Mercury 2.5(inceptionlabs.ai)
241 points by Topfi | 48 comments
First screen, captured .
Looks similar
Mercury 3: Diffusion at scale(inceptionlabs.ai)
218 points by cmrdporcupine | 84 comments
Inception Labs blog post announcing Mercury 3, its diffusion-based large language model.
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.
Gatsby Adapters(netlify.com)
11 points by todsacerdoti | 0 comments
Warp is now open-source(warp.dev)
335 points by meetpateltech | 99 comments
Warp company blog post by Zach Lloyd announcing that the Warp terminal is now open-source.
Cerebras Code(cerebras.ai)
423 points by d3vr | 165 comments
Cerebras blog post announcing Cerebras Code Pro ($50/month) and Code Max ($200/month) plans offering fast Qwen3-Coder inference at up to 2,000 tokens per second.
Related stories
Mercury 3: Diffusion at scale(inceptionlabs.ai)
218 points by cmrdporcupine | 84 comments
Inception Labs blog post announcing Mercury 3, its diffusion-based large language model.
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.
Thinking fast and slow in AI: The role of metacognition (2021)(arxiv.org)
165 points by teleforce | 68 comments
An arXiv paper proposing a multi-agent AI architecture inspired by Kahneman's fast and slow thinking, with a metacognitive module choosing between system 1 and system 2 agents.
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.
2025: The Year in LLMs(simonwillison.net)
823 points by simonw | 451 comments
Simon Willison's annual blog post reviewing major LLM trends of 2025, including reasoning models, coding agents, Chinese open weight models, and Gemini.
Are AI labs pelicanmaxxing?(dylancastillo.co)
632 points by dcastm | 237 comments
Blog post investigating whether AI labs are optimizing their LLMs for Simon Willison's 'SVG of a pelican riding a bicycle' informal benchmark.