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"Negative Latency"

TechLinked@techlinked532.1K viewsOct 12, 20196:57
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YT
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Negative Latency explores the concept of Stadia attempting to overcome traditional streaming delays by using AI to predict user inputs, a technique likened to branch prediction in processors. The hosts discuss how Google’s stance on negative latency implies that game results could be seen before actual player actions, which immediately raises questions about feasibility in fast-paced AAA titles. They reference Google's statements from Stadia executives, noting that the approach would rely on powerful data center hardware and predictive algorithms rather than time warps to deliver a more responsive experience. The discussion then pivots to a skeptical take on how well such predictions would work in real time combat scenarios, acknowledging that the technique may not translate well to the precision required in action games. The segment provides context by mentioning the public discourse and skepticism around negative latency, including technical comparisons to branch prediction and the uncertainties about latency improvements in practice. The video also previews related tech gossip, including anticipated Google disclosures such as the Pixel 4 and the Pixelbook Go, weaving in how these rumors might reflect Google's broader hardware strategy. The hosts wrap by highlighting the broader implications for cloud gaming, noting that even if negative latency proves partially viable, it could still redefine expectations for streaming platforms and developer design choices while leaving room for substantial debate about its real world impact.

Topics · technology · cloud_gaming · hardware · gaming

Questions answered

What is the core idea behind negative latency in Stadia as discussed in the video?
The core idea is to use AI to predict user inputs so that game responses appear faster than the actual input, reducing perceived latency.
Why do the hosts compare negative latency to branch prediction?
Because branch prediction is a known technique that anticipates future actions to speed up processing, and the hosts use it to illustrate how predictive input could work in games.