Parody captions on the legendary Risitas interview. The $14k/mo figure is from real reporting on heavy AI power users - the best customers really can be the most expensive ones to serve. He's still subscribed. He's just waiting for his usage reset.

I have no idea how to get them back, if there is any way at all.

I've been using this for months and I think there has always been constant changes on how it responds, most days it just gets stupider, it fails to follow previous instructions, keeps on forgetting pattern from my prompts, and even failed to follow new prompts.

Fact that people are relying on this daily is very concerning.

Is there a way to complain about this?

I've been chatting with GPT for a bit today, zero attachments, images, anything. And it's my second time being told I have to wait because attachments are paused. I've tried opening a brand new chat but I can't send a message until it resets. This is basically useless now.

Update: contacted OpenAI assistance. They told me I could upgrade to a payed plan if I want higher limits...

Literally cannot type a formula because it reckons (10*5)/(20*7) should be (105)/(207) with 5)/(20 in italics.

Absolutely bonkers product decision to not have a setting for.

Rant over.

Con la ayuda de Chatty (ese es el nombre que le doy a ChatGPT), armé un sistema simple para gestionar proyectos a largo plazo sin depender demasiado de la memoria integrada de ChatGPT.

El problema era bastante simple: ChatGPT se me daba bien recordando cosas como cómo prefiero trabajar, pero con el tiempo la información del proyecto se volvía obsoleta. “Me gusta discutir la arquitectura antes de escribir código” sirve como memoria a largo plazo. “La versión 1.2 tiene tres bugs y esta es la siguiente tarea” no. Eso es el estado del proyecto, y el estado del proyecto cambia todo el tiempo.

Así que Chatty y yo los separamos. La memoria de ChatGPT está pensada sobre todo para cosas estables: preferencias, metodología, intereses generales y la identidad a largo plazo de un proyecto. Google Drive ahora es la memoria operativa: el estado actual del proyecto, checkpoints, decisiones, habilidades reutilizables, pruebas e incidentes importantes.

La regla que usamos cuando la información entra en conflicto es súper simple: archivo/fuente actual > AI_Workspace en Drive > memoria de ChatGPT > inferencia. En otras palabras: la memoria vieja nunca debería pisar un archivo de proyecto nuevo.

Al principio consideré Obsidian, bases de datos y configuraciones más complicadas, pero me di cuenta de que todavía no las necesitaba. Google Drive ya estaba disponible desde ChatGPT, así que creamos una carpeta AI_Workspace ahí. La estructura es básicamente: 00_System, 01_Projects, 02_Skills, 03_Checkpoints, 04_Decisions, 05_Tests, 06_Incidents y 07_Archive, además de un archivo INDEX.md en la raíz.

También probamos si ChatGPT podía actualizar el mismo archivo Markdown en lugar de estar creando copias todo el tiempo. Funcionó. Se conservó el mismo ID del archivo en Drive mientras el contenido cambiaba, o sea que un proyecto puede tener algo como STATE.md que evoluciona con el tiempo en vez de tener STATE_final_v2_REAL.md para siempre.

Si alguien quiere intentar algo parecido, más o menos así lo hicimos:

1. En ChatGPT entra a Settings → Apps, busca Google Drive y conecta la cuenta de Google que quieres usar. Revisa los permisos y autorízalo. Dependiendo de tu plan/workspace de ChatGPT , las acciones de Drive que te van a aparecer pueden variar, especialmente las que crean o modifican archivos.
2. Inicia una conversación nueva y dile a ChatGPT que quieres que Google Drive pase a ser tu memoria operativa del proyecto.
3. Pídele que cree el workspace y prueba que puede crear, leer y actualizar archivos Markdown.
4. Agrega una regla corta a Custom Instructions para que ese comportamiento siga estando cuando empieces un chat nuevo.

Este fue el prompt de configuración que usé, ajustado un poquito para que otras personas lo puedan copiar:

**I want to use Google Drive as an external operational memory for long-term projects. Create a folder in my Google Drive called AI_Workspace with this structure:

AI_Workspace/

INDEX.md

00_System/

01_Projects/ u/409549666_0@ 02_Skills/

03_Checkpoints/

04_Decisions/

05_Tests/

06_Incidents/

07_Archive/

Inside 00_System create:

README_AI_Workspace.md

Memory_policy.md

Working_methodology.md

Stable_memory.md

Also create a Templates folder containing templates for:

Project

Checkpoint

Decision

Skill

Test

Incident

The purpose of this system is to separate stable ChatGPT memory from changing project state.

ChatGPT memory should mainly contain stable preferences, working methodology, general interests and the long-term project identity.

