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(Bronson Stamp for Sherwood Media)

OpenAI is Lyft

First to market doesn’t mean first place in market.

Back in 2007, the US housing market was about to fall off a cliff, and “Irreplaceable” by Beyoncé was the song of the year. Most people didn’t have smartphones, and you still had to pick up a phone to call a cab after having one too many drinks. (Let’s be honest: most people didn’t.)

Then came Zimride, a Facebook-based ride-share service founded by John Zimmer, an analyst at Lehman Brothers, and Logan Green, a student at UC Santa Barbara. It was inspired by Green’s travels to Zimbabwe, where carpooling services were common. 

Zimride eventually became Lyft, which today most people think of as a less successful competitor to Uber, the ride-hailing service that came out in 2009. Despite being first to market, Lyft now has a fraction of Uber’s market share.

OpenAI may face a similar fate. An early entrant that got beat at its own game. Not your first choice but the cheaper alternative. The one that doesn’t become a verb.

Let’s look at OpenAI’s signature product, ChatGPT. Its chatbot hasn’t proved to be any better than others. Truly, none of the chatbots have demonstrated they have any secret sauce. If you found somebody who’s been living under a rock for the past five years and asked them to use ChatGPT, Claude, Gemini, or Perplexity, I don’t think they’d be able to tell you which one has the most resources; they’re all more similar than they are different. 

As a journalist, I’ve tried to use chatbots as an alternative to Google, but found myself reinvesting some of the time I saved by fact-checking its answers. Perplexity, a smaller competitor to OpenAI’s ChatGPT, at least has citations next to each statement, which makes the fact-checking step easier.

Uber is bigger because it successfully expanded globally and into other types of services, like food delivery. Lyft decided to stay Stateside and focused on US market domination, which it has yet to achieve. In other words, Lyft failed because Uber was better at identifying synergies and what consumers wanted.

So far, OpenAI has not shown that it’s particularly good at those things. Frankly, OpenAI should consider itself lucky if it reaches a similar fate to Lyft in 10 years. Lyft is still a useful, relevant, and profitable product even if it is underperforming its peers. Personally, I’m still not convinced generative-AI technology will be any of those things a decade from now.

Read the other arguments for OpenAI's future here.

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Translating Microsoft’s CEO Satya Nadella

On yesterday’s second-quarter earnings call, Microsoft CEO Satya Nadella laid out the company’s strategy for growing its AI infrastructure to meet the intense demand it is seeing, while still keeping costs under control. But sometimes tech CEOs can be a little too jargony, so we helped explain some of his lingo in plain English.

(Photo: FABRICE COFFRINI / Getty Images)

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Driverless Waymo struck a child near school in California

A Google Waymo struck a child near a Santa Monica elementary school during morning drop-off last week, as self-driving cars by Waymo, Tesla, and others continue their expansion across the country. In a blog post, Waymo said the fully driverless car detected the child as they emerged from behind a parked SUV, braked sharply, and reduced speed from approximately 17 mph to under 6 mph before striking the child. The child suffered minor injuries and walked away.

The company reported the incident to the National Highway Traffic Safety Administration, which is currently investigating, adding fresh scrutiny to how robotaxis perform in the wild.

The company reported the incident to the National Highway Traffic Safety Administration, which is currently investigating, adding fresh scrutiny to how robotaxis perform in the wild.

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Digging into Microsoft’s cloud backlog

Microsoft’s Azure cloud computing unit is seeing huge demand. In yesterday’s second-quarter earnings call, Microsoft CFO Amy Hood said the company’s commercial bookings increased 230% thanks to large commitments from OpenAI and Anthropic and healthy demand for its Azure cloud computing platform.

Hood said that the company’s “remaining performance obligations” (RPO) ballooned to a staggering $625 billion, up 110% from the same period last year. How long will it take for Microsoft to fulfill these booked services? Hood said the weighted average duration was “approximately two and a half years,” but a quarter of that will be recognized in revenue in the next 12 months.

Shares of Microsoft tanked today, down over 11%, despite the strong beat on revenue and earnings. The drop puts the stock on track to have its worst single-day drop since March of 2020.

Investors may be concerned that while huge, that extra demand was coming only from OpenAI, an issue that Oracle recently experienced.

But Hood said the non-OpenAI RPO still grew 28% year on year, which reflects “ongoing broad customer demand across the portfolio.”

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Meta and Tesla are funding the future with their core businesses — but only one of them is still growing

The two tech giants, on back-to-back earnings calls, made it sound like they’re selling the same AI-powered future. But the picture of the underlying businesses, and how they’re using AI to furnish current sales, couldn’t be more different.

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