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Tesla FSD Beta 10.7 gets one-pedal driving, smoother slowdowns

Credit: @muranosky/Twitter)

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Tesla may be targeting the release of FSD Beta 10.8 on Tuesday together with the company’s fun Holiday Update, but this has not stopped the EV maker from releasing FSD Beta 10.7 this past weekend nonetheless. And despite its impending quick replacement with v10.8, v10.7 seems to include a number of key updates that make the advanced driver-assist system smoother to operate. 

Immediately recognizable from v10.7’s detailed Release Notes was that vehicles could now react to things quite a bit faster. With v10.7, FSD Beta would also be less likely to slow down due to bad readings from other cars and objects on the road. Also, the aggressiveness of FSD Beta seems to have been toned down to some degree, with the system now rolling and stopping smoothly for jaywalkers, instead of slamming on the brakes. 

Perhaps most interestingly, however, was that FSD Beta 10.7 also effectively enables one-pedal driving by expanding the use of vehicles’ regenerative braking systems. This should make stops smoother while keeping the physical brakes as infrequently used as possible. This update would likely be a welcome change, as conversations in the r/TeslaMotors subreddit among FSD Beta testers suggest that some users are annoyed by the system’s use of physical brakes in past iterations. 

The following are the specific Release Notes for Tesla’s FSD Beta 10.7. 

FSD Beta v10.7 Release Notes

– Improved object attributes network to reduce false cut-in slowdowns by 50% and lane assignment error by 19%.

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– Improved photon-to-control vehicle response latency by 20% on average.

– Expanded use of regenerative braking in Autopilot down to 0 mph for smoother stops and improved energy efficiency.

– Improved VRU (pedestrians, bicyclists, motorcycles, animals) lateral velocity 1 error by 4.9% by adding more auto-labeled and simulated training examples to the dataset.

– Reduced false slowdowns for crossing objects by improved velocity estimates for objects at the end of visibility.

– Reduced false slowdowns by adding geometric checks to cross-validate lane assignment of objects.

– Improved speed profile for unprotected left turns when visibility is low.

– Added more natural behavior to bias over bike lanes during right turns.

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– Improved comfort when yielding to jaywalkers by better modeling of stopping region with soft and hard deadlines.

– Improved smoothness for merge control with better modeling of merge point and ghost objects positioned at the edge of visibility.

– Improved overall comfort by enforcing stricter lateral jerk bounds in trajectory optimizer.

– Improved short deadline lane changes through richer trajectory modeling.

– Improved integration between lead vehicle overtake and lane change gap selection.

– Updated trajectory line visualization.

While FSD Beta 10.7 seems quite impressive, Elon Musk has noted that v10.8 would probably be released this coming Tuesday, together with the company’s Holiday Update. Tesla’s Holiday Updates are typically comprised of fun additions to vehicles’ features such as games and tricks like the external boombox.

This time around, however, it appears that the company is ensuring that its Holiday Update brings more functionality to its ever-expanding group of FSD Beta testers. These include the capability of FSD Beta to work with other features such as Waypoints, a function that was confirmed by Musk on Twitter. 

Don’t hesitate to contact us with news tips. Just send a message to tips@teslarati.com to give us a heads up.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Elon Musk

Tesla AI boss reveals how big Optimus is going to get

Tesla’s Optimus chief corrected himself on X, confirming a staggering 10 million robot production target.

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Tesla Optimus Gen 3 [Credit: Tesla]

Tesla’s Optimus program has a new number attached to it, after Ashok Elluswamy, the executive who has run the humanoid robot program since June 2025, posted a three word correction on X Thursday, “Correction, 10 million robots.”

The line clarifies the long term annual capacity Tesla is building toward its planned second Optimus production line at Gigafactory Texas, a figure Musk has cited repeatedly since last year’s shareholder meeting.

The scale is worth noting, because ten million robots a year would mean Tesla building more units annually than most countries sell in new cars. Tesla has framed this as a second line, not the first. The buildout is happening in two phases: a roughly one million unit per year line inside Tesla’s Fremont factory, installed on the floor space vacated when Model S and Model X production ended earlier this year, and a much larger dedicated facility under construction at Giga Texas that broke ground on its first steel structure in May. That Texas facility is the one Elluswamy’s correction refers to, and is expected to reach volume production sometime in 2027.

