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During a conference this week, Tesla CEO Elon Musk reiterated claims that the Full Self-Driving (FSD) beta is nearing higher levels of autonomy. The statements echo recent details learned from previews of a new Musk biography, highlighting the FSD system’s many developments in the last several months alone.

Musk was featured in an interview during the All-In Podcast’s 2023 Summit held on Wednesday, during which he discussed topics like Starlink, X, China, artificial intelligence, and more. Among the topics covered was a brief outro on the FSD beta, which he says is “very close” to becoming safer than a human driver without being monitored.

“Yeah, I think it’s getting very close to being in a situation where, even if there’s no human oversight or intervention, that the probability of a safe journey is higher with FSD and no supervision — like even if you’re asleep in the car — than if a person is driving. We’re very close to that,” Musk said on a video call into the summit.

Researchers unravel the mysteries of smell using machine learning. Their AI model has achieved human-level skill in describing how certain chemicals will smell, closing a critical gap in the scientific understanding of olfaction.

Beyond advancing our comprehension of smell, this technology could lead to breakthroughs in the fragrance and flavor industries, and even help create new functional scents like mosquito repellents. The study validates a first-of-its-kind data-driven map of human olfaction, which correlates chemical structure to odor perception.


Summary: Researchers unravel the mysteries of smell using machine learning. Their AI model has achieved human-level skill in describing how certain chemicals will smell, closing a critical gap in the scientific understanding of olfaction.

15 companies, ranging from Photoshop creator Adobe to ChatGPT maker OpenAI, have now taken the voluntary commitments.

Eight tech companies, including Salesforce and Nvidia, are signing on to the White House’s voluntary artificial intelligence pledge, joining a roster of prominent firms that have agreed to mitigate the risks of AI, as Washington policymakers continue to debate new regulation of the emerging technology.

Fifteen of the most influential companies in the United States have now taken the commitments, which include a promise to develop technology to identify AI-generated images and a vow to share data about safety with the government and academics.

New participants include IBM, … More.


The new UAV features increased payload capacity, flight time, and a long-range resilient communications kit.

Drones have become an irreplaceable piece of technology to carry out various essential activities in fields like construction, defense, aerial photography, marketing, delivery, agriculture, and rescue, among others.

Firms are making massive strides in improving their versions of drones to cater to more operational requirements. To that extent, US-based Andruil Industries’ popular Ghost drone will get an update that features increased payload and longer flying time. Ghost is classified as a group 2 UAV, as they weigh less than 55 lbs (24 kg) and operate below 3,500 feet.

The LEV-2 robot will separate from Japan’s SLIM lunar lander and capture images of the spacecraft and the landing zone.

If all goes according to plan, Japan’s SLIM lunar lander, launched aboard an H-2A rocket on September 6, will be the first Japanese spacecraft to perform a soft landing on the lunar surface.

Once there, it will deploy an innovative robot explorer called the Lunar Excursion Vehicle 2 (LEV-2). LEV-2 is a small, spherical, metallic object a little larger than a tennis ball.

Microsoft has added a new feature to its Microsoft Teams via Microsoft 365 Roadmap. The feature, the “Teams AI library” (Feature ID: 130662), was announced on September 12, 2023.

The new Teams AI library tool is meant to help developers make chat apps for Microsoft Teams that can have more natural conversations. It does this by making it simpler to create chatbots, message features, and interactive elements called Adaptive Cards.

Additionally, the Teams AI library can also assist in moving existing chatbots and message features to work smoothly with advanced language models. This makes it easier for these chat apps to use powerful language technology.

Normally, when we think of a rolling object, we tend to imagine a torus (like a bicycle wheel) or a sphere (like a tennis ball) that will always follow a straight path when rolling. However, the world of mathematics and science is always open to exploring new ideas and concepts. This is why researchers have been studying shapes, like oloids, sphericons and more, which do not roll in straight lines.

All these funky shapes are really interesting to researchers as they can show us new ways to move objects around smoothly and efficiently. For example, imagine reducing the energy required to make a toy robot move, or mixing ingredients more thoroughly with a unique-looking spoon. While these peculiar shapes have been studied before, scientists have now taken it a step further.

Consider a game where you draw a on a tilted table—similar to tilting a pinball table to make the ball go in a particular direction. Now, try to come up with a 3D object that, when placed at the top of the table, will roll down and exactly follow that path, instead of just going straight down. There are a few other rules of this game: the table needs to be inclined slightly (and not too much), there should be no slipping during rolling, and the initial orientation of the object can be chosen at launch. Plus, the path you draw must never go uphill and must be periodic. It must also consist of identical repeating segments—somewhat like in music rhythm patterns.