![]() ![]() “Firms should consider open source options for mission-critical applications”. Others have come to the same conclusions, for example,įorrester Research concluded in September 2006 that Their claims this page provides a useful antidote of hard figures toĪid in comparing proprietary products to FLOSS. Vendors of proprietary products often work hard to find numbers to support Rabid advocate I use both proprietary and FLOSS products myself. I should note that while I find much to like about FLOSS, I’m not a Using FLOSS products is in many circumstances (such as experiments and market studies) to justify why Instead, this paper emphasizes quantitative measures Some sites provide a few anecdotes on why you should use FLOSS, butįor many that’s not enough information to justify using FLOSS. To consider using FLOSS when you’re looking The goal of this paper is to convince you To study and modify the program, and to redistribute copies ofĮither the original or modified program (without having to pay Users the freedom to run the program for any purpose, Other sites providing related information,Īn appendix gives more background information aboutįree/Libre and Open Source Software (FLOSS), has risen to great prominence.īriefly, FLOSS programs are programs whose licenses give This paper’s goal is to show that you should consider using OSS/FS To using their proprietary competition according to various measures. Is a reasonable or even superior approach Provides quantitative data that, in many cases, using Why Open Source Software / Free Software (OSS/FS, FLOSS, or FOSS)? Look at the Numbers! David A. Some folks are unhappy that their own content is not only being used to build machine learning systems that replicate their work, and thus potentially endangering their livelihoods, but that the output of the models flies too close to copyright or license infringement by, for instance, regurgitating this training data unaltered.Why Open Source Software / Free Software (OSS/FS, FOSS, or FLOSS)? Look at the Numbers! The process is controversial, considering material is typically protected by copyright, terms of use, and licenses, and the whole thing has led to lawsuits. Google says it did not train its AI chatbot Bard on your private emailsĭevelopers have scraped the internet, photo albums, books, social networks, source code, music, articles, and more, to collect training data for AI systems for years.Elon Musk's Twitter moves were 'reaffirming' says Reddit boss amid API changes.Microsoft, OpenAI sued for $3B after allegedly trampling privacy with ChatGPT.We incorporate privacy principles and safeguards into the development of our AI technologies, in line with our AI Principles," the spokesperson said in a statement. This latest update simply clarifies that newer services like Bard are also included. "Our privacy policy has long been transparent that Google uses publicly available information from the open web to train language models for services like Google Translate. But the wording has been altered to cover "AI models" and includes Bard and other systems built as applications on its cloud platform.Ī Google spokesperson told The Register that the update hasn't fundamentally changed the way it trains its AI models. Previously, the policy only mentioned "language models" and referred to Google Translate. The changes define Google's scope for AI training. However this PDF version of Google's policy states: "We may collect information that's publicly available online or from other public sources to help train Google's AI models and build products and features, like Google Translate, Bard and Cloud AI capabilities." Interestingly, Reg staff outside the USA could not see the text quoted at the above link. We use publicly available information to help train Google's AI models and build products and features For example, we use publicly available information to help train Google's AI models and build products and features like Google Translate, Bard and Cloud AI capabilities." The fine print under research and development now reads: "Google uses information to improve our services and to develop new products, features and technologies that benefit our users and the public. Google has updated its privacy policy to confirm it scrapes public data from the internet to train its AI models and services – including its chatbot Bard and its cloud-hosted products. ![]()
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