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It's all about the right mind set at the very top level. At the beginning of the PC era, nobody would bet IBM to lose. Same in the dawn of internet, all money was on MS. so it happened to Nokia and Ericsson.

Google is a giant without a direction. The ads money is so good that it just doesn't have the gut to leave it on the table.


she's done pretty important work but since then obsessed with the vague term `spatial intelligence`. what does it mean? there isn't a clear definition in the piece. it seems very intuitive & fundamental but tbh not *rigorous*, nor insightful.

I bet it's a dead end.


It's rare for one person to achieve many things. Her ImageNet was certainly HUGE. But she is a researcher. I think the true power of researchers is to persist. I also often think that researchers are too much absorbed into their topics. But that is just their purpose.

It could be a dead end for sure. I just hope that someone figures out the `spatial` part for AIs and brings us closer to better ones.


I have only one problem w/ the S1: the creators just not have the guts to kill Mother or Father. Don't get me wrong, I like them but it could make the whole series more distant and cold.

on S2: a total disaster.


I expected to read some nash equilibrium like insight to demonstrate the inevitability of machines turning evil, but got a few headlines.


how is it better than https://github.com/boost-ext/sml ?

there are about 1 million c++ state machines, and sml happens to be the best, or one of them. how does yours differentiate?


I was about to complain about the use of strings in both libraries, both for the lack of type safety as well as the possible runtime allocation, but then I looked at the assembly for the sml example and there are no strings in the binary other than the obvious "send" one.

What exactly happened there? It looks like make_transition_table() is doing some serious magic. Or are the state transitions evaluated at compile-time given that there is no input in the example, and then the transition table gets compiled out?

Anyway, I think it would help OP's library to have some assembly output in the readme as well.


Looks like SML is using user-defined literals [0, 1] to effectively pre-process the string literal into state/event objects. Looks like the string itself is turned into a template parameter in the process and I believe those shouldn't show up in the compiled code (maybe unless there's some mangling-related thing going on?)

[0]: https://en.cppreference.com/w/cpp/language/user_literal.html

[1]: https://github.com/boost-ext/sml/blob/f232328b49adf708737bef...


Thanks, I didn't know that was a thing.


could anyone give one sentence pitch why it's better than markdown files?


It's not quite in the same realm of use. The urtext files are more aware of other files, but they're also self-modifying.

Sort of like comparing plain HTML to PHP. Appear in similar places, with completely different guarantees.


Maybe it's b/c vast majority not doing well financially?!


Exactly! There is definitely something wrong with FAIR.


it feels like google in panic mode, the only thing it can think of is to put a chatbot everywhere, just b/c it can. I don't see a value proposition at all.


My understanding is that every manager at Google has had one of their quarterly goals be to integrate genAI into their team's product (regardless of whether it makes sense to) for the past several years already, so you're not wrong.


Ah, so it's the new Social Mandate!


It worked out great for Google Plus (lots of people got promotions from thad!) so why not try it again.


Isn't that the whole industry right now?


Interesting formulation! it captures the intuition of the "smartness" when solving a problem. However, what about asking good questions or proposing conjectures?


Aren't those solutions to problems as well?

Find the best questions to ask. Find the best hypothesis to suggest.


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