News
China looks to overtake US lead in AI research
A new study from a team of economists at the University of Toronto has concluded that China is steadily gaining on the United States in the field of artificial intelligence.
The 2017 Association for the Advancement of Artificial Intelligence (AAAI), a worldwide conference that presents the achievements of the world’s AI leaders, indicated that 23 percent of the authors of academic papers were based from China, according to the AI and International Trade study. This was a massive leap in terms of research output, considering that Chinese AI researchers only contributed 10 percent of the research output in the 2012 AAAI.
The United States, on the other hand, seems to be experiencing a steady decline in its artificial intelligence initiatives. While 34 percent of the academic papers presented in the 2017 AAAI were still American, the number shows a significant decrease from the output of the country’s researchers back in 2012, when studies from the United States represented 41 percent of the academic papers in the conference.
The University of Toronto researchers ranked the world’s most AI-active countries based on time-series data on the institutional affiliation of all authors of papers presented at the AAAI Conference. From this data, the economists concluded that China is catching up rapidly to the United States, with the former exhibiting a 13% growth in research output and the latter showing a 6% decline in academic papers from 2012-2017. The other countries in the Top 5 of the study’s rankings — the UK, Singapore, and Japan — were fairly consistent with their research output during the same period.
In a statement to the New York Times, Elsa Kania, an adjunct fellow at the Center for a New American Security, stated that the United States’s own AI initiatives during the Obama administration might have ironically triggered the artificial intelligence boom in the Asian economic superpower.
“It is remarkable to see how AI has emerged as a top priority for the Chinese leadership and how quickly things have been set into motion. The US plans and policies released in 2016 were seemingly the impetus for the formulation of China’s national AI strategy,” she said.
Not long after the release of the previous administration’s AI reports, China unveiled a plan to become a world leader in artificial intelligence by 2025. By 2030, China aims to have an AI industry worth $150 billion to its economy — one that can stoke national pride and spark breakthroughs in the field.
AI will foster an era of ‘superhuman’ workers, says Google X founder [Photo credit: iStockPhoto]
Seemingly in contrast to China, the United States appears to have tempered down its efforts to maintain its lead in the artificial intelligence field. In a statement to the New York Times, Jack Clark of Elon Musk-backed OpenAI stated that the United States currently lacks a central national strategy in AI. Unfortunately for the US, a focused national stance on intelligent technologies is something that China has in abundance.
“We may have a bunch of small initiatives inside the government that are doing good, but we don’t have a central national strategy. It is confusing that we have this technology of such obvious power and merit and we are not hearing full-throated support, including financial support,” Clark said, according to an NYT report.
As we noted in a previous report, China recently announced a massive AI-driven initiative in the form of a massive 54.87-hectare, 13.8 billion yuan ($2.1 billion) technopark in Beijing that would house companies directly involved in the development of AI technologies and machine learning. The technopark is part of China’s attempts at attaining global AI superiority by 2025.
Overall, despite warnings from Tesla and SpaceX CEO Elon Musk and prominent physicists such as Stephen Hawking, countries such as China are going full throttle towards a future that is rife with evolving, intelligent AI.
News
Tesla is not sparing any expense in ensuring the Cybercab is safe
Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.
The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility.
Intensive crash tests
As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays.
Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads.
Prioritizing safety
With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.
Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.
Elon Musk
Tesla’s Elon Musk gives timeframe for FSD’s release in UAE
Provided that Musk’s timeframe proves accurate, FSD would be able to start saturating the Middle East, starting with the UAE, next year.
Tesla CEO Elon Musk stated on Monday that Full Self-Driving (Supervised) could launch in the United Arab Emirates (UAE) as soon as January 2026.
Provided that Musk’s timeframe proves accurate, FSD would be able to start saturating the Middle East, starting with the UAE, next year.
Musk’s estimate
In a post on X, UAE-based political analyst Ahmed Sharif Al Amiri asked Musk when FSD would arrive in the country, quoting an earlier post where the CEO encouraged users to try out FSD for themselves. Musk responded directly to the analyst’s inquiry.
