Although AINNA NeuralOps has reached the highest level on the 科技 Readiness Level scale - TRL 9 - through MOSTI assessment, I do not see that as the finish line. In the AI era, even a mature 系统 must continue to improve, adapt and evolve.
Recently, AINNA智能体 AI has been upgraded to receive instructions and operate through Telegram. This type of capability 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 are 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 are moving the AI 智能体 beyond software and deeper into hardware - eventually directly into embedded chips.
For 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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关于eventually directly into embedded chips.For的例子很实用，适合团队继续讨论。
这篇文章对智能体 beyond softwa 80%的解释很清楚，实际操作的重点也很容易理解。 这个部分我还需要再想一下。
这篇文章把智能体 is ru 100%讲得比一般的AI介绍更具体。
100%这部分我看了几遍，值得再想。
这段关于100%的说明帮我把之前的问题连起来了。
看第二遍才注意到TRL 9 only proves的细节。