News
Tesla starts hunt for team that will work its humanoid “Tesla Bot”
During AI Day, Tesla announced its plans to make a humanoid robot that could perform tasks that are generally repetitive, dangerous, or boring. Recently, Tesla posted jobs on its Careers page for the humanoid robot, hinting at how serious the EV maker is about the project.
Elon Musk announced that Tesla aims to unveil a prototype of the Tesla Bot in 2022. With only a few months left of 2021, Tesla isn’t wasting time on the Tesla Bot prototype, and the company’s Careers page reflects that.
Tesla has posted at least four jobs on its Careers page that directly link to the Tesla Bot. Overall, there are four jobs posted for humanoid robots, all of which are located in Palo Alto, CA.
Tesla wants to fill two mechanical engineer jobs, one of which focuses on actuator gear designs and systems. The other mechanical engineer job concentrates on the mechanical design and the integration of the actuator components of the Tesla Bot.
Tesla also opened up two jobs for a senior humanoid mechatronic robotic architect and a senior humanoid modeling robotic architect. Both positions call for someone to help the humanoid robotics modeling team build a Tesla Bot that can support manufacturing operators in “tedious and exhaustive tasks.”
“For the Tesla bot, it’s going to start with work that is boring and repetitive. Basically, work that a person would least like to do,” said Elon Musk during AI Day.
The architect job listings suggest that Tesla believes its humanoid robot could help with manufacturing.
The responsibilities of each job are listed below:
Mechanical Engineer – Actuator Gear Design (Humanoid Robot)
- Design and integration of rotary and linear speed reduction systems for high performance motion control actuator applications.
- Collaboration with electromagnetic motor design engineers to develop the most torque dense and efficient electromechanical actuator systems in the world.
- Continuously evaluate new technologies and design improvements to develop the most power dense, efficient, low cost, and reliable electromechanical gear systems and actuators.
- Design and build motor, gear, and actuator prototypes for the validation of mechanical and electromechanical performance.
- Basic fabrication, machining, wiring, general electronics, debugging, and parts chasing.
- Collaboration with supply chain, vendor, and manufacturing engineers.
Mechanical Engineer – Actuator Integration (Humanoid Robot)
- Mechanical design and integration of rotary and linear electromechanical actuators.
- Collaboration with electromagnetic motor design engineers to develop the most torque dense and efficient electromechanical actuator systems in the world.
- Design and integration of rotary and linear speed reduction systems for high performance motion control actuator applications.
- Collaboration with supply chain, vendor, and manufacturing engineers.
- Continuously evaluate new technologies and design improvements to develop the most power dense, efficient, low cost, and reliable electric motors and actuators.
- Design and build motor and actuator prototypes for the validation of mechanical and electromechanical performance.
- Basic fabrication, machining, wiring, general electronics, debugging, and parts chasing.
- Strong skills in CAD (CATIA, NX, Inventor, Solid Works, etc.).
- Programming skills in Matlab/Simulink are preferred.
Senior Humanoid Mechatronic Robotics Architect
- Robot modelling architecture
- Conceptual design of biped robots
- Accurate modeling of kinematic chains
- Abstraction and conversion of joint mechanisms into rigid body trees
- Physics/model representations of joints, limbs
- Design and support of new mechanism
- Measurement and matching of model and simulation
- Complex controls simplification for fast analysis
Senior Humanoid Modeling Robotics Architect
- Robot modelling architecture
- Conceptual design of biped robots
- Accurate modeling of kinematic chains
- Abstraction and conversion of joint mechanisms into rigid body trees
- Physics/model representations of joints, limbs
- Design and support of new mechanisms
- Measurement and matching of model and simulation
- Complex controls simplification for fast analysis
The Teslarati team would appreciate hearing from you. If you have any tips, reach out to me at maria@teslarati.com or via Twitter @Writer_01001101.
Elon Musk
Elon Musk’s X will start using a Tesla-like software update strategy
The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.
Elon Musk’s social media platform X will adopt a Tesla-esque approach to software updates for its algorithm.
The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.
X’s updates to its updates
As per Musk in a post on X, the social media company will be making a new algorithm to determine what organic and advertising posts are recommended to users. These updates would then be repeated every four weeks.
“We will make the new 𝕏 algorithm, including all code used to determine what organic and advertising posts are recommended to users, open source in 7 days. This will be repeated every 4 weeks, with comprehensive developer notes, to help you understand what changed,” Musk wrote in his post.
The initiative somewhat mirrors Tesla’s over-the-air update model, where vehicle software is regularly refined and pushed to users with detailed release notes. This should allow users to better understand the details of X’s every update and foster a healthy feedback loop for the social media platform.
xAI and X
X, formerly Twitter, has been acquired by Elon Musk’s artificial intelligence startup, xAI last year. Since then, xAI has seen a rapid rise in valuation. Following the company’s the company’s upsized $20 billion Series E funding round, estimates now suggest that xAI is worth tens about $230 to $235 billion. That’s several times larger than Tesla when Elon Musk received his controversial 2018 CEO Performance Award.
