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GM buys LIDAR company for self-driving car program to take Tesla head-on

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General Motors issued a press release on Monday announcing that it will acquire Strobe, a California-based technology startup that makes affordable chip-scale LIDAR technology for self-driving cars. An 11-person team from Strobe will be joining GM’s Cruise Automation unit as part of the acquisition.

With more affordable and higher accuracy LIDAR sensors coming to market, automakers that are looking to transition to all-electric fleets are assessing the strategic value with investing into self-driving technology. GM’s purchase of Strobe can be seen as just that. Acquiring a small and nimble startup that has a core focus on developing the key sensor used in autonomous vehicles allows the Detroit-based auto giant to speed its path to market with a self-driving car.

Kyle Vogt, GM’s Cruise Automation Founder and CEO, said through a press release, “Strobe’s LIDAR technology will significantly improve the cost and capabilities of our vehicles so that we can more quickly accomplish our mission to deploy driverless vehicles at scale.”

While GM continues to charge forward with implementing LIDAR technology into its self-driving program, the company also complements its technology with radar sensors to create a fault-tolerant sensing suite. Tesla CEO Elon Musk has famously touted LIDAR as ‘unnecessary’ in the context of an autonomous car due to its high cost. Instead, Tesla has opted to use a combination of cameras, radars and ultrasonic sensors to form the foundation for its Autopilot system. But as pricing for LIDAR technology continues to drop, could we see a change of core design in future versions of Autopilot?

Vogt asserts that radar can operate under more challenging weather conditions, however it lacks the precision needed when making critical maneuvers at speed. “Strobe’s LIDAR sensors provide both accurate distance and velocity information, which can be checked against similar information from a RADAR sensor for redundancy. RADARs typically also provide distance and velocity information and operate under more challenging weather conditions, but they lack the angular resolution needed to make certain critical maneuvers at speed. When used together, cameras, LIDARs, and RADARs can complement each other to create a robust and fault-tolerant sensing suite that operates in a wide range of environmental and lighting conditions.” said Vogt in a blog post on Medium.

LIDAR on the other hand uses laser or concentrated light to map a high resolution 3D view of a the world, which arguably provides a higher precision view of a self-driving car’s surroundings. GM’s Director of autonomous vehicle integration has recently spoken up against Musk’s narrative that Tesla Autopilot will be fully autonomous and capable of piloting a car from California to New York on its own by the end of the year.

“The level of technology and knowing what it takes to do the mission, to say you can be a full level five with just cameras and radars is not physically possible,” said Miller about Tesla’s Autopilot suite. “Could you do it with what’s in a current Tesla Model S? I don’t think so.”

As the race to produce a fully autonomous car continues to heat up between Tesla, GM, Uber, and Google, and hardware prices decline, it’s only a matter of time before a tried and true combination of hardware will become the de-facto self-driving hardware suite. What will it be?

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Tesla Optimus shows off its newest capability as progress accelerates

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Credit: Tesla

Tesla Optimus showed off its newest capability as progress on the project continues to accelerate toward an ultimate goal of mass production in the coming years.

Tesla is still developing Optimus and preparing for the first stages of mass production, where units would be sold and shipped to customers. CEO Elon Musk has always marketed the humanoid robot as the biggest product in history, even outside of Tesla, but of all time.

He believes it will eliminate the need to manually perform monotonous tasks, like cleaning, mowing the lawn, and folding laundry.

However, lately, Musk has revealed even bigger plans for Optimus, including the ability to relieve humans of work entirely within the next 20 years.

Development at Tesla’s Artificial Intelligence and Robotics teams has progressed, and a new video was shown of the robot taking a light jog with what appeared to be some pretty natural form:

Optimus has also made several public appearances lately, including one at the Neural Information Processing Systems, or NeurIPS Conference. Some spectators shared videos of Optimus’s charging rig, as well as its movements and capabilities, most interestingly, the hand:

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The hand, forearm, and fingers have been one of the most evident challenges for Tesla in recent times, especially as it continues to work on its 3rd Generation iteration of Optimus.

Musk said during the Q3 Earnings Call:

“I don’t want to downplay the difficulty, but it’s an incredibly difficult thing, especially to create a hand that is as dexterous and capable as the human hand, which is incredible. The human hand is an incredible thing. The more you study the human hand, the more incredible you realize it is, and why you need four fingers and a thumb, why the fingers have certain degrees of freedom, why the various muscles are of different strengths, and fingers are of different lengths. It turns out that those are all there for a reason.”

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The interesting part of the Optimus program so far is the fact that Tesla has made a lot of progress with other portions of the project, like movement, for example, which appears to have come a long way.

However, without a functional hand and fingers, Optimus could be rendered relatively useless, so it is evident that it has to figure this crucial part out first.

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Elon Musk and Tesla try to save legacy automakers from Déjà vu

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tesla interior operating on full self driving
Credit: TESLARATI

Elon Musk said in late November that he’s “tried to warn” legacy automakers and “even offered to license Tesla Full Self-Driving, but they don’t want it,” expressing frustration with companies that refuse to adopt the company’s suite, which will eventually be autonomous.

Tesla has long established itself as the leader in self-driving technology, especially in the United States. Although there are formidable competitors, Tesla’s FSD suite is the most robust and is not limited to certain areas or roadways. It operates anywhere and everywhere.

The company’s current position as the leader in self-driving tech is being ignored by legacy automakers, a parallel to what Tesla’s position was with EV development over a decade ago, which was also ignored by competitors.

The reluctance mirrors how legacy automakers initially dismissed EVs, only to scramble in catch-up mode years later–a pattern that highlights their historical underestimation of disruptive innovations from Tesla.

