Too much money being thrown around on BS in the LLM space, hardly any of it is going to places where it matters. Ignorance on the part of investors. For exampl

Too much money being thrown around on BS in the LLM space, hardly any of it is going to places where it matters. Ignorance on the part of investors. For example, the researchers working hard on better text sampling techniques (i.e. https://arxiv.org/abs/2202.00666 https://arxiv.org/abs/2202.00666), or on better constraint techniques (i.e. like this https://arxiv.org/abs/2306.03081 https://arxiv.org/abs/2306.03081), or on actual negative prompting/CFG in LLMs (i.e. like this https://github.com/huggingface/transformers/issues/24536 https://github.com/huggingface/transformers/issues/24536) are doing far FAR more to advance the state of AI than dozens of VC backed LLM companies operating today. They are all laboring in relative obscurity. HN, and the NLP community have some serious blindspots with knowing how to exploit their own technology. At least someone at Andreessen Horowitz got a clue and gave some funding to Oogabooga - still waiting for Automatic1111 to get any funding.