The United Auto Workers (UAW) union recently came to tentative contract agreements with the Big Three automakers of Michigan, and General Motors’s (GM’s) investment plans in the agreement reportedly include around $2 billion dedicated to electric vehicle (EV) parts and production.
According to a summary of GM’s agreement with the UAW, GM is set to invest nearly $2 billion into EV production plans at facilities in Michigan, Kansas and New York (via Automotive News). The investments include $1.25 billion set for the Lansing, Michigan Grand River assembly plant and $391 million for its Fairfax, Kansas assembly facility, both of which will produce EVs. The automaker will also invest $300 million into its Tonawanda, New York site for electric drive production.
The financials come as part of more than $11 billion planned for manufacturing investments, many of which are also expected to be related to EV production. The UAW has also said that around $40 billion will be invested by the three automakers during the contract’s term, which ends in April 2028.
“We were able to wrench back so much of what these companies have stolen from us over the past few decades,” UAW President Shawn Fain said during a Facebook livestream on Saturday. “We won back our dignity as auto workers.”
The UAW GM Bargaining 2023 page is your hub to find the information you'll need to make an informed vote on the current tentative agreement. Check it out at the link below.https://t.co/5hBoPl8YrH#StandUpUAW pic.twitter.com/lj4lXuoIrP
— UAW (@UAW) November 4, 2023
Over the next few weeks, the UAW will hold votes for workers to ratify the tentative contracts, and all three of the automakers are including $5,000 ratification bonuses and wage increases of 25 percent over the four-and-a-half-year period.
Other parts of the contract include the restoration of cost-of-living adjustments (COLA) that bring the wage increases to around 33 percent, or over $42 per hour, according to the union. It will also increase the pay of temporary workers with over 90 days on the job by between 51 percent and 115 percent upon being ratified. Temporary workers will be able to become full-time and gain seniority status after working at covered locations for nine months.
Additionally, the agreement brings GM’s Ultium Cells joint venture plants under the contract’s coverage, and employees of the battery arm are expected to get hourly pay raises of at least $6 to $8 when the contract is ratified, according to the UAW.
Although GM refused to comment on the matter, CEO Mary Barra said that the automaker is “pleased to have reached a tentative agreement with the UAW that reflects the contributions of the team while enabling us to continue to invest in our future and provide good jobs in the U.S.”
Over the course of the strikes, Fain implied UAW hopes to reach other automakers not covered by the contracts in the coming years, including Tesla, Toyota, Honda and others. Last month, Fain called workers at the other automakers “UAW members of the future,” highlighting hopes to expand the union’s reach.
Following the union reaching tentative agreements with Ford, GM and Stellantis, Fain also said that the union was looking to bargain with the “Big Five or Six” in 2028 when contracts ended, suggesting that Tesla would likely be amongst the organization’s next targets.
The unionization of Tesla has seen workers divided, and past labor efforts at the automaker’s Fremont, California factory have failed. Tesla CEO Elon Musk also invited the UAW to hold a union vote at its Fremont factory last March, though the union never followed up.
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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.
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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.
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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.