The future of trustworthy AI starts with an architecture that carries its own evidence, making transparency and auditability native features, not afterthoughts.
Opinion by: Avinash Lakshman, Founder and CEO of Weilliptic
Today’s tech culture loves to solve the exciting part first — the clever model, the crowd-pleasing features — and treat accountability and ethics as future add-ons. But when an AI’s underlying architecture is opaque, no after‑the‑fact troubleshooting can illuminate and structurally improve how outputs are generated or manipulated.
That’s how we get cases like Grok referring to itself as “fake Elon Musk” and Anthropic’s Claude Opus 4 resorting to lies and blackmail after accidentally wiping a company’s codebase. Since these headlines broke, commentators have blamed prompt engineering, content policies, and corporate culture. And while all these factors play a role, the fundamental flaw is architectural.
You can get bonuses upto $100 FREE BONUS when you:
💰 Install these recommended apps:
💲 SocialGood - 100% Crypto Back on Everyday Shopping
💲 xPortal - The DeFi For The Next Billion
💲 CryptoTab Browser - Lightweight, fast, and ready to mine!
💰 Register on these recommended exchanges:
🟡 Binance🟡 Bitfinex🟡 Bitmart🟡 Bittrex🟡 Bitget
🟡 CoinEx🟡 Crypto.com🟡 Gate.io🟡 Huobi🟡 Kucoin.
Comments