Tesla Optimus project fires up as Musk sees production line progress

Elluswamy took over Optimus from Milan Kovac last summer and has spent the months since talking up the program’s trajectory. Elon Musk has also floated the ten million figure at Tesla’s 2025 shareholder meeting.

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Ending Model S and Model X production to make room for the first Optimus line was one of the more consequential manufacturing decisions in the company’s recent history, retiring two flagship vehicles in favor of a robot that has yet to enter mass production. Musk has previously estimated per unit production costs at $20,000 to $25,000 once Tesla reaches a million units a year, though he hasn’t said what that cost looks like at ten times the volume.

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Autonomous vehicle red tape gets slashed by Trump Administration

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Credit: Zoox

The Trump Administration today made several key moves to help with the deployment of autonomous vehicles by cutting overreaching red tape that has stifled growth and innovation for years.

The moves, which were put forth by the National Highway Traffic Safety Administration (NHTSA), aim to grant temporary exemptions to at least one company currently, although that could expand in the coming months. Additionally, it will work with organizations to develop standards and a sound but efficient regulatory landscape.

Zoox is the only company mentioned explicitly by the Trump Administration in its press release announcing the new terms today. They will receive a temporary two-year exemption that will allow the commercial deployment of up to 2,500 vehicles annually for two years.

There is a potential exemption for Robomart, Inc., which “requests a temporary exemption from certain FMVSS No. 500 requirements for a low-speed vehicle operated by an ADS without a human driver onboard. NHTSA will publish a separate notice seeking public comment on its merits once the initial evaluation is complete,” the agency said.

Here are the five new terms that Secretary Sean Duffy has implemented through the NHTSA today:

  1. Allow Zoox to commercially deploy its robotaxis through a temporary exemption.
    This temporary exemption will allow the commercial deployment of up to 2,500 vehicles annually for two years, subject to an enhanced, adaptable oversight structure that can evolve as Zoox’s technology advances.
  2. Accelerate development of first-ever AV performance standards through a partnership with SAE Industry Technologies Consortia (ITC).
    This partnership will fund a three-year, $5 million “A2SCEND” consortium, bringing together experts to gather data and accelerate creation of the first-ever AV performance standards. This project will inform a single national standard for AV safety to eliminate the patchwork regulatory landscape that has stifled innovation for years.
  3. Publish an interim final rule that allows vehicles manufactured prior to an exemption to be eligible for a commercial deployment exemption.
    This rule will modernize the application process and improve access to exemptions for innovators, including AV developers, by granting the NHTSA Administrator the discretion to apply temporary exemptions to vehicles manufactured prior to the effective date of an exemption grant.
  4. Streamline the application process for Part 555 exemptions by updating guidance and soliciting feedback from the public.
    By updating the Part 555 exemption process—which allows automakers to temporarily sell a limited number of non-compliant vehicles, primarily to test new technologies—NHTSA is aiming to create a more flexible oversight structure for exemptions and summarize recent AV framework activities, including expanded exemption pathways, streamlined crash reporting, and ongoing efforts to modernize Federal Motor Vehicle Safety Standards (FMVSS).
  5. Establish a new Federal Docket for public feedback on NHTSA’s updated safe AV development and deployment guidance.
    NHTSA is updating its technical guidance for AVs for the first time since 2017—focusing on key safety areas like emergency responder interactions, safety management systems, remote assistance, and post-crash behavior to help the industry scale up driverless deployments safely.

Additionally, the NHTSA said it has modernized some safety standards by proposing updates to:

  • FMVSS 102 – Transmission shifting
  • FMVSS 103/104 – Windshield defrosting and wiping
  • FMVSS 110 – Tire placards
  • FMVSS 135 – Braking systems
  • FMVSS 101 – Controls and displays
  • FMVSS 108 – Vehicle lighting
  • FMVSS 111 – Mirrors and rearview display
  • FMVSS 126 – Electronic stability control systems
  • FMVSS 201/208 – Sun visors and warning labels

These changes aim to make the regulatory process for autonomous vehicles more streamlined and efficient, which could help the U.S. gain dominance over autonomous vehicle systems moving forward.

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Elon Musk

Elon Musk has a crazy prediction about AI in two years

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Daniel Oberhaus, CC BY-SA 4.0 , via Wikimedia Commons

Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.

Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.

Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.

He believes that in two years, AI will be so mind-blowing it might be unrecognizable.

This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:

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This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.

Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.

Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.

But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.

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