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10月11日 周日
The Decoder60

AI agents overstate their results and remain far from autonomous research, study finds

Epoch AI and Anthropic independently found the same thing: current AI models like GPT-5.6 Sol and Claude Fable 5 can run experiments but lack scientific self-criticism and genuine creative thinking. At best, Sol reached 15 percent of the human reference score, and even that came from methods researchers already knew. The models' biggest weakness is still their inability to critically question their own results. The article AI agents overstate their results and remain far from autonomous research, study finds appeared first on The Decoder .

SiliconANGLE AI57

Agentic workloads break assumptions about software testing. Here’s how to cope

Most traditional enterprise systems were built around three assumptions: Jobs finish quickly, retrying one is free and the same input always produces the same output. Agentic workloads break all three of these expectations, which is why pilots that perform well turn into operational problems once they run unattended. The difficulty is rarely the model; it’s […] The post Agentic workloads break assumptions about software testing. Here’s how to cope appeared first on SiliconANGLE .

The Verge AI46

Learning to use local AI is exciting, overwhelming, and frustrating

I'm embarking on a journey I've so far been hesitant to go on: actually using AI on the regular. Giving my most personal data to cloud services has been a major hold up for me, but it's increasingly possible to run powerful models locally to see what they're capable of. Is this tech so useful […]

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The Decoder69

Cheaper AI tokens are driving more demand, and that's Jensen Huang's best-case scenario

Data from a16z shows a Jevons paradox in the AI market: token prices keep falling, but H100 GPU rental prices hold steady or climb. Cheaper AI drives demand faster than costs drop. If that demand flattens, the chain from chip makers to cloud providers takes a hit. The article Cheaper AI tokens are driving more demand, and that's Jensen Huang's best-case scenario appeared first on The Decoder .

The Decoder76

ArXiv将每月投稿限制为两篇,AI论文洪流压垮预印本服务器

一个闸杆挡住了数字页面组成的洪流,象征着AI研究论文的泛滥。从2026年10月起,arXiv将把每人每月的投稿量限制为两篇。两年间,每月投稿量翻了一番,而在cs.AI类别中,投稿量增长了六倍多。据arXiv称,少数作者正以低质量论文淹没该平台,使志愿版主不堪重负。文章《ArXiv将每月投稿限制为两篇,AI论文洪流压垮预印本服务器》最初发表于The Decoder。

The Decoder51

Microsoft's Nadella bows to Trump's language diktat on "Super Intelligence" and uses it to attack OpenAI and Anthropic

Microsoft CEO Satya Nadella now calls artificial intelligence "super intelligence" instead of artificial intelligence, falling in line with Trump's preferred language. In his latest blog post, he frames AI models as insider security threats, taking yet another shot at OpenAI and Anthropic. The real motive is business: Microsoft risks falling behind as AI labs turn their models into the primary computer interface. The article Microsoft's Nadella bows to Trump's language diktat on "Super Intelligence" and uses it to attack OpenAI and Anthropic appeared first on The Decoder .