It got me thinking, are these AI Agents actually useful or valuable to anyone?
I'm fairly technical and I use AI to generate code to make POC projects go faster. I'm not on board with blindly 'vibe coding' though, I think it's dangerous and potentially slower when you get screwed over later trying to fix a large project. I think from other discussions, many on HN are in a similar boat as me - that is, using AI for code generation is certainly valuable, but having an 'agent' just 'work' for you probably isn't.
But anyways, research and outreach, how about those, anyone finding use for these use cases? I've seen a ton of criticism on these deep research products. They seem akin to summarizing the first page of links of a google search, and they're full of sources you'd want to ignore anyways for serious research (e.g. reddit posts). So I'm dubious as to their quality.
Another theme that I think could be useful is using LLMs as advanced/easier RPA tools. Basically, think RPA with some flexibility based on different contexts that can be captured via text. Maybe this is what this 'MCP' hype is all about.
So I'm very curious, who's using what would count as 'AI Agents' (i.e. something more than text chat/prompts), and getting real value from them?
runjake•1w ago
I would love an intelligent agent I can converse with via both voice and text that has access to all my information, privacy be damned.
cratermoon•1w ago
Allow me to introduce you to the first step fallacy. https://thebullshitmachines.com/lesson-16-the-first-step-fal...
I like to use the analogy of building a ladder to get to the moon. The first step fallacy says that building a tall ladder is just the first step to building a ladder tall enough to reach the moon.
runjake•1w ago
What I'm talking about isn't attainable via LLMs as far as I can tell, or at least, LLMs alone.
In other words, AI is not just about LLMs.
cratermoon•1w ago