Clearly "mechanical" thinking has been automated, and you are better off, if not forced to outsource to AI. Humans have the biological needs, consciousness, taste and imagination, that's what we are left with thus far.
And just like people going to the gym to exercise their otherwise economically useless bodies, same thing will happen with the mind.
When I started posting on HN, many times I get downvoted. And this an another example, you don't get discussion you just get downvoted.
And it's a good thing, it means I think differently.
The fact is, one could pump literally 10k LOC/Day using LLMs, and in the right hands, those will be quality code, and this is objective observation from someone who has been coding for 20+ years. It almost feels like we have tractors for mechanical thinking, but there are those in the industry who built their entire career and identity on the bottleneck of coding, and those struggle.
But those people will be left out, forgotten. Progress doesn't care about feelings and identities, entire civilizations with their minds collapsed, and buried because they didn't adapt to progress.
Do you really think your ego can help you to shelter from that when many before you parished?
Machine hater and manual labour worshiper..he thinks he got stupid because he stopped doing if/else and for-loops. Life is full of complexity and it might be helpful to get one level-up in abstraction to try to solve real problems and other people actually care about.
And who are you my therapist? Just argue the point, this is not group therapy forum. Passive-aggressive people are the angriest/nastiest people around.
I don't think the transition will be as simple as just flipping a URL. There is an entire legal and technical infrastructure being built around these models and their integration. I think you underestimate an organization's resistance to change once things actually work, as well as the sheer complexity of making that shift.
I also expect pressure will eventually drive the cost of running these models down. Power plants are being built, more capable chips are being produced, and a big chunk of the capital right now is being used to scale the physical infrastructure—the data centers and energy grid. Once that stabilizes, these companies will have positive cash flows. Again, it's highly similar to what we saw with the expansion of social networks, just with more aggressive and widespread adoption.
Ultimately, a handful of companies are going to provide these core capabilities, just like we have a handful of major cloud providers right now. Why do you think this would change? If anything, the trend toward deep vendor lock-in is even stronger now.
I see your point, but having worked as a consultant for a few years, I think most companies will opt to stay once things are stable. Once these systems are functional, nobody wants to touch them.
I remember one government project where we wanted to migrate a system from COBOL to a modern stack. The requirement was for the UI to stay exactly the same as the old green terminal; the evaluation criterion was pixel-perfect proximity to the original. We literally had to build terminals using web tech.
These models are not the same as each other. Once they are integrated and working, the incentive to change them is incredibly low. So really, the race is about who can integrate deeper, wider, and faster over the next couple of years—that is what will determine the long-term winners.
This is the exact same playbook we saw with social networks. There is a reason why we have only a handful of them dominating globally, and guess what? It's not because of the tech.
It is not just about cheaper models; it is about integration with the economy.
These models are building deep integrations into companies and the entire economy. Once that stabilizes, it will be like the electricity grid—pumping tokens to fuel decision-making across the entire global society. Good luck unplugging from that.
Furthermore, there is a massive geopolitical aspect to it: those who are already on the Western financial and technical stack will get integrated even deeper now.
I admit, I didn't read the whole article; I read a few paragraphs and extrapolated the mindset from which the author operates.
Regarding your comment about the business model—the people in Silicon Valley are not stupid. They know the playbook; we've seen it with social networks. The issue isn't the business model itself; it's that these companies need to dominate the market, and the big players are competing for that on a global scale. It's the exact same playbook that played out in financial systems and social networks, and now it's happening with AI. Once these technologies are deeply integrated into enterprises and the global economy, these players will dominate the market for decades to come.
I can assure you, the people running those companies are smarter than you, me, and the author of this article."
It's still better than the sh*t developers produced three years ago.
Some people just like to feel superior by shaming others' work. You can easily tweak the visual output if you want to, but it's good enough for most use cases and better than what developers used to produce.
Some people seem to see the world only through bubbles. But if you look at human history, despite the ups and downs, we have a trajectory; generally speaking, human-created systems evolve toward ever-increasing complexity, impact, and efficiency.
The current wave of AI unlocked language - the tools are now speaking and understanding. This, on its own, is astonishing progress. Language is the foundation of our culture and society; it is the very technology that got us, as a species, to where we are today. To have tools that can understand, manipulate, and produce it is a massive leap forward.
Once you see things that way, it is clear that we are not in a bubble; we are in a transition. Yes, there is tons of hype and over-investment, but the demand is real, and so is the impact. Unless you are deep in the tech and have that structural depth, it is easy to dismiss. This is like the invention of the personal computer, but with 100x the impact and speed.
At least the author admit he is biased..