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If I'm so brutal and don't give a damn why do I care if I use every library under the sun? Simple you say? Then I'm rewriting code some other poor sods have written 100 times, which sounds a lot like not-invented-here ornamentation to me.

They should rename this screed Arrogant Programming :P

Counter take:

This hot take is unnecessarily defeatist and smacks of the rote defense for maintaining the current power structure, namely "the world is too complicated maybe we shouldn't try".

I'd like to mention that we had significantly higher corporate, inheritance and income taxes in the 40s to 70s and it absolutely did moderate growth of billionaire wealth.

If such a thing is implemented in some form by all, or even most, major global national entities it could have a very positive impact on future global development. It won't be perfect but we only need to work to improve. And currently having billionaires control trillions leaves much to improve upon.

Plotly offers more power and flexibility than chart.js and provides a much simpler API than D3 (it has D3 and webgl renderers). The ecosystem is broad and includes React, Angular and other wrappers and language-interfaces for Python, Rust, Go, Scala and many others (incl Common Lisp).

If you start plotting a lot of data it can grow with you since it supports typed arrays and webgl rendering without undue boilerplate.

Disclaimer... I work for Plotly

Corporate Web is SEO Ad hell but it's got nothing on the future that awaits us.

Let me present AI Ad tech 2030

All commercial websites contain meta tags with vector embedding links. Vector embedding services are standard offerings in the big Cloud. Everyone selling something uses them.

All commercial LLM products consume meta data and RAG the global vector embedding index. LLM-SEO is big business as companies fight to game the LLMs with their content.

Generative AI Ad tech inserts Ads into relevant LLM output and is trained on the conversion success of successful Link follows and subsequent purchasing decisions.

May I present Alpha-Ad.

It's on the way folks.

Except you see many of the same people staffing the boards of major companies, donating to politicians and contributing funds to think tanks that supply politicians with policy options. Conceptually it's less helpful to keep politics and state institutions as distinct entities from the largest corporations as thinking of them as a single highly integrated system.

I know, my statement there is harsh. The early tech culture emerged from 60s counter cultural forces that had, to their credit, really impacted the world. So it probably wasn't as naive as it seems now.

For sure. But there will always be good times and bad. Main streets in towns were likewise vital communities until interest rate hikes and massive deregulation in the 80s.

If you want to keep quaint Norwegian looking towns pristine even through harder times you need fairly heavy regulation.

You ever drive down a main drag of any town or city pretty much anywhere that has a fairly unregulated capitalist system? Advertising everywhere. Signage. People dressed as hotdogs paid a few bucks an hour to wave a sign shaped like a ketchup bottle.

The mystery to me is why this group of early web pioneers thought it could be any different.

Enshitification isn't new, it's not even different from "making money and maximizing the bottom line". Capitalism is creative destruction driven by distributed profit seeking along the edges of relatively immobile statist and corporate oligopolistic structures.

This always involves cycles of enshitification that end in bottom feeding until extinguished by new techno-social revolutions.

GenXers were talking about the enshitification of main street with the spread of big box stores and malls in the 80s and 90s. Same system, same process, new generation.

Who knows, likely not many aside from some folks training in GCP on TPUs but any large funded corporation has a path laid out by Google. And Apple with its M-series. You can build hardware and dedicated ML chips and if you can do that the software ecosystem knows how to handle it. CUDA isn't the moat, it's the chips. NVIDIAs moat is still the chips. Building huge systems and ecosystems is a game for only the most capitalized entities but all of them can do so. The software part is already a solved problem, at the cost of a new compiler.

The CUDA lock-in is over played. Tensorflow, Pytorch and any large framework supports multiple hardware including Google TPUs. Any company making significant investment will steer some of that towards hardware support in the software they need.

Clearly the Radcliffe wave is leftover vibrational energy from a space-time knot formed when now long extinct aliens exited the galaxy in a dark energy fueled artificially generated wormhole. Clearly.

That's why white has a higher statistical win rate ya?