Holy shit...OpenAI just killed its most successful app.
And it's the smartest thing they've done all year.
The Codex app — 5 million weekly users, the fastest-growing dev tool in AI — is gone. As of yesterday, it IS the ChatGPT desktop app.
Why would you kill something that's working?
Because of one stat buried in their launch post:
1 MILLION people were using Codex for work that had nothing to do with code.
Finance teams. Sales teams. Marketers. All quietly using a "coding agent" because it was the only AI that actually finished tasks instead of chatting about them.
OpenAI saw it and made the call: the agent isn't a dev tool. It's the product.
So now Chat, Work, and Codex live in one desktop app — on every plan, including free — and it can use your files, your apps, and your browser.
The chatbot era ended yesterday. Nobody sent a press release saying so, because the press release was about benchmarks.
But watch what people build this month.
looking at the DeepSWE leaderboard, sol max takes first place at 73%, ahead of fable 5.
but i did the math and something felt off.
→ sol xhigh: 71%, $4.70, 41k output tokens, 44 steps
→ sol high: 69%, $3.47, 28k output tokens, 37 steps
→ sol medium: 61%, $1.86, 18k output tokens, 31 steps
drop from xhigh to high and pass rate loses 𝟮 𝗽𝗼𝗶𝗻𝘁𝘀. cost falls 𝟮𝟲%, output tokens 𝟯𝟮%, steps 𝟭𝟲%. that trade is a steal, and with subagents running in parallel the savings stack.
scale it to 100 tasks. high solves 69 for $347 and 3,700 steps. xhigh solves 71 for $470 and 4,400 steps. 𝟭𝟮𝟯 𝗺𝗼𝗿𝗲 𝗱𝗼𝗹𝗹𝗮𝗿𝘀, 𝟳𝟬𝟬 𝗺𝗼𝗿𝗲 𝘀𝘁𝗲𝗽𝘀, 𝟮 𝗲𝘅𝘁𝗿𝗮 𝘁𝗮𝘀𝗸𝘀.
two cheap traps on this board. luna max looks like $3 until one task takes 𝟭𝟬𝟮 𝘀𝘁𝗲𝗽𝘀 and 73k tokens, almost 3x sol high. terra high is $1.13 but passes 𝟱𝟰%, and the rework eats the savings.
so the config i'd run: main agent on 𝘅𝗵𝗶𝗴𝗵 for planning and review. code and bugfix subagents on 𝗵𝗶𝗴𝗵. search, docs, and test runs on 𝗺𝗲𝗱𝗶𝘂𝗺.
GPT-5.6 is rolling out in the API.
Sol is our flagship model, leading in coding, knowledge work, cybersecurity, and science.
Terra delivers performance competitive with GPT-5.5 at lower cost. Luna is our fastest, most affordable model for high-volume tasks.
Fable 5 vs Grok 4.5 vs GPT 5.5
We put three top-tier models to build a same game challenge.
Used Command Code /design, and the exact same prompt.
Result:
Grok 4.5 genuinely plays like a polished mobile game.
Fable 5 and GPT 5.5 feel too fast. Everything feels rushed, lacks finish.
Ranking based on DX & Features:
→ Grok 4.5: 9/10
→ Fable 5: 7.5/10
→ GPT 5.5: 7/10
New today:
- GPT 5.6 Sol, Terra, and Luna
- ChatGPT Work
- The new ChatGPT desktop app
- Unified plugins across ChatGPT & Codex
- Sites (Beta) in ChatGPT
- Multi-tab and enterprise auth in the Browser
- Faster Computer use
- and much more
Today’s release is very special to the team and me. Let’s walk through it:
GPT-5.6 Sol vs Fable 5.
I put both through my hardest frontend test: a 3D globe dashboard.
Same prompt. Same reference image.
Sol on the left. Fable on the right.
GPT-5.6 Sol is a major leap from 5.5.
Fable 5 still wins on spacing, balance, and first-pass polish.