As per xAI, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others. Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
News
Tesla FSD Supervised wins MotorTrend’s Best Driver Assistance Award
The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system.
Tesla’s Full Self-Driving (Supervised) system has been named the best driver-assistance technology on the market, earning top honors at the 2026 MotorTrend Best Tech Awards.
The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system. And it wasn’t even close.
MotorTrend reverses course
MotorTrend awarded Tesla FSD (Supervised) its 2026 Best Tech Driver Assistance title after extensive testing of the latest v14 software. The publication acknowledged that it had previously criticized earlier versions of FSD for erratic behavior and near-miss incidents, ultimately favoring rivals such as GM’s Super Cruise in earlier evaluations.
According to MotorTrend, the newest iteration of FSD resolved many of those shortcomings. Testers said v14 showed far smoother behavior in complex urban scenarios, including unprotected left turns, traffic circles, emergency vehicles, and dense city streets. While the system still requires constant driver supervision, judges concluded that no other advanced driver-assistance system currently matches its breadth of capability.
Unlike rival systems that rely on combinations of cameras, radar, lidar, and mapped highways, Tesla’s FSD operates using a camera-only approach and is capable of driving on city streets, rural roads, and freeways. MotorTrend stated that pure utility, the ability to handle nearly all road types, ultimately separated FSD from competitors like Ford BlueCruise, GM Super Cruise, and BMW’s Highway Assistant.
High cost and high capability
MotorTrend also addressed FSD’s pricing, which remains significantly higher than rival systems. Tesla currently charges $8,000 for a one-time purchase or $99 per month for a subscription, compared with far lower upfront and subscription costs from other automakers. The publication noted that the premium is justified given FSD’s unmatched scope and continuous software evolution.
Safety remained a central focus of the evaluation. While testers reported collision-free operation over thousands of miles, they noted ongoing concerns around FSD’s configurable driving modes, including options that allow aggressive driving and speeds beyond posted limits. MotorTrend emphasized that, like all Level 2 systems, FSD still depends on a fully attentive human driver at all times.
Despite those caveats, the publication concluded that Tesla’s rapid software progress fundamentally reshaped the competitive landscape. For drivers seeking the most capable hands-on driver-assistance system available today, MotorTrend concluded Tesla FSD (Supervised) now stands alone at the top.
News
Elon Musk’s Grokipedia surges to 5.6M articles, almost 79% of English Wikipedia
The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago.
Elon Musk’s Grokipedia has grown to an impressive 5,615,201 articles as of today, closing in on 79% of the English Wikipedia’s current total of 7,119,376 articles.
The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago. Needless to say, it would only be a matter of time before Grokipedia exceeds English Wikipedia in sheer volume.
Grokipedia’s rapid growth
xAI’s vision for Grokipedia emphasizes neutrality, while Grok’s reasoning capabilities allow for fast drafting and fact-checking. When Elon Musk announced the initiative in late September 2025, he noted that Grokipedia would be an improvement to Wikipedia because it would be designed to avoid bias.
At the time, Musk noted that Grokipedia “is a necessary step towards the xAI goal of understanding the Universe.”
Grokipedia was launched in late October, and while xAI was careful to list it only as Version 0.1 at the time, the online encyclopedia immediately earned praise. Wikipedia co-founder Larry Sanger highlighted the project’s innovative approach, noting how it leverages AI to fill knowledge gaps and enable rapid updates. Netizens also observed how Grokipedia tends to present articles in a more objective manner compared to Wikipedia, which is edited by humans.
Elon Musk’s ambitious plans
With 5,615,201 total articles, Grokipedia has now grown to almost 79% of English Wikipedia’s article base. This is incredibly quick, though Grokipedia remains text-only for now. xAI, for its part, has now updated the online encyclopedia’s iteration to v0.2.
Elon Musk has shared bold ideas for Grokipedia, including sending a record of the entire knowledge base to space as part of xAI’s mission to preserve and expand human understanding. At some point, Musk stated that Grokipedia will be renamed to Encyclopedia Galactica, and it will be sent to the cosmos.
“When Grokipedia is good enough (long way to go), we will change the name to Encyclopedia Galactica. It will be an open source distillation of all knowledge, including audio, images and video. Join xAI to help build the sci-fi version of the Library of Alexandria!” Musk wrote, adding in a later post that “Copies will be etched in stone and sent to the Moon, Mars and beyond. This time, it will not be lost.”
Elon Musk’s X will start using a Tesla-like software update strategy
Tesla FSD Supervised wins MotorTrend’s Best Driver Assistance Award
