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Fearing AI will take their jobs, California workers plan a long battle against tech

Meanwhile, people like Amba Kak see opportunities for gains by workers against technological threats but said that it may require strategically picking the right battles. Kak previously advised the Federal Trade Commission and is executive director of the AI Now Institute, a nonprofit that researches the human rights impact of the technology.   — Kak told CalMatters she plans to pay more attention to activity in state legislatures in places like California and New York, where lawmakers are already considering a bill that protects people from AI in a manner similar to California’s to Senate Bill 1047, a controversial bill requiring AI safeguards that

Changelog · Prodigy · An annotation tool for AI, Machine Learning & NLP

Select page…Get Started › Prodigy 101Get Started › Installation & SetupGet Started › ChangelogUsage › Named Entity RecognitionUsage › Span CategorizationUsage › Text ClassificationUsage › Dependencies & RelationsUsage › Computer VisionUsage › Audio & VideoUsage › Task RoutingUsage › Large Language ModelsUsage › ReviewUsage › Custom RecipesUsage › Custom InterfacesUsage › MetricsUsage › DeploymentAPI › RecipesAPI › Annotation InterfacesAPI › Web ApplicationAPI › Loaders & Input DataAPI › Components & FunctionsAPI › DatabasePlugins › Open Source PluginsPlugins › Single Sign-onPlugins › Modal This page lists the history of changes to Prodigy. Whenever a new update is available, you’ll receive an

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

SafeLine: A Top-Tier WAF Affordable for SMBs Worldwide!

In an era where cyber threats are growing more sophisticated by the day, web security is no longer a luxury—it’s a necessity. Unfortunately, many small and medium-sized businesses (SMBs) struggle to afford premium security solutions, leaving them vulnerable to attacks. SafeLine changes the game by delivering a high-performance Web Application Firewall (WAF) that is both powerful and affordable, ensuring SMBs worldwide get the protection they deserve without breaking the bank. Why SMBs Need a Strong WAF Cyber threats like DDoS attacks, SQL injections, XSS exploits, and bot traffic don’t just target large enterprises—SMBs are often hit even harder due to

A Gentle Introduction to Graph Neural Networks

This article is one of two Distill publications about graph neural networks. Take a look at Understanding Convolutions on Graphs to understand how convolutions over images generalize naturally to convolutions over graphs. Graphs are all around us; real world objects are often defined in terms of their connections to other things. A set of objects, and the connections between them, are naturally expressed as a graph. Researchers have developed neural networks that operate on graph data (called graph neural networks, or GNNs) for over a decade. Recent developments have increased their capabilities and expressive power. We are starting to see

Less is more: How ‘chain of draft’ could cut AI costs by 90% while improving performance

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A team of researchers at Zoom Communications has developed a breakthrough technique that could dramatically reduce the cost and computational resources needed for AI systems to tackle complex reasoning problems, potentially transforming how enterprises deploy AI at scale. The method, called chain of draft (CoD), enables large language models (LLMs) to solve problems with minimal words — using as little as 7.6% of the text required by current methods while maintaining or even improving accuracy. The findings were published in a

You can now fine-tune open-source video models

AI video generation has gotten really good. Some of the best video models like tencent/hunyuan-video are open-source, and the community has been hard at work building on top of them. We’ve adapted the Musubi Tuner by @kohya_tech to run on Replicate, so you can fine-tune HunyuanVideo on your own visual content. Never Gonna Give You Up animal edition, courtesy of @flngr and @fofr. HunyuanVideo is good at capturing the style of the training data, not only in the visual appearance of the imagery and the color grading, but also in the motion of the camera and the way the characters

Reddit – Dive into anything

When reading articles about Gemini 2.0 Flash doing much better than GPT-4o for PDF OCR, it was very surprising to me as 4o is a much larger model. At first, I just did a direct switch out of 4o for gemini in our code, but was getting really bad results. So I got curious why everyone else was saying it’s great. After digging deeper and spending some time, I realized it all likely comes down to the image resolution and how chatgpt handles image inputs. I dig into the results in this medium article:https://medium.com/@abasiri/why-openai-models-struggle-with-pdfs-and-why-gemini-fairs-much-better-ad7b75e2336d Source link