OpenAI — Channel Summaries
AI-powered summaries of 110 videos about OpenAI.
110 summaries
Introducing GPT-4o
OpenAI is rolling out GPT-4o as a new flagship model designed to make advanced AI feel more natural in real time—across voice, text, and vision—while...
GPT-4 Developer Livestream
GPT-4’s standout capability in the livestream is its ability to follow highly specific instructions reliably—especially when paired with structured...
Introducing GPT-5
OpenAI is rolling out GPT-5 as a major step up from GPT-4o, positioning it as a “PhD-level” expert that can think only as much as needed—without...
OpenAI DevDay: Opening Keynote
OpenAI’s DevDay keynote centers on a major shift from “chat” toward practical, agent-like AI—powered by a new GPT-4 Turbo model, new multimodal...
Math problems with GPT-4o
A live math tutoring session demonstrates how GPT-4o can guide a learner through a right-triangle trigonometry problem without handing over the final...
Intro to Agent Builder
Agent Builder is positioned as an all-in-one, visual way to design, test, and deploy AI “agentic workflows” without writing code—then export the...
Introduction to ChatGPT agent
ChatGPT agent is positioned as a unified “do-the-work” system that can plan, browse, and act across a long task horizon—using a virtual computer, a...
Introducing GPT-4
GPT-4 is positioned as a major leap in language AI: it can take in and generate up to 25,000 words of text, handle images, and reason about what...
OpenAI + Dota 2
OpenAI is using Dota 2 as a high-stakes testbed for building safer, more capable artificial general intelligence—by training a Dota player that can...
OpenAI Codex Live Demo
OpenAI’s Codex is being positioned as a practical “instruction-to-code” system: give it a plain-language task, and it generates runnable code that...
Introduction to Operator & Agents
AI agents are moving from chat-based assistance into hands-on work: Operator is an OpenAI system that can take control of a remote web browser,...
OpenAI DevDay 2025: Opening Keynote with Sam Altman
OpenAI’s DevDay 2025 opening keynote makes one central pitch: building useful AI products is getting dramatically easier—because ChatGPT is turning...
OpenAI o1 and o1 pro mode in ChatGPT — 12 Days of OpenAI: Day 1
ChatGPT is getting a major upgrade: OpenAI is rolling out the full o1 model—trained to “think before responding”—and launching a new ChatGPT Pro tier...
OpenAI Five
OpenAI’s “OpenAI Five” is an AI system built to play Dota as a coordinated five-player team, and early results show it can beat amateur squads in...
Dendi vs. OpenAI at The International 2017
OpenAI’s AI Shadowfiend crushed Dendi in a one-on-one match at The International 2017, using a training approach built on self-play rather than...
Sam Altman on AGI, GPT-5, and what’s next — the OpenAI Podcast Ep. 1
Sam Altman pegged the next major leap in OpenAI’s model line—GPT-5—at “probably sometime this summer,” while arguing that the real milestone isn’t a...
Introduction to Deep Research
OpenAI is rolling out “Deep research,” a new agentic capability that can browse the internet for many minutes, synthesize what it finds, and return a...
OpenAI o3 and o3-mini—12 Days of OpenAI: Day 12
OpenAI is announcing two new reasoning models—o3 and o3-mini—positioned as a step-change in performance on coding, math, and general reasoning...
Introduction to GPT-4.5
GPT-4.5 is being rolled out as OpenAI’s largest, most knowledgeable model yet, positioned as a “research preview” that blends two scaling approaches:...
Introducing Sora 2
Sora 2 arrives as OpenAI’s flagship system for generating video and audio together—plus a new “Cameo” feature that lets people insert a real person...
Coding with GPT-5
GPT-5 is being positioned as a step-change in coding because it combines high “intelligence” with interactive speed—enabling multi-step software work...
OpenAI Codex CLI
OpenAI’s Codex CLI is positioned as a lightweight “coding agent” that runs straight in the command line, where it can read and edit local files,...
OpenAI o3 & o4-mini
OpenAI is rolling out two new reasoning models—o3 and o4-mini—positioned as a qualitative jump because they behave like tool-using AI systems rather...
New Products: A Deep Dive
OpenAI rolled out a hands-on look at two building blocks for an “agents-like” future: GPTs inside ChatGPT and the new Assistants API for embedding...
