Afroman found not liable in defamation case

<a href="https:&#x2F;&#x2F;openai.com&#x2F;index&#x2F;openai-to-acquire-astral&#x2F;" rel="nofollow">https:&#x2F;&#x2F;openai.com&#x2F;index&#x2F;openai-to-acquire-astral&#x2F;</a>

Astral to Join OpenAI

Austin’s surge of new housing construction drove down rents

Nvidia greenboost: transparently extend GPU VRAM using system RAM/NVMe

Afroman Wins Civil Trial over Use of Police Raid Footage in His Music Videos

Conway's Game of Life, in real life

2% of ICML papers desk rejected because the authors used LLM in their reviews

LotusNotes

Juggalo Makeup Blocks Facial Recognition Technology (2019)

One of those &#x27;woke up to MacOS updates&#x27; and finding none of my dockers are reachable via dnsmasq (which I use), and low and behold, an update silently breaks custom dns resolution. Hopefully Apple will listen to the bug report I&#x27;ve made. Hold off on updating if you use this…

macOS 26 breaks custom DNS settings including .internal

OpenBSD: PF queues break the 4 Gbps barrier

How many branches can your CPU predict?

Eniac, the First General-Purpose Digital Computer, Turns 80

Pretraining Language Models via Neural Cellular Automata

Kitten TTS (<a href="https:&#x2F;&#x2F;github.com&#x2F;KittenML&#x2F;KittenTTS" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;KittenML&#x2F;KittenTTS</a>) is an open-source series of tiny and expressive text-to-speech models for on-device applications. We had a thread last year here: <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=44807868">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=44807868</a>.Today we&#x27;re releasing three new models with 80M, 40M and 14M parameters.The largest model (80M) has the highest quality. The 14M variant reaches new SOTA in expressivity among similar sized models, despite being &lt;25MB in size. This release is a major upgrade from the previous one and supports English text-to-speech applications in eight voices: four male and four female.Here&#x27;s a short demo: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=ge3u5qblqZA" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=ge3u5qblqZA</a>.Most models are quantized to int8 + fp16, and they use ONNX for runtime. Our models are designed to run anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! This release aims to bridge the gap between on-device and cloud models for tts applications. Multi-lingual model release is coming soon.On-device AI is bottlenecked by one thing: a lack of tiny models that actually perform. Our goal is to open-source more models to run production-ready voice agents and apps entirely on-device.We would love your feedback!

HN