Great content on ai! Particularly the point about so many databricks customers want mosaic that it’s massively gpu constrained. Also was really fascinating to hear the Databricks founder say that Llama open source has substantially advanced the opportunities in AI, compared to if all dependent on closed models. Makes me wonder then about if open source models get to GPT-4 or future GPT-5 and beyond levels, combined with advances made by people in open source, then how this can accelerate. Including the example given of if training was fast, then doing fast training that finds ways to improve on itself then could drive ongoing further improvements. Small suggestion for databricks founder: the charisma could be higher, and at places comes off as needlessly harsh in subtle ways, that could easily be improved. I think ChatGPT could identify places to be improved from the transcript.
Ben & Ali, I sense you two and this discussion can be the basis for prioritising. For storytelling ease, say prioritising AI for the #SpiceTradeAsia region. Aim: what mechanism(s) can we use so that we can continue where we left off on #SpiceTradeAsia region’s gradient ascent before it fell in circa 1450.What can we do to simplify this storytelling complexity? Background: For a mental rejog/time relapse see esp Min 20 of ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-NuZujx-LMfg.html
