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Elon Musk is looking for more Neuralink engineers to build brain interfaces

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Elon Musk is looking for a few good engineers to work for his brain-machine interface company, Neuralink. The future-focused CEO has made remarks on Twitter in recent days regarding the search, even providing a direct email to send resumes from qualified applicants.

“If you’ve solved hard problems with phones / wearables (sealing, signal processing, inductive charging, power mgmt, etc), please consider working at engineering@neuralink.com,” he wrote. “Solving high-volume, high-reliability, low-cost production problems is especially valued.”

Over at Neuralink’s job board, the listings provide a bit more information about the specific positions available. Electrical, embedded systems, firmware, microfabrication, and software engineer titles look to be most relevant to Musk’s comments. However, given the cross-disciplinary nature of Neuralink’s mission, all positions likely contribute something to the wearable tech challenges cited. The most consistent feature desired in would-be applicants, per the job descriptions? “You find large challenges exciting and enjoy discovering and defining problems as much as solving them.”

Musk began his involvement with Neuralink in 2016, and while its goals are lofty, only a few insights into the company’s work have been given since. A “white paper” was released last year along with a live-streamed presentation wherein viewers were treated to exciting revelations about the biotech company’s progress. In particular, a surgical robot for inserting electrodes into the brain is being developed along with flexible “threads” measuring between 4 and 6 μm or, about 1/3 the diameter of human hair, capable of transferring high volumes of data from the brain. Neuralink currently has four published patent applications that expand on the particulars of the technology presented.

Neuralink’s robot used for inserting electrodes into the brain. (Photo: Neuralink)

Musk has teased even more advancements to be revealed soon. “Wait until you see the next version vs what was presented last year. It’s *awesome*,” he tweeted in February this year. “The profound impact of high bandwidth, high precision neural interfaces is underappreciated. Neuralink may have this in a human as soon as this year. Just needs to be unequivocally better than Utah Array, which is already in some humans & has severe drawbacks.”

The technology being developed isn’t really meant to just stir visions of humanoid dystopias – the goals are health focused. Neuralink could help combat brain-related health issues in individuals who are neurologically compromised, possibly restoring limb function, improving general movement, resolving issues with eyesight and hearing, and helping with diseases like Parkinson’s. There is also the possibility that the implementation of a Neuralink device into a brain could pave the way for hindering brain issues like epilepsy, Alzheimer’s disease, and strokes.

Musk’s presentation last year was primarily meant to inspire and invite interested individuals to join Neuralink, and this year’s update is scheduled for August 28th. Also announced alongside the date was a mission statement for the lofty-goaled biotech company: If you can’t beat ’em, join ’em.

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Seriously, though. Musk wants you to join Neuralink if you’ve got the experience they need.

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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Tesla adds notable improvement to Dashcam feature

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Credit: Tesla

Tesla has added a notable improvement to its Dashcam feature after complaints from owners have pushed the company to make a drastic change.

Perhaps one of the biggest frustrations that Tesla owners have communicated regarding the Dashcam feature is the lack of ability to retain any more than 60 minutes of driving footage before it is overwritten.

It does not matter what size USB jump drive is plugged into the vehicle. 60 minutes is all it will hold until new footage takes over the old. This can cause some issues, especially if you were saving an impressive clip of Full Self-Driving or an incident on the road, which could be lost if new footage was recorded.

This has now been changed, as Tesla has shown in the Release Notes for an upcoming Software Update in China. It will likely expand to the U.S. market in the coming weeks, and was first noticed by NotaTeslaApp.

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The release notes state:

“Dashcam Dynamic Recording Duration – The dashcam dynamically adjusts the recording duration based on the available storage capacity of the connected USB drive. For example, with a 128 GB USB drive, the maximum recording duration is approximately 3 hours; with a 1 TB or larger USB drive, it can reach up to 24 hours. This ensures that as much video as possible is retained for review before it gets overwritten.”

