How many humans does it take to make tech seem human? Millions.
Inside the AI Factory
Posted in robotics/AI
Category: robotics/AI – Page 916
When I’m asked to check a box to confirm I’m not a robot, I don’t give it a second thought—of course I’m not a robot. On the other hand, when my email client suggests a word or phrase to complete my sentence, or when my phone guesses the next word I’m about to text, I start to doubt myself. Is that what I meant to say? Would it have occurred to me if the application hadn’t suggested it? Am I part robot? These large language models have been trained on massive amounts of “natural” human language. Does this make the robots part human?
AI chatbots are new, but public debates over language change are not. As a linguistic anthropologist, I find human reactions to ChatGPT the most interesting thing about it. Looking carefully at such reactions reveals the beliefs about language underlying people’s ambivalent, uneasy, still-evolving relationship with AI interlocutors.
ChatGPT and the like hold up a mirror to human language. Humans are both highly original and unoriginal when it comes to language. Chatbots reflect this, revealing tendencies and patterns that are already present in interactions with other humans.
I don’t know about you, but any and all advancements with artificial intelligence and/or robotics makes me at least a little bit nervous.
I’ve seen a lot of movies and read even more books, and in the stories where the computers become smarter and more capable than the human beings, things never work out that well for the latter.
Now there’s a new fastest robot in town, and it can run the 100-meter dash faster than any robot that has come before it.
Ever since the release of OpenAI’s new chatbot ChatGPT in November, investors have been enamored with A.I. and its potential to revolutionize the world’s economy. Hopes for a future with increased productivity and lower costs as A.I. tools are rolled out to the masses have helped to lift markets in 2023 despite stubborn inflation, rising interest rates, and consistent recession predictions from economists. After dropping more than 30% in 2022, the tech-heavy Nasdaq Composite has recovered nearly all of its losses, gaining over 28% year to date, and the S&P 500 is now up more than 12%.
While some on Wall Street question whether stocks can continue their run of form in the second half of the year, pointing to stretched valuations in the Big Tech names and A.I. plays that have led the rebound so far, Wedbush’s top tech analyst Dan Ives argues it’s just the beginning of the “A.I. gold rush.”
“Many of the tech skeptics will point to today as a ‘1999 moment,’ à la on the verge of the dotcom bubble/collapse, given the significant move in tech valuations. We strongly disagree,” the veteran analyst wrote in a Monday research note. “While valuations in tech will be front and center, we continue to believe A.I. is driving the tech sector to a ‘1995 moment’ with a long runway of growth ahead that we have not seen since the 1990s.”
When Max More writes, it’s always worth paying attention.
His recent article Existential Risk vs. Existential Opportunity: A balanced approach to AI risk is no exception. There’s much in that article that deserves reflection.
Nevertheless, there are three key aspects where I see things differently.
The project has been funded by the European Space Agency.
The Danish Technological Institute (DTI) has been selected by the European Space Agency (ESA) to engineer a smart skin for robot arms to be used in space.
This is according to a report by Printed Electronics published on Thursday…
300ad/iStock.
The development could result in many more general-purpose robots being developed at a faster rate.
Robots today can do a variety of tasks as long as they are trained on real-world data. But what if they could bypass this step? It would result in many more general-purpose robots being developed at a faster rate.
Google’s DeepMind has introduced a self-improving AI model called RoboCat that may just be the key to machines that can self-generate new training data to improve their technique without too much human interference.
“This year, we’re introducing new features that use AI to help fans gain more insight and access commentary through our match highlights videos.”
Wimbledon, one of the most prestigious tennis tournaments in the world, is set to revolutionize its coverage this year by introducing artificial intelligence-powered commentary and analysis, according to a press release. The All England Club has partnered with tech giant IBM to offer fans a unique immersive experience with AI-generated audio commentary and captions in online highlights videos.
IBM, pioneers of AI-curated video highlights which earned the IBM Consulting team an Emmy Award, trained its bleeding-edge Watson AI platform in tennis… More.
Dmytro Aksonov/iStock.
Note: June 23 is Alan Turing’s birth anniversary.
Alan Turing wore many scientific hats in his lifetime: a code-breaker in World War II, a prophetic figure of artificial intelligence (AI), a pioneer of theoretical biology, and a founding figure of theoretical computer science. While the former of his roles continue to catch the fancy of popular culture, his fundamental contribution to the development of computing as a mathematical discipline is possibly where his significant scientific impact persists to date.
You are now entering the AItopia
Posted in futurism, robotics/AI
Launching today, AItopia will explore AI’s impact on design, architecture and humanity both today and in the future. Dezeen features editor Nat Barker introduces the series.
The future has arrived. Having been depicted countless times in sci-fi literature and cinema over the decades, machines that can think for themselves are becoming a reality.
Artificial intelligence (AI) – that is, computers or contraptions performing tasks that would usually require a human brain – is a concept that has captured the shared imagination in some form since ancient times. But it was the British polymath Alan Turing who first seriously addressed the matter in his seminal 1950 paper Computing Machinery and Intelligence. “I propose to consider the question, ‘Can machines think?’” Turing wrote.