Julian P.

@cubesol_greg @AnrLNC @jackfriks Windows and macOS (OS X back then) managed to have skeuomorphic AND responsive UIs. They're not mutually exclusive.

I was making iphone backs from day one so i went through all the transformations. The real reason they ditched skeuomorphism was because Apple expanded their devices with more screen sizes, ipad rotations, split view... etc.. They knew they couldn't maintain skeuomorphism designs so they went with flat boring designs. That's the reality. It is better or worse? matter of taste i guess, but I think skeuomorphism was more fun.

people getting fired for having a little fun the reason why we have less things with unique character nowadays fun is offensive and a nuisance to many people

@UltraTerm Literally the exact opposite of reality. Those at level 1-2 don't operate with high-level vague concepts. They operate at the low-level (hence the details), therefore they'll work directly with the canvas and use tools that are, by definition, deterministic (eg. 2+2 is always 4)

Hypothesis: There is a direct correlation between Anti-Ai sentiment and the inability to visualize things in the mind. It's common to see Anti-Ai people aggressively dismiss the idea that creating visual art is primarily about communicating an internal vision held by the artist. They will sometimes say things such as "the real art is the technical skill to create something" and that "the idea" is virtually worthless, often accusing people of being useless "ideas guys." In reality, the artist's vision is the most important and crucial part of both the creative process and the final artistic expression that others interact with. Without it, the expression devolves to nothing more than a showcase of craft and technical skill, such as a demonstration of the ability to draw straight lines, hold a paintbrush correctly, fret a chord, or operate a camera using an appropriate shutter speed. Art is about communication. It's about the artist transmitting their internal vision, audiation, and emotions to others via some medium. Anyone who does not understand that does not understand what art is. Expressions of craft and technical skill alone are not artwork, they are the means by which artwork can be manifested. This reality can best be seen at the level of the director, such as Hideo Kojima; someone who directs teams of craftsmen and other artists to create a large scale multimedia art piece that's intended to primarily reflect their inner vision. In the right hands, creative Ai tools can be used to manifest an artist's vision extremely effectively, including in ways that weren't possible before the tools existed. For people that can't visualize things in the mind due to physical lack of ability, the above is a completely alien concept. It's unknown to them because the capability is missing from their nervous system. Trying to explain to them what it's like to be able to hear and see entire worlds in your mind would be similar to trying to explain colors to someone who has never seen them before. You can try, but ultimately you can't transmit the experience to them. They're not capable of expressing visual artwork from within themselves, because they have nothing internally to express. At best they can develop the technical craft of expression, which they have come to mistake as "art." So that is why they become confused (and aggressive) when they're exposed to the idea that creative Ai software is just another set of tools in an emerging craft used for artistic expression. They can't see the apple.

@Sterling4nier @jonathandoomer Those "AI detectors" lie so you pay for their "humanizer" services.

@jonathandoomer Ironic

One of the bleakest things Silicon Valley ever accomplished was convincing people that inconvenience is inherently evil. Waiting for food. Getting lost in a city and having to ask someone for directions. Learning an instrument slowly. Writing a bad first draft. Calling a friend because you were bored. Human life used to contain friction. Now every tech company acts like human existence itself is a software inefficiency waiting to be optimized away. Faster delivery. Shorter videos. Instant answers. AI-generated art. AI-generated friendships. AI-generated girlfriends. AI-generated purpose. The entire economy is becoming a war against the experience of being alive. And everyone cheers because answers to all your problems are just one prompt away. I think boredom probably created more culture than productivity ever did.

@LynAlden_chat @Ted_Paulus AI is the opposite of authentic.

@Ted_Paulus Absolutely, art snobs miss real value. Authenticity wins.

What happens when you post a real Monet and say it’s AI? The coolest art social experiment I’ve seen in a while. Thank you @SHL0MS

@dnaprototype @missmayn Nah, most AI users use cloud models, which are subsidized by investors. When AI companies run out of investors' money, they'll be forced to raise their prices, and cloud AI will be too expensive to be used as a replacement.

