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Showing posts with the label LARGE_LANGUAGE_MODELS

Google's implementation of AI in search reveals its flawed approach to organizing information

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From government documents to news reports, commerce, music and social interactions, much of the world’s information is now online. And Google, founded in 1998 with the mission “to organize the world’s information and make it universally accessible and useful,” is the way we access this torrent of knowledge and culture. In April 2024, Google’s search engine accounted for 90 per cent of the Canadian search market. For academics, its specialized Google Scholar and Google Books are mainstays of our research lives. However, while Google Search is essential infrastructure, Google itself is recklessly sabotaging it in socially damaging ways...... Read Full article on GretAi

The Disconnect Between Google's AI and Reality

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Google has rolled out its latest experimental search feature on Chrome, Firefox and the Google app browser to hundreds of millions of users. “AI Overviews” saves you clicking on links by using generative AI — the same technology that powers rival product ChatGPT — to provide summaries of the search results. Ask “how to keep bananas fresh for longer” and it uses AI to generate a useful summary of tips such as storing them in a cool, dark place and away from other fruits like apples. But ask it a left-field question and the results can be disastrous, or even dangerous. Google is currently scrambling to fix these problems one by one, but ...... Read Full article on GretAi

The latest AI technologies: OpenAI's GPT-5 and Meta's Llama-3

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Recently, there has been a flurry of publicity about the planned upgrades to OpenAI’s ChatGPT AI-powered chatbot and Meta’s Llama system, which powers the company’s chatbots across Facebook and Instagram. The technology behind these systems is known as a large language model (LLM). These are artificial neural networks, a type of AI designed to mimic the human brain. They can generate general purpose text, for chatbots, and perform language processing tasks such as classifying concepts, analysing data and translating text. They acquire these abilities through an intensive process known as training, where the AI system is exposed to va...... Read Full article on GretAi

Can AI really understand human thoughts? Unlikely, but there are still reasons for concern

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Earlier this year, Neuralink implanted a chip inside the brain of 29-year-old US man Noland Arbaugh, who is paralysed from the shoulders down. The chip has enabled Arbaugh to move a mouse pointer on a screen just by imagining it moving. In May 2023, US researchers also announced a non-invasive way to “decode” the words someone is thinking from brain scans in combination with generative AI. A similar project sparked headlines about a “mind-reading AI hat”. Can neural implants and generative AI really “read minds”? Is the day coming when computers can spit out accurate real-time transcripts of our thoughts for anyone to read? Such tec...... Read Full article on GretAi

In 1958, AI made a promise to create humanlike machines

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A roomsize computer equipped with a new type of circuitry, the Perceptron, was introduced to the world in 1958 in a brief news story buried deep in The New York Times. The story cited the U.S. Navy as saying that the Perceptron would lead to machines that “will be able to walk, talk, see, write, reproduce itself and be conscious of its existence.” More than six decades later, similar claims are being made about current artificial intelligence. So, what’s changed in the intervening years? In some ways, not much. The field of artificial intelligence has been running through a boom-and-bust cycle since its early days. Now, as the field...... Read Full article on GretAi

The Pros and Cons of Using Diagnosis Apps

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If health is a fundamental human right, health-care delivery must be improved globally to achieve universal access. However, the limited number of practitioners creates a barrier for all health-care systems. Approaches to health-care delivery driven by artificial intelligence (AI) are poised to fill this gap. Whether in urban hospitals or in rural and remote homes, AI has the reach that health-care professionals cannot hope to achieve. People seeking health information can obtain it quickly and conveniently. For health care to be effective, patient safety must remain a priority. The news is filled with examples of novel applications ...... Read Full article on GretAi