@cagrimbakirci fable'dan iyi olması gerekmiyor, taskları fable planlayıp promptları da yoruma açık konu bırakmayacak şekilde üretince zaten iyi iş çıkarıyor ucuz modeller. aynı şekilde astrayı argon, deepseek, sol, luna kullanarak orkestratör olarak kullanıyorum, çok başarılı çalışıyorlar.
@thsottiaux Or even better, a 'Flexible Pro' plan that we can adjust monthly based on our needs. 200 isn't always enough, but I don't need 500 every single month either so I end up trying to stretch the 200. I’m sure a lot of people are in the same boat.
Day 25/
We are doubling all usage limits for all Pro 100/200/500 tiers and Business Premium, effective today.
We heard your kind feedback and won’t be reducing usage limits for Pro 200, so your Work and Codex usage will stay the same. We’re also going to continue offering extended limits for dots for now, and usage of your dot will still continue to be separate from your default usage.
And we'll of course also keep shipping better models and other efficiency improvements that increase your effective usage over time.
Working RCE against PHP 8.5.12 (the 2026-10-21 security release that fixed CVE-2026-109618/109619).
Pure logic bug — no memory corruption,
ASAN-clean, orthogonal to the CVE-2026-109618/19 class.
Receipt: uid=33(www-data) over HTTP, one-shot
#infosec#php2shell#php
DeepSeek just published the price of a token, and it should make you angry.
From their own DeepInfer docs: 1 cluster serves 155 trillion tokens a day, at $38 of revenue per GPU-hour, and thats at off-peak prices. Their API is $0.30 per million input tokens and $1.20 per million output at peak.
Yuchen Jin did the math: even if they rented B300s at $7 an hour, thats about 82% gross margin. Other estimates go higher.
So cheap AI is not charity and it is not "dumping". At these prices serving a frontier-class model is a very profitable business, if your inference stack is good enough.
Now remember every time a US lab told you that intelligence is expensive. That $200 a month is a fair price. That limits exist because compute is scarce.
Part of that is true. Part of it is a business model built on you not knowing what a token actually costs.
DeepSeek just showed everyone the numbers and gave away the engine. Every inference company can now compete on price with the same software. Thats how AI gets cheap for everyone.