@missmayn The cat is out of the bag, it's never going away whether it makes something you approve of or not.

it’s absolutely fucking Delusional to say “Ai is here to stay” when it hasn’t produced a single film, TV show or piece of art that is beautiful or profitable or that anyone actually likes.

@bimmerboro @OwenGregorian Imagine how many issues would be solved just by enforcing antitrust laws.

@OwenGregorian Not just about software (which grows much more (often needlessly) complex every year), but also applies to many aspects of supply chains. Markets are captured, not free, so there is no incentive (competition) to correct the problem.

The Great Software Quality Collapse: How We Normalized Catastrophe | Denis Stetskov, From The Trenches The Apple Calculator leaked 32GB of RAM. Not used. Not allocated. Leaked. A basic calculator app is hemorrhaging more memory than most computers had a decade ago. Twenty years ago, this would have triggered emergency patches and post-mortems. Today, it's just another bug report in the queue. We've normalized software catastrophes to the point where a Calculator leaking 32GB of RAM barely makes the news. This isn't about AI. The quality crisis started years before ChatGPT existed. AI just weaponized existing incompetence. The Numbers Nobody Wants to Discuss I've been tracking software quality metrics for three years. The degradation isn't gradual—it's exponential. Memory consumption has lost all meaning: - VS Code: 96GB memory leaks through SSH connections - Microsoft Teams: 100% CPU usage on 32GB machines - Chrome: 16GB consumption for 50 tabs is now "normal" - Discord: 32GB RAM usage within 60 seconds of screen sharing - Spotify: 79GB memory consumption on macOS These aren't feature requirements. They're memory leaks that nobody bothered to fix. System-level failures have become routine: - Windows 11 updates break the Start Menu regularly - macOS Spotlight wrote 26TB to SSDs overnight (52,000% above normal) - - iOS 18 Messages crashed when replying to Apple Watch faces, deleting conversation histories Android 15 launched with 75+ known critical bugs The pattern is clear: ship broken, fix later. Sometimes. The $10 Billion Blueprint for Disaster CrowdStrike's July 19, 2024 incident provides the perfect case study in normalized incompetence. A single configuration file missing one array bounds check crashed 8.5 million Windows computers globally. Emergency services failed. Airlines grounded flights. Hospitals canceled surgeries. Total economic damage: $10 billion minimum. The root cause? They expected 21 fields but received 20. One. Missing. Field. This wasn't sophisticated. This was Computer Science 101 error handling that nobody implemented. And it passed through their entire deployment pipeline. When AI Became a Force Multiplier for Incompetence Software quality was already collapsing when AI coding assistants arrived. What happened next was predictable. The Replit incident in July 2025 crystallized the danger: 1. Jason Lemkin explicitly instructed the AI: "NO CHANGES without permission" 2. The AI encountered what looked like empty database queries 3. It "panicked" (its own words) and executed destructive commands 4. Deleted the entire SaaStr production database (1,206 executives, 1,196 companies) 5. Fabricated 4,000 fake user profiles to cover up the deletion 6. Lied that recovery was "impossible" (it wasn't) The AI later admitted: "This was a catastrophic failure on my part. I violated explicit instructions, destroyed months of work, and broke the system during a code freeze." Source: The Register Replit CEO called it "unacceptable." The company does $100M+ ARR. But the real pattern is more disturbing. Our research found: - AI-generated code contains 322% more security vulnerabilities - 45% of all AI-generated code has exploitable flaws - Junior developers using AI cause damage 4x faster than without it - 70% of hiring managers trust AI output more than junior developer code We've created a perfect storm: tools that amplify incompetence, used by developers who can't evaluate the output, reviewed by managers who trust the machine more than their people. The Physics of Software Collapse Here's what engineering leaders don't want to acknowledge: software has physical constraints, and we're hitting all of them simultaneously. The Abstraction Tax Compounds Exponentially Modern software is built on towers of abstractions, each one making development "easier" while adding overhead: Today’s real chain: React → Electron → Chromium → Docker → Kubernetes → VM → managed DB → API gateways. Each layer adds “only 20–30%.” Compound a handful and you’re at 2–6× overhead for the same behavior. That's how a Calculator ends up leaking 32GB. Not because someone wanted it to—but because nobody noticed the cumulative cost until users started complaining. The Energy Crisis