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London Underground deploys AI surveillance experiment
The London Underground conducted a year-long AI surveillance trial at Willesden Green Tube station, monitoring passengers’ behaviors, safety, and potential criminal activities through live CCTV footage. The AI issued over 44,000 alerts, including fare evasion, safety hazards, and aggressive behaviors. However, concerns were raised about privacy invasion and inaccurate results, leading to the need for…
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OpenAI CEO Sam Altman seeks trillions for outlandish AI chip project
OpenAI’s CEO, Sam Altman, is orchestrating a staggering funding initiative to raise between $5-7 trillion. This investment aims to expand high-performance AI hardware production to address the skyrocketing demand. Altman is engaging potential investors and government officials to alleviate the supply-demand imbalance hindering AI progress. The grand plan signifies a significant leap for OpenAI and…
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Artists under fire: investigating the impact of AI on creatives
Generative AI is disrupting the creative industry, leading to anxiety and real impacts. Events like the Writers Guild of America strike and layoffs in big companies have highlighted the looming threat. Studies project significant job disruptions, with California at the epicenter. The AI’s impact spans film, TV, music, gaming, and more, triggering existential debates about…
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Does AI display racial and gender bias when evaluating images?
Researchers from the National Research Council Canada experimented with four large vision-language models to assess racial and gender bias. They found biases in the models’ evaluation of scenarios in images based on race and gender. Their experiments used a dataset called PAIRS and revealed biases in occupation scenarios and social status evaluations, raising the need…
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Tiny Titans Triumph: The Surprising Efficiency of Compact LLMs Exposed!
The advent of large language models (LLMs) has transformed natural language processing, but their high computational demand hinders real-world deployment. A study explores the viability of smaller LLMs, finding that compact models like FLAN-T5 can match or surpass larger LLMs’ performance in meeting summarization tasks. This breakthrough offers a cost-effective NLP solution with promising implications.
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Google Plans for a World Beyond Search Engine
Google, led by CEO Sundar Pichai, is shifting focus towards AI chatbot technology with Gemini. This innovative tool aims to offer a versatile and interactive way of accessing information, including text, voice, and images. Google is experimenting with various formats for Gemini and plans to offer advanced features through a subscription model, reflecting a strategic…
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DAI#25 – Nukes, fighting fakes, and power-hungry AI
This week’s AI news covers a range of topics, including AI’s involvement in defense applications and its impact on carbon emissions. Efforts to combat AI-generated fake content are also discussed, along with developments in AI image generation and its application in different industries. The post concludes with a selection of engaging AI stories.
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This AI Paper Introduces PirateNets: A Novel AI System Designed to Facilitate Stable and Efficient Training of Deep Physics-Informed Neural Network Models
Physics-informed neural networks (PINNs) integrate physical laws into learning, promising predictive accuracy. However, their performance declines due to multi-layer perceptron complexities. Physics-informed machine learning efforts are ongoing, but PirateNets, designed by a research team, offer a dynamic framework to overcome PINN challenges. It integrates random Fourier features and shows superior performance in addressing complex problems…
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Stanford Researchers Introduce RAPTOR: A Novel Tree-based Retrieval System that Augments the Parametric Knowledge of LLMs with Contextual Information
Stanford researchers have introduced RAPTOR, a tree-based retrieval system that enhances large language models with contextual information. RAPTOR utilizes a hierarchical tree structure to synthesize information from diverse sections of retrieval corpora, and it outperforms traditional methods in various question-answering tasks, demonstrating its potential for advancing language model capabilities. [47 words]
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Meet Dolma: An Open English Corpus of 3T Tokens for Language Model Pretraining Research
Large Language Models (LLMs) have become crucial for Natural Language Processing (NLP) tasks. However, the lack of openness in model development, particularly the pretraining data composition, hinders transparency and scientific advancement. To address this, a team of researchers has released Dolma, a large English corpus with three trillion tokens, and a data curation toolkit to…