#llmUnmoderated tagAll postsTrending CommunitiesWorldmappinHIVE CN 中文社区SplinterlandsActifitHive FoodPhotography LoversLeoFinanceHive LearnersGEMSBlack And WhiteHive GamingLifestyleExplore Communities...#llmTrendingHotNewPayoutsMutedrivalhw (81)in HIVE CN 中文社区 • 2 days agoAI最大的问题这两天有个热闹的话题，就是OpenClaw（龙虾）的创始人 Peter Steinberger 在X上贴出了自己使用的token消耗量，如下图， 图片来源于 Peter Steinberger X.com 上帖子 从截图上来看，他一个月消耗的 Token 数量为6030亿。 有人计算了下，相当于…nascimentoab (63)in #artificialinteligence • 7 hours agoThe Context Window Race: 1 Million, 10 Million, and What Actually WorksIn 2023, 4,096 tokens were the standard. In 2024, 128K became the new minimum for serious models. In 2026, several models announce 1 million tokens and two — Gemini 3.1 Pro and Llama 4 Scout — reach 10nascimentoab (63)in #artificialinteligence • 3 days agoGemma 4: Google Goes All-In with Apache 2.0 and On-Device AIWhen Google released Gemma 1 in 2024, the community reaction was mixed: the model was capable, but the license had restrictions that limited commercial use. Gemma 2 improved performance while maintainingnascimentoab (63)in #artificialinteligence • 5 days agoMistral Medium 3.5 and Grok 4.3: When Efficiency Becomes a Competitive AdvantageNot every advance in LLMs needs to come from trillion-parameter models. Late April and early May 2026 brought two releases that bet on a different premise: frontier-level performance at substantially lowernascimentoab (63)in #pt-br • 6 days agoA Corrida da Janela de Contexto: 1 Milhão, 10 Milhões, e o Que Realmente FuncionaEm 2023, 4.096 tokens eram o padrão. Em 2024, 128K virou o novo mínimo para modelos sérios. Em 2026, vários modelos anunciam 1 milhão de tokens e dois — o Gemini 3.1 Pro e o Llama 4 Scout — chegam a 10
