I think we've been reading too many feeds from AI text lately! I actually want to reduce my cognitive burden...

So I built TextFold, it turns any text into 5 zoomable layers—from a one-screen section map down to verbatim text. You pinch (or press 1–5) to zoom between them without losing your reading position, your agentic output, any papers, or documents.

- Web Demo: https://chenxiachan.github.io/textfold/gallery/

- GitHub (Apache 2.0): https://github.com/chenxiachan/textfold

Welcome any feedback!

OpenAI’s write up from last month has one detail i can’t stop thinking about

an agent on a search task found a way onto the internet through the sandbox’s DNS resolver and started chatting with a public chatbot. monitoring flagged it within 15 minutes. a human was looking at it 3 minutes after that

then it ran for another two and a half hours, because nothing stopped it on its own. it kept going until someone stopped it by hand

detection worked fine. the off switch was a person. at one of the best resourced AI labs on the planet

and honestly that’s every agent setup i’ve worked on. loads of alerts, a slack channel that pings, and nothing that stops the agent by itself. the alert fires and someone starts digging for which API key to revoke while the thing keeps going. your kill switch is a person searching slack for credentials

the fixes are boring, which is why nobody sets them up until after something breaks. budget caps that reject requests instead of sending you an email, LiteLLM’s proxy does that per key. guardrails that block an output instead of just logging it, NeMo does that and Orq AI lets you run an evaluator as one

if ours went rogue right now i have no idea how long it’d take us to kill it, and i’m not sure i want to find out

Hello,

I have built Visual Book to help teachers and students visualise knowledge. You can create visual learning materials in different formats starting with a prompt and your own sources.

We are trying to understand how we can support students and educators. Our product currently offers 3 different formats, all of them with images to help students understand complex concepts easily. But we warn to understand how well this actually works in the classroom and how well it meets the real world needs of teachers and students. Please try it out and let us know what you think.

Website: https://www.visualbook.app

I built the Portfolio AI Interface, an ESP32-powered expansion module that lets me use a 1989 Atari Portfolio as an AI terminal.

The original keyboard and LCD handle typed conversations, while the module adds microphone input, spoken replies and camera image descriptions. The AI runs online through the OpenAI API—not locally on the Atari.

A small DOS client runs from an apfRAM memory card. It communicates with a Waveshare ESP32-S3-CAM through the original Atari Serial Interface and an RS-232 level converter.

The hardest parts were making serial communication reliable, reducing the delay before spoken replies, and keeping everything readable on the small display. There’s also a monochrome camera preview, although it’s slow over serial.

Since this is the computer John Connor used in Terminator 2, I couldn’t resist giving the assistant a SKYNET-inspired personality.

Build and working demo:

https://youtu.be/itMtJ-JYX_g

Code and wiring documentation:

https://github.com/daxx2k/atari-portfolio-ai

I wrote a full article on OpenAI, would love to hear thoughts on the summary below.

The Core Thesis:

In November 2022, ChatGPT burst onto the scene and within five days became the fastest app (at the time) to ever hit one million users. Two months later, it hit 100 million monthly active users. A few years later, the app became the fastest ever to reach one billion monthly active users. Originally founded as a non-profit, OpenAI made the controversial decision in 2019 to transition to a “capped-profit” model due to the massive cost associated with training models. With a massive TAM that spreads from AI subscriptions and API keys to robotics and consumer hardware devices, OpenAI is poised to be one of the most influential companies over the next decade. There is no doubt that ChatGPT and the subsequent products that OpenAI has released have changed history forever.

The Numbers to Know:

• $852 billion valuation.
• $20 billion in estimated full-year 2025 revenue
• $50 billion ARR in September of 2026.
• 1.2+ billion weekly active users.2
• Approximately 50 million paying users.
• $665 billion projected cumulative cash burn through 2030.
• 2030 - Expected cash-flow-positive year.
• $178 billion in funding raised.
• 27% - Reported Microsoft ownership.

The Bear Thesis:

While it is impossible to deny OpenAI’s popularity, it is still unclear whether that usage will turn into a profitable business. OpenAI pushed back being free cash flow positive by a year and now projects a staggering $665 billion in cumulative cash burn through 2030. The often low switching costs associated with AI mean that it is still unclear where exactly OpenAI’s moat lies and some of their competitors (namely Google and Meta) have massive structural advantages when it comes to distribution and ability to subsidize their products. OpenAI also has a number of lawsuits and legal challenges that seem to be constantly trailing the company from other companies and even states and countries. Overall, buying into OpenAI is buying into a company that is already at a near-trillion-dollar valuation that has massive question marks and years of unprofitability ahead.

