Inception (@_inception

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Welcome to the diffusion era. We bet on parallel generation years ago, when it was a contrarian idea. It's great to see the industry arrive. Mercury 2 continues to lead the Pareto frontier for quality, speed, and cost among publicly available diffusion LLMs.

🔔New cookbook: build a customer support voice agent with Mercury and @ElevenLabs. @anemenemily's walkthrough below: tool calls into a live database and streaming voice, all in one notebook. With Mercury, you don't have to choose between latency and intelligence. Diffusion LLMs

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Tokenmaxxing is out. Valuemaxxing is in says @adityagrover_ live at the Ai4 Podcast Pavilion, on the Inside @AsembleAI Podcast with Sam Dey. ⚡ The industry spent years optimizing for quality at any cost. Aditya's POV: that era's ending, and what comes next gets measured in

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Inception

@_inception_ai

Aug 25

Diffusion LLMs are the electric car of language models. Same interface. Fundamentally different machine under the hood. Our VP of Engineering @kumarc1 breaks it down on @theinfrapod, including why voice and search agents can't wait for one-token-at-a-time generation.

open.spotify.com

1,000 tokens per second: the case against predicting one word at a time (Kumar, VP of Engineering...

The Infra Pod · Episode

Inception

@_inception_ai

Aug 25

Heading to Ray Summit this week? Our Co-Founder and CTO, @adityagrover_ will be speaking 8/25 at 5 PM PT on Diffusion Large Language Models: Redefining the Token Efficiency Frontier. Afterward, we’re hosting an Inception social nearby on 8/25 at 7:30 PM! Come meet the team,

Inception x Ray Summit: Diffusion LLM Social · Luma

From luma.com