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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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White House releases AI legislative framework

The White House has released its policy wish list for AI legislation — and what it wants excluded.

Still, the odds of any actual AI regulation getting passed in Congress right now are very slim.

The “National Policy Framework” for AI lays out seven issues that the Trump administration wants to see reflected in any congressional action around AI.

The items listed in the framework include:

  • Child safety protections, age verification, and parental controls for AI.

  • Data center projects voluntarily pay their own way when it comes to power, but incentives should still be encouraged.

  • Copyright laws should allow for training models on copyrighted works, while protecting individuals’ voice and likeness.

  • Free speech should be defended for AI systems, preventing the government from pressuring companies to ban or alter content based on partisan agendas.

  • A light touch to regulation to encourage innovation, and no federal agency to regulate AI.

  • American workers vulnerable to AI job replacement should be retrained and supported.

  • Federal AI rules should preempt any state AI legislation to prevent a patchwork of laws that companies would hate.

The policy list is the latest in a series of proposals from the AI-friendly Trump administration.

The items listed in the framework include:

  • Child safety protections, age verification, and parental controls for AI.

  • Data center projects voluntarily pay their own way when it comes to power, but incentives should still be encouraged.

  • Copyright laws should allow for training models on copyrighted works, while protecting individuals’ voice and likeness.

  • Free speech should be defended for AI systems, preventing the government from pressuring companies to ban or alter content based on partisan agendas.

  • A light touch to regulation to encourage innovation, and no federal agency to regulate AI.

  • American workers vulnerable to AI job replacement should be retrained and supported.

  • Federal AI rules should preempt any state AI legislation to prevent a patchwork of laws that companies would hate.

The policy list is the latest in a series of proposals from the AI-friendly Trump administration.

tech

WSJ: OpenAI rolling everything into one desktop “superapp”

OpenAI is trying to eliminate distractions and focus on building AI that helps with enterprise productivity tasks like coding and organizing spreadsheets.

As part of that effort, the startup is consolidating some of its side quests into one superapp, according to a report from The Wall Street Journal.

The plan is to merge ChatGPT, Codex, and the Atlas browser together, as it seeks to focus its efforts as it competes with Anthropic and Google for lucrative enterprise customers.

OpenAI Head of Apps Fidji Simo told staffers in an internal memo that “we realized we were spreading our efforts across too many apps and stacks, and that we need to simplify our efforts. That fragmentation has been slowing us down and making it harder to hit the quality bar we want,” per the report.

The plan is to merge ChatGPT, Codex, and the Atlas browser together, as it seeks to focus its efforts as it competes with Anthropic and Google for lucrative enterprise customers.

OpenAI Head of Apps Fidji Simo told staffers in an internal memo that “we realized we were spreading our efforts across too many apps and stacks, and that we need to simplify our efforts. That fragmentation has been slowing us down and making it harder to hit the quality bar we want,” per the report.

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