Tesla’s Full Self-Driving (FSD) beta version 12 has been a hot topic over the last several months, representing an important switch that’s expected to help unlock higher levels of autonomy. And while the highly anticipated FSD v12 hasn’t yet been deployed publicly, some think that it could go out to a wider audience by the end of this month.
Last month, Tesla began rolling out the FSD beta v12.1 to Wave1, a group made up of over 15,000 employee vehicles. CEO Elon Musk went on to say that Tesla is currently performing extra testing on v12 before the software sees a wider release to the public.
In a recent look at where the FSD beta v12 is at ahead of its release, Teslascope shared a detailed breakdown of events leading up to this point on X over the weekend, adding that they’re “hopeful” that the software will be released sometime in late January. In addition, the account says that Tesla has begun internal tests of Actually Smart Summon (ASS), which has a “very likely chance” of going out later on in the first quarter.
Teslascope also points to recent feedback on the FSD beta v12 received from employees in the Wave1 group, with most answering that the software did indeed include some substantial improvements. These are summarized below, based on at least a dozen reviews shared with Teslascope from employees in California:
Tesla FSD beta v12.1: improvements to “human-like behavior” and general stability
- 72 percent said FSD beta v12.1 includes improvements in “human-like behavior” and general stability.
- 20 percent said there was no change to “human-like behavior” and general stability.
- 8 percent said these factors had worsened.
Tesla FSD beta v12.1: improvements to roundabout encounters
- ~40 percent said FSD beta v12.1 improved roundabout encounters had improved.
- ~50 percent said there was no change to roundabout encounters.
- ~10 percent said these factors had worsened.
Tesla FSD beta v12.1: improvements to lane-keeping
- 37 percent said FSD beta v12.1 offered improvements to lane-keeping.
- 60 percent said there was no change to lane-keeping.
- 3 percent said these factors had worsened.
Despite the hopefulness, the account also notes that the Cybertruck release has caused Tesla to put some extra energy into creating a stable FSD beta build for the vehicle, though Musk recently noted that the electric pickup would be the lowest priority for the FSD beta. Because of the extra effort put into this, the account says that delays could be possible and that they’re continuing to monitor the ongoing deployment of the version to those within the Wave1 group.
Tesla unveiled plans for the FSD beta v12 last year, featuring the elimination of over 300,000 lines of human-written code that previously controlled functions such as steering, acceleration and braking. Instead, v12 is expected to rely much more heavily on its neural network, training its artificial intelligence (AI) through massive amounts of real-time driving footage, and using the neural network to actually control the vehicle, rather than just detecting objects.
Musk also debuted the FSD beta v12 in a live stream in August, and he has also said that the version would lose its “beta” designation. Tesla began rolling FSD v12 out to employees in November, and screenshots from the Wave1 group appeared to show that the version will still use the beta moniker.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
News
Tesla Model Y and Model 3 named safest vehicles tested by ANCAP in 2025
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025.
The Tesla Model Y recorded the highest overall safety score of any vehicle tested by ANCAP in 2025. The Tesla Model 3 also delivered strong results, reinforcing the automaker’s safety leadership in Australia and New Zealand.
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025. ANCAP’s 2025 tests evaluated vehicles across four key pillars: Adult Occupant Protection, Child Occupant Protection, Vulnerable Road User Protection, and Safety Assist technologies.
The Model Y posted consistently strong results in all four categories, distinguishing itself through a system-based safety approach that combines structural crash protection with advanced driver-assistance features such as autonomous emergency braking, lane support, and driver monitoring.
This marked the second time the Model Y has topped ANCAP’s annual safety rankings. The Model Y’s previous version was also ANCAP’s top performer in 2022.
The Tesla Model 3 also delivered a strong performance in ANCAP’s 2025 tests, contributing to Tesla’s broader safety presence across segments. Similar to the Model Y, the Model 3 also earned impressive scores across the ANCAP’s four pillars. This made the vehicle the top performer in the Medium Car category.
ANCAP Chief Executive Officer Carla Hoorweg stated that the results highlight a growing industry shift toward integrated safety design, with improvements in technologies such as autonomous emergency braking and lane support translating into meaningful real-world protection.
“ANCAP’s testing continues to reinforce a clear message: the safest vehicles are those designed with safety as a system, not a checklist. The top performers this year delivered consistent results across physical crash protection, crash avoidance and vulnerable road user safety, rather than relying on strength in a single area.
“We are also seeing increasing alignment between ANCAP’s test requirements and the safety technologies that genuinely matter on Australian and New Zealand roads. Improvements in autonomous emergency braking, lane support, and driver monitoring systems are translating into more robust protection,” Hoorweg said.
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
