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Elon Musk and Jack Ma discuss AI’s risks, Mars, and how humans can secure the future

(Credit: Vincent Yu/Twitter)

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Tesla and SpaceX CEO Elon Musk and Alibaba founder and Chairman Jack Ma kicked off the 2019 World Artificial Intelligence Conference in Shanghai, China, with an informal debate about AI and its implications to humanity. Throughout their conversation, Musk and Ma touched on several topics, from jobs, the need for educational reform, moving to Mars, and how humans’ way of life can improve in the future.

Opposing Views

The two billionaires have vastly differing points of view concerning artificial intelligence. While Musk is cautious about AI considering the dangers it may pose to humanity, Ma is far more optimistic. “I don’t think AI is a threat,” Ma said, responding to the Tesla CEO’s introductory points. Explaining further, the Alibaba founder noted that people are “street smart,” and thus, humanity will be fine even when AI evolves. Musk, for his part, doubled down on his point, arguing that AI’s rate of improvement is notable, and there will come a time when computers will outpace humans’ natural ability to understand it.

Making humans multi-planetary

Musk noted that humans have an opportunity today because this is the first time in history that it’s “possible to extend life beyond Earth.” He added that the window for this could either be open for a long or short time. Thus, it is in humanity’s best interest to secure its multi-planetary opportunities as quickly as possible.

Ma, for his part, argued that he has no interest in multi-planetary initiatives. “I’m not a fan of going to Mars,” he noted. Instead, Ma stated that it’s more pertinent for humans to try and preserve Earth. The Alibaba chairman nevertheless stated that the world needs innovators like Elon Musk, in as much as it needs people who are willing to do what needs to be done to save the planet. “We need heroes like you (who want to go to Mars), but we need heroes like us (who will fix Earth),” Ma said.

Musk explained that preserving Earth is a notable part of Tesla’s mission, from transitioning the transportation sector towards sustainability to fostering energy independence through solar power and batteries. Responding to Ma’s statements about using resources to focus on solving Earth’s problems, Musk noted that it will only take a fraction of the world’s GDP to make humans multi-planetary, comparable or even less than what people spend on something like makeup annually. “Spending resources on making life multi-planetary would be enough with just 1% of the earth’s GDP,” Musk noted.

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AI’s threat to jobs

“Why do we need that many jobs anyway?” Ma said, explaining that humans have been fearing that tech will take jobs away for over a hundred years, and yet, jobs have increased. Ma believes that with AI’s help, humans can eventually reach a point where the average workweek is only 3 days per week, and the average workday is only 4 hours a day. This, according to Ma, opens the opportunity for humans to enjoy life more, and live even longer. “We need to be ready to enter the era where everyone will get to live 120 years,” he said.

Musk, for his part, stated that the advent of AI will likely make most jobs pointless. Considering AI’s evolution, Musk noted that the time will come when computers could eventually make their own software. With this in mind, it would be best for people to embrace areas such as engineering and fields of study that deal with human relations, as these will still be pertinent even in the artificial intelligence age. The Tesla CEO added that this is the reason behind Neuralink and its brain-machine interface, as it will prevent humans from being left behind.

The need for education reform

The Alibaba founder admitted that he is worried about the current educational system, which is still largely designed for the industrial period. Ma argues that today, there is a need to foster more creative and constructive education, which would allow humans to live a happier life. “I want to spend more time training kids on painting, singing, dancing, these creative things that make people live like humans,” he said. Ma added that people have heart, and that is where wisdom comes from. With this in mind, it is best for education to focus on training this aspect of the human being.

The Tesla CEO agreed that creative education is needed, particularly as today’s school system is “low bandwidth and extremely slow.” Musk noted that solutions such as Neuralink’s neural lace could be a difference-maker in this sense, as it would allow people to upload skills and learn them quickly, in a manner that is not too far from the concepts depicted in the sci-fi franchise The Matrix.

The dangers of AI

While the two disruptors agreed that there is a need for educational reform, Musk and Ma disagreed most about the potential risks of AI. Ma argued that compared to humans, computers are just a toy, adding that the best resource in the world is the human brain. “It’s impossible that humans could be controlled by machines. They’re machines that are invented by humans,” Ma said.

Musk noted that he very much disagrees with Ma’s stance. Arguing his point, the Tesla CEO stated that humans are capable of creating things that are superior to people. Humans are not the last step in evolution, Musk said, and people must be wary of thinking that they are smarter than they really are. “The most important mistake smart people make is that they think they’re smart. Computers are already smarter than people. We just keep moving the goalposts,” he stated.

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Responding to Musk’s argument, Ma noted that the metrics humans use to benchmark themselves against AI (such as world champions in Chess playing against artificial intelligence) do not make sense, as games like Go are designed for human minds. “Why should humans play against computers? It’s stupid to compete with computers,” Ma quipped, adding that while computers can be clever, humans are smarter and wiser.

The future of humanity

Musk believes that one of the world’s greatest threats lie in its declining birthrate. “The world’s biggest issue in 20 years is population collapse,” he said, adding that this could be a big issue considering that humans generally have a “20-year boot sequence.” Ma agreed, stating that even China’s population, which currently stands at 1.4 billion people, sounds a lot today, but if one factors in the country’s declining birthrate, the country will see a completely different landscape in 20 years.

Musk added that more humans are definitely needed, especially with the start of multi-planetary initiatives. “Mars needs people,” he lightly said.

Ma ultimately believes that pursuing AI is wise to make people’s lives better. The Alibaba founded added that artificial intelligence can always do a better job when logic is involved, but when logic is not involved, humans will always be better. To thrive in the future, Ma stated that humans need not just IQ, but emotional intelligence, and (love) intelligence as well. Musk nodded, stating “I agree with him. Love is the answer.”

Watch Elon Musk and Jack Ma’s informal AI debate in the video below.

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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 FSD v14.2.2 is getting rave reviews from drivers

So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.

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Credit: @BLKMDL3/X

Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others. 

The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.

Owners highlight major improvements

Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.

Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.

Closer to unsupervised

FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.

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According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.

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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform

The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.

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Credit: xAI

The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil. 

The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.

xAI Integration

As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.

“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release. 

Strategic advantages

The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.

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“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.

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Tesla FSD (Supervised) v14.2.2 starts rolling out

The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.

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Credit: Grok Imagine

Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.

Key FSD v14.2.2 improvements

As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.

Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.

FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.  

Key FSD v14.2.2 release notes

Full Self-Driving (Supervised) v14.2.2 includes:

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  • Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
  • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
  • Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
  • Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
  • Added additional Speed Profile to further customize driving style preference.
  • Improved handling for static and dynamic gates.
  • Improved offsetting for road debris (e.g. tires, tree branches, boxes).
  • Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
  • Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
  • Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
  • Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
  • Camera visibility can lead to increased attention monitoring sensitivity. 

Upcoming Improvements:

  • Overall smoothness and sentience.
  • Parking spot selection and parking quality.
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