Ask HN: How are you handling the Biggest Vendor Lock-in of the Decade?

The article discusses the potential pitfalls of relying heavily on OpenAI's APIs, despite their ease of use and cost-effectiveness. The author suggests that while open source LLMs may eventually surpass OpenAI's capabilities, the convenience and hype around OpenAI's APIs lead many to use them, potentially creating a vendor lock-in situation.

The author questions whether changing APIs is as simple as updating the URL, highlighting that for many applications, creating new embeddings with a different model or provider can be costly and time-consuming. The author ends by prompting a discussion on the potential for this to become the biggest vendor lock-in of the decade.

Key takeaways:

Open source LLMs are improving and may surpass OpenAI's capabilities, but the ease of use and affordability of OpenAI APIs make them a popular choice.
Switching to a different API may not be as simple as changing the URL, especially for applications that require the creation of embeddings.
Creating new embeddings with a different model or provider could deepen the vendor lock-in and potentially be costly.
The author is raising concerns about what they refer to as the 'Biggest Vendor Lock-in of the Decade' and invites readers to share their thoughts on this issue.

Ask HN: How are you handling the Biggest Vendor Lock-in of the Decade?

Key takeaways:

Comments (0)

Newsletter