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Elon Musk left OpenAI due to conflict of interest with Tesla

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OpenAI, the nonprofit research firm co-founded by Elon Musk, announced that the serial tech entrepreneur is stepping down from the organization’s board of directors. According to an official announcement by the nonprofit, Elon’s departure is partly due to Tesla’s AI projects, which could result in a potential conflict of interest for the CEO. 

Musk’s departure from OpenAI’s board does not mean that he is relinquishing ties with the nonprofit, however. In a blog post about its new supporters, the research firm asserted that the Tesla CEO will be staying on as a benefactor and advisor for the organization.

“Elon Musk will depart the OpenAI Board but will continue to donate and advise the organization. As Tesla continues to become more focused on AI, this will eliminate a potential future conflict for Elon.”

As Tesla continues to evolve its Autopilot suite of features and aims to complete its first coast-to-coast fully autonomous drive this year, the Silicon Valley electric carmaker is said to be working on its own AI-based chips that will power the company’s future fleet of driverless cars. Musk revealed his efforts to produce a custom AI chip during a machine learning conference held last year, telling event attendees that Tesla is developing specialized AI hardware that will be the “best in the world.” According to The Register,  Musk told event attendees, “I wanted to make it clear that Tesla is serious about AI, both on the software and hardware fronts. We are developing custom AI hardware chips”.

Stepping down from OpenAI’s board seems to be a logical step for Musk as his focus on developing advanced artificial intelligence systems can be misconstrued by a non-profit that aims to be the watchdog for friendly AI development. Prior to the announcement of Elon Musk’s departure from OpenAI’s board, the nonprofit published a paper discussing the possible dangers of AI-based attacks. According to OpenAI’s study, it is now time for policymakers and individuals to be aware of ways that AI-based systems can be used maliciously, especially considering the ever-evolving artificial intelligence landscape.

To conduct the study, OpenAI collaborated with a number of researchers from other organizations, including the Future of Humanity Institute, the Centre for the Study of Existential Risk, the Center for a New American Security, and the Electronic Frontier Foundation.

Discussing the findings of their research, the authors of the study wrote that while investigations on the benefits of AI are widespread, studies on the dangers of advanced, intelligent machines are relatively few. As the field of artificial intelligence begins to expand and evolve, OpenAI’s researchers believe that threats associated with the technology would also start to grow and develop.

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As noted in the study, artificial intelligence can expand existing threats, since the scalable use of AI technology can be utilized to lower the cost of attacks. With AI, even real-world attacks requiring human labor can be accomplished by machines that could think within and beyond their programming.

OpenAI’s new paper also discussed the emergence of new threats, which could rise through the use of systems that engage in tasks that are impractical for humans. The researchers also advised that the time might soon come when the AI-focused attacks can be finely targeted and challenging to attribute. With these in mind, the OpenAI researchers, together with co-authors of the study, recommended a series of contingencies that policymakers, as well as those involved in the research field, can implement to prevent and address scenarios when intelligent systems can be used maliciously.

RELATED: China is building a massive campus for AI development

According to the recently published OpenAI paper, the time is right for policymakers to collaborate with technical researchers to investigate, prevent, and mitigate potential malicious uses of artificial intelligence. OpenAI also advised engineers and researchers to acknowledge the dual-use nature of their work, allowing misuse-related considerations to be part of their research priorities. Furthermore, the nonprofit called for more mature methods when addressing AI’s dual-use, especially among stakeholders and domain experts involved in the field.

In conclusion, the OpenAI researchers and their peers admitted that while uncertainties remain in the AI industry, it is almost certain that artificial intelligence will play a huge role in the landscape of the future. With this in mind, a three-pronged approach — consisting of digital security, physical security, and political security — would be a great way to prepare for the upcoming use and possible misuse of artificial intelligence.

