The most compelling version of why the AI bubble might burst isn't about the models.
It's about electricity. AI data centers are adding power capacity faster than any industry has ever built generation capacity in U.S. history. The grid interconnection queue sits at 474
Un día antes de ese desastre tuve un sueño devastador y como guardo todo
Mira el video primero deepseek se confunde y le pregunto nuevamente la fecha... No soy vidente creo que aveces el universo te manda señales, pero de que sirve si ni se sabe con precisión donde es o será.
Today I was testing GLM-5.3-Flash and it is one of the Open Weights that impressed me the most due to its real usefulness.
In Agent tasks, at its maximum effort, the model can respond almost to the same level as a GPT Terra or Opus 4.8, but being even cheaper than Deepseek v4 flash.
I'm trying local LLM, and it seems to have high performance.
Since I own an RTX5090, ・qwen2.5:32b ・deepseek-r1:32b I'm trying it out, and it works fine. And it's fast. Claude is stuck with the weekly limit and can't do anything, so I'm currently experimenting with local LLM, but “Why not a local LLM?”
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