105 articles
A viral chart reveals AI models are simultaneously achieving dramatic performance improvements and cost reductions, with capabilities reaching PhD-level benchmarks while operational costs plummet from early 2023 through late 2025.
Fresh benchmark data reveals that top AI models can now tackle software engineering tasks on their own for multiple hours, with Claude Opus 4.5 successfully completing work equivalent to nearly 5 hours of human effort.
MiniMax M2.1 Preview just dropped on Code Arena's leaderboard as the top open model for WebDev tasks, landing at #6 overall with a score of 1445 alongside GLM-4.7.
METR's latest research reveals AI model time horizons are accelerating beyond exponential growth patterns, signaling rapid advances in how long systems can maintain coherent reasoning across complex tasks.
LangChain just rolled out the LLM Inference Visualizer—a hands-on tool that lets you see exactly how context, prompts, and workflows shape what AI models spit out, all happening right before your eyes.
GLM-4.7 lands in the top 20% of AI models evaluated by Artificial Analysis, proving open-source alternatives can compete with tech giants' proprietary systems.
Nvidia's new 4D-RGPT model transforms how AI understands video content, delivering a 5.3% accuracy improvement in depth and motion recognition across major benchmarks.
J.P. Morgan's latest research reveals dramatic cost reductions in AI models, with prices falling as much as 99.7% while performance continues to improve, signaling a turning point for widespread AI adoption across industries.
NVIDIA unveils Nemotron 3 Nano, a 30-billion parameter AI model that activates only 3 billion parameters per pass, achieving 3.3x higher throughput than competitors while handling 1-million token contexts for advanced agentic reasoning tasks.
Liquid AI rolled out its reinforcement-learning enhanced LFM2-2.6B-Exp model, showing notable improvements in instruction following, knowledge tasks, and math evaluations compared to other 3B-parameter AI models.
ByteDance launched Seedance 1.5 Pro, an AI model that generates video and audio together while solving style and character consistency problems. The tool lets creators lock first and last frames for better control over motion and scene flow.
New METR benchmark data exposes dramatic differences in how fast leading AI models complete complex tasks, with some systems taking 2.6 times longer than others despite similar capabilities.
A new benchmark result puts GPT-5.2 in the spotlight, while version tracking reveals how far apart major AI platforms have drifted in their development cycles.
A fresh perspective on AI capabilities explains why modern models show dramatic strengths in some areas while struggling with basic tasks elsewhere. The framework treats AI as fundamentally different from human cognition.
Nuro's autonomous vehicle demonstrated real-world capabilities by safely managing student drop-offs and coordinating with crossing guards during morning rush hour in Houston.
Meta has launched SAM Audio, a unified AI model that lets users isolate and edit specific sounds within complex audio mixtures using text, visual, and time-based prompts.
The Sansa benchmark reveals major differences in content filtering across leading AI models, with GPT-5.2 showing the highest restriction levels among systems tested.
A compact 7-billion parameter AI model built specifically for dentistry is proving that specialized training beats sheer size when it comes to reading dental X-rays and supporting clinical diagnostics.
Researchers have developed LatentMAS, a new framework that lets AI agents work together by sharing internal representations instead of text messages, slashing token consumption by 83% while boosting accuracy by nearly 15%.
Disney has launched an autonomous robotic Spider-Man at Avengers Campus that performs real-time aerial stunts, marking a significant leap in live entertainment robotics.
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