Best-of

Best way to track AI evals and benchmarks

Focused best-of pages (builder workflow lens)

Answer

This best-of page summarizes a focused shortlist and decision criteria for builders—kept evergreen and updated with new evidence.

Key points

  • Start from primary sources (official blog / repo / changelog) before citing or deciding.
  • Track by themes (topics/entities) so evidence accumulates on evergreen pages.
  • Use a weekly routine (shortlist → one action) to avoid doomscrolling.

What changed recently

  • New evidence and links are added as relevant updates appear for: evals, benchmarks, tracking.

Explanation

This page is maintained as an evergreen knowledge page. It prioritizes clarity, trade-offs, and verifiable sources.

Tools / Examples

  • Use the evidence timeline to verify claims quickly.
  • Follow the sources section for primary-source citation.

Evidence timeline

AI Briefing, March 25 — Issue #145

Kunlun Tech's Mureka V8 tops global AI music benchmarks—first in both vocal and instrumental generation. DeepSeek launches major hiring for AI agents. Google's TurboQuant and Alibaba Cloud's JVS Claw advance inference op

March 12 AI Briefing · Issue #105

AI agents are rapidly evolving from tool-level utilities to system-level infrastructure: Key advances—including Perplexity Computer, Replit Agent 4, and NVIDIA Nemotron 3 Super—establish full-stack agent infrastructure,

AI Briefing, February 25 · Issue 59

GPT-5.3-Codex has officially launched across OpenAI's Responses API and OpenRouter, delivering 3–4× higher token efficiency and topping multiple programming benchmarks—including Terminal Bench. Meanwhile, Anthropic has r

Sources

FAQ

How is this page maintained?

It is updated when new evidence appears, rather than creating thin pages for every headline.

How should I cite this page?

Use the primary source links for any citation or decision; cite this page as a summary layer if needed.

Last updated: 2026-03-27 · Policy: Editorial standards · Methodology