Reading up on OpenAI

The more I use Opus 5.5, the more I realize how far behind OpenAI models are. Not just coding. Everything. I sent GPT-6 Astra my V02 max lab test results, and it gave me a headache. 200 sentences of: "your report shows this, I think that, therefore it's inconclusive". On the other hand, Opus 5.5 gave me the gist and actionable steps. OpenAI models right now are like that overthinking guy who can't make a decision. Opus 5.5 is that high-agency friend who tells you exactly what you need to hear in one sentence. I don't know how the gap widened so much in the last few months.

@marclou

We're going beyond text and are releasing a new version of GPT-6 to all users in ChatGPT. Lots of model and infra improvements coming together here to scale it to 1.2B users!

@thsottiaux

Your next meeting comes with a note-taker who can help with the follow-up. The Meetings plugin takes notes for you and saves a personalized summary and next steps in ChatGPT Space, based on what ChatGPT knows about you and the work you’ve done together. Keep notes private or share them with your team, then ask ChatGPT to update a project plan or draft a follow-up. Available in beta for Pro and Business users in the ChatGPT desktop app on macOS. Enterprise is coming soon. Download the desktop app, then search for “Meetings” in the plugin directory.

@ChatGPT

My biggest takeaways from @thsottiaux: 1. Most actions on the internet will soon be taken by agents, and Tibo doesn’t think most people have priced this in yet. When Notion launched its MCP server, it saw a flood of traffic, which strained its systems and forced it to rethink its economics. Every product team will soon have to decide whether to build for agents. You can hold off for a while, Tibo says, “but it is inevitable.” 2. The model picker is likely going away. One of Tibo’s biggest frustrations with the current state of AI is that users have to think about which model to use and what reasoning effort to apply. “I myself even get fatigued with the model picker,” he said, and he wants to get rid of all of it as quickly as possible. Dots ships with no model picker at all. You just talk to it. 3. Build as if models will be 10 times better in a year. Tibo thinks models will get cheaper and faster “at rates that are quite incredible,” and that all modalities will finally work together seamlessly. When he looks at what people are building, his reaction is often “you’re not quite getting it.” If you imagined “all of this being roughly 10 times better than it is today,” what would you build differently? His own forecast was too slow: he expected today’s capabilities a year or two from now. 4. Loops, graphs, and fine-tuned prompts are not the long-term solution for getting the most out of AI. There was a period when people got very excited about configuring agent loops and building intricate graph architectures. Tibo thinks that era is ending. 5. While Dots got most of the attention at DevDay, Tibo thinks the plugin ecosystem will be the sleeper hit. OpenAI launched with 16 partners for “Sign in with ChatGPT,” and popular third-party plugins will share in revenue when subscribers spend tokens with them. ChatGPT recommends plugins inside conversations based on retention and quality, which can put a good one in front of “a significant slice” of its 1.2 billion users. Tibo’s advice to developers trying to get discovered: “Build a good plugin.” 6. Tibo’s Dot warned him that production was down five minutes before the DevDay live demo. The agent figured out that DevDay was happening that day, that the demo was minutes away, that the demo probably depended on that production system, and that Tibo would want to know. It pinged him just as the launch was about to begin, and it even offered to fix the outage. His reply: “I don’t think you’re there yet, little Dot.” 7. Tibo’s agent teams grow and shrink with every model release. When he’s pushing the frontier, he builds larger and larger teams of agents. Then the next model lands, “a bigger agent can just do all of it and keep everything in memory and learn,” and he shrinks the team again. Expansion, then shrinking, then expansion. Don’t get attached to your setup. 8. Skill trending down in value: typing fast. Skill trending up: taste. Tibo says the people thriving now deeply understand the user, learn quickly, and “know what good looks like.” That’s part of why OpenAI is full of former founders, more than 120 of them, which makes it feel like “a mega startup.” 9. Tibo changed his mind about new grads. He hadn’t anticipated how fast younger people would embrace all this change and figure out how to harness it, and that shifted OpenAI’s hiring strategy. His example is Ahmed Ibrahim, hired as a new grad, who built much of the Codex harness and is now responsible for OpenAI’s compute fleet. What set Ahmed apart: he’s “incredibly kind,” “incredibly collaborative,” works on what matters without putting himself first, and is “a sponge,” using the latest tools to learn at speeds Tibo hadn’t seen before. 10. We’ll likely address the burnout associated with AI. There’s pressure to run 30 agents at once and ship more because you can. Tibo wants AI to “reduce the noise” and let you put your attention where you choose. Every time he fully disconnects for a week of holiday, he starts thinking in more creative ways, and he wants to bring that into the workday. Maybe you need fewer meetings, and you’d be more productive if you were better rested. The industry still has to figure that out, he says, but that’s the promise of AI: “it’s not just one more prompt per second.”

