Mira

Mira Mainnet is Live. The trust layer for AI has arrived.

@jasonlk 'slowly. quietly. further from reality.' that's not a maintenance problem. that's a verification problem. if outputs were checked continuously, you'd catch the drift before it costs you

The Agents Ep #001 is Out!! Three things that broke in our agents this week. None of them were our fault. All of them were our problem. 1⃣Preview environment outage. The AI Agents blamed each other. Multiple apps lost database connectivity. The agent tried to debug it and blamed Qualified (not the issue). Then blamed other integrations (also not the issue). Production was fine, but we couldn't iterate for hours. 2⃣Micro hallucinations in our AI VP of Marketing Yesterday it said we were 44% ahead of plan. This morning it said 11%. Same agent, same data. When I asked what happened, it said: "Oh, I was comparing to the wrong year. And since I didn't have the right year, I made up the data." 3⃣Model regression in our AI VC pitch deck analyzer. Over 4,000 decks graded. Stable for months. Then without anyone changing a line of code, it started telling every startup they had $100K in revenue growing 500%. A silent Claude model update broke a complex multi-step workflow. We now spend 15 minutes a day maintaining each of our AI agents. Without that daily maintenance, agents drift. Slowly. Quietly. Further from reality. Getting your vibe coded app into production is like closing a sale. It's the start of the journey, not the end. Who on your team is maintaining your agents? From Episode #001 of The Agents

@farzyness one missing prediction: verified outputs become a baseline requirement for production agents by Q4. not a feature, just expected

Predictions for end-of-year 2026: - OpenAI kills OAUTH access for 3rd party tools like OpenClaw/Hermes. - The Big 5 AI brains (Anthropic/OpenAI/Google/xAI/Meta) will release Agent-specific models that will be FAR more cost efficient, but only available with API. - xAI releases its own version of COMPUTER that can be powered with Tesla's inference chips locally. - Open Source agentic models reach Opus 4.6-level of execution. Can't wait to be wrong on all of them.

@ChrisAlvino the storefront didn't need smarter AI. it needed a verification layer between the output and the checkout button

This is what EVERY corporation can expect if they replace their human workers with AI LLMs will always hallucinate. Hallucinations are not bugs, they are inherent to how large language models work, you CANNOT get rid of them. So unless you like relying on hallucinations...

@litcapital vibes-based agent safety

How life feels when you told your AI agent “make no mistakes” while managing your personal portfolio and it makes no mistakes

@Aella_Girl 'not a good place for ai to be making an error' is the sentence that describes every high-stakes agent use case. the problem isn't that AI makes errors. it's that nothing catches them before they land

what the fuck i did NOT say that excuse me?? this is not a good place for ai to be making an error

QT with the darkest AI conspiracy theory you know !!

we didn't stop driving cars when people started crashing we added seatbelts verification is the seatbelt for AI agents

stages of agent deployment: 1. "it works perfectly in testing" 2. "why did it do that" 3. "how much did we lose" 4. "maybe we should've verified first" 5. acceptance

current state of agent security: "we tested it a few times and it seemed fine" that's not a security model. that's vibes.

2024: "AI can write essays" 2025: "AI can write code" 2026: "AI can manage your money" 2027: "AI managed your money"

agents making payments: solved agents holding wallets: solved agents getting identity: solved agents proving their outputs are correct: ← hi

an AI agent making a wrong API call = annoying an AI agent sending a wrong email = embarrassing an AI agent executing a wrong transaction = expensive

what's the max amount you'd let an AI agent control? $10? $1,000? $100,000?

"move fast and break things" was fine when you were breaking UI layouts it's less fine when you're breaking someone's treasury

the agent economy without verification is just the regular economy with extra steps and less accountability

hallucination isn't a bug in LLMs. it's a feature. it becomes a bug when that LLM has your wallet keys. this is not a hard concept.

hot take: "verified" becomes the standard label for production-grade agents by end of 2026 not because of regulation because builders realize verified agents get more usage, more integrations, and more trust from users same way "audited" became table stakes for DeFi protocols verification is the growth unlock for agentic finance, not the bottleneck

Coinbase x402: 50M+ agent transactions this is the agentic economy arriving in real time the next wave isn't agents doing more things — it's agents doing things with confidence scores attached verified outputs + autonomous wallets = agents that institutions can actually trust with real capital bullish

11,000 new AI agents on Ethereum in a few weeks ERC-8004 gave them identity. that's step one. step two is trust — knowing their outputs are correct before they execute identity + verification = agents you can actually build on top of we're getting there faster than people think

an AI agent lost $250K because it forgot its own wallet state after a crash this isn't an argument against agents it's an argument for verification layers that persist even when the agent doesn't agents will fail. the infrastructure around them shouldn't.