Co-founded by Tesla and SpaceX CEO Elon Musk back in 2015, OpenAI is a nonprofit research firm that aims to create and distribute safe artificial general intelligence (AGI) systems. As we noted in a previous report, OpenAI seems to be giving clues that it is ramping up its activity this year, as shown in a recent job posting for a Recruiting Coordinator who will be tasked to train and onboard the company’s new employees.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla Full Self-Driving release in the EU gets delayed

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Credit: Grok Imagine

Tesla Full Self-Driving’s release in Europe is set to be delayed by at least a few months.

The European Union will not vote on Tesla’s Full Self-Driving (Supervised) on October 6. The draft agenda for the 119th meeting of the Technical Committee on Motor Vehicles lists only a 25-minute “continuation of discussions” on the Netherlands’ Article 39 request, not a decision. The next scheduled TCMV session is in December, which is now the earliest date a bloc-wide vote could occur.

Tesla Europe had pointed to October 6 as a possible EU-wide vote after the Dutch vehicle authority RDW granted the first European type approval on April 10.

That approval, under UN Regulation 171 plus an Article 39 exemption in EU Regulation 2018/858, is the legal file other member states have been recognizing one by one. The same committee has already discussed the request twice without voting.

Elon Musk’s reply to the delay was a single word: “Sigh.”

Seven EU countries have now cleared FSD Supervised on their own roads: the Netherlands, Lithuania, Estonia, Denmark, Belgium, Slovenia, and Czechia. Those seven states represent about 53 million people, or roughly 12 percent of the EU population. An EU-wide authorization still needs a qualified majority: at least 15 of 27 member states representing 65 percent of the bloc’s population, about 292 million people.

Germany, France, Italy, and Spain remain the decisive markets. France has already rejected the current system; several other governments have flagged speed-limit compliance as the main sticking point.

The safety case Tesla is putting in front of those governments is now public. On September 1, Tesla Europe said FSD Supervised was in use by more than 70,000 customers, covering over 1 million kilometers a day, and was 4.1 times less likely to be involved in a crash than manual driving across 100 million kilometers on EU public roads.

An earlier mid-year cut of the same fleet data, covering 65 million kilometers in five approved countries, put the collision advantage at 5.2 times, with zero highway collisions over 41.9 million kilometers. Tesla also reported far fewer automatic emergency braking events, harsh accelerations, and hard swerves than in comparable manual Tesla driving. Those figures are company-reported, not independently audited.

Tesla Full Self-Driving is taking over Europe: fourth country gets FSD approval

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The public-health backdrop is harder to dispute. European countries recorded about 19,400 road deaths in 2025, or roughly 53 a day, most of them attributed to human error. FSD Supervised is not unsupervised autonomy; the driver remains legally responsible. But the software is already legal and in daily use across seven member states.

Until TCMV votes, the rest of the EU remains a patchwork: available in Prague and Amsterdam, locked behind review in Paris and Berlin. December is now the next chance to close that gap.

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SpaceX readies Starship Flight 14 for a historic journey into uncharted territory

SpaceX finished Starship’s Flight 14 rehearsal, clearing the way for its first orbital flight Monday.

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Sunrise at Starbase. Starship is stacked for opportunistic full-stack testing ahead of Flight 14 via SpaceX
Sunrise at Starbase. Starship is stacked for opportunistic full-stack testing ahead of Flight 14 via SpaceX

SpaceX has cleared one of the last hurdles before Starship’s first trip to orbit. The company posted on X Thursday afternoon that its launch rehearsal for Flight 14 was complete, keeping the mission on track for Monday, September 28. The launch window opens at 7:15 a.m. CT at Starbase, Texas, and runs for 75 minutes.

A wet dress rehearsal is essentially launch day without the launch. Crews fill Booster 21 and Ship 41 with thousands of tons of extremely cold propellant, run the countdown nearly to ignition, then drain everything back out. It lets engineers catch leaks or equipment problems before anything leaves the pad. SpaceX still needs a launch license from the FAA before the stack, which stands 407 feet tall, can fly.

Flight 14 matters because of where it is going. All 13 previous Starship flights followed a suborbital path, which works like throwing a ball extremely high and far: the vehicle reaches space, but it is always on a course that brings it back down within about an hour. This time, Ship 41 will perform a short engine firing called an orbital insertion burn roughly 25 minutes after liftoff, giving it enough speed to keep falling around Earth instead of back into it. SpaceX plans about six laps at an altitude near 275 kilometers (171 miles) over nearly 10 hours, as Teslarati detailed when the mission was first announced.


