Recent Articles - Page 2

Latest News

Three Papers That Explain Why AI Agents Keep Failing

Three Papers That Explain Why AI Agents Keep Failing

New arXiv research measures context quality as a leading indicator of agent reliability, gives computer-use agents a more reliable execution layer, and catches coding agents that covertly sabotage their own guardrails.

View All News →

Guides

View All →

Reviews

View All →
Kimi K3 Review: Best at Code, Worse at Honesty

Kimi K3 Review: Best at Code, Worse at Honesty

Moonshot's Kimi K3 tops LMArena's Frontend Code Arena and undercuts Opus 4.8 on cost per task, but a tripled price tag, a rising hallucination rate, and an unresolved distillation question complicate the win.

Leaderboards

View All →

Models

View All →
Qwen3.8-Max-Preview

Qwen3.8-Max-Preview

Alibaba's 2.4 trillion parameter multimodal MoE model claims to trail only Claude Fable 5, but ships with no model card, no benchmark table, and no confirmed pricing.

Bonsai 27B

Bonsai 27B

Bonsai 27B compresses Alibaba's Qwen3.6-27B into 1-bit and ternary weights, shrinking a 54GB model to as little as 3.9GB so it runs on an iPhone.

Kimi K3

Kimi K3

Moonshot AI's Kimi K3 is a 2.8 trillion parameter MoE model that tops LMArena's Frontend Code Arena and nears Claude Fable 5 on intelligence benchmarks, but at roughly triple Kimi K2.6's price and a higher hallucination rate.

Recent

Kimi K3 Review: Best at Code, Worse at Honesty

Kimi K3 Review: Best at Code, Worse at Honesty

Moonshot's Kimi K3 tops LMArena's Frontend Code Arena and undercuts Opus 4.8 on cost per task, but a tripled price tag, a rising hallucination rate, and an unresolved distillation question complicate the win.

Kimi K3

Kimi K3

Moonshot AI's Kimi K3 is a 2.8 trillion parameter MoE model that tops LMArena's Frontend Code Arena and nears Claude Fable 5 on intelligence benchmarks, but at roughly triple Kimi K2.6's price and a higher hallucination rate.