Tech
NVIDIA CEO Jensen Huang Delivers Keynote At Developers Conference
(Justin Sullivan/Getty Images)

Jensen Huang’s jargon

Nvidia’s technically savvy CEO may sound like he’s speaking another language, but one thing is clear in our supercut of his speech: he knows his buzzwords and how to sell the crowd.

Steve Jobs kind of invented the modern tech keynote as we know it. 

A black-clad CEO in sneakers prowling across the stage, revealing new products in front of a floor-to-ceiling screen, pulling products out of his pocket to wow the crowd, and, of course, “One more thing…” 

These are all classic Steve Jobs keynote features copied by todays tech executives to varying degrees of success. Nvidia’s Jensen Huang is clearly a student of those famous Apple keynote presentations. But he has taken the format and made it his own. 

Instead of Jobs Issey Miyake black mock turtleneck, Huang usually rocks a black leather motorcycle jacket and black sneakers. While their sartorial styles might have been similar, their style of communication could not be more different.

In a 1997 video where Jobs is talking about Apples “Think Different” campaign, he discussed the neglect of the Apple brand and how to bring it back:

The way to do that is not to talk about speeds and feeds. Its not to talk about mips and megahertz. Its not to talk about why were better than Windows.”

Clearly, this is advice that Huang has flipped on its head. Huangs buzzword- and jargon-filled keynote speech at yesterdays Nvidia GTC event is a perfect illustration of how the famously detail-oriented, technically savvy engineer sells his vision (and his products) enthusiastically to a crowd.

Even if they dont know exactly what he is talking about. 

Blackwells, Vera Rubin, and physical AI

The big announcements at the event were Nvidias updated GPUs for AI computing: the Blackwell Ultra GB300 and next years Vera Rubin and Rubin Ultra (in 2027). Faster computing, for less power. Huang also spent a lot of time talking about the companys big plans for robotics and “physical AI,” which involves detailed simulated environments where robots can be trained on a “digital twin” of a warehouse or other model. Nvidia also announced a wide-ranging partnership with GM for their upcoming self-driving car fleet. (The carmaker ditched its Cruise program in December.) 

Gaussian splats, soft bodies, and petaflops

If one thing is clear from watching Huang power through dozens of Nvidia products and technologies in his two-hour power keynote: he knows his jargon. Between the petaflops, exabytes, micro ring resonator modulators, and silicon photonics, you really see how deep Huangs knowledge is about the technology built by the company he founded 32 years ago at a Denny’s

We made a 5.5-minute supercut of Huangs best buzzwords and jargon from yesterdays keynote. At times, it sounds like he is speaking another language, but all the while, he is selling.

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42

Forty-two is the answer to life, the universe, and everything in Douglas Adams’ classic “The Hitchhiker’s Guide to the Galaxy.” It’s also the number of unsupervised Robotaxis Tesla has on the road in Texas, the only state where it’s operating autonomous service, according to records from a newly required government database in the state.

That’s much lower than CEO Elon Musk had hoped, as the company struggles to ready its camera-only autonomous vehicles for commercial scale. In 2025, Musk said that the service would be available to “half the population of the US by the end of the year.”

Even smaller competition has more: Avride has 317 and Nuro has 47. Meanwhile, Tesla’s chief rival, Alphabet subsidiary Waymo, has 577 in operation in the state. Nationwide, Waymo’s fleet currently numbers more than 3,000.

Unfortunately for Tesla, figuring out how to actually scale its robotaxi fleet remains the ultimate question.

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Anthropic raises $65 billion at a $965 billion valuation, releases a more “honest” Claude Opus 4.8

Anthropic’s monster $965 billion valuation puts it firmly ahead of OpenAI’s $850 billion valuation as the rivals head toward expected IPOs later this year.

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Report: Microsoft tries to get back in the AI coding game with new model

Microsoft wants to fight its way back into the AI coding field by releasing a new model next week at its annual Microsoft Build developer conference, The Information reports.

The company is expected to announce a new family of models as Microsoft AI CEO Mustafa Suleyman seeks to shore up the company’s own AI offerings and gradually wean it off OpenAI’s technology over the remainder of their $13 billion partnership.

Microsoft was initially well positioned to meet software developers with AI-enhanced tools. It owns GitHub, the most popular platform for hosting and sharing code, and GitHub’s Copilot AI-powered coding tool was released months before OpenAI’s ChatGPT debuted in 2022.

But it fumbled one of the biggest first-mover advantages in history as Anthropic’s Claude Code, OpenAI’s Codex, and Cursor rolled out coding tools that developers loved.

Microsoft was initially well positioned to meet software developers with AI-enhanced tools. It owns GitHub, the most popular platform for hosting and sharing code, and GitHub’s Copilot AI-powered coding tool was released months before OpenAI’s ChatGPT debuted in 2022.

But it fumbled one of the biggest first-mover advantages in history as Anthropic’s Claude Code, OpenAI’s Codex, and Cursor rolled out coding tools that developers loved.

Ojai outside

Waymo to launch free robotaxi rides in its new Ojai vans

The new vehicles are less expensive — which is important for the service to really scale.

Rani Molla5/28/26
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Report: Tesla’s Robotaxi trainers don’t think it’s ready for prime time

If you listen to Tesla CEO Elon Musk, you might think rapid expansion of the company’s Robotaxi service is right around the corner. If you listen to the people tasked with reviewing the footage and training its AI, that future is a long way off.

An in-depth report from Reuters that interviewed nine former “data labelers” and a former Tesla self-driving engineer paints a picture of highly massaged safety stats, vehicles failing to execute basic driving functions, and a behind-the-scenes reality where the supposedly “autonomous” tech relies heavily on the exact kind of localized, labor-intensive mapping and training Musk has publicly mocked. The skepticism runs so deep that one former insider told reporters they wouldn’t ride in a Robotaxi “if you f---ing paid me.”

Currently, the service is operating about 30 unsupervised vehicles across three Texas cities — a much more circumscribed execution than Musk had initially planned. The problem, for Tesla, is that the success of its Robotaxi business is now integral to the company’s value proposition.

An in-depth report from Reuters that interviewed nine former “data labelers” and a former Tesla self-driving engineer paints a picture of highly massaged safety stats, vehicles failing to execute basic driving functions, and a behind-the-scenes reality where the supposedly “autonomous” tech relies heavily on the exact kind of localized, labor-intensive mapping and training Musk has publicly mocked. The skepticism runs so deep that one former insider told reporters they wouldn’t ride in a Robotaxi “if you f---ing paid me.”

Currently, the service is operating about 30 unsupervised vehicles across three Texas cities — a much more circumscribed execution than Musk had initially planned. The problem, for Tesla, is that the success of its Robotaxi business is now integral to the company’s value proposition.

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