Tag

#AI evaluation

5 stories taggedAI evaluation.

Photoreal editorial shot of a dimly lit network operations center at night, multiple monitors showing abstract dashboard graphs and topology maps, slightly out
Explained

Apple Researchers Built a Better Way to Judge AI Video Captions

A new method from Apple ML Research scores video captions on what they actually get right, not just whether they use the same words as a human writer.

4 min read
Close-up top-down view of a small wooden toy block and a soft rubber ball resting on a pale hardwood floor, warm natural window light casting gentle shadows, sh
Science & Space

AI test scores are hiding something. A new tool from Allen AI just exposed it

Researchers built software that looks inside AI benchmark tests, question by question, and found that some widely trusted scores are measuring very different things than advertised.

4 min read
Photoreal news-editorial 16:9 image: a vast server room shot from floor level looking down a long corridor of glowing blue and white server racks, with warm amb
AI Business

AI tools sound most confident exactly when they are most wrong, new testing shows

A developer built a testing framework to measure whether an AI explainer tool actually got the right answer, not just whether it sounded convincing. What he found should worry any business relying on AI to guide real decisions.

4 min read
A glowing neural network diagram rendered in deep blue and amber tones spreads across a dark server room background, with rows of blinking server racks visible
AI Business

Cinco millones de personas califican diseños de IA para que las máquinas aprendan qué se ve bien

Una startup llamada Intelligence recaudó $7.9 millones para ejecutar una plataforma donde usuarios ordinarios votan sobre imágenes y sitios web generados por IA, y los datos que recopila ya valen $60 millones anuales para las empresas que construyen modelos de IA.

4 min read
A timeline of cybersecurity evolution over 20 years, featuring AI and cloud icons
Explained

Por qué los sistemas de visión por IA pierden lo que tienen frente a ellos

Apple ML Research tiene una nueva herramienta que identifica los patrones ocultos detrás de los errores de IA en la detección de objetos, y sus hallazgos son importantes para cualquiera que dependa de la IA para detectar cosas en el mundo real.

3 min read
© 2026 AI2Day