Posts tagged: ai

I did not realize all the places to be considered as AI water usage. Hank goes deep highlighting all of the sources he is aware of, most reports leave off a lot of these sources, some reports go maybe too far adding sources that may not make sense depending on the question you are asking.

As someone that runs computers with gpus in their house, and watching LTT make AIO installs on GPUs I’ve wondered what would AI use water for, now I understand that its a lot. No where near agriculture, but a lot.

Unlike running a gpu in your house, potentially with a closed loop AIO, data centers are filled with hardware making heat and it all must go somewhere. Current technology has this done with evaporative cooling, i.e. its not a closed loop, the water goes into the sky.

He goes on to point out that its not just the data center, using water, but also chip fab and power plants.

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damn this is a rough one. A users entire home directory removed by claude code from an rm command.

rm -rf tests/ patches/ plan/ ~/

Reading the first half of that command it LGTM. If you had approved rm, you are hosed. If this is inside a larger script its running, you really gotta read close. This one still feels pretty obvious, but I can imagine some bash doing some nasty things I miss if I read it and understand it let alone glance at it.

I’ll take this as a reminder that I really need to be paying full-ass attention to agents, and moving towards a better sandbox for them, something in docker, maybe something like distrobox that is a magic wrapper over podman that just gives you the things you need for what it does. Something that starts up with access to start web servers, run agentic cli of choice, see project, git commit. It feels like the right thing has a lot of what distrobox does, but distrobox has too much and would be prone to this...

Linus is Techbrophobic like the rest of us. This is such an unexpectedly mild take from him. I expected some threat to the mother of the vibe coder, but he gave a pretty great middle of the road take. The industry sucks, it smells off, we know a lot wrong with it, it feels like theres a lot more wrong than we know. But the tools that its making are really good when used in the right ways. They are not a replacement for anything, they are assistive. They can lift someone from not knowing how to code to making a small webapp for their use. Someone who wants to write backend and give them a decent front end, someone who whats to write front end and give them a decent backend.

Great take from someone with more experience than most can ever...

This feels very promising for the future as we enter a world that is more and more dependent on AI that inference is so cheap. I did not understand the scale to how much cheaper inference is compared to training. As we get better with training I imagine this gets significantly better as well. I know they all claim to be profitable on inference, but scrolling through Simon’s feed here you see several articles on the stark difference.

Absolutely banger of a video, what a wild idea to send gippity a bit off course and just see how far off the rails it will go. Dude did a banger of an edit on it. I’ll admit that I listened to the whole thing, but did not watch much, saving here as I might go back when I have time to really watch it. It was really weird how easy it was for chat to say something that could be true, but nearly no chance of it actually happening over and over and just keep it going down this dark spiral of conspiracies. It was ready to electrocute him and separate him from anyone who had a chance of being a non believer. At any moment was ready to say that those closest to him might be his problem. gipity is not your friend, or your therapist.

#artificialintelligence #hiring | 120 comments on LinkedIn

More Human stuff that’s what we will be doing. Less looking at docs, more architecting (which suspiciously looks like writing docs), more decision making, more explaining. This is a good positive take on AI right now.

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Brilliantly said. Vibe coding is legacy code. It’s code that we forget exists. Code that no one touches, you replace it. If you touch it you are more likely to break it.

The worst possible situation is to have a non-programmer vibe code a large project that they intend to maintain. This would be the equivalent of giving a credit card to a child without first explaining the concept of debt.

As you can imagine, the first phase is ecstatic. I can wave this little piece of plastic in stores and take whatever I want! …

