AINNA NeuralOps has reached TRL 9 - the highest level on the 科技 Readiness Level scale - through MOSTI assessment. But from my side of the 系统 integration work, that isn’t the finish line. In the AI era, even a mature 系统 has to keep improving, adapting, and evolving.
Recently, AINNA智能体 AI has been upgraded to receive instructions and operate through Telegram. That kind of command-and-control layer is already supported by a small number of advanced AI agent platforms such as Hermes 代理 and OpenClaw, and AINNA is now moving in the same direction through our own NeuralOps 架构.
But we’re not stopping at Telegram.
命令行 AI 智能体 is already 100% completed.
Web-based AI 智能体 is running.
Telegram control is 激活.
AINNA AI USB Stick and AI Card are now around 80%.
下一步, we’re moving AI 智能体 beyond software and deeper into hardware - eventually directly into embedded chips.
To me, TRL 9 only proves that the technology has reached a very high level of readiness.
But in AI, “ready” does not mean “finished.”
科技 will keep evolving.
And AINNA will keep evolving with it.
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难得有人把command-and-control讲得这么直白。
关于eventually directly into embedded chips的实际落地部分最吸引我。
这篇文章把TRL 9 only proves讲得比一般的AI介绍更具体。
关于AINNA AI USB stick的说明很完整，基础部分尤其清楚。
这篇文章适合团队用来开始讨论software and deepe 80%。
software and deepe 80%这个说法我要拿回去跟同事讨论。
收藏了，主要是为了command-and-control。
我会把TRL 9 only proves这一段分享给需要了解技术的同事。