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Former OpenAI employees show support for Musk lawsuit

The employees claim that the removal of non-profit status would “fundamentally violate” OpenAI’s mission.

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Credit: OpenAI | YouTube

After Elon Musk filed a lawsuit last year against the Sam Altman-run AI firm OpenAI, a group of former employees of the company this week has filed a legal brief supporting the xAI and Tesla leader’s case.

On Friday, a group of 12 former OpenAI employees said in a court filing that the company’s restructuring efforts would “fundamentally violate” the original non-profit mission, as detailed in a report from Reuters. The employees said they were in technical and leadership positions at the company, along with explaining that they believed the not-for-profit model was important for a variety of reasons.

During their time there, oversight of the non-profit was considered a key part of the company’s discussions, according to the group. Although this approach was regularly emphasized during their time at the company, recent pressures from investors to restructure the company into a for-profit could impede on crucial elements of the company’s mission.

The former employees argued that the non-profit structure helped in recruiting efforts, as many of the company’s staffers simply joined because they believed in the original mission. OpenAI, however, responded by claiming that the original mission wouldn’t change even if the structure does.

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“Our Board has been very clear: our nonprofit isn’t going anywhere and our mission will remain the same,” the company said in a statement.

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READ MORE ON ELON MUSK AND OPENAI: Elon Musk’s criticism about ChatGPT’s ‘woke’ nature gets response from OpenAI co-founder

Musk, who helped start OpenAI but left in 2018, has been highly critical of Altman and OpenAI’s efforts to become a for-profit in recent years. He officially filed a lawsuit against the ChatGPT maker last February, before dropping it in June and reviving it in August.

In the suit, Musk alleged that he had been “betrayed by Altman and his accomplices” after investing around $45 million dollars into the company, while OpenAI and investor Microsoft “established an opaque web of for-profit OpenAI affiliates, engaged in rampant self-dealing.”

In November, Musk’s legal team filed a motion for an injunction with U.S. District Judge Yvonne Gonzalez Rogers, who is presiding over the case, claiming that “irreparable harm” would occur if it wasn’t granted. The judge last month denied the injunction request, saying that Musk’s recent offer to buy OpenAI for $97.4 billion undermined his claims of harm.

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“Musk has not demonstrated likelihood of success on the merits,” Rogers said in response to the request for an injunction, adding that the original $45 million “is just a lot of money [to invest] on a handshake.”

Despite denying the request, the judge did say that the case could proceed in a California courtroom as soon as this fall, “given the public interest at stake and potential for harm if a conversion contrary to law occurred.”

Musk says xAI has acquired X in $33 billion stock deal

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Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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Elon Musk

Elon Musk sheds details on Tesla FSD’s upcoming improvements

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Credit: Tesla

Elon Musk shed more details on the upcoming improvements to Tesla’s Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions.

Last week, Musk hinted that one major improvement that Tesla planned to roll out to Full Self-Driving users was the car’s ability “to remember your specific interventions and match each person’s individual preferences.”

Elon Musk says your Tesla will start to learn your individual preferences

This small bit of detail was linked to a post from Tesla community member Whole Mars, who said that FSD’s tendency to exit the carpool lane, a feature that owners can turn on but at times the car will disregard.

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It sounds like, based on Musk’s two responses since that original post, it is safe to say the things FSD will start to remember are wide-ranging. However, it seems the biggest differences will be noticed with parking performance, which Musk continues to mention.

Highway Lane Preferences

The initial post Musk mentioned, with these new remembered preferences soon to arrive for Tesla owners everywhere, was the Carpool/Express Lane.

Tesla has a setting in the FSD menu that lets drivers enable HOV Lane travel. However, the car won’t always stay in that suggested or preferred lane.

Some owners have also complained of left lane camping, an illegal maneuver in at least some states. Cruising in the passing lane has resulted in tickets for some, as it is illegal in over 30 states in the U.S.

Tesla did not confirm if these preferences would also be included in new FSD behaviors, but it would certainly help move the company toward fewer interventions.

Parking Preferences

This seems to be the real focus of the entire operation, as Musk stated several weeks ago that parking was overwhelmingly the most frequent reason for interventions.

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The major issue with parking is not necessarily the parking “performance,” as FSD is generally good at parking. It definitely has its issues; we’ve recorded plenty of them, including this one as recent as last week:

However, the changes coming are more about preferences, meaning where you park and how your car enters the spot, either pulling in or backing in. Owners have also reported that pulling into the correct driveway is a relatively rare thing for FSD, something else that needs to be confronted.

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Musk basically confirmed that all of these things would be part of Tesla’s plan to address driver preferences with FSD:

It’s obvious there is something big coming with FSD, and the company’s focus seems to be eliminating any intervention that would be related to preferences. This is probably the biggest bottleneck between Tesla and being fully autonomous. Critical interventions do occur, but they are much less frequent.

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The only time a driver should be taking over is because of a critical intervention; this seems to be the goal of Tesla right now.

This all seems to be a priority as Tesla continues to move closer to the prospect of unsupervised driving.

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Elon Musk

Tesla Diner is throwing a birthday party with a Franz-signed special treat

Tesla Diner turns one on July 21 with Optimus, roller skates, and a Franz-signed hat.

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Tesla is throwing its Hollywood Diner a first birthday party on July 21 and the celebration comes with a guest list of unique items, including a limited run of Tesla Diner birthday hats personally signed by Tesla Chief Designer Franz von Holzhausen for the first 50 customers who place an in-car order at midnight.

One year after lines wrapped around the block on Santa Monica Boulevard for a diner that most of the restaurant industry did not take seriously, Tesla is making the case that the concept was worth the years it took to build. The concept had been in Musk’s head since at least 2018, when he floated the idea of “an old school drive-in, roller skates and rock restaurant” on X, describing it years later as “‘Grease’ meets ‘The Jetsons’ with Supercharging.”

Tesla Optimus Gen 3 is coming to the Tesla Diner with new ambitions

 

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What made the diner genuinely different from any restaurant that came before it was not the menu or the nostalgia. It was the ordering model. Tesla owners could place food orders directly from their vehicle’s touchscreen before arriving, a small feature that hints at something much larger on the horizon. As the Cybercab and unsupervised FSD expand across major cities, the diner model becomes a template for an entirely new kind of commerce. A robotaxi pulling in to charge does not need a human to walk up to a counter. The vehicle places the order, the food is ready on arrival, and the passenger never interrupts the experience of being driven somewhere else. It is the first glimpse of what drive-through commerce looks like when the car is doing the driving.

As Teslarati has reported, Musk signaled immediately after opening that the Hollywood location was only the beginning, posting that Tesla would expand the concept to major cities worldwide and along Supercharger corridors on long-distance routes if the first location proved successful. One year in, the birthday celebration on July 21 makes a strong case that it has. Tesla announced a full day of events including a Cybercab on display, a birthday menu, Optimus in attendance, face painting, a photo booth, roller skating servers, a light show, a Skypad DJ, and complimentary collectibles.

If Musk’s ambition holds, the Hollywood diner is year one of something much bigger. The birthday party is the proof of concept. The robotaxi fleet is the business model waiting behind it.

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Elon Musk says your Tesla will start to learn your individual preferences

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Credit: Tesla

Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.

Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”

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This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.

Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.

These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.

READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:

Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance

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If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.

For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.

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That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.

This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.

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