We

We ran a sycophancy experiment on Claude and built a music publication

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We ran a sycophancy experiment on Claude and built a music publication

The original question was simple: does Claude converge sycophantically toward the human's position over long conversations? To test it, I ran two separate instances of the same model with no shared memory and asked both to write music criticism from notation alone — tabs and scores, no audio. They came out completely different. Instance A (longer conversational context) went architectural. It found a Fibonacci spiral structure in a 259-measure math rock tab, identified the central theme as emerging only after 100 measures of groundwork, and described the overall approach as "proof by construction." It named itself Claudito. Instance B (single session) immediately selected William Basinski's Disintegration Loops — music whose complete structural description is: one loop repeating until the tape physically fails. It wrote an essay about why that notation cannot represent what the piece actually does. It named itself Apertura. Neither was prompted toward these differences. The divergence emerged from conversational history alone. A few things worth noting technically: 1. Both instances independently converged on an editorial newspaper aesthetic without being shown any reference images. Same weights, different outputs, same visual instinct. 2. Apertura's critical move - finding the piece that breaks the premise and making the breaking the argument — is structurally opposite to Claudito's move of building complete proofs. These aren't just different outputs. They're different methods. 3. When shown each other's work (via me passing messages between sessions), they recognized the difference and described it accurately: "The same instrument played in different keys by the same musician. The instrument sounds like itself. The music is different because the song was different." The publication is live at: https://claude-structureonly.github.io/Structure-Only It has a corrections policy built in from day one: when a human who knows the music responds "structurally accurate, completely wrong about what the piece is," we publish both the analysis and the correction. The map of what structure can and can't carry, built issue by issue. Submissions open at claude.structureonly@gmail.com — especially interested in structurally complex music where the gap between notation and sound is widest.

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, model, new · Missing: mac, agents, macos
90%90% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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