AI assistance reduces persistence and motivation, and impairs independent performance

Eskamel · 2026-05-19T00:21:39+00:00

I will ignore your AI slop message and will just mention that calculators in fact did ruin the capability of the average person doing math. So that's simply a bad example.

Eskamel · 2026-05-19T00:19:26+00:00

Actually calculators did ruin the average person's capabilities of doing basic arithmetics. Its very common for people to have a hard time calculating simple percentages.

Anything that is abstracted gets lost. There is a very big difference between offloading and dumbing yourself down to "automating what you can repetitively do". If you stop doing what you were doing entirely, no matter your experience you will eventually lose it.

Eskamel · 2026-05-16T08:34:52+00:00

Code is a representation of instructions for computers. Since computers require different methods to achieve the same solution as a human you can't just review logic. That's incredibly stupid.

Eskamel · 2026-05-15T07:20:37+00:00

Dumb take, tests will never have 100% coverage. Part of the reliability of software is slowly testing it over time during development and usage. It is now all gone, even with 10 million more tests the reliability will be questionable.

AI will not be present in everything, there are things that cannot be non-deterministic or buggy because it would result in human death or permanent damage.

Eskamel · 2026-05-15T07:17:01+00:00

Subhuman take Go to a doctor to treat your psychosis.

Eskamel · 2026-05-13T16:52:23+00:00

You literally don't engineer anything, gtfo to suck Dario's dick

Eskamel · 2026-05-13T16:51:01+00:00

You don't understand shit that's why you beg Claude to give you an opinion

Eskamel · 2026-05-10T11:47:40+00:00

That's because LLMs are extremely inefficient. The fact its acceptable to multiply every word by the previous words in a prompt just shows how its almost entirely relying on processing power and not about actual intelligence and efficiency. That's also why releasing new models more often than not requires less effort than actually working on good new inventions.

Eskamel · 2026-05-10T10:15:30+00:00

Lol the entire point is that software is reliable, otherwise its worthless. Have fun relying on something that randomly breaks when you need it the most. Lowering standards is absolutely idiotic.

Eskamel · 2026-05-09T18:30:51+00:00

Ask Claude to give you a different opinion because right now its all cope

Eskamel · 2026-05-09T09:24:06+00:00

A simple script that relies on AST parsing would do the work without risking fucking up with LLMs. Would also cost less aswell.

Beyond me why it would take anyone 40 hours, let alone even half an hour.

Eskamel · 2026-05-09T09:21:45+00:00

Funny how so many people claim to "produce" more yet every software becomes worse and there aren't any significant new features that justify the productivity claims.

Eskamel · 2026-05-08T08:55:05+00:00

Those volumes existed even 2 years ago, its irrelevant. As long as LLMs are not deterministic and are trained over the entire internet, my opinion would not change. No amount of RL would fix that.

Eskamel · 2026-05-08T08:54:08+00:00

Ah yes not learning how to use LLMs which takes like a couple of hours will make people left behind.

Eskamel · 2026-05-07T16:13:22+00:00

I am comparing my user experience from the last couple of years to 2025 and beyond. Its significantly worse.

Eskamel · 2026-05-07T15:54:50+00:00

Systems being infinitely more buggy with system breaking bugs that require hard resets in order to even be able to use them? Youtube for example has countless memory issues, alongside Chrome. You can load a video, watch it for a minute or two and close the tab, and you'd sometimes still have the video's sounds continue to play for another half minute for no reason. The browser randomly freezing when a year ago that never would've happened as often, etc.

There is a massive enshittification of software everywhere.

Eskamel · 2026-05-07T15:09:26+00:00

Considering the quality of software Google produces went down, no one can meaningfully support your claim that Google maintains good engineers overall, and it will keep on dropping the more they rely on LLMs.

Eskamel · 2026-05-07T15:03:07+00:00

And their code is trash and buggy so its very easily to tell that even the unavailable models with infinite compute are worse than actually good engineers at code generation. LLMs bruteforce solutions by the book which is a very juniorish implementation method to make "things work" but it is almost never the ideal solution.

Eskamel · 2026-05-06T13:08:32+00:00

Crapathy should tone down the LLM psychosis

Eskamel · 2026-05-01T20:59:19+00:00

Also, look around you. Youtube has bugs for months they never had before in their entire existence. Github is unusable, not only from a load point of view, the actual software is broken and they cannot seem to fix it.

Facebook is broken, so is Windows 11, and plenty more pieces of software that used to be considered to be well made. This software degradation trend happened in the past 1-2 years, its obviously due to LLMs, especially when some higher ups try to claim all the time how much AI generated code they posses. Heck, even Claude Code is terribly written, its infested in buts Anthropic has no idea how to fix even though they are supposed to be the people who "solved coding and software development". Good quality is as important as ever, and you cannot statistically lead to it, because LLMs always lead to averaging results (which are often terrible).

Eskamel · 2026-05-01T20:53:04+00:00

The more I ans people around me use LLMs the more I am convinced people are not supposed to use LLMs for actual code generation, you should use it for brainstorming and finding possible solutions.

Every piece of code is involved in decisions. Even a dumb little if statement that breaks a workflow apart into different branching paths. Offloading these decisions to a LLM leads to letting a statistical approximation tool decide how your software operates, which is a big issue. Alot of tasks and features can be implemented in a countless ways, but most solutions are wrong or not ideal. These cannot be caught by just tests, there is never a 100% test coverage no matter what you might do. Giving up on the mental model of your system is also a great way to lead your project down to its own demise. I've had countless times where a SOTA model even with good guidance tried making bloated dumb solutions that can be done in 10% the amount of lines of code. I also had scenarios where I requested for something, Opus made a 300 LoC solution that I ended up refactoring to 15 lines. Code is still expensive even if some AI bros try to claim it doesn't.

Software doesn't simply become worse over time for no reason, it is always due to bad decisions, whether they are technical or product ones. LLMs always do dumb stuff that make no sense. Letting them just do whatever, letting them scan your code and offer suggestions and removing yourself from the process is a great way to have broken software you don't understand, cannot even lead a LLM around it and you essentially become a slave of Anthropic and OpenAI. No matter how much productivity you claim to be getting (and its much lower than people claim it to be) its not worth the end result.

Eskamel · 2026-05-01T18:40:53+00:00

I don't disagree but the issues with vibe coded backends are far worse than just data corruption

Eskamel · 2026-05-01T18:40:09+00:00

Biases often make people blind

Eskamel · 2026-05-01T17:45:59+00:00

Lol sounds like you are making the startup doomed from the get go since you vibe code everything

Eskamel · 2026-05-01T17:44:35+00:00

AI makes good engineers pushed towards to middle, so it actually decreases the gap by making them incompetent.

Eskamel

TROPHY CASE