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Tech Transforms podcast: How one federal agency is embracing AI to support and empower its cyber workforce

Dynatrace

Is artificial intelligence (AI) here to steal government employees’ jobs? Furthermore, AI can significantly boost productivity if employees are properly trained on how to use the technology correctly. “It’s Can embracing AI really make life easier? There is a lot of concern about AI taking jobs away from humans.

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Fueling the next wave of IT operations: Modernization with generative AI

Dynatrace

Artificial intelligence, including more recent advances in generative AI , is becoming increasingly important as organizations look to modernize how IT operates. At every organization, the digital landscape is evolving rapidly, presenting IT operations teams with unique challenges.

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Cloud observability delivers on business value

Dynatrace

According to data cited by McConnell, Amazon Web Services, Microsoft Azure, and Google Cloud Platform grew in the last quarter, ending in June [2023] and jointly delivered almost $50 billion. Hypermodal AI combines three forms of artificial intelligence: predictive AI, causal AI, and generative AI. Cloud modernization.

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ChatGPT, Author of The Quixote

O'Reilly

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Specific prompts seem to “unlock” training data. Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. This is the basis of The New York Times lawsuit against OpenAI. They are dream machines.

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Copyright, AI, and Provenance

O'Reilly

Another group of cases involving text (typically novels and novelists) argue that using copyrighted texts as part of the training data for a Large Language Model (LLM) is itself copyright infringement, 1 even if the model never reproduces those texts as part of its output. What should copyright law mean in the age of artificial intelligence?

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AI Has an Uber Problem

O'Reilly

Google raised only $36 million in venture capital on its way to dominance. In the case of artificial intelligence, training large models is indeed expensive, requiring large capital investments. This is a classic example of what Janeway calls a “ productive bubble.” This has led to lawsuits and settlements.

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To understand the risks posed by AI, follow the money

O'Reilly

Given that our leading scientists and technologists are usually so mistaken about technological evolution, what chance do our policymakers have of effectively regulating the emerging technological risks from artificial intelligence (AI)? We ought to heed Collingridge’s warning that technology evolves in uncertain ways.