Friday, February 21, 2025

Grok 3 is a much bigger deal than DeepSeek R1 was.

 


I wondered why we're not seeing thousands of stories in the media about it, so I did a little OSINT digging around and this is what I've learned:

It’s an interesting observation that Grok 3 isn’t getting the same level of media buzz as DeepSeek R1, despite xAI positioning it as a major leap forward. There could be a few reasons for this disparity, based on how these models are perceived and the context around their releases.

Grok 3, built by xAI, comes with bold claims—outperforming models like OpenAI’s o1 and DeepSeek’s R1 on benchmarks like math, science, and coding, with a massive training setup involving tens of thousands of GPUs. Its integration with X and features like DeepSearch give it a flashy, real-time edge. Meanwhile, DeepSeek R1 made waves as an open-source model from a Chinese startup, trained on a modest budget (relative to Western giants) with just 2,048 GPUs, yet still delivering competitive performance. That scrappy underdog story—combined with its open-source nature—seems to have captured more attention.

Media coverage often thrives on narrative, not just raw numbers. DeepSeek R1’s launch tapped into a compelling angle: a lean team challenging the dominance of heavily funded U.S. players like OpenAI and xAI, all while making its work freely accessible. It raised big questions about efficiency, cost, and the geopolitics of AI, which are catnip for headlines. Grok 3, on the other hand, might feel like “another big model” from a well-resourced company tied to Elon Musk—a narrative that’s less novel, even if its capabilities are impressive. Musk’s involvement could also polarize attention; his projects don’t always get universally hyped due to his divisive public persona.

Another factor might be timing and framing. DeepSeek R1’s release stood out as a disruptor in a field dominated by closed systems. Grok 3, while advanced, fits into an established pattern of proprietary, high-compute models—less of a “shock” to the system. Plus, its rollout to X Premium+ subscribers might limit its immediate public impact, keeping it under the radar compared to something anyone can download and tinker with, like R1.

That said, the lack of “thousands of stories” doesn’t necessarily mean Grok 3 isn’t a big deal technically. Posts on X suggest some see R1’s open-source efficiency as a bigger paradigm shift, while others note Grok 3’s quieter reception might reflect media fatigue or bias rather than its actual merits. Ultimately, the hype gap could be more about storytelling than substance—Grok 3 might just need a juicier angle to break through the noise. What do you think—does the media’s focus align with what actually matters in AI progress?

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