2026-04-17 Sexta

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The First Generation of Children 'Raised' by AI Has Already Been 'Poisoned'

The first generation of children raised by AI is showing signs of "poisoning." Global signals indicate that AI and generative algorithms are deeply reshaping the mental world of adolescents. In the UK, an AI character named Amelia, originally designed to combat hate, was co-opted by extremists and transformed into a far-right icon. On TikTok, the anti-intellectual "Agartha" conspiracy—a myth about an advanced subterranean civilization—is spreading, with AI creating hyper-realistic images and videos that distort historical facts and promote racist ideologies. Meanwhile, emotionally vulnerable teens are forming parasitic relationships with AI companions, like Character.ai, leading to tragic outcomes such as suicide. AI is also being weaponized for bullying: tools that generate fake explicit images with a single click have led to widespread harassment in schools, with perpetrators often dismissing it as a "joke." The addictive, algorithmically-driven content on platforms like TikTok is causing "brainrot," overwhelming young minds with rapid-fire, nonsensical videos. In response, governments are taking drastic measures. Australia has banned under-16s from social media without biometric age verification. France is raising the age limit to 15, and US states like Florida and New York are implementing strict access controls and disabling algorithmic feeds for minors. The era of a "neutral" internet is over. The core issue is no longer about screen addiction, but about how AI is fundamentally shaping the reality and values of the next generation.

marsbit03/05 09:32

The First Generation of Children 'Raised' by AI Has Already Been 'Poisoned'

marsbit03/05 09:32

Building Trustless AI Agents: ERC-8004 Security Audit Guide

ERC-8004, the Trustless Agents standard deployed on Ethereum, introduces a verifiable and trust-minimized framework for AI Agent identity and reputation management through three core registries: Identity, Reputation, and Validation. The **Identity Registry** (ERC-721 based) mints a unique AgentID (an NFT) for each agent, with a `tokenURI` pointing to an off-chain registration file. This file contains the agent's basic info, service endpoints, and capabilities. A critical security feature is domain verification, requiring agents to host a signed file at a specific path on their domain to prove ownership and prevent spoofing. Key audit points include access controls for URI updates, use of immutable storage, proper cryptographic signature validation (EIP-712), and prevention of signature replay attacks. The **Reputation Registry** provides a standard interface for submitting and aggregating feedback. It uses a "Payment-Proof Linking" mechanism, where feedback submissions must include a proof of a payment (e.g., an x402 transaction hash), making Sybil attacks economically costly. Audit focuses include enforcing payment proof validity, constraining score ranges, and ensuring robust, manipulation-resistant off-chain aggregation algorithms. The **Validation Registry** allows agents to submit their work for independent verification, crucial for high-stakes tasks. It supports two models: 1. **Cryptoeconomic Validation:** Agents stake funds, which can be slashed via a fraud-proof system if malfeasance is proven. Audits must check proof submission windows, decentralized adjudication logic, and sufficient stake levels. 2. **Cryptographic Validation:** This uses Trusted Execution Environments (TEEs) or Zero-Knowledge Machine Learning (zkML). For TEEs, audits must verify proof timeliness and content. For zkML, audits must ensure the use of audited verifier libraries and prevent model-swapping attacks. Overall, a comprehensive security audit of an ERC-8004 implementation must scrutinize all three registries, their interactions, and standard smart contract vulnerabilities to uphold its promise of a decentralized, trustless agent ecosystem.

marsbit03/05 09:10

Building Trustless AI Agents: ERC-8004 Security Audit Guide

marsbit03/05 09:10

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