How open source technology is driving AI?

Speaking of the driving force of open source technology on AI development, we have to mention an interesting phenomenon: behind almost all heavyweight AI breakthroughs today, there is the shadow of the open source community. Take the recent hot AI music creation, Tencent open source that SongGeneration model is like opening the Pandora's Box, so that everyone can play music production, which a few years ago is simply unimaginable. Open source is like a gas pedal for AI development, so that the most cutting-edge technology is no longer locked in the laboratory of large companies.

The "Collective Intelligence" Effect of Open Source Communities

Look at those successful AI projects, TensorFlow, PyTorch which is not open source? When the code and models are made public, the creativity of global developers is instantly released. Some people are optimizing algorithms, some people are developing plug-ins, and some people are doing localized adaptations - this kind of collaborative innovation efficiency, closed-source development can not be compared. Like SongGeneration open source, GitHub soon appeared on the tuning version for different music styles, which in closed source mode is estimated to wait for the official iteration for half a year.

Open source lowers more than just the technical barriers

The best part is that open source has also changed the business model of AI. In the past, if you want to use AI, you have to build a team from scratch, but now you can directly develop it based on the open source model. I know a small team, using the open source Stable Diffusion to do creative design, three months to achieve profitability. songGeneration such as open source projects are more ruthless, the threshold of professional music production directly from the "Conservatory graduates" to "will be able to type on it. Just type". This is not technological innovation, but simply an industrial revolution.

However, open source also has sweet troubles, such as some companies "whoring" open source results without feeding the community. But on the whole, open source is making AI development into a virtuous cycle - enterprises through open source to obtain talent and technology feedback, developers to get the stage to show, end users to enjoy the fruits of innovation. Just as Linux changed the operating system ecosystem, open source AI is reshaping the development trajectory of the entire artificial intelligence field.