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Hololens was ahead of its time. I have not used the Vision Pro much but suspect it's the closest and other headsets will start catching up in the next year or two

Also asking why and poking holes in their responses. You get to keep learning and it helps keep them grounded since they otherwise enter a self-reinforcing loop.

Not really, it's the dictionary of record for the Spanish language and what is commonly used in academia and dinner table debates. As to whether people feel bound to it or not it's the same as how people use any other language colloquially, i.e. a dictionary is largely irrelevant or an afterthought. I have also never come across someone personally arguing against it as a "bunch of Europeans telling them how to speak their own language," most of us are pretty aware of the fact that our language descended from Castilian Spanish.

I think there's a natural process similar to gentrification in which as technology matures the hackathons promoting it transition into marketing-led events. I got into hackathons in the early 2010s when IoT was the hot new thing and saw the crowds change from hardcore technologists to mostly students and idea people. The fact is the same thing that what drew me in is what attracted them - opportunity and optimism. Sponsors expect ROI and once a technology is no longer experimental, the same tired projects tend to win because they are tried and true.

I've been to a couple of good hackathons lately but they are more focused on vibe coding and tend to only run for 8-12 hours. These let you try out an idea or framework with little commitment but lack the depth of multi-day events. I've been attending an XR hackathon for almost a decade which still embodies the ethos, but it is a labor of love carried out by volunteers. These longer, challenging and intentional events can teach you more about teamwork and product in one weekend than a year of churning through tickets.

That was poorly worded, what I meant is that some people in general seem to think of LLMs as proxies for reality or truth., and Musk himself says he wants to build "truthGPT" https://www.theverge.com/2023/4/17/23687440/elon-musk-truthg...

That's the part I think is futile, because reality and truth are vast and moving targets there's no way to build a functional map.

I thought of https://en.wikipedia.org/wiki/On_Exactitude_in_Science and its relation to language, which is discussed by Baudrillard's Simulacra and Simulation. Large Language Models are the efforts of mapmakers to encapsulate reality in a way that is ultimately futile.