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Tesla’s date-specific releases are spelling trouble for competing car companies
Tesla continues to release the newest and most exciting features in automotive technology on what seems like a daily basis. Recently, CEO Elon Musk has dropped several exciting developments dealing with manufacturing, battery technology, or Self-Driving functionality, all pointing toward the beginning of the end of the internal combustion engine industry. With every strategically-timed feature that Tesla releases, the ICE industry suffers another hit, making the numerous manufacturers that have been around for nearly a century rethink their strategies for the future as consumers look for new technology in cars. Tesla has established itself as the leader in moving the automotive industry forward.
Just last week, Musk stated on Twitter that Tesla would be releasing a “zero-intervention” version of the FSD suite, allowing owners to have their cars drive to destinations with no real responsibilities being left on the driver.
Musk confirmed the exact date of release earlier this morning, saying that the feature will be subject to a “limited FSD beta” on October 20th. The release date is “as promised,” as last week, the CEO indicated that it would be released “in a few weeks.”
Limited FSD beta releasing on Tuesday next week, as promised. This will, at first, be limited to a small number of people who are expert & careful drivers.
— Elon Musk (@elonmusk) October 12, 2020
Tesla has been fairly accurate with its timeframes in terms of releasing new technology to owners. However, there have been a few times in the past where the company has released something a few days, weeks, or months past the announced date. Usually, delays come down to whether the feature or functionality is ready for public use. When it comes to self-driving or semi-autonomous driving features, mistakes must be minimal. Tesla has to be sure that all bases are covered before releasing even a new characteristic’s limited-version.
Without performing the proper due-diligence, Tesla could be set back for months or even years. The company must continue to use its strive for perfection to its advantage. But now, Tesla is becoming more accurate with its timeframes, which spells significant amounts of trouble for other carmakers.
When the Full Self-Driving suite was aimed at a “feature complete” release toward the end of last year, many enthusiasts knew it would be tough for Tesla to complete this task. After the goal was not met, Musk indicated that Tesla would continue to work on the FSD suite and would release new features intermittently. Tesla did just this.
One of the most relevant examples of this is the Traffic Light and Stop Sign Control feature that became available in April 2020. When initially released, it required users to confirm that an intersection was safe for navigation by confirming it through the driving stalk. In June, Tesla removed the need for driver confirmation, allowing cars to navigate through intersections without driver intervention.
Tesla has kept its word with releasing features. However, what has been missing is an accurate timeframe, which has kept owners guessing about which features will be available at what times. But, Tesla is improving with this and is becoming more deliberate with keeping up with goals.
With more predictable release dates, Tesla becomes significantly more dangerous to legacy and ICE automotive companies. Knowing exactly when features will be ready and when the public will have the opportunity to experience them is effectively Tesla digging the six-foot deep hole where ICE car companies will lie within a few years. It means Tesla is developing functionalities in a timely fashion with accuracy and confidence.
Even though the feature is not a wide-release, FSD features rarely are. They often start with Tesla employees, and then roll out to members of the company’s “Early Access Program.” After the bugs and kinks, if there are any, are modified, then the wide-release begins.
As Tesla continues to raise the bar in semi-autonomous driving, electric vehicle technology, and EV battery functionality, it is evident that soon, there will be no more advantages to driving a car that is powered by gas. While fun for some, driving is a chore for others, and FSD will give those who are forced to travel the opportunity to have cars drive themselves.
The big picture of Tesla is narrowing down specific release dates for features is that their approach is becoming more calculated, defined, and precise. All of which are a disaster for traditional car companies who are still lagging in EV development and Advanced Driver Assistance features. Tesla is pulling away, not only literally, but metaphorically, as well.
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.
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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
