
@jonblemmoni
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Enterprise AI Deployment at OpenAI | SF | KC Native
San Francisco
Joined May 2009
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Things are moving a lot faster than people appreciate right now.
We’re working with an independent advisory group of mathematicians to help OpenAI responsibly share advances in AI and mathematics.
The group will advise on how we assess and communicate new mathematical results, uphold academic and professional standards, and build tools that support mathematical research and learning.
Through this work, we want mathematicians to be at the center of shaping how AI supports mathematical understanding and how its benefits reach the wider community.
openai.com/index/advisory-gr…
Jon Lemmon retweeted
Luna is the first closed source model in a long time to top the OpenRouter charts!
Great job to the OpenAI team! Incredible combination of price and performance.
Jon Lemmon retweeted
We are going to need a different AGI benchmark. Where is the goalpost moving next?
Jon Lemmon retweeted
Way more people are excited for GPT Astra than Fable 5.1 and it has nothing to do with benchmarks.
Anthropic misled Max users for a year and went silent when they got caught. OpenAI got called out on Codex limits and shipped fixes and resets within days.
People do not root for the smartest model. They root for the lab that treats them like customers.
GPT Astra is the people's model.
Magic 🪄
ChatGPT Work can now use its computer and browser to sign in to websites on web and mobile, without ChatGPT ever seeing your username or password.
That means you can ask it to:
• Set up utilities for a new apartment
• Book a DMV or passport appointment
• Check reimbursement costs through your insurance
• Find and book an in-network doctor around your availability
• Check when your car registration expires and prepare the renewal paperwork
• Compare your rental insurance policy with an issue you’re emailing your landlord about
• Find and save apartment listings that match your criteria
• Restock something just by uploading a photo
• Schedule a package pickup for a return
• Cancel tickets for a rescheduled trip
• Book a vet appointment
• Submit reimbursement paperwork for medical treatments
• Check resale sites for new drops and save things you might like
• Find candidates with specific experience and draft outreach
• Take invoices from your email and submit them to your accounting software
• Draft replies to rental property inquiries
• Fill out permit applications for your small business
• Add action items to a vendor portal based on a recent client call
• Analyze the latest ad campaign for your small business
one of the most beautiful things about OpenAI is that every employee really has a voice.
i wanted to capture what it feels like to work here, what our mission means to me, and why you should join us. so i made this video with Codex, shared it with the team, and they felt it was worth producing and sharing with the world.
this is our mission. and it’s why i’m here.
Jon Lemmon retweeted
our models are built to provide the best price for any given task.
if you're able to get better price/perf on any workload, would love to hear the details and look at it together — [email protected].
GPT-5.6 sol beats Fable 5 on most published benchmarks at less than half the cost
openai played this perfectly
anthropic either sticks to its plan of making fable api-only on the 12th or pivots again and looks foolish, possibly keeping it on the subscription at full usage instead of 50%
Jon Lemmon retweeted
The new ChatGPT Work comes with a new Computer Use experience.
It's faster and introduces picture-in-picture, so you can keep an eye on Computer Use while it works!
Jon Lemmon retweeted
GPT-5.5 vs Fable: ~same performance, but GPT-5.5 costs 50% less and so can do twice as much work.
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.






























