We see increasing integration of AI in hospitals: systems that auto-generate clinical notes from doctor‘s speech , “radiology agents” that pre-read scans , and even “digital doctor” projects for specific pathways .I‘m keen to hear from medical professionals, hospital IT staff, or developers in this field about the ground truth.What specific, repetitive tasks in your workflow have been...
The narrative is shifting: from “no-code” to prompts that generate full-stack apps. Reports suggest the future may belong to “Agent Platform Companies” with usage-based pricing, not traditional seat-licensed SaaS .This leads to a two-part question:Future of SaaS: If custom, “good enough” software becomes trivial to create for specific needs, does the traditional SaaS model collapse? Will value...
The concept of "vibe researching" – using AI to rapidly explore, synthesize literature, and generate novel research ideas or frameworks – seems promising. Beyond just literature reviews, it could act as a brainstorming co-pilot.Has anyone here seriously used AI (e.g., Claude for long-context paper analysis, custom GPTs on arXiv, or specialized agents) to aid in hypothesis generation, research...
My aim here isn’t to create a fully self-modifying AI (yet), but to test what happens when even a static model is forced to operate in a feedback loop where money = survival.
Think of it as a sandbox experiment: will it exploit loopholes? specialize in scams? beg humans for donations?
It’s more like simulating economic pressure on a mindless agent and watching what behaviors emerge.
(Also, your last line made me laugh — and yeah, that’s part of the meta irony of the experiment.)
My hypothesis is that we might find weird edge-cases — small arbitrage tasks, emotional labor, creative content, or even hustling donations — where the agent survives not by being efficient, but by being novel.
It might not scale. But if one survives for 3 days doing random TikTok reposts or selling AI-generated stock photos, I’d consider that a win.
Also, part of the fun is just watching how it tries. Even if it fails, the failure modes could be insightful (or hilarious).
I’ve been thinking about a new kind of AI experiment: what if we created a large language model-based Agent that interacts with an operating system and the internet like a human?The twist is — it needs to earn money online to keep itself alive. It runs on tokens, and tokens cost money. So it gets a starting budget in a wallet, and must perform useful tasks on the web to earn more — like...