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Tesla FSD Beta V11 release gets the “next week” treatment from Musk

Credit: Drive in EV/Twitter

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Elon Musk has posted a quick update on the potential rollout of FSD Beta V11, the highly-anticipated update to the electric vehicle maker’s advanced driver-assist suite. As confirmed by the CEO, FSD Beta V11 is quite remarkable as it uses a single software stack for both highway and inner-city driving. 

Musk’s recent comments were shared on Twitter. Amidst the ongoing controversy behind his decision to suspend a number of notable journalists on the social media platform over alleged violations of Twitter’s doxxing policy, Musk was asked about the highly-anticipated FSD Beta update. 

When asked by the Tesla Owners Silicon Valley group if FSD Beta V11 is still expected to be rolled out before Christmas, Musk noted that the update should release “next week.” While such a timeframe may seem exciting, Musk’s “next week” estimate has become an inside joke of sorts among those who closely follow Tesla. Musk, after all, has missed estimates for V11’s release in the past. 

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Musk noted last month that the initial rollout of FSD Beta V11 started on 11/11/2022 at 11:11 p.m. PST. Musk later stated that Tesla was looking to release FSD Beta V11 before Thanksgiving. The holiday came and went, and no V11 wide rollout happened. The delay seemed a bit understandable, however, since Tesla did conduct a wide release of FSD Beta to its fleet — it was just V10.69.3.1, not V11. 

Due to FSD Beta V11’s initial release being over a month ago, the update’s full release notes have already been shared online. If the release notes are any indication, it would definitely seem that the highly-anticipated update would be well worth the wait. Following are FSD Beta V11’s release notes, as shared by Tesla enthusiasts online. 

-Enabled FSD Beta on highway. This unifies the vision and planning stack on and off-highway and replaces the legacy highway stack, which is over four years old. The legacy highway stack still relies on several single-camera and single-frame networks, and was setup to handle simple lane-specific maneuvers. FSD Beta’s multi-camera video networks and next-gen planner, that allows for more complex agent interactions with less reliance on lanes, make way for adding more intelligent behaviors, smoother control and better decision making.

– Improved Occupancy Network’s recall for close by obstacles and precision in severe weather conditions with 4x increase in transformer spatial resolution, 20% increase in image featurizer capacity, improved side camera calibration, and 260k more video training clips (real-world and simulation).

– Improved merging behavior by leveraging lane geometry and lane bounds, association with coarse map information and better gap selection algorithms, allowing for a smoother and safer experience.

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– Added highway behavior to offset away from blocked lanes and generic obstacles like road debris while also adding a smooth hand- off between in-lane offsetting and lane changing.

– Improved speed-based lane change decisions to better avoid slowing down traffic in fast lanes, and interfere less with navigation.

– Reduced sensitivity for speed-based lane changes in CHILL mode.

– Improved lane changes to allow higher jerk maneuvers if required to stay on-route or to move away from lane blockages.

– Improved smoothness at highway lane splits by being less strict about centering between lane lines and allowing lower jerk maneuvers, where safe to do so.

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– Reduced latency of trajectory optimization by 20% on average, without sacrificing behavior, by leveraging numerical tricks for more efficient computations.

Don’t hesitate to contact us with news tips. Just send a message to simon@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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NVIDIA CEO Jensen Huang commends Tesla’s Elon Musk for early belief

“And when I announced DGX-1, nobody in the world wanted it. I had no purchase orders, not one. Nobody wanted to buy it. Nobody wanted to be part of it, except for Elon.”

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Credit: NVIDIA

NVIDIA CEO Jensen Huang appeared on the Joe Rogan Experience podcast on Wednesday and commended Tesla CEO Elon Musk for his early belief in what is now the most valuable company in the world.

Huang and Musk are widely regarded as two of the greatest tech entrepreneurs of the modern era, with the two working in conjunction as NVIDIA’s chips are present in Tesla vehicles, particularly utilized for self-driving technology and data collection.

Nvidia CEO Jensen Huang regrets not investing more in Elon Musk’s xAI

Both CEOs defied all odds and created companies from virtually nothing. Musk joined Tesla in the early 2000s before the company had even established any plans to build a vehicle. Jensen created NVIDIA in the booth of a Denny’s restaurant, which has been memorialized with a plaque.

On the JRE episode, Rogan asked about Jensen’s relationship with Elon, to which the NVIDIA CEO said that Musk was there when nobody else was:

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“I was lucky because I had known Elon Musk, and I helped him build the first computer for Model 3, the Model S, and when he wanted to start working on an autonomous vehicle. I helped him build the computer that went into the Model S AV system, his full self-driving system. We were basically the FSD computer version 1, and so we were already working together.

