic Council in the Obama Administration, as President of Harvard University, and as the Chief Economist of the World Bank. Huge thanks to Sarah Cannon for the intro to Larry today.

In Today's Episode with Larry Summers We Discuss:

1. The Journey to Being One of the World's Leading Economists:

• How Larry's mother and father both being economists shaped his early thinking as an economist?
• How did Larry's parenting teach his children economics at an early age?
• What does Larry know now that he wishes he had known when he entered the workforce?

2. How to Get the US Out of Debt:

• What would Larry do to save the US economy today?
• What can be done to increase revenues for the US economy?
• Why does Larry believe carried interest should be taxed as income tax?
• Why does Larry believe we need more billionaires? How would he tax them more efficiently?
• Why does Larry believe cutting taxes is indefensible?
• What can be done to reduce inflation without massively hurting the poorest in society?

3. The World Around Us:

• What does Larry mean when he says, "Europe is a museum, China is a jail and Bitcoin is an experiement"?
• Why does Larry believe the next 5 years will be difficult for China?
• Why does Larry believe the next 5 years will be challenging for Europe?
• Which nation is Larry most confident about when projecting forward for the next 5-10 years?

4. Politics and a Trump Administration:

• How does Larry reflect on the role of Biden on the US economy and state of inflation?
• Would a Trump administration be better or worse for the US economy?
• What are the chances of Trump beating Biden in the next election?
• What would Larry most like to change about the US political system?