Elon Musk’s Self-Driving Licensing Attempts

Musk and Tesla have tried to push Full Self-Driving to other car companies, with no true suitors, despite ongoing conversations for years. Tesla’s FSD is aiming to become more robust through comprehensive data collection and a larger fleet, something the company has tried to establish through a subscription program, free trials, and other strategies.

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Tesla CEO Elon Musk sends rivals dire warning about Full Self-Driving

However, competing companies have not wanted to license FSD for a handful of speculative reasons: competitive pride, regulatory concerns, high costs, or preference for in-house development.

Déjà vu All Over Again

Tesla tried to portray the importance of EVs long ago, as in the 2010s, executives from companies like Ford and GM downplayed the importance of sustainable powertrains as niche or unprofitable.

Musk once said in a 2014 interview that rivals woke up to electric powertrains when the Model S started to disrupt things and gained some market share. Things got really serious upon the launch of the Model 3 in 2017, as a mass-market vehicle was what Tesla was missing from its lineup.

This caused legacy companies to truly wake up; they were losing market share to Tesla’s new and exciting tech that offered less maintenance, a fresh take on passenger auto, and other advantages. They were late to the party, and although they have all launched vehicles of their own, they still lag in two major areas: sales and infrastructure, leaning on Tesla for the latter.

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Musk’s past warnings have been plentiful. In 2017, he responded to critics who stated Tesla was chasing subsidies. He responded, “Few people know that we started Tesla when GM forcibly recalled all electric cars from customers in 2003 and then crushed them in a junkyard,” adding that “they would be doing nothing” on EVs without Tesla’s efforts.

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Companies laughed off Tesla’s prowess with EVs, only to realize they had made a grave mistake later on.

It looks to be happening once again.

A Pattern of Underestimation

Both EVs and self-driving tech represent major paradigm shifts that legacy players view as threats to their established business models; it’s hard to change. However, these early push-aways from new tech only result in reactive strategies later on, usually resulting in what pains they are facing now.

Ford is scaling back its EV efforts, and GM’s projects are hurting. Although they both have in-house self-driving projects, they are falling well behind the progress of Tesla and even other competitors.

It is getting to a point where short-term risk will become a long-term setback, and they may have to rely on a company to pull them out of a tough situation later on, just as it did with Tesla and EV charging infrastructure.

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Tesla has continued to innovate, while legacy automakers have lagged behind, and it has cost them dearly.

Implications and Future Outlook

Moving forward, Tesla’s progress will continue to accelerate, while a dismissive attitude by other companies will continue to penalize them, especially as time goes on. Falling further behind in self-driving could eventually lead to market share erosion, as autonomy could be a crucial part of vehicle marketing within the next few years.

Eventually, companies could be forced into joint partnerships as economic pressures mount. Some companies did this with EVs, but it has not resulted in very much.

Self-driving efforts are not only a strength for companies themselves, but they also contribute to other things, like affordability and safety.

Tesla has exhibited data that specifically shows its self-driving tech is safer than human drivers, most recently by a considerable margin. This would help with eliminating accidents and making roads safer.

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Tesla’s new Safety Report shows Autopilot is nine times safer than humans

Additionally, competition in the market is a good thing, as it drives costs down and helps innovation continue on an upward trend.

Conclusion

The parallels are unmistakable: a decade ago, legacy automakers laughed off electric vehicles as toys for tree-huggers, crushed their own EV programs, and bet everything on the internal-combustion status quo–only to watch Tesla redefine the industry while they scrambled for billions in catch-up capital.

Today, the same companies are turning down repeated offers to license Tesla’s Full Self-Driving technology, insisting they can build better autonomy in-house, even as their own programs stumble through recalls, layoffs, and missed milestones. History is not merely rhyming; it is repeating almost note-for-note.

Elon Musk has spent twenty years warning that the auto industry’s bureaucratic inertia and short-term thinking will leave it stranded on the wrong side of technological revolutions. The question is no longer whether Tesla is ahead–it is whether the giants of Detroit, Stuttgart, and Toyota will finally listen before the next wave leaves them watching another leader pull away in the rear-view mirror.

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This time, the stakes are not just market share; they are the very definition of what a car will be in the decades ahead.

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Waymo driverless taxi drives directly into active LAPD standoff

No injuries occurred, and the passengers inside the vehicle were safely transported to their destination, as per a Waymo representative.

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Credit: Alex Choi/Instagram

A video posted on social media has shown an occupied Waymo driverless taxi driving directly into the middle of an active LAPD standoff in downtown Los Angeles. 

As could be seen in the short video, which was initially posted on Instagram by user Alex Choi, a Waymo driverless taxi drove directly into the middle of an active LAPD standoff in downtown Los Angeles. 

The driverless taxi made an unprotected left turn despite what appeared to be a red light, briefly entering a police perimeter. At the time, officers seemed to be giving commands to a prone suspect on the ground, who looked quite surprised at the sudden presence of the driverless vehicle. 

People on the sidewalk, including the person who was filming the video, could be heard chuckling at the Waymo’s strange behavior. 

The Waymo reportedly cleared the area within seconds. No injuries occurred, and the passengers inside the vehicle were safely transported to their destination, as per a Waymo representative. Still, the video spread across social media, with numerous netizens poking fun at the gaffe. 

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Others also pointed out that such a gaffe would have resulted in widespread controversy had the vehicle involved been a Tesla on FSD. Tesla is constantly under scrutiny, with TSLA shorts and similar groups actively trying to put down the company’s FSD program.

A Tesla on FSD or Robotaxi accidentally driving into an active police standoff would likely cause lawsuits, nonstop media coverage, and calls for a worldwide ban, at the least.

This was one of the reasons why even minor traffic infractions committed by the company’s Robotaxis during their initial rollout in Austin received nationwide media attention. This particular Waymo incident, however, will likely not receive as much coverage.  

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