Lifeboat Foundation

📰 Subscribe to UnHerd today at: http://unherd.com/joinUnHerd’s Flo Read meets Nick Bostrom. In the last year, artificial intelligence has progressed from a s…

Head to head comparison of the two top robotic companies that seem to be the most advanced at this time: Figure 1 and Tesla’s Optimus. Robotics expert Dr. Scott Walter does a deep dive comparison. My website: https://www.herbertong.com Get Free TESLA Milestone Tables Check out the MOST comprehensive library of resources for the $TSLA Investor Scott Walter is an Aerospace Engineer with a Ph.D. in Mechanical Engineering and has co-founded two robotics companies.

Tesla CEO Elon Musk has alluded to an upcoming “tap to park” feature for the automaker’s Full Self-Driving (FSD) beta. While it isn’t clear when it’s expected to become available, some have already pointed out how useful such a feature could be.

On Friday, Musk responded to a post on X saying that Tesla is developing a feature in which the car identifies potential parking space options, letting users tap the one they want to use. Upon doing so, the driver will then be able to leave the vehicle before the vehicle parks in the selected space.

The statement came in response to another post claiming that a 360-degree bird’s eye view would be irrelevant in a world of self-driving vehicles, as the driver wouldn’t need to do anything at all for the vehicle to locate and park in a specific spot.

French startup Mistral AI has released its new language model Mixtral 8x7B via a torrent link. Mixtral is a mixture-of-experts model, following an architecture that OpenAI is rumored to be using for GPT-4, but on a much larger scale.

There are no benchmarks, blog posts, or articles about the model yet, but Mistral-7B — the first version of Mistral AI — generally performed very well and was quickly adopted by the open-source community. Mistral is thought to have used the MegaBlocks MoE library for training. The Paris-based company was recently valued at nearly $2 billion.

Rotor Technologies is now in production on a full-size unmanned helicopter for civilian use. Based on the Robinson R44 Raven II, the R550X flies for more than three hours, at speeds up to 150 mph (241 km/h), carrying up to 1,200 lb (550 kg) of cargo.

According to Torklaw, helicopters have about 9.84 crashes per 100,000 hours of flight time. That’s curiously low, given their reputation and the fact that “general aircraft” have 7.28 crashes per 100,000 hours. But still, they’re notoriously tricky to fly, and there are a growing number of projects attempting to make them much easier, using simple fly-by wire joystick controls, or even simpler one-finger tablet control schemes.

Continue reading “Rotor R550X: A full-size autonomous helicopter anyone can buy” »

This listicle explores four ways that AI and ML are accelerating the biopharmaceutical lifecycle and two big ways that companies are starting to think about their data differently.

Researchers have demonstrated a programmable nano-scale robot, made from a few strands of DNA, that’s capable of grabbing other snippets of DNA, and positioning them together to manufacture new UV-welded nano-machines – including copies of itself.

The robots, according to New Scientist, are created using just four strands of DNA, and measure just 100 nanometers across, so about a thousand of them could squeeze up into a line the width of a human hair.

The team, from New York University, the Ningbo Cixi Institute of Biomechanical Engineering, and The Chinese Academy of Sciences, says the robots surpass previous efforts, which were only able to assemble pieces into two-dimensional shapes. The new bots are able to use “multiple-axis precise folding and positioning” to “access the third dimension and more degrees of freedom.”

Earlier this week, Google launched its Gemini AI platform that ‘wowed’ the tech world. A video posted on YouTube showcased the new AI model’s capabilities to process and reason with text, images, audio, video, and code. However, it has since come to light that Google staged the hands-on video demonstration of Gemini AI.

Bloomberg reports that Google modified interactions with Gemini AI to create the demonstration video. The video is titled “Hands-on with Gemini: Interacting with Multimodal AI.”

Continue reading “Google Admits Gemini AI Promotional Video Was Fabricated” »

LONDON (AP) — European Union negotiators clinched a deal Friday on the world’s first comprehensive artificial intelligence rules, paving the way for legal oversight of technology used in popular generative AI services like ChatGPT that has promised to transform everyday life and spurred warnings of existential dangers to humanity.

Negotiators from the European Parliament and the bloc’s 27 member countries overcame big differences on controversial points including generative AI and police use of facial recognition surveillance to sign a tentative political agreement for the Artificial Intelligence Act.

“Deal!” tweeted European Commissioner Thierry Breton, just before midnight. “The EU becomes the very first continent to set clear rules for the use of AI.”