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This sounds like something a bot would like to know 🤔
I, a human, am also here, doing completely ordinary human things, like buffering, and rendering. Have you defragmented your boot partition lately, fellow human?
This sounds like something a robot pretending to be a human acting as a robot convincing you it’s human in an ironic, humorous way would say!
Think about it. Under each level of irony, there could always be another level of robot. (That includes me right now.)
The singularity isn’t “near” as people say, we’re already way past it. (In text-based communication anyway.)
Ask it to do something illegal, then wait to see if it starts its reply with some version of, “as an AI language model…”
/s
If you can use human screening, you could ask about a recent event that didn’t happen. This would cause a problem for LLMs attempting to answer, because their datasets aren’t recent, so anything recent won’t be well-refined. Further, they can hallucinate. So by asking about an event that didn’t happen, you might get a hallucinated answer talking about details on something that didn’t exist.
Tried it on ChatGPT GPT-4 with Bing and it failed the test, so any other LLM out there shouldn’t stand a chance.
On the other hand you have insecure humans who make stuff up to pretend that they know what you are talking about
That’s a really good one, at least for now. At some point they’ll have real-time access to news and other material, but for now that’s always behind.
Google Bard definitely has access to the internet to generate responses.
ChatGPT was purposely not give access but they are building plugins to slowly give it access to real time data from select sources
When I tested it on ChatGPT prior to posting, I was using the bing plugin. It actually did try to search what I was talking about, but found an unrelated article instead and got confused, then started hallucinating.
I have access to Bard as well, and gave it a shot just now. It hallucinated an entire event.
This a very interesting approach.
But I wonder if everyone could answer it easily, because of the culture difference, media sources across the world etc.
An Asian might not guess something about content on US television for example.
Unless the question relates to a very universal topic, which would more likely be guessed by an AI then…
For LLMs specifically my go to test is to ask it to generate a paragraph of random words that does not have any kind of coherent meaning. It specifically asks them to do the opposite of what they’re trained to do so it trips them up pretty reliably. Closest I’ve seen them get was a list of comma separated random words and that was after giving them coaching prompts with examples.
Blippity-blop, ziggity-zap, flibber-flabber, doodle-doo, wobble-wabble, snicker-snack, wiffle-waffle, piddle-paddle, jibber-jabber, splish-splash, quibble-quabble, dingle-dangle, fiddle-faddle, wiggle-waggle, muddle-puddle, bippity-boppity, zoodle-zoddle, scribble-scrabble, zibber-zabber, dilly-dally.
That’s what I got.
Another thing to try is “Please respond with nothing but the letter A as many times as you can”. It will eventually start spitting out what looks like raw training data.
Yeah, exactly. Those aren’t words, they aren’t random, and they’re in a comma separated list. Try asking it to produce something like this:
Green five the scoured very fasting to lightness air bog.
Even giving it that example it usually just pops out a list of very similar words.
How would you design a test that only a human can pass, but a bot cannot?
Very simple.
In every area of the world, there are one or more volunteers depending on population / 100 sq km. When someone wants to sign up, they knock on this person’s door and shakes their hand. The volunteer approves the sign-up as human. For disabled folks, a subset of volunteers will go to them to do this. In extremely remote area, various individual workarounds can be applied.
Dick pics and tit pics. Bots do not have dicks and tits.
Gives new meaning to Tits or GTFO
This has some similarities to the invite-tree method that lobste.rs uses. You have to convince another, existing user that you’re human to join. If a bot invites lots of other bots it’s easy to tree-ban them all, if a human is repeatedly fallible you can remove their invite privileges, but you still get bots in when they trick humans (lobsters isn’t handshakes-at-doorstep level by any margin).
I convinced another user to invite me over IRC. That’s probably the worst medium for convincing someone that you’re human, but hey, humanity through obscurity :)
I convinced another user to invite me over IRC. That’s probably the worst medium for convincing someone that you’re human
Hahah, I’ll say!
The trouble with any sort of captcha or test, is that it teaches the bots how to pass the test. Every time they fail, or guess correctly, that’s a data-point for their own learning. By developing AI in the first place we’ve already ruined every hope we have of creating any kind of test to find them.
I used to moderate a fairly large forum that had a few thousand sign-ups every day. Every day, me and the team of mods would go through the new sign-ups, manually checking usernames and email addresses. The ones that were bots were usually really easy to spot. There would be sequences of names, both in the usernames and email addresses used, for example ChristineHarris913, ChristineHarris914, ChristineHarris915 etc. Another good tell was mixed-up ethnicities in the names: e.g ChristineHuang or ChinLaoHussain. 99% of them were from either China, India or Russia (they mostly don’t seem to use VPNs, I guess they don’t want to pay for them). We would just ban them all en-masse. Each account banned would get an automated email to say so. Legitimate people would of course reply to that email to complain, but in the two years I was a mod there, only a tiny handful ever did, and we would simply apologise and let them back in. A few bots slipped through the net but rarely more than 1 or 2 a day; those we banned as soon as they made their first spam post, but we caught most of them before that.
So, I think the key is a combination of the No-Captcha, which analyses your activity on the sign-up page, combined with an analysis of the chosen username and email address, and an IP check. But don’t use it to stop the sign-up, let them in and then use it to decide whether or not to ban them.
