Totally agree. Especially for commercial or code that adds value. Writing code is just one element of developing quality, robust, software. In the rea world, commercial or production software must be maintained, supported, and must respond to changing user requirements. The human element is critical, unless you’re OK with relying on LLM’s, crossing your fingers, and have no care to support users.
As much as you all dislike LinkedIn and the cringy posts, keep in mind that for certain parts of the market it is >the< main professional forum. It is where your investors live, and their capital providers live. So, play nice, yeah?
Actually I think I'll play mean, specifically _because_ I want to be radioactive to investors and private equity. I sincerely believe there is a better way to exist and work without being beholden to a system that incentivises quarterly thinking at the cost of everything else.
For sure higher quality social network than Facebook. I personally like it. (Note that I follow only lithuanian posts. It may be our local language specifics.)
Yep, I've co-founded several companies and sold them for near $1B in aggregate. My investors and customers are on there, sometimes posting nice things about us. So I give it a thumbs-up and move on. Nothing worth rage-bating about. Mostly I go there to play linkedin.com/games.
Nicely done.
I have the same challenge with Bayesian stats and usually do not understand why there is such controversy. It isn’t a question of either/or, except in the minds of academics who rarely venture out into the real world, or have to balance intellectual purity with getting a job done.
In the very first example, a practitioner would consciously have to decide (i.e. make the assumption) whether the number of side on the die (n) is known and deterministic. Once that decision is made, the framework with which observations are evaluated and statistical reasoning applied will forever be conditional on that assumption.. unless it is revised. Practitioners are generally OK with that, whether it leads to ‘Bayesian’ or ‘frequentist’ analysis, and move on.
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