Progress doesn’t slow down for anyone. πŸš€
In The Bull at the Gate, artificial intelligence advances at a pace that no human organisation can fully control.
This is a novel about power, panic, and the fear of becoming irrelevant. Not speculative fantasy, but a reflection of the pressures shaping today’s tech industry.
Compelling, unsettling, and frighteningly plausible.
πŸ”— - https://meganpublishingservices.com/product/the-bull-at-the-gate/
#ArtificialIntelligence #TechNovel #CorporateThriller #FutureOfAI #books #HumanCost πŸ“‰πŸ€–
In this riveting novel of academic bravado, scientists claim to generate high-res images using WiFi signalsβ€”because who needs cameras anymore, right? πŸ“‘πŸ€― Perhaps next they'll use Bluetooth to bake a cake or Ethernet to paint a masterpiece. 🍰🎨 Just remember to donate to the Simons Foundation, folks! πŸ’ΈπŸ˜
https://arxiv.org/abs/2506.10605 #academicbravado #WiFiInnovation #futureofscience #technovel #SimonsFoundation #HackerNews #ngated
High-resolution efficient image generation from WiFi CSI using a pretrained latent diffusion model

We present LatentCSI, a novel method for generating images of the physical environment from WiFi CSI measurements that leverages a pretrained latent diffusion model (LDM). Unlike prior approaches that rely on complex and computationally intensive techniques such as GANs, our method employs a lightweight neural network to map CSI amplitudes directly into the latent space of an LDM. We then apply the LDM's denoising diffusion model to the latent representation with text-based guidance before decoding using the LDM's pretrained decoder to obtain a high-resolution image. This design bypasses the challenges of pixel-space image generation and avoids the explicit image encoding stage typically required in conventional image-to-image pipelines, enabling efficient and high-quality image synthesis. We validate our approach on two datasets: a wide-band CSI dataset we collected with off-the-shelf WiFi devices and cameras; and a subset of the publicly available MM-Fi dataset. The results demonstrate that LatentCSI outperforms baselines of comparable complexity trained directly on ground-truth images in both computational efficiency and perceptual quality, while additionally providing practical advantages through its unique capacity for text-guided controllability.

arXiv.org
πŸš€ Behold, the tech equivalent of writing a novel in Klingon: a #BitTorrent tracker in Elixir! 🀯 Because if you can’t blow minds with function, at least you can with your choice of obscure languages. πŸ™„
https://github.com/Dahrkael/ExTracker #Elixir #TechNovel #ObscureLanguages #MindBlown #HackerNews #ngated
GitHub - Dahrkael/ExTracker: Elixir-powered BitTorrent Tracker

Elixir-powered BitTorrent Tracker. Contribute to Dahrkael/ExTracker development by creating an account on GitHub.

GitHub