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Description

One result of going on vacation was that I wasn’t able to spin events off into focused posts this week, so I’m going to fall back on splitting the weekly instead, plus some reserving a few subtopics for later posts, including AI craziness (the Tim Hua post on this is excellent), some new OpenAI largely policy-related shenanigans, and the continuing craziness of some people who should very much know better confidently saying that we are not going to hit AGI any time soon, plus some odds and ends including dead internet theory.

That still leaves tons of other stuff.

Table of Contents

  1. Language Models Offer Mundane Utility. How much improvement have we seen?

  2. Language Models Don’t Offer Mundane Utility. Writing taste remains elusive.
  3. On Your Marks. Opus 4.1 on METR graph, werewolf, WeirdML, flash fiction.
  4. Choose Your Fighter. The right way [...]

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Outline:

(00:44) Language Models Offer Mundane Utility

(02:42) Language Models Don't Offer Mundane Utility

(08:24) On Your Marks

(13:26) Choose Your Fighter

(21:05) Fun With Media Generation

(22:10) Deepfaketown and Botpocalypse Soon

(25:32) Don't Be Evil

(26:41) They Took Our Jobs

(40:39) School Daze

(44:18) The Art of the Jailbreak

(44:27) Overcoming Bias

(54:01) Get Involved

(56:34) Introducing

(58:09) Unprompted Attention

(58:56) In Other AI News

(01:02:54) Show Me the Money

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First published:

September 4th, 2025


Source:

https://www.lesswrong.com/posts/qSt27zr3ZFJoe8ET8/ai-132-part-1-improved-ai-detection

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Narrated by TYPE III AUDIO.

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Images from the article:


Line graph showing trends for Juniors and Seniors from 2015-2025.
Social media feedback form with options to improve content feed.
Table comparing model accuracy between original and NOTA-modified clinical questions.
Graph showing task completion times for GPT models from 2020-2026. METR logo.
Bar graph:
Game rules diagram for Werewolf showing roles, night actions and day phases.
Graph showing annual salary trends by AI exposure for young professionals.</p><p>The image displays salary data from 2021-2025, comparing workers with different levels of AI exposure, normalized to 1 in October 2022.
Line graph
Bar graph comparing GLM-4.5's performance against four different coding models.
Line graph titled
News article screenshot. The headline reads:
Bar graph titled
Bar graph:

The graph shows ratings across multiple criteria (like Research Quality, Staff Expertise, etc.) categorized by political classifications (Left, Center-Left, Center-Right, Right), with scores from 1-5." style="max-width: 100%;" />


Bar graph showing average ratings of think tanks by AI classification/political orientation.</p><p>The chart shows ratings for 23 think tanks, evaluated by AI models across multiple criteria, with scores ranging from 1-5 and color-coded based on their political leanings (Left, Center-Left, Center-Right, Right).
Programming cartoon about agents reasoning while playing office chair jousting. The image shows a simple stick figure comic where two programmers are having a chair jousting match in the office. When someone tells them to get back to work, they claim they're doing
Two ranked lists showing top 50 AI products:<br />

The lists display logos and names of various AI tools and applications, with ChatGPT and Gemini leading both rankings at #1 and #2 respectively." style="max-width: 100%;" />


Graph titled

The graph plots various AI language models (like GPT, Claude, LLaMA) on a timeline from 2024-2026, tracking their accuracy scores from 0 to 0.6. Two trend lines (green "Closed Frontier" and blue "Open Frontier") show the progression of model capabilities over time." style="max-width: 100%;" />


Ranking chart:

This table lists AI products from ChatGPT (#1) to ourdream.ai (#50), displaying their logos and names." style="max-width: 100%;" />


Nate Silver tweets:
Animated characters with helmets face off in
Simpsons meme: Character declaring

The scene shows an animated character in a business suit against a city backdrop, expressing a common meme format about denying one's own mistakes and blaming something else instead." style="max-width: 100%;" />

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