I switched from chatgpt to Perplexity; and now to Kimi K2, after reading an article here explaining that all the fear around some of the Chinese models spying and so on.. is simply not true. I have to say that in my experience Kimi K2 is way better than perplexity. I hope we can get our act together. Seems that building this Ai's requires a level of collaboration that is in opposition to greed.
Everyone is worried about AI data centers destroying the planet with their extreme energy needs. Though it seems we have a big learning curve still to make AI inference and training more efficient.
How likely are we to NOT see the AI data center apocalypse through better algorithms?
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[ 4.2 ms ] story [ 37.1 ms ] threadEvaluation Benchmarks Our evaluation encompasses three primary categories of benchmarks, each designed to assess distinct capabilities of the model:
• Language Understanding and Reasoning: Hellaswag [121], ARC-Challenge [14], Winogrande [83], MMLU [36], TriviaQA [47], MMLU-Redux [26], MMLU-Pro [103], GPQA-Diamond [82], BBH [94], and [105].
• Code Generation: LiveCodeBench v6 4 [44], EvalPlus [60].
• Math & Reasoning: AIME 2025, MATH 500, HMMT 2025, PolyMath-en.
• Long-context: MRCR 5 , RULER [38], Frames [52], HELMET-ICL [118], RepoQA [61], Long Code Arena [13] and LongBench v2 [6].
• Chinese Language Understanding and Reasoning: C-Eval [43], and CMMLU [55].
How likely are we to NOT see the AI data center apocalypse through better algorithms?