Here is how we are prioritizing compute over the next couple of months in light of the increased demand from GPT-5:1. We will first make sure that current paying ChatGPT users get more total usage than they did before GPT-5.2. We will then prioritize API demand up to the currently allocated capacity and commitments we've made to customers. (For a rough sense, we can support about an additional ~30% new API growth from where we are today with this capacity.)3. We will then increase the quality of the free ti ...

This feels so primed for enterprise adoption. Brad When I think of writing, when I think of coding, what is the opportunity that. Yeah, well, good morning.Thanks for having me. GP five is a significant step forward in a few different domains. So you mentioned coding, you mentioned writing in health for consumers and medical professionals, and we think that opportunity unlocks an amazing set of things in the enterprise that now become possible.It's a much more reliable model. So it's better at things like ca ...

GPT-5 now rolled out to 20% of paid users and doing >2B TPM on the API! so far so good...excellent work by the eng and infra teams! ...

[Music] the number of agents in the world I believe won't just match number of humans but they will basically be the number of humans to the power of n and what is the power of n I have really no idea but we can see already today that we are using multiple of them more are spinning up more and so it will be a very very large number and this isn't just hypothetical I mean we don't have a lot of data around this I actually researched a lot and try to find what we have but the some key elements that we do have ...

E-commerce Evolution with AI - E-commerce has evolved from physical stores to online platforms, and AI is now digitizing participants and their interactions, moving from static websites to merchant and consumer agents [1][2][5] - The goal remains transaction completion, but the focus shifts to dynamic, real-time, and generative interfaces for both human and agentic consumers [6][7] Challenges and Solutions in the Agentic Commerce - The industry faces challenges in enabling software agents to complete transactions, with solutions including delegated authentication via partners like Visa [13][14][15] - Moving from inferred buyer intent (keyword searches, click data) to explicitly captured intent through conversation data is crucial [16] - Merchants are exploring how to convert fuzzy intent into specific product SKUs, noting higher conversion rates, dollar values, and lifetime values from AI channels [17][18] - Ensuring product availability across numerous stores requires moving beyond existing product feed infrastructure and web scraping towards a unified API for product data [20][21][22] - Representing buyer and seller preferences needs to evolve from siloed data to rich context across all aspects of their lives, with market design challenges addressed by third-party institutions [23][24][26] The Future of Retail and Brand Strategy - Fortune 500 companies are adapting to technological shifts, with examples like Samsung evolving from a fish merchant to a technology leader [29][30] - Brands are creating APIs and MCP servers for chat clients, abstracting complex product systems into consistent APIs [31][32] - Companies are connecting product data with brand and design systems to experiment with generative interfaces and conversational commerce [33][34] - Enabling payment flows for bot traffic is essential, as AI chat users demonstrate higher intent and conversion rates [35][36] - The industry believes stores will evolve back to their original form: a conversation, with brands owning surfaces in various applications [36][40]

This video takes a quick introductory look at the new ChipScoPy API. ...

RT xAI (@xai)We’re thrilled by the overwhelming demand for Grok 4 through the xAI API.To support our API customers, we’ve increased the default rate limits for Grok 4. Happy building! ...

Imagine you've built a perfect agent for your blog writing team. Now your social media team wants to use it but they need different prompts, different models and different tools. But modifying your underlying code for each use case is not only time consuming but also prone to errors.This creates two distinct problems. Developers get stuck in constant code changing cycles that slow down iteration while business teams can't experiment without engineering support. That's where Lang graph assistants come in.Tod ...

AI Readiness & API Transformation - Every website must be "Agent-ready" in the coming era [1] - APIs need to be transformed into reliable, AI-ready tools [2] - Postman's 90-day AI readiness playbook details how to turn APIs into reliable, AI-ready tools [2] Key Components for AI-Ready APIs - Predictable structures are essential for AI agents [3] - Machine-readable metadata is crucial for AI understanding [3] - Standardized behavior is necessary for seamless AI interaction [3] Postman Playbook Highlights - Automatic documentation can be achieved by standardizing API format, Postman's Spec Hub automatically generates and validates API docs for both humans and AI agents without any manual work [2] - Validated specs can be turned into hosted, function-style endpoints, letting AI agents invoke APIs like native commands [3] Impact of AI Agents - Agents will make purchases, not humans [3] - Agents will find the best options, not humans [3] - Agents will fill out job applications, not humans [3]

Welcome everyone. Uh my name is Mason Edgar. I work at Temporal and today we're going to talk about uh events are the wrong abstraction for your AI agents.So uh who here raise of hands recognizes what this diagram is out of curiosity. Okay. So this is a map of our solar system um in a geocentric projection. Uh this is where we have earth as the center of our solar system and this is how celestial objects move around the earth.And this was used to kind of calculate uh celestial trajectories prior to like the ...