I asked Claude for references to some ideas the ai had output earlier about a 16th century cardinal (Sadoleto). It's response was, Let me analyze the letter, and then this:

async function searchForSadoletoLetter() {
  try {
    const files = ['sadoleto_letter.txt', 'sadoleto.txt', 'sadoleto_to_geneva.txt', 'letter_to_geneva.txt'];
    
    for (const filename of files) {
      try {
        const content = await window.fs.readFile(filename, { encoding: 'utf8' });
        console.log(`Found file: ${filename}`);
        console.log("First 500 characters:");
        console.log(content.substring(0, 500));
        return content;
      } catch (err) {
        // File not found, try the next one
      }
    }
    console.log("Could not find any files containing Sadoleto's letter");
    return null;
  } catch (err) {
    console.error("Error searching for files:", err);
    return null;
  }
}

const content = await searchForSadoletoLetter();

// Since we don't have the letter available as a file, let's search for published versions online
console.log("The letter isn't available as a file. We would need to rely on scholarly knowledge about Sadoleto's letter to Geneva (1539).");
console.log("Sadoleto's letter was published in 'A Reformation Debate: Sadoleto's Letter to the Genevans and Calvin's Reply' (ed. John C. Olin).");

This strikes me as odd? Did Claude write a script to generate its own response? Have coders put something like this in as a gaurdrail?

edit: details about earlier convo

I want something like typingmind but for free, and that doesn't require installation. mainly for gemini and mistral (or perhaps groq too) I just want to be able to paste my API key and just use it. I know about OpenWebUI and msty but OpenWebUI requires installation, and msty doesn't have an android version.

anyone know something like this ? (would also be nice if it supports LaTeX)

Apologies if this isn't an appropriate place to post this.

Inspired by a paper I found a while back (https://publications.lib.chalmers.se/records/fulltext/215545/local_215545.pdf), I tried my hand at implementing a program (in C#) to create ASCII art from an image. It works pretty well, but like they observed in the paper, it's pretty slow to compare every tile to 90-some glyphs. In the paper, they make a decision tree to replicate this process at a faster speed.

Recently, I revisited this. I thought I'd try making a neural net, since I found the idea interesting. I've watched some videos on neural nets, and refreshed myself on my linear algebra, and I think I've gotten pretty close. That said, I feel like there's something I'm missing (especially given the fact that the loss isn't really decreasing). I think my problem is specifically during backpropagation.

Here is a link to the TrainAsync method in GitHub: https://github.com/bendstein/ImageToASCII/blob/1c2e2260f5d4cfb45443fac8737566141f5eff6e/LibI2A/Converter/NNConverter.cs#L164C59-L164C69. The forward and backward propagation methods are below it.

If anyone can give me any feedback or advice on what I might be missing, I'd really appreciate it.

Playing with Llama 7B and 13B, I found that the 13B model was capable of doing a simple task, rewriting titles in sentence case for Tildes submissions. The 7B model doesn't appear capable of the same task, out of the box.

I heard about Android's new AICore available on a couple of new devices. But it sounds like Gemini Nano, which runs on-device, can only handle 2B or 3B parameters.

Is this size of model useful for real tasks? Does it only become useful after training on a specific domain? I'm a novice and wanting to learn a little bit about it. On-device AI is an appealing concept to me.

Hey, good people of Tildes!

I'm building a self-help web app, a small part of which I'd like to involve some pixel pets. I like pixel art and it'd be great if I could create some. Though, the truth is, I can't draw for shit, I have little to no imagination, and I'm afraid even if I put the time and effort into it, I still may not produce something I'd call good enough to put on the website. I also lack the motivation to spend a lot of time learning how to create good pixel art, as I only need it for this project.

I thought about paying some professional(s) to do it but that would probably break the bank for me, as I want to offer the users a lot of pixel pet options, which brings us to what I guess is the only remaining option.

I found some services that offer AI-generated pixel art. This one in particular looks like what I'm looking for and also offers animations. While watching a demo of it on YouTube, I noticed a few comments voicing concern about the ethics of selling art that's generated using models trained off of unpaid artists' work. While this is not a new topic, I admittedly hadn't given it much thought before, as I've never used, or planned to use AI-generated art in a meaningful capacity.

While I'm not sure whether it changes much, for what it's worth, I should note that my web app is going to be free, open-source, and ad-free forever.

What are your thoughts? Also, I'd love to know if there are options that I missed!

I have been having fun learning about generative AI. All in the cloud -- I got some models on hugging face to work, tried out Colab Pro, and found another cloud provider that runs SD models (dreamlook.ai if anyone is interested).

It's got me curious about trying to run something locally (mostly stable diffusion/dreambooth, possibly ollama).
I currently have a Thinkpad T490 with 16 gb ram and the base-level graphics card. I haven't actually tried to run anything locally, on the assumption that it would be extremely slow. I saw that you can get an external GPU, though I also saw some reports of headaches trying to get external GPUs up and running.

I am curious what a workstation might cost that could do a reasonable job running local models. I am not a huge gamer or have any other high performance needs that are not currently served by the Thinkpad; not sure I can justify a $3000 workstation just to make a few jpgs.

I would be happy to buy something secondhand, like if there was a good source of off-lease workstations.

Alternatively-- if you have a similar computer to the T490 and do run models locally, what sort of performance is reasonable to expect? Would it be enough to buy some more RAM for this laptop?

Thanks for any advice!

I was fortunate enough to grab a discounted 4090 while on my travels and just got everything installed. Already having a lot of fun pumping all my games to max settings, but I'm also interested in running generative AI stuff locally to really take advantage of all that VRAM.

Do you have any newbie-friendly Windows 11 software to recommend for getting started? Thanks!

Hello,
I'm looking for resources on how to develop AI, aimed at people who already have experience with programming.

They don't have to be free, I would just like to aggregate different type of resources to pick from.

Thanks!