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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 exec: Preparations underway but no firm timeline yet for FSD rollout in China
The information was related by Tesla China Vice President Grace Tao in a comment to local media.
Tesla has not set a specific launch date for Full Self-Driving in China, despite the company’s ongoing preparations for a local FSD rollout.
The information was related by Tesla China Vice President Grace Tao in a comment to local media.
Tesla China prepares FSD infrastructure
Speaking in a recent media interview, the executive confirmed that Tesla has established a local training center in China to support the full adaptation of FSD to domestic driving conditions, as noted in a report from Sina News. However, she also noted that the company does not have a specific date when FSD will officially roll out in China.
“We have set up a local training center in China specifically to handle this adaptation,” Tao said. “Once officially released, it will demonstrate a level of performance that is no less than, and may even surpass, that of local drivers.”
Tao also emphasized the rapid accumulation of data by Tesla’s FSD system, with the executive highlighting that Full Self-Driving has now accumulated more than 7.5 billion miles of real-world driving data worldwide.
Possible 2026 rollout
The Tesla executive’s comments come amidst Elon Musk’s previous comments suggesting that regulatory approval in China could arrive sometime this 2026. During Tesla’s annual shareholder meeting in November 2025, Musk clarified that FSD had only received “partial approval” in China, though full authorization could potentially arrive around February or March 2026.
Musk reiterated that timeline at the World Economic Forum in Davos, when he stated that FSD approval in China could come as early as February.
Tesla’s latest FSD software, version 14, is already being tested in more advanced deployments in the United States. The company has also started the rollout of its fully unsupervised Robotaxis in Austin, Texas, which no longer feature safety monitors.
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Tesla Semi lines up for $165M in California incentives ahead of mass production
The update was initially reported by The Los Angeles Times.
Tesla is reportedly positioned to receive roughly $165 million in California clean-truck incentives for its Semi.
The update was initially reported by The Los Angeles Times.
As per the Times, the Tesla Semi’s funding will come from California’s Hybrid and Zero-Emission Truck and Bus Incentive Project (HVIP), which was designed to accelerate the adoption of cleaner medium- and heavy-duty vehicles. Since its launch in 2009, the HVIP has distributed more than $1.6 billion to support zero-emission trucks and buses across the state.
In recent funding rounds, nearly 1,000 HVIP vouchers were provisionally reserved for the Tesla Semi, giving Tesla a far larger share of available funding than any other automaker. An analysis by the Times found that even after revisions to public data, Tesla still accounts for about $165 million in incentives. The next-largest recipient, Canadian bus manufacturer New Flyer, received roughly $68 million.
This is quite unsurprising, however, considering that the Tesla Semi does not have a lot of competition in the zero-emissions trucking segment.
To qualify for HVIP funding, vehicles must be approved by the California Air Resources Board and listed in the program catalog, as noted in an electrive report. When the Tesla Semi voucher applications were submitted, public certification records only showed eligibility for the 2024 model year, with later model years not yet listed.
State officials have stated that certification details often involve confidential business information and that funding will only be paid once vehicles are fully approved and delivered. Still, the first-come, first-served nature of HVIP means large voucher reservations can effectively crowd out competing electric trucks. Incentive amounts for the Semi reportedly ranged from about $84,000 to as much as $351,000 per vehicle after data adjustments.
Unveiled in 2017, the Tesla Semi has seen limited deliveries so far, though CEO Elon Musk has recently reiterated that the Class 8 all-electric truck will enter mass production this year.
Elon Musk
Tesla reveals major info about the Semi as it heads toward ‘mass production’
Some information, like trim levels and their specs were not revealed by Tesla, but now that the Semi is headed toward mass production this year, the company finally revealed those specifics.
Tesla has revealed some major information about the all-electric Semi as it heads toward “mass production,” according to CEO Elon Musk.
The Semi has been working toward a wider production phase after several years of development, pilot programs, and the construction of a dedicated production facility that is specifically catered to the manufacturing of the vehicle.
However, some information, like trim levels and their specs were not revealed by Tesla, but now that the Semi is headed toward mass production this year, the company finally revealed those specifics.
Tesla Semi undergoes major redesign as dedicated factory preps for deliveries
Tesla plans to build a Standard Range and Long Range Trim level of the Semi, and while the range is noted in the company’s newly-released spec list, there is no indication of what battery size will be equipped by them. However, there is a notable weight difference between the two of roughly 3,000 lbs, and the Long Range configuration has a lightning-fast peak charging speed of 1.2 MW.
This information is not available for the Standard Range quite yet.
The spec list is as follows:
- Standard Range:
- 325 miles of range (at 82,000 lbs gross combination weight
- Curb Weight: <20,000
- Energy Consumption: 1.7 kWh per mile
- Powertrain: 3 independent motors on rear axles
- Charging: Up to 60% of range in 30 minutes
- Charge Type: MCS 3.2
- Drive Power: Up to 800 kW
- ePTO (Electric Power Take Off): Up to 25 kW
- Long Range:
- Range: 500 miles (at 82,000 lbs gross combination weight)
- Curb Weight: 23,000 lbs
- Energy Consumption: 1.7 kWh per mile
- Powertrain: 3 independent motors on rear axles
- Charging: Up to 60% of range in 30 minutes
- Charge Type: MCS 3.2
- Peak charging speed: 1.2MW (1,200kW)
- Drive Power: Up to 800 kW
- ePTO (Electric Power Take Off): Up to 25 kW
It is important to keep in mind that the Semi is currently spec’d for local runs, and Tesla has not yet released or developed a sleeper cabin that would be more suitable for longer trips, cross-country hauls, and overnight travel.
Tesla Semi sleeper section and large side storage teased in new video
Instead, the vehicle will be initially used for regional deliveries, as it has in the pilot programs for Pepsi Co. and Frito-Lay for the past several years.
It will enter mass production this year, Musk confirmed on X over the weekend.
Now that the company’s dedicated Semi production facility in Sparks, Nevada, is standing, the timeline seems much more realistic as the vehicle has had its mass manufacturing date adjusted on several occasions.