I really hate the pseudo-academic gatekeeping in the AI/ML community, Google said you have no moat, we all know you have no moat, including that degree. we can all fine tune with consumer hardware we already have or even better cheaply on readily accessible clouds for this specific purpose. why are they still doing this fake academic junk.
That said, new open foundation models sized 7B and over are still a fairly rare thing to see. If someone goes through the effort of creating one of those, and especially if it has some sort of an edge against Llama 2 7B, it's not unreasonable to expect an arXiv paper to be released about it.
Given the absence of a validated model (or even usable operational definition) of general intelligence, who knows? AGI might as well be an empty marketing buzzword, it isn't something about which falsifiable fact claims can be made.
> AGIs need the ability to perform internal thought and deliberation
Systems built around LLMs can do something like this, via reflection, a technique in constructing agent-based simulations using LLMs as the engine.
you can't?