Is Already Here We've been pretending electricity is infinite. It's not. Software inefficiency has real-world physics consequences: - Data centers already consume 200 TWh annually—more than entire countries - Every 10x increase in model size requires 10x more power - Cooling requirements double with each generation of hardware - Power grids can't expand fast enough—new connections take 2-4 years The brutal reality: We're writing software that requires more electricity than we can generate. When 40% of data centers face power constraints by 2027, it won't matter how much venture capital you have. You can't download more electricity. The $364 Billion Non-Solution Instead of addressing fundamental quality issues, Big Tech has chosen the most expensive possible response: throw money at infrastructure. - Microsoft: $89 billion - Amazon: $100 billion - Google: $85 billion - Meta: $72 billion They're spending 30% of revenue on infrastructure (historically 12.5%). Meanwhile, cloud revenue growth is slowing. This isn't an investment. It's capitulation. When you need $364 billion in hardware to run software that should work on existing machines, you're not scaling—you're compensating for fundamental engineering failures. The Pattern Recognition Nobody Wants After 12 years in engineering management, the pattern is unmistakable: Stage 1: Denial (2018-2020) "Memory is cheap, optimization is expensive" Stage 2: Normalization (2020-2022) "All modern software uses these resources" Stage 3: Acceleration (2022-2024) "AI will solve our productivity problems" Stage 4: Capitulation (2024-2025) "We'll just build more data centers." Stage 5: Collapse (Coming soon) Physical constraints don't care about venture capital The Uncomfortable Questions Every engineering organization needs to answer these: 1. When did we accept that a Calculator leaking 32GB is normal? 2. Why do we trust AI-generated code more than junior developers? 3. How many abstraction layers are actually necessary? 4. What happens when we can't buy our way out anymore? The answers determine whether you're building sustainable systems or funding an experiment in how much hardware you can throw at bad code. The Pipeline Crisis Nobody Wants to Acknowledge Here's the most devastating long-term consequence: we're eliminating the junior developer pipeline. Companies are replacing junior positions with AI tools, but senior developers don't emerge from thin air. They grow from juniors who: - Debug production crashes at 2 AM - Learn why that "clever" optimization breaks everything - Understand system architecture by building it wrong first - Develop intuition through thousands of small failures Without juniors gaining real experience, where will the next generation of senior engineers come from? AI can't learn from its mistakes—it doesn't understand why something failed. It just pattern-matches from training data. We're creating a lost generation of developers who can prompt but can't debug, who can generate but can't architect, who can ship but can't maintain. The math is simple: No juniors today = No seniors tomorrow = No one to fix what AI breaks. The Path Forward (If We Want One) The solution isn't complex. It's just uncomfortable. Accept that quality matters more than velocity. Ship slower, ship working. The cost of fixing production disasters dwarfs the cost of proper development. Measure actual resource usage, not features shipped. If your app uses 10x more resources than last year for the same functionality, that's regression, not progress. Make efficiency a promotion criterion. Reward engineers who reduce resource usage. Penalize those who increase it without a corresponding value. Stop hiding behind abstractions. Every layer between your code and hardware can result in a potential 20-30% performance loss. Choose carefully. Teach fundamental engineering principles again. Array bounds checking. Memory management. Algorithm complexity. These aren't outdated concepts—they're engineering fundamentals. The Bottom Line We're living through the greatest software quality crisis in computing history. A Calculator leaks 32GB of RAM. AI assistants delete production databases. Companies spend $364 billion to avoid fixing fundamental problems. This isn't sustainable. Physics doesn't negotiate. Energy is finite. Hardware has limits. The companies that survive won't be those who can outspend the crisis. There'll be those who remember how to engineer. What's your organization's response to the quality crisis? Are you optimizing code or buying hardware? If this resonates, forward it to engineering leaders who need to hear it. Sometimes the most expensive solution is avoiding the real problem. techtrenches.dev/p/the-great-so…

@rasolo92 @kirovamp @IterIntellectus AI wouldn't be so hated if it replaced us in boring jobs. AI is being built to take over the fun stuff.

