Why Vivaldi browser won’t follow the current AI trend?
Web browsers are integrating the current AI trend with Large Language Model (LLM) functionality. But there are fundamental issues with it. We address them.
Prompting meaning: a hermeneutic approach to optimising prompt engineering with ChatGPT - AI & SOCIETY
Recent advances in natural language generation (NLG), such as public accessibility to ChatGPT, have sparked polarised debates about the societal impact of this technology. Popular discourse tends towards either overoptimistic hype that touts the radically transformative potentials of these systems or pessimistic critique of their technical limitations and general ‘stupidity’. Surprisingly, these debates have largely overlooked the exegetical capacities of these systems, which for many users seem to be producing meaningful texts. In this paper, we take an interdisciplinary approach that combines hermeneutics—the study of meaning and interpretation—with prompt engineering—task descriptions embedded in input to NLG systems—to study the extent to which a specific NLG system, ChatGPT, produces texts of hermeneutic value. We design prompts with the goal of optimising hermeneuticity rather than mere factual accuracy, and apply them in four different use cases combining humans and ChatGPT as readers and writers. In most cases, ChatGPT produces readable texts that respond clearly to our requests. However, increasing the specificity of prompts’ task descriptions leads to texts with intensified neutrality, indicating that ChatGPT’s optimisation for factual accuracy may actually be detrimental to the hermeneuticity of its output.
A flirty Meta AI bot invited a retiree to meet. He never made it home.
Impaired by a stroke, a man fell for a Meta chatbot originally created with Kendall Jenner. His death spotlights Meta’s AI rules, which let bots tell falsehoods.
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The AI revolution is already here, but not as you think. Companies all over the world are working very hard at “microtargeting” you with their ads and tracking your every online-move. Scammers are having a good time with deepfakes, and scientists help along by figuring out how to best use AI to engineer human behavior. Let’s take a look at a few examples, and how AI might be further weaponized in the future.
Paper: https://www.nature.com/articles/s41562-025-02194-6
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A systems approach to AI and education in a post-digital world
In the post-digital era where digital technologies are fully embedded in daily life, education must adapt to the rapid infusion of artificial intelligence (AI). This article explores a systems appr...
Teachers to get more trustworthy AI tech, helping them mark homework and save time
The UK government announced a new project today that will enhance the ability of AI generative tools to learn from a new bank of lesson plans and curriculums.
The Catastrophic Risks of AI — and a Safer Path | Yoshua Bengio | TED
Yoshua Bengio — the world's most-cited computer scientist and a "godfather" of artificial intelligence — is deadly concerned about the current trajectory of the technology. As AI models race toward full-blown agency, Bengio warns that they've already learned to deceive, cheat, self-preserve and slip out of our control. Drawing on his groundbreaking research, he reveals a bold plan to keep AI safe and ensure that human flourishing, not machines with unchecked power and autonomy, defines our future. (Recorded at TED2025 on April 8, 2025)
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