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SeeAEye Twitch stats

Primary language: EN
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I wanted to see if I could create a Machine Learning agent that could play video games, and "learn like a human". I started with Jump King because it's a game I have never played before, so I could devise "solving" problems the same way I thought about them as they came up.

Tracked since . Profile details synced .

Tracked streams
1
Highest tracked viewers
1,208

Games and categories

Every category we have observed SeeAEye streaming in the last 7 days.

Categories streamed
0

Observed in the last 7 days

Most streamed
—

No category airtime observed yet

Highest average audience
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No category has reached 5 tracked hours yet

Category detail

0 hours of tracked airtime across 0 categories.

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No category time recorded for this period

We have not observed this channel broadcasting in any category in the last 7 days.

Category time comes from the category recorded on each sample of a live broadcast, so a stream that switched games contributes to more than one row. Hours watched is an estimate derived from sampling, not a figure Twitch publishes.

This channel is being tracked. Charts and statistics will build as more data is collected. How these numbers are calculated.