Grimy already pointed out that this article is non-scientific nonsense but there’s something else it’s missing: The efficiency of AI over time.
Qwen-3.8-27B is due out next week and it’s supposed to be on par with Claude (Sonnet, latest). That runs on a regular PC GPU.
Big AI isn’t the only game in town. They’re just what makes the non-tech news.
The open weights stuff gets drastic improvements every three months or so and there’s breakthroughs in efficiency every six months (ish). We’re only at the baby steps of AI tech and the advancement is behaving like a chaotic Moore’s Law that leapfrogs itself regularly, then stagnates for a bit, then there’s another big shift.
If this keeps up, the efficiency of AI will become something that makes using huge data centers for anything but training a waste.
Grimy already pointed out that this article is non-scientific nonsense but there’s something else it’s missing: The efficiency of AI over time.
Qwen-3.8-27B is due out next week and it’s supposed to be on par with Claude (Sonnet, latest). That runs on a regular PC GPU.
Big AI isn’t the only game in town. They’re just what makes the non-tech news.
The open weights stuff gets drastic improvements every three months or so and there’s breakthroughs in efficiency every six months (ish). We’re only at the baby steps of AI tech and the advancement is behaving like a chaotic Moore’s Law that leapfrogs itself regularly, then stagnates for a bit, then there’s another big shift.
If this keeps up, the efficiency of AI will become something that makes using huge data centers for anything but training a waste.