AI-Driven Antitrust and Competition Law: Algorithmic Collusion, Self-Learning Pricing Tools, and Legal Challenges in the US and EU

[ad_1] AI in Market Economics and Pricing Algorithms AI-driven pricing models, particularly those utilizing reinforcement learning (RL), can lead to outcomes resembling traditional collusion, fundamentally altering market dynamics. Unlike human-set strategies in oligopoly models, AI agents, like Q-learning, autonomously learn pricing strategies from data, often resulting in supra-competitive pricing due to agents’ ability to detect…

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From terabytes to insights: Real-world AI obervability architecture

[ad_1] Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Consider maintaining and developing an e-commerce platform that processes millions of transactions every minute, generating large amounts of telemetry data, including metrics, logs and traces across multiple microservices….

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Without rules, AI risks ‘trust crisis’

[ad_1] The world is in a race to deploy AI, but a leading voice in technology ethics warns prioritising speed over safety risks a “trust crisis.” Suvianna Grecu, Founder of the AI for Change Foundation, argues that without immediate and strong governance, we are on a path to “automating harm at scale.” Speaking on the…

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Mixture-of-Agents (MoA): A Breakthrough in LLM Performance

[ad_1] The Mixture-of-Agents (MoA) architecture is a transformative approach for enhancing large language model (LLM) performance, especially on complex, open-ended tasks where a single model can struggle with accuracy, reasoning, or domain specificity. How the Mixture-of-Agents Architecture Works Layered Structure: MoA frameworks organize multiple specialized LLM agents in layers. Each…

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Humanities are key to the future of AI

[ad_1] A powerhouse team has launched a new initiative called ‘Doing AI Differently,’ which calls for a human-centred approach to future development. For years, we’ve treated AI’s outputs like they’re the results of a giant math problem. But the researchers – from The Alan Turing Institute, the University of Edinburgh, AHRC-UKRI, and the Lloyd’s Register…

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