Pre-Training GPT-4.5
GPT-4.5’s biggest takeaway isn’t a new parameter count—it’s that scaling pre-training still behaves predictably enough to keep delivering smarter,...
Learning Dexterity
Teaching robots to handle everyday objects without hand-coding every movement is getting a practical boost from a training approach built around...
Projects—12 Days of OpenAI: Day 7
Projects is rolling out inside ChatGPT as a new way to organize conversations around a shared goal—complete with file uploads, custom instructions,...
Building OpenAI o1 (Extended Cut)
OpenAI’s latest preview models, o1 and o1 mini, put “reasoning” at the center: they spend more time thinking before answering, aiming to turn extra...
GPT 4.1 in the API
OpenAI is rolling out GPT 4.1 as a new developer-focused model family in the API—three sizes built for different latency and cost needs—while adding...
Reinforcement Fine-Tuning—12 Days of OpenAI: Day 2
OpenAI is previewing reinforcement fine-tuning for its o1 model family—an approach that lets developers and researchers adapt models to specialized...
Introducing gpt-realtime in the API
OpenAI is rolling out a new GPT-realtime speech model and an upgraded real-time API in general availability, aiming to make voice interactions with...
Builders Unscripted: Ep. 1 - Peter Steinberger, Creator of OpenClaw
Open-source builder Peter Steinberger credits a new wave of AI coding tools—especially Codex—for turning “unfinished ideas” into working software at...
Search—12 Days of OpenAI: Day 8
ChatGPT Search is rolling out to all logged-in free users worldwide, bringing real-time web access to the service on every platform where people use...
A Survey of Techniques for Maximizing LLM Performance
Maximizing LLM performance in production depends less on finding a single “best” technique and more on diagnosing what’s actually failing—context,...
Getting started with Codex
Codex is OpenAI’s coding agent that developers can delegate routine, time-consuming work to—freeing them to focus on design, architecture, and other...
Audio Models in the API
OpenAI is rolling out new audio-focused models and API tools aimed at making voice agents as reliable and developer-friendly as today’s text agents....
OpenAI DevDay 2024 | Multimodal apps with the Realtime API
OpenAI’s Realtime API is built to deliver natural, low-latency “speech-in, speech-out” experiences through a single interface—removing the multi-step...
OpenAI Town Hall with Sam Altman
AI-driven software creation is likely to expand the software economy rather than shrink it, but the job description for engineers will change...
Inside ChatGPT, AI assistants, and building at OpenAI — the OpenAI Podcast Ep. 2
ChatGPT’s explosive early growth wasn’t treated as a guaranteed success—it arrived with outages, infrastructure bottlenecks, and a last-minute launch...
Aligning AI systems with human intent
AI’s rapid progress—writing poetry, composing music, and solving hard scientific problems—has created a new risk: more capable systems don’t...
OpenAI DevDay 2024 | Structured outputs for reliable applications
Structured outputs are OpenAI’s push to make LLM results dependable for real applications by forcing model outputs to match developer-supplied JSON...
OpenAI DevDay 2024 | Virtual AMA with Sam Altman, moderated by Harry Stebbings, 20VC
Sam Altman used a wide-ranging virtual AMA to argue that OpenAI’s next leap depends less on incremental model tweaks and more on “reasoning” systems...
AGI progress, surprising breakthroughs, and the road ahead — the OpenAI Podcast Ep. 5
AGI progress is increasingly measured less by whether models hit narrow benchmarks and more by whether they can reliably produce real-world...
Automate tasks with the Codex app
Codex automations are being used to turn recurring engineering chores—daily status reporting, skill tuning, agent personalization, bug triage, and PR...
The New Stack and Ops for AI
Moving an AI application from prototype to production hinges on one hard reality: large language models behave probabilistically, so “it works in a...
Accelerating science with Prism
AI’s growing ability to solve real scientific problems is now being paired with a practical shift in how researchers work: instead of bouncing...
OpenAI Spinning Up in Deep RL Workshop
Reinforcement learning (RL) is moving from “learn a policy in a toy setting” to “learn control strategies that operate in complex, real-time...
Automatic code reviews with OpenAI Codex
OpenAI Codex is rolling out automatic code review that can run in both GitHub workflows and the local terminal, aiming to catch real bugs without...
