1,090 karma · joined December 10, 2019
Furthermore, SAML SSO alone does not save you from worrying about this, ideally you'd also implement SCIM, to have actually automated + real-time identity updates, which is yet another protocol separate from SAML.
Was this humble brag relevant to the rest of your point?
By forcing myself to verbalize what I am thinking and feeling, I always end up better understanding it. If I am dealing with an unpleasant situation, I can always find a way to feel better about it, or create a plan that I believe in, if I talk about it with myself.
Really, it's a form of therapy - it's not too dissimilar from the exercise one engages in with a therapist, except of course in this case you don't have a professional that can react to your outputs. Instead, the onus is on you to check yourself and self-process, which is very powerful (although of course there are limits to what you can achieve in a vacuum).
I find it effective to first elaborate upon my perspectives this way to myself, and only then share them with friends afterwards, such that they get a more cohesive presentation.
This makes me think that we need far more than just 6 billion bits to actually encode the entire process of new life formation (each instance always piggy-backs off the previous, and always provides processes/information).
What's the difference?
The same way one "approaches the sun" when they take the stairs?
I disagree, legitimacy by proxy is a very useful initial signal. Someone who works on the gRPC team at a large API distributor is more likely to have better advice on best practices for protobufs, than someone who works on optimizing ray-tracers for TempleOS. Relying on proxies, and likelihoods, is crucial for the timely processing of information. We heavily rely on at least some level of trust - otherwise we would have to completely verify every single thing that anyone says, before we can begin to do anything with the information.
Even once you get "really fit" you don't stop needing the gym, so I don't think "prolonging the need for the gym" is something a gym can actually do, or would want to do. If anything, it's the most fit people that have the most consistent gym habits.
On the contrary, to go off on your example, it might actually be _against_ the gym's interest to serve high calorie smoothies, the reason being that those pursuing a calorie deficit are likely to become discouraged by the lack of results over time, and would be more likely to abandon the gym altogether.
Gyms are usually optimized for weightlifting and equipment-based exercises, which typically lean more towards performance and hypertrophy/strength training, in which case you need high-calorie nutrient-dense foods to be able to actually see results.
However, yes, if you go there for a Zumba session to try to lose weight and then you have three smoothies, you are still gonna be gaining weight. (I'd argue this is still _not_ in the gym's best interest)
Linux kernel code is probably some of the hottest code on the planet, and the developers/community understand that contributors need to be able to do exactly what you are doing - spending months toiling over a few hundred lines, and making sure that they are as perfect as can be, because literally billions or even _trillions_ of systems will depend on that code path. It is understood that in order to get it correct, performant, and maintainable, there is no other option other than to have a skilled developer take on a very high cognitive load in order to correctly implement the task.
For colder code paths, like business logic (e.g. customer registers, happens "once" per customer), that logic evolves with the team, the team evolves with the company, the company evolves with the business, the business evolves with the market, which evolves with the world. The code might be pretty simple and easy to write, but the conversations around priorities and complexity and "why are we doing this" take up the lions share of the mental effort around it. Also exhausting...
TLDR it is much harder to write systems code than it is to write python code that makes a call to an API and saves a record in a database, and working on the former _perhaps_ gives you more opportunity to be shielded from typical "software engineering" toil of business communication.