Roman Yampolskiy is an AI safety & security researcher. He’s a tenured associate professor at the University of Louisville and the director of the Cyber Security Laboratory.
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Deepmind takes a step towards general AI!
Two Minute Papers
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AI News includes a breakthrough in brain computer interface tech that allows brain to brain communication between two operators, a modular, stackable AI chip for edge computing and consumers, and a spiking neuron array to allow robots to sense size, temperature, and weights when touching objects.
AI News Timestamps:
0:00 BCI Enables Brain-To-Brain Communication.
2:58 Edge Computing Modular AI Chip.
6:10 Robot Touch For Size, Temperature, & Weights.
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Summary: Artificial intelligence can understand complex words and concepts by representing the meaning of words in a similar way that correlates with human judgments.
Source: UCLA
In “Through the Looking Glass,” Humpty Dumpty says scornfully, “When I use a word, it means just what I choose it to mean — neither more nor less.” Alice replies, “The question is whether you can make words mean so many different things.”
A University of Minnesota research team has made mind-reading possible through the use of electronics and AI.
Researchers at the University of Minnesota Twin Cities have created a system that enables amputees to operate a robotic arm using their brain impulses rather than their muscles. This new technology is more precise and less intrusive than previous methods.
The majority of commercial prosthetic limbs now on the market are controlled by the shoulders or chest using a wire and harness system. More sophisticated models employ sensors to detect small muscle movements in the patient’s natural limb above the prosthetic. Both options, however, can be difficult for amputees to learn how to use and are sometimes unhelpful.
Science and technology have advanced incredibly in the 21st Century. It’s easier now than ever to travel to or talk to people who live halfway across the world, and we now are more connected to advanced technology than anyone could have thought possible. Science fiction, in the 20th and 21st Centuries, has strived to anticipate just how far this technological advancement would go, and what the consequences of that would be.
Of course, a lot of old sci-fi movies included tropes about the 21st Century that proved to be wrong. Indeed, it was probably too optimistic, in hindsight, to assume we would get flying cars before the end of the 90s or that the 2000s would have lifelike androids running around. Despite these incorrect predictions, though, there are some movies that were eerily accurate, or even predicted we would have technology later than we eventually got access to. In some cases, sci-fi has even been the inspiration for invention, with people wanting to emulate what they saw on television. These are some predictions, made by older sci-fi movies, that turned out to be on the money.
A Google engineer who was suspended after he said the company’s artificial intelligence chatbot had became sentient says he based the claim on his Christian faith.
Blake Lemoine, 41, was placed on paid leave by Google earlier in June after he published excerpts of a conversation with the company’s LaMDA chatbot that he claimed showed the AI tool had become sentient.
Now, Lemoine says that his claims about LaMDA come from his experience as a “Christian priest” — and is accusing Google of religious discrimination.
GPT-3 is a neural network machine learning model trained using internet data to generate any type of text. Developed by OpenAI, it applies machine learning to generate various types of content, including stories, code, legal documents, and even translations based on just a few input words. GPT-3 has been getting a lot of attention for the seemingly unlimited range of possibilities it offers. GPT-3 is also being used for automated conversational tasks, responding to any text. So here mentioned the 10 experiments with GPT-3.
Interviewing AI: Using the Chat preset within GPT-3 Playground you can ask the current entity about its personality. And while of your dialog, the GPT-3’s personality emerges. Note that after 2048 tokens there’s a hard cut, and you never will encounter the same personality setting again. It imitates a human person worrying about data privacy.
Doctor’s Assistant: The AI has been fed with patient files, describing their profile and symptoms in a few lines. The AI spontaneously makes suggestions of what the disease could be. GPT-3 got away with an impressive 8 out of 10 correct guesses. This could become amazing support to doctors, and a great tool to investigate.