@lennysan

Muse, dots, Instinct, and the question every agent will be asked

@worldnetwork

I built Apple Reminders…inside ChatGPT. This is real, and it's a native ChatGPT Extension you can try right now. Free and open source. Version 2.0 of my Reminders CLI, RemCTL, is out now with complete support for MCP and the brand new @OpenAIDevs MCP Extensions. With RemCTL 2.0, you have a power-user interface for Reminders inside ChatGPT for Mac. You can use keyboard shortcuts, there's a ⌘K palette, and view tasks as lists, Kanban, or Calendar. It's basically "Reminders Pro". But most importantly, you can work with ChatGPT in this Reminders UI and ask it to do whatever you want. Attach any task to a conversation, or select multiple ones and pass them to ChatGPT. I was inspired by @danshipper's concept of "Codex apps", and when I saw @mxstbr's announcement yesterday, I knew what to do. This feels like a brand new way of getting work done, and I'm excited to build more. Have fun!

@viticci

I literally can't think of a better risk/reward bet right now than building a ChatGPT plugin and getting in front of their 1.2 billion weekly users. As of yesterday, ChatGPT recommends plugins in the middle of conversations. Millions of questions get asked every day with no plugin to recommend. Each one is an empty slot. Facebook apps in 2007. iPhone apps in 2008. TikTok in 2019. Every big platform has a few months where distribution is free, and most people miss it. I saw this firsthand when I lived in SF building venture backed companies. They are sacred times! If I were starting this week: 1. Find a tool or workflow people already Google for or do by hand every week (PDF to Excel, invoice generator, weekly client reports) 2. Build it as a ChatGPT plugin 3. Write the description using the exact phrases people type into ChatGPT 4. Ship 5 of them and see which ones get picked up 5. Double down on the one with the most traction In 12 months these slots will be crowded but right now they're pretty empty. Most people will realize ChatGPT plugins were the biggest free distribution channel of 2026 sometime in 2027.

@gregisenberg

You can finally close your laptop now and your agents will keep working. Codex cloud environments are here. Reusable environments mean less setup and faster starts, with your repo, dependencies, scripts, and settings already in place.

@OpenAIDevs

the https://dot.com thing is a good example of people not understanding how the internet works it just means the openai dots launch got more attention even if you think you're being really clever there's no winning. ignoring is the only move you have

@thdxr

Hi, Tomorrow we are re-opening the Pro $200 subscriptions to new subscribers, but together with it we are also changing how we calculate the usage for it. In effect, if you do the math, it will net out at half the dollar in API spend compared to the old Pro $200 plan. Now that it's said, let me explain why this is happening and why you will still get more work done than if you were on the Pro $200 subscription one month ago. (a) We didn't want to compromise in other ways and are committing to not reintroducing the 5h limit, so that you can fully use the weekly usage when you want. (b) On the subscription, we guarantee that over time you always get more work done and with an increasing level of quality. This means that you will continue to get more value per dollar spent as a result of models getting more efficient and us passing down the improvements in the form of API price reductions. (c) We don't want to put an incentive on ourselves to artificially inflate the API list prices to make it look like you are getting a lot (and workaround it through discounts, etc). Instead we want to continue to both rapidly reduce prices and increase capabilities of models on the API. This week we introduced GPT-6 Sol and GPT-6 Luna at 50% of their previous price. Over time, we see prices go low enough that it makes sense for most to buy usage as needed without there being a significant gap between what you get in a subscription and what you get in the API for a dollar spent. (d) Tomorrow, we are adding more things to the subscription that won't draw on the usage, I won't reveal what that is yet. I wanted to be transparent before all the big announcements tomorrow. Lots of new exciting things are coming to the subscriptions that will make it super compelling, but I wanted to make sure to share this change ahead of time so you can all understand it before we shower you with good news. Codexingly, Tibo

