US and tech firms strike deal to review AI models for national security before public release | Technology
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US and tech firms strike deal to review AI models for national security before public release | Technology
submitted by /u/Merchant_Lawrence [link] [comments]β¦
DeepSeek V4 being 17x cheaper got me to actually measure what I send to cloud vs what I could run locally. the results are stupid.
That foodtruck bench post showing deepseek v4 matching gpt-5.2 at 17x cheaper got me thinking. if frβ¦
I know this isnβt technically an LLM but OmniVoice is FUCKING AMAZING.
Literally one shot voice cloning and itβs literally so easy. What the FUCK. Itβs everything Iβve eveβ¦
I guess we expect that at some point RAM prices will start going back (close) to "normal", right? but what about GPUs?
I'm trying to refrain my self from buying an, extremely expensive, RTX 5090 FE (I don't really need β¦
Why run local? Count the money
Iβm not a coder, but I run local models. I gave in to agent hype (I was building my own, but there iβ¦
Reducing MP3 compression bias in music datasets via codec-aware reconstruction
I built a tool to improve decoding of MP3 files (LAME encoded) reducing systematic codec induced biaβ¦
Dense Model Shoot-Off: Gemma 4 31B vs Qwen3.6/5 27B... Result is Slower is Faster.
Not affiliated with Kaitchup, but a fan of their testing. I was looking forward to this article... aβ¦
Released a TurboQuant-compatible KV backend evaluation SDK
Disclosure: I am the author of this evaluation SDK. I released an independent TurboQuant-compatible β¦
tested four newest open source Kimi K2.6 is the fastest, GLM 5.1 the fanciest, DeepSeek V4 is the most comprehensive, and Xiaomi MiMo is the slowest
Architecture explains the gap: MiMo's MoE runs more active params per token than Kimi K2.6's optimizβ¦
Gemma 4 MTP released
https://huggingface.co/google/gemma-4-31B-it-assistant https://huggingface.co/google/gemma-4-26B-A4Bβ¦
Use Qwen3.6 right way -> send it to pi coding agent and forget
https://preview.redd.it/z4b01gklaczg1.jpg?width=1080&format=pjpg&auto=webp&s=3cefa63d5d15eac5eedbb39β¦
Supercharging LLM inference on Google TPUs: Achieving 3X speedups with diffusion-style speculative decoding- Google Developers Blog
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