Peter Welinder

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Peter Welinder

Peter Welinder

@npew

Devices @OpenAI

San Francisco, CA Katılım Nisan 2010
947 Takip Edilen43.8K Takipçiler
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Mitchell Hashimoto
Mitchell Hashimoto@mitchellh·
A ChatGPT automation just found ~$45K in erroneous invoices across 3 years of billing history that I've confirmed and already had resolved. My lifetime history for ChatGPT is ~$1,800, so it just paid for itself 25x over. I setup an automation with read-only access to my email, and tasked this one specifically with analyzing construction invoices. It has access to prior construction invoices, emails, meeting notes, etc. It produces a report and emails it to me (the only email its allowed to send, enforced by API token) whenever I receive a construction invoice. Across 3 years of construction projects, it found about $45K in issues. Some were wrong amounts, some were duplicate invoices, some were invoices addressed to the wrong person. I manually verified, emailed my GCs, and got refunded/credited. I get multiple construction bills each month and each bill is ~50 pages in a PDF of low-quality scanned paper. I do manually review each bill but its pretty hard to be right all the time. I do believe these were genuine mistakes and not done out of ill will just based on what the mistakes were. I don't want to share my full construction costs across the past few years, but $45K is a very small percentage of overall billed amounts. Pretty sweet.
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Ian Curtis
Ian Curtis@XRarchitect·
Testing sol 5.6 tonight. Built this using 8thWall webAR + sparkjs (open source) with a world labs gaussian splat generation of new interior design of my living room
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Prasenjit
Prasenjit@prasenx·
just asked gpt-5.6 sol in cursor to set up blender mcp and make me a realistic floating macbook, then render the whole thing. never opened blender once in my life before today.
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Soumitra Shukla
Soumitra Shukla@soumitrashukla9·
Anthropic: Here's our SOTA model but you get to keep it for 2 weeks only in the paid plan. We won't communicate any further. Good luck. OpenAI: Here's our SOTA model equivalent to Anthropic's and you get to keep it in the paid plan always. Oh and we'll reset your limits 10x per month too. Pretty clear which approach is winning.
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Jay
Jay@jayair·
We've usually stayed away from model comparisons but 5.6 vs Fable is a unique situation We've never had a case where the team is so completely convinced on which one is better Here's the timeline of our experience with it - We test early versions of 5.6 for a couple of weeks and have a great time, it feels like a step change improvement, enabling new workflows - We get to try Fable and don't think it's not as good, I personally would take this experience with a grain of salt, there tends to be a bias when trying a new model when you already like another - Fable and 5.6 are taken away because of the regulatory issues - Our team is literally depressed that 5.6 is gone, we are looking for anything that could even partly replace it - Fable comes back, and here's where it gets interesting, you would think Fable would be enough, but no, the team is still depressed that 5.6 isn't available - Then 5.6 comes back and it's immediately clear that it's just way better than Fable This situation was unique in that it was the closest we've ever gotten to having an unbiased comparison of two models
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Pietro Schirano
Pietro Schirano@skirano·
I can finally talk about 5.6. I’ve been testing it for months and, without exaggeration, it’s the best model I’ve ever used. Fast, smart, genuinely creative, and you guessed it, they finally fixed front-end design. I haven’t needed to check the code I’ve written in two months.
OpenAI@OpenAI

GPT-5.6 Sol, along with Terra and Luna, will launch publicly this Thursday. We’re expanding preview access globally now.

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Peter Welinder
Peter Welinder@npew·
Love this country! 🇺🇸
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Zach Tratar
Zach Tratar@zachtratar·
Married the love of my life last week! ❤️
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Ramesh
Ramesh@GonepudiRamesh·
Chatgpt is still the best model , it's time to integrate the GPT api with Camera and voice to control robots , gpt models will externally monitor robots and push the required training data or command for robot to do a task @sama @npew
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Lenny Rachitsky
Lenny Rachitsky@lennysan·
Having Codex handle all the Google Cloud settings itself (using its in-app browser) is so awesome
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Karine Hsu
Karine Hsu@karine_hsu·
wow sick new billboards from openai
Karine Hsu tweet mediaKarine Hsu tweet mediaKarine Hsu tweet mediaKarine Hsu tweet media
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Peter Welinder
Peter Welinder@npew·
8pm on Friday night and kids are in bed. Time to build.
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vibebuilder
vibebuilder@vibebuild·
@npew I haven't looked much into the bench, but how are they validating that the model isn't being handed off to Opus?
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Peter Welinder
Peter Welinder@npew·
GPT-5.5 vs Fable: ~same performance, but GPT-5.5 costs 50% less and so can do twice as much work.
Artificial Analysis@ArtificialAnlys

We've updated the Artificial Analysis Coding Agent Index, replacing SWE-Bench Pro with Datacurve's DeepSWE benchmark - the swap lifts Codex with GPT-5.5 (xhigh) above Claude Code with Opus 4.8 (max), while the newly released Claude Fable 5 (max) in Claude Code debuts at the top DeepSWE, built by @datacurve, writes its tasks from scratch rather than adapting them from public GitHub issues or pull requests, so no model has seen the solutions during training. That matters because SWE-Bench Pro, the benchmark it replaces in our Coding Agent Index, had grown gameable, with some models recovering the fix from the repository's commit history instead of solving the task. The swap reorders the index: Codex with GPT-5.5 (xhigh) rises from 65 to 76, overtaking Claude Code with Opus 4.8 (max) at 73. Claude Code with Fable 5 (max), which enters directly on the refreshed index, leads at 77. SWE-Bench Pro had been flattering some combinations and penalizing others. More below.

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