Tesla Adds Dynamic Recording

Instead of having a 60-minute cap, the new system will now go off the memory in the USB drive. This means with:

  • 128 GB Jump Drive – Up to Three Hours of Rolling Footage
  • 1TB Jump Drive – Up to 24 Hours of Rolling Footage

This is dependent on the amount of storage available on the jump drive, meaning that if there are other things saved on it, it will take away from the amount of footage that can be retained.

While the feature is just now making its way to employees in China, it will likely be at least several weeks before it makes its way to the U.S., but owners should definitely expect it in the coming months.

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It will be a welcome feature, especially as there will now be more customization to the number of clips and their duration that can be stored.

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Will Tesla join the fold? Predicting a triple merger with SpaceX and xAI

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Created with Grok

With the news of a merger between SpaceX and xAI being confirmed earlier this week by CEO Elon Musk directly, the first moves of an umbrella company that combines all of the serial tech entrepreneur’s companies have been established.

The move aims to combine SpaceX’s prowess in launches with xAI’s expanding vision in artificial intelligence, as Musk has detailed the need for space-based data centers that will require massive amounts of energy to operate.

It has always been in the plans to bring Musk’s companies together under one umbrella.

“My companies are, surprisingly in some ways, trending toward convergence,” Musk said in November. With SpaceX and xAI moving together, many are questioning when Tesla will be next. Analysts believe it is a no-brainer.

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SpaceX officially acquires xAI, merging rockets with AI expertise

Dan Ives of Wedbush wrote in a note earlier this week that there is a “growing chance” Tesla could be merged in some form with the new conglomeration over the next 12 to 18 months.

“In our view, there is a growing chance that Tesla will eventually be merged in some form into SpaceX/xAI over time. The viewis this growing AI ecosystem will focus on Space and Earth together… and Musk will look to combine forces,” Ives said.

Let’s take a look at the potential.

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The Case for Synergies – Building the Ultimate AI Ecosystem

A triple merger would create a unified “Musk Trinity,” blending Tesla’s physical AI with Robotaxi, Optimus, and Full Self-Driving, SpaceX’s orbital infrastructure through Starlink and potential space-based computer, and xAI’s advanced models, including Grok.

This could accelerate real-world AI applications, more specifically, ones like using satellite networks for global autonomy, or even powering massive training through solar-optimized orbital data centers.

This would position the entity, which could ultimately be labeled “X,” as a leader in multiplanetary AI-native tech.

It would impact every level of Musk’s AI-based vision for the future, from passenger use to complex AI training models.

Financial and Structural Incentives — and Risks

xAI’s high cash burn rate is now backed by SpaceX’s massive valuation boost, and Tesla joining the merger would help the company gain access to private funding channels, avoiding dilution in a public-heavy structure.

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The deal makes sense from a capital standpoint, as it is an advantage for each company in its own specific way, addressing specific needs.

Because xAI is spending money at an accelerating rate due to its massive compute needs, SpaceX provides a bit of a “lifeline” by redirecting its growing cash flows toward AI ambitions without the need for constant external fundraising.

Additionally, Tesla’s recent $2 billion investment in xAI also ties in, as its own heavy CapEx for Dojo supercomputers, Robotaxis, and Optimus could potentially be streamlined.

Musk’s stake in Tesla and SpaceX, after the xAI merger, is also uneven. His ownership in Tesla equates to about 13 percent, only increasing as he achieves each tranche of his most recent compensation package. Meanwhile, he owns about 43 percent of the private SpaceX.

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A triple merger between the three companies could boost his ownership in the combined entity to around 26 percent. This would give Musk what he wants: stronger voting power and alignment across his ventures.

It could also be a potential facilitator in private-to-public transitions, as a reverse merger structure to take SpaceX public indirectly via Tesla could be used. This avoids any IPO scrutiny while accessing the public markets’ liquidity.

Timeline and Triggers for a Public Announcement

As previously mentioned, Ives believes a 12-18 month timeline is realistic, fueled by Musk’s repeated hints at convergence between his three companies. Additionally, the recent xAI investment by Tesla only points toward the increased potential for a conglomeration.

