This has been my experience also, so far. I like a lot about this and want to start using it, but beyond the initial awkwardness of key bindings feeling wrong, it just seems a bit too early for me. For example, most of the agents I tried to get working on my Arch system failed to connect, only Claude Code and Vibe worked. Most worked on MacOS (except Codex, even though it's installed on my system). But I need to be able to set the agent into Bypass Permissions mode, and when I do, I'm still constantly prompted with permissions checks. There also seem to be weird errors caused by fish shell. I'd also really like to be able to define my own custom agents (eg one use case I'd like is to be able to launch Claude Code but swapping out the Anthropic endpoint for OpenRouter's so I can try new models using CC's agent harness).
It's possible this is just part of the learning curve, but it is making me think I'll have to come back to this project in a month or two to see if there are fewer pain points. Great work so far though.
Hey there! I'm Rowan. I've built and led software teams (at a molecular diagnostics lab and for a political advocacy project), built an award-winning synthetic bio video game, and have worked with startups and major research groups like at Stanford Health. Recent work of mine: published a survey of semantic search engines for science, building out python client for the vector database Antfly.
I don't consider myself a font snob but that web page was actually hard for me to read. Anyway, it's definitely capable according to my long-horizon text-based escape room benchmark. I don't know if it's significantly better than o3 yet though.
Hey there! I'm Rowan. I've built and led software teams (at a molecular diagnostics lab and for a political advocacy project), built an award-winning synthetic bio video game, and have worked with startups and major research groups like at Stanford Health. Recent work of mine: published a survey of semantic search engines for science.
Willing to relocate: yes, to SF, NYC, Seattle, Berlin, London, and possibly other EU cities
Technologies and tools: Python, TypeScript, AWS (+ a few certs), React, llama.cpp, MCP, HIPAA certified, experience with HL7 and EMR/EHR, competent in a wetlab
Hey there! I'm Rowan. I've built and led software teams (at a molecular diagnostics lab and for a political advocacy project), built an award-winning synthetic bio video game, and have worked with startups and major research groups like at Stanford Health. Recent work of mine: published a survey of semantic search engines for science.
Willing to relocate: yes, to SF, NYC, Berlin, London, and possibly other EU cities
Technologies and tools: Python, TypeScript, AWS (+ a few certs), React, llama.cpp, MCP, HIPAA certified, experience with HL7 and EMR/EHR, competent in a wetlab
Hey there! I'm Rowan. I've built and led software teams (at a molecular diagnostics lab and for a political advocacy project), built an award-winning synthetic bio video game, and have worked with startups and major research groups like at Stanford Health. Recent work of mine: published a survey of semantic search engines for science.
Technologies: Python, TypeScript, AWS (+ a few certs), React, Ansible, MCP, HIPAA certified, experience with HL7 and EMR/EHR
Hi, I'm Rowan. Would love to hear from you if you're working on data retrieval for agents. Previously built and led software teams, currently working on composing / semi-autonomous LLMs and climate data knowledge retrieval.
Willing to relocate: yes, to SF, NYC, Berlin, London, and possibly other EU cities
Technologies and tools: Python, TypeScript, AWS (+ a few certs), React, llama.cpp / local LLMs, Ansible, HIPAA certified, experience with HL7 and EMR/EHR, competent in a wetlab
Hey there! I'm Rowan. I have ~8 years experience in life sciences startups and research: I built and led the software team at molecular diagnostics lab, built an award-winning synthetic bio video game, and have worked with startups and major research groups like at Stanford Health. Recent work of mine: published a survey of semantic search engines for science and soon to launch a climate data research & analysis agent.
Dogs offer humans no economic value, but we haven't genocided them. There are a lot of ways that we could offer value that's not necessarily just in the form of watts and minerals. I'm not so sure that our future superintelligent summoned demons will be motivated purely by increasing their own power, resources, and leverage. Then again, maybe they will. Thus far, AI systems that we have created seem surprisingly goal-less. I'm more worried about how humans are going to use them than some sort of breakaway event but yeah, don't love that it's a real possible future.
Humans becoming domesticated by benevolent superintelligences are some of the better futures with superintelligences, in my mind. Iain M Banks' Culture series is the best depiction of this I've come across; they're kind of the utopian rendition of the phrase "all watched over by machines of loving grace". Though it's a little hard to see how we get from here to there.
Honestly that part of the article and some other comments have given me the idle speculation, what if that was the solution to the, "Humans no longer feel they can meaningfully contribute to the world," issue?
Like we can satisfy the hunting and retrieval instincts of dogs by throwing a stick, surely an AI that is 10,000 times more intelligent can devise a stick-retrieval-task for humans in a way that feels like satisfying achievement and meaningful work from our perspective.
(Leaving aside the question of whether any of that is a likely or desirable outcome.)
What will AI find fulfilling itself? I find that to be quite a deep question.
I feel the limitations of humans are quite a feature when you think about what the experience of life would be like if you couldn’t forget or experienced things for the first time. If you already knew everything and you could achieve almost anything with zero effort. It actually sounds…insufferable.
You might find Stanislav Lem's Golem XIV worth a read, in which a what we now call an AGI shares, amongst other things, its knowledge and speculations about long-term evolution of superintelligences, in a lecture to humans, before entering the next stage itself.
https://www.goodreads.com/book/show/10208493
It seems difficult to obtain an English edition these days but there is a reddit thread you might want to look into.
Willing to relocate: yes, to SF, NYC, LA, or Seattle
Technologies and tools: Python, TypeScript, AWS (+ a few certs), React, llama.cpp / local LLMs, Ansible, HIPAA certified, experience with HL7 and EMR/EHR, competent in a wetlab
Hey there! I'm Rowan. I have ~8 years experience in life sciences startups and research: I built and led the software team at molecular diagnostics lab, built an award-winning synthetic bio video game, and have worked with startups and major research groups like at Stanford Health. Recent work of mine: published a survey of semantic search engines for science and built a shared LLM playground on top of the chat platform Zulip.
It's possible this is just part of the learning curve, but it is making me think I'll have to come back to this project in a month or two to see if there are fewer pain points. Great work so far though.