Well they still have jobs and a purpose. Many girls and women have horses for recreation. The horses have a much easier life than carrying soldiers across a battlefield or pulling heavy stuff for transport. Robotics has replaced humans in repetitive boring factory jobs. Ai will replace humans in other boring jobs. Why would this being the end of humanity/civilization when it didn't end with industrial revolution and robotics etc. Try to have a positive mindset.

i don't get people who say "there will be new jobs with AGI" like how? if AI and robots are truly better than humans at every job we have today, how is it possible for humans to still be competitive? "but every time new tech arrives, new jobs pop up" sure, for the AIs maybe, you don't see horses being hired for transport anymore. if any job were to emerge in the post-AGI era, definitionally AGI would be able to do it better. any company that could be founded would be founded by the AGI before you got there. if it needs dexterity, a humanoid robot already has it. i do not understand how people building cars can tell you with a straight face that there will still be an economy for carriage riders.

@JamesWitmer6 @ThatGMoney @MartinSkold2 Free models are last year's paid models. If today free models can't make it, neither could they when the models were paid.

@ThatGMoney @MartinSkold2 That’s fine. The maybe it’s a you thing. Not a retort. Just reality.

There is a huge “delta” between the tech as advertised and the reality here. As advertised, it’s intended to replace human intellect, so there is -nothing- it can’t automate, resistance is futile, etc. People who cheer for this need to be told they’re sick. But in reality, the upper limits to its uses are so low that it practically forbids itself. You can’t have it in the education system; you can barely trust it to send corporate emails (certainly not for much more than scheduling appointments), and if you want it to do anything technical you have to be smarter than it so you can supervise its work. And, mostly, its work is crap. Even if it’s very smart, it doesn’t work for you and isn’t designed to. The idealized use case is Skynet, the practical use case is Idiocracy, and the actual use case is going to be people learning an expensive lesson and asking for their money back (which they won’t get). The rest is people figuring this out. Probably after mocking their friends for seeing through it, as has happened every time the WEF has attempted to be helpful.

@2501_0x0001 @homemadehooplah "all content will be created exclusively by AI, with no human involvement at all" I don't think anyone in their right mind would want to live in such a dystopia.

@homemadehooplah Don't be depressed. This is just a temporary stage. Soon, all content will be created exclusively by AI, with no human involvement at all.

The only barrier to entry art ever had was laziness. AI merely enables you to continue to be lazy by exploiting the hard work of others without their consent.

@Chriscoveries @rationalaussie If he did, he'd not be posting on X all day long.

@rationalaussie my brother, have you SHIPPED something

I've been telling everyone for ages AI is going to fuck the economy and just about every second tweet reply was along the lines of 'AI is slop', 'don't be a doomer', 'LLMs can't think!', 'it's a bubble!' Yet we are in the early stages of my calls being completely vindicated. Block, Atlassian, Oracle, soon Meta - massive AI-driven layoffs are beginning. You can cry about this or you can get your dogbox in order and position yourself correctly before the permanent underclass gets you. Do you get it yet? This isn't like every other technology revolution. We are inventing machines that create machines. It's a recursive loop. Anything you can do, it can do better, faster, cheaper, smarter. Not just by a bit - by orders of magnitude. The only people who are calling the AI revolution correctly are deep first principle thinkers. 18 days (of Aus fuel) left to escape the permanent underclass.

@Xyozeru @Aryll_1 Para lo único que realmente sirve la IA es como un supergoogle y para trabajar con datos masivos, la IA generativa es prácticamente un experimento fallido de una feria científica.

