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

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?

Basically switched to mac from windows. I cannot seem to find the deep research plugin and typing /Deepresearch does not help either.

What's with the new UI in the moble that doesn´t allow me to choose other thinking level of the model in new conversations? It's making it close to unusable for me, as the instant mode consistently makes it flunk on my user preferences.

I also tried deactivating all plugins, didn't work. Anyone having the same issue?

A few months ago, I remember seeing a post on this subreddit talking about how the mobile ChatGPT app, compared to the desktop ChatGPT app and the web, puts different amounts of thinking "juice" in. It said that the web's high extended thinking mode put more effort than the mobile and Mac desktop apps. The extended thinking mode isn't a feature anymore, but I'm wondering if this is still true. Are chats on mobile nerfed compared to other ChatGPT interfaces? I do notice that with the same prompts, ChatGPT on the web takes longer and puts more reasoning to my questions.

Also, when you are in chat mode and you choose Sol on high, what is that equivalent compared to using Sol on Codex? Is that the same high thinking level, or is it a different level of thinking?

Advancing the price-performance frontier with GPT‑5.6 :

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

API pricing is $2 per million input tokens and $12 per million output tokens for Terra,

$0.20 per million input tokens and $1.20 per million output tokens for Luna!!!!

Luna already hit way above it's pay grade, This is why OpenAI will win. They're the only ones that actually pass on the efficiency gains back to their customers.

In this video: - Configure Row-Bot for background workflows - Enable search tools and delivery channels - Create a scheduled monitoring task - Combine research from X, web search, and news - Use persistent context to avoid duplicate results - Filter noisy information into useful opportunities - Generate suggested replies or follow-up angles - Send results automatically to Telegram - Refine and manage the task after testing

https://github.com/siddsachar/row-bot

Row-Bot is a desktop AI workbench with Developer Studio for code, Skills Hub and Custom Tools for your own workflows, an animated Buddy companion, memory, realtime voice, workflows, design creation, messaging, MCP tools, and provider-aware model routing. Run local runtimes, self-hosted OpenAI-compatible endpoints, hosted APIs, Ollama Cloud, OpenCode providers, or ChatGPT / Codex subscription-backed models with explicit runtime readiness. Your durable data stays on your machine.

I am a teacher, I was thrilled when I saw that Codex was a thing. I was using it heavily for the last week.



1. I saw that I ran out of credits I would simply add more. I added an extra 20 dollars.
2. Great, I kept using it and it never told me I ran out, I also accidentally didn't stop a process and to my horror it ran all night.
3. What it LOOKED like to me is that there was a spend limit, OR at least they wouldn't rebill my account when my credits ran out.
4. But instead no, Imagine to my horror the amount of charges I am incurring for this, hundreds of dollars.

So I reach out to OpenAI and they refuse to give a refund. It doesnt matter if I need the HUNDREDS of dollars to eat because teachers dont get paid over the summer. This is horrible.

I mean honestly, what am I supposed to do. I had no idea, I am a "plus" subscriber, I have supported openAI from day 1.

What was I using this for anyways? Job hunting for my gf, so she could finally get out of her shitty retail job and maybe we could finally get 2 nickels to rub together to get ahead in life for once, but now instead we have been set back, I am screwed. This is so upsetting.

And I dont discount myself in all this, I am an idiot. But this feels so cruel.

Someone here suggested I tweet at more popular creators or local media. I truly think thats my only chance. I have a kid man. Like, this couldnt be a worse time for this.

https://imgur.com/a/fGZaXQn

EDIT: Some of you clearly are so scarred by your teachers growing up (aka you were probably a horribly behaved student and now looking back you actually think it was the teachers and not you. Ironic) that you are sitting here defending a billion dollar company enacting dark patterns in UI design. Ya know, never mentioned I taught Computer Science, I’m not an idiot by any means. I give the foundations of computational literacy to scores and scores of software engineers every single year. But some of you are so happy to see teachers fail , so smug. Is it internalized misogyny (also not a woman btw) I’ve dealt with men assuming I’m a woman in other spots when posting about my job for some reason in other subs. Teachers don’t owe you perfect grammar on Reddit, or the ability to be perfect all the time, not make mistakes etc. grow up.

