First screen, captured .
330 points by fittingopposite | 121 comments
Inception Labs blog post by CEO Stefano Ermon announcing Mercury 2, a fast reasoning LLM built on diffusion rather than autoregressive generation.
123 points by onnnon | 25 comments
241 points by Topfi | 48 comments
218 points by cmrdporcupine | 84 comments
Inception Labs blog post announcing Mercury 3, its diffusion-based large language model.
557 points by PaulHoule | 230 comments
arXiv paper from Inception Labs presenting Mercury, diffusion-based large language models for coding that generate multiple tokens in parallel at very high throughput.
330 points by fittingopposite | 121 comments
Inception Labs blog post by CEO Stefano Ermon announcing Mercury 2, a fast reasoning LLM built on diffusion rather than autoregressive generation.
36 points by artninja1988 | 26 comments
Anthropic Frontier Red Team post reporting experiments suggesting small AI models may soon self-replicate on commercial IoT devices without datacenter access.
360 points by swyx | 92 comments
Yi Tay's blog post on the experience of training large language models from scratch at a startup (Reka), covering compute, infrastructure, and lessons learned.
138 points by Retro_Dev | 81 comments
Artificial Analysis benchmark page for Inception's Mercury 2.5 model, covering intelligence index, output speed of 770 tokens per second, cost, and verbosity rankings.