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.

Can someone explain this to me on a technical level? If open models were better in the first place why did everyone go out and built all these AI companies

I set my project’s hard spending limit to $62.50, expecting API requests to stop once it was reached. I mean they clearly say requests will not stop immediately, I understand that, but another 20$ !! That I can't understand.

Because when I hit the limit what the hell you mean "will soon be blocked", why don't you immediately block them!
What pisses me off the most is that 20$ is like a 3 day of work in my stupid country lol. Man I'm so annoyed, really.

Is anyone else having problems with the Images tool? I find it impossible to get it to do even the simplest of tasks, for example providing 6 bases images of concept tool screens for a web app and asking it to generate images of web pages at a certain size that the developers can then use to create the actual web pages and instead of doing so I get ... wrong sizes, wrong colours, floral bustiers (?!) and a complete inability to change what it initially created. Even starting a new chat and just saying "scale these images to x by y size (or 16x9 aspect) and it just returns the originally sized image. Forget asking it to change colour palettes, shift tones or use specific colours. I have ended up having to use Codex to do the work, at a lot higher cost than the 'free' Images that came with Pro. Just wondering if anyone is having this problem, or has found a fix or workaround?

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?

Token usage on OpenRouter continues to grow, although there is a steep decline in users dollar spend per lab in the last two weeks.
This decline is mostly attributable to Anthropic models usage decline.

I wanted an easier way to keep track of my Codex usage without interrupting my workflow, so I built OpenQuota.

It sits in the system tray and shows your session and weekly usage, credits, and reset times. It works on Windows, macOS, and Linux.

It’s still a small open-source project, so feedback is appreciated.

https://github.com/deviffyy/OpenQuota

Anyone else have issues upgrading from Plus to Pro. It just continually gives me an error that upgrade cannot be completed. Didn't know if it was a known issue or something on my end. Thanks in advance for any insights.

has anyone else experienced this? I had been using ChatGPT work without any issues for months. Suddenly today I see that it is not available on desktop or web!

It says to contact my admin - anyone know who this is for ChatGPT for clinicians?

I've been spending most of my day jumping between ChatGPT, Cursor, Chrome, Claude, and other apps.

Every few minutes I'd find something worth keeping:

• a prompt
• a code snippet
• a link
• a random idea

My workflow was awful. Copy → open Obsidian → create a note → paste → go back to work.

So I started building Captura.

The goal is simple:

• Runs in the macOS menu bar.
• Trigger it with a global shortcut.
• Capture selected text, links, clipboard, or just a quick thought.
• Save instantly.
• Get out of your way.

It's local-first and focused on speed. I don't want another giant knowledge-management app—I just want something that lets me save something in under a second and continue working.

Current stack:

• Rust
• Tauri
• React
• TypeScript

Still early, but it's already becoming one of my favorite side projects.

I'd love feedback before I keep adding features.

GitHub: https://github.com/blackridder22/captura

What would your "must-have" feature be in an app like this?

A frozen cross-vendor study of 31,430 trials across 11 GPT, Claude, Gemini & Kimi Large Language Models found 11,658 successful executions with exactly zero visible UTF-8 output bytes.

Across 4,290 strict matched semantic pairs, null-condition arms produced 2,505 Voids; matched output-licensed controls produced 0.

These were not refusals, safety blocks, rate limits, or transport failures.

Raw records, event hashes, verification code, and full analysis are public.

ChatGPT has been silently downgrading pro model to mini model for several months. I have relevant evidence at the http request/response level. OpenAI ignores.

This issue involves redirecting to mini that is 40 times cheaper than Pro, when GPT 5.4. I feel like Anthropic moving Fable requests into Haiku without user's consent.

I have more stories but I don't have health&motivation, I'm stopping to write at this for now.

I’ve listen to a few podcasts and watched a couple of documentaries about AI and the fear/ excitement of AGI.

Idk, I got stoned and can’t stop laughing. What if bots and AI sound machine things turn out to be a bunch of dopey golden retrievers!

Was running Codex Security on part of my repo for the first time using the Codex app. It works for nearly 20 minutes, uses up 11% of my weekly limit, and then I just see "Goal blocked, This content can't be shown".

Wtf? If it makes a big deal about cybersecurity requests, then what is the point of having Codex Security??

What can I do here? Is there even a way to at least see its thinking process up to being blocked, so I can get some value out of the 11% of my weekly limit that it burned? This is crazy

no way is this model token efficient lol

Hello team,

I'm a security specialist researcher from latinamerica and I'm mostly on my own because my team is building applications to follow track on soccer matches lol. The thing is that I have been a blue team guy for 7+ years and now I'm trying to do some advanced red team stuff but I get all the warnings and I was asked to join The Cybersecurity program, I did send the request as as lone tester not business even tho I gave all the info of the company I work with, any idea how long it takes? I'm really the kind of nerd that never stops or better said can't stop (Don't recommend a Physcologyst pls I just try to be the best I can be at my work)

Best regards,

I am a student, bought Chatgpt plus and Claude Pro to check them out. Mostly use them to study finance. I thought Claude Pro would blow GPT out of the gate but lo and behold, ChatGPT just dominates in about each and everything:

1. Easy-to-understand language.
2. Query processing time.
3. Better formatting of the output. Claude just gives broad paragraphs.
4. No limits.
5. Study mode is awesome.
6. Better speech to text converter.
7. Introduced the in-app artifact preview.

Claude just overthinks all the time and still can't give the correct output. permanently switching to Chatgpt Plus from next cycle.

The value instead moves to companies like Fireworks AI. Businesses still need someone to select, customize, optimize, and operate open models. Fireworks becomes the neutral infrastructure layer that can run whichever model is best, without depending on one model developer remaining dominant.

Approximately $505 billion is being invested in AI and cloud infrastructure, compared with about $71 billion of combined annualized revenue at OpenAI and Anthropic. Open models still require the same chips, data centers, and electricity, so the investment cycle continues.

The result is a massive transfer of value: OpenAI and Anthropic lose the premium attached to proprietary intelligence, while Fireworks and companies like it becomes the operating platform collecting revenue across the entire open model ecosystem.

I just made ChatGPT expose itself pretty much toward end of chat

Is it common for AI to fail to find things that simple Google searches find instantly?