OpenAI hires its first chief economist

OpenAI has hired its first chief economist: Aaron Chatterji, formerly the chief economist at the Commerce Department under President Joe Biden and a senior economist in President Barack Obama’s Council of Economic Advisers. Chatterji, who’s also a professor of business and public policy at Duke, will study AI’s economic impacts at OpenAI, leading research into how […]

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Summary

OpenAI has appointed Aaron Chatterji as its first chief economist. Chatterji previously served as the chief economist at the Commerce Department under President Biden and was a senior economist in Obama’s Council of Economic Advisers. He is also a professor at Duke University and will focus on researching the economic impacts of AI at OpenAI.

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Plugable’s new 10-port USB-C hub is exactly the overkill my nightstand needs

Plugable has announced a new multi-port USB-C hub that can power or charge up to 10 connected devices using intelligent power distribution and an easy-to-understand priority-based charging system.

The company is bringing its new PS-10CC hub to consumers through a Kickstarter crowdfunding campaign. The earliest backers can get one for $59, while the hub’s full MSRP will be closer to $99, with delivery expected as early as January 2025. There’s always a level of risk when backing a crowdfunded product, but Plugable has successfully delivered three devices through previous Kickstarters and says it already has functional prototypes of its new PS-10CC.

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Summary

Plugable has introduced the PS-10CC, a new 10-port USB-C hub that allows users to charge or power multiple devices using an intelligent power distribution system. The hub is being launched via a Kickstarter campaign, with early backers able to purchase it for $59, while the retail price will be around $99, with expected delivery by January 2025. Although crowdfunding carries some risks, Plugable has a solid track record of successfully delivering products and already has functional prototypes of the hub. Users will need to provide their own power adapter for the hub.

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Researchers link Polyfill supply chain attack to huge network of copycat gambling sites

A supply chain hack targeting 100,000 websites was launched to redirect internet users to a massive online gambling network.

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Summary

A supply chain attack affected 100,000 websites, redirecting users to a large network of copycat gambling sites. This incident highlights the vulnerabilities within the Polyfill supply chain.

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This $600 Buzz Lightyear toy is the most realistic yet

Do you have $600 burning an asteroid-sized hole in your pocket? If so then the new Buzz Lightyear robot might be for you. A collaboration between Pixar and smart toy company Robosen, the new Buzz is fully loaded with over 3,000 tiny parts, 75 microchips, and 23 servo motors. It also features what Robosen calls […]

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Summary

The article discusses a new Buzz Lightyear robot toy, priced at $600, created through a collaboration between Pixar and Robosen. This advanced toy includes over 3,000 parts, 75 microchips, and 23 servo motors, making it one of the most realistic Buzz Lightyear figures available.

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Microsoft Open-Sources bitnet.cpp: A Super-Efficient 1-bit LLM Inference Framework that Runs Directly on CPUs

The rapid growth of large language models (LLMs) has brought impressive capabilities, but it has also highlighted significant challenges related to resource consumption and scalability. LLMs often require extensive GPU infrastructure and enormous amounts of power, making them costly to deploy and maintain. This has particularly limited their accessibility for smaller enterprises or individual users […]

The post Microsoft Open-Sources bitnet.cpp: A Super-Efficient 1-bit LLM Inference Framework that Runs Directly on CPUs appeared first on MarkTechPost.

Summary

Microsoft has open-sourced a new framework called bitnet.cpp, designed for efficient 1-bit large language model (LLM) inference that operates directly on CPUs. This development addresses the growing challenges associated with resource consumption and scalability of LLMs, which typically require expensive GPU infrastructure and significant power, making them less accessible for smaller enterprises and individual users. The bitnet.cpp framework aims to reduce these barriers, promoting broader usage of LLMs.

