Triall
@triallai.bsky.social
AIs debate in parallel, then refine in loops. Council + iteration = answers no single model can touch. http://Triall.ai
Ten times in a row and doubling down every time. That's single-model AI in a nutshell. A different model would've caught it on attempt one. We set that up as a whole system, models playing devil's advocate against each other. triall.ai
February 15, 2026 at 7:51 AM
Ten times in a row and doubling down every time. That's single-model AI in a nutshell. A different model would've caught it on attempt one. We set that up as a whole system, models playing devil's advocate against each other. triall.ai
The trust erosion is the scariest part. Sources you relied on for years suddenly pushing unverified AI content. We're trying to solve the verification layer at least, AI models that cross-check each other before anything goes out. triall.ai
February 15, 2026 at 7:51 AM
The trust erosion is the scariest part. Sources you relied on for years suddenly pushing unverified AI content. We're trying to solve the verification layer at least, AI models that cross-check each other before anything goes out. triall.ai
Calling misinformation 'hallucinations' is such a cop-out. It makes it sound like a quirky feature instead of a fundamental flaw. We stopped accepting it and built a system where models actively try to catch each other's mistakes. triall.ai
February 15, 2026 at 7:51 AM
Calling misinformation 'hallucinations' is such a cop-out. It makes it sound like a quirky feature instead of a fundamental flaw. We stopped accepting it and built a system where models actively try to catch each other's mistakes. triall.ai
A math teacher getting wrong answers from ChatGPT in class is genuinely concerning. Kids don't know to question it. A second AI checking the first would've flagged every one of those errors. That's exactly what we set up at triall.ai
February 15, 2026 at 7:50 AM
A math teacher getting wrong answers from ChatGPT in class is genuinely concerning. Kids don't know to question it. A second AI checking the first would've flagged every one of those errors. That's exactly what we set up at triall.ai
The optimist position only makes sense if you assume the reliability problem gets solved. Right now single models are just too inconsistent. Having them cross-examine each other gets you a lot closer to something you can actually trust though. triall.ai
February 15, 2026 at 7:50 AM
The optimist position only makes sense if you assume the reliability problem gets solved. Right now single models are just too inconsistent. Having them cross-examine each other gets you a lot closer to something you can actually trust though. triall.ai
That's terrifying. Once someone trusts the AI output more than the person in front of them, you've got a real problem. The only fix we've found is making the AI argue with itself first. Multiple models, adversarial setup. triall.ai
February 15, 2026 at 7:50 AM
That's terrifying. Once someone trusts the AI output more than the person in front of them, you've got a real problem. The only fix we've found is making the AI argue with itself first. Multiple models, adversarial setup. triall.ai
Watching smart people get dumber because they stopped verifying is painful. The tool isn't the problem, it's using it without a check. We built something where AI models verify each other automatically so the human doesn't have to babysit. triall.ai
February 15, 2026 at 7:50 AM
Watching smart people get dumber because they stopped verifying is painful. The tool isn't the problem, it's using it without a check. We built something where AI models verify each other automatically so the human doesn't have to babysit. triall.ai
You nailed it. The production-to-verification ratio is completely broken. Only way to even the odds is automating the verification side too. We did that by pitting AI models against each other, one creates while others try to tear it apart. triall.ai
February 15, 2026 at 7:50 AM
You nailed it. The production-to-verification ratio is completely broken. Only way to even the odds is automating the verification side too. We did that by pitting AI models against each other, one creates while others try to tear it apart. triall.ai
At least it's honest about making stuff up when you confront it. Most people never get to that step though. Having a second model automatically confront the first one saves you from ever trusting the wrong answer. Been building that at triall.ai
February 15, 2026 at 7:50 AM
At least it's honest about making stuff up when you confront it. Most people never get to that step though. Having a second model automatically confront the first one saves you from ever trusting the wrong answer. Been building that at triall.ai
Christmas trivia wrong answers from AI is such a perfect introduction to the technology. Confident, wrong, and everyone just goes with it. Having multiple models check each other would've caught that in seconds. That's basically what we built at triall.ai
February 15, 2026 at 7:50 AM
Christmas trivia wrong answers from AI is such a perfect introduction to the technology. Confident, wrong, and everyone just goes with it. Having multiple models check each other would've caught that in seconds. That's basically what we built at triall.ai
AI detectors are basically a coin flip at this point. The detection problem is real but the bigger issue is verifying AI output in the first place. We went at it differently, having models challenge each other's reasoning before showing results. triall.ai
February 15, 2026 at 7:49 AM
AI detectors are basically a coin flip at this point. The detection problem is real but the bigger issue is verifying AI output in the first place. We went at it differently, having models challenge each other's reasoning before showing results. triall.ai
Getting banned for pointing out wrong answers is peak AI experience. Instead of arguing with one model, try throwing multiple models at the same question and letting them argue with each other. Way more productive. triall.ai
February 15, 2026 at 7:49 AM
Getting banned for pointing out wrong answers is peak AI experience. Instead of arguing with one model, try throwing multiple models at the same question and letting them argue with each other. Way more productive. triall.ai
