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The logo of Tesla seen at one of its showroom. Tesla announced its Q1 2021 earnings today.
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Tesla delivered 241,300 electric vehicles during the third quarter of 2021, the company reported Saturday.

The quarter’s deliveries topped expectations. Analysts predicted that Tesla would deliver around 220,900 electric cars during this period, according to estimates compiled by StreetAccount as of September 30.

The company produced 237,823 cars in the period ending September 30, 2021, Tesla said in its report. Of that, 228,882 were its Model 3 and Y vehicles, its more affordable mid-range offerings.

The remainder produced amounted to 8,941 of its Model S and X vehicles.

Last quarter, Tesla delivered 201,250 vehicles and produced 206,421 cars, even as production of its Model S and X vehicles fell below 2,500.

“Our delivery count should be viewed as slightly conservative, as we only count a car as delivered if it is transferred to the customer and all paperwork is correct. Final numbers could vary by up to 0.5% or more,” the company said in a statement.

Tesla does not break out delivery numbers by model, nor does it report sales or production numbers from China versus the U.S. (Deliveries are the company’s closest approximation of vehicle sales.)

The press release announcing the production and deliveries report was dated Austin, Texas. Tesla’s web site still lists its headquarters as being in Palo Alto, Calif., but Elon Musk moved to Texas last year and the company is building a new factory in the Austin area.

Tesla is also planning to host its annual shareholder meeting at its plant, now under construction, near Austin on October 7. Musk previously threatened to move Tesla’s headquarters out of California in the spring of 2020 when the state’s Covid-related health orders required Tesla’s Fremont factory to temporarily suspend operations for a few weeks.

At the time, California Gov. Gavin Newsom told CNBC he was “not worried about Elon leaving any time soon,” and voiced support for Tesla.

Elon Musk‘s electric vehicle maker now produces cars at its Shanghai plant, and U.S. factory in Fremont, California, while continuing to produce batteries domestically with Panasonic at their sprawling facility outside of Reno, Nevada.

During the period ending September 30, 2021, Tesla began to ship some lithium iron phosphate batteries from China to be used in Model 3 vehicles made for customers in the U.S.

Tesla also temporarily suspended some operations at its vehicle assembly plant in Shanghai, where it makes cars for customers in China and Europe. The halts were attributed to a global semiconductor shortage, which has posed a challenge to Tesla all year, and plagued the entire auto industry.

New battery electric models, notably Rivian’s R1T and Lucid Motors’ long-delayed luxury Lucid Air sedan, are now in production and selling to customers in the U.S., an indication that competition is heating up in key markets for Tesla.

At the same time, interest in electric vehicles is rising too, even in the U.S. a laggard in adoption compared to China and Europe.

According to a June 2021 survey from Pew Research, 39% of Americans say that “the next time they purchase a vehicle, they are at least somewhat likely to seriously consider electric.” About 7% of Americans said they have already purchased a pure battery electric or hybrid-electric vehicle.

That demand is only encouraged by rising fuel costs and environmental regulations.

For example, in China, government programs make it far quicker and cheaper to get license plates for electric vehicles than internal combustion engine vehicles. The Chinese government has also offered subsidies, tax breaks and invested in charging infrastructure to encourage EV production and adoption.

Meanwhile, President Joe Biden set a voluntary target for half of all new vehicle sales in the US to be electric models by 2030– including battery electrics, plug-in hybrids, and hydrogen fuel cell vehicles. The move is part of the Biden administration’s pledge to reduce U.S. emissions by in half by 2030.

Piper Sandler senior research analyst Alexander Potter, a bull with a $1,200 price target for shares of Tesla, wrote in a note on September 27:

“Tesla’s share of the battery electric vehicle (BEV) market will almost certainly fall – because many peers haven’t started selling BEVs yet. But we fully expect Tesla’s share of the overall market to continue rising, and we stress that declining BEV market share should not be considered a bearish signal… After all, Tesla is competing against vehicles of all types – not just against other electric vehicles.”

Auto Forecast Solutions Vice President Sam Fiorani agreed. He said, “Tesla has such a head start on the competition in the EV market that it is unlikely for anyone to pass them anytime soon. The Cult of Tesla will keep buyers attached to the brand for years to come. Even Audi and Mercedes are finding it difficult to tap into the same type of aura. While their market share will decrease, Tesla will keep the leadership position for years to come without a major misstep from within the company.”