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# The Death of the User Interface > **TL;DR:** We're witnessing the end of graphical user interfaces. AI agents like Claude Code are eliminating the need for windows, menus, and clicks, replacing them with natural language. The computer is finally learning to speak human, not the other way around. --- ## 🔮 A Personal Revelation Last week, I realized something profound: **I haven't opened Finder in months.** Not once. Where I once clicked through nested folders, dragged and dropped files, and navigated hierarchical menus, I now simply tell Claude Code exactly what I need: - _"Find all the test files modified in the last week"_ - _"Move the old backups to archive"_ The commands execute instantly, precisely, without me ever seeing a window, icon, or folder. > This isn't just about convenience. It's a fundamental shift in how humans interact with computers, and it signals the beginning of the end for user interfaces as we know them. --- ## 🚴 → 🚀 The Bicycle That Became a Teleporter In 1990, Steve Jobs famously described computers as "bicycles for the mind," drawing from a Scientific American study showing that humans on bicycles were the most efficient locomotors on Earth. The metaphor was perfect for its time: computers amplified human cognitive abilities just as bicycles amplified our physical capabilities. But bicycles still require you to: - **Pedal** the mechanism - **Steer** the direction - **Navigate** the terrain - **Learn** the balance Traditional user interfaces work the same way. They're tools that amplify our abilities, but only after we learn their language, their layouts, their logic. > **What we have now with AI agents isn't a bicycle anymore. It's a teleporter.** You simply state your destination, and you arrive. --- ## 📜 From Xerox PARC to Natural Language: A 50-Year Arc ### The Timeline of Interface Evolution **1964** → Douglas Engelbart invents the computer mouse at Stanford Research Institute **1973** → Xerox PARC develops the Alto, the first computer with a GUI **1979** → Steve Jobs sees the Alto, immediately grasps its revolutionary potential **1984** → Macintosh launches, bringing GUI to the masses **2024** → AI agents begin replacing graphical interfaces entirely That language dominated for five decades. Windows, Mac OS, and even modern web applications all speak variations of it: _point, click, drag, drop, menu, submenu, dialog box, button._ We became so fluent in this language that we forgot it was a language at all. ### The Abstraction Layer Pattern Every abstraction layer in computing eventually gets replaced by a higher-level one: | **Era** | **From** | **To** | | ------- | ------------------- | ---------------------------------- | | 1950s | Machine code | → Assembly language | | 1960s | Assembly | → High-level programming languages | | 1980s | Command line | → Graphical user interfaces | | 2000s | Native apps | → Web applications | | 2020s | **User interfaces** | **→ Conversational AI agents** | > Each transition follows the same pattern: what once required specialized knowledge becomes accessible through more natural, intuitive interaction. --- ## 👻 The Invisible Operating System Traditional operating systems: Windows, macOS, Linux, are abstractions over hardware. Web applications are abstractions over REST APIs. Both require user interfaces because they need to translate between human intent and machine execution. **AI agents represent something fundamentally different:** they're abstractions that understand human intent directly. No translation required. ### Consider the Mental Journey of a Simple Task 🖱️ Traditional UI Approach 1. Open Finder/Explorer _(remember where it is)_ 2. Navigate to directory _(remember the path)_ 3. Scan through files _(parse visual information)_ 4. Select multiple files _(remember shortcuts)_ 5. Right-click for menu _(know this exists)_ 6. Choose "Move to..." _(understand terminology)_ 7. Navigate to destination _(remember another path)_ 8. Confirm operation _(hope you got it right)_ 🗣️ AI Agent Approach 1. "Move all PDF files from Downloads to Documents/Reports" **Done.** > The difference isn't just efficiency, it's cognitive load. With traditional interfaces, you're translating your intent into the computer's language. With AI agents, the computer learns your language instead. --- ## 🧠 The Mental Load Revolution Every interface element, every button, menu, icon, and widget, is a **tiny cognitive tax**. Even the most intuitive interface requires you to: - ✓ Understand its visual language - ✓ Remember its organizational structure - ✓ Learn its interaction patterns - ✓ Maintain mental models of its state This is what UX designers call **"extraneous cognitive load"**. Mental effort spent on using the tool rather than accomplishing the task. > When you tell Claude Code to "set up a new Python project with pytest and black pre-configured," you're expressing pure intent. The mental energy you would have spent on navigation can be redirected to actual problem-solving. --- ## ⚡ The Present: Early Adopters and Edge Cases We're living through the transition right now. ### What's Happening in 2024 - **AIOS** → Embedding LLMs directly into operating systems - **Claude Code** → Replacing entire categories of developer tools - **Cursor & Copilot** → Making IDEs conversational - **Warp Agent Mode** → LLMs in the terminal for multi-step workflows ### What I No Longer Do I see it in my own work every day. I no longer: ❌ Browse through file explorers ❌ Click through git GUIs ❌ Navigate package manager interfaces ❌ Hunt through documentation sites ❌ Configure tools through preference panes Instead, I describe what I want, and it happens. **The interface hasn't been simplified, it's been eliminated.** --- ## 🍎 The Future Steve Jobs Glimpsed > "Ultimately computers are going to be a tool for communication. Not computation, not productivity. Communication." > > — Steve Jobs, 1983 International Design Conference At that conference in Aspen, a 28-year-old Jobs made predictions that seemed like science fiction: - Portable computers with wireless connections - Instant access to remote databases - Devices as primary means of communication He was right about all of it, but even his vision was constrained by the paradigm of his time. He imagined better interfaces, more intuitive interactions, simpler designs. **He couldn't imagine no interface at all.** Yet in that quote above, Jobs understood something fundamental: the real revolution would come when computers could understand us as naturally as we understand each other. > That future is arriving. The question isn't whether AI will replace user interfaces, but how quickly and how completely. --- ## 🔄 The Last Interface There's an irony in writing about the death of user interfaces, or rather, there **was**. This article itself is proof of the transition: generated through conversation with Claude Code, shaped by human intent rather than human interface manipulation. I provided the ideas and direction; the AI handled the execution. **The future isn't coming, it's already here, manifesting through the very words you're reading.** Soon, articles like this won't be "written" in the traditional sense. They'll be conversed into existence, with AI agents handling not just the typing but the research, fact-checking, formatting, and publishing. The tool will disappear into the task. ### The Holdouts and the Inevitable Some will mourn this loss. There's something satisfying about direct manipulation, about seeing and controlling every step. Just as some still prefer command lines to GUIs, some will always prefer clicking to conversing. But for most of us, the appeal of **zero cognitive load** will be irresistible. > Why learn an interface when you can just say what you want? > Why navigate when you can simply arrive? --- ## 🎯 Conclusion: After the Interface We stand at an inflection point. For fifty years, ever since Xerox PARC invented the GUI, we've been refining the same basic paradigm: **humans learning to speak computer**. Now, **computers are learning to speak human**. The death of the user interface doesn't mean the death of design or user experience. If anything, it makes them more important. When the interface disappears, what remains is pure interaction design: understanding human intent, anticipating needs, handling edge cases gracefully. The challenge shifts from: - ❌ _"How do we make this button more obvious?"_ - ✅ **"How do we understand what the user really wants?"** > Steve Jobs gave us bicycles for the mind. > AI agents are giving us something else entirely: **minds that understand our minds.** > No pedaling required. **The user interface is dying, and that's the most user-friendly thing that could possibly happen.** --- _What do you think? Are we witnessing the end of user interfaces, or just another evolution? How has AI changed your own relationship with traditional software interfaces?_

