Cerro de Pasco Resources Common Shares Begin Trading on the Lima Stock Exchange
This milestone forms part of CDPR's strategy to broaden its presence in Latin America and increase visibility among regional investors. The Company's primary listing remains on the TSX Venture Exchange (TSXV).
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VERSES® Shareholder Update Letter
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ARTICLE CONTINUES BELOW While some types of AI have become mainstream seemingly overnight, in our view, Enterprise AI adoption has, so far, been slow, especially for important tasks such as running a business, driving a car or logistics. In our view, slower than expected adoption isn't because of a lack of interest from large companies, but rather it is because Large Language Models (LLMs), while an incredible achievement, do not really perform tasks and are not reliable for many purposes. VERSES approach is based in science We believe our strategy is different and unique from other AI companies, so it's natural that many people still need to understand the full scope and application of what we are developing here at VERSES. We drew inspiration from human intelligence for a simple reason. Evolution has invested millions of years into brains and bodies that are efficient at thriving in our world. That's why, for example, a human brain operates on only 20 Watts. And it is why we can quickly adapt to a changing environment. Karl Friston, often listed as one of the world's most cited neuroscientist, is our Chief Scientist. He and others have, over the last few decades, described this process as 'active inference'. The brain models the world and checks it against what it senses. To do this, the brain runs experiments. It assesses how well its model works. Then, it tests this model in the real world. Based on the results, it decides whether to keep the current model or update it to better match reality. ARTICLE CONTINUES BELOW ARTICLE CONTINUES BELOW This process has been validated in multiple examples in numerous peer-reviewed journals demonstrating how actual neurons perform this process1, but people have generally believed these approaches are impossible to translate to computer science at a scalable level. Proof that it's working: Proof #1: AXIOM We recently unveiled what we believe is the world's first digital brain, AXIOM. 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Forward-looking information and forward-looking statements are often identified by the words 'may', 'would', 'could', 'should', 'will', 'intend', 'plan', 'anticipate', 'believe', 'estimate', 'expect' or similar expressions. The forward–looking statements and information are based on certain key expectations and assumptions made by the management of the Company. As a result, there can be no assurance that such plans will be completed as proposed or at all. Such forward-looking statements are based on a number of assumptions of management. Although management of the Company believes that the expectations and assumptions on which such forward-looking statements and information are based are reasonable, undue reliance should not be placed on the forward–looking statements and information since no assurance can be given that they will prove to be correct. 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The forward–looking statements and information contained in this news release are made as of the date hereof and no undertaking is given to update publicly or revise any forward–looking statements or information, whether as a result of new information, future events or otherwise, unless so required by applicable securities laws. The forward-looking statements or information contained in this news release are expressly qualified by this cautionary statement. 1 For instance Canonical neural networks perform active inference
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