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Uber Self Driving Car in San Francisco
An Uber self-driving Volvo XC90 SUV, as part of Uber's testing program in San Francisco (Getty Images)
ELECTRIC DREAMS

Uber’s focus on robotaxis might also accelerate its stalling electrification efforts

The ride-hailing app’s new deal with Lucid marks a major push toward autonomous vehicles — after falling behind on its zero-emission goals.

Millie Giles

Last Thursday, Uber announced a major deal with electric vehicle maker Lucid to create a fleet of robotaxis in the US — sending Lucid stock soaring, closing up more than 36% on the day.

The deal signals just how seriously Uber is planning for autonomous rides. The ride-hailing app is set to take a $300 million stake in Lucid and will aim to deploy at least 20,000 custom vehicles from the company, equipped with a self-driving system developed by autonomous technology startup Nuro, over the next six years.

Indeed, Uber has pledged to make “multi-hundred-million dollar investments” in both companies to pull off its latest goal of launching its own robotaxi service in a major US city next year. Meanwhile, one of its previous promises — to become a totally zero-emission platform globally by 2040 — is falling to keep pace.

Taking charge

In May, Uber outlined that 230,000 of its drivers worldwide were using zero-emission vehicles (ZEVs) at the end of Q1, a 60% increase from a year prior. But, as noted by Rest of World, that electrification effort has diminished significantly — particularly in the US, where its ZEV uptake has plateaued.

Uber ZEV uptake
Sherwood News

While Europe’s pro-EV policies, such as tax breaks and congestion charge exemptions for drivers, have seen the share of Uber’s on-trip miles completed in ZEVs rise to ~15% in the region, the US and Canada have only seen their ZEV share nudge up slightly in the past year to just 9.1% of miles.

Ironically, though, Uber’s sudden interest in robotaxis might actually help it meet one of its more overlooked goals, both in the US and globally. Just two days before news broke of the Lucid-Nuro deal, Uber also announced that it’s teaming up with Baidu, which runs one of China’s largest robotaxi EV fleets

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OpenAI rolls out age prediction system ahead of allowing adult content

OpenAI is rolling out a new “age prediction” feature for ChatGPT users.

The company will look at various signals from users to predict if a user is underage.

In a blog post, the company said:

“The model looks at a combination of behavioral and account-level signals, including how long an account has existed, typical times of day when someone is active, usage patterns over time, and a user’s stated age.”

If the system suspects the user is a minor, it will reduce content with graphic violence, harmful viral challenges, sexual or romantic role play, depictions of self-harm, and material promoting “extreme beauty standards, unhealthy dieting, or body shaming.”

If a user is incorrectly flagged as under 18, they will have to submit a selfie to an identity verification service to have the restrictions removed.

An age verification system is part of OpenAI’s plan to reduce harmful mental health encounters with the chatbot, while also allowing ChatGPT to generate “erotica” in the near future.

“The model looks at a combination of behavioral and account-level signals, including how long an account has existed, typical times of day when someone is active, usage patterns over time, and a user’s stated age.”

If the system suspects the user is a minor, it will reduce content with graphic violence, harmful viral challenges, sexual or romantic role play, depictions of self-harm, and material promoting “extreme beauty standards, unhealthy dieting, or body shaming.”

If a user is incorrectly flagged as under 18, they will have to submit a selfie to an identity verification service to have the restrictions removed.

An age verification system is part of OpenAI’s plan to reduce harmful mental health encounters with the chatbot, while also allowing ChatGPT to generate “erotica” in the near future.

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Google’s YouTube maintains its top spot as streaming accounts for nearly half of all TV-watching time

People spent a record 47.5% of their TV-watching time on streaming platforms in December, according to new data from Nielsen, up from the previous record of 47.3% in July. Google’s YouTube once again was the most popular streaming service by time spent, but Netflix’s share inched slightly upward to 9% from 8.8% in July, while YouTube’s fell to 12.7% from 13.4%. The jump was largely thanks to Stranger Things, which was the most watched streaming title last month.

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Amazon CEO says tariffs are inflating prices and buyers are looking for bargains

While the legality of President Trump’s tariffs winds its way through the courts, their effects are beginning to show up in prices.

During an interview at the World Economic Forum in Davos, Switzerland, Amazon CEO Andy Jassy said he is starting to see tariffs “creep into” pricing, as some sellers are “passing on those higher costs to consumers in the form of higher prices.”

Jassy said that while consumers are still spending, they are becoming more price conscious.

“I think that wherever they can, they are trying to trade down in price — they are looking for bargains wherever they can find bargains,” he said. “I see people a little more hesitant on higher-priced discretionary items.”

Trump has maintained that other countries are footing the bill for his tariffs. But new research suggests Americans will ultimately be the ones paying those higher prices.

Jassy said that while consumers are still spending, they are becoming more price conscious.

“I think that wherever they can, they are trying to trade down in price — they are looking for bargains wherever they can find bargains,” he said. “I see people a little more hesitant on higher-priced discretionary items.”

Trump has maintained that other countries are footing the bill for his tariffs. But new research suggests Americans will ultimately be the ones paying those higher prices.

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Musk: Tesla restarting Dojo supercomputer effort as “AI5 chip design is in good shape”

Tesla CEO Elon Musk said in a post on X over the weekend that the company plans to restart work on its Dojo supercomputer, dubbed Dojo3, saying that the AI5 chip the company had been developing is in “good shape.”

The Dojo supercomputer trains Tesla’s AI models, including the one behind its all-important Full Self-Driving tech. The company stopped work on Dojo in August. “It doesn’t make sense for Tesla to divide its resources and scale two quite different AI chip designs,” Musk said at the time. “The Tesla AI5, AI6 and subsequent chips will be excellent for inference and at least pretty good for training.”

“Pretty good” appears to be good enough.

In the interim, Tesla relied more on companies like Nvidia and Advanced Micro Devices for AI training. Restarting Dojo suggests Tesla plans to bring at least some AI training back in-house.

Musk also runs AI company xAI, which has its own supercomputer and a substantial business relationship with Tesla. A plurality of Tesla shareholders recently voted in favor of investing in Musk’s AI company, but the board declined to approve the measure because of a large number of abstentions.

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