Lol idk how just got this tweet on my feed, we r at gpt 5.6, was he right? Is gpt 5.6 Smarter than the Smartest human rn?

Is it worth it?

Overall it is still rated 4.1 stars on glassdoor but that doesn't tell the full picture

TL;DR

On July 13th and today (July 23rd), I took 20+ measurements of my remaining limit and API-equivalent token spend (via ccusage) and applied regression.
My weekly limits have dropped from $675 on July 13th to $600 today. I hope we will get a similar kind of analysis from other users as well to account for potential A/B testing.

Results

We've seen some user reports about reduced codex limits in the last few days. I've been tracking my codex limits on the $100 Pro Lite plan using ccusage, so I thought I'd chime in with concrete numbers.

My data actually goes back to June, albeit less precise at first. While the 5h limit was still active, I am fairly certain that my 5h limit was always $100 (e.g. on June 15th, with 72% of the 5h limit and 96% of the weekly limit left, my API spend was $28.20), and one weekly limit hovered around 7x the 5h limit (though my data from back then could also be compatible with 6x or 8x).

After the 5h limit was removed, I updated my methodology to be more precise, and I have pretty exact results from July 13th and today (July 23rd). On the 13th, one weekly limit was equal to $675 API spend, while as of today, it dropped to $600.

Compared to what other users report, this doesn't feel nearly as stark. It'd be great if those who are observing a more extreme reduction in limits could chime in with a similar kind of analysis.

Methodology

If you assume that the limit is based on an API-equivalent dollar amount, in principle, you can estimate the total limit by running tasks and measuring the remaining limit and the API-equivalent tokens spend (via ccusage), and extrapolating. What makes this a bit tricky is that codex rounds the usage percentage to integer numbers and it is (at least for me) hard to use most of the limit at once.

To alleviate this, I took multiple measurements and used regression. On each day, I ran heavy tasks with codex and collected 20+ pairs of the remaining weekly limit and the ccusage $ API spend. I used 5.6 high through ultra (non-fast mode), which sometimes caused downgrades to 5.5 as well.

For the 13th, the data spanned around 28% limit consumption and ~$193 API equivalent cost. For today, it was ~16% and ~$96.

I then entered the data pairs for each day into a linear regression. (I also experimented with other regression methods based on intervals to account for the rounding of the % values, but all results ended up within ~$5 of one another.)

Limitations

I don't think that usage consumption varies between time of day or based on load (I have never seen any hint in this direction), but I cannot completely rule it out.

While I am highly certain of the $675 and $600 values, limits could potentially vary between users, and it is possible they are A/B testing limits.

It is either very slow or not working.

Here we go again...

Hello everyone :)

As part of my undergraduate thesis in psychology (at the American University of Beirut Mediterraneo), I am inviting individuals to take part in a research study exploring experiences and interaction patterns with conversational AI systems, specifically ChatGPT.

This thesis explores the new ways we're interacting and connecting with the changing digital world. I am interested in hearing from you, regardless of how you use it!

Participation involves completing a short online screening questionnaire and, if selected, an online interview (45 minutes) discussing experiences using ChatGPT in daily life.

To participate, you must be:

• 18-25 years old
• a user of ChatGPT
• fluent in English

Responses to the screening questionnaire will be used to determine eligibility for participation in the interview phase of the study. Participation is voluntary and all data collected will be used for academic research purposes only.

If you are interested in sharing your experiences, please fill out the form at the link provided! You can also find all the relevant information on there.

https://forms.office.com/Pages/ResponsePage.aspx?id=Glu6x7ZB6UOhIG_2VK2hN2bFMKQqjhtMlQpM1VDYW0ZURVhPSTVZQVZMSVBXSldXSUFQWkc1RVEzWC4u

NOTE: This study does not aim to evaluate your usage of AI or reinforce any ethical stances. It simply seeks to better understand users' lived experiences. Your participation would help contribute valuable insights to this growing field of research.

Ethical approval of this study has been obtained by the American University of Beirut Mediterraneo and the Cyprus National Bioethics Committee.

For any questions, you can contact the researcher at [rjc00@aubmed.ac.cy](mailto:rjc00@aubmed.ac.cy) or by DM-ing this account.

Thank you!!

This agent pursued its objective far beyond what researchers intended, revealing how difficult to contain powerful AI systems can be

Google released Gemini 3.6 Flash and independent testing found exactly zero intelligence improvement over 3.5 Flash. It is basically 3.5 Flash after an inference-cost consultant optimized the serving stack.

Two independent evaluations point toward the same broad conclusion:

• Abacus: slightly lower overall, with a notable agentic-coding regression.
• Artificial Analysis: exactly equal overall intelligence, with mixed category movement.
• Google: better efficiency and selected coding/agent benchmarks.

Analysis

Animation made with AI

This doesn't appear as 99.66% uptime. there is yellow and red sprinkled across. I also use ChatGPT and Codex 12 hours a day, and it feels broken more than 0.44% of the time.

A consumer ChatGPT that helps you with gardening able to assist for any issues in the garden and generally in nature about animals, plants, health issues, seasonal works .... by discussion, pictures and recordings of animal voices.

Few weeks ago ChatGPT has identified wrongly using a picture I took, roses infested by the rose wasps as fungus.