@LinusEkenstam: Now this is bonkers
Summary
AI capabilities for expression recognition, object detection, and finger counting have achieved less than 1 second latency, highlighting notable real-time performance gains.
View Cached Full Text
Cached at: 09/24/26, 04:28 PM
πππ Now this is bonkers
Yohei (@yoheinakajima): all three at a time, down to less than 1 sec latency
- expression
- object detection
- finger count
Similar Articles
@yoheinakajima: got object detection down to below 0.35 sec latency locally
A developer shares their achievement of reducing object detection latency to below 0.35 seconds on local hardware, highlighting progress in AI performance optimization.
@LinusEkenstam: This is the state of AI video now
This post shares an overview of the current developments and trends in AI video technology.
@injaneity: https://x.com/injaneity/status/2075659478096376158
This article explains how batching and parallel operations improve latency and efficiency in AI computer use systems, highlighting open-source implementations like pi-computer-use and cua-driver that achieved significant performance gains before similar features appeared in Codex.
@yoheinakajima: fast enough for a live emotion detector
Yohei Nakajima tweeted about a technology fast enough for live emotion detection, emphasizing its real-time performance.
@LinusEkenstam: This is life-changing tech. We need less hype, and more stuff like this. Imagine how many people this can help
Bland launches Speech v3, claiming it's the world's first Human Speech Engine and top model in Design Arena's Audio Realism benchmark, surpassing ElevenLabs, Grok, Cartesia, and OpenAI.