1,685 karma · joined February 16, 2024
Simplifying bureaucratic rules can be beneficial and can take countless forms (digitizing trivial manual work, removing duplication, applying materiality thresholds etc. etc.) The result is clearly a win-win for all.
Removing protective regulations is instead a zero sum game. Each fradulent bank behavior not persecuted is siphoning wealth from their clients. Each further exploitation of personal data collection is enriching the surveillance capitalists at the expense of the user-product (and ultimately our very democracies).
Society and politics has a lot of gray areas. This is not one of them.
The nag I will always repeat: libreoffice should have made much bigger, much sooner, strides to integrate the Python ecosystem in deep ways (striking on its own and ignoring Microsoft's path).
Had it done so, it would now undisputably own the desktop productivity future, with local LLM integration just the trendy example.
One area that might be "pregnant" for some new approaches is the visualization of large datasets, eg large graphs. Extracting useful (and objective) information instead of ovewhelming with the sheer number of data points. That is indeed the art of visualisation.
But ignoring the signaling going on on various sides would be a mistake. "AI" is for all practical purposes a synonym for algorithmic decision making, with potential direct implication on peoples lifes. Without accountability, transparency, recourse etc the unchecked expansion of "AI" in various use cases represents a significant regression for historically established rights. In this respect the direction of travel is clear: The US is dismantling the CFPB, even more deregulation (if that is at all possible) is coming, big tech will be trusted to continue "self-regulating" etc.
The interesting part is the UK stance. Somewhere in between the US and the EU in terms of citizen / consumer protections, but despite brexit probably closer to the latter, this siding with dog-eats-dog deregulation might signal an anxiety not to be left behind.
Its not black and white, without pesticides we'll probably all perish from malnutrition within a year or two, but the pressure to contain the collateral damage to environment and people will not go away.
It does all have a bit of Wile E Coyote feel to it. Keep gesticulating wildy to propel forwards before inevitably plunging in the abyss below.
https://www.wsj.com/finance/banks-sell-5-5-billion-of-x-loan...
https://www.audubon.org/news/why-do-gulls-have-red-spot-thei...
Theoretically the internet would have enabled the long tail, making tiny domain focused niches viable. In practice discovery is the most gamed algorithm in existence. Unless you have the resources and inclination to spend quality time towards useless "SEO" nobody knows you are alive.
So you cannot "destroy" software. But you can have fast food versus slow food, you can have walkable cities or cars-only cities, you can have literate or illiterate society etc. Different cultures imply and create different lifestyles, initially subjective choices, but ultimately objectively different quality of life.
The author argues for a different software culture. For this to happen you need to create a viable "sub-culture" first, one that thrives because it acrues advantage to its practitioners. Accretion of further followers is then rapid.
This is a beautiful and unexpected connection. Drawing analogies between software and other forms of cultural expression is a long overdue mental shift. The use of linguistic expressions such "tech" and "engineering" highlights the prevailing desire to think of software as some sort of thing apart, less social, less political (and thus something we can profitably pursue with fewer moral qualms).
The switch from the original mentality of software as a product (literally shipped in a box), to the current business model of "user as a product" and software merely being the bait and hook is so profound that we are not really talking about the same industry anymore.
Not clear where the strange and twisted journey of software would lead. The infinite reproducibility at zero cost is not something current economic systems can handle. The enshittification might continue, further enshittifying society or open source becomes the norm.
Solving real problems is hard. Being distracted by snake oil salesmen, whether they sell digital scarcity or AGI only makes things worse.
Libreoffice in combination with local ML/AI owns the future. Whats missing is to orchestrate an API for the vast and growing open source data science ecosystem to be more readily available to non-technical end-users.
When that happens it will be another "Sputnik moment" :-)
What about empty places? Luckily for Greenland, the calculations predict that the flux of impacts to the poles for Earth is 22% greater than the flux at the equator [1]. So nobody (in their right mind) would want to annex it as an asteroid survival backup site.
[1] https://iopscience.iop.org/article/10.3847/PSJ/abefda/pdf
In today's hyperconcentrated digital landscape about the only thing that matters for mass market relevance are the default options on client software controlled by gatekeepers.
Mozilla too has abandoned RSS, which may or may not be correlated with them being (alas) increasingly irrelevant.
Eventually lack of popular RSS clients lead to slow decline on the server side as well. A new and fancy website today using a "modern" stack more likely than not does not support RSS, its fully aligned with the "follow us on XYZ" mentality.
Depends on whether they want these tools to be adopted in the wider world. Rightly or wrongly there is a lot of suspicion in the West and an open source approach builds trust.
[1] https://en.wikipedia.org/wiki/Habitability_of_natural_satell...
> While this has resulted in some incompatibilities between Macsyma and Maxima, programs written in the Macsyma algebraic language can often be run, with only minor changes, in either system.
Symbolic tensor manipulation is still supported https://maxima-on-wasm.pages.dev/doc/html/Package-itensor#Pa...
"Serious" money simply reflects a serious society: transparent books, reliable social contracts, diversified undertakings, resilient people and nature, truthful and lawful character, stable and boring. Money that reflects real economic exchanges rather than speculation.
The inverse attributes produce funny money: obfuscation, debasement, double books, smoke and mirrors, exploitation, captured institutions, subversion of the law and rampant speculation.
There is no easy way to good money. No secret sauce. The entire society must be behind its value.
> too many investors have been bidding up prices of firms related to AI without properly knowing the details of how it functions or is able to succeed
There is no investment without risk. The question is why are there so many investors that appear to be grossly insensitive to gargantuan levels of risk. And the answer is probably: its all funny money to them. We live in the era of 100K bitcoin after all.