Tag: machine learning

Hosting cost and development costs for training LLMs are immense. Offering licenses to companies and sell LLM prompts as SAAS services are by far not enough for a healthy revenue for AI companies. So the risk is that AI companies will sooner or later sell your data. That is why ethical AI is a must. Machine learning systems must be data responsible. They should use only what they need and delete it when it is no longer needed (“data minimization”).

General accepted definitions for open ML/AI are a must for Free and Open ML / AI systems and software. But despite several attempts there is still no general de facto accepted definition for ML/AI software and applications. The OSI Open Source AI Definition is not perfect. It is and was heavily criticized. However it is a first step towards a better definition.

GPT-4 has brought a storm of hype and fright. Is it marketing froth, or are we watching a fast revolution? Most people who have played with ChatGPT and used other tools in the past (e.g. Google to help with schoolwork) are overwhelmed. The fact that ChatGPT can automatically generate something that reads like human-written text was unexpected. The impact on society and companies will be unknown for the long term. The rapid use of the tools created by the company Openai was unexpected. However the company ‘Openai’ is not creating open tools and using open principles at all. The power that this kind of technology brings we should put more effort on developing open tools that are better and respect our privacy.