ニコニコ（バグ探し）とタイピング（どこまで速く打てるか）に青春を捧げた。社会の荒波（SQLとSQL、あとSQL）にもまれた。英語を勉強している。AIコーディングの技術を翻訳に応用したい。
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Tiboベンチ
Hi,
Tomorrow we are re-opening the Pro $200 subscriptions to new subscribers, but together with it we are also changing how we calculate the usage for it. In effect, if you do the math, it will net out at half the dollar in API spend compared to the old Pro $200 plan.
Now that it's said, let me explain why this is happening and why you will still get more work done than if you were on the Pro $200 subscription one month ago.
(a) We didn't want to compromise in other ways and are committing to not reintroducing the 5h limit, so that you can fully use the weekly usage when you want.
(b) On the subscription, we guarantee that over time you always get more work done and with an increasing level of quality. This means that you will continue to get more value per dollar spent as a result of models getting more efficient and us passing down the improvements in the form of API price reductions.
(c) We don't want to put an incentive on ourselves to artificially inflate the API list prices to make it look like you are getting a lot (and workaround it through discounts, etc). Instead we want to continue to both rapidly reduce prices and increase capabilities of models on the API. This week we introduced GPT-6 Sol and GPT-6 Luna at 50% of their previous price. Over time, we see prices go low enough that it makes sense for most to buy usage as needed without there being a significant gap between what you get in a subscription and what you get in the API for a dollar spent.
(d) Tomorrow, we are adding more things to the subscription that won't draw on the usage, I won't reveal what that is yet.
I wanted to be transparent before all the big announcements tomorrow. Lots of new exciting things are coming to the subscriptions that will make it super compelling, but I wanted to make sure to share this change ahead of time so you can all understand it before we shower you with good news.
Codexingly,
Tibo
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これが出た時に有効化してた機能
コンフィグから丸ごと削って様子を見てみる
Issueはfeedbackをアップロードして作成済み
github.com/openai/codex/issu…
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Codex、モデルというよりCompactionがアホになってる気がする…劣化じゃなくてたくさん使うにつれて弱点的なパターンを引いただけかもしれないけど。
最近、`Context compacted`直後にCodexが語る内容が直近のユーザー指示の内容（もう終わった話）を蒸し返しがちだなぁと思っていたら、とうとうCompaction前にCodex自身がとっくに処理した作業をもう一回最初からやろうとし始めた。直前までのCodexが自分で積み上げてきた文脈に対してユーザー指示の内容が勝ちすぎてる感じ。でもその辺全然違和感なかったのがかつてのCodexだった気がする…
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I ran a Goal for 18.5 hours, and it already burned through half of my weekly limit on the Pro 20x plan. Letting gpt-5.6-sol medium use subagents may have been a major factor, but I never increased the concurrent agent limit beyond the default. It really makes me wonder what “Medium” is even supposed to mean. Is this genuinely the expected rate of consumption?
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