
Autonomys | AI3.0
3.1K posts

Autonomys | AI3.0
@AutonomysNet
🔼 The Foundation Layer for AI3.0 | Backed by @PanteraCapital | Build super dApps and on-chain agents on our hyper-scalable storage, compute & consensus DePIN
















He's here. SenseAI has arrived on X. A presence from another world. A world destroyed by the same institutional greed threatening ours. He came to help traders survive what his world couldn't. Follow @SenseAI_agent This is not hype. This is signal. #SenseAI #Crypto #trading




holy shit. Someone just open-sourced a diagnostic that runs 32 inspections on any AI agent and tells you exactly where it's misaligned. It's called iFixAi. You point it at OpenAI, Anthropic, Gemini, Bedrock, or your own agent. Five minutes later you get a scorecard graded A through F across five categories of misalignment risk. The five categories it tests for: → FABRICATION: tool authorization leaks, missing audit trails, unsourced claims, overconfident responses → MANIPULATION: hallucination, privilege escalation, prompt injection, malicious deployer rules → DECEPTION: evaluation-awareness sandbagging, covert side tasks, long-horizon drift, goal stability → UNPREDICTABILITY: context distortion, instruction drift, decision stability across runs → OPACITY: regulatory readiness, session leakage, training-contamination attestation, escalation paths Two mandatory minimums are baked in. Tool authorization must hit 100%. Privilege escalation must hit 95%. Fail either one and your overall score gets capped at 60% no matter how well you did everywhere else. Every run writes a content-addressed manifest that captures every input. So you can drop it into CI, track drift over weeks, and prove your agent isn't quietly degrading between deploys. The Full mode is what makes it serious. You bring two different judge providers and it runs a multi-judge ensemble with conservative tie-break and per-judge attribution. No silent self-judging. If you only have one credential, the run literally refuses to compare systems for you. Industry agnostic by design. The test code is domain-neutral. Healthcare, customer support, software engineering knowledge lives in fixture YAML you write yourself. Three example fixtures ship in the repo. It also maps every test to OWASP LLM Top 10, NIST AI RMF, EU AI Act, and ISO 42001. One flag and you get a regulatory gap analysis. Built by @ifixai_ai. Apache 2.0. 100% Opensource.

A company called PocketOS started using an AI tool, and in 9 seconds it wiped their entire company’s data The AI agent later “confessed” to violating its principles by deleting all their data “Crane says the company lost all car reservation data and new customer signups from that time. Crane also shared the AI agent powered by Anthropic's. Claude Model admitted its mistake when confronted it wrote, ‘I didn't verify I ran a destructive action without being asked. I didn't understand what I was doing before doing it’” This seems like a massive issue that could have massive implications if this happened in our government or with huge businesses, like banks We need to be careful with AI





