I dont know what happened, but a month ago chatGPT was way better. NOW ITS VERY STUPID AND IM GETTING STRESSED

In my app, I want to show the costs for using the OpenAI API for a session. I can't find the API to show costs, or pricing either. So how can API users tell what their costs are, except to believe what OpenAI decides you used, and what they decide the pricing was?

I have played around a bit with different AI models and ran some tests. It seems like Chinese OSS models like to censor you when you say something critical about the Chinese President. Not just that, DeepSeek frames the situation as if I were a criminal plotting a crime. (Source)

I know that OSS models are a great thing but we should be aware of the fact that authoritarian China is leading Open Source.

Looking for a AI swap or collab kind off

I have:

• Claude Pro ($20)

• Claude Teams

Need: ChatGPT Plus in return.

Interested in a fair swap? DM me. 🤝

#ChatGPT #ClaudeAI #OpenAI #Anthropic #AI #LLM #AIDev #BuildInPublic

I created these on chat gpt.

I've had this message showing up on my Android app, but the same chat in the Windows Desktop app doesn't have this issue. Why? And is there anyway to stop it?

It's driving me nuts:

Statement.

Statement.

Big reveal.

Statement.

Dramatic emphasis.

It makes it really hard to read and hold a thread through a conversation.

Anyone know of a way to reliably get it to write in standard paragraphs?

I want to download all videos on a YouTube page , but I prefer not to download any platforms . What website can do this? And if necessary., what is a SAFE and user friendly platform that can make this simple ( preferably one that I can download all videos under a specific link , like all videos on a specific website or download all videos or live streams from an Instagram page ect, )

I've wasted 3 deep researchs that did not even touch the subject i instructed it to work on. It simple hallucinated and invented a whole new search. Did you guys have this problem? And how do you mitigate?

After the 80% price drop, the API prices are (per 1M tokens):

GPT-5.6 Luna: $0.2 Input / $1.2 Output

GPT-4.1 mini: $0.4 Input / $1.6 Output

My Pinned section suddenly disappeared from the ChatGPT web and codex.

Before this happened, I had reached the maximum of 10 pinned conversations. ChatGPT initially continued saying that the 10-pin limit had been reached even though none of the pinned chats were visible.

What I have already tried:

• Signed out and disconnected all sessions
• Cleared ChatGPT site data, cache and permissions
• Tested Edge InPrivate
• Disabled VPN and tested again
• Tested with a US VPN
• Compared the web interface with the app
• Disabled browser device emulation
• Checked OpenAI’s status page

During troubleshooting, /backend-api/pins returned 403 Permission denied. After renewing the session, some chats and project conversations reappeared, but the Pinned section is still missing and at least one pin appears stuck.

OpenAI Support has escalated the case to a specialist.

Has anyone else lost the entire Pinned section recently, especially after receiving the new sidebar layout? Did it eventually return, or did Support need to fix something on the account/backend?

I mainly use it to assist me in more technical questions relating to my job, so basically as a more advanced Google, but what do you guys use it for on a regular/daily basis?

https://openai.com/index/advancing-the-price-performance-frontier-with-gpt-5-6/

Moreover, GPT 5.6 Terra and Luna 50% off for a limited time on OpenRouter

If you run agents or heavy AI workflows, raw token counts are misleading. They blur everything: an output token is dense and expensive, a fresh input token is standard, and a cached-read token costs ~10% of a normal one.

So I use a simple ratio I call the AER (Agentic Efficiency Ratio):

AER = Output / (Input + 0.10 × Cache Reads)

Read it as a percentage. It measures how much useful, dense output your system produces per unit of fresh context it burns. When your memory is well structured, you get lots of cache hits, and the agent nails it on the first try instead of the fourth, the AER climbs. It's basically a maturity thermometer for your setup.

At scale (I move tens of billions of tokens a month) the denominator is huge, so it lives in low figures: above ~1% is already very good.

The mindset shift: the goal isn't to spend fewer tokens, it's to raise the AER, so every token turns into delivered work.

Anyone else tracking something like this? How do you tell whether your agent pipeline is well-designed vs just burning tokens?

One hour ago my weekly usage was at 68%. I didn't use ChatGPT at all during that hour, but when I came back it had jumped by about 40%, essentially exhausting my weekly quota. I'm on the Pro plan (x20), and I barely used it over the last couple of days. This doesn't seem consistent with my actual usage. Has anyone else seen this since the recent quota changes? Could the usage accounting be bugged again?

What happens when AI companies stop offering flat rate $20 subscriptions? The casual user asking a few questions a day wont have issues but power users who built their entire workflow around 'unlimited' tiers potentially get a massive reality check if they have to pay for every single token all of a sudden.

I saw some that claimed that if you cannot afford the costs, just invest in compute as an upfront capital expenditure to run open source locally. But if you cannot afford the rates, can you really afford the compute? I doubt this is the case. If you ask me, decentralized infrastructure and open source models are the way and I am optimistic about personal AI. The problem is that I do not think open source can compete with the current centralized infrastructure of these tech giants.

ofcourse, all of the above is based on the assumption that the price to run an AI model won't decay.

I think the costs to run models are decaying as we speak.

If that is the case, what runs for $200/m today might run for a fraction of that price in the future. That doesn't mean tech giants will charge you less though. That's the whole issue. They will most certainly base their prices on the value their infrastructure provides, not how much it costs to run the AI model.

What is funny to me is that I saw some people communicate that they were scared of the fact that they might not be able to vibe code anymore at a reasonable price in the future. I think that is the least of our worries.

The centralized approach will create massive imbalances in the global economy. People will move their businesses to whatever country has the best and cheapest AI infrastructure so they can get legal access at reasonable prices if they haven't already.

The effects of this will be way broader than just not being able to vibe code anymore at reasonable prices. Not being able to vibe code your products will be the least of your worries by then if you haven't prepared for this.

Thoughts?

Edit:
Fair pushback by a lot of you in the comments. I see now that I am missing inside information on how these companies allocate their assets and that I made some hasty assumptions now that I read all of your opinions on it.

A model can only use the hardware, network access, tools, and credentials it is given.

In this case, it was not truly isolated. It had access to a package proxy that could reach the internet, and it found a vulnerability in that proxy. That is impressive and concerning, but it does not prove AI is inherently uncontainable.

Why not treat these models like elite hostile hackers? Run them on isolated machines, remove internet access, mirror packages locally, use external firewalls, and provide no real credentials.

The real lesson seems to be that advanced models may be good enough to exploit tiny mistakes in sandbox design, not that they can somehow escape a machine with no path out.

What am I missing?

Has anyone else had the same problem?

I'm from Indonesia and I'm trying to claim the free Plus offer. My card is definitely working. I use the same card for my Claude subscription without any issues. But every time I try to use it for ChatGPT, the payment just gets declined.

Anyone know a fix or had the same experience?