For me, Sol comes close at half the cost.
GPT 5.6 Sol & Terra just made Fable 5's pricing look like a joke!
We gave OpenAI's top models (Sol, Terra) and Anthropic's top models (Fable 5, Opus 4.8) the same 3 prompts:
• Supernova boom
• Meteor hitting a city
• Solar system model
The bill:
Sol: $4.77
Terra: $1.24
Fable 5: $9.94
Opus 4.8: $2.46
Outputs came out surprisingly close. The prices didn't. Fable 5 cost unreasonably more than everything else, with Sol not far behind. Considering latest Fable 5 nerf, it's hard to see what you're paying for.
I recommend using GPT-5.6 Sol Medium as your daily driver, and for really hard problems to switch to Extra High.
If you want the absolute best and are not afraid to burn usage fast, then Ultra is a beast.
1st day with Sol ☀️
It's far smarter and more capable than GPT-5.5.
I really enjoy it so far, and it's untangled some of the problems that were tripping up GPT-5.5.
PROS
- More intelligent analysis
- More self sufficient
- Works harder
The biggest issue I ran into is that something about my workflow is burning tokens. My agents are doing something inefficiently with my "chief of staff" and PR status checks.
CONS
- Token burn: Weekly usage at 40%
- Sometimes stops following some of my directions (GPT-5.5 has been worse)
I'm still trying to understand why some of these tasks are taking so long to verify. But I finally have a new testing harness in place with my MacBook Air M5.
Agents can now push tests to my MacBook, so the UI tests no longer interrupt me. It's a nice CI/CD setup with Codex in the loop. This test setup should improve verification and give me more confidence.
I built a skill to let my Claude Code build premium landing pages like this in one shot. The 3 sites in the video are one-shot results, ~$10-15 each.
Register @higgsfield_ai , install the CLI and scroll-world skill, hand the rest to Claude Code.
When Claude is working in a channel with four people, whose credentials does it use?
The answer: its own. When tagging Claude, Claude gets provisioned like any other teammate, with its own credentials.
We call this access model "agent identity". Here's how it works: 🧵
INSTEAD OF WATCHING NETFLIX TONIGHT.
Spend 1 hour with this.
Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything.
The people who watch this tonight will wake up tomorrow with a new skill.
Watch it and Bookmark it now
The best way to code extremely complex systems
Fable 5 - architect and super planner
Opus 4.8 - front-end code
GPT 5.5 - back-end code
GLM 5.2 - easy code
A conversation with Boris Cherny and Cat Wu on the path from Claude Code to Claude Tag, and how it spread from engineering to the rest of Anthropic.
Claude Fable 5 is now available in Claude Tag.
Best accounts to follow from each frontier lab to stay constantly up to date
Anthropic
@karpathy
- must-follow account for AI; recently joined Anthropic
@bcherny
- Claude Code creator, always shares great tips
@trq212
- also a Claude Code developer; writes amazing articles on CC
OpenAI
@polynoamial
- works on reasoning research, shares a lot of technical details
@gabriel1
- Sora developer, great career path
@jxnlco
- works on dev experience, shares a lot about Codex
Google AI
@OfficialLoganK
- all the major Google Gemini and AI Studio updates
@ammaar
- product and design; shares great things about vibe-coding in Google AI Studio
@fofrAI
- cool use cases for generative models
Cursor
@leerob
- the loudest voice behind Cursor updates
@ericzakariasson
- shares great insights on using Cursor
@mntruell
- Cursor’s CEO; major releases and usage updates
xAI
@milichab
- recently joined xAI, shares updates on Grok
@skcd42
- also covers major Grok releases
@ai_explorer25
- covers all ai content and free resources
This is an insane Fable 5 UI/UX hack.
This "Taste" skill completely kills generic AI-slop and gives Fable 5 the tools & instructions needed to ship beautiful design.
This might just be the best AI skill I've ever used.
https://t.co/XVQ6JpjYCy