this post was submitted on 10 Jul 2023
67 points (100.0% liked)

Technology

23 readers
2 users here now

This magazine is dedicated to discussions on the latest developments, trends, and innovations in the world of technology. Whether you are a tech enthusiast, a developer, or simply curious about the latest gadgets and software, this is the place for you. Here you can share your knowledge, ask questions, and engage in discussions on topics such as artificial intelligence, robotics, cloud computing, cybersecurity, and more. From the impact of technology on society to the ethical considerations of new technologies, this category covers a wide range of topics related to technology. Join the conversation and let's explore the ever-evolving world of technology together!

founded 2 years ago
 

In addition to the possible business threat, forcing OpenAI to identify its use of copyrighted data would expose the company to potential lawsuits. Generative AI systems like ChatGPT and DALL-E are trained using large amounts of data scraped from the web, much of it copyright protected. When companies disclose these data sources it leaves them open to legal challenges. OpenAI rival Stability AI, for example, is currently being sued by stock image maker Getty Images for using its copyrighted data to train its AI image generator.

Aaaaaand there it is. They don’t want to admit how much copyrighted materials they’ve been using.

you are viewing a single comment's thread
view the rest of the comments
[–] nivenkos@lemmy.world 3 points 1 year ago

You can read the actual proposal here - https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A52021PC0206

The stuff in the article isn't a problem IMO, but the main issue is the huge amount of bureaucracy for smaller companies and initiatives.

Almost everything counts as "AI" :

(a) Machine learning approaches, including supervised, unsupervised and reinforcement learning, using a wide variety of methods including deep learning;
(b) Logic- and knowledge-based approaches, including knowledge representation, inductive (logic) programming, knowledge bases, inference and deductive engines, (symbolic) reasoning and expert systems;
(c) Statistical approaches, Bayesian estimation, search and optimization methods.