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Tesla’s use of AI Day for recruitment piqued interest from engineers, Musk says
Tesla’s use of specific events for recruiting purposes was welcomed in by the company’s recently held AI Day, which took place in mid-September. Looking to expand its team of software engineers and AI experts, Tesla showed the most intimate details regarding its AI platform, impressive examples of its Full Self-Driving suite, and even unveiled the Tesla Bot. The idea worked, CEO Elon Musk revealed during the 2021 Annual Shareholder’s Meeting, which was held last night.
AI Day was perhaps Tesla’s most in-depth look into its semi-autonomous driving programs, its plan for a next-level Supercomputer and chip, and a surprising look at the company’s plans to begin building robot prototypes. Ultimately, for anyone who was in attendance or listening to the event, it was obvious it wasn’t geared toward informing the normal Tesla fan or enthusiast about its FSD progress. The language and technical nature of the event pointed toward one thing: Tesla needed new, young, and bright talent for their development of AI, and this was the perfect outlet for it.
Still, it is only a good idea if it works. But let’s be real, in 2021, what hotshot out of college would not want to work at Tesla? With all of the great technology that the company has released in the past few years, combined with the undoubted position of authority that Tesla holds in the EV space, most college students or engineering prodigies would most likely be willing to submit an application to Tesla, and Elon Musk stated that the event was overwhelmingly successful in bringing Tesla the talent that it sought after.
“And then AI Day, I think it was important to change the fundamental perception of Tesla because people do…they sort of think of Tesla as a car company, and yes, we made cars, but the AI part of Tesla was not well understood,” Musk said at the Shareholder meeting. “Tesla is as much a software company as it is a hardware company. And we also do the chips. So we designed the full self-driving inference computer. We’re designing a training computer that’s going to be able to, we think, be the most efficient neural net training computer in the world by far.”
It is a common misperception among most people to think that Tesla is exclusively an automotive manufacturer. However, the company deals with much more outside the realm of vehicles. Along with sustainable energy storage and production through its Tesla Energy side, it also develops software, chips, and other crucial parts of a car’s “brain,” if you can see it in that light. This is all a result of the hard work and dedication Tesla’s engineers have put forth. Musk indicates that more highly qualified candidates are on the way.
“We’re seeing a tremendous response, so daily applicants by role…And then after AI Day, that’s the AI applicants increased dramatically. So I thought that was a very successful day. Team did a great job. And yes, it’s going to be a very important part of the future. Self-driving is obviously one of the functions,” Musk added.
Please consider joining Tesla AI software or hardware teams! pic.twitter.com/HgigdtenKN
— Elon Musk (@elonmusk) October 8, 2021
Tesla has landed on Universum’s list of most attractive employers for engineering students on several occasions. Released in November 2020, the most recent list had Tesla and SpaceX ranked first and second, respectively, in the rankings.
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Tesla to improve one of its best features, coding shows
According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.
Tesla is looking to upgrade its Matrix Headlights, a unique and high-tech feature that is available on several of its vehicles. The headlights aim to maximize visibility for Tesla drivers while being considerate of oncoming traffic.
The Matrix Headlights Tesla offers utilize dimming of individual light pixels to ensure that visibility stays high for those behind the wheel, while also being considerate of other cars by decreasing the brightness in areas where other cars are traveling.
Here’s what they look like in action:
- Credit: u/ObjectiveScratch | Reddit
- Credit: u/ObjectiveScratch | Reddit
As you can see, the Matrix headlight system intentionally dims the area where oncoming cars would be impacted by high beams. This keeps visibility at a maximum for everyone on the road, including those who could be hit with bright lights in their eyes.
There are still a handful of complaints from owners, however, but Tesla appears to be looking to resolve these with the coming updates in a Software Version that is currently labeled 2026.2.xxx. The coding was spotted by X user BERKANT:
🚨 Tesla is quietly upgrading Matrix headlights.
Software https://t.co/pXEklQiXSq reveals a hidden feature:
matrix_two_stage_reflection_dip
This is a major step beyond current adaptive high beams.
