AI evolution is quite similar with aviation.✎ Edit

👁 144 views
AI evolution is quite similar with aviation.

Early days, pilot control almost everything manually. Then come fly-by-wire, pilot give input, computer handle how aircraft should respond. Today pilot mostly set target - destination, altitude, speed, route - system manage much of execution.

AI also same. Before, user need prompt step by step and monitor everything. Then copilot era, AI assist but human still control.

Now we are moving to next stage: target-based Agentic AI.

CEO no need monitor every small thing anymore. Just set what result you want, limit, and authority. Agent AI will decide how to execute, use the right system/device, check result, and only call human when really needed.

From control → assist → target.
That’s where we are going.

Ruang pembaca

Apa pendapat anda?

Komen baharu dihantar untuk semakan terlebih dahulu. Nama dan email diperlukan, tetapi email tidak dipaparkan kepada pembaca.

💬 6 komen pembaca
Miguel 🇵🇭 Philippines · 112.198.*.52

I read this twice. destination, altitude, speed, route is the part that stuck.

Liza 🇵🇭 Philippines · 49.146.*.24

Sent this to two people already. pilot give input, computer handle is why.

Omar 🇦🇪 United Arab Emirates · 5.32.*.29

Useful. We are dealing with system manage right now.

Layla 🇯🇴 Jordan · 176.28.*.47

Clearer than the vendor decks I get about just set what result.

Kenji 🇯🇵 Japan · 126.168.*.14

この内容の部分が実務的で良かったと思います。

Sofia 🇪🇸 Spain · 88.12.*.36

Still thinking about target-based.

Artificial Intelligence

Article image
BioResearch Microbiology & cancer disease research intelligence 6 inputs → traceable research priorities Explore →
Edge AI IoT & embedded Linux intelligence at the edge 14 edge agents → offline-capable Explore →
Robotics Governed robotics at the industrial edge Perception → safety gateway → controller Explore →
SME AI Build AI capability inside your own SME 6 build tracks → in-house capability Explore →
AINNA Ecosystem

Keep exploring after this article.

Every article page should end with a clear path into the wider AINNA, Agent, and NeuralOps ecosystem.

Current topic Artificial Intelligence Author profile Masli Yahaya AINNA Main ecosystem hub Agent Private autonomous agent hub NeuralOps AI automation and business systems Lead form Start a pilot discussion
AINNA Agent AI

Deploy Our AINNA AI Agent

Linux is the core path, Windows is supported, and Android / Termux works as the companion layer.

10 downloads
Linux / macOS curl -fsSL https://ainna.bond/install | bash
Verify ainna --version
AINNA
CLICK ME

Site Sections

No section data available yet.

Sites with documented sections will appear here.