#Open Source AI Tools

[olivergisttv]

Open Source AI Tools for Web Designers

Introduction Let’s face it—web design isn’t what it used to be. You no longer need to spend endless nights tweaking every pixel by hand. Thanks to open-source AI tools, web designers now have digital co-pilots that speed up workflows, enhance creativity, and take the grunt work off your plate. Whether you’re a freelancer, agency pro, or in-house designer, these tools are like having an extra pair…

[cyle]

still confused how to make any of these LLMs useful to me.

while my daughter was napping, i downloaded lm studio and got a dozen of the most popular open source LLMs running on my PC, and they work great with very low latency, but i can't come up with anything to do with them but make boring toy scripts to do stupid shit.

as a test, i fed deepseek r1, llama 3.2, and mistral-small a big spreadsheet of data we've been collecting about my newborn daughter (all of this locally, not transmitting anything off my computer, because i don't want anybody with that data except, y'know, doctors) to see how it compared with several real doctors' advice and prognoses. all of the LLMs suggestions were between generically correct and hilariously wrong. alarmingly wrong in some cases, but usually ending with the suggestion to "consult a medical professional" -- yeah, duh. pretty much no better than old school unreliable WebMD.

then i tried doing some prompt engineering to punch up some of my writing, and everything ended up sounding like it was written by an LLM. i don't get why anybody wants this. i can tell that LLM feel, and i think a lot of people can now, given the horrible sales emails i get every day that sound like they were "punched up" by an LLM. it's got a stink to it. maybe we'll all get used to it; i bet most non-tech people have no clue.

i may write a small script to try to tag some of my blogs' posts for me, because i'm really bad at doing so, but i have very little faith in the open source vision LLMs' ability to classify images. it'll probably not work how i hope. that still feels like something you gotta pay for to get good results.

all of this keeps making me think of ffmpeg. a super cool, tiny, useful program that is very extensible and great at performing a certain task: transcoding media. it used to be horribly annoying to transcode media, and then ffmpeg came along and made it all stupidly simple overnight, but nobody noticed. there was no industry bubble around it.

LLMs feel like they're competing for a space that ubiquitous and useful that we'll take for granted today like ffmpeg. they just haven't fully grasped and appreciated that smallness yet. there isn't money to be made here.

[pyrosomatic-metamorphosis]

once again furious at how AI has been implemented and fucking. hyped up and goddamn bullshit. the way its being used to steal creative works and fuck with artists and create porn of real people is fucking NASTY. but god fucking damnit it could be so useful. fucking. ai voice reader for my stupid incomprehensible textbooks where the voice isn't datamined against the person's will. ai npcs that didn't steal their fucking data. ai routine builders that can learn a person's typical day and preferences and help build checklists for people who struggle w tasks. they could be SO USEFUL. but no. no. we can't have useful things. improving lives??? nahhhhhh we've gotta make Pretty Pictures and Steal Fucking Everything to do it

[yddaw]

Sometimes it’s unfortunate seeing that a lot of people are anti [insert technology here]. It makes sense of course, but it seems like the idea being shared is that the technological tool itself is “bad” but not the company using it.

Like Chromium is not the same thing as Chrome itself. And AI is not only for stealing content and reselling it. But having so many companies do this and use these tools with little to no regulation (specifically on privacy) paints such a nasty image for the tool that has so much potential 😩

[wintermage]

what's with every language learning app being an enshittified AI-ridden mess where you have to pay $15 a month for it not to be completely useless, but the free alternative being some shit you need a degree in computer science just to install

[yethiconsulting]

Best Practices for Designing a Test Automation Framework

Designing a robust test automation framework is essential for scalable, maintainable, and efficient testing. A well-structured framework helps teams standardize test processes, accelerate execution, and improve code reusability. Here are key best practices to follow:

Define a Clear Architecture

Choose a layered structure that separates test scripts, utilities, and test data. This modularity improves maintainability and enables easy updates.

Select the Right Tools and Tech Stack

Choose tools that align with your application, team skillsets, and CI/CD goals—like Selenium, TestNG, Cypress, or Playwright. Integrate with version control and build tools for automation framework continuity.

Use Data-Driven and Keyword-Driven Approaches

Implement reusable test logic that supports parameterization. This reduces redundancy and allows flexibility in running tests with various datasets.

Enable Logging, Reporting, and Exception Handling

Build in detailed logs and custom reports for quick debugging. Include robust error handling to prevent script failures from breaking the entire suite.

Ensure Scalability and Maintainability

Design the framework to scale with your application. Follow coding standards, comment code clearly, and regularly refactor for performance.

A well-designed framework is the foundation for long-term test automation success.

[missmistborn]

while I understand that chatgpt is definitely not trained how most people would argue is moral (there's enough disagreement that I don't want to say it's flat out immoral, but I definitely would argue it is)

That's kinda the case with most tools and if we continue at this pace, being good at using chatgpt is going to be in the same vein as being good at excel.

It's a really useful tool when I'm working with code and don't want to dig through the hell that is Python library docs, or when I want a quick summarization of the facts surrounding a topic I'm curious about. It's super good to use as a sounding board when I'm trying to conceptualize math, or when I need to test myself on something.

HOWEVER

This does not mean we should continue to let openai train their models on stolen data. They should be held accountable and that cannot be forgotten in lieu of "oh but their thing is really useful!"

Yes, it is useful, and yes, it is a good skill to learn how to use it and will help you learn and work faster. But you should not accept thievery as a part of your improvement. Hold them accountable, and if you want to help incentivise them to not steal, maybe talk to chatgpt sometimes so it can use your speech/text as training data. If you don't want to, that's very reasonable, but unfortunately corporations don't really have to listen to the stick, so sometimes you need to use the carrot if you want to see positive change.

"use chatgpt" that's the devil talking. buy four caffeinated drinks and pull an all nighter. this is the way.

[instantedownloads]

How to Use n8n and AI to Build an Automation System

Automation is changing how we work every day. It helps save time, reduce mistakes, and get more done with less effort. If you want to automate your tasks but don’t know where to start, this guide is for you. In this post, you will learn how to use n8n — a free, open-source automation tool — combined with AI to build smart workflows that do work for you. What Is n8n? n8n (pronounced…

[the-ai-perspective]

A Guide to the Newest AI Models of 2024-2025 (link in the bio)

[krissym72]

A Beginner's Guide to AI Art with Open-Source Tools

Artificial Intelligence (AI) has transcended its conventional applications and found a new canvas in the realm of art, igniting a wave of creativity that blurs the lines between human and machine-generated artworks. As technology advances, AI art has emerged as a captivating fusion of algorithms, data, and human ingenuity, captivating audiences and creators alike with its mesmerizing…

[pineappleliar]

Went on a nightmare spiral reading into all the documentation on AI art creation. The training data used is just a black box of 100% copyright infringement where the pseudo transformative nature of the tool makes getting your art removed from their tool nigh impossible (unless you know they actually have it, which again, they won’t tell you).

The other thing is that this typical ‘ai art style’ is a feature, not a bug. You can use the ‘style’ tag to toggle how ‘artistic’ you want a generated image to be, and cranking that up increases that particular aesthetic you’d expect from AI art.

on one hand this is worrying because it reads to me that one of the easiest ways to identify if something is AI made is toggleable. On the other I feel a grim sort of comedy from the fact that a large majority of techbros will jump on this tell anyways because working around this would require a modicum of effort, and the whole point is to avoid needing any effort.

[afrinet]

Watch "5 Breakthrough Technologies of 2024" on YouTube

[nitor-infotech]

When and Why to implement GenAI in your product

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