ModelsBenchmark resultEvaluation & Benchmarks · Agents & Tool Use · Reasoning & Planning1 source · Oct 18, 2026

AI agents have bad taste in long-term decisions and a new benchmark proves it

A new benchmark called Taste-Bench tests how well AI agents make strategic choices during long-running tasks.

Proof1 independent outlet

Key points

  • Even the best model, GPT-5.6 Sol, picks the right path on just under 60 percent of simple binary questions.
  • The article AI agents have bad taste in long-term decisions and a new benchmark proves it appeared first on The Decoder.

Sources (1)

Extractive summary: sentences quoted from the sources.

Hype check

Independently evaluated1 independent look since

  1. Evaluation · Oct 19, 2026Kapitsa: open-source Apple Silicon optimized Metal engine built for Qwen and Nemotron. See benchmarks of Qwen 27B, Nemotron + 8 other models on an M1 Pro (16GB), M4 Pro (48GB) and M5 Max (128GB)
  2. Follow-up · Oct 19, 2026What are the challenges encountered when using coding agents for ML tasks? [D]
  3. Follow-up · Oct 19, 2026MiniMax M3.1 Flash shows China's AI price race has no floor in sight
  4. Follow-up · Oct 19, 2026Space Bunny was MiniMax M3.1 Flash. 428B-A23B, weights drop Thursday

Before this

  1. Oct 18, 2026Google Open-Sources Harness2, a Recursive Agent Harnessing Framework
  2. Oct 17, 2026deepseek-ai/DeepSeek-V4.1-Flash-1017
  3. Oct 16, 2026Grounding AI agents in biological reality: Building blocks for autonomous wet labs
  4. Oct 16, 2026Working at the frontier shapes expectations for the future
  5. Oct 16, 2026OfficeTown: Generative Organizations for Evolving Agent Intelligence
  6. Oct 15, 2026NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning

Related