Stamford, Connecticut police recently announced that two suspects in a string of armed sidewalk robberies in the city had been charged. Interestingly enough, authorities stated that the case was cracked partly due to footage and images that were recorded by a Tesla that happened to be parked at a location where one of the robberies took place.
Francisco Olivencia, a 29-year-old man, was charged with four first-degree robbery charges. He is also charged with being a felon in possession of a firearm, conspiracy to commit robbery and attempted first-degree assault, reckless endangerment, and illegal discharge of a firearm. His accomplice, 27-year-old Hadiya Bowles, on the other hand, was charged with three counts of first-degree robbery for her participation in the hold-ups.
On August 31 at about 10 p.m., police were called to East Walnut Street in Stamford’s South End, where an individual stated that he was robbed at gunpoint by a skinny man in a silver SUV. Minutes later, another robbery was reported by two individuals around the corner to Woodland Place. The victims’ descriptions of the suspect, from his appearance to the clothes he was wearing, were identical.
Fortunately for the authorities, a Tesla was parked on Woodland Place and it had its cameras activated. Recordings from the electric car’s cameras revealed the make of the suspect’s vehicle — a 2011 Ford Explorer — as well as its license plate number. After running the plate, police found that the vehicle was registered to Bowles.
The vehicle was spotted at a Motel 6 in the early morning of September 1. When authorities arrived at the location, they found that the motel room had been registered under the 27-year-old’s name. A video of Bowles and Olivencia checking in to the motel was also retrieved. Lt. Tom Scanlon, the head of the Stamford Bureau of Criminal Investigations issued a statement to the Stamford Advocate.
“We were able to take the first suspect (Olivencia) off quickly, while continuing to pursue the investigation in regard to the other involved persons. This isn’t the end of this investigation. There is still more work to be done and investigators are still pursuing the case in regards to other people who were involved,” he said.
The pair was picked up by police on September 4 as they were leaving a party.
Olivencia admitted to committing four robberies from late August to early September when he was questioned by the police. While he confirmed that Bowles was an accomplice as she was the driver of the Ford Explorer, affidavits of the case suggested that he was careful not to implicate the 27-year-old too much for her role in the crimes.
“He continually expressed his desire during his interview not to implicate Bowles too much for her role in these incidents, feeling like he placed undue pressure on her to assist Olivencia in these crimes,” the affidavits stated.
Olivencia is currently being held at the Bridgeport Correctional Center, as he is unable to post a $1 million court appearance bond. Bowles, for her part, was brought to the Stamford courthouse Tuesday morning for arraignment. Unfortunately for her, a judge declined to drop a $750,000 court-set bond, resulting in Bowles being transported to the York Correctional Institution in Niantic.
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