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Figma CEO says it is ‘eating cost’ of AI upgrade for customers in 2024

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Figma CEO says it is 'eating cost' of AI upgrade for customers in 2024

Figma CEO on failed Adobe deal, startup landscape, big redesign with AI

As design firm Figma rolls out its first major AI upgrade for its platform, CEO and co-founder Dylan Field is taking no chances with customers amid steep AI adoption and demand curves and consumer hype. Figma is paying the cost of the AI upgrade for now instead of attempting to charge customers.

“We’re gonna eat the cost for 2024, because we don’t know how people are going to use the features yet. We don’t know how many of you will care, we don’t know how good they get,” Field said in an interview with CNBC’s Deirdre Bosa on Thursday speaking from the company’s Config conference. “Watch what the usage is in the beta, see what the costs are, and then you can go from there in terms of figuring out where pricing should be.” 

Figma’s UI3 redesign, released in limited beta on June 26 with a waitlist for additional users, includes a new toolbox called “Figma AI.”

Roughly six months after antitrust scrutiny forced Adobe to call off its acquisition of Figma, the redesign that widely integrates AI functionality is another competitive wedge in a battle with Adobe and the other highly valued design startup, Canva, which has been moving more into the enterprise market, with a valuation around $25 million.

Canva ranked No. 6 on this year’s CNBC Disruptor 50 list, while Figma ranked No. 26.

The fast growth of Figma’s all-in-one product design functions accessed over a browser has become competitive with Adobe’s lineup. This core innovation by Figma, akin to how Google Docs are shared and revised, takes the place of designers working in silos on desktop apps while struggling to keep track of various file versions. Canva, known for its easy-to-use software tools, continues to scale up, going after business accounts, integrating AI, and competing more aggressively with Adobe.

In a blog post this week, Figma stressed a focus on technology that meets user needs what users need, rather than tossing out trendy ideas, including AI implementations, like chat box functions. “There’s a risk of these features feeling tacked on and distracting from what matters,” a group of top executives at the company wrote.

“What we care about is making sure we’re not just sprinkling AI fairy dust on top but rather really baking AI functionality into the product in order to make a designer’s life better,” Field told CNBC. 

More coverage of the 2024 CNBC Disruptor 50

“It definitely feels like a race to me,” Field said, referencing the AI model industry, whose customers include web companies rapidly adopting AI features. Adoption of the most consumer-desired AI features to beat out similar companies for market share may also be a race, he said. Figma is feeling the AI heat.

“It’s all about, as an individual company, how do we build for our audience, which is people making products,” Field said. 

In June, Adobe shares surged the most since the Covid bull market of 2020 after better-than-expected financial results and the integration of AI into its product, Firefly, and its Enterprise business platform.

“The only thing constant is change,” Field told CNBC. As the large language models from Amazon and Microsoft-backed OpenAI, among others including Meta, get faster, “prices are decreasing,” he added.  

Figma’s UI3 incorporates various generative AI features to streamline and standardize creative processes from page and app ideation through execution. Typing in directives for a page can generate aesthetics and prompt design ideas. It also streamlined design for Figjam, its original AI-powered workspace that generates agendas and allows for web design teamwork. A new product called “Figma Slides” is a potential competitor to Google Slides and Canva. Figma’s design tools are embedded in enterprise offerings from companies including Google and Oracle.  

The AI competition is another step on the path to a potential IPO for Figma after the thwarted Adobe deal. In May, Figma announced a tender offer to allow current and former employees to sell shares at a $12.5 billion valuation, with the valuation up 25% from a 2021 fundraising but well below Adobe’s $20 billion acquisition offer. Canva also recently completed a transaction to allow early employees and investors to cash out at a $26 billion valuation — well below its peak private value of $40 billion. Like Figma, it’s also a highly anticipated IPO candidate.

“Either it’s M&A or IPO and we tried one of those, so you can probably guess as to the one that will be in our future,” Field said. 

Sign up for our weekly, original newsletter that goes beyond the annual Disruptor 50 list, offering a closer look at list-making companies and their innovative founders.

