| The rift that has emerged in the tech world over the concept of open-source in AI can seem anything but straightforward. The leading player on the "closed" side of this split is called OpenAI. Companies that do claim to be open-source are often accused of "openwashing." And Mark Zuckerberg is cool now? If you're confused by this whole situation, you're in good company. While the question of how public the code and data behind the latest wave of AI should be has big implications for the future of the tech, the industry doesn't even seem to quite agree on what open-source AI strictly is, for one. The Open Source Initiative, the organization widely seen as responsible for setting that standard, recently embarked on a road trip of sorts to ask around about its proposed definitions. Executive Director Stefano Maffulli told us the complexities of the tech and the pace of its development pose unprecedented challenges. "This is absolutely never seen before. Not only because of the new artifacts like model weights [and] parameters," Maffulli told Tech Brew. "Also, the speed at which it came out of the labs. Like, all of a sudden, 'Look, this thing thinks! Oh, let me build an app!' I've never seen anything like this." The lack of a commonly agreed-upon definition hasn't stopped companies and developers from taking sides. One faction, which includes Meta and IBM, has framed itself as a champion of open-source collaboration and innovation, though some critics have taken issue with Meta's use of the term. Meanwhile, OpenAI, Anthropic, and others have kept their systems more proprietary. Proponents of this approach claim secrecy is necessary because open-source AI can be dangerous in the wrong hands. Then there's Google and Microsoft, who have mostly taken the closed route, but have also made slight overtures to the open-source movement, perhaps hedging their bets. Before we get into all that, though, let's back up. Keep reading here.—PK | 
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