Decrypt’s Art, Fashion, and Entertainment Hub. Discover SCENEGrok-3, developed by Elon Musk’s xAI, was unveiled on Monday, with the company making bold claims about its capabilities while showcasing a massive computing infrastructure that signals even bigger ambitions.The announcement focused heavily on raw computational muscle, benchmark performance, and upcoming features, though many of the actual demonstrations felt like replays of what other AI companies have already achieved.The star of the initial part of the show wasn't the AI itself, but rather "Colossus," a behemoth cluster of 200,000 GPUs that powers Grok-3's training.The system came together in two phases: 122 days of synchronous training on 100,000 GPUs, followed by 92 days of scaling up to the full 200,000. According to the xAI developers, building this infrastructure proved more challenging than developing the AI model itself.The company already has plans for an even more powerful cluster, with Musk saying they are aiming for five times the current capacity, effectively building what would be the most powerful GPU cluster on earth.When it comes to performance, Grok-3 shows impressive results across standard AI benchmarks. The base model (the regular model without Chain of Thought and reasoning embedded) consistently tops the charts in math (AIME), science (GPOA), and coding (LCB) tests.It also seems very promising in blind tests.xAI confirmed that the mysterious model codenamed “Chocolate” was actually an early test version of Grok-3 that was uploaded to the LLM Arena.During those tests, it achieved the best ELO among all the LLMs, meaning users preferred its answers over the generations provided by all the other AI models in direct competition without knowing which model they were evaluating.This is probably the most accurate way to measure quality without giving models any chance to cheat on benchmarks by training their AIs on those datasets. This benchmark is based purely on preference and blind choice by thousands of anonymous users.xAI team shows off Grok 3's benchmark tests during a live presentation. Image: xAIA specialized "Reasoning Beta" variant of Grok-3, which employs internal chain-of-thought processing and additional computing at test time, pushes math scores even higher—reaching 93% on the AIME 2025 benchmark compared to the other best-performing models that rank below 87%.Interestingly, a smaller version called Grok-3 Mini Reasoning Beta sometimes outperforms its larger sibling, thanks to a longer training time.In other words, the full-size Grok-3 still has room for improvement once it receives comparable training duration, which seems promising given its greater parameter count.But when xAI moved to demonstrate Grok-3's capabilities live, the presentation felt more like a game of catch-up than innovation

With the launch today of Nova-3, its most advanced speech-to-text (STT) model to date, Deepgram is looking to offer greater accuracy along with self-service customization to tailor results for industry-specific needs.