Lifeboat Foundation

A wave of consumer enthusiasm following the launch of OpenAI’s viral ChatGPT has prompted some major tech companies to pour resources into AI development and launch new AI-powered products.

But not everyone is feeling optimistic about the highly intelligent technology.

Last month, several high-profile tech figures, including Elon Musk and Steve Wozniak, threw their weight behind an open letter calling for a pause on developing advanced AI. The letter cited various concerns about the consequences of developing tech more powerful than OpenAI’s GPT-4, including risks to democracy.

Google’s CEO Sundar Pichai said AI could become a “super-powered assistant” to humans in the future, in an interview on CBS’ “60 Minutes.”

The New York Times has a big piece detailing Google’s “shock” and “panic” when Samsung recently floated the idea of switching its smartphones from Google Search to Bing. After being the butt of jokes for years, Bing has been seen as a rising threat to Google thanks to Microsoft’s deal with OpenAI and the integration of the red-hot ChatGPT generative AI. Now, according to the report, one of Android’s biggest manufacturers is threatening to switch its new phones away from Google Search.

Of course, preinstalled search deals are more about cash than quality. Google pays billions every year to be the default search engine on popular products with deals framed as either “revenue sharing” or “traffic acquisition fees.” Google reportedly pays as much as $3.5 billion per year to be the default search on Samsung phones, while it pays Apple $20 billion per year to be the default search on iOS and macOS. The report notes that the Samsung/Google search contract “is under negotiation, and Samsung could stick with Google.”

These chatbots have the ability to perform multiple tasks, from writing code and emails, to creating trip itineraries and business proposals.

A new bio-inspired sensor can recognize moving objects in a single frame from a video and successfully predict where they will move to. This smart sensor, described in a Nature Communications paper, will be a valuable tool in a range of fields, including dynamic vision sensing, automatic inspection, industrial process control, robotic guidance, and autonomous driving technology.

Current motion detection systems need many components and complex algorithms doing frame-by-frame analyses, which makes them inefficient and energy-intensive. Inspired by the human visual system, researchers at Aalto University have developed a new neuromorphic vision technology that integrates sensing, memory, and processing in a single device that can detect motion and predict trajectories.

At the core of their technology is an array of photomemristors, electrical devices that produce electric current in response to light. The current doesn’t immediately stop when the light is switched off. Instead, it decays gradually, which means that photomemristors can effectively “remember” whether they’ve been exposed to light recently. As a result, a sensor made from an array of photomemristors doesn’t just record instantaneous information about a scene, like a camera does, but also includes a dynamic memory of the preceding instants.

There are loopholes.

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Continue reading “I Think Faster Than Light Travel is Possible. Here’s Why” »

Year 2022 face_with_colon_three

AI models that interact more effectively, precisely, and safely are being developed as a result of technological developments. Large language models (LLMs) have excelled in a variety of tasks in recent years, including question-answering, summarizing, and conversation. Dialogue is an activity that especially interests scholars since it allows for flexible and dynamic communication.

However, LLM-powered chat agents frequently provide incorrect or made-up content, discriminative language, or advocate unsafe conduct. Researchers may be able to create safer conversation bots by learning from user remarks. Based on input from study participants, new strategies for training conversation bots that show promise for a safer system can be examined using reinforcement learning.

Continue reading “DeepMind Sparrow Is A New AGI That Is Safer And More Precise” »

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Accelerating Leadership In Quantum Information Sciences — Dr. Charles Tahan, Ph.D., Assistant Director for Quantum Information Science (QIS); Director, National Quantum Coordination Office, Office of Science and Technology Policy, The White House.

Dr. Charles Tahan, Ph.D. is the Assistant Director for Quantum Information Science (QIS) and the Director of the National Quantum Coordination Office (NQCO) within the White House Office of Science and Technology Policy (https://www.quantum.gov/nqco/). The NQCO ensures coordination of the National Quantum Initiative (NQI) and QIS activities across the federal government, industry, and academia.

Continue reading “Dr. Charles Tahan, Ph.D. — Director, National Quantum Coordination Office — OSTP, The White House” »