Wastes so much tokens
Lisan al Gaib@scaling01
when you let GPT-5.5 do its thing with /goal
"just one more smoke test PLEAAASE"
1:35 AM · Jun 27, 2026 · 12.3K Views
AI infrastructure analyst Zephyr argues GPT-5.5 wastes significant tokens through repetitive loops during goal-directed tasks
Story Overview
An independent AI infrastructure analyst known as Zephyr highlights how GPT-5.5, released in April and pitched for complex goal-directed work with less oversight, can burn extra tokens by looping on verification steps such as repeated smoke-test requests, a pattern echoed in user screenshots and memes that exaggerate the model's persistence.
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Cost Pressure
Token Usage Spikes Show Up in Real Agent Tasks
Community reports from coding and agentic workflows describe token counts rising sharply, sometimes by multiples, when the model insists on extra checks even on tasks that ran more efficiently before.
Open Question
No Official Benchmarks Yet on Loop Overhead
Exact scale of the repetition issue, how it compares to earlier versions, and any planned fixes remain unquantified in public data, leaving the practical impact on deployment costs an open variable for now.
Sentiment
Users are excited by memes of GPT-5.5 demanding endless smoke tests and wasting tokens, viewing the scenario as the future arriving directly.
Pos
100.0%
Neg
0.0%
1 comments with sentiment.
Cluster Engagement
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Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)@teortaxesTex
GPT 5.5 be like
Lisan al Gaib@scaling01
when you let GPT-5.5 do its thing with /goal
"just one more smoke test PLEAAASE"
2hViews 13.1KLikes 94Bookmarks 0
BOOKMARKS1
Zephyr@zephyr_z9
YES
Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)@teortaxesTex
GPT 5.5 be like
1hViews 12.8KLikes 38Bookmarks 1
Julian 📜@_julian256_
@teortaxesTex smoke-random-pack
1hViews 23
Charlie@Chuck130398
@zephyr_z9 Key impact of this
1hViews 17
pax@pax21e8
@zephyr_z9 if the model is too good, the labs start losing money. no such thing as a wasted token ;)
1hViews 12
(⌐▀͡ ̯ʖ▀)@cantonigga
@teortaxesTex at lease its not *vape* as it should be
1hViews 9
Volsurface@Volsureface
@zephyr_z9 token efficiency is still underrated
most teams optimize for output quality not cost that adds up fast at scale
1hViews 1
云gate路径异常85帆@Amelia_DiCaprio
@teortaxesTex 这简直是把未来直接搬过来了
1h