ViewTube

Four M5 Ultra Mac Studios, wired together with Thunderbolt 5 cables, ran Meta's 816-billion-parameter Muse Spark Open locally ...

Microsoft just ran a 137-billion-parameter coding model locally on a Windows laptop. Not through an API, not on a remote server, ...

The same Radeon GPU, the same Qwen model, no new quantization trick: 9.7 tokens per second became 37.2. llama.cpp already ...

A car dealer put a ChatGPT-powered chatbot on its website. Someone typed one instruction, and it agreed to sell a brand new ...

850 tokens per second. From a 35-billion-parameter model. On one RTX 5090, with the full 262K-token context window. That is ...

A lawyer asked ChatGPT for court cases. It gave him six. None of them existed, and when he asked if they were real, it said yes.

A 125-billion-parameter AI model, generating almost 100 tokens per second. On an RTX 5070 with 12 GB of VRAM. Not a server ...

A jailbroken PlayStation 5 is now running Qwen 3.8 27B locally on its own GPU, at around 20 tokens per second. Not through the ...

Strata vs llama.cpp's new expert cache on a 12GB RTX 4070 SUPER with 32GB of RAM. Same Qwen 3.8 Flash Next Coder file, ...

A 27-billion-parameter Qwen model ran with a one-million-token agent workspace on a laptop with a 24 GB GPU — and still ...

llama.cpp just made the exact same model run more than twice as fast on the exact same GPU. It is not a new quantization format, ...

A 502 GB model file. One RTX 5090 with 32 GB of VRAM. About 128 GB of system memory. Even combined, the model doesn't fit ...

In this video, I showcase a custom Python script that successfully *decrypts a `.pye` file* protected by SourceDefender 16.x.

An 82-gigabyte model file. A graphics card with 12 gigabytes of VRAM. And the model is generating tokens — not one every few ...

Welcome back to Eh?!? OOP! In Episode 3, we are having a real, unfiltered conversation about respect, boundaries, and the ...