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DeepMind's Andrew Trask on why the scaling laws are pushing AI from one big model toward a protocol: "The zoomed-out picture is that in the end, AI is gonna be a protocol instead of a program. We're seeing that evolution start to really gather steam as the scaling laws constrain how much data, compute, and talent one company can bring together." "When you combine models from multiple different providers, you're implicitly combining the data, compute, and talent that they trained on. So you can get better, faster models for a lower price, which is pretty crazy when you think about it." "If you want the absolute most accurate model, ensembling the top models is always going to win, you'll get higher scores than any single model. And if you want the best accuracy relative to any unit of price, ensembling some open and closed models is likely gonna own that Pareto frontier quietly for a while." "It won't be until there's a leaderboard that widely recognizes ensembles as comparable to individual models that we start to really see it. Then in 12 to 18 months, that saturates a bunch of benchmarks across the space, and the harnesses pick it up, routing you to the best combinations of models on the fly. That's when the market really starts to change in terms of how people buy intelligence." @iamtrask @openminedorg

华为云全球性故障，持续接近五个小时，高度疑似计划升级 IAM 导致。草台班子原理诚不欺我，上一次 IAM 故障带翻全球服务的还是阿里云。写了篇文章，简单聊了下。

尝试用AI做了个最近抖音爆火的梦的翅膀受了伤跳舞视频，效果有点惊艳，不带AI标志我真看不出来是AI生成的，这去抖音，小红书起号不随便爆吗哈哈哈 方法很简单， 1️⃣先用GPT-iamge-2生成一张游艇美女图， 2️⃣然后到剪映里搜梦的翅膀受了伤， 3️⃣选剪同款，上传照片，等待生成就可以了

Give your AI agent direct access to your AWS environment, securely. The Agent Toolkit for AWS connects via MCP with 15,000+ API actions and curated skills for deployments, configs, and troubleshooting. IAM keeps it scoped to exactly what you allow. Get Started:

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