PM on model behavior / research @openai From St. Louis

Joined September 2013
RT @OpenAI: GPT-6 Pro in ChatGPT got an upgrade with faster responses and improved use of plugins and tools. And now, multiple agents can…
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"Wind adjust my last 6x800 workout, compare before and after" chatgpt.com/share/6a9f7fec-6… 1. Pulls data from Coros 2. Analyzes GPS coordinates + timestamps and matches them to NOAA wind observations 3. Used a Pugh-based air-resistance model to calculate estimated impact 4. Makes graph of wind adjusted times 🔥 GPT + Astra + Coros Plugin 😔 Positive effective splits
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Jake Bernstein retweeted
Post your best codex billboard
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I'm a boomer with finance: I download monthly expense CSV from Chase, Amex, WF, BoA, merge them, and then manually tag. Always preferred this to Mint, etc. For years this meant 30 minutes/month of pure frustration with clicking through archaic banking interfaces to download the right CSV. Tried computer use several times for this past couple years, never worked consistently till now. @arix @JamesZmSun and team are absolutely cooking and CUA is really turning a page.
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Jake Bernstein retweeted
Fun fact I built / experimented / shipped this feature as a newbie PM to @ChatGPTapp entirely thanks to Codex If you're a PM (or designer!) try prototyping + shipping directly to the codebase The hardest part often the local build and the good news is Codex can help there too
table of contents for your long-running chatgpt conversations:
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Jake Bernstein retweeted
we shipped a new version of gpt-5.5 instant today. the previous model was too bullet pilled. the new one improves on some other important dimensions: sycophancy, factuality, and multilingual performance. hope you'll like it! always interested in feedback
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My desktop is a wasteland of product onboarding flow screenshots and old receipts. Codex: “Rename the screenshots on my Desktop based on what's in the actual image.”
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Initially heard about this idea from here: wonderingaboutai.substack.co… and also @alexalbert__xitter.cf/alexalbert__/status/20… When I worked at Meta, I used Claude Code for this. Both tools can do the job and quality seems comparable, with a couple key deltas: 1. Codex is cheaper/more token efficient: on a recent batch of 60 screenshots: Codex used 1/4 as many tokens - 31K (5.5 High) vs. 115K (Sonnet 4.6 High) 2. IMO Claude Code provides more friendly/understandable updates for non-technical users
One of the bigger shifts for me with Claude Code over the past few months has been shutting down that initial dismissal I have when a task feels "not worth my time" Like I'll think "it would be nice to rename all my screenshots with what's actually in them" and immediately move on. Now I just ask Claude and it takes one minute to find out if it works. When I zoom out, it gets kind of dizzying. Almost anything you can imagine doing on a computer is quickly becoming available if you can just string together the right words to describe it.
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Sure you can use GPT 5.5 Pro for frontier math... but you can also use it to make a coffee table book with the history of your home. Here's my neighborhood in St. Louis in 1941.
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Prompt: "You are an expert St. Louis Historian and should use all resources available to you. Included is the public record for {redacted address}. Reference these to help you speed up/direct your research. My parents own {redacted} address. For a house gift, I want to make a report which talks about the history of their house/neighborhood. I will print this report at Fedex, bind in spiral book and give to them as a gift. It should include things like 1. old photos of house/street/neighborhood 2. old maps, where possible annotated with historically interesting/relevant facts 3. interesting facts about the house, street and neighborhood Other tips - if you are struggling to find info on S Meramec Ave,, discussing Clayton, Davis Place and N Meramec is also useful. Their interests include fitness, medicine, judaism. If there is anything about these topics in clayton, be sure to include. Constraints - report should be interesting and visually appealing, not strictly a table of facts - output in multiple ways 1/ in PDF 2/ content in thread here 3/ downloadable .md markdown file. You are an expert St. Louis Historian and should use all resources available to you. Included is the public record for {redacted address}. Reference these to help you speed up/direct your research." Optionally, attach a public record of your address for better result (download for $1 online).
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Text can use some improvement, but the general content/formatting are FAR better than 5.2 Pro, the last time I tried this.
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Jake Bernstein retweeted
Codex computer use entirely driving iphone simulator to bug bash a feature it just built
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I joined OAI in end of Feb. Started as a Codex boomer, bottom 5% of employees. Now I'm a believer.
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My favorite use case: xitter.cf/jake_bern/status/20569… Important caveat: graph ends May 8. Now we're counting ounces instead of tokens :).
Replying to @jake_bern
Spreadsheet++: I used to live in spreadsheets. Now, when I’m labeling data or auditing LLM judges, I ask Codex to spin up a custom UI with filters, side-by-sides, etc. These UIs never get committed - they just make reviewing data +50% faster and more fun.
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A month ago, I was in the bottom 5% of Codex users at OpenAI. Now I’m near the top. Here’s how I’m using billions of tokens:
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Data pipelines on demand: In the past, I’d punt when a “quick analysis” required joining sheets, rater campaigns, CSV exports, and internal tools. Too messy and tedious. Now I ask Codex to fix row IDs, check missing columns, find duplicates, and move everything into a standard schema.
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I'm holding my own w/@JustinBleuel in token count, but just about 1000X behind him in production PRs :)
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