Okay, so this is a PySpur ad, alright. Since I'm interested in this kind of tools, and I see on their GitHub that they don't have loops yet, I have to ask: does anyone know of a similar tool (node/DAG-based) that does support looping?
It seems to be a common problem; so far, I've played with Rivet, n8n, and "LLM Party" nodes for ComfyUI; they all seem to focus on everything other than allowing to conveniently loop the flows.
They should have also posted the PySpur pipeline, it would be interesting to see the agentic flow they used in this article. I am doing a lot of this kind of worflows manually, copy pasting stuff, I'd like to have some tools to design AI flows. PySpur looks pretty interesting visually.
One little thing I consider a brilliant UX innovation of ComfyUI is that it automatically embeds the entire workflow as metadata in images it produces. That means you can take any image generated in ComfyUI and just drag&drop it into the ComfyUI, and it'll recreate the workflow that produced it. This also enables a neat way of sharing workflows explicitly - you export it as a PNG[0] and publish it, and others can both view it as an image and import it into their ComfyUI instance. As a result, if you see someone sharing their AI art or workflow made with ComfyUI, there's a good chance you can literally just drag&drop the image to get the "source code".
I think all node-based tools should offer this kind of export, and I humbly suggest that PySpur would benefit from having it too :).
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[0] - Right click on canvas, Workflow Image -> Export -> png.
If this is the startup that finally unleashes AI spam bot articles and comments to the top of HackerNews, I'm gonna quit the internet and move into a log cabin.
Or we just skip the middlemen and exchange our prompts instead.
Back to the core issue - apparently few people took a long enough look at the article to notice it was co-written by AI; i.e. there were human editors in the loop. Sure, the format is a bit off-putting, but that's IMO mostly because nobody can be arsed to write like that, even if their own thesis supervisor told them they should, as proper structuring makes it easier for the reader to understand a complex topic.
Anyway, point is, I personally have no issue with people using AI to improve their texts - LLMs already are better at writing than most people anyway. Just as long as the saved effort is put into ensuring the content itself is valuable and communicated well.
no, for copyright and other social agreements, there has to be a declaration of authorship for original works.. maybe others can expand and clarify; certainly will vary on the major marketplaces in the world
> for copyright and other social agreements, there has to be a declaration of authorship for original works
It's the Internet - we never cared about such things here. Attribution and linking, yes. "Copyright" and "authorship of original works" - are you sure you're not a legacy publisher desperate to insert itself into the free exchange of knowledge and put up a toll gate? :).
I'm joking, but only a little. Unless you actually believe LLMs sin against the Church of Intellectual Property with every token they produce, this complaint feels out of place in context of a blog post summarizing research work done in the open. There are situations in which one could try to argue LLMs violate rights of some authors, but this isn't one of such situations.
it's not the bullet points per se, the general structure of the analysis has a certain vibe to it at a level deeper than that of just visual presentation
but this is something where it's up to you to decide what you want from your ghostwriting. my comments would not a system prompt make
it's funny that this was clear about 5% in just due to the classic chatgpt-style format and tone