Open Source AI: The future of AI?

Open-source AI has made it possible for anyone to engage with powerful artificial intelligence. However, the inner workings of this world-renowned technology remain closely guarded by the big tech companies that control it.

In recent months, there have been some efforts to bring more openness to the world of AI. In May, someone leaked a language model, giving outsiders a chance to peek into its code and understand how it behaves. Then, in July, a large language model was made available for download, modification, and reuse. This move has turned these models into a go-to resource for numerous entities looking to create ChatGPT-like tools and applications.

However, a recent research paper suggests that models labeled as “open” might come with a few strings attached. For instance, the aforementioned model can be freely downloaded and tinkered with, but it doesn’t play by the rules of a typical open-source license.

The license says you can’t use it to train other language models, and if you want to deploy it in an app or service with more than a specified number of daily users, you need a special license. This level of control gives the organisation that developed the model some significant technical and strategic advantages.

In contrast, models released under standard open-source licenses, such as one from a nonprofit, are more openly accessible. However, they face some tough challenges. First, the data needed to train these advanced models is often shrouded in secrecy.

 Second, the software frameworks necessary for building these models are typically controlled by the big players in tech. Third, the massive computing power required to train these models is way beyond what your average developer or company can afford.

And finally, the human expertise needed to finesse and improve these models is a resource that’s mainly in the hands of big corporations with deep pockets.

As a result, some of the most groundbreaking AI technology in recent times could end up enriching just a select few companies. To address this, regulatory movements and other initiatives are necessary to create alternatives and make AI more widely accessible.

Let’s debunk myths about Open Source technology

Myth 1: Open source software is inferior quality.

Reality: Open source projects benefit from global developer communities, ensuring rigorous quality control.

Myth 2: Open source is less secure than proprietary software.

Reality: Open source transparency accelerates the detection and resolution of security issues through community collaboration.

Myth 3: Open source is not enterprise-grade.

Reality: Many large organizations, including tech giants, heavily rely on open-source software for mission-critical operations.

Myth 4: Open source is just a trend.

Reality: Open-source technology has deep roots and continues to grow in prominence.

Myth 5: Open source is not compatible with proprietary programs.

Reality: Open-source software often works seamlessly with both proprietary and open-source operating systems, adhering to industry standards.

Myth 6: Open source is free.

Reality: While many open-source software programs are cost-free, there are exceptions.

Myth 7: There is less support for open-source software.

Reality: Third-party support for open-source software is readily available, offering prompt assistance when needed.

Myth 8: Open source is difficult to maintain.

Reality: Active community contributions and available project management tools simplify open-source software maintenance.

Open-source technology has come a long way and is more widely adopted and respected than ever before. The myths surrounding open-source software often stem from a lack of information or misunderstandings about its principles and applications. However, its passionate and active community continually contributes to its success. It’s time to clear the air and embrace open-source technology for its true potential.