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Elon Musk left OpenAI due to conflict of interest with Tesla
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.
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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Tesla Full Self-Driving shows stunning maneuver in Europe to silence skeptics
In a striking demonstration of autonomous driving prowess, Tesla’s Full Self-Driving (FSD) system recently showcased its capabilities on the narrow rural roads of the Netherlands. Captured in two in-car videos, the system encountered scenarios that would challenge even the most experienced human drivers.
Tesla Full Self-Driving, fresh on the heels of its approval for operation on European roads for the first time, showed off a stunning maneuver that will certainly silence any skeptics on the continent.
Fresh off its approval in the Netherlands, Full Self-Driving is working toward a significant expansion into more parts of Europe.
In a striking demonstration of autonomous driving prowess, Tesla’s Full Self-Driving (FSD) system recently showcased its capabilities on the narrow rural roads of the Netherlands. Captured in two in-car videos, the system encountered scenarios that would challenge even the most experienced human drivers.
In the first clip, a wide tractor occupied more than half the lane on a tight two-way road. Rather than braking abruptly or forcing a collision risk, FSD smoothly edged the vehicle onto the adjacent bike path—using the extra space with precision—before seamlessly returning to the lane once clear.
The second clip was equally demanding: while overtaking a group of cyclists, an oncoming car approached at speed.
FSD maintained a safe, minimal buffer to the cyclists while timing the pass perfectly, avoiding any swerve or hesitation that could unsettle passengers or other road users.
People wonder if FSD is safe on narrow European roads. Well have a look what it did when a tractor took up more than half of the road or when overtaking bicycles with fast oncoming traffic. pic.twitter.com/z37Csa09sP
— Chanan Bos (@ChananBos) April 14, 2026
This maneuver highlights FSD’s advanced spatial reasoning and predictive planning. On roads often under three meters wide, with no room for error, the system calculated available clearance in real time, incorporated shoulder and path geometry, and executed a controlled deviation without compromising safety.
It treated the bike path as a legitimate extension of navigable space, something many drivers might hesitate to do, while respecting Dutch road norms and cyclist priority.
Such feats align closely with a growing library of impressive FSD maneuvers documented on camera worldwide.
In urban Amsterdam, for instance, FSD has navigated the world’s densest cyclist environments, weaving through hundreds of unpredictable bike movements on canal-side streets with tram tracks and pedestrians.
One uncut drive showed it yielding smoothly at crossings, overtaking where needed, and even handling a near-perfect auto-park in a tight residential spot, demonstrating the same low-speed precision seen in the rural clips.
Teslas using FSD have tackled turbo roundabouts in the Netherlands, complex multi-lane circles notorious for geometry challenges, merging confidently while yielding to traffic. Similar clips depict smooth handling of construction zones, emergency vehicle pull-overs, and gated parking barriers, where the car stops precisely, waits for clearance, and proceeds without driver input.
Collectively, these examples illustrate FSD’s evolution toward handling the unpredictable.
The rural Netherlands maneuvers aren’t isolated. Instead, they reflect a pattern of spatial awareness, cyclist deference, and traffic anticipation seen from city streets to highways.
As FSD continues refining through real-world data, videos like this one are certainly building a compelling case for its readiness on Europe’s varied roads.
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Tesla utilizes its ‘Rave Cave’ for new awesome safety feature
Part of the massive interior overhaul of both the Model 3 “Highland” and Model Y “Juniper” was the addition of interior accent lighting to help bring out the mood of the vehicle, increase the customization of the interior, and to create a unique listening experience.
Tesla is utilizing its ‘Rave Cave’ for an awesome new safety feature that will arrive with the upcoming Spring Update for 2026.
Part of the massive interior overhaul of both the Model 3 “Highland” and Model Y “Juniper” was the addition of interior accent lighting to help bring out the mood of the vehicle, increase the customization of the interior, and to create a unique listening experience.
Tesla added a Sync Lights feature that will strobe the accent strips with the beat of the music.
It is one of the most unique and one of the coolest non-functional features of a Tesla, as it does not improve the driving of the vehicle, but makes it a cool and personal addition to the interior.
However, Tesla is going to take it one step further, as the Rave Cave lights will now be used for blind spot recognition. This feature will be added as the Spring 2026 Update starts to roll out.
A lot of CRAZY new features coming with Tesla’s 2026 Spring Update, including a new FSD app!
– Self-Driving App (AI4 hardware): New app in App Launcher > Self-Driving for one-tap FSD subscriptions, activation guides, and ongoing stats.
– “Hey Grok”: Voice-activated Grok with… https://t.co/ljeYPlq9Qt— TESLARATI (@Teslarati) April 13, 2026
Tesla writes:
“Accent lights now turn red when an object is in your blind spot and your turn signal is engaged, or when an approaching object is detected while parked.”
This neat new safety feature will now increase the likelihood of a driver, who is operating their Tesla manually, of seeing the blind spot warnings that are currently available on the A pillar and on the center touchscreen.
These new alerts will now warn drivers of cross traffic as they back out of a parking space with little to no visibility of what is coming. It is a great new addition that will only increase the safety of the vehicles, while also utilizing something that is already installed in these specific Model 3 and Model Y units.
The Model 3 and Model Y were the central focus of the Spring 2026 Update, especially considering the fact that the Model S and Model X are basically gone, with only a few hundred units left. Additionally, Tesla included new Immersive Sound and Car Visualization for the Model 3 and Model Y specifically in this new update.
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Tesla parked 50+ Cybercabs outside its Texas Factory with some crash tested
Dozens of Tesla Cybercabs have been spotted at Giga Texas crash testing facility ahead of launch.
Drone footage captured by longtime Giga Texas observer Joe Tegtmeyer shows over 50 units of Tesla Cybercab at the Austin factory campus, including several units clustered by Tesla’s on-site crash testing facility.
The outbound lot at Gigafactory Texas sits just outside the factory exit and serves as the primary staging area where finished vehicles are held before being loaded onto transport carriers or dispatched for validation testing. On any given day, the lot holds a mix of Model Y and Cybertruck units alongside the growing Tesla Cybercab fleet, as can be seen in the drone footage captured by Joe Tegtmeyer.
Roughly 50 Cybercab units are visible across the campus, parked in tight organized rows. Most of the units visible still carry steering wheels and pedals, temporary additions Tesla included to satisfy current safety regulations while the vehicles accumulate real-world data ahead of full regulatory approval for a steering wheel-free design. Tesla operates dedicated Crash Labs at both its Giga Texas and Fremont facilities that are purpose-built for controlled structural crash tests. Historically, automakers begin intensive crash testing roughly one to two months before volume production kicks off. The Cybertruck followed almost exactly that pattern. The Cybercab appears to be on the same track facility that we first saw back in October 2025. The first production Cybercab rolled off the Giga Texas line on February 17, 2026. Volume production is now targeted for April. Musk previously wrote on X that “the early production rate will be agonizingly slow, but eventually end up being insanely fast,” and separately stated Tesla is targeting at least 2 million Cybercab units per year. Commercial robotaxi service in Austin is targeted for late 2026.


