Destination
AI benchmarks systematically ignore how humans disagree, Google study finds

A Google study finds that the standard three to five human raters per test example often aren't enough for reliable AI benchmarks, and that splitting your annotation budget the right way matters just as much as the budget itself.<br /> The article AI benchmarks systematically ignore how humans disagree, Google study finds appeared first on The Decoder. [...]

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How I Get Free Traffic from ChatGPT in 2025 (AIO vs SEO)

Three weeks ago, I tested something that completely changed how I think about organic traffic. I opened ChatGPT and asked a simple question: "What's the best course on building SaaS with Wor [...]

Match Score: 66.37

venturebeat
Upwork study shows AI agents excel with human partners but fail independently

Artificial intelligence agents powered by the world's most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking re [...]

Match Score: 54.30

venturebeat
From human clicks to machine intent: Preparing the web for agentic AI

For three decades, the web has been designed with one audience in mind: People. Pages are optimized for human eyes, clicks and intuition. But as AI-driven agents begin to browse on our behalf, the hum [...]

Match Score: 50.29

Destination
New York Times says xAI systematically pushed Grok’s answers to the political right

Elon Musk says his AI chatbot Grok is committed to "political neutrality" and being "maximally truth-seeking," according to xAI. But a recent New York Times analysis shows that Gro [...]

Match Score: 43.24

Destination
Most LLM benchmarks are flawed, casting doubt on AI progress metrics, study finds

A new international study highlights major problems with large language model (LLM) benchmarks, showing that most current evaluation methods have serious flaws.<br /> The article Most LLM benchm [...]

Match Score: 42.31

Destination
AI benchmarks are broken and the industry keeps using them anyway, study finds

Benchmarks are supposed to measure AI model performance objectively. But according to an analysis by Epoch AI, results depend heavily on how the test is run. The research organization identifies numer [...]

Match Score: 39.96

venturebeat
Google’s new Deep Research and Deep Research Max agents can search the web and your private data

Google on Monday unveiled the most significant upgrade to its autonomous research agent capabilities since the product's debut, launching two new agents — Deep Research and Deep Research Max †[...]

Match Score: 39.35

Destination
AI agent benchmarks obsess over coding while ignoring 92% of the US labor market, study finds

A large-scale study shows that AI agent development focuses almost entirely on programming tasks, ignoring the vast majority of the labor market.<br /> The article AI agent benchmarks obsess ove [...]

Match Score: 38.64

venturebeat
Large reasoning models almost certainly can think

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of Th [...]

Match Score: 37.64