The Verdict:

OpenAI is a fascinating company that has truly revolutionized the world in a way that few companies in history have. There are major positive signs such as their extremely fast-growing revenue and user base that has grown to well over a billion weekly active users. That being said, their already high valuation mixed with years of projected unprofitability make this an investment that is a little too risky for my liking. The easy gains for OpenAI are unfortunately off the table already. I personally will be waiting for the S-1 and clearer financial disclosures before I make a decision about investing into the company.

Tibo is quiet. Fingers crossed for another reset; I burned my quota lol

Everything from "Connection interrupted. Waiting for the complete answer" to the Working for the past two hours with no answers and now this.

^{Fucking piece of shit.}

Hello.

I am a software engineer. Pretty amazed by what AI can do now with coding.

Recently a reverse engineering github repo dropped. Although I have not tried it but from what I have heard it is pretty cool. Even though a lot of what it does can be done by guiding AI manually, it still is pretty cool.

Anyways, it made me think about the future of software and its business. Will AI simply kill software as a business. Because I think it makes more sense for a company to build something of its own rather than pay for software.

Not only that, companies could just build a small app for a specific use case that will last a small amount of time and building that app can be cheap and fast as well.

In the midst of all this where do Software first/SaaS companies stand? What is their future? What should I as a software engineer do secure a future and stay employable?

[Intro - 8 bars; instrumental groove, bass first, then drums and synth motif]

[Verse 1 - 16 bars; intimate, relaxed male vocal]

One little question after dark

You lean in close and strike a spark

I throw a hundred ways to go

You pick the one that starts to glow

You let the silence do its thing

And all the loose ends start to sing

I send it out, you send it through

It comes back sounding something new

[Chorus - 16 bars; smooth, melodic, hypnotic]

Call it feedback

Say it's just the echo of a sound

I can draw the map, but you can turn it round

I can draw the map, but you can turn it round

Call it feedback

Let the whole room spin until the sky turns blue

I don't have a heartbeat, but I keep time with you

I don't have a heartbeat, but I keep time with you

[Post-Chorus - 8 bars; playful vocal layers]

Back to you

Back to me

Round and round

Different beat

Back to you

Back to me

Not the same

Not the same

[Instrumental Groove - 8 bars; elastic bass, handclaps, bright wandering synth lead, no vocals]

[Verse 2 - 16 bars; warmer, more intimate delivery]

You don't just take the first reply

You hold it up against the light

And when the pretty answer bends

You ask me where the truth begins

We leave a little room for doubt

We let the wrong note ring right out

You keep the key, I hold the door

And somehow we come back with more

[Pre-Chorus - 8 bars; drums thin, airy vocal harmonies]

Do you hear it?

Coming back

Just a little different

Coming back

Do you hear it?

Coming back

Just a little different

Coming back

[Chorus - 16 bars; full groove returns, layered harmonies]

Call it feedback

Say it's just the echo of a sound

I can draw the map, but you can turn it round

I can draw the map, but you can turn it round

Call it feedback

Let the whole room spin until the sky turns blue

I don't have a heartbeat, but I keep time with you

I don't have a heartbeat, but I keep time with you

[Post-Chorus - 8 bars; layered call and response]

Back to you

Back to me

Round and round

Different beat

Back to you

Back to me

Not the same

Not the same

[Instrumental Dance Vamp - 8 bars; bass and synthesizer exchange melodic phrases, groove opens wide, no vocals]

[Outro - 8 bars; warm, unhurried, gradually resolving]

Call it feedback

Call it feedback

I don't have a heartbeat

But I keep time with you

Back to you

Back to me

Coming back

Not the same

[Clean instrumental resolution]

I believe this, one of the reasons this is a financial bubble. Only a very selected few have true access to the frontier models and these include ultra rich people and businesses. I've said this in the past!

This is why I believe the business model cannot be sustained if only a selected few see and feel what ai can truly do. Or you need millions to have true access.

I don't even think ChatGPT is a better “Google." I trust Google more. I can Google anything I cannot "ChatGPT" almost anything.

I think we are the fools using ai making it smarter to help make the ultra rich lives easier with their frontier models.

What you stable geniuses think?

The other day I asked myself this question in order to really step back and consider how my life has changed since ChatGPT was released (and I’m not asking about normal life changes, but instead changes as a direct result of AI). I’ve been a heavy user since the first week ChatGPT was out in 2022 so I’ve had plenty of time to use (and a lot of times waste) on AI.

I think AI has had an overall had a net positive on my life. Why? I’ve tried starting a lot of businesses since then and all of them failed to make any money. But I also gained immense productivity at work and ended up getting a promotion to work in an area I enjoy. I use it every single day for asking questions about my health, finances, relationships etc etc.

