OpenAI COO Brad Lightcap: GPT-5's Capabilities, Why It Matters, and Where AI Goes Next
Brad Lightcap is the Chief Operating Officer of OpenAI. Lightcap joins Big Technology to discuss the launch of GPT-5, how it works, what sets it apart from previous models, and whether it's AGI. We also cover scaling laws, post-training breakthroughs, enterprise adoption, health care applications, pricing strategy, and the company’s profitability outlook. Hit play for a front-row seat to OpenAI’s thinking on the future of AI.
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Hard Fork Live, Part 1: Sam Altman and Brad Lightcap of OpenAI
The first Hard Fork Live is officially in the books, and for those who couldn’t attend, we’re playing highlights from the event in this episode and the next. This week, Mayor Daniel Lurie of San Francisco makes a surprise appearance to discuss the advice he’s receiving from tech executives during the early days of his administration, as well as how he built a social media presence that’s got Kevin wondering: Could we do that? Then, the conversation that had everyone talking: We’ll play our interview with OpenAI’s chief executive, Sam Altman, and chief operating officer, Brad Lightcap, and explain what was going on in our heads as the conversation unfolded in a way we did not expect.
We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok.
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20VC: OpenAI's Sam Altman, Mistral's Arthur Mensch and more discuss: Will Foundation Models Be Commoditised | Which Startups Are Threatened vs Enabled by OpenAI | Is the Value in the Infrastructure or Application Layer?
Sam Altman is the CEO @ OpenAI, the company on a mission is to ensure that artificial general intelligence benefits all of humanity. OpenAI is one of the fastest-scaling companies in history with a valuation of $90BN and $2BN+ in revenue.
Brad Lightcap is the COO @ OpenAI and the man responsible for the incredible scaling of sales, GTM, partnerships and business to today being over $2BN in revenue.
Arthur Mensch is the Co-Founder and CEO of Mistral AI. Since its inception in May 2023, Mistral has raised over $520M in funding from investors like Andreeseen Horowitz, General Catalyst, Lightspeed Venture Partners, and Microsoft with a current valuation of $2 billion.
Des Traynor is a Co-Founder of Intercom, and has built and led many teams within the company, including Product, Marketing, and Customer Support. Today Des leads all of Intercom's R&D efforts, and parts of Intercom's marketing.
Tom Hulme is a Managing Partner of GV (Google Ventures), and leads the European team. Today, GV has over $10BN in AUM and Tom has led investments in Lemonade.com (IPO), Snyk, Secret Escapes, Blockchain.com, GoCardless, and Currency Cloud (exited to Visa).
Tomasz Tunguz is the Founder and General Partner @ Theory Ventures, just announced last week, Theory is a $230M fund that invests $1-25m in early-stage companies that leverage technology discontinuities into go-to-market advantages.
Sarah Tavel is a General Partner @ Benchmark, one of the most successful and renowned venture firms in the world. At Benchmark, Sarah has led rounds in Chainalysis, Hipcamp, Medely, Rekki, Glide, Cambly and more.
In Today's Episode We Discuss:
Will foundation models be commoditised?
What is the end state for the foundation model landscape in 10 years?
How will large cloud provider incumbents approach M&A with smaller foundation model providers?
When will we see marginal revenue exceed marginal cost in the foundation model business model?
Where is the value: the application layer or the infrastructure layer?
How can startups know whether they will be threatened by OpenAI?
What are good tests/questions to know if you are in the path of one of the large foundation models?
How does the business model of SaaS fundamentally change in a world of AI?
Will we see the end of per-seat pricing in a new world of AI?
What is the right way to approach pricing in a world of AI? Consumption? Tokens?
20VC: OpenAI's Sam Altman and Brad Lightcap on The Future of Foundation Models: Will They Be Commoditised | How to Solve the Problem of Compute | Open vs Closed: Which Dominates and Why | Which Companies and Verticals Will Be Steamrolled by OpenAI
Sam Altman is the CEO @ OpenAI, the company on a mission is to ensure that artificial general intelligence benefits all of humanity. OpenAI is one of the fastest-scaling companies in history with a valuation of $90BN and $2BN+ in revenue. Prior to OpenAI, Sam was the President and CEO @ Y Combinator and made angel investments in the likes of Airbnb, Stripe, Reddit, Pinterest, Asana and more.
Brad Lightcap is the COO @ OpenAI and the man responsible for the incredible scaling of sales, GTM, partnerships and business to today being over $2BN in revenue. Before OpenAI, Brad was an investor at Y Combinator, where he met Sam and before that led finance and operations initiatives at Dropbox.
In Today's Episode with Sam Altman and Brad Lightcap We Discuss:
1. The Partnership: The Most Powerful Double Act in Tech:
How did 25 people rejecting OpenAI's CFO positions 6 years ago, lead to Brad joining OpenAI before Sam even did? What did he see that the world did not?
What does Brad think is Sam's biggest superpower that the world does not know? What does Sam think it Brad's biggest superpower that the world does not now?
How do decisions get made between Brad and Sam? How do they decide what to delegate vs what not to? What is the most recent disagreement they had? How did they resolve it?
2. The Next 12 Months for OpenAI: Bottlenecks, Compute and Commoditisation:
What are the core bottlenecks facing OpenAI in the next 12 months?
How does Sam believe we solve the fundamental problem of compute?
What is the single biggest barrier to the quality of models improving?
What is the end state for the model landscape? Will models become commoditised?
3. OpenAI: The Fastest Scaling Company in History:
What has been the secret to how OpenAI has scaled to $2BN in revenue in 24 months?
Why does Sam believe that he is "not a great operator"? What drives this thinking?
What have been the first things to break in the scaling of OpenAI?
What do Brad and Sam know now about the scaling that they wish they had known at the start?
Why does OpenAI lean towards hiring more experienced people in the team?
4. How to Invest and Operate in a World of OpenAI:
What single question can founders ask that will reveal if they will be steamrolled by OpenAI?
Does Sam believe huge numbers of companies will be steamrolled by OpenAI?
For investors, is there money to be made investing in the application layer of AI today?
What question should all businesses be asking about how to adopt and use AI in their business?
5. Sam Altman: AMA:
What have been the single biggest lessons Sam has learned from the founders he has invested in?
Which founders has he learned the most from? What did he learn from each?
What is Sam most concerned about in the world today? Why what?
What unexpected traits or characteristics does Sam most look for in the founders he invests in?
Why does Sam say that he is not happy but he is grateful?