And when I announced DGX-1, nobody in the world wanted it. I had no purchase orders, not one. Nobody wanted to buy it. Nobody wanted to be part of it, except for Elon.

He goes ‘You know what, I have a company that could really use this.’ I said, Wow, my first customer. And he goes, it’s an AI company, and it’s a nonprofit and and we could really use one of these supercomputers. I boxed one up, I drove it up to San Francisco, and I delivered it to the Elon in 2016.”

The first DGX-1 AI supercomputer was delivered personally to Musk when he was with OpenAI, which provided crucial early compute power for AI research, accelerating breakthroughs in machine learning that underpin modern tools like ChatGPT.

Tesla’s Nvidia purchases could reach $4 billion this year: Musk

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The long-term alliance between NVIDIA and Tesla has driven over $2 trillion in the company’s market value since 2016.

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GM CEO Mary Barra says she told Biden to give Tesla and Musk EV credit

“He was crediting me, and I said, ‘Actually, I think a lot of that credit goes to Elon and Tesla…You know me, Andrew. I don’t want to take credit for things.”

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General Motors CEO Mary Barra said in a new interview on Wednesday that she told President Joe Biden to credit Tesla and its CEO, Elon Musk, for the widespread electric vehicle transition.

She said she told Biden this after the former President credited her and GM for leading EV efforts in the United States.

During an interview at the New York Times Dealbook Summit with Andrew Ross Sorkin, Barra said she told Biden that crediting her was essentially a mistake, and that Musk and Tesla should have been explicitly mentioned (via Business Insider):

“He was crediting me, and I said, ‘Actually, I think a lot of that credit goes to Elon and Tesla…You know me, Andrew. I don’t want to take credit for things.”

Back in 2021, President Biden visited GM’s “Factory Zero” plant in Detroit, which was the centerpiece of the company’s massive transition to EVs. The former President went on to discuss the EV industry, and claimed that GM and Barra were the true leaders who caused the change:

“In the auto industry, Detroit is leading the world in electric vehicles. You know how critical it is? Mary, I remember talking to you way back in January about the need for America to lead in electric vehicles. I can remember your dramatic announcement that by 2035, GM would be 100% electric. You changed the whole story, Mary. You did, Mary. You electrified the entire automotive industry. I’m serious. You led, and it matters.”

People were baffled by the President’s decision to highlight GM and Barra, and not Tesla and Musk, who truly started the transition to EVs. GM, Ford, and many other companies only followed in the footsteps of Tesla after it started to take market share from them.

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Elon Musk and Tesla try to save legacy automakers from Déjà vu

Musk would eventually go on to talk about Biden’s words later on:

They have so much power over the White House that they can exclude Tesla from an EV Summit. And, in case the first thing, in case that wasn’t enough, then you have President Biden with Mary Barra at a subsequent event, congratulating Mary for having led the EV revolution.”

In Q4 2021, which was shortly after Biden’s comments, Tesla delivered 300,000 EVs. GM delivered just 26.

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Tesla Full Self-Driving shows confident navigation in heavy snow

So far, from what we’ve seen, snow has not been a huge issue for the most recent Full Self-Driving release. It seems to be acting confidently and handling even snow-covered roads with relative ease.

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Credit: Grok

Tesla Full Self-Driving is getting its first taste of Winter weather for late 2025, as snow is starting to fall all across the United States.

The suite has been vastly improved after Tesla released v14 to many owners with capable hardware, and driving performance, along with overall behavior, has really been something to admire. This is by far the best version of FSD Tesla has ever released, and although there are a handful of regressions with each subsequent release, they are usually cleared up within a week or two.

Tesla is releasing a modified version of FSD v14 for Hardware 3 owners: here’s when

However, adverse weather conditions are something that Tesla will have to confront, as heavy rain, snow, and other interesting situations are bound to occur. In order for the vehicles to be fully autonomous, they will have to go through these scenarios safely and accurately.

One big issue I’ve had, especially in heavy rain, is that the camera vision might be obstructed, which will display messages that certain features’ performance might be degraded.

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So far, from what we’ve seen, snow has not been a huge issue for the most recent Full Self-Driving release. It seems to be acting confidently and handling even snow-covered roads with relative ease:

Moving into the winter months, it will be very interesting to see how FSD handles even more concerning conditions, especially with black ice, freezing rain and snow mix, and other things that happen during colder conditions.

We are excited to test it ourselves, but I am waiting for heavy snowfall to make it to Pennsylvania so I can truly push it to the limit.

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