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Could Elon Musk tweet for all of eternity? Digital avatar technology could make it happen

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Digital avatars are a blend of science fiction and our current reality, but where is that line drawn, really? Imagine the current minds behind today’s most promising technologies and businesses leaving electronic copies of themselves so that, rather than just existing in nostalgic memories, they could continue contributing to the global conversation for all of digital eternity.

That’s right. The tweets of Elon Musk wouldn’t just be archived for historic perusal. He’d still be tweeting (or opining on a similar platform) long after his great-great-great-grandchildren were graduating from high school on Mars.

Of course, that particular goal could likely be achieved with minimal coding effort utilizing a dataset of his public comments, but that’s not all digital avatar technology is proposing. Imagine being able to approach Elon for personalized business advice, his opinion on a proposed carbon regulation, or thoughts on the name of an off-planet colony, all without the real magnate (magnet?) being directly involved in the conversation – or even alive, for that matter.

MIT Technology Review recently published an article featuring Augmented Eternity, a company developing an application which will host digital personas based on its customers that can be interacted with posthumously. For example, a customer’s business persona could give advice on a corporate deal, and a private persona could be involved with family matters. Utilizing personal data analyzed by artificial intelligence to achieve its goals, Augmented Eternity isn’t the only business on the market for this kind of digital interactivity.

Eternime wants you to live forever as a digital version of your after you die. [Credit: Eterni.me]

The company Eterni.me describes its services as a collection of “your thoughts, stories and memories, curate[d] [into] an intelligent avatar that looks like you…[because]…we all pass away, sooner or later…eventually, we are all forgotten.” Another company with a focus on the living over the dead, ObEN, describes its product as “Personal Artificial Intelligence (PAI)” comprising “personalized digital avatars [that] look, sound, sing, and behave like you…capable of performing a variety of useful tasks.” With its product being a “verified intelligent 3D avatar…perform[ing] activities on your behalf”, ObEN takes direct aim at increasing present day productivity, i.e., benefitting the customer while they are alive.

Admittedly, the idea of storing personal data for use in an artificial intelligence environment isn’t a new one. The concept of creating an avatar embodying the personality of any person has at least been floating around since science fiction envisioned separating human minds from their bodies. One of the notable recent imaginings in entertainment of this concept was seen in the episode, “Be Right Back” from the British science fiction series, “Black Mirror”. In the episode, a widow is able to recreate her dead partner, first as a type of chat box, then a telephone personality, and finally a corporeal being, all by using data obtained via his public electronic records.

Another recent and compelling imagining of this scenario is found in the series, “Caprica”, wherein a teenage girl’s father uploads a sentient avatar of his dead daughter into an advanced robot. The sentience, perhaps, is the factor that makes the software most dangerous, and the avatar’s actions throughout the series confirm this concern. Danger and advanced artificial intelligence are two concepts that seem to come wrapped up in one another, and here we come full circle back to Elon Musk.

When asked what he sees about AI that others with less concern about its future do, Elon replied, “Smart people…define themselves by their intelligence and…they don’t like the idea that a machine could be way smarter than them, so they discount the idea…it’s the wishful thinking situation.” Having also posited that AI is more dangerous than nuclear warheads, there’s no mistaking his position that more care is needed towards the safety of its advancement.

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Another major concern of Elon’s, however, is an extinction-level event which will end humanity, and this concern is part of what drives his and SpaceX’s mission towards colonization of Mars. Could digital avatars be a place where concerns and prospects find common ground? Aside from physically relocating part of humanity to another planet to ensure its long-term survival, encapsulating humanity in digital (smarter?) form as proposed by avatar companies might be another way to ensure the legacy of the species, not just individual customers.

Then again, if we’re all living in a simulation to begin with, digitizing our personas may just be completing the predicted circle of life. Stay tuned – the future of tech moves fast.

Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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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.

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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.

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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.

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“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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