Introducing Mercury 2 – Inception Today, we're introducing Mercury 2 — the world's fastest reasoning language model, built to make production AI feel instant.

No i kolejny #LLM - ech... Ale za to #Mercury2 wyróżnia się tym, że jest PIEKIELNIE szybki w rozumowaniu i to jego główny atut względem innych rozwiązań.

#AI

www.inceptionlabs.ai/blog/introdu...

🚨 أسرع نموذج ذكاء اصطناعي “حقيقي” متاح للتجربة دلوقتي… اسمه Mercury 2! ⚡🤯
مش هزار… ده نموذج بيكتب الرد قدّامك كأنه “بيتكوّن” لحظة بلحظة… بطريقة مختلفة تمامًا عن ChatGPT وClaude.

#Mercury2 #Mercury #AI #الذكاء_الاصطناعي #LLM #DiffusionModel #Coding #AIAgents #حسام_الدين_حسن
#خبير_اونلاين

Inception Ships Mercury 2 - A Diffusion LLM That Hits 1,009 Tokens Per Second Inception Labs launches Mercury 2, the first diffusion-based reasoning language model, generating over 1,000 tokens per second on Blackwell GPUs at a fraction of the cost of conventional autoregressive models.

Inception Ships Mercury 2 - A Diffusion LLM That Hits 1,009 Tokens Per Second

awesomeagents.ai/news/inception-mercury-2...

#InceptionLabs #Mercury2 #DiffusionLlm

This small chart tells you why #Mercury2 by #Inception is a big deal and how it is a leap of 11x against #Claude-Haiku4.5 and 14x over #GPT5-mini on real world testing comparisons without hardware upgrades.
#ChatGPT #Anthropic #dLLM #LLM #AI #ML #DiffusionLLM

#AIRevolution does their usual great explainers and graphics detailing #Mercury2 #dLLM by #Inception.
#AI #Reasoning #LLM #AI #ML
youtu.be/tjsnKGoatY0?...

Inception Labs Launches Mercury 2, 5x Faster Reasoning LLM Inception Labs launches Mercury 2, a diffusion-based reasoning LLM delivering 5x faster speeds and 1,196 tokens per second for real-time AI agents and coding workloads.

Mercury 2 just raised the bar on AI speed.

Inception Labs’ new diffusion LLM hits 1,196 tokens/sec at $0.38 per million — built for real-time agents and coding workflows.

This is a latency play, not a hype play.

#AI #LLM #Mercury2 #InceptionLabs #AIAgents
evolutionaihub.com/inception-la...

#Inception #Mercury2 #dLLM to learn more & start using it for faster inference. This is their quick ex. of how it fast it works vs other 'standard' autoregressive #LLM models offered. Considering multi #Agentic #AIagent workers & chatbots this is important.
#AI
www.inceptionlabs.ai/blog/introdu...

An explainer of how seed #diffusion works vs straight tokenization transformers. Seed diffusion is normally found in image generation such as Stable Diffusion, but it is working well on text also. A #Mercury2 Diffusion #LLM by #Inception comparison.
#PromptEngineering
youtu.be/Bqdf6Um_8OE?...

Blazing Fast Over 1000tok/s! The Inference LLM Blazing Fast Over 1000tok/s! The Inference LLM

[JP] 爆速1000tok/s超え！拡散モデル採用の推論LLM「Mercury 2」がAI生成の常識を塗り替える
[EN] Blazing Fast Over 1000tok/s! The Inference LLM

ai-minor.com/blog/en/2026-02-25-17719...

#Mercury2 #LLM #拡散モデル #AI #Tech

How are "Seed diffusion" #LLM models different than typical transformer token based models and why are they faster at reasoning for generating outputs of equal or better quality?
Learn about #Mercury2 #Inception 's latest in diffusion model.
Pick the right tool for the job
youtu.be/g3D3yYVCSYQ?...