Mercury 2: The fastest reasoning LLM, powered by diffusion

Mercury 2 just crashed the party claiming the world’s fastest “thinking” AI, boasting over 1,000 words-per-second style output and a new diffusion trick that drafts and refines in parallel instead of pecking one word at a time. Translation: less typewriter, more instant editor. The company touts real-time voice agents, coding assistants, and jam-free workflows — plus wallet-friendly pricing — but the crowd isn’t buying pure hype without receipts. The hottest take? “Intelligence per second.” One commenter wants a scoreboard that blends smarts and speed, turning model choices into a race, not just a beauty contest. Another is thrilled this could enable multi-shot prompts and gentle “nudges” without users noticing, potentially taming those weird AI hallucinations. But the vibe gets messy: skeptics ask what actually changes beyond shorter waits, especially for coding where quality still bottlenecks outcomes. And the demo? A queue turned into the villain. Users joked you can’t feel “instant” if you’re stuck in line — fastest model, slowest lobby. Memes flew: “Fast enough to beat autocorrect,” “Speedrun to wrong answers,” and “The world’s quickest ‘hold please.’” Meanwhile, fans say voice interfaces and multi-step AI agents are where speed becomes magic. The verdict: big claims, bigger expectations, and the community wants proof under load, not press quotes.