News
Jeff Bezos ponders Tesla’s ‘complexity’ in China following Musk’s Twitter acquisition
Following Elon Musk’s acquisition of social media platform Twitter yesterday, Amazon founder and former CEO Jeff Bezos pondered the potential hoops Tesla, Musk’s automotive company, may have to jump through as a company operating in China. Due to Musk’s purchase of Twitter, Bezos questioned whether China gained “a bit of leverage” over the platform’s censorship, but backtracked.
A Tweet from New York Times reporter Mike Forsythe identified Tesla’s success in the Chinese market. After entering China as an automaker in early 2020, Tesla has experienced success in the market with its Model 3 and Model Y vehicles, which have routinely been identified as a couple of the best-selling EVs in the country. Tesla’s production facility in China, known as Gigafactory Shanghai, outpaced Tesla’s U.S. factory in Fremont, California, in production figures in 2021, accounting for 51.7 percent of the company’s total vehicle deliveries for the year.
Apropos of something:
-Tesla’s second-biggest market in 2021 was China (after the US)
-Chinese battery makers are major suppliers for Tesla’s EVs.
-After 2009, when China banned Twitter, the government there had almost no leverage over the platform
-That may have just changed— Mike Forsythe 傅才德 (@PekingMike) April 25, 2022
Forsythe recognizes this, along with Chinese battery suppliers and their links to Tesla. However, his Tweet begins to also call out China’s ban of Twitter in 2009, and how the government had “almost no leverage over the platform.” With Musk’s purchase yesterday, “That may have just changed,” the Tweet concludes.
Bezos responded and jostled with the question, “Did the Chinese government just gain a bit of leverage over the town square,” using the term as Musk has in the past to compare Twitter to a social gathering of people to discuss ideas and issues. “My own answer to this question is probably not. The more likely outcome in this regard is complexity in China of Tesla, rather than censorship at Twitter.”
My own answer to this question is probably not. The more likely outcome in this regard is complexity in China for Tesla, rather than censorship at Twitter.
— Jeff Bezos (@JeffBezos) April 26, 2022
Musk, who purchased Twitter for $44 billion yesterday, said in the past his reasons for buying Twitter are related to free speech and censorship, is unlikely to see any real changes from China just because he’s bought the platform. Many American social media outlets are unavailable in China because, as the government has described in the past, it is a way to avoid “risks in the ideological field from the Internet.”
The true challenges will occur in China for Tesla; at least, Bezos thinks so. However, the automaker has had a reasonably positive relationship with China and its government, especially as Tesla has expanded operations at its plant, providing thousands of jobs to local workers.
Bezos, whose former company Amazon has done business in China for many years, purchased the Washington Post in 2013. The newspaper had no reservations about challenging Musk’s fight against censorship with stories earlier this month. Musk called the headline, “a good laugh.”
Ouch, I just snorted coffee out of my nose. pic.twitter.com/bDCYhMhdag
— Marc Andreessen (@pmarca) April 5, 2022
Additionally, a report from Dauxe Consulting reported that some 38 percent of Amazon’s top-selling brands were based in China.
Tesla has performed extremely well in China with sales, but it has also had its issues. The company had its vehicles banned from government properties and military bases due to its use of external cameras equipped for Full Self-Driving and Sentry Mode. Tesla’s in-cabin cameras are not active in China.
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News
Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
News
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
News
Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
