Actually, I'm skeptical how useful this is. Intuitive speculation: Astra can only improve weights to its own level, so can't train itself via this method. Even "continuous learning" this way may be no more effective than putting a summary of recent news in the prompt, with the same kind of decay, as "update Astra's knowledge while keeping performance" is much harder than "teach Qwen to do basic method".

On the other hand, already OpenAI and Anthropic heavily use their LLMs for research and coding, and it's probably not only much faster but smarter (remember, an LLM solved a millennium problem; more relevant, LLMs excel at combining disparate deep research concepts in ways that humans can't, simply because no-one studied those disparate fields). And the "singularity" is already here if you consider capitalism and society to be collective intelligences: the biggest obstacle to an AI pause, "we cannot get everyone to collaborate without defecting", is very strong.

We have AGI by most metrics and are getting closer and closer in the remaining ones. I predict improvement won't be exponential, and there will never be a day when AI perfectly replicates humans; rather it will be many small steps, getting closer to human in some areas while greatly surpassing in others. But still, even today it's actually very useful.