It would be so simple if businesses could choose their competition or simplify disallow modes of competition they found inconvenient. I can't imagine any amount of regulation would make that possible in today's competitive landscape with the existing laws and the enormous volume of prior art.
You should really look into who Jack Conte is and why he created Patreon. He's a smart guy who relies heavily on maintaining a positive social image and is more emotionally aware and stable than most tech founders. I imagine from his perspective the decision, severance and post were all just the smart thing to do.
Even founders that don't naturally empathize with employees they need to cut encounter a process that is emotionally taxing. It's just not an easy thing to do. If you handle layoffs badly it can impact your earnings potential, your social image and your psychological health.
The first time I saw a giant floating tv billboard at the beach was the first time I felt the urge to sink a vessel. I found it offensive but everyone else seemed to just accept it as normal.
That sounds dangerously like your organization has overcommitted to AI, is hemorrhaging money and is squeezing their human engineers to make up the difference.
AI was always going to be geo-politically fragmentary. As soon as we started talking about it like a utility it was clear that every country was going to be strongly limited to the resources it could develop and the infrastructure it could build out. The US and China will still be selling hardware, managing infrastructure and licensing models and yes the domestic market is massive.
The developers of Prince of Persia still talking about the game more than 30 years later seems very bizarre to me. I remember a game called Flashback having very a similar graphical sprite animation innovation around the time PoP was released and I remember it being very fun to play, but nobody talks about it the same way. What's the deal with Price of Persia?
Reading the first few paragraphs of what he calls "the most sophisticated academic social science paper I have yet seen from an AI" does not impress as much as I hoped.
"Posterior beliefs about market demand are purely referencedependent: holding dollars raised constant, they track only performance relative to the founder’s
self-chosen goal—jumping half a standard deviation at the threshold, responding steeply for the first ten points past it, and flattening thereafter"
Humans generally don't verbalize data this way. The summary document is also very fluffy.
Now you're arguing against your own analogy? Hunter was ubiquitous position in human society prior to the domestication of animals. 50% of the workforce in hunter-gather societies. Today, 12 millennia after the domestication of wildlife, that number is down to 9-14% of the global workforce dedicated to the production, distribution, processing, sales of meat (not including cooked food) according to opus.
Considering that only 1% of the US workforce was a software engineer I expect similar workforce optimization to occur in software engineering specializations over the next 12,000 years. /s But seriously, it's never going to zero.
We don't need as many hunters because we've domesticated sources of meat. We still need ranchers, butchers... an entire supply chain to get meat to consumers. We didn't remove humans from the loop, we just created specializations.
Software specialization might look very different in 10 years but I doubt that technically specialized humans will be completely removed from their professions. We might not be carrying bows and arrows anymore but we will be carrying the equivalent of a rope and a Stetson.
Languages have been reporting compile and runtime errors for decades. Additionally very few senior developers don't already have their minds wired to spot typos the way copy editors spot bad punctuation. Typos were only really a problem for students.
The capacity of the person prompting it to understand is the threshold they won't cross. They can squeeze the gap as much as possible by dumbing down answers or slowly ramping up information complexity but there is a limit to comprehension.
Glib is called for. The amount of information asymmetry that's still on the table as vibe coders and vibe engineers and vibe doctors emerge is staggering. Professional experience is still incredibly valuable. Most software developers might spend more than 6% of their time coding but no senior developers are banging their heads for hours over typos.