@thsottiaux

Used ChatGPT Voice with plugins for a couple of hours. It's remarkably good. I have a feeling it's going to fundamentally change my usage of ChatGPT. First, it works with any plugin I've tested. That includes a custom MCP I made that lets me access my Mac from ChatGPT. I asked to pull a photo from my desktop and my Reminders, and it all just worked. Voice mode with tools can also preview images inline. (I'd love to see MCP UIs rendered inline, though.) Second: live bidirectional voice with tools feels great to use. When I asked to search for a file in Superhuman, I was able to interrupt the model, say "no actually it's in Slack", and it pivoted on the fly. Combined with Fast mode, it's even nicer. The result: I can realistically use ChatGPT Voice to drive background tasks that a) just don't work with Siri AI and b) go beyond simple questions and kick off workflows that involve multiple plugins – all without ever typing. I've been waiting for OpenAI to ship this for a while, and they pretty much nailed this.

@viticci

When people talk about AI companies money flow they miss two fundamental things: 1. It is a winner takes all business. With ASI you take pharma, chips, ... 2. In the long term the idea we have of money will disappear.

@antirez

One of the most underrated features in the ChatGPT desktop app: Appshots. Appshots take the context on your screen and bring it into the desktop app, allowing you to share instead of describe. You’ll be surprised at how useful it is. To get started, press both Command keys on macOS, or both alt keys on Windows.

@ChatGPT

Summoning People of @pidotdev! Been thinking about building this for a while and now it's here! Powered by the new @ChatGPT Live API (released last week) You talk to one skipper. That person delegates to the other agents, and you can keep up with the threads. For brainstorming, bouncing ideas, getting a status update while you walk around, it is just a nice interface. You dont even have to sit at the computer. You can interrupt and brainstorm live. Voice mode on its own has always super limited. But this last generation is actually amazing! These models are still not super smart, and they cannot be. But when you pair it with an agent that can drive the specialists in the codebase, then it can really get useful This is just an experiment I built it this evening. A couple of hours to get it somewhat right. My idea is to have a voice mode skipper agent which is nice to talk to and than can efficiently delegate and give me status updates of whatever is going on.

@IurySza

Today, we’re launching support for Chrome extensions in the ChatGPT desktop app! Bring the extensions you use every day to the in-app browser. You can now install, pin, and use your favorites, like 1Password, while getting things done with ChatGPT. Enterprise admins can now centrally deploy and manage extensions across their workforce so the IAB meets security requirements. Try it out and let us know what you think!

@JamesZmSun

Now I'm convinced OpenAI will need to have a response to this. Grok's voice mode was the only good voice mode (Claude's…isn't) to support 3rd party connectors. Now it's going to be in Bot as well. ChatGPT Voice with connectors + bots at Dev Day?

@viticci

OpenAI is close to releasing their answer to Grok Bot: a product I'll tentatively call Codex Bot, based on OpenClaw. This is what OpenClaw founder Peter Steinberger worked on after being hired by @OpenAI. Release was planned for this week, but was postponed to next week instead.

@mark_k

ok everyone, i took one for the team here's the data we all wanted to see - real token value of each LLM subscription, empirically measured through usage on my real subscriptions - supergrok heavy has now become the highest value at $12k worth of tokens (40x ROI) - the $200 plan from openai and anthropic roughly give the same amount of token value, $7k give or take - cursor ultra's ROI is the lowest among mainstream subscriptions, roughly half of OAI or Ant. for individual consumers i'm afraid this no longer makes sense to purchase this was done in a clean environment. i ran each provider across 5 whole % points of my quota through repeated eval tasks in open source repos, and measured the total token value from all the agent sessions based on API pricing caveat 1 - this only measures their coding agent quota (which is the majority of the offered value), and does not include things like chat bot or grok bot caveat 2 - none of the providers commit to never changing this, so this is a snapshot of what the offering looks like today. i cannot guarantee it won't change again caveat 3 - the token value assumes you exhaust your subscription completely, which may not be realistic in real world usage

@kunchenguid

GPT-6 Astra by our community

@OpenAIDevs