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A media mogul billionaire, a supermodel, and a unicorn founder walk into a conference.

Welcome to life at The Long Play.

BI's big event in NYC, which I had the honor of hosting, featured leaders from across the business spectrum. From AI infrastructure and healthcare to video games and publishing, we had it all covered.

You'd think such a wide-ranging group would be facing very different challenges. And on a granular level, they are. Carolyn Tisch Blodgett's daily efforts to gain support for Gotham FC are very different from John Santora's day-to-day work turning around WeWork.

But one big takeaway I had from the day — and something I heard repeatedly from people I spoke with at the event — is that the big-picture challenges are the same. And hearing how top leaders are navigating them was incredibly helpful.

Maybe that's growing your business in the face of some political surprises (Nubank cofounder Cristina Junqueira). Maybe it's pivoting a company to lean into the AI era (CEO of Allbirds-turned-Smartbird Nadia Carlsten). Or maybe it's just about taking the right steps to stay healthy in your daily life (Take-Two Interactive CEO and chairman Strauss Zelnick).

After all, we're all thinking about the long play.

Here are some other big stories from the day:

Barry Diller weighs in on his MGM deal. The media mogul believes real-world experiences are the strongest hedge against AI, which is why his company People Inc. tried to buy MGM in June. At BI's The Long Play, Diller shared why the deal ultimately fell apart and why he has no plans to retire at the age of 84.

The room was full of schmoozing and musing. Our reporter Henry Chandonnet networked with founders fine-tuning pitches, contemplating the future of work, and sharing laughs from their seats at The Long Play. From the hot takes to the aha moments and surprisingly (in Henry's words!) good food, see what it was like in the room.

From history-making supermodel to leading a brand empire. Ashley Graham's career spans from being the first-ever plus-size model on the cover of Sports Illustrated to building a business portfolio. She shared why raising money for her alcohol brand was "very, very hard and humbling." You can watch her discuss vision boarding and how rejection has made her better in business with BI's Leena Rao.

The guy behind one of gaming's most anticipated releases has some health advice. Strauss Zelnick leads the company behind Grand Theft Auto, but he keeps some simple, healthy habits. He shared the eight he lives by and why peptides aren't one of them. And much like his health regimen, Zelnick prefers a clear-cut management style, prioritizing direct CEO access and avoiding "toxic" discretionary pay programs.

Also at The Long Play:

• Nubank, Latin America's largest digital bank, is turning its eyes toward the US — where foreign rivals have failed. Plus, watch Nubank's co-founder share her fintech success story.
• How a co-owner of the New York Giants is using AI to build a women's sports powerhouse with Gotham FC. She also explained why bringing your whole self to work can mean bringing your kids, too.
• WeWork CEO explains how a dress code and RTO flexibility helped change the culture at the once-troubled company.
• Smartbird's CEO talks about converting a shoe company into an AI player.

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Winning is all about losing when it comes to weight-loss drugs. Eli Lilly thinks it has a REAL loser on its hands.

The pharma giant published results from its first clinical trial pitting retatrutide, a next-generation injectable medication awaiting regulatory approval, against Ozempic.

Patients with type 2 diabetes using retatrutide, or "reta" as some know it, lost, on average, more than twice as much weight (47 pounds) as those on the highest dose of Ozempic (21 pounds) during 16 months.

BI's Hilary Brueck has all the details on the trial here.

Dubbed "King Kong" or "triple G" because it mimics three different hormones, some believe the weight loss that users experience using reta could rival bariatric surgery.

Some of you might be well aware of reta. Even though it's still in clinical trials, copycat peptide sellers have flooded the gray market with knock-off versions. Gym bros, in particular, have praised the drug for its ability to shred fat quickly.

Another corner of the healthcare industry is touting a big push into AI.

Ro CEO Zach Reitano spoke to Hilary about the digital healthcare company's new AI agent.

(By the way, Zach is one of our speakers at The Long Play this afternoon! Follow our coverage here.)

Robin can leverage info like your prescriptions or wearable data to make health suggestions. That includes changing medication doses or schedules to reduce side effects.

Ro's push illustrates the race between healthcare companies and AI giants looking to use the technology to better serve their clients.

Companies like Ro benefit from being experts in the space and having easy access to patient data, but sometimes lack the technical know-how of their AI-based peers.

AI companies have the opposite problem. A powerful tech stack can lack subject-matter expertise.

The issue isn't specific to healthcare. It's taking place across industries, and it's why data has become such a premium.

But healthcare, with its privacy concerns, regulations, and high stakes (people's health!), makes it a tricky balance. OpenAI even has a doctor-whisperer to help it navigate AI's medical minefield.

