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Mar 17, 2022

How Koenigsegg’s 2.0-Liter No-Camshaft Engine Makes 600 Horsepower

Posted by in category: energy

Koenigsegg calls the engine the Tiny Friendly Giant, or TFG for short, and it’s an apt name. The TFG is a 2.0-liter twin-turbo three-cylinder that makes 600 horsepower. At 300 horsepower per liter, the TFG’s specific output is far higher than anything ever seen in a road car. Koenigsegg says this is “light-years ahead of any other production three-cylinder today,” and he’s not wrong: The next most powerful triple is the 268-hp engine in the Toyota GR Yaris.

What’s even more unusual is that the TFG doesn’t have a camshaft. Instead, the engine uses technology from Koenigsegg’s sister company, Freevalve, with pneumatic actuators opening and closing each valve independently. I called company founder Christian von Koenigsegg to learn exactly how this unconventional engine works.

The Tiny Friendly Giant was designed specifically for the Gemera. Koenigsegg wanted something compact and lightweight, with big horsepower. Koenigsegg also decided to reverse the setup found in the hybrid Regera, where internal combustion provides the bulk of the total power output. In the Gemera, the majority of the power comes from electric motors, with the Gemera contributing some driving force as well as charging the hybrid drivetrain’s batteries.

Continue reading “How Koenigsegg’s 2.0-Liter No-Camshaft Engine Makes 600 Horsepower” »

Mar 17, 2022

NASA extends its Ingenuity helicopter mission to scout an ancient delta on Mars

Posted by in category: space

Mar 17, 2022

Battery technology and recycling alone will not save the electric mobility transition from future cobalt shortages

Posted by in categories: materials, sustainability

Mar 17, 2022

An NFT Group Bought a Copy of Dune for $3.04 Million Thinking It’s the Copyright

Posted by in category: blockchains

Mar 17, 2022

Tesla fires employee who posted YouTube videos of Full Self-Driving accident

Posted by in categories: robotics/AI, transportation

The ex-Tesla worker was reportedly laid off for sharing play-by-play footage of an FSD slip-up. Always be careful what you post online.


Bernal was fired and lost beta access after video review showed a minor collision.

Continue reading “Tesla fires employee who posted YouTube videos of Full Self-Driving accident” »

Mar 17, 2022

Quantum Computing Breakthrough: Scientists Sent the First ‘Landline’ Message

Posted by in categories: computing, quantum physics

Mar 17, 2022

Russia May Have Used an Artificial Intelligence Killer Drone in Ukraine According to the Bulletin of the Atomic Scientists

Posted by in categories: drones, robotics/AI

A downed drone employing AI raises the question of what the international community needs to do to ban such weapons.

Mar 17, 2022

Tesla Raises Prices Again: It Won’t Be the Last Time

Posted by in categories: sustainability, transportation

For the second time in less than a week, Tesla has raised the price of its vehicles. Only this time, we see a significant hike across the entire lineup. The Model 3, its most affordable EV, cost around $42k at the end of 2021 but now starts at $47,000.

Mar 17, 2022

Exocortex: Thought this might be of some interest

Posted by in categories: biological, computing, neuroscience, transhumanism

An is an external information processing system that augments the brain’s biological high-level cognitive processes.

An individual’s would be comprised of external memory modules 0, processors 0, IO devices and software systems that would interact with, and augment, a person’s biological brain. Typically this interaction is described as being conducted through a direct brain-computer interface 0, making these extensions functionally part of the individual’s mind.

Individuals with significant exocortices can be classified as transhuman beings.

Mar 17, 2022

Mathematical paradoxes demonstrate the limits of AI

Posted by in categories: information science, mathematics, robotics/AI

Humans are usually pretty good at recognizing when they get things wrong, but artificial intelligence systems are not. According to a new study, AI generally suffers from inherent limitations due to a century-old mathematical paradox.

Like some people, AI systems often have a degree of confidence that far exceeds their actual abilities. And like an overconfident person, many AI systems don’t know when they’re making mistakes. Sometimes it’s even more difficult for an AI system to realize when it’s making a mistake than to produce a correct result.

Researchers from the University of Cambridge and the University of Oslo say that instability is the Achilles’ heel of modern AI and that a mathematical paradox shows AI’s limitations. Neural networks, the state of the art tool in AI, roughly mimic the links between neurons in the brain. The researchers show that there are problems where stable and accurate exist, yet no algorithm can produce such a . Only in specific cases can algorithms compute stable and accurate neural networks.