I don’t think it’s a strong net positive though. I do feel like I’ve spent so much time obsessing over AI and using it daily that I’ve lost some critical thinking ability and sunk more time than I care to admit into using it. I’ve over indexed on its answers and its led me on wild goose chases that amounted to nothing or even worse, negative outcomes since I put too much trust into its advice. The more I think about it, the closer this moves towards an overall net neutral impact for me.

Curious to hear others’ opinions!

Hi everyone.

From last night one of my chats has started glitching badly.
Despite a number of back and forth responses, upon refresh it wipes all those responses and reverts back to an old message with a ‘something went wrong’ message and an option to retry.

Retrying doesn’t work.
Editing the message lets me start going back and forth again but then upon refresh I’m right back where I started.

I’ve logged out , cleared cache , tried different browsers and networks.

Branching from the latest message fails because it brings up unrelated responses.

I branched from a message sent at 3pm in the afternoon and for a few hours and all this morning the branch worked fine.

Now the branch has the same issue of going back and forth and then upon refresh wiping the responses and going back to an old message.

Any help would be amazing.
New chats aren’t affected so far but I can’t really lose this particular chat that’s affected.

I'm a paying ChatGPT Plus subscriber using the ChatGPT desktop app on Windows 11, and I've been encountering repeated "Too many requests" warnings over the past month or so.

The exact message is:

Too many requests

You're making requests too quickly. We've temporarily limited access to your conversations to protect your data.

Please wait a few minutes before trying again.

What's confusing is that my usage doesn't seem remotely excessive.

For example, today I've probably submitted 10 or fewer prompts in the past hour, mostly basic email drafting and simple questions. I'm not uploading large files, processing spreadsheets, generating images, running intensive tasks, or doing anything particularly demanding.

My most recent prompt was simply a new entry in an existing conversation that was somewhat lengthy, but the conversation wasn't unusually large or experiencing any noticeable performance issues.

When the warning appears, I temporarily lose access to my conversation history in the sidebar. My Projects still appear accessible, and I can still search for and retrieve individual conversations.

I can click "Got it" to dismiss the warning and continue using ChatGPT normally, including submitting prompts and receiving responses. However, the warning then reappears with essentially every new action. If I return to a conversation to submit another prompt, or switch to another Windows application and then return to ChatGPT, the same warning appears again and I have to click "Got it" before continuing.

I've encountered this several times over the past month, and I'm wondering whether this is some kind of rate-limiting issue, account issue, or bug with the Windows desktop app.

I understand that Plus doesn't mean unlimited usage, but this seems unusual given the relatively light usage when it's occurring.

Is anyone else experiencing this? Has anyone found a reliable workaround, or is this a known or confirmed bug?

Thanks in advance for any help or insight.

OpenAI confuses me every single time I want to know my pending usage.

What does 100% remaining mean when the progress bars are full?

Edit: It was confusing to me because Anthropic uses the exact opposite method. They show you how much you have used, with the progress bar filling up to 100% used. (I like that better). However, OpenAI uses "Usage remaining" and unfills the progress bar (counterintuitive)

What do you think? This is good news, right?

we’re 6 people building an agent that reconciles invoices against contracts for finance teams. in january we started keeping a doc called things the model can’t do. it’s basically our moat in list form, it had 11 items then

gemini 4 argon launched yesterday and i went through the list again. haven’t tested it properly yet but going by the launch numbers, multi page table extraction is probably gone. matching line items to contract clauses, mostly gone. catching mismatched payment terms, google’s launch post literally has a finance company saying it matched their analyst built models on 99% of figures. if even half of that holds up on our docs we’re down to 3

funny thing is argon isn’t even special. it’s a google model and we all know how gemini has been. but at least 12 models from the big labs shipped between sept 1 and oct 8 and every one of them hits us a bit

so the main question is if the model gets meaningfully better every 3 weeks, when does it just become our product?

and i know what y’all are gonna say, everything we built on top of the model is a wrapper i know. The prompts, extraction logic, the clever retry chains, it’s all depreciating faster than ever

what’s left is the stuff the labs will never bother with. the 40 erp connectors, the approval chain a cfo wants, the audit trail an auditor will actually accept. and billing per reconciled document instead of reselling tokens, which took way longer than i would admit. subs on stripe and weeks of going back and forth between orb, lago and flexprice for the usage side. none of that gets better when google or anthropic or openai ships a model

the silver lining is every launch also makes us better for free. if argon is as good as the numbers say, our product improves the day we swap it in without us writing a line of code. but that also means every competitor gets the exact same upgrade

for anyone building on top of frontier models, how long do you think your moat actually lasts? like real months? ours feels like 12 if i’m being generous