AI is just technology wrapped around technology, ultimately revealing that even the most sophisticated AI is but a sophisticated wrapper around the human experience.
The term ‘wrappers’ first came into use in 2023 after the boom of GenAI startups, which were built on existing LLMs.
Vishnu Ramesh, the CEO of subtl.ai shared challenges posed by VC expectations for his 4-year old entity in securing funding to move forward.
Arjun Rao, founding partner at Speciale Invest highlighted cautious VC approach for high-cost, foundational AI projects.
At the end of the day, wrapper companies are going to take centre-stage than creating newer foundational models because building LLMs from scratch is an expensive, time-consuming, and a capital-intensive task.
India could benefit more by building on existing foundational models rather than developing indigenous models from scratch. India’s CTO Nandan Nilekani and others support this line of thinking.
Some believe Marc Andreessen's essay prophesizes the future where humans will never run out of problems, and he believes wrappers are useful in this context where they can help solve niche and specialized problems.
Even though wrapper models may conceal the functional core, startups and their models should adapt to new changes rather than relying on existing strategy and proprietary algorithms.
Healthify and Ola AI are examples of startups that built on existing LLMs, creating real-time AI conversations in Hindi using OpenAI APIs and adapting AI solutions to the Indian market.
There is still a question on the validity of companies such as Perplexity, built on both Anthropic and OpenAI’s models, after OpenAI integrated search features into its ChatGPT.