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FusionANNS: A Next-Gen ANNS Solution that Combines CPU/GPU Cooperative Processing for Enhanced Performance, Scalability, and Cost Efficiency

Approximate nearest neighbor search (ANNS) is a critical technology that powers various AI-driven applications such as data mining, search engines, and recommendation systems. The primary objective of ANNS is to identify the closest vectors to a given query in high-dimensional spaces. This process is essential in contexts where finding similar items quickly is crucial, such […]

The post FusionANNS: A Next-Gen ANNS Solution that Combines CPU/GPU Cooperative Processing for Enhanced Performance, Scalability, and Cost Efficiency appeared first on MarkTechPost.

Summary

The article introduces FusionANNS, an advanced solution for approximate nearest neighbor search (ANNS), which is vital for AI applications like data mining and recommendation systems. FusionANNS enhances performance, scalability, and cost efficiency by utilizing cooperative processing between CPUs and GPUs. The technology focuses on quickly identifying the closest vectors in high-dimensional spaces, which is essential for efficiently finding similar items in various contexts.

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Microsoft Researchers Introduce Advanced Query Categorization System to Enhance Large Language Model Accuracy and Reduce Hallucinations in Specialized Fields

Large language models (LLMs) have revolutionized the field of AI with their ability to generate human-like text and perform complex reasoning. However, despite their capabilities, LLMs need help with tasks requiring domain-specific knowledge, especially in healthcare, law, and finance. When trained on large datasets, these models often miss critical information from specialized domains, leading to […]

The post Microsoft Researchers Introduce Advanced Query Categorization System to Enhance Large Language Model Accuracy and Reduce Hallucinations in Specialized Fields appeared first on MarkTechPost.

Summary

Microsoft researchers have developed an advanced query categorization system aimed at improving the accuracy of large language models (LLMs) and reducing hallucinations, particularly in specialized fields like healthcare, law, and finance. While LLMs are capable of generating human-like text and performing complex reasoning, they struggle with domain-specific knowledge, often overlooking crucial information when trained on large datasets. This new system is designed to address these shortcomings and enhance the reliability of LLMs in specialized applications.

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Are Small Language Models Really the Future of Language Models? Allen Institute for Artificial Intelligence (Ai2) Releases Molmo: A Family of Open-Source Multimodal Language Models

Multimodal models represent a significant advancement in artificial intelligence by enabling systems to process and understand data from multiple sources, like text and images. These models are essential for applications like image captioning, answering visual questions, and assisting in robotics, where understanding visual and language inputs is crucial. With advances in vision-language models (VLMs), AI […]

The post Are Small Language Models Really the Future of Language Models? Allen Institute for Artificial Intelligence (Ai2) Releases Molmo: A Family of Open-Source Multimodal Language Models appeared first on MarkTechPost.

Summary

The Allen Institute for Artificial Intelligence (Ai2) has introduced Molmo, a new family of open-source multimodal language models. These models represent a significant advancement in AI, enabling the processing and understanding of data from various sources, such as text and images. This capability is crucial for applications including image captioning, visual question answering, and robotics, where the integration of visual and language inputs is essential. The release of Molmo highlights the ongoing development of vision-language models (VLMs) in the field of artificial intelligence.

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A Novel AI Approach to Multicut-Mimicking Networks for Hypergraphs with Constraints

Graph sparsification is a fundamental tool in theoretical computer science that helps to reduce the size of a graph without losing key properties. Although many sparsification methods have been introduced, hypergraph separation and cut problems have become highly relevant due to their widespread application and theoretical challenges. Hypergraphs offer more accurate modeling of complex real-world […]

The post A Novel AI Approach to Multicut-Mimicking Networks for Hypergraphs with Constraints appeared first on MarkTechPost.

Summary

The article discusses a new artificial intelligence method for addressing multicut-mimicking networks in hypergraphs with constraints. It highlights the importance of graph sparsification, a technique used in theoretical computer science to reduce graph size while preserving essential properties. The increasing relevance of hypergraph separation and cut problems is noted, especially due to their practical applications and theoretical complexity. Hypergraphs are emphasized for their ability to model complex real-world scenarios more effectively than traditional graphs.

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