OpenAI has made tech waves in the recent years given the prominences of the ChatGPT family of models, and the remanent of LLMs as search engine reindexing algorithms. They were a private research entity that became a titan now competing with the likes of Google. However, their story is less than glamorous.
They started out as a non-profit funded by Musk only to be insanely profit-driven. In fact, they are a cash-burn enterprise, and on top of that there are concerns based off of the localization of AI search results, privacy concerns over social prompt injecting, the suspicious death of whistleblower Suchir Balaji, and questions on whether these LLMs, particularly OpenAI are becoming digitized religions. This all put ChatGPT in the spotlight in a negative sense, and on top of the already burning fire were the Ann Altman allegations. The biggest issue, however, is that OpenAI is extremely centralized and has a business model that is based off of incentivizing data harvesting.
On the other hand, there are researchers like me and the growing cyberpunk community who have been working on AI research for many years. The straw that broke the camel’s back for me was the localization and privacy concerns that OpenAI has raised. This led me to build AI systems based off of open peering that aims to democratize LLMs and AI applications.
Hellbound and Down 