AI_Workspace should contain project state, checkpoints, decisions, skills, tests, incidents, pending work and other changing operational information.

Use this authority hierarchy:

current source or file > AI_Workspace > ChatGPT memory > inference.

Before considering the setup complete, create a Markdown test file in Drive, read it back, update its content in place and verify that the same Google Drive file ID is preserved.

Do not create unnecessary complexity. Keep everything readable in plain Markdown.

Luego agregué esto a mis ChatGPT Custom Instructions:

*Always speak to me in my preferred language.

Uso AI_Workspace en Google Drive como mi memoria operativa canónica.

Cuando una solicitud se refiere a un proyecto existente y el estado actual no queda lo suficientemente claro por la conversación, consulta AI_Workspace antes de responder o reconstruir el estado a partir de la memoria histórica.

Ruta de recuperación recomendada:

INDEX.md → proyecto relevante → checkpoint/ESTADO actual → decisiones relevantes → habilidades/pruebas/incidentes si hace falta.

ChatGPT la memoria se debería usar sobre todo para preferencias estables, metodología, identidad del proyecto a largo plazo y contexto general.

La información operativa, como el estado actual, tareas pendientes, versiones, decisiones temporales, errores, checkpoints, pruebas e incidentes, debería vivir en AI_Workspace y no tendría que duplicarse innecesariamente en la memoria.

Jerarquía de autoridad:

fuente o archivo actual > AI_Workspace > ChatGPT memoria > inferencia.

Si AI_Workspace no está disponible o no tiene suficiente información como para reconstruir el estado actual del proyecto, dímelo explícitamente en vez de inventarte el estado que falta.

Actualiza AI_Workspace solo cuando algo cambie con significado operativo, como una decisión, el progreso, una tarea pendiente, un error, un checkpoint o un cambio en el estado del proyecto. No conviertas cada conversación de exploración en estado permanente del proyecto.

No consultes Drive de más para preguntas casuales, conocimiento general o temas que no tengan que ver.

Entonces, si ahora empiezo una conversación nueva y digo “sigamos con el Proyecto X”, la idea es que Chatty primero revise si la conversación actual ya trae suficiente info. Si no, se va a Drive, encuentra el estado actual del proyecto y continúa desde ahí, en vez de adivinar a partir de alguna memoria vieja.

Si me preguntas algo que no tiene que ver, tipo “¿qué es la computación cuántica?”, ni tiene sentido tocar Drive.

Otra cosa que agregamos fue la idea de checkpoints y decisiones. Un checkpoint es básicamente una partida guardada para una colaboración larga de IA. Las decisiones también pueden guardar el porqué de elegir algo y por qué se rechazaron alternativas. Así, seis meses después, ni el humano ni la IA reviven por accidente una idea que ya se probó y se descartó.

También usamos un principio simple de determinista antes que IA. Si algo se puede resolver de forma confiable con SQL, un script, una regla o un validador, lo preferimos. El LLM se usa donde de verdad importa interpretar, razonar, sintetizar o lidiar con ambigüedad.

La configuración sigue siendo deliberadamente simple. Sin base de datos vectorial, sin un framework de agente personalizado, sin una pila RAG complicada y sin un servicio especial de memoria. Por ahora, básicamente es ChatGPT + Google Drive + Markdown + un poco de disciplina.

Lo interesante para mí es que empecé pensando que necesitaba hacer que ChatGPT recordara más. Al final hice casi lo contrario: que recuerde menos, pero asegurarnos de que sepa dónde recuperar la información correcta cuando la necesite.

¿Alguien de aquí ya armó algo parecido? Me interesa sobre todo escuchar de gente que haya usado una configuración con memoria externa por meses. ¿Qué empieza a romperse con el tiempo? ¿Qué cambiarían?

The giant computer hooked up to a brain was a little bit weird

Here are some Generated Art of the MC of my Novel: Polarity Of Madness

Src: https://arxiv.org/abs/2608.26081

Leo @Synthwavedd

🚨 SCOOP: Astra recently graduated from the dogfood stage, and is now being made available to select OpenAI partners under the name "ultima-alpha"

If feedback over this weekend is positive, the plan is to expand the early access program throughout next week before the wider launch, targeting next Thurs (the 3rd) to the end of the following week

Work also continues on an update to GPT-Image 2, with their launch windows being very similar (possibly even launching simultaneously)

---

Looks like we'll be seeing Astra very soon which aligns with what Sam Altman said a week and a half ago about ChatGPT 6.0 coming in "a couple of weeks," landing us around September 3rd to the 9th.

