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.
Elon Musk
Tesla Giga Berlin growth could stall if not “free from external influences”: Elon Musk
The comments were delivered in a pre-recorded video discussion.
Tesla CEO Elon Musk has reportedly warned that future expansion of Gigafactory Berlin could be jeopardized if the site does not remain “free from external influences.”
Musk’s comments were delivered in a pre-recorded video discussion with employees and came at a sensitive moment for the facility, where union representation has been a recurring issue.
According to reports from Handelsblatt and Der Spiegel, citing participants at the event, Musk suggested that if Giga Berlin is no longer “free from external influences,” further expansion would become unlikely. He did not, however, hint that the plant would shut down.
While Musk did not name IG Metall directly, his remarks were widely interpreted as referencing the union, which is currently the largest faction on the works council but does not hold a majority, as noted in an electrive report.
The video conversation was conducted between Musk in Austin and Grünheide plant manager André Thierig, then played back to the workforce in Germany. Works council elections are scheduled for early March, heightening the tension between management and organized labor.
The CEO has previously voiced concerns that stronger union influence could limit Tesla’s operational flexibility and long-term strategy in Germany.
Despite the warning on expansion, Musk praised the Giga Berlin site during the same address, describing it as one of the most advanced factories worldwide and highlighting its cleanliness and team culture.
The discussion also reportedly touched on battery cell production. According to attendees cited in German media, Musk indicated that Tesla has begun ramping cell production at the site. That would mark a notable shift from earlier expectations that large-scale cell manufacturing in Brandenburg would not begin until 2027.
Elon Musk
Tesla Full Self-Driving’s newest behavior is the perfect answer to aggressive cars
According to a recent video, it now appears the suite will automatically pull over if there is a tailgater on your bumper, the most ideal solution for when a driver is riding your bumper.
Tesla Full Self-Driving appears to have a new behavior that is the perfect answer to aggressive drivers.
According to a recent video, it now appears the suite will automatically pull over if there is a tailgater on your bumper, the most ideal solution for when a driver is riding your bumper.
With FSD’s constantly-changing Speed Profiles, it seems as if this solution could help eliminate the need to tinker with driving modes from the person in the driver’s seat. This tends to be one of my biggest complaints from FSD at times.
A video posted on X shows a Tesla on Full Self-Driving pulling over to the shoulder on windy, wet roads after another car seemed to be following it quite aggressively. The car looks to have automatically sensed that the vehicle behind it was in a bit of a hurry, so FSD determined that pulling over and letting it by was the best idea:
Tesla appears to be implementing some sort of feature that will now pull over if someone is tailgating you to let the car by
Really cool feature, definitely get a lot of this from those who think they drive race cars
— TESLARATI (@Teslarati) February 26, 2026
We can see from the clip that there was no human intervention to pull over to the side, as the driver’s hands are stationary and never interfere with the turn signal stalk.
This can be used to override some of the decisions FSD makes, and is a great way to get things back on track if the semi-autonomous functionality tries to do something that is either unneeded or not included in the routing on the in-car Nav.
FSD tends to move over for faster traffic on the interstate when there are multiple lanes. On two-lane highways, it will pass slower cars using the left lane. When faster traffic is behind a Tesla on FSD, the vehicle will move back over to the right lane, the correct behavior in a scenario like this.
Perhaps one of my biggest complaints at times with Full Self-Driving, especially from version to version, is how much tinkering Tesla does with Speed Profiles. One minute, they’re suitable for driving on local roads, the next, they’re either too fast or too slow.
When they are too slow, most of us just shift up into a faster setting, but at times, even that’s not enough, see below:
What has happened to Mad Max?
At one point it was going 32 in a 35. Traffic ahead had pulled away considerably https://t.co/bjKvaMVTNX pic.twitter.com/aaZSWmLu5v
— TESLARATI (@Teslarati) January 24, 2026
There are times when it feels like it would be suitable for the car to just pull over and let the vehicle that is traveling behind pass. This, at least up until this point, it appears, was something that required human intervention.
Now, it looks like Tesla is trying to get FSD to a point where it just knows that it should probably get out of the way.
Elon Musk
Tesla Megapack powers $1.1B AI data center project in Brazil
By integrating Tesla’s Megapack systems, the facility will function not only as a major power consumer but also as a grid-supporting asset.
Tesla’s Megapack battery systems will be deployed as part of a 400MW AI data center campus in Uberlândia, Brazil. The initiative is described as one of Latin America’s largest AI infrastructure projects.
The project is being led by RT-One, which confirmed that the facility will integrate Tesla Megapack battery energy storage systems (BESS) as part of a broader industrial alliance that includes Hitachi Energy, Siemens, ABB, HIMOINSA, and Schneider Electric. The project is backed by more than R$6 billion (approximately $1.1 billion) in private capital.
According to RT-One, the data center is designed to operate on 100% renewable energy while also reinforcing regional grid stability.
“Brazil generates abundant energy, particularly from renewable sources such as solar and wind. However, high renewable penetration can create grid stability challenges,” RT-One President Fernando Palamone noted in a post on LinkedIn. “Managing this imbalance is one of the country’s growing infrastructure priorities.”
By integrating Tesla’s Megapack systems, the facility will function not only as a major power consumer but also as a grid-supporting asset.
“The facility will be capable of absorbing excess electricity when supply is high and providing stabilization services when the grid requires additional support. This approach enhances resilience, improves reliability, and contributes to a more efficient use of renewable generation,” Palamone added.
The model mirrors approaches used in energy-intensive regions such as California and Texas, where large battery systems help manage fluctuations tied to renewable energy generation.
The RT-One President recently visited Tesla’s Megafactory in Lathrop, California, where Megapacks are produced, as part of establishing the partnership. He thanked the Tesla team, including Marcel Dall Pai, Nicholas Reale, and Sean Jones, for supporting the collaboration in his LinkedIn post.
Tesla Giga Berlin growth could stall if not “free from external influences”: Elon Musk
Tesla Full Self-Driving’s newest behavior is the perfect answer to aggressive cars
