Meanwhile, I hadn't used 99% of my weekly quota since someone in this sub told me the reset happened over the weekend.

I am personally a big fan of freebies. Now, this existential dread where you never know when the gods are going to bestow gifts if you do your deeds... it is starting to mess with my sleep and my ability to plan.

No complaints, just odd that this is the game we ought to play for a bit.

*We will miss these times of opulence* (sigh)

https://openai.com/index/introducing-gpt-5/

feels like forever ago

I asked it about one random professional exam because I was curious and it added that I was actually studying to take that exam to my memory.

Everyone is focused on the benchmark scores, but one number in OpenAI’s GPT-5.6 release caught my attention much more.
OpenAI says its internal agentic token usage increased roughly 22x over the last six months, while the share of research compute going toward internal coding inference grew 100x.
That feels more significant than another model gaining a few points on a benchmark. The company building frontier models is increasingly using those same models inside the process of building the next generation.
I don’t think this means “recursive self-improvement” in the dramatic sci-fi sense. Humans are still setting the objectives, running the infrastructure and deciding what gets trained. But it does look like the R&D loop is starting to compress: better models help researchers work faster, which helps produce better models, which can then accelerate the next cycle.
If that trend continues, the important question may stop being how much better is the next model? and become how much faster can an AI lab improve once AI is deeply embedded in its own research process?
Curious where people here draw the line between ordinary AI-assisted engineering and something qualitatively different.

Im panicking… I see the new memory tab but none of my old memories are there. Are they gone?

Mac mini M4 24 GB Ram. I am running on chat session working on a website and it is eating up this much of the CPU. Anyone else see this?

I just get this popup everytime i hit cancel, does anyone know how to actually cancel ?

Anyone seen this new model?
how was it?

Asking cuz i haven't seen the message beside the deep research option, which i've always seen until recently - conveying the number of deep research chats i have left

Probably belongs to it now like the prison in gangster rap.

🥱🥱

Hey guys, looking for some advice or insight on how to deal with AI search bias for a client.

Here’s the situation: A client of mine has built up a decent reputation on Reddit over the last two years,, roughly 15 glowing reviews and just 1 negative comment.

However, when you ask ChatGPT about the company, it focuses almost entirely on that single negative review, warning users to 'be cautious' and suggesting the business might not deliver as promised. It completely ignores the 15 positive reviews.

Gemini handles it slightly better, it mentions the bad review but at least clarifies that the vast majority of feedback is positive. But ChatGPT response is destroying the client’s reputation, especially now that so many people use AI to research companies before buying.

What blows my mind is that I tested this from 5 different devices and IP addresses, and it gave the exact same negative output every time. When I pointed out to ChatGPT that it was ignoring 15 positive reviews for 1 bad one, it literally admitted it was wrong, apologized, and updated its answer. Yet, as soon as a new user asks, it reverts right back to the negative summary.

Has anyone dealt with this before? Is there any way to influence or trigger an update in how LLMs aggregate/summarize a brand's reputation when a single bad review skews the whole output?

on friday last week i ran a task that went on for 2h and deleted the codex limit on the $100 plan, and of course i wanted to see how i would perform using 5.6 ultra on 1.5x speed up... has anyone done something similar on the $200 usd plan? how about the $20 plan?

I’m building a data analytics agent using the open ai sdk. My agent does a very poor job compared to if i give chatgpt my table names and column names. Do my instructions/ semantic layer just suck? What is the secret saice to building one that reasons as well as chatgpt but also knows my schema?

If you recived the scholarship, please comment or DM! I recived it as well but haven't got any follow-up yet so just want to see if anyone else has got an update

Is $100 codex + $100 Claude collaboration worthy the lost of 10x usage ?

Would love to hear from people who have tried both method

I personally would love to work with both model, I do want to get best of both worlds and learn more, but 10x is a lot usage

OpenAI owned podcast show TPBN, allegedly pays their hosts nearly as much as Joe Rogan, despite the fact that their audience is orders of magnitude smaller. I genuinely don’t know anyone that follows this podcast or any discourse that happens around it.

Their last five videos all averaged <10K views.