hindsightRegret

Obviously no right answer, but personally I think worrying too much finding the perfect tool instead of just integrating more knowledge to your PKMS is a distraction.

Rolling your own solution is especially limiting in the context of the sheer amount of integrations the popular ones (like Notion for example) support.

You're basically saying you will quickly build something better than the X hundred engineers at PKMS company Y quickly and it will continue to be better than what X hundred engineers will iterate upon.

I think that time is just better spent learning and picking the subset of features that, for example, Notion offers that really improves your learning rate.

If the expert has good T skill shape and beginner's mindset for new scenarios - this does not applly.

One counterpoint I have to this article.

Considering expert vs. novice problem-solving: Within their domain, experts leverage highly efficient models. Outside? Rigidity often impedes adaptation. Their ingrained patterns, assets in familiar territory, become cognitive liabilities in the unfamiliar. The novice's counter-intuitive strength lies in a lack of assumptions, fostering the openness to explore without ego.

The cynic in me knows the real reason for them to be a carbon neutral company is so that you don't feel bad purchasing another one of their phones since it was produced "neutrally".

...may not be loaned to, FTX Trading. They could lend it to any other entity though, like Alameda. LOL

I agree with asking hard questions, but I think there's a limit to how much one can really expect an individual job applicant to determine the financial state of the company.

For one, the people that are answering their questions are by pre-condition already drinking the company kool-aid.

The Great Resignation was a step in the right direction.

I see this argument come up all the time. However, the job market in general and especially in America is terribly inefficient. The vast majority of Americans work paycheck-to-paycheck and are tied down to their geographic location (family, children, housing). There isn't really a social safety net (by design, I think) in America for employees who voluntarily quit their jobs. So lots of people are stuck in jobs they hate, getting paid less than they deserve, and are a poor match for their skills. There are still lots of jobs that don't have the luxury of entirely virtual interview processes. Over time, I do hope the job market gets more and more liquid for candidates.

Tinder would seem to contradict you there. How often is an eloquence requirement given vs. height requirement? Sure, height is not something we should fixate on, but it doesn't mean that doesn't happen anyways.

I think achieving superiority over humans is practically solving the problem though. Solving chess or go by going through a complete search space seems more like a hardware/computational goal than a practical ml/ai goal.

Is this an article or a commercial? Psych, it's both!