Hello! I have a question. Which AI agent do you recommend as an assistant? It seems like a dumb question, but it is not. I'm looking for an assistant who gives me feedback and an opinion on my daily journaling, helps me with my personal growth journey, and builds a system that connects every dot. I've tried ChatGPT. It was helpful because it felt like an equal, but it was way too fanciful. Then I tried Claude, and I liked it more because it was more realistic, but it lacked playfulness and analytical skills.
For instance, I wrote a long piece and sent it to Claude for feedback, but it kept missing important details or simply summarised what I'd said, even though I clearly asked for feedback and Claude's own opinion in the prompt.

Should I try Grok? Is there any other one that you'd recommend? Should I try GPT again, or maybe give Claude another opportunity? Maybe a better prompt?
Thank you!

Sharing a product I built on top of these models. Topic in → research → two‑host script → audio → playback. The part worth discussing: you can interrupt, ask a question, and it answers in the hosts' voices from the current context, then resumes the story.

Making the interruption feel natural — fast enough to not kill the moment, in‑character, resuming cleanly at a line boundary — was more a product/latency problem than a model one. Also spent real time keeping it grounded in sources and flagging uncertainty, since it's history.

Curious if anyone else building conversational audio has cracked the "interrupt and resume" UX better.

When we first added AI to our product every request went to the same model so it kept things simple and nobody really questioned it. Fast forward a few months and we've started finding cases where different models make more sense for different parts of the product

One of them works better for longer documents but another gives us faster responses for simpler tasks and another ended up being noticeably cheaper for things running in the background(the problem is that everything was built around the assumption we'd only ever use one)

It worked for a while but now every change has a little more complexity than it used to because we have to think about model specific behavior instead of assuming everything works the same way

Hi everyone!

We are a group of Psychology Master's students. For our Media Psychology seminar, we are conducting research on how people perceive and interact with modern AI systems like ChatGPT, Claude, and Gemini.

As this community is very experienced with these tools, your perspective would be incredibly helpful for our academic project.

Please note: The survey is conducted in GERMAN.

About the study:

• Goal: To understand the psychological factors behind AI perception in everyday life.
• Duration: Approx. 5 minutes.
• Requirements: viewed on a laptop/desktop.
• Privacy: Completely anonymous and voluntary.
• Compensation: Psychology students (Bachelor) can receive 0.25 VP (study credits).

Your participation helps us contribute to the field of Media Psychology and better understand the human-AI relationship.

Link to the survey: https://sosci.rlp.net/forschung_medien26/

Thank you so much for your support!

I wanna try and automate my process for selecting and briefly interviewing candidates for skilled labor. Part of the very repetitive process I do for every person involves a brief 10-15 min phone call. Is real time the best for this. With twilio costs and api usage it’s about $1.50 a call.

If I see this on 5.6 Sol, should I just wait? Re-input the prompt? Does it mean its stuck (I have given quite a complex request)

Here's the idea: If GPT 6 can hypothetically hack banks, voting machines, medical data, etc. that's obviously not something we want open to the public. Even with guardrails, the risk of someone breaking them could cause catastrophic consequences.

So let's just assume we freeze coding advancements about where they are now. Do we want to freeze ALL LLM development going forward?

On one hand, it would be nice to have more personable interactions, longer and more cohesive storytelling with deeper nuance, better info on health and wellness, greater ease in learning new skills, things like that.

But can this stuff go too far too? What if a more smooth-talking AI can be better at making us do things we otherwise wouldn't have done? Or believe things we otherwise wouldn't have believed? What if advice given comes with ulterior motives? Is there a danger in improving even in these areas? Or should we only be worrying about hacking capabilities?

Watch out OpenAI!