NEWS IN BRIEF: AI/ML FRESH UPDATES

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AI Outperforms Humans in Debates

Study author warns of AI's persuasive abilities in debates, posing threats to election integrity due to 'malicious actors' likely using LLM tools already. AI matches or surpasses humans in persuasion, alarming experts about potential consequences.

Debunking AI Myths

Keir Starmer's "AI opportunities action plan" aims to integrate AI into the UK, but critics argue it's just another tech bubble benefiting a select few by exploiting others' work and data. The book authors bluntly call out the potential wealth accumulation and replacement of quality services with artificial substitutes in the AI industry.

Sweet Innovation

Sendhil Mullainathan, an economist at MIT, finds pleasure in new ideas like he does in delicious cookies. His out-of-the-box thinking has led to numerous accolades and a focus on financial scarcity rooted in his childhood experiences.

Elton John Slams UK Government on AI Copyright Plans

Sir Elton John criticizes UK government for considering allowing tech firms to use protected work without permission, calling it a 'criminal offence'. He emphasizes the importance of not changing copyright law in favor of artificial intelligence companies.

Scaling Low-Code AI: Avoiding the Automation Trap

Low-code AI platforms simplify machine learning model building, but can face scalability issues in high-traffic production environments. Azure ML Designer and AWS SageMaker Canvas offer easy drag-and-drop tools, but may struggle with resource and state management under heavy usage.

Navigating AI: Guardrails and Evaluation

Guardrails AI introduces safety measures to prevent AI agents like ChatGPT from discussing sensitive topics like health or finance. Guardrails framework ensures ethical responses, protecting users from harmful advice.

Revving Up Pit Stop Performance with AWS ML

Scuderia Ferrari HP and AWS partner to revolutionize pit stop analysis with machine learning, optimizing performance and efficiency in Formula 1®. AWS helps modernize the process, automating video and telemetry data synchronization, leading to faster analysis and error detection.

Maximize LLM Precision with EoRA

Quantization reduces memory usage in large language models by converting parameters to lower-precision formats. EoRA improves 2-bit quantization accuracy, making models up to 5.5x smaller while maintaining performance.