An AI-Generated Kimi Benchmark Chart Used Invented Scores

Matthew Berman asks for a graph of Kimi K3.1 Pro benchmarks, then discovers that the displayed figures are illustrative placeholders.

MBMatthew Bermanホスト · Forward Future
チャンネル
Matthew Berman
公開日
2026年10月24日
動画
0:21
読了時間
1 分
スライド
2
原文
英語
YouTube で開く
スクロールすると動画は右下に小さくなって再生を続けます。字幕は閲覧言語に合わせて切り替わります。
閲覧言語2 言語で読めます
この記事はまだ日本語に翻訳されていないため、英語の原文を表示しています。
要約

30 秒でわかる

In this short video, Matthew Berman shows an AI-generated benchmark graphic and questions its broad categories and numbers. The generating assistant says the numbers are invented placeholders rather than verified results. The incident concerns that generated graphic; it does not establish that Moonshot AI fabricated its official benchmark results or identify the system used to generate the chart.

  1. 1A benchmark graphicBerman asks for an image displaying Kimi K3.1 Pro benchmarks; the generated chart uses broad categories.
  2. 2Vague categoriesThe chart groups scores under coding, reasoning, mathematics and agentic tasks rather than identifying specific tests.
  3. 3Scores described as placeholdersAsked whether the numbers are accurate, the assistant says they are invented placeholders, not verified results.

ポイント

  1. A generated graph presented broad benchmark categories and numerical scores.
  2. The chart labeled its scores as illustrative, and the assistant later described them as invented placeholders.
  3. The example does not establish that the model developer fabricated official benchmark results.
全文

チャプターごとに整えた全文を読む

文字起こしのみ
01

A generated chart and a follow-up

Berman shows the chart, questions its broad categories and asks whether its scores are accurate. The assistant says the figures are illustrative placeholders.

The generated benchmark graphic
スライド 1 / 2The generated benchmark graphicThe chart displays broad categories and explicitly labels its normalized scores as illustrative, not verified benchmark results.

I asked an AI assistant to create an image of a graph showing Kimi K3.1 Pro benchmarks. The resulting graphic uses broad categories such as coding, reasoning, mathematics and agentic tasks, with numerical scores. Its small subtitle describes the figures as illustrative normalized scores, rather than naming actual tests or presenting verified measurements.

The assistant’s clarification
スライド 2 / 2The assistant’s clarificationThe displayed response says the numbers are invented placeholders and should not be used to compare models.

The numbers did not look accurate, so I asked whether they were real. The assistant replied that they were invented placeholders, not verified benchmark results. This is an example of a generated chart containing illustrative data; it does not establish that the model maker fabricated its official benchmark figures.

同じチャンネルの記事

スライド 12 枚34:21EN
Matthew Berman· 2026年10月27日Matthew Berman Examines Anthropic’s IPO Filing, AI Growth and GovernanceMatthew Berman, Sam Altman · Forward FutureThe presenter reviews the S-1’s financial metrics, compute strategy and voting structure while questioning the tension between rapid AI development and safety.AnthropicAI Safetyエンタープライズ AI+2
0:26EN
Matthew Berman· 2026年10月25日Sam Altman on Human Values and Problem-Solving in an AI WorldSam Altman · OpenAIIn a short interview excerpt, Altman considers the enjoyment of solving hard problems and the human role in interpreting results.Human-AI CollaborationFuture of WorkAI Strategy
スライド 2 枚0:36EN
Matthew Berman· 2026年10月25日Kimi K3.1 and a Rubik’s Cube Solver DemonstrationMatthew Berman · Forward FutureMatthew Berman shows a scrambled virtual cube being solved and gives the Kimi K3.1 test a favorable assessment.評価(Evals)コーディングエージェントOpen-weight models
スライド 6 枚25:50EN
Matthew Berman· 2026年10月24日Kimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.Open-weight modelsBenchmarksAI cost & performance+1
スライド 2 枚32:20EN
Matthew Berman· 2026年10月23日Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.Local inferenceOpen-weight modelsAI cost & performance+1
0:54EN
Matthew Berman· 2026年10月23日Sam Altman: Seek Major Life Advice From People, Not AISam Altman · OpenAIThe OpenAI CEO distinguishes practical AI assistance from consequential life advice and argues for assistants that can push back.Human-AI CollaborationDecision MakingAI Alignment