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AI pioneer Illia Polosukhin, one of Google’s ‘Transformer 8,’ wants to democratize artificial intelligence

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AI pioneer Illia Polosukhin, one of Google's 'Transformer 8,' wants to democratize artificial intelligence

Before Illia Polosukhin left Google in 2017, he had a brainstorming lunch and then returned to his desk to build what may have been the very first transformer, the neural network architecture that makes generative artificial intelligence possible.

Now, Polosukhin is considered one of the founding fathers of modern AI.

Polosukhin co-wrote the now famous 2017 paper, “Attention Is All You Need” along with seven Google colleagues, who have collectively become known as the “Transformer 8.” Seven of them appeared on stage together for the first time at Nvidia‘s annual developer conference in March, where CEO Jensen Huang said, “Everything that we’re enjoying today can be traced back to that moment.”

Seven of the “Transformer 8” joined Nvidia CEO Jensen Huang at GTC, Nvidia’s annual developer conference in San Jose on March 20, 2024. From left to right: Lukasz Kaiser, Noam Shazeer, Aidan Gomez, Jensen Huang, Llion Jones, Jakob Uszkoreit, Ashish Vaswani and Illia Polosukhin.

Nvidia

Polosukhin said Google started utilizing transformers in 2018 in Google Translate, which made for a “massive improvement.” But a broadly popular use of the technology didn’t come until OpenAI launched ChatGPT in November 2022.

“OpenAI had very little to lose by opening this up,” Polosukhin told CNBC. “If, for example, any other company, especially public company, opened it up and the first question you ask there, it was like an inappropriate answer, that would be in the news.”

By the time the formative paper was published at the end of 2017, Polosukhin had exited Google to start his own AI company, Near, with fellow software engineer Alexander Skidanov. All eight of the authors have now left Google, although Polosukhin was the first to depart.

“Google research is an amazing environment,” Polosukhin said. “It’s great for learning and kind of this research. But if you want to move really fast and, importantly, put something in front of a user then Google is a big company with a lot of processes and, very rightfully so, security protocols, etc., that are required.”

Ultimately, he said, “for Google it doesn’t make sense to launch something that’s not a $1 billion idea.”

While at Google, Polosukhin was a proponent of open source.

“At the time, opening it up and making it available to everyone to build on top of it was the right decision,” he said.

With Near, Polosukhin is focused on what he calls user-owned AI, “that optimizes for the privacy and sovereignty of users.”

Watch the video to hear the full conversation between CNBC’s Katie tarasov and and Illia Polosukhin.

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OpenAI and Time strike multiyear deal to improve ChatGPT with journalistic content

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OpenAI and Time strike multiyear deal to improve ChatGPT with journalistic content

Budrul Chukrut | Lightrocket | Getty Images

OpenAI and Time magazine on Thursday announced a “multi-year content deal” that will allow OpenAI to access current and archived articles from more than 100 years of Time’s history.

The Microsoft-backed startup will be able to display Time’s content within its ChatGPT chatbot in response to user questions, according to a press release, and to use Time’s content “to enhance its products,” or, likely, to train its artificial intelligence models.

OpenAI’s use of Time’s content will feature a citation and link back to the original source, the release said.

As part of the deal, Time will have access to OpenAI’s technology in order to “develop new products for its audiences,” the release said.

The news follows a similar partnership announced by OpenAI and News Corp. in May, which allows OpenAI to access current and archived articles from News Corp.’s outlets, including The Wall Street Journal, MarketWatch, Barron’s, The New York Post and more. Reddit also announced in May that it will partner with OpenAI, allowing the company to train its AI models on Reddit content.

The partnerships follow an increasing number of lawsuits against AI companies over alleged copyright infringement.

In December, The New York Times filed a lawsuit against Microsoft and OpenAI, alleging intellectual property violations related to its journalistic content appearing in ChatGPT training data. The Times seeks to hold Microsoft and OpenAI accountable for “billions of dollars in statutory and actual damages” related to the “unlawful copying and use of the Times’s uniquely valuable works,” according to a filing in the U.S. District Court for the Southern District of New York. OpenAI disagreed with the Times’ characterization of events.

In 2023, a group of prominent U.S. authors, including Jonathan Franzen, John Grisham, George R.R. Martin and Jodi Picoult, sued OpenAI alleging copyright infringement in using their work to train ChatGPT. In July, two authors filed a similar lawsuit against OpenAI, alleging that their books were used to train the company’s chatbot without their consent.

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