AI - AI Dynamics

→ View original post on X — @swyx, 2026-04-04 01:50 UTC

Video Review Process with Annotations for Feature Implementation Testing

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@swyx

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04 April 2026 3h50

you literally watch the recorded videos of the feature working after its implemented

with annotation of whats being tested https://t.co/9puvHxvm8Q pic.twitter.com/HrltvzE03C
— swyx (@swyx) 4 avril 2026

you literally watch the recorded videos of the feature working after its implemented with annotation of whats being tested Rowan (@therook_) wait how do you review this, copy pasted code bypasses the whole junior dev eval idea? — https://nitter.net/therook_/status/2040218236885905850#m

Open Source and Local AI Models Competition Announcement

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04 April 2026 3h49

e competitor, you know, that kind of thing.Oh, I don't think he's ready. And that's the rub. Maybe you should just announce it for later this year: an open competitor, you know, that kind of thing. 1. Local models
2. Open source Oh, man. It sure would be interesting to be

Zero Budget Launch Video Impresses in Tech World

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04 April 2026 3h47

I've seen a lot of launch videos in my day. That one's pretty good. Zero dollar budget, huh? What a world we're in.

Brain Computer Interfaces Report and Analysis

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04 April 2026 3h43

Sorry. https://
x.com/scobleizer/lis
ts
… Here is the report. See section on brain computer interfaces:

AI-Powered Discovery: Building and Sharing Curated Lists

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04 April 2026 3h41

My AI found them. But that was for a report. In my list? https://
x.com/scobleizer/list I look at everyone’s following.

→ View original post on X — @jiqizhixin, 2026-04-04 01:40 UTC

Intelligent Remote Sensing Agents Transform Earth Observation with AI

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@jiqizhixin

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04 April 2026 3h40

What if Earth observation could truly think for itself? A collaborative team from Hong Kong University of Science and Technology, Northwestern Polytechnical University, Tsinghua University, and international partners have released a seminal survey on "Intelligent Remote Sensing Agents." This new paradigm shows how AI agents integrate perception, planning, memory, and tool execution to autonomously achieve complex geospatial understanding. This transforms remote sensing from passive data collection into proactive, intelligent decision support, far surpassing previous capabilities in urban governance, precision agriculture, ecological monitoring, and emergency response. Intelligent Remote Sensing Agents: A Survey Paper: github.com/PolyX-Research/Aw… Repo: github.com/PolyX-Research/Aw… Our report: mp.weixin.qq.com/s/QYAyTjaAa… 📬 #PapersAccepted by Jiqizhixin