Good to see platform companies like these start building their own infrastructure instead of just writing AWS wrappers. Pretty ambitious for a company of just 25 people to take this on as well. Wonder how sustainable these pricing models are.
Not really. Unlike the monty hall problem, sleeping beauty receives no additional information. The thought experiment was originally brought up to illustrate how a perfectly rational agent’s credence in the relevance of her temporal position to some proposition can change over time even though she receives no new information nor suffers from a cognitive mishap. This point is more evident in the original paper by Elga: https://swh.princeton.edu/~adame/papers/sleeping/sleeping.pd...
> I'd love to find a way to work on AI stuff professionally
Working on AI can mean many different things.
If you're looking to pivot into a more research-y position in DS and/or AI research, I'd suggest getting an advanced degree in these fields.
If you're talking more about ML engineering, there're full stack software engineer positions at some startup AI companies that require an assortment of skill sets such as web development, MLOps, and sometimes a bit of data engineering. You could look into these roles. Alternatively, since ML engineer is still an emerging position at a lot of organizations, some do not require prior experience but instead focus more on the candidate's portfolio. Create some projects and build a strong portfolio, you might have a good chance.
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