Connect with us
general motors logo general motors logo

News

GM software unit to be led by two former Apple executives

Credit: GM

Published

on

The General Motors (GM) software division will now be led by two former Apple executives, as announced by the company this week.

On Monday, GM announced that it was promoting former Apple executives Baris Cetinok and Dave Richardson to lead the Software and Services unit, officially replacing former head Mike Abbott, who the company says departed in March due to health needs. The announcement also comes after Apple quietly canceled its “Project Titan” autonomous vehicle earlier this year, after several years of development.

Cetinok will serve as the SVP of Software and Services Product Management, Program Management and Design, while Richardson will be expanding his role as the automaker’s SVP of Software and Services Engineering.

GM raises 2024 financial guidance on Q1 revenue

“GM’s journey toward a tech-forward future is clearer than ever, thanks to the exceptional talent within our team and the leadership of Baris and Dave,” wrote CEO Mary Barra in the press release.

Advertisement
-->

“They bring energy and vision, combined with extensive technical and management experience, that will continue to strengthen our software engineering and product teams. These elevated roles will ensure continuity, speed, and quality as software becomes even more central to the vehicle.”

Cetinok has worked in product, engineering and design at Apple, Amazon, Microsoft, leading the launches of several key Apple products such as Apple Pay, Apple Cash, Apple Card, as well as iCloud services like Photos, Drive and Find My. In total, he was with Apple for nine years, before going on to work in executive roles at Robinhood and FalconX.

“I’m excited to share that this week I am embarking on the role of Senior Vice President of Software and Services Product Management, Program Management and Design at General Motors, working alongside my friend David Richardson who will head up Software and Services Engineering,” wrote Cetinok in a post on LinkedIn on Monday.

Richardson worked at Apple for 12 years, going on to become the Director of Engineering for Apple Cloud infrastructure. He played key roles in developing infrastructure systems for iCloud products, FaceTime, iMessage, and Siri, among others.

“In this role, I’ll be focusing on areas including software defined vehicle development, software quality and testing, services, cloud platforms, web and mobile, IT, and advanced driver-assistance systems,” wrote Richardson in his own LinkedIn post announcing the news.

Advertisement
-->

The news comes as GM has re-launched human-operated testing for its Cruise driverless ride-sharing vehicles, after one of the company’s self-driving vehicles struck a pedestrian in October. The company’s license to operate driverless vehicles was immediately suspended following the event, and GM has highlighted re-launching Cruise as a major goal for this year.

What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

Advertisement
Comments

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.

Published

on

xAI-supercomputer-memphis-environment-pushback
Credit: xAI

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.

Advertisement
-->

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.

Continue Reading

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.

Published

on

Credit: Tesla

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.

Advertisement
-->

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.

Continue Reading

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.

Published

on

Credit: ANCAP

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.

Advertisement
-->

“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.

Continue Reading