Artificial Intelligence

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Good quote at the end IMO:

The greatest inventions have no owners. Ben Franklin’s heirs do not own electricity. Turing’s estate does not own all computers. AI is undoubtedly one of humanity’s greatest inventions; we believe its future will be — and should be — multi-model

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The author argues that "by encouraging the use of GenAI, we are directly undermining the principles we have been trying to instill in our students."

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OpenAl saved its biggest announcement for the last day of its 12-day "shipmas" event. On Friday, the company unveiled o3, the successor to the o1 "reasoning" model it released earlier in the year. o3 is a model family, to be more precise as was the case with o1. There's o3 and o3-mini, a smaller, distilled model fine-tuned for particular tasks. OpenAl makes the remarkable claim that o3, at least in certain conditions, approaches AGI - with significant caveats. More on that below.

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Microsoft wants an AI companion to follow you around the web. This is only the beginning.

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A groundbreaking AI model that creates images as the user types, using only modest and affordable hardware, has been announced by the Surrey Institute for People-Centred Artificial Intelligence (PAI) at the University of Surrey.

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Is it possible to train reward models to be both truthful and politically unbiased?

This is the question that the CCC team, led by PhD candidate Suyash Fulay and Research Scientist Jad Kabbara, sought to answer. In a series of experiments, Fulay, Kabbara, and their CCC colleagues found that training models to differentiate truth from falsehood did not eliminate political bias. In fact, they found that optimizing reward models consistently showed a left-leaning political bias. And that this bias becomes greater in larger models. “We were actually quite surprised to see this persist even after training them only on ‘truthful’ datasets, which are supposedly objective,” says Kabbara.

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Agritech apps are providing personalized advice to small farmers

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It seems that when you train an AI on a historical summary of human behavior, it's going to pick up some human-like traits. I wonder if this means we should be training a "good guy" AI with only ethical, virtuous material?

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Abstract

: The rapid development of specific-purpose Large Language Models (LLMs), such as Med-PaLM, MEDITRON-70B, and Med-Gemini, has significantly impacted healthcare, offering unprecedented capabilities in clinical decision support, diagnostics, and personalized health monitoring. This paper reviews the advancements in medicine-specific LLMs, the integration of Retrieval-Augmented Generation (RAG) and prompt engineering, and their applications in improving diagnostic accuracy and educational utility. Despite the potential, these technologies present challenges, including bias, hallucinations, and the need for robust safety protocols. The paper also discusses the regulatory and ethical considerations necessary for integrating these models into mainstream healthcare. By examining current studies and developments, this paper aims to provide a comprehensive overview of the state of LLMs in medicine and highlight the future directions for research and application. The study concludes that while LLMs hold immense potential, their safe and effective integration into clinical practice requires rigorous testing, ongoing evaluation, and continuous collaboration among stakeholders.

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Too Long; Didn't Read

Face recognition (FR) technology has advanced significantly in recent years. This article explores the potential of using synthetic data to train FR models.

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TLDRDeepMind's Genie 2 is a generative AI model that creates rich, interactive 3D environments from text or images. While limited to brief simulations, it excels as a creative prototyping tool and for AI agent evaluation. The model raises questions about intellectual property and ethical use but represents a major advancement in AI-driven world modeling.

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