Mercury 2.5(inceptionlabs.ai)
241 points by Topfi | 48 comments
First screen, captured .
Looks similar
Mercury 2: Fast reasoning LLM powered by diffusion(inceptionlabs.ai)
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.
Mercury: Commercial-scale diffusion language model(inceptionlabs.ai)
375 points by HyprMusic | 162 comments
Inception Labs announcement of Mercury, a commercial-scale diffusion language model claimed to be up to 10x faster and cheaper than current LLMs.
Diffusion models from scratch, from a new theoretical perspective(chenyang.co)
342 points by jxmorris12 | 36 comments
A tutorial blog post by Chenyang Yuan explaining diffusion models from scratch through a new theoretical perspective.
Related stories
Mercury: Commercial-scale diffusion language model(inceptionlabs.ai)
375 points by HyprMusic | 162 comments
Inception Labs announcement of Mercury, a commercial-scale diffusion language model claimed to be up to 10x faster and cheaper than current LLMs.
Mercury: Ultra-fast language models based on diffusion(arxiv.org)
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.
Mercury 2: Fast reasoning LLM powered by diffusion(inceptionlabs.ai)
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.
Mercury 2.5 LLM hits 770 tokens per second(artificialanalysis.ai)
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.
What AI-Native Looks Like(fagnerbrack.com)
14 points by fagnerbrack | 7 comments
A blog post by Fagner Brack on Medium describing what an AI-native approach to software development with stable infrastructure looks like.
AI models may be capable of self-replicating without access to a datacenter(anthropic.com)
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.