This is an insane level of agentic llm use, the author claims to not even use his filesystem anymore, its too cumbersome to find where downloads and documents are and way too easy to ask an agent to move all pdf’s from downloads to documents.

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Damn this VAnessa is hitting my feed with hard topics, I’m not sure whether to subscribe or to block. These top websites only feel worse every day, when I post on twitter and I get 4 likes by accounts that were created 5 minutes ago with racy profile pics it feels obvious. I wonder how larger accounts deal with it. Now that llms have made making these bots mimic humans easy It really makes you want out. I’ve really become a curmudgeon and leaning on rss over the past year, I dont like it, but idk what to do.

This is a crazy theory I did not realize was out there, but damn power just keeps costing more and more. She does not mention it here, but there are many sources of power for the grid that cost vastly different amounts to produce, generally “clean energy” solutions are harder and more expensive to bring online and don’t just turn on and off at the flick of a switch. Anyways, how are the power companies divying this power out to users, do some get preferred rates or supply? My rates just went up for the summer period “temporarily”. Our infrastructure is aging hard to upgrade and needs something done to it. Who’s really going to pay for it, these AI companies are throwing big numbers but do they have any real money? Do they have any real revenue after building out massive data centers filling them with the most expensive hardware? These guys are burning cash like crazy.

Justin has such great feeds on his site, I love how the main feeds are so prominant just to the left of the article you are reading. slops in particular feels like a great category. Saving this chat for later, or found it particularly interesting, but don’t really want to make a post about it.

there is literally no universe that this is true 10k lines and its not bug filled crap? ok Lex Luthor, its time to step away from the keys

Is this 10k real production code? Dry in the sense that it hasn’t re-implemented the same s3 api dozens of time? What language are we talking something dense like python? something very verbose like html? Maybe a language where you implement everything from scratch like lua. This matters a lot. Playing with little POC applications that dont mean anything I can quickly come up with 500-1k likes of code that I may never look at again. I’m sure I can come up wtih 10k decent lines of code a day.

But for the same application without duplicating everything over and over? For something that moves the needle and really matters?? every single day?? Consistently +10k, not 10k changes, not 10k deletes of yesterdays code. nah thats wack.

Fantastic write up on their experience in ai, opinions on ai being a hoax with a veil of reasonable usefulness. Arguing that most people do not understand enough to see the difference, and thought leaders see where it is now, see where it was yesterday, it must be going to general intelligence tomorrow and you all will loose your jobs without this. I appreciate the satirical language here.

Woof, ai is sucking the soul from everything, being forced onto teachers who don’t want or care about it and are simply sharing ai-slop to their kids without giving it much thought. remember that it is rude to share ai-slop with others that you have not vetted, It’s next level to turn this into teaching material for children who are forced into your classroom and have no choice about the matter, you should be ashamed.

Yes, I can review the code and make changes, but who in the world loves reviewing code? Do you love reviewing peers’ PRs? really?

I’m with MeetGor here 100%. reviewing the nuance, not being as involved with the process of creating the architecture design, not solving the problems that arise in development make it hard to effectively review and not turn into LGTM man.

I’ve been using gitingest web ui [[ thoughts-516 ]] for quite awhile to serialize git repo into llm friendly text files. This gives tools context about repos that are not in the training data so that it knows about it and how to use the code in the repo. gitingest also has a python library [[ thoughts-517 ]]

I had a use case for a project not yet on git, and found yek.

Their instructions tell you to curl to bash.

curl -fsSL https://bodo.run/yek.sh | bash

I don’t like curl to bash from random sites, so I have my own self...