> So what is happening right now is just a lot of denial. The honeymoon period between model providers and wrappers is over.
> In short the dilemma for most successful wrappers is simple: training or being trained on. What they are doing right now is both free market research for the big labs but, even, as all outputs is ultimately generated through model providers, free data design and generation.
This is a great observation on the current situation. Over the past few years, there's been a proliferation of AI wrappers in the SaaS space; however, because they're use proprietary models, they become entirely dependent on the model providers to continue to offer their solution, there's little to no barrier to entry to create a competing product, and they're providing free training data to the model providers. Instead, as the article suggests, SaaS builders should look into open source models (from places like Github, HuggingFace, or paperswithcode.com) or consider researching their own, and training custom models if they want to offer long-term services to their users.
This is a great observation on the current situation. Over the past few years, there's been a proliferation of AI wrappers in the SaaS space; however, because they're use proprietary models, they become entirely dependent on the model providers to continue to offer their solution, there's little to no barrier to entry to create a competing product, and they're providing free training data to the model providers. Instead, as the article suggests, SaaS builders should look into open source models (from places like Github, HuggingFace, or paperswithcode.com) or consider researching their own, and training custom models if they want to offer long-term services to their users.