“Hopefully, next month,” Musk wrote. The exchange attracted a lot of attention, with numerous X users sharing their excitement at the idea of FSD being brought to a new country. FSD (Supervised), after all, would likely allow hands-off highway driving, urban navigation, and parking under driver oversight in traffic-heavy cities such as Dubai and Abu Dhabi.
Musk’s comments about FSD’s arrival in the UAE were posted following his visit to the Middle Eastern country. Over the weekend, images were shared online of Musk meeting with UAE Defense Minister, Deputy Prime Minister, and Dubai Crown Prince HH Sheikh Hamdan bin Mohammed. Musk also posted a supportive message about the country, posting “UAE rocks!” on X.
FSD recognition
FSD has been getting quite a lot of support from foreign media outlets. FSD (Supervised) earned high marks from Germany’s largest car magazine, Auto Bild, during a test in Berlin’s challenging urban environment. The demonstration highlighted the system’s ability to handle dense traffic, construction sites, pedestrian crossings, and narrow streets with smooth, confident decision-making.
Journalist Robin Hornig was particularly struck by FSD’s superior perception and tireless attention, stating: “Tesla FSD Supervised sees more than I do. It doesn’t get distracted and never gets tired. I like to think I’m a good driver, but I can’t match this system’s all-around vision. It’s at its best when both work together: my experience and the Tesla’s constant attention.” Only one intervention was needed when the system misread a route, showcasing its maturity while relying on vision-only sensors and over-the-air learning.
News
Tesla quietly flexes FSD’s reliability amid Waymo blackout in San Francisco
“Tesla Robotaxis were unaffected by the SF power outage,” Musk wrote in his post.
Tesla highlighted its Full Self-Driving (Supervised) system’s robustness this week by sharing dashcam footage of a vehicle in FSD navigating pitch-black San Francisco streets during the city’s widespread power outage.
While Waymo’s robotaxis stalled and caused traffic jams, Tesla’s vision-only approach kept operating seamlessly without remote intervention. Elon Musk amplified the clip, highlighting the contrast between the two systems.
Tesla FSD handles total darkness
The @Tesla_AI account posted a video from a Model Y operating on FSD during San Francisco’s blackout. As could be seen in the video, streetlights, traffic signals, and surrounding illumination were completely out, but the vehicle drove confidently and cautiously, just like a proficient human driver.
Musk reposted the clip, adding context to reports of Waymo vehicles struggling in the same conditions. “Tesla Robotaxis were unaffected by the SF power outage,” Musk wrote in his post.
Musk and the Tesla AI team’s posts highlight the idea that FSD operates a lot like any experienced human driver. Since the system does not rely on a variety of sensors and a complicated symphony of factors, vehicles could technically navigate challenging circumstances as they emerge. This definitely seemed to be the case in San Francisco.
Waymo’s blackout struggles
Waymo faced scrutiny after multiple self-driving Jaguar I-PACE taxis stopped functioning during the blackout, blocking lanes, causing traffic jams, and requiring manual retrieval. Videos shared during the power outage showed fleets of Waymo vehicles just stopping in the middle of the road, seemingly confused about what to do when the lights go out.
In a comment, Waymo stated that its vehicles treat nonfunctional signals as four-way stops, but “the sheer scale of the outage led to instances where vehicles remained stationary longer than usual to confirm the state of the affected intersections. This contributed to traffic friction during the height of the congestion.”
A company spokesperson also shared some thoughts about the incidents. “Yesterday’s power outage was a widespread event that caused gridlock across San Francisco, with non-functioning traffic signals and transit disruptions. While the failure of the utility infrastructure was significant, we are committed to ensuring our technology adjusts to traffic flow during such events,” the Waymo spokesperson stated, adding that it is “focused on rapidly integrating the lessons learned from this event, and are committed to earning and maintaining the trust of the communities we serve every day.”
Tesla is not sparing any expense in ensuring the Cybercab is safe
Tesla’s Elon Musk gives timeframe for FSD’s release in UAE