The Future of Math with o1 Reasoning with Terence Tao, Mark Chen, and James Donovan
The central takeaway is that progress in “reasoning math” is less about making large language models magically correct and more about rebuilding the...
Codex and the future of coding with AI — the OpenAI Podcast Ep. 6
AI coding is shifting from “smart autocomplete” to an agentic workflow where models are tightly coupled to tools, run code, and collaborate over...
A Conversation with Sam and Jony
A collaboration between Apple design leadership and OpenAI research is framed as a bet that AI’s arrival clarifies a long-running creative mission:...
Brad Lightcap and Ronnie Chatterji on jobs, growth, and the AI economy — the OpenAI Podcast Ep. 3
AI’s biggest near-term labor story isn’t mass job elimination—it’s a shift in who can do valuable work, faster and at lower cost, and how that...
Research x Product
OpenAI’s research and product teams operate as a tight feedback loop: post-training research builds model capabilities and behavior, while product...
Leah Belsky on how AI is transforming education — the OpenAI Podcast Ep. 4
AI is reshaping education less by replacing learning and more by changing how students get help—turning ChatGPT into a tutor-like experience that can...
Build Hour: Apps in ChatGPT
ChatGPT apps are moving from “chat-only” to full, interactive experiences by combining three pieces: an apps SDK that injects UI into ChatGPT, an MCP...
State of the AI industry — the OpenAI Podcast Ep. 12
AI’s next phase hinges less on whether models get smarter and more on whether people and companies learn to use that capability to complete real...
The Business of AI
AI product success hinges less on model capability and more on “final-mile” execution: aligning workflows, pricing, UX friction, and safety so...
Shipping with Codex
Codex has shifted from a “write code” assistant into a full agentic software engineer that can plan, act across tools, and verify its own...
Build Hour: AgentKit
Agent Kit is positioned as a faster, safer way to build multi-step AI agents—shifting agent development from hand-coded orchestration and fragile...
Build Hour: Codex
Codex is being reshaped into a single “agent everywhere you code” experience—spanning VS Code-style IDEs, the terminal, GitHub code review, and cloud...
Build Hour: GPT-5
GPT-5 is positioned as OpenAI’s “smartest, most steerable” coding model yet—built to produce higher-quality code, handle long-running agentic...
Context Engineering & Coding Agents with Cursor
Cursor’s approach to AI coding hinges on a shift from “autocomplete” to autonomous coding agents—powered less by clever prompting and more by...
Build Hour: Agent RFT
Agent RFT (agent reinforcement fine-tuning) is positioned as a way to make tool-using agents faster and more accurate by training the model...
How AI is accelerating scientific discovery today and what's ahead — the OpenAI Podcast Ep. 10
AI is poised to accelerate scientific discovery by turning frontier-capable models into day-to-day collaborators for researchers—speeding up...
AI Frontiers: Jesper Hvirring Henriksen (OpenAI DevDay)
Be My Eyes has launched “Be My AI” on GPT-4V, giving blind and low-vision users an always-available visual assistant that can describe images in real...
Sam Altman on Building the Future of AI
AI progress is accelerating fast enough that society needs to debate and prepare for “extremely capable models” now—not later—because the public and...
Build Hour: Prompt Caching
Prompt caching is positioned as a straightforward way to cut both latency and cost in OpenAI-powered applications by reusing computation whenever new...
Build Hour: Responses API
Responses API is OpenAI’s new “core primitive” for building agentic, multimodal applications—designed to fix pain points from chat completions by...
Shaping model behavior in GPT-5.1— the OpenAI Podcast Ep. 11
GPT-5.1 brings a major shift in how OpenAI’s chat models behave: every model available in ChatGPT is now a reasoning model by default. Instead of...
Build Hour: Agent Memory Patterns
Agent memory patterns boil down to one practical problem: long-running AI agents have finite context windows, so every extra instruction, chat turn,...
ChatGPT Atlas and the next era of web browsing — the OpenAI Podcast Ep. 9
ChatGPT Atlas reframes web browsing as an agentic workspace: users describe goals in natural language, and the browser—built around ChatGPT rather...
OpenAI to Z Challenge
A team of finalists used deep learning plus satellite imagery to automatically flag likely archaeological sites across the Amazon rainforest, then...
