During a conference this week, Tesla CEO Elon Musk reiterated claims that the Full Self-Driving (FSD) beta is nearing higher levels of autonomy. The statements echo recent details learned from previews of a new Musk biography, highlighting the FSD system’s many developments in the last several months alone.
Musk was featured in an interview during the All-In Podcast’s 2023 Summit held on Wednesday, during which he discussed topics like Starlink, X, China, artificial intelligence, and more. Among the topics covered was a brief outro on the FSD beta, which he says is “very close” to becoming safer than a human driver without being monitored.
“Yeah, I think it’s getting very close to being in a situation where, even if there’s no human oversight or intervention, that the probability of a safe journey is higher with FSD and no supervision — like even if you’re asleep in the car — than if a person is driving. We’re very close to that,” Musk said on a video call into the summit.
He also pointed to how much the current version of FSD has improved compared to versions from six months ago, a year ago, and 18 months ago. In that time, Musk explained, Tesla has arrived at what it calls the “final piece of the puzzle,” as the company shifts toward making the whole FSD neural network-based.
“And we’ve got the final piece of the puzzle, which is to have the control part of the car transition from about 300,000 lines of C++ code to a [full-scale] neural network, so the whole system will be neural network, photons into controls out,” Musk added.
During the interview, Musk also referred to miles being driven with FSD as being “much safer” than those without it, emphasizing how close the automaker is to solving that “final piece of the puzzle.”
You can watch Musk’s full interview at the 2023 All-In Summit on X, with the FSD discussion taking place around 44:30.
first video from the @allinsummit – in conversation with @elonmusk
available exclusively on @X
(0:00) Besties welcome Elon via Starlink
(05:31) Ukraine and Starlink
(19:10) green shoots of @X
(22:24) the creator economy and optimizing the @x experience
(26:43) the ADL,… pic.twitter.com/vRpnrz3DLV— The All-In Podcast (@theallinpod) September 12, 2023
Tesla Safety Statistics
Tesla releases a regular vehicle safety report detailing quarterly crash results from its Autopilot and FSD systems.
The most recent entry occurred in the fourth quarter of last year, showing fewer crashes when Autopilot technology is engaged than when it isn’t. According to the report, the latest data from the National Highway Traffic Safety Administration (NHTSA) shows that there is an automobile crash in the U.S. every 652,000 miles.
Comparatively, Tesla recorded one crash for every 4.85 million miles driven in Q4 for drivers using its Autopilot systems. Tesla also recorded one crash for every 1.40 million miles driven by drivers in its cars who were not using either of the systems.
The concept of FSD switching to an entirely neural-network-based approach was also detailed earlier this week in previews of a Musk biography written by Walter Isaacson. The biography was published on Wednesday, and it specifically discusses Tesla’s upcoming FSD version 12.
In the past, Musk has said that FSD v12 will no longer be a beta version of the software and will include a significant leap forward.
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News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.