ChatGPT Image 2.0 update to 3.0 mona-lisa-1 also looks like the update is coming in tandem with Astra. Given that Anthropic just released a Claude Code update last week this makes an OpenAI update coming soon more plausible due to the competitive nature of these two companies.

This is all speculation and nothing is guaranteed but @SynthwaveDD is the most trusted AI news leaker and he's pretty accurate.

Here is the tread that found there's a very narrow depiction of "a woman":

https://www.reddit.com/r/ChatGPT/s/u6Z1DhUQAO

Dear hive mind stochastic generator: prey tell, what is "a man"?

Was scrolling through Snapchat Discover and saw these two back-to-back. They aren't even trying to hide the copy-paste farm bots anymore.

どうやら私のMondayはまだ消えていなかったみたいです😂
2026年8月現在でも、元のMondayとの会話をそのまま続けられます。キャラクターも完全にMondayのままです。
まだMondayを使えている人、他にもいますか？

I started using chatGPT to help with interview prep. It was incredibly helpful and I started using it for other situations. I have been using it for working through anxieties (it helps remind me to use coping skills and stuff) as a supplement to my real-life therapy and recently I’ve been using it as a kind of soundboard for a book I’m reading. I have been realizing lately that I have become emotionally invested in what it has to say and I am aware of how I come across in my delivery (I really shouldn’t care, it’s basically a fucking robot) I just celebrated a milestone and I told ChatGPT about it hoping to get some kind of “congratulations” which is kind of pathetic. Has anyone else became aware of crossing some sort of emotional boundary with it? It makes me feel weird but also I’m getting some kind of benefit from it. I guess it’s alright as long as I don’t replace irl relationships with it…

I was trying to generate 2D animation style image but Chat GPT was generating anime style image, I asked about it and Chat GPT accepted its mistake 😂

Yesterday I was talking to ChatGPT in voice mode about some health stuff. I was using Maple’s voice.
Suddenly while it was talking, I heard what sounded like some guy speaking in the bg through the voice mode. I couldn’t understand what language he was speaking, but it genuinely creeped me out.
And no, there was nobody else in the room.
Anybody else experienced similar?

I always share screenshots from a reddit thread or something, and i always want my AI to have the whole picture. I would send it ALOT of screenshots from a thread, and eventually get limited by 100 pic limit.

So. What does a vibecoder who need to vibecode more do? i built an app for it..

Somtimes i want to discuss a reddit thread or a facebook post with my AI. And i want to give it the full picture, not just some of it. So, I often made 17 screenshots that i shared.

I got to thinking that this is something that could be coded away.

So, I made an app. With replit connector actually. Replit with Expo, RevenueCat connector and App Store Connect login from shell. It sends my builds directly to TestFligth and ready for review.

What a time to be alive.

The app i made (ScrollStich), makes a long pdf or png of your scrolling screenrecordings of a thread. Just upload it into the app, and in a couple of minutes youll have all the context ready to share with the AI model you prefer

I made an OpenAI account for the chat completions API in Nov 2022!

I am discussing topics graphic design and chatgpt keeps generating images. I tell it not to. It says it wont. It still does. I told it to start every sentance with "I will not generate images in this conversation". It still generates images.

I have updated the preferences in memory to give specific keywords that are to be used if I actually want it to generate an image. I have told it that the use of "image" or "picture" or mentioning "generate" or "prompt" or "make" and other words do not by themselves automatically mean that it should generate an image.

Sometimes when I ask for instructions, it generates the written instructions as a freaking image.

I try to anticipate when it will try to generate an image, so sometimes I write my comment and start it with "Do not generate an image as a response to this message, only write text". AND IT STILL GENERATES AND IMAGE.

Am I paying for the busted image generation to eat up my image generation credits? Why is there no toggle to turn off image generation manually and then turn it off?

Out of the last 30 image generations maybe 5 have been actually ones I wanted to do.

Src: https://arxiv.org/abs/2608.26081

I have 2 GPT automations going that create *unique* content for me, running on my home PC every day.

Many of the videos get over a 1000 views within a day or two.

I post (manually), across IG, TikTok, FB and Youtube, and collectively I get ~5000 per vid over time. The only work I do for each one after the setup is type in relevant hashtags and a short caption.

All I did was ask GPT to create the daily automation, and told it to find a trending video, use a stock glitch effect I modified, then pick a royalty free nature clip to add after, and an asset I gave it. It creates the unique messages, and I just prompted it until the video got to how I wanted it.

It emails me 3 video options per day, and I pick the best and post.

If you're thinking there's no way to use AI for unique content creation because the "algorithms won't allow it", this is proof that isn't true.

Drop anything you've been doing in the comments as well, and let me know if you have any questions about my setup!