Caroline McCloskey

welp. i had one of those rare fall off your chair moments yesterday working with codex + our newest model gpt-5.3-codex. 20ish turns and 33,082 tokens later. here's the result: alistairtown.vercel.app 🤯 🧵

we are grateful to the more than 1 million business customers building with us openai.com/index/1-millio…

what started as a search engine for academic papers is now an agentic system that reads, reasons, and cites like a researcher, built with GPT-5 and our Responses API. congrats on the Scholar Agent launch today @c_salem2 @IPlayedD1 and @ConsensusNLP team !! openai.com/index/consensu…

We are thrilled to partner with @OpenAI on this launch. Scholar Agent is powered by GPT-5. @sama, @gdb, @kevinweil and team have built an amazing product that powers the future AI-enabled scientific exploration and discovery. More on our partnership⤵️ openai.com/index/consensu…

Today we’re launching Scholar Agent, your AI copilot for scientific exploration. Scholar Agent breaks the shackles of the Google Scholar search experience. It plans and runs multiple searches, applies filters, and synthesizes results into a clear, citation-backed report⤵️

rox is now in ga!

@voynow @dgrreen @OpenAI @surbonas hey @voynow what's your email? will loop you in directly

@dgrreen @OpenAI @surbonas @caromcc_ hell yeah thank you if either of you can help pls message me :)

> My team needs an enterprise openai contract for data privacy reasons > I submit the “Contact Enterprise Sales” form > Automated response saying they recommend using “self service” instead No! We *need* the enterprise contract 😂 please @OpenAI take my money

Prompting GPT-5 is different. In the examples below, optimized prompts: • Cut runtime by 1s • Dropped memory use 3,626 KB → 577 KB • Boosted code quality • Improved robustness (0.32→0.54) • Increased context grounding (0.80→0.95) We built a prompt migrator + optimizer so you don’t need to memorize every GPT-5 best practice.

GPT-5 from @OpenAI is live and powering Unify’s Observation Model and AI agents today. We’ve worked closely with OpenAI over the last few weeks to test and give feedback on GPT-5 and I'm incredibly impressed with where it came out. We’ve found this is a big upgrade across 3 dimensions: multimodal browser use, tool call efficiency, and steerability:

huge congrats to the entire @cursor_ai team

melting silicon has a very distinct smell

@adhsu @OpenAI @speak we love to see it - thank you for the feedback @adhsu

Congrats @OpenAI! Some thoughts from testing the new GPT-5 models @speak over the past several weeks: - Significant leap in the reasoning frontier - your strong assumption now should be that it can crush most real-world complex tasks across a giant context window/dump, and if it doesn’t, it’s more than likely that your prompt isn’t good enough or you need to provide more clarity. Your ability to think in a structured manner and write with clarity is the big bottleneck now. - We were the most impressed by GPT-5's pattern recognition and reverse engineering capabilities across giant context dumps. It’s super good at systematically understanding and generalizing from examples to create structured workflows or playbooks. - Example - over the years, we’ve developed a highly opinionated and structured pedagogical methodology for functional language fluency that we call the Speak Method, but have struggled for years to distill and document it into a playbook clearly enough. Gemini 2.5 Pro and o3-pro couldn’t do this, but GPT-5 did an amazing job analyzing a large dump of our curriculum/content and breaking down/generalizing the principles necessary to scale our content. This was really surprising and felt superhuman. - We've found previous reasoning models both slow and inconsistent in their logical leaps. GPT-5 feels far more consistent and accurate on reasoning tasks, which is transformative for our curriculum scaling process and language tutoring capabilities. - Zooming out and speaking as an extremely heavy user of both ChatGPT and the API, I’m super excited (and relieved!) that the constellation of models is going away and everything is getting unified. It’s absurd that the full model is priced ~same as o3/4.1 and 5-mini is 5x cheaper! This day has been coming for a long time, and we expect to switch all of our realtime usecases over with reasoning=minimal. Huge congrats to the OpenAI team and we can’t wait to bring all this to our users this quarter!

@thatguybg i promise we're working on it

I regret to inform you GPT-5 performed very poorly on the em dash benchmark

yes @bfioca !!!

@michpokrass running the show

gpt-5 livestream rn: chatgpt helps cancer patients understand their diagnosis and plan ahead we're just getting started

here it is

this is mambo number 5