What it means:
• The car detects highly reflective objects
Road signs,… pic.twitter.com/m5UpQJFA2n— BERKANT (@Tesla_NL_TR) February 24, 2026
According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.
Finally, the new system will prevent the high beams from glaring back at the driver. The system is made to dim when it recognizes oncoming cars, but not necessarily objects that could produce glaring issues back at the driver.
Tesla’s revolutionary Matrix headlights are coming to the U.S.
This upgrade is software-focused, so there will not need to be any physical changes or upgrades made to Tesla vehicles that utilize the Matrix headlights currently.
Elon Musk
xAI’s Grok approved for Pentagon classified systems: report
Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations.
Elon Musk’s xAI has signed an agreement with the United States Department of Defense (DoD) to allow Grok to be used in classified military systems.
Previously, Anthropic’s Claude had been the only AI system approved for the most sensitive military work, but a dispute over usage safeguards has reportedly prompted the Pentagon to broaden its options, as noted in a report from Axios.
Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations.
The publication reported that xAI agreed to the Pentagon’s requirement that its technology be usable for “all lawful purposes,” a standard Anthropic has reportedly resisted due to alleged ethical restrictions tied to mass surveillance and autonomous weapons use.
Defense Secretary Pete Hegseth is scheduled to meet with Anthropic CEO Dario Amodei in what sources expect to be a tense meeting, with the publication hinting that the Pentagon could designate Anthropic a “supply chain risk” if the company does not lift its safeguards.
Axios stated that replacing Claude fully might be technically challenging even if xAI or other alternative AI systems take its place. That being said, other AI systems are already in use by the DoD.
Grok already operates in the Pentagon’s unclassified systems alongside Google’s Gemini and OpenAI’s ChatGPT. Google is reportedly close to an agreement that will result in Gemini being used for classified use, while OpenAI’s progress toward classified deployment is described as slower but still feasible.
The publication noted that the Pentagon continues talks with several AI companies as it prepares for potential changes in classified AI sourcing.
Elon Musk
Elon Musk denies Starlink’s price cuts are due to Amazon Kuiper
“This has nothing to do with Kuiper, we’re just trying to make Starlink more affordable to a broader audience,” Musk wrote in a post on X.
Elon Musk has pushed back on claims that Starlink’s recent price reductions are tied to Amazon’s Kuiper project.
In a post on X, Musk responded directly to a report suggesting that Starlink was cutting prices and offering free hardware to partners ahead of a planned IPO and increased competition from Kuiper.
“This has nothing to do with Kuiper, we’re just trying to make Starlink more affordable to a broader audience,” Musk wrote in a post on X. “The lower the cost, the more Starlink can be used by people who don’t have much money, especially in the developing world.”
The speculation originated from a post summarizing a report from The Information, which ran with the headline “SpaceX’s Starlink Makes Land Grab as Amazon Threat Looms.” The report stated that SpaceX is aggressively cutting prices and giving free hardware to distribution partners, which was interpreted as a reaction to Amazon’s Kuiper’s upcoming rollout and possible IPO.
In a way, Musk’s comments could be quite accurate considering Starlink’s current scale. The constellation currently has more than 9,700 satellites in operation today, making it by far the largest satellite broadband network in operation. It has also managed to grow its user base to 10 million active customers across more than 150 countries worldwide.
Amazon’s Kuiper, by comparison, has launched approximately 211 satellites to date, as per data from SatelliteMap.Space, some of which were launched by SpaceX’s Falcon 9 rocket. Starlink surpassed that number in early January 2020, during the early buildout of its first-generation network.
Lower pricing also aligns with Starlink’s broader expansion strategy. SpaceX continues to deploy satellites at a rapid pace using Falcon 9, and future launches aboard Starship are expected to significantly accelerate the constellation’s growth. A larger network improves capacity and global coverage, which can support a broader customer base.
In that context, price reductions can be viewed as a way to match expanding supply with growing demand. Musk’s companies have historically used aggressive pricing strategies to drive adoption at scale, particularly when vertical integration allows costs to decline over time.

