Or possibly under regulated. Where exactly is all the radioactive waste going to go? Especially the spent fuel rods pose major disposal challenges. The one site that was looking hopeful appears to have been discarded. It is a bit late in the game to be pending basic stuff that is piling up. Most nuclear power plants are not well sited for long term disposal, though that is what is happening.
It isn't only companies, it is a mass social movement. Anyone with basic coding experience can download some basic learning apparatus and start feeding it material. The latest LLMs make it extremely easy to compose code that scrapes internet sites, so only the most minimal skills are required. Because everything is "AI" now aspiring young people are encouraged to do this in order to gain experience so they can get jobs and a careers in the new AI driven economy.
This is the biggest red flag for me. In contrast, as Ruby and Rust were adopted they generated many tools, libraries, frameworks, and full applications which answered unmet needs in clever and interesting ways. What has generative LLMs produced? Apparently it is nearly all slop or minor iterations. In some cases there are significant bug fixes accumulating which is about as good as it gets. Still many powerful tools coming from the generative LLM wave, but probably worth waiting for best practices to emerge and pricing to stabilize.
> To build it requires companies to invest a sum of money unlike anything in living memory.
Do we know this? Smaller more carefully curated training sets are proving to be valuable and gaining traction. It seems like the strategy of throwing huge amounts of data at LLMs is specific to companies that are attempting to dominate this space regardless of cost. It may turn out that more modest and better optimized methodologies will end up winning this race, much like WebVan flamed out taking huge amounts of investment money with them but now Instacart serves the same sector in a way that actually works robustly and profitably.
That isn't realistic at all. Customers change and their needs change with them. Sometimes customers die. Products that stay the same change their fit over time and eventually fall away. A business that is not growing is dying. That is okay. It can be fine to let things fall away when they have run their course, but some prefer to endure. But the absolute fact remains that a business that is not growing is dying.
It seems like what you are perceiving is a common market delusion. An unfortunate fact of hiring is those workers who are not employed and satisfied are often less experienced and skilled than those who are well placed and not looking. The same logic applies the other way around to companies. Those who are looking to hire juniors who haven't yet found their way are often companies that lack a solid center and just want to squeeze some money out of whatever customers they can find using whatever tool is at hand.
With the current state of things if your needs are truly modest then there is a good chance that you can get by with some independent offering. Find something you are interested in and make it work for someone willing to pay for it. Make sure to lean more into sales and actually making things work for customers than the engineer tendency to envision mechanisms and focus entirely on that. This way you can set the balance for yourself, and I can absolutely guarantee that you will experience the realities of growth or death up close, though in a more personal way that you can take control of and manage for yourself using criteria that have meaning for you.
It will be interesting how this goes moving forward. Agents learn from massive scraping. With the newest tools and frameworks there is nothing but documentation and initial examples to scrape. And now that agent output is flooding everything it can be expected there will be a lot of feedback with automated learning early in development cycles.
Lots of applications have a simple structure of collecting and operating data with fairly well documented business logic tying everything together. Coding outside of that is going to be more tricky.
And if agentic coding is so great then why are there so still so many awful spreadsheets that can't compete with Excel? Something isn't adding up quite as well as some seem to expect.
Strange how LLM vendors are flooding the market with reasons not to do business with them. Every paid agentic interaction contributes to all the bad behavior we are seeing. From out of control web scraping to buying up available hardware LLMs are turning out to be highly efficient misery manufacturing mechanisms.
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