“It largely depends on what people want to do,” Maffulli says. The group is trying to remain open to all perspectives in coming up with its definition and policy recommendations. The process will continue into 2024, according to the group’s website. If all goes according to schedule, OSI hopes to submit the first release candidate of a new definition of open source for AI paper next month. There were two community review workshops in July, in Oregon and Switzerland, followed by a third workshop last week in Spain. In early June, it posted a public call for papers and research on the topic, followed by a set of kickoff meetings in San Francisco later that month. It set the process in motion earlier this year with a 20-page report on AI openness in February. With its “ Defining Open Source Deep Dive” program, the OSI organization is taking a disciplined and multi-pronged approach to understanding all aspects of the openness in AI question. And we need to do that very quickly.” OSI ‘Deep Dive’ You can access the OSI deep dive report on open AI here And we were really at the dawn of a new era where we need new laws, we need new frameworks to understand what’s happening. “Then I started diving a little bit deeper into how AI, how machine learning, deep learning, neural networks work, and it dawned on me again that there were new artifacts, new things. “When CoPilot was announced, it suddenly dawned that there were new copyright issues appearing on the horizon,” Maffulli tells Datanami in a recent interview. In fact, according to Maffulli, we’ve likely already passed that point, and now find ourselves in dire need of new ideas and new frameworks to define what can and should be protected, and what can and should be open and accessible to all. With the advent of massive generative AI models that are trained on public data scraped from the Internet, we find ourselves at the edge of what current copyright law can cover. Following several policy changes and landmark lawsuits, people began seeking and gaining protection for things such as source code and machine-generated binary code, Maffulli says. ![]() That began to change with the PC revolution in the 1980s and Microsoft’s massive success selling software. Stuff generated by a machine, such as binary code, generally could not be protected. Back in the 1970s, it was generally accepted that only things generated by a human could be legally protected with a copyright or a patent. The rules around what could be considered open source in tech used to be fairly well-defined, according to Stefano Maffulli, the executive director of the Open Source Initiative. What does “open” mean in the context of AI? Must we accept hidden layers? Do copyrights and patents still hold sway? And do consumers have the right to opt out of data collection? These are the types of questions that the folks at the Open Source Initiative are trying to get to the bottom of, as part of a deep dive to define “open source AI.” ![]() Manage everything comfortably from one unified dashboard.Since 1987 - Covering the Fastest Computers in the World and the People Who Run Them Note - I didn't go crazy with colors or images - it's a clean slate to be styled however suits you.Īs a university student, there is a lot to keep organized – class schedules, assignments – and everything in between. Feedback and suggestions welcome, as always. ![]() Hopefully this comes just in time if you've been stressing about how to get everything organized before school starts. Hey, school season starts in a month! With this in mind I've published a new template to help university students to manage their classes and assignments.
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