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Reminds me a little of
https://www.reddit.com/media?url=https% ... &rdt=62127
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ETH Zurich researchers taught an autonomous excavator to construct dry stone walls itself using boulders weighing several tonnes and demolition debris.
* dry stone wall construction has involved vast amounts of manual labor.
* A multidisciplinary team of ETH Zurich researchers developed a method of using an autonomous excavator to construct a dry-stone wall that is six meters high and sixty-five meters long.
4TH DECEMBER 2023
The Artificial Intelligence software ChatGPT has predicted the world will have almost entirely shifted towards veganism by 2075.
This finding follows a new study from The NPD Group regarding the future of the food industry as it becomes increasingly influenced by the dietary choices of Gen Z and Millenials, and their growing concern for the environment and animal rights.
The Daily Mail used the study as a prompt to Open AI’s ChatGPT regarding what a gradual timeline towards veganism across the world’s population might look like.
ChatGPT made a number of predictions, including the flexitarian diet being mainstream by 2027 and breakthroughs in food technology making vegan meat alternatives better and more affordable. It also foresees a shift towards plant-based agriculture, a Natalie Portman and Leonardo DiCaprio-backed Climate Action and Veganism Day, athletes like Serena Williams pushing for the plant-based diet to become more mainstream, and then animal farming almost collapsing entirely.
bruhThe Daily Mail
I know the dreaded newspaper that I try not to associate myself with but its from Plant Based News which I sometimes read and share if I can.
Time_Traveller wrote: ↑Tue Dec 05, 2023 6:41 pmAI Predicts Most Of World Will Be Vegan By 2075
4TH DECEMBER 2023
ChatGPT
To be fair various personalities do that for various reasons, but a multimodal Claude would be fairly certain given that's the direction the big companies are moving in to stay current.
In recent years, roboticists and computer scientists have introduced various new computational tools that could improve interactions between robots and humans in real-world settings. The overreaching goal of these tools is to make robots more responsive and attuned to the users they are assisting, which could in turn facilitate their widespread adoption.
Researchers at Leonardo Labs and the Italian Institute of Technology (IIT) in Italy recently introduced a new computational framework that allows robots to recognize specific users and follow them around within a given environment. This framework, introduced in a paper published as part of the 2023 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), allows robots re-identify users in their surroundings, while also performing specific actions in response to hand gestures performed by the users.
"We aimed to create a ground-breaking demonstration to attract stakeholders to our laboratories," Federico Rollo, one of the researchers who carried out the study, told Tech Xplore. "The Person-Following robot is a prevalent application found in many commercial mobile robots, especially in industrial environments or for assisting individuals. Typically, such algorithms use external Bluetooth or Wi-Fi emitters, which can interfere with other sensors and the user is required to carry."