OpenAI's new models, the MrBeast leak, Waymo ♥’s Uber and more! | E2009

Jason and Alex kick off the show. (0s)

• A discussion takes place about a company where employees transitioned from a non-profit to a for-profit entity. (32s)
• The discussion then shifts to the potential of coding and artificial intelligence. (42s)
• Alex announces the birth of his second child and shares his experience of being a new parent again. (2m10s)

Highlights from the All-In Summit (3m57s)

• The speaker was pleased with their performance as moderator at the All-In Summit, feeling they were able to focus on asking tough questions. (4m40s)
• The speaker believes in asking follow-up questions, a journalistic technique to elicit more information from interviewees. (5m10s)
• The speaker found JD Vance impressive despite disagreeing with his political stances, while the interview with Travis Kalanick felt like a homecoming after his departure from Uber. (5m50s)

Tackling media criticism and the state of journalism (9m16s)

• The speaker believes it is important for the public to be informed about the opinions of those in positions of power, particularly regarding critical issues like elections. (9m58s)
• The speaker plans to watch an interview featuring Vivek Ramaswamy and Sam Harris. (10m2s)
• The speaker recommends watching an interview with Travis Kalanick, describing it as emotional and heartfelt, particularly due to Kalanick's discussion of his experiences with PTSD. (10m21s)

Washington Post - TWiST listeners can subscribe for just 50 cents per week for your first year (10m23s)

• The Washington Post provides comprehensive coverage of national news, politics, technology, and business. (10m34s)
• The Washington Post offers a daily personalized newsletter called "It's For You" that curates stories based on user preferences. (10m43s)
• Listeners are encouraged to subscribe to The Washington Post for $0.50 per week for the first year, which is 80% off the regular price. (11m19s)

Alex and Jason dive into OpenAI's latest model and implications (11m49s)

• OpenAI has released a new language model that demonstrates significant improvements in reasoning abilities. (11m53s)
• This new model utilizes "reasoning tokens" and reinforcement learning to refine its thinking process and provide more accurate and complex responses. (14m22s)
• While currently slower and more expensive to run, the model's enhanced reasoning capabilities represent a substantial advancement in language model technology. (18m10s)

Examination of OpenAI's corporate structure and financing (19m46s)

• Sam Altman, the CEO of OpenAI, has reportedly been in discussions to restructure OpenAI's organizational model. (20m6s)
• OpenAI's current corporate structure involves a foundation that owns a non-profit organization, which in turn owns a for-profit entity. (20m14s)
• This complex structure is considered unusual and potentially unattractive to investors who typically prefer simpler models like C-Corps. (20m26s)

Brex. Get the business account trusted by 1 in 3 US startups (20m39s)

• Brex is a financial service that provides banking solutions for startups, offering features like checking, treasury, and FDIC insurance in a single account. (21m24s)
• Brex offers 20 times the standard FDIC protection through program banks, industry-leading yield on cash deposits, and fast international money transfer capabilities. (21m37s)
• Brex is a popular choice among startups, with one in three US-based startups using their services. (21m50s)

Further analysis of OpenAI's business model (21m51s)

• OpenAI's business model is being compared to a hypothetical real estate venture where physical assets are donated for tax benefits, spun out into a for-profit entity, and employees of the spin-out receive equity, raising concerns about potential tax implications and the fairness of the arrangement. (23m30s)
• There is speculation about the ownership structure of OpenAI, with suggestions that it resembles the complex ownership structures often seen in Chinese companies listed in the US, leading to a lack of transparency. (24m34s)
• OpenAI's high valuation of $150 billion is questioned, particularly in light of its reported $2-3 billion revenue run rate, with suggestions that investing in other tech giants like Google, Amazon, Apple, or Facebook might offer similar returns with less risk. (26m50s)

OpenAI's valuation and perspectives on speculative investment (27m8s)

• OpenAI's valuation is considered speculative, with comparisons to investing in companies like Uber for vanity and credibility. (27m40s)
• Venture capital firms may invest large sums in companies like OpenAI due to management fees, potential carries, and the low risk associated with investing in a high-profile company. (28m49s)
• The emergence of numerous startups in the AI coding assistance space, such as Super Maven Tech, raises the question of whether it is more strategic to invest in these smaller companies or in established model companies like OpenAI. (30m24s)

AssemblyAI - Get 100 free hours to start building (30m26s)

• AssemblyAI provides AI models that can be used to create new features from voice data. (30m42s)
• AssemblyAI's speech-to-text AI models are accurate, fast, and have a low word error rate. (31m32s)
• Developers can get 100 free hours to use AssemblyAI's services by visiting assemblyai.com/twist. (31m42s)

The landscape of AI startup investments (32m7s)

• General partners in venture capital firms can choose to focus on making a large number of smaller investments and supporting those companies or a smaller number of larger investments and closely monitoring market fluctuations. (32m14s)
• Many AI startups are focusing on coding because it is a high-value sector where AI excels, particularly in professions like law, accounting, and software development. (33m16s)
• The increasing use of AI in coding could lead to a decrease in the number of developers needed due to increased efficiency, or it could lead to a surge in the number of developers as the barrier to entry is lowered and more individuals are empowered to write code themselves. (34m14s)

