AI Weekly Malaysia

A satirical blog post (dated Sept 28, 2026, ~6 min read) argues LinkedIn's feed is dominated by near-identical computer-vision demo posts — hand-tracking webcam tricks and a pothole-detection project — which the author says are either tutorial-derived or vibecoded, and which in the pothole case 'is not sending it to anything.' As a counter-move, the author describes building a 'YOLO Post Detector' aimed at the '🚀 Excited to announce...' style of post. The Hacker News thread drew 270 points and 222 comments.

Why: If you are building a portfolio or launch demo to post publicly, this piece gives a concrete differentiation test rather than a vibe check: does the output go somewhere? The author singles out the pothole detector because it only displays a detection locally instead of feeding an API or downstream action — the same criticism would apply to any hand-tracking or object-detection demo that ends at a bounding box on screen. Decide now whether your next demo has a consumer of its output (an alert, a ticket, a dashboard, a dataset) or is just a webcam effect, because the audience this piece represents can no longer tell them apart. Note: the text contains no Malaysian or Southeast Asian angle, so there is no local policy, funding, or infrastructure impact to draw from it.