The robot swerved through the cafeteria of Rivian’s Palo Alto office, shelves adorned with chilled canned coffees — until it didn’t. Five minutes later, a man carefully pushed it out of everyone’s way, the words “I’m stuck” flashing yellow on the poor droid’s screen.
It was an inauspicious start to Rivian’s “Autonomy & AI Day,” a showcase for the company’s plans to make its vehicles capable of driving themselves. Rivian doesn’t make the cafeteria robot and isn’t responsible for its abilities, but there was a familiar message in its foibles: this stuff is hard.
Hours later, as I rode in a 2025 R1S SUV during my 15-minute demo of Rivian’s new self-described “Large Driving Model,” I was reminded of that message.
The EV equipped with the automated-driving software drove myself and two Rivian employees on a switchback route near the company’s campus. As we glided past Tesla’s engineering office, I noticed a Model S in front of us slow to turn into the rival company’s lot. The R1S eventually noticed this, too, braking hard just before the Rivian employee nearly intervened.
During my demo drive, there was one actual disengagement. The employee in the driver’s seat took over as we passed through a one-lane section of road due to some tree-trimming. Minor stuff overall. But it wasn’t not exactly rare either; I spotted multiple other demo rides that had disengagements too.
The rest of the drive went well enough for software that is not ready to be shipped, especially when you consider that Rivian threw out its old rules-based driver assistance system and adopted an end-to-end approach — which is how Tesla developed Full Self-Driving (Supervised). It stopped at stoplights, it handled turns, it slowed for speed bumps, all without programmed rules telling it to do these things.
A quiet pivot in 2021
Rivian’s old system “was all very deterministic, and it was all very structured,” CEO RJ Scaringe said in an interview Thursday. “Everything that the vehicle did was the result of a prescribed control strategy written by humans.”
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Scaringe said that when Rivian saw transformer-based artificial intelligence taking off in 2021, he quietly “reconstituted the team and started with a clean sheet and said, let’s design our self-driving platform for an AI-centric world.”
After spending “a lot of time in the basement,” Rivian launched the new ground-up driving software in 2024 on its second-generation R1 vehicles, which use Nvidia’s Orin processors.
Scaringe said it was only recently that his company started to see dramatic progress “once the data started really pouring in.”
Rivian is betting it can train its Large Driving Model (LDM) on fleet data so quickly that it will allow the company to roll out what it calls “Universal Hands-Free” driving in early 2026. That means Rivian owners will be able to take their hands off the wheel on 3.5 million miles of roads in the U.S. and Canada (so long as there are visible painted lines). In the back half of 2026 Rivian will allow “point-to-point” driving, or the consumer version of the demo we received Thursday.
The ‘eyes off’ to ‘hands off’ challenge
By the end of 2026, after Rivian has started shipping its smaller, more affordable R2 SUVs, it will ditch the Nvidia chips and outfit those vehicles with a new custom autonomy computer unveiled Thursday. That computer, plus a lidar sensor, will eventually allow drivers to take their hands and eyes off the road. True autonomy — where a driver doesn’t have to worry about re-taking control of the vehicle — lies well beyond that and will largely depend on how fast Rivian can train its LDM.
This rollout introduces a near-term challenge for Rivian. The new autonomy computer and lidar won’t be ready until months after the R2 goes on sale. If customers want a vehicle that can handle eyes-off driving (or more), they’ll have to wait. But the R2 is a crucial product for Rivian, and the company needs it to sell well — especially in the wake of declining sales of its first-generation vehicles.
“When tech is moving as fast as it is, there’s always going to be some level of obsolescence, and so what we want to do here is to be really direct” about what’s coming, Scaringe said. The early R2s will still get Rivian’s promised “point-to-point” driving, which will be based on the new software and will be hands-off but not eyes-off.
“So [if] you’re buying an R2 and you buy it in the first nine months, it’s just going to be more constrained,” he said. “I think what will happen is some customers will say ‘that matters a lot to me, and I’m going to wait.’ And some will say ‘I want the newest, best things now, and I’m going to get the R2 now, and maybe I’ll trade it in a year or two, and I’ll get the next version later. Fortunately, there’s so much demand backlog for R2 that we think, by being upfront with this, customers can make the decision themselves.”
“In a perfect world, everything times at the same time, but the timeline of the vehicle and the timeline of the autonomy platform are just not perfectly aligned,” he said.
When I first interviewed Scaringe in 2018, before Rivian even showed what its vehicles looked like, he shared a goal that still rattles around my head. He wanted to make Rivian’s vehicles so capable of driving themselves that: “if you go for a hike, and you start at one point and you finish at another point, you have the vehicle meet you at the end of the trail.”
It was the kind of pie-in-the-sky promise about self-driving cars that was all the rage seven years ago, but it stuck with me at least because it was something that felt true to Rivian’s whole brand of aspirational adventure.
Scaringe told me Thursday he still thinks it’s possible for Rivian to enable a use case like that in the next few years. It certainly won’t happen until the company tests and builds its more-capable R2 vehicles, which is at least a year away in a best-case scenario.
“We could [do that]. It’s not been a huge focus,” he said. That could change as the company gets closer to level 4 autonomy, though, since by then the company will have its LDM trained on trickier roads without guiding features like lane lines.
“Then, it becomes a bit of a like, what’s the ODD [operational design domain]? Dirt roads, off road? Easy,” he said. Just don’t expect a Rivian driving itself up Hell’s Gate in Moab.
“We’re not putting any resources into rock crawling autonomously,” he said. “But in terms of getting to the trail head? For sure.”
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![This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK](https://techcrunch.com/wp-content/uploads/2026/08/DM9A2852.jpg?w=680)

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