dlojudice

It would be great if there were a plugin/extension infrastructure. For example, to write the cache and costs however and whenever I see fit

> The conditions that allow multiagent interaction to go well will be discovered one way or another: either deliberately and early, or—and by default—in production, after agents’ interactions far outnumber ours. We would prefer the former.

My master's research focuses on coordination among LLM-based agents, driven by the same motivations as the article.

One phenomenon I have focused on, though it did not appear in this specific work, is bounded rationality. Yes, agents lack social perception, they focus on one-to-one tasks and are trained in game theory and other maximization strategies. Yet, what intrigues me most is that we humans rely on heuristics precisely because our capacity to maximize gains is severely limited, a limitation that gives rise to social emergent phenomenas. As models become increasingly capable of complex reasoning, the question arises: will interactions between them give rise to the same social properties we exhibit?

great idea! pls, hnmeetup.com/[place] anyone?

How many times have people posted here about how software is no longer optimized because CPUs keep evolving, making programmers lazy? It seems things have changed. The question is: will LLMs manage to squeeze the most out of this hardware, better than compilers do? In the few tests I’ve run, yes, a lot.

As a programmer and founder, I think the idea is incredible, I would just change the understanding of "Code", given that what we've been hearing most lately is that "a markdown file is all you need".

I think it's not too far-fetched to think about standards, cultures, guardrails, compliance, etc. being documented, versioned, but more importantly, verifiable and applicable. In natural language, no code needed.

It feels like Auto-GPT, BabyAGI, and the like were simply ahead of their time

Researcher Tatiana Coelho de Sampaio, PhD professor, who discovered polylaminin, a drug that has proven capable of reversing spinal cord injuries in humans, worked in silence for 25 years alongside a team of biologists to achieve this breakthrough

Cursor Composer appears to have this type of coupling and uses IDE resources better than other models on average.

Node-based workflow for AI generation seems to be the right approach. Being able to chain different models (Flux for realism, Sora for video, etc.) and do actual editing in between steps is way more useful than single-shot prompting. The ComfyUI comparison is obvious but this looks a bit more polished. The branching/remixing workflow could be interesting for iteration. Also being able to create a entire workflow with just one prompt would be nice.

Congratulations on your work. I spent the day working with a mix of the Composer/Sonnet 4.5/Gemini 2.5 Pro models. In terms of quality, the Composer seems to perform well compared to the others. I have no complaints so far. I'm still using Claude for planning/starting a task, but the Composer performed very well in execution. What I've really enjoyed is the speed. I had already tested other fast models, but with poor quality. Composer is the first one that combines speed and quality, and the experience has been very enjoyable to work with.