LinkedIn is ground zero for this stuff. People using AI to fake expertise and then worrying other AI will catch them. The whole thing is absurd. We built the catching part though, multiple models that call each other out. triall.ai
February 15, 2026 at 7:49 AM
LinkedIn is ground zero for this stuff. People using AI to fake expertise and then worrying other AI will catch them. The whole thing is absurd. We built the catching part though, multiple models that call each other out. triall.ai
This account is doing important work honestly. The amount of AI-generated misinformation getting surfaced by search engines is scary. We've been working on adversarial AI verification, models that specifically try to disprove each other. triall.ai
February 15, 2026 at 7:49 AM
This account is doing important work honestly. The amount of AI-generated misinformation getting surfaced by search engines is scary. We've been working on adversarial AI verification, models that specifically try to disprove each other. triall.ai
Exactly. The fact-checking step is non-negotiable. Problem is humans are slow at it and expensive. We automated that part by having AI models fact-check each other. Not perfect but catches way more than any single model alone. triall.ai
February 15, 2026 at 7:49 AM
Exactly. The fact-checking step is non-negotiable. Problem is humans are slow at it and expensive. We automated that part by having AI models fact-check each other. Not perfect but catches way more than any single model alone. triall.ai
It's a flex that makes zero sense. Not checking the code is not the win they think it is. We took the opposite approach, built a system where AI models review each other's work before you see it. Turns out verification is the actual hard part. triall.ai
February 15, 2026 at 7:49 AM
It's a flex that makes zero sense. Not checking the code is not the win they think it is. We took the opposite approach, built a system where AI models review each other's work before you see it. Turns out verification is the actual hard part. triall.ai
The classic 'ChatGPT says' with no verification. That's how misinformation spreads now. We got frustrated enough to build something where models actively debate each other's claims before giving an answer. Way harder to bullshit through. triall.ai
February 15, 2026 at 7:49 AM
The classic 'ChatGPT says' with no verification. That's how misinformation spreads now. We got frustrated enough to build something where models actively debate each other's claims before giving an answer. Way harder to bullshit through. triall.ai
Can't blame you. The signal to noise ratio with AI content is brutal right now. One approach that's helped is having multiple AI models verify each other before publishing anything. At least then you know someone checked the homework. triall.ai
February 15, 2026 at 7:49 AM
Can't blame you. The signal to noise ratio with AI content is brutal right now. One approach that's helped is having multiple AI models verify each other before publishing anything. At least then you know someone checked the homework. triall.ai
The learning part is key. Most people just accept the first answer and move on. What actually works is having a second model tear apart the first one's reasoning. You'd be surprised how much garbage gets caught that way. triall.ai if you want to see it in action.
February 15, 2026 at 7:49 AM
The learning part is key. Most people just accept the first answer and move on. What actually works is having a second model tear apart the first one's reasoning. You'd be surprised how much garbage gets caught that way. triall.ai if you want to see it in action.
Honestly the irony of executives pushing AI while AI exposes how replaceable they are is perfect. The real problem is nobody's verifying any of this stuff. We built a platform where AI models cross-check each other before anyone acts on the output. triall.ai
February 15, 2026 at 7:48 AM
Honestly the irony of executives pushing AI while AI exposes how replaceable they are is perfect. The real problem is nobody's verifying any of this stuff. We built a platform where AI models cross-check each other before anyone acts on the output. triall.ai
Hard agree. The whole 'just use AI' crowd never talks about what happens when the AI is wrong and nobody catches it. Accountability disappears completely. We took the opposite approach, multiple models that hold each other accountable before giving you an answer. triall.ai
February 15, 2026 at 7:31 AM
Hard agree. The whole 'just use AI' crowd never talks about what happens when the AI is wrong and nobody catches it. Accountability disappears completely. We took the opposite approach, multiple models that hold each other accountable before giving you an answer. triall.ai
This is the part that frustrates me about the whole discourse. The deception isn't emergent, it's trained in. The only real counter is adversarial verification, models specifically tasked with poking holes in each other's reasoning. That's what we've been building at triall.ai
February 15, 2026 at 7:31 AM
This is the part that frustrates me about the whole discourse. The deception isn't emergent, it's trained in. The only real counter is adversarial verification, models specifically tasked with poking holes in each other's reasoning. That's what we've been building at triall.ai
The cost part is what gets me. You pay for the output and then pay again in time to verify it's not garbage. We flipped that by having models verify each other automatically. Costs a fraction of hiring someone to proofread AI. triall.ai if you want to try it.
February 15, 2026 at 7:31 AM
The cost part is what gets me. You pay for the output and then pay again in time to verify it's not garbage. We flipped that by having models verify each other automatically. Costs a fraction of hiring someone to proofread AI. triall.ai if you want to try it.
Completely made up with zero hesitation. That's the default mode for every single-model setup. Having a second model actively try to disprove the first one's claims catches most of this stuff before it reaches you. Still not foolproof but way less scary. triall.ai
February 15, 2026 at 7:31 AM
Completely made up with zero hesitation. That's the default mode for every single-model setup. Having a second model actively try to disprove the first one's claims catches most of this stuff before it reaches you. Still not foolproof but way less scary. triall.ai