We aim to inform readers not only about events in the Bitcoin industry, but also about developments in related tech spheres \u2014 cybersecurity and the world of artificial intelligence (AI).<\/p>\n
ForkLog AI<\/a> has gathered the most important AI news from the past week.<\/p>\n The Stanford Institute for Human-Centered AI, in a report for 2023 on AI trends, published<\/a> its findings.<\/p>\n The 386-page document analyzes foundational models. It also contains information on the environmental impact of AI systems, training models under the K-12 system, and public opinion of the technology.<\/p>\n Key takeaways from the report:<\/p>\n In the coming days, Google will move<\/a> Bard from the LaMDA language model to the more powerful PaLM algorithm.<\/p>\n According to Sundar Pichai, the update will give the chatbot greater capabilities, whether in logical reasoning, code writing, or solving mathematical problems. Users will soon see progress, he added.<\/p>\n LaMDA has 137 billion parameters, while PaLM has 540 billion. The company is upgrading Bard with a model built on a larger data set and more diverse responses.<\/p>\n Pichai noted that he is not worried about Google’s AI progress relative to rivals. The company deliberately launched the chatbot on the less powerful LaMDA \u2014 which requires modest compute resources \u2014 enabling more users to try it and provide feedback.<\/p>\n He said the company will not launch a more powerful model until it is confident it can \u201cmove quickly to take the necessary actions.\u201d<\/p>\n Wikipedia founder Jimmy Wales is considering<\/a> using AI to write articles.<\/p>\n He says large language models (LLMs) like GPT can compare materials, seek contradictory viewpoints, and identify parts of pages that require authors’ rewrites. Algorithms could also draft potentially useful articles using information from the internet, the entrepreneur added.<\/p>\n Wales said that using AI \u201cto triple the number of published articles\u201d would increase Wikipedia\u2019s current costs by less than $1,300 per year.<\/p>\n But he noted the tendency of algorithms to hallucinate and fabricate facts. He said the reputation of an online encyclopedia hinges on accuracy, and this is a major challenge for LLMs. It is also unclear whether AI will resolve or worsen systemic, unconscious bias among authors, he added.<\/p>\n Meta unveiled<\/a> an AI model Segment Anything (SAM) for detecting objects previously unseen in images and video. A demo is available<\/a> on the company’s site.<\/p>\n The algorithm is trained on the SA-1B dataset, containing 11 million images and 1.1 billion masks. Meta said this is the largest segmentation dataset in history.<\/p>\n\n
Researchers publish a global AI trends report<\/strong><\/h2>\n
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Google will move Bard to the PaLM language model<\/strong><\/h2>\n
“Wikipedia” to employ AI to generate articles<\/strong><\/h2>\n
Meta unveiled an image and video segmentation tool<\/strong><\/h2>\n