GenAI - CybAI news

23 Sep

The Practitioner’s Guide to the Maximal Update Parameterization

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EleutherAI is proud to introduce a joint project with Cerebras on spreading the implementation details of muTransfer with the wider model training community! We provide a simple port of μP to the popular nanoGPT library at https://github.com/EleutherAI/nanoGPT-mup, and encourage readers to refer to this implementation throughout this blog. Maximal Update Parameterization (μP) offers significant advantages for neural network training, but its adoption has been limited due to the complexity of the underlying math and the challenges in implementation. This guide aims to lower those barriers by providing a clear and practical overview of μP. By using μP, you can achieve…

23 Sep

New Cloudflare Tools Let Sites Detect and Block AI Bots for Free

stp2y0 CommentsGenAIartificial intelligence, bots, Cloudflare, internet

According to Dark Visitors founder Gavin King, most of the major AI agents still abide by robots.txt. “That’s been pretty consistent,” he says. But not all website owners have the time or knowledge to constantly update their robots.txt files. And even when they do, some bots will skirt the file’s directives: “They try to disguise the traffic.”Prince says Cloudflare’s bot-blocking won’t be a command that this kind of bad actor can ignore. “Robots.txt is like putting up a ‘no trespassing’ sign,” he says. “This is like having a physical wall patrolled by armed guards.” Just as it flags other types…

20 Sep

Welcome to the Era of ‘Deep Doubt’

stp2y0 CommentsGenAIartificial intelligence, conspiracy theories, deepfakes, media

AI has scrambled our ability to tell what’s real and what’s synthetic. But there are tools and techniques to help stay grounded in truth. Source link lol

20 Sep

Sending One Email With ChatGPT is the Equivalent of Consuming One Bottle of Water

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ChatGPT with GPT-4 uses approximately 519 milliliters of water, slightly more than one 16.9 ounce bottle, in order to write one 100-word email, according to original research from The Washington Post and the University of California, Riverside. This extravagant resource use can worsen human-caused drought conditions, particularly in already dry climates. The Washington Post’s reporting is based on the research paper “Making AI Less “Thirsty”: Uncovering and Addressing the Secret Water Footprint of AI Models” by Mohammad A. Islam from UT Arlington, and Pengfei Li, Jianyi Yang, and Shaolei Ren of the University of California, Riverside. Reporters Pranshu Verma and…

20 Sep

HackerOne: 48% of Security Professionals Believe AI Is Risky

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A recent survey of 500 security professionals by HackerOne, a security research platform, found that 48% believe AI poses the most significant security risk to their organization. Among their greatest concerns related to AI include: Leaked training data (35%). Unauthorized usage (33%). The hacking of AI models by outsiders (32%). These fears highlight the urgent need for companies to reassess their AI security strategies before vulnerabilities become real threats. Must-read security coverage AI tends to generate false positives for security teams While the full Hacker Powered Security Report won’t be available until later this fall, further research from a HackerOne-sponsored…

20 Sep

Meta Connect Starts Wednesday. Here’s What to Expect

stp2y0 CommentsGenAIartificial intelligence, augmented reality, chatbots, facebook, instagram, meta, virtual reality

Meta Connect, the big developer event and hardware showcase from the company that runs Facebook and Instagram, is kicking off next week. Meta is likely to show off its new VR and mixed-reality technology, put a shiny polish on its meandering metaverse ambitions, and delve into all the fresh ways it plans to squeeze artificial intelligence into every crevice of its devices and services.The event takes place on Wednesday September 25, starting at 10 am Pacific time. The keynote address, where most of the new stuff will be announced, will be livestreamed. The host for the event will be Meta…

20 Sep

PDF Editing Magic for Just $50 – No Wand Required

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TL;DR: The Afirstsoft AI PDF Editor lifetime subscription is available for just $49.99 (reg. $179), providing powerful, AI-driven PDF editing across all platforms. In nearly any business environment (some more than others), working with PDFs efficiently is essential. Whether editing, converting, or organizing documents, having the right tools makes all the difference. The Afirstsoft AI PDF Editor gives you lifetime access to an all-in-one solution for just $49.99 (reg. $179), and it works seamlessly across Windows, Mac, iOS, and Android. With AI-enhanced features, this editor simplifies every aspect of managing PDFs, from text editing to AI-driven summarization. Features With Afirstsoft,…

20 Sep

The Practitioner’s Guide to the Maximal Update Parameterization

stp2y0 CommentsGenAI

EleutherAI is proud to introduce a joint project with Cerebras on spreading the implementation details of muTransfer with the wider model training community! Introduction# Maximal Update Parameterization (μP) offers significant advantages for neural network training, but its adoption has been limited due to the complexity of the underlying math and the challenges in implementation. This guide aims to lower those barriers by providing a clear and practical overview of μP. By using μP, you can achieve stable hyperparameters across model scales, reduce the need for costly tuning, and improve training stability at large scale. This guide will walk you through…

19 Sep

Google NotebookLM: Expands Sources, Adds Audio Features

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Google’s NotebookLM allows you to experiment with an AI chat system focused on sources you select. The tool leverages Google Gemini, a highly capable AI system, not only to generate chat responses based on your sources but also to help you organize and explore the content within your sources. For example, you may add multiple lines to a notebook, then use NotebookLM to generate a customized study guide based on a specific selection of those notes. In September 2024, NotebookLM added an option to create an audio overview, which builds a podcast-style conversation drawn from your sources. This combination of…

19 Sep

Machine Learning vs AI: Differences and Use Cases | TechRepublic

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New generative artificial intelligence technologies such as OpenAI’s ChatGPT, Microsoft’s Bing, and Google’s Gemini (formerly called Bard), have taken the world by storm, promising to disrupt every industry. However, AI and machine learning have been in use in a wide range of industries, from IT to manufacturing to finance, for decades. As companies rush to adopt new AI solutions, leaders must understand the different types of AI and how it compares to ML. Ray Fernandez, writing for TechRepublic Premium, looks at what AI and ML are, the different types of both technologies, their use cases, and how they compare. Featured…