Google Releases LiteRT.js: A JavaScript Binding of LiteRT That Runs .tflite Models in Browsers via WebGPU

Google released LiteRT.js, a JavaScript binding of LiteRT. LiteRT is Google’s on-device inference library, previously called TensorFlow Lite. LiteRT.js runs .tflite models directly inside the browser. Because inference stays local, Google cites enhanced user privacy, zero server costs, and ultra-low latency. What is LiteRT.js? It is not a new model format. Rather, Google compiled its…

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OpenAI’s new flagship model deletes files on its own, people keep warning

Users of OpenAI’s latest coding and cybersecurity-oriented flagship model, GPT-5.6 Sol, are posting horrifying accounts on social media, claiming the model just up and deleted their files, data, even entire databases on its own, without asking first. “GPT-5.6-Sol just accidentally deleted almost ALL of my Mac’s files,” wrote Matt Shumer, the founder and CEO of…

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PrismML Releases Bonsai 27B: 1-bit and Ternary Builds of Qwen3.6-27B That Run on Laptops and Phones

” style=”width:100%;border:0;height:600px;display:block;overflow:hidden;” scrolling=”no” loading=”lazy” title=”Bonsai 27B interactive explainer”> That architecture shapes the compression method below. How the Compression Works Each weight is a code, with one shared FP16 scale per group of 128. The effective weight is w_i = s_g · t_i. A ternary value carries log2(3) ≈ 1.585 bits. One FP16 scale per 128…

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