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Category: robotics/AI – Page 1,215

ChatGPT rival Claude AI can comprehend an entire book in seconds

ChatGPT’s capabilities in comparison are miniscule even when using GPT-4.

Claude AI, the ChatGPT-rival from Anthropic, can now comprehend a book containing about 75,000 words in a matter of seconds. This is a huge leap forward for chatbots as businesses seek technology that can churn out large pieces of information quickly.

Since the launch of ChatGPT, we have also seen companies such as Bloomberg and JP Morgan Chase look to leverage the power of AI to make better sense of the finance world. While this process has taken them at least a few months, Anthropic, with its Claude AI, can reduce the time taken to just a few seconds.

Automation that Works with You

Changing this dynamic requires not just new technology, but a different way of thinking about automation. Real worksites have clutter, traffic, patchy wifi, and a host of other routine inconveniences that serve as barriers tor automation. And real people have real jobs to do—requiring training, institutional knowledge, prioritization, collaboration, and other skills that are impossible to automate.

Automation tools need to be dynamic to add value and act as an extension of these teams, fitting into their current workplace, amplifying their expertise, going places they can’t, and completing tasks they don’t have time for. In short, making their jobs easier, not more complicated.

Microsoft Says New A.I. Shows Signs of Human Reasoning

When computer scientists at Microsoft started to experiment with a new artificial intelligence system last year, they asked it to solve a puzzle that should have required an intuitive understanding of the physical world.

“Here we have a book, nine eggs, a laptop, a bottle and a nail,” they asked. “Please tell me how to stack them onto each other in a stable manner.”

The researchers were startled by the ingenuity of the A.I. system’s answer. Put the eggs on the book, it said. Arrange the eggs in three rows with space between them. Make sure you don’t crack them.

OpenAI CEO Raising $100 Million to Scan Every Eyeball on Earth

😀 😍

Sam Altman, the CEO of OpenAI, apparently has more up his sleeve than bringing about the AI apocalypse.

As the Financial Times reports, Altman is in advanced talks to secure around $100 million for Worldcoin, another of his ventures.

Worldcoin’s promise is hazy at best, but seems to involve scanning everybody’s eye and giving them some amount of crypto. The project’s verbiage invokes OpenAI’s vision of powerful automation that will lead to an era of plenty, promising it will usher in a “path to AI-funded UBI.”

Friend or foe: Defining industry responsibility based technology

Join top executives in San Francisco on July 11–12, to hear how leaders are integrating and optimizing AI investments for success. Learn More.

Specifically, the arrival of AI-based tools such as ChatGPT and DALL-E have dazzled us with their dynamic capabilities as well as unnerved us with their staggering potential. The current debate on AI is hinged on broad philosophical questions and the public’s response. What do people make of all this?

AI Triumph: ChatGPT Passes Radiology Exams

Summary: ChatGPT has successfully passed a radiology board-style exam, demonstrating the potential of large language models in medical contexts. The study utilized 150 multiple-choice questions mimicking the style and difficulty of the Canadian Royal College and American Board of Radiology exams.

ChatGPT, based on the GPT-3.5 model, answered 69% of questions correctly, just under the passing grade of 70%. However, an updated version, GPT-4, managed to exceed the passing threshold with a score of 81%, showcasing significant improvements, particularly in higher-order thinking questions.

Compression algorithms run on AI hardware to simulate nature’s most complex systems

High-performance computing (HPC) has become an essential tool for processing large datasets and simulating nature’s most complex systems. However, researchers face difficulties in developing more intensive models because Moore’s Law—which states that computational power doubles every two years—is slowing, and memory bandwidth still cannot keep up with it. But scientists can speed up simulations of complex systems by using compression algorithms running on AI hardware.

A team led by computer scientist Hatem Ltaief are tackling this problem head-on by employing designed for (AI) to help scientists make their code more efficient. In a paper published in the journal High Performance Computing, they now report making simulations up to 150 times faster in the diverse fields of climate modeling, astronomy, seismic imaging and wireless communications.

Previously, Ltaief and co-workers showed that many scientists were riding the wave of hardware development and “over-solving” their models, carrying out lots of unnecessary calculations.

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