Meta has published a new study in collaboration with the Linux Foundation. This highlights the economic benefits of the open source AI model and how more companies are adopting open source AI tools to maximize efficiency.
This study shows that Two-thirds of organizations cite cost savings as the reason open source AI is cheaper than their own models, and almost half of those organizations choose open source AI.
According to the meta:
“With almost nine of the 10 (89%) organizations that utilize AI in some way, the immediate economic benefits of open source AI are key to its appeal. The findings of this report make that clear. Open source AI is a catalyst for economic growth and opportunity. The sector-wide adoption scale shows measurable cost reductions, increased productivity and increased demand for AI-related skills that boost wage and career outlook. ”
So Meta essentially says that the decision to open source its llama AI model is good for all businesses. Because they have to invest a lot in their AI models and tools, allowing them to latch into AI shifts.
That makes sense. AI development requires a lot of time and resources, and rarely can match the resources that the meta has in this respect.
But what is the ultimate goal of the meta here? And why are they eager to hand over AI code and secrets, and give up on potentially important market advantages?
Well, the real play of meta is AI domination, building systems that contribute to the wider infrastructure of AI shifts. Meta considers AI to be a transformational component, and the more it ensures that its systems are being used to power that change, the better meta will be placed to take advantage of the long-term extension of AI tools.
Ultimately, Meta hopes that its llama model will become the backbone of the broader AI industry, which will allow Meta to better position as the leading provider of AI fronts, defeating Openai, Google and various other races to lead the race.
So it’s not an altruistic venture here. Meta offers broader business benefits in fostering the adoption of open source models. But that makes sense in that AI development is not only too expensive for many organizations, but too important to ignore.
His advantage is clear, and Meta’s AI model offers development efficiency.
But should we place our trust in a Meta system that has a history of dramatically changing parameters and dramatically changing them to their own business goals, regardless of the impact of the surroundings?
Many do not have options, but if possible, it is recommended to maintain a level of independence in such employment.