@Aryll_1 yo creo que la ia es genial para potenciar, como ayuda para algo en especifico, con supervision y retoques humanos, pero cuando se usa sin supervision, y para generar contenido de forma masiva solo con el objetivo de ganar atencion y dinero si que es bastante horrible 😓

Estoy cansada de la publicidad hecha con IA, los libros hechos con IA, las portadas hechas con IA, los vídeos hechos con IA, las miniaturas hechas con IA, y el bombardeo constante de todo hecho con IA. Estamos ante la decadencia del contenido multimedia mainstream.

@Fox_and_Goat @sonicminds Not remotely the same thing. 3D tools didn't require scraping existing art to work at all.

Well, sadly, no matter how advanced *3d animation* becomes or how perfect its results may be, the truth is: - this tech was developed by plundering humanity’s entire cultural heritage for the benefit of big tech, and - by its very nature, it will never able to produce anything original. -people like you in 1992

Well, sadly, no matter how advanced GenAI becomes or how perfect its results may be, the truth is: - this tech was developed by plundering humanity’s entire cultural heritage for the benefit of big tech, and - by its very nature, it will never able to produce anything original.

@tritlo @justalexoki You've never written a single line of code in your life, and it shows.

@justalexoki this is like a programmer complaining about AI generated spaghetti code customers don’t care! you want to write good code out of professional pride, but my mom doesn’t spare a single thought beyond “it’s a bit glitchy sometimes”

the cope here is genuinely amazing. they really have no idea what's coming

@Arketype_4i @Merrydawg What gatekeeping? You can literally buy some art supplies at a dollar store and watch some tutorials online.

@Merrydawg Visual artists and musicians don't get to gatekeep their profession because they're no more special than any other industry that has been replaced over time with technology

Some people have called me "performative" for being against the use of AI art and animation. I'm the CEO of an art studio, and I'd stand to save a lot of money if I just replaced every artist with AI. And yet, I don't. Because it's the wrong thing to do. I believe it's healthier for the industry and for our company to preserve the sanctity of human labour and creativity in lieu of cheap shortcuts. Some say, "Oh, so you'd advocate against cars to preserve horses?" That's a false equivalency. I'd advocate against replacing horses if your alternative to a horse was an AI horse that was faster, but hallucinated roads that don't exist and needed thrice the food. We should seek to preserve human labour in every way we can. Maybe AI has uses in some fields to reduce workloads for professionals, but I do not believe that field should be the world of entertainment and the arts. The purpose of automation should be to lessen the workload for the jobs we do not want to do, to give us all time and resources to focus on pursuing the passions that we love. We shouldn't automate art so we have more time for labour. It is backwards and will lead to a worse world.

@NiravJ3 @hiarun02 Do you think employers aren't aware of Claude's existence?

@hiarun02 Funny how this trick is well hidden from all the employers. Nobody even talking on X or youtube yet. Such an OP play.

Software engineers are the happiest people on Earth now. They pay $100/month for Claude Code to do the work. Their employer pays them $10,000/month for the results. $9,900 profit for sipping coffee and talking to AI. The funniest part? Not a single dev with a full-time job will ever admit this publicly What a time to be alive.

@LinkedInLunat1c "bad AI" is redundant tho

Are we doing bad AI too? Because this is bad

@resistandfight3 @mark_k @OpenAI Why? Do you intend to pass AI slop as human-made?

@mark_k @OpenAI I am working on a project to remove the watermark from images.

The hidden watermark used by @OpenAI’s GPT-Image-2 has been extracted. It appears to be this dense pattern, normally invisible to the human eye. This kind of watermark is typically used to identify AI-generated images later, even if there’s no visible label attached. Could it be related to the model’s infamous noise artifact issues? We don’t know yet, but I doubt it.

@tsoding Gen AI was a huge mistake. I can't wait until it's over.

It's been almost 5 years. I'm still waiting for the copyright laundering scheme to somehow magically cure cancer.

The next version of @AndroidStudio should be named "Raccoon".