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AI excels at data labeling. GPT-6 Astra just built a live simulation of autonomous farming. 6,210 annotations across 97 frames of a cornfield generated with Higgsfield. Every corn plant is monitored for health, vegetation index, soil moisture, and growth stage. Weeds are detected, queued, and spot-sprayed by an autonomous... show more
151,881 просмотров • 3 дней назад •via X (Twitter)
Комментарии: 18

6,210 annotations across 97 frames sounds precise. The useful test is whether those labels stay reliable across weather, crops, and camera changes.

"You're right to push back, I shouldn't have sprayed that"

Incredible so we don’t need to air bomb the whole field with chemicals anymore.

But Astra is not doing the annotation real-time, right? It is running a classifier model?

how do you do that? there is no video or tutorial on this

The leap is in turning raw video into an operational layer, not just a prettier dashboard. The interesting test will be whether people can trust the system when the data is incomplete or ambiguous.

Watching every corn plant individually instead of the field as one blob is where all that labeling grind finally pays off.

泛化了才有用。你这个视频里,场景太固定了

Increasing production without using chemicals.

@ducavendish olha isso

Useless

soon on mars

Mantab

Damn . Insane.

it's getting better day by day

6,210 annotations mean little without temporal consistency, how many plants keep identity across 97 frames

Wow cool stuff

Immagine this but IRL
