I'm not sure where people are going with using LLMs for research on a topic.
LLMs construct documents like a middle manager trying to get you fired, so it's a bad idea to get a system to try to research something for you. Anytime I've used the ol' panopticon-homunculus for something applied and niche I always follow the source linked to verify it. And the source is vague and generally unverifiable. Humans can actually link other documents that are actually readable to a greater degree.
I think a large part of the blame is the dataset for large scale LLMs being thoroughly and disproportionality poisoned with popular media sites like Reddit.
It's not that things get more expensive as they get smaller. As long as you're within reasonable tolerances it can be more cost effective. There is very little reason in a consumer-grade product, especially a devboard, to push any major fabs' tolerances. SMD components are grain-sized and you can make traces pretty thin.
For example, this project is a 2-layer PCB. Those are bog standard. With this small of a footprint it can be printed on a single surface and cut out. The schematic they posted keeps everything on a single surface for print. This is also an operation any fab can easily perform. If you order from China, even cheaper (even accounting for duty cost + S&H).
I'd be more concerned about the MCU and the components rather than the cost of a custom PCB.
A subtle tell for generated text is just how damn flat it is to read. Not that technical documentation require some form of grand prose, but how unspecific the text can truly get. Reading a high school persuasive essay can have more detail, and those are often just written for a grade.
I can understand someone needing help with writing but getting an agent to do the job for you feels like a personal defeat.
I've used this site for years, I originally found it off their subreddit. When they finally moved to a dedicated site it really improved the whole user experience from whatever reddit CSS was doing.
The admins keep it consistently updated and remove problem sources on a regular basis.
Yet at the same time "towards" does not equate to "nearing". Relative terms for relative statements. Until there's a light at the end of the tunnel, we don't know how far we've got.
I think part of this is due to the AI craze no longer being in the wildest west possible. Investors, or at least heads of companies believe in this as a viable economic engine so they are properly investing in what's there. Or at least, the hype hasn't slapped them in the face just yet.
Agreed. Security is a task that not even a group of humans can perform with upmost scrutiny or perfection. 'Eternal vigilance is the price of liberty' and such. People want to move fast and break things without the backing infrastructure/maintenance (like... actually checking what the AI wrote).
Agreed, it's cherry picked and strange since a lot of western developers already profess a lot of these practices -- especially the "extensive comments" and "descriptive naming" points.
It reminds me a lot about "innovative Japanese management solutions" which consists of MBAs learning what a bottleneck is and that DevOps is just sensible basic business practice.
I think you need to spend some more time testing this service if you are advertising this as a service that inherently interfaces with humans. I see that others in this thread like the applications for scambaiting, but I don't fully understand the use case you have here. If it's AI on both ends of the phone... whats the point of the call in the first place? It's not that hard to get a human on the other line who is able to help me far better than any robotic agent could.
If the agent has trouble solving "complex verification or (providing) documents" I doubt that a monthly fee for simple tasks doesn't sound like a viable and sustainable business model. It sounds like the anti-social bunch would like it but past that it's going to be hard drumming up a lot of support.
My favorite is giant megacorps that literally make it impossible. One (recently) even told me, after wandering through the menu options, that they were going to text me a link to their app - and then hung up on me.
I already tried the app, their system was broken - that’s why I was trying to call and talk to a human!
can think of all sort of use cases - imagine you integrating it with an automated agentic workflow - where at some websites you need to talk to a bot or real human to get the job done in realtime - because email takes a while and may not be available (for e.g. at a restaurant) - this service can do the job as instructed by the LLM and get back to you for status. For e.g. if you want to call 10 restaurants to find out if a seat for 20 is available - you can just instruct it via an agent or so..
I think you underestimate the willingness of people to pay to troll, it may filter out people but an app that was (in theory) meant to be secure shouldn't think of a problem as filtering rather than securing. Admins knowing peoples' identities simply moves the weakest link in the chain to the admins. I think an app like this was doomed from the start and 4chan simply pulled the plug on an already leaking bathtub.
I've thought about buying throwaway phone numbers just to troll linkedin. I'd be surprised if people weren't finding ways to get accounts on apps like this for trolling.
The only reason I haven't is because it feels like LinkedIn may have already jumped the shark and I wouldn't really get the value for my money.
> Admins knowing peoples' identities simply moves the weakest link in the chain to the admins.
And now you have a better chance at pointing a finger at someone, at the very least. And the thought of that finger pointing would be enough to keep an admin on top of things.
LLMs construct documents like a middle manager trying to get you fired, so it's a bad idea to get a system to try to research something for you. Anytime I've used the ol' panopticon-homunculus for something applied and niche I always follow the source linked to verify it. And the source is vague and generally unverifiable. Humans can actually link other documents that are actually readable to a greater degree.
I think a large part of the blame is the dataset for large scale LLMs being thoroughly and disproportionality poisoned with popular media sites like Reddit.
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