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 numerous variables that are rarely disclosed but significantly affect outcomes.<br /> The article AI benchmarks are broken and the industry keeps using them anyway, study finds appeared first on The Decoder. [...]
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 [...]
Microsoft on Tuesday released Phi-4-reasoning-vision-15B, a compact open-weight multimodal AI model that the company says matches or exceeds the performance of systems many times its size — while co [...]
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 [...]
I came into this review thinking of Private Internet Access (PIA) as one of the better VPNs. It's in the Kape Technologies portfolio, along with the top-tier ExpressVPN and the generally reliable [...]
Alfred Wahlforss was running out of options. His startup, Listen Labs, needed to hire over 100 engineers, but competing against Mark Zuckerberg's $100 million offers seemed impossible. So he spen [...]