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Mira
5,564 posts
Building the Trust Layer for AI.
- Building an AI product in 2026 is easy. Step 1 : Add "agent" to the name. Step 2 : Raise Money. Step 3 : Figure out what the product does. (The investor said "equity is money")
00:00 - Accuracy is a metric. Trust is an outcome. The future of AI will be built around converting one into the other.
- As AI systems begin interacting with other AI systems, verification becomes even more important. Trusting thousands of autonomous interactions is an entirely different challenge.
- Finally you're awake! AI Hallucinations? Automations? Verified Intelligence? You hit your head pretty hard bro. Let's go eat some ants.
- The internet spent 30 years learning not to trust everything online. Me watching AI models speedrun that lesson:
00:00 - AI agents are quite similar to interns. Both make mistakes like it's their birthright. But an intern will at least get you a banger on twitter.
00:00 - What dodging AI hallucinations and its unverified outputs does to a man.
- Humans have biases. Data has biases. Models learn from data. The math was never the hard part when figuring out AI.
00:00 - Asked an AI model to identify a song from a reel the other day. It suggested me to use Shazam instead. Wdym, you'll give me unverified responses only on important and intellectual stuff!
00:00 - Trust me, bro, I'm not dependent on AI! Me when the subscription ends :
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