Videos

The best LLMs only follow complex enterprise policy instructions 36.2% of the time under strict grading, according...

Wolf Bench is an open-source agent evaluation framework that argues a single benchmark score masks the real story:...

Voice agents fail because the industry optimizes speed instead of behavior, argues Hall: latency is a fixed budget...

In a head-to-head race against human researchers on a GPT-2 speedrun benchmark, both Claude Code and Codex beat the...

Standard LLM benchmark harnesses often fail to deliver the requested load and inflate latency, making server...

Meta's Muse Spark 1.3 claims benchmark scores on par with Opus 5 and 56 Soul, but practical tests reveal...

The visible difference between Pi Agent and OpenCode running the same Qwen 3.8 model on a simple one-shot task is...

The gap between benchmark throughput (3M req/s on a single box) and real-world API performance is due to five...

Ornith 1.5 35B is a capable local coding model that fits on a 12-24 GB GPU, but the viral claim of 155 tokens/sec on...

GLM-5.3 is the same neural network as its predecessor, but post-training on synthetic environments turned it into...

A new paradigm called recursive language models (RLMs) is flipping the script on context rot: instead of stuffing a...

Arjun Singh of Superconductor shares lessons for enabling a whole team to work with agentic engineering, emphasizing...

Data markets are undergoing a fundamental shift from type two (contrived) to type one (real workflow capture) data,...