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.
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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