How AI is enhancing developer productivity (35m20s)

• Writing code will eventually be considered a menial and low-skill task, similar to typing. (35m22s)
• There are many startups working on AI for developers, and it is a category worth tracking. (35m46s)
• AI is having a positive impact on developer productivity, and developers are embracing these tools. (36m12s)

AI's potential in consumer markets (36m33s)

• Many startups and investors are focusing on business-to-business (B2B) opportunities with large language models (LLMs) rather than consumer opportunities. (36m36s)
• Large companies like Facebook and Twitter are incorporating AI into their social media platforms, but there's potential for more AI-first consumer services. (37m18s)
• An example of an AI-first consumer service is a Yelp-like platform where users can use natural language to search for local businesses instead of using traditional search methods. (37m49s)

Uber's partnership with Waymo and its implications (38m16s)

• Uber and Waymo are expanding their partnership to bring Waymo self-driving vehicles to the Uber app in Austin and Atlanta in early 2025. (38m45s)
• This partnership is significant because it suggests a deep integration between the two companies, with Waymo potentially becoming the exclusive provider of autonomous vehicles for Uber in these cities. (38m48s)
• The speaker believes that the future of the autonomous vehicle industry will involve specialization, with different companies focusing on manufacturing, software development, fleet management, and network operation. (40m28s)

The realities of autonomous vehicle technology deployment (41m15s)

• Tesla owners may be hesitant to add their vehicles to ride-sharing networks due to concerns about availability and potential misuse. (41m15s)
• Partnerships between companies in the autonomous vehicle industry, such as the one between Waymo and Uber, could potentially lead to mergers and acquisitions. (41m43s)
• Waymo's CEO has indicated that the company is open to selling its technology to car manufacturers and partnering with ride-hailing networks. (43m16s)

The government's role in autonomous vehicle tech and partnerships with big tech (47m0s)

• The federal government and big tech companies will likely need to provide significant funding to support the widespread adoption of autonomous vehicles. (47m25s)
• The speaker believes that in the future, car ownership will decrease significantly as older generations stop driving and younger generations opt for autonomous alternatives. (48m30s)
• Uber is positioning itself as a platform for autonomous vehicles through partnerships with manufacturers like BYD and investments in companies like Cruise, Waymo, and Aurora. (49m43s)

Economic insights: Predictions on the Fed rate cut (52m26s)

• The prediction markets indicate a 50% to 70% likelihood of a 50 basis point interest rate cut. (52m53s)
• A 25 basis point cut is favored due to its consistency and the potential for a 3% to 3.5% interest rate by the following year. (53m6s)
• A 50 basis point cut is supported as the labor market has weakened, and it could provide a boost to the economy. (54m43s)

The influence of interest rates on startups and investment strategies (56m26s)

• When interest rates are low, investors have fewer options and may invest more heavily in assets like real estate, equities, private equity, and venture capital. (56m38s)
• Higher interest rates allow individuals to earn more interest on their savings, as illustrated by the example of money market accounts generating noticeable returns. (56m53s)
• High prices for goods and services, particularly in hospitality settings like hotels, can incentivize consumers to seek more affordable alternatives, such as using food delivery services instead of room service. (58m47s)

Discussing cost of living adjustments and food delivery trends (58m52s)

• A new food preparation machine is being utilized by a company staffed by former Uber autonomy team members. (58m52s)
• The machine prepares meals with ingredients like chicken, steak, and vegetables, then packages them for delivery drivers. (59m6s)
• This technology, similar to systems being developed by Sweetgreen, aims to provide fresh food 24 hours a day through services like Uber Eats. (59m53s)

Innovations in autonomous food preparation (1h0m44s)

• The speaker refers to a theme of "autonomy endgame". (1h0m44s)
• The speaker mentions creating a lot of content and taking notes to avoid re-watching their own videos. (1h0m52s)
• The speaker was assigned to summarize a 37-page leaked production document about MrBeast. (1h1m14s)

Analyzing Mr. Beast's content creation and business culture (1h1m21s)

• MrBeast's content creation is compared to running a mid-sized company with recurring deadlines due to the constant need to produce content that remains relevant. (1h1m57s)
• The primary goal of MrBeast's production organization is to create the best possible YouTube videos, prioritizing success on the platform over emulating Hollywood or other filmmaking styles. (1h2m15s)
• The content aims to be exciting and engaging, particularly within the first minute, using a structured approach similar to a three-act screenplay to maintain viewership. (1h3m27s)

How large companies can maintain focus on goals (1h9m12s)

• Large companies often struggle to maintain focus because they are involved in numerous projects, making it difficult for all employees to share a common goal. (1h9m41s)
• Coordinating work and maintaining focus becomes challenging when a company grows to tens of thousands of employees. (1h9m57s)
• Large companies often exhibit similar characteristics in their appearance, behavior, and operations, which can be undesirable. (1h10m8s)