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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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SpaceX wants to catch Starship for launch 14, Elon Musk says

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Credit: SpaceX

Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.

“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.

That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.

A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.

SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.

Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.

SpaceX Starship just nailed something it’s never done before

The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.

Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.

Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.

If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.

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Tesla to open source Model S and Model X designs and software

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Credit: Tesla

In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.

This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”

The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.

The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.

Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.

By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.

Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.

Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.

The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.

By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.

Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come

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Tesla flexes incredible Robotaxi metric that skeptics will hate

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Credit: Tesla

Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.

During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:

“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”

Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.

Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.

“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”

The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.

While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.

The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.

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