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This wasn't your usual S-1 filing.

Most are drab financial documents: revenue, liabilities, risk factors. Line after line. Page after page.

Anthropic did something different. It wrote its own Good Book, BI's Henry Chandonnet writes.

Anthropic's S-1 reads less like an IPO filing with the SEC than a dispatch from a heavenly mountaintop: the gospel according to Claude.

• An age of miracles? Check.
• A statement of good and evil? Naturally.
• A noble mission, mentioned 79 times? Amen.

Seeking salvation for humanity and a blockbuster stock-market listing. Both, apparently, can fit on the same form.

The language suggests Anthropic isn't merely asking investors to believe it can make money. It asks them to believe in a mission grand enough to make its enormous AI spending look like a necessary cost.

That is the story Anthropic will soon take to Wall Street. At a potential $1.5 trillion to $2 trillion valuation, Anthropic could become the largest IPO ever — just as investors fret that an already wobbly AI trade may struggle to absorb another colossus.

Beneath the biblical flourishes, the filing also answers one of the biggest questions hanging over the AI boom, BI's Alistair Barr writes: Can AI labs actually make money? Yes, and potentially lots of it.

It is a remarkable document. Lucky for you, we've read its 300-plus pages and 259,031 words. Here are the key revelations.

The congregation is not quite of one mind.

Some investors see astonishing growth. Others see hundreds of billions of dollars in future compute commitments. See what smart people are saying about Anthropic's IPO paperwork.

Every doctrine needs an early believer. For Anthropic, that was Spark Capital. The firm appears more than 50 times in the S-1 because partner Yasmin Razavi sits on Anthropic's board; Spark led the company's $450 million Series C at a then-eye-watering $4.5 billion valuation in 2023.

That early faith looks set to be well-rewarded. Anthropic's seven cofounders are also poised to become extraordinarily wealthy when the company goes public. We're talking tens of billions of dollars.

In the next few weeks, public investors will finally get their chance to buy a piece of Anthropic, too.

But they should be aware: Anthropic wants public money, not much public input. Its founders will have 50.1% of the voting power, while a trust created and funded by the company has the ability to appoint four of its seven directors.

Inside the company, meanwhile, there is life among the believers. Anthropic's own workforce offers a glimpse of how Claude is reshaping the company from within, as it rapidly grows headcount and tries to build a "low-ego" culture.

And finally, a question worthy of theological debate: Did AI help write its own scripture? Business Insider put Anthropic's filing through an AI-writing detector. Here's what we found.

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The problem of AI's impact on mathematicians is proving difficult to solve.

OpenAI solving a historically difficult math problem last month kicked off a wider debate about the role AI should play in mathematics.

Sam Altman tried throwing cold water on the AI-arithmeticians beef this week. He said mathematicians have largely gone from anger to acceptance about AI usage in the field.

But that sentiment doesn't quite track with some big names in the field who remain cautious about using the tech.

Terence Tao, a UCLA professor and math prodigy, isn't necessarily pessimistic about AI but also said the "romantic era" of math is over.

"We are entering an era where exciting new things are possible, but some things are being lost," he added.

AI's rapid disruption of mathematics is noticeable.

Shortly after publishing its solution to the Navier-Stokes equations, OpenAI solved an additional 700-plus math problems and released the data on GitHub.

NYU Math professor Tristan Buckmaster said OpenAI's solutions dump wiped out entire research programs.

Finding middle ground between the two sides is proving tricky.

The reaction to a student-run Caltech AI math event shows how seriously some mathematicians take the threat.

Caiman Moreno-Earle, a math major at Caltech, told BI's Truman Dickerson that seeing AI companies quickly solve these legendary math problems was "demoralizing."

It's why the 19-year-old decided to hold a "mathathon" where participants could use AI. Moreno-Earle even got Anthropic and OpenAI to each donate $1 million worth of computing power.

Then came the critics.

A letter garnering more than 700 signatories said the event "is likely to have destructive impacts for the mathematical community."

OpenAI eventually pulled out, but the event is still set to happen. Moreno-Earle maintains the mathathon was less about causing a stir and more about ensuring humans have a place in the field of mathematics in the AI era.

Some will argue mathematicians need to adapt to the times and newer tools. There was no point fighting to use a slide rule once the calculator arrived.

The way AI is going about upending the field is also ruffling feathers, though. AI's solutions aren't always clean or clear, requiring mathematicians to go back and verify its work.

And there are also questions about how AI is coming up with these solutions. Since some mathematicians brainstorm with AI models, some have speculated they're using their own work to front-run them to a solution.