Of course, there is speculation that the merger could happen in the shorter term, before June 30 of this year, which is a legitimate possibility. While this possibility exists but remains at low probability, especially when driven by rapid AI/space momentum, longer horizons, like 2027 or later, allow for key milestones like Tesla’s Robotaxi rollout and Cybercab ramp-up, Optimus scaling, or regulatory clarity under a favorable administration.

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Credit: Grok Imagine

The sequencing matters: SpaceX-xAI merger as “step one” toward a unified stack, with a potential SpaceX IPO setting a valuation benchmark before any Tesla tie-up.

Full triple convergence could follow if synergies prove out.

Prediction markets are also a reasonable thing to look at, just to get an idea of where people are putting their money. Polymarket, for example, sits at between a 12 and 24 percent chance that a Tesla-SpaceX merger is officially announced before June 30, 2026.

Looking Ahead

The SpaceX-xAI merger is not your typical corporate shuffle. Instead, it’s the clearest signal yet that Musk is architecting a unified “Muskonomy” where AI, space infrastructure, and real-world robotics converge to solve humanity’s biggest challenges.

Yet the path is fraught with execution risks that could turn this visionary upside into a major value trap. Valuation mismatches remain at the forefront of this skepticism: Tesla’s public multiples are unlike any company ever, with many believing they are “stretched.” On the other hand, SpaceX-xAI’s private “marked-to-muth” pricing hinges on unproven synergies and lofty projects, especially orbital data centers and all of the things Musk and Co. will have to figure out along the way.

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Ultimately, the entire thing relies on a high-conviction bet on Musk’s ability to execute at scale. The bullish case is transformative: a vertically integrated AI-space-robotics giant accelerates humanity toward abundance and multi-planetary civilization faster than any siloed company could.

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IM Motors co-CEO apologizes to Tesla China over FUD comments

Liu said later investigations showed the accident was not caused by a brake failure on the Tesla’s part, contrary to his initial comments.

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Credit: Grok Imagine

Liu Tao, co-CEO of IM Motors, has publicly apologized to Tesla China for comments he made in 2022 suggesting a Tesla vehicle was defective following a fatal traffic accident in Chaozhou, China. 

Liu said later investigations showed the accident was not caused by a brake failure on the Tesla’s part, contrary to his initial comments.

IM Motors co-CEO issues apology

Liu Tao posted a statement addressing remarks he made following a serious traffic accident in Chaozhou, Guangdong province, in November 2022, as noted in a Sina News report. Liu stated that based on limited public information at the time, he published a Weibo post suggesting a safety issue with the Tesla involved in the crash. The executive clarified that his initial comments were incorrect.

“On November 17, 2022, based on limited publicly available information, I posted a Weibo post regarding a major traffic accident that occurred in Chaozhou, suggesting that the Tesla product involved in the accident posed a safety hazard. Four hours later, I deleted the post. In May 2023, according to the traffic police’s accident liability determination and relevant forensic opinions, the Chaozhou accident was not caused by Tesla brake failure. 

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“The aforementioned findings and opinions regarding the investigation conclusions of the Chaozhou accident corrected the erroneous statements I made in my previous Weibo post, and I hereby clarify and correct them. I apologize for the negative impact my inappropriate remarks made before the facts were ascertained, which caused Tesla,” Liu said. 

Investigation and court findings

The Chaozhou accident occurred in Raoping County in November 2022 and resulted in two deaths and three injuries. Video footage circulated online at the time showed a Tesla vehicle accelerating at high speed and colliding with multiple motorcycles and bicycles. Reports indicated the vehicle reached a speed of 198 kilometers per hour.

The incident drew widespread attention as the parties involved provided conflicting accounts and investigation details were released gradually. Media reports in early 2023 said investigation results had been completed, though the vehicle owner requested a re-investigation, delaying the issuance of a final liability determination.

The case resurfaced later in 2023 following a defamation lawsuit filed by Tesla China against a media outlet. According to a court judgment cited by Shanghai Securities News, forensic analysis determined that the fatal accident was unrelated to any malfunction on the Tesla’s braking or steering systems. The court also ruled that the media outlet must publish an apology, address the negative impact on Tesla China’s reputation, and pay a penalty of 30,000 yuan.

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