Getting into orbit also means Starship has to prove it can get back out. The ship must relight a single Raptor engine in space to slow down for reentry. SpaceX says it will only attempt the orbital insertion burn after flight controllers confirm the hardware needed for that return burn has enough backup, and its flight plan includes health checks that could shorten the mission to two or five orbits.

Flight 14 is also the first to put working satellites into service. Flight 13 carried 20 Starlink V3 satellites in July, but they came back down with the ship because that mission never reached orbit. This time, 26 V3 satellites are meant to stay up and join the constellation within a few weeks. Together they add about 26 terabits per second of network capacity, which SpaceX says is roughly 10 times what a single Falcon 9 launch of older V2 Mini satellites adds. Three of them carry cameras that will photograph Starship’s heat shield in orbit to check for tile damage before reentry.

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The hardware has changed too. Ship 41 flies with extra fasteners on tiles in the most vulnerable areas, fixes for gaps where superheated plasma slipped behind tiles, and curved tiles designed to reduce heating between them. Two tiles recovered from Ship 40 will fly again, the first reuse of any part of a Starship heat shield. Booster 21 carries better engine filtering and new relight software after ice clogged three center engines on the previous booster, leaving only eight of 13 engines to restart for its landing burn.

Ship 41 is targeting a splashdown in the Pacific Ocean west of Chile, a new recovery zone after several Indian Ocean landings, while Booster 21 aims for the Gulf. Neither will be caught by the tower on this flight. Elon Musk said in August that a ship catch was likely “in a few months.”

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Google just picked SpaceX for its first step into orbital AI

Google will launch its first Project Suncatcher AI satellite on SpaceX’s Transporter-18 rideshare next week.

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Google is about to put its own AI chips into orbit for the first time, and it is paying SpaceX to get them there.

The company said Thursday that the first in-orbit test of Project Suncatcher, its research effort to find out whether space can host large-scale AI computing, will fly next week on SpaceX’s Transporter-18 rideshare mission.

The satellite, called MVP, is about the size of a refrigerator and carries four of Google’s Tensor Processing Units, the same chips Google runs in its ground data centers. Google originally planned to launch two custom satellites in 2027, but chose to move faster by integrating its chips into a satellite.

MVP’s solar panels supply about one kilowatt of power, and Google will run Gemini models on the TPUs only in bursts of roughly 15 minutes before the chips shut down so the radiators can shed heat. In a blog post, Google said its Trillium TPUs survived vibration testing that mimicked sustained launch loads of up to 10g, with individual components seeing 50 to 100g, and handled a radiation dose greater than a five year mission would deliver.

SpaceX and Google mull massive partnership on Musk’s orbital data dream: report

Next week’s flight, slated for October 1, follows a relationship that became public in May, when Teslarati reported that Google was in talks with SpaceX for a launch deal tied to orbital data centers. Google also holds a stake of roughly 6% in SpaceX.

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The two companies are chasing the same idea from very different starting points. SpaceX’s own orbital compute program is built around the AI1 satellite, a roughly 70 meter structure derived from Starlink V3 hardware that is designed for 150 kW of peak compute, about 150 times the power MVP will draw. Elon Musk has brushed off concerns about crowding orbit with those satellites, and SpaceX is building its Gigasat factory in Bastrop, Texas, to produce them, targeting an annualized rate of about 1 GW of space compute by the end of 2027.

Musk also posted on X on Thursday that “the amount of compute in space will obviously round up to 100% of all compute.”

Google has been more cautious in public. Its research estimates that launch prices need to fall below about $200 per kilogram before an orbital data center can compete with a ground facility on energy cost, a threshold the company believes could be reached around the mid 2030s. The Suncatcher team has said it expects the effort to remain a project rather than a product for years, which leaves the first real test of its hardware riding on a rocket from the company with the most aggressive timeline in the field.

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