With the Climate Bill that includes funding for EV buying incentives approaching its final round of voting and news about possible details on the funding running rampant, I will attempt to consolidate as much knowledge as possible into one place.
First of all, I and others here at Teslarati have written numerous articles covering EV incentives. These articles will help you understand how incentives have been voted on recently and how EV incentives in the US compared to the rest of the world. Some of the most notable include this article about US State level EV incentives, this article about how the “union made” incentive was scrapped earlier this year and this opinion piece about what Elon Musk thinks about EV incentives and how he hopes the US will move away from ICE vehicles.
A personal favorite from outside of Teslarati, Martyn Lee of the EV News Daily podcast has laid out a couple of perspectives from Twitter in one of his most recent episodes.
Martyn does a fantastic job of laying out a couple of perspectives on the EV incentives, how some are proposing to pay for them, and reading from experts examining the bill. One such expert is Tom Randall of Reuters, who has posted numerous Twitter threads on the topic. His most notable is the one linked below, where he covers the basics of incentives, who will qualify, and other notes surrounding the legislative process/votes.
Interesting EV tax credit details in the new Manchin deal: $7.5k credit per new vehicle and $4k for a used EV (or 30% of price, whichever is less). The credits expire at the end of 2032—with no manufacturer caps. A bunch of new limitations include ?1/
— Tom Randall (@tsrandall) July 28, 2022
Some important notes from the thread are that used cars will also qualify for a tax rebate of up to $4,000 (as long as your salary is below $75,000 individually or $150,000 for joint filers), and new cars will only qualify if they are under $55,000, new SUVs and trucks will have to be below $80,000, and used vehicles must cost less than $25,000 to qualify.
For those who need a consolidated explanation of what will allow a vehicle to access the incentive, u/mad691 on the r/Electric Vehicles subreddit has posted a spreadsheet that includes all current plugin models and their possible federal rebates if the bill, in its current form, passes. The sheet consists of the qualifications that manufacturers must meet for customers to access the tax rebate along the top row.
Listed on the left are the current incentives available for each model. Then the following five columns highlight whether the vehicle may qualify in the future under the new proposal. These qualifications would disqualify the vehicle from the incentives. Finally, on the right are two columns that highlight the possible rebate of the vehicle and the change in rebate from the current system (red being negative, black being positive change).
Possible Federal EV Incentives from u/Mad691 on Reddit
While the sheet is not fleshed out completely, especially looking at the battery material clause and battery component clause columns, it can at least give a sense of what vehicles may qualify and which may not. Any of the three middle columns (Car Price, Truck+SUV Price, and Assembled in America) are instant disqualifiers and represent the vast majority of disqualifications from the incentives.
Some surprising results from the table include GM’s offerings that would once again be available for the rebate, the laundry list of vehicles not assembled in the US that would no longer qualify for the tax credits, as well as the long list of PHEVs that will continue to receive the full $7,500 in tax credits despite small batteries and lackluster fuel economy (specifically looking at the Jeep Wrangler 4xe with 14 miles of EV range and the BMW X5 with 30 miles of EV range).
This news should be taken with a huge grain of salt as voting and editing the bill have not yet been completed. However, it can give a basic understanding of what incentives may become available if the bill were to pass.
What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!
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