OpenAI Scholars Demo Day 2019
OpenAI Scholars Demo Day 2019 showcased how machine learning research ideas—from reinforcement learning and language modeling to model compression...
Episode 13 - The Thinking Behind Ads in ChatGPT
Ads in ChatGPT are set to arrive with a strict trust-first design: free-tier users will see ads, while Pro, Plus, and Enterprise users will not. The...
OpenAI DevDay 2024 | Balancing accuracy, latency, and cost at scale
Scaling an LLM-powered app from thousands to millions of users forces hard tradeoffs between accuracy, latency, and cost—and the most reliable path...
Build Hour: Agentic Tool Calling
Agentic tool calling is being positioned as the bridge between “reasoning” and “doing,” enabling goal-driven models that can plan across long...
Universal Adversarial Perturbations and Language M… | Pamela Mishkin | OpenAI Scholars Demo Day 2020
Universal adversarial triggers can still cripple modern NLP systems: a short, fixed phrase appended to many inputs can drive sentiment classifiers...
Building AI for better healthcare — the OpenAI Podcast Ep. 14
OpenAI’s health push centers on a practical goal: make AI useful in everyday care while treating safety, privacy, and clinical evaluation as core...
AI Frontiers: Annie Hill (OpenAI DevDay)
Boston Children’s Hospital is positioning generative AI as a practical tool to reduce healthcare burden, improve learning, and strengthen patient...
Build Hour: Voice Agents
Voice agents are moving past “transcribe-and-reply” toward audio-native systems that can sound more like real representatives, handle ambiguity, and...
Build Hour: Reinforcement Fine-Tuning
Reinforcement fine-tuning (RFT) is positioned as the most direct way to improve an LLM’s reasoning behavior when the model already has the needed...
OpenAI on OpenAI: Applying AI to Our Own Workflows
OpenAI’s internal push for “agent-driven workflows” is being framed less as a quest for efficiency and more as a way to amplify company...
OpenAI DevDay 2024 | Community Spotlight | Swyx
AI agents are best built by treating them as a stack—LLMs plus memory plus planning plus tools—then mapping those capabilities to concrete...
Evals in Action: From Frontier Research to Production Applications
OpenAI’s evaluation push centers on a simple problem: classic AI benchmarks can show progress on test-like tasks while failing to predict whether...
Investigating Model Based RL for Continuous Control | Alex Botev | 2018 Summer Intern Open House
Model-based reinforcement learning for continuous control can look nearly perfect at one-step prediction, yet still fail badly when its learned...
Episode 15 - Inside the Model Spec
OpenAI’s “model spec” is a public, human-readable set of rules meant to steer how AI models should behave—especially when instructions collide. It...
Build Hour: Image Gen
OpenAI’s Image Gen is built on the same GPT-4o architecture used for text, and it’s now available to developers through the Responses API as a...
OpenAI DevDay 2024 | OpenAI Research
OpenAI’s o1 family is positioned as a reasoning-first shift: the models are trained to “think with reinforcement learning,” iteratively refine...
Characterizing Test Time Compute on Graph Structur… | Kudzo Ahegbebu | OpenAI Scholars Demo Day 2021
Test-time compute—giving a model more computation at inference—can improve performance on graph-structured reasoning, but simply adding recurrence...
Build Hour: Built-In Tools
Built-in tools let large language models search the web, query private files, and call external services—without developers writing the usual glue...
Looking For Grammar In All The Right Places | Alethea Power | OpenAI Scholars Demo Day 2020
Alethea Power’s project targets a practical, high-stakes question: where inside GPT-2 does grammar information live, and how can that location be...
Using Semantic Trees In Place of Sentences | Munashe Shumba | OpenAI Scholars Demo Day 2018
Semantic trees—specifically dependency parse trees—can outperform plain sentence sequences for natural-language tasks like semantic relatedness when...
Feedback Loops in Opinion Modeling | Danielle Ensign | OpenAI Scholars Demo Day 2021
Feedback loops in opinion modeling can drive language models toward “collapse” or runaway randomness when their generated outputs get fed back into...
Generative Modelling | Sadhika Malladi | 2018 Summer Intern Open House
Generative modeling is positioned as a practical way to learn the underlying structure of data—so a model trained on one set of examples (like dogs)...
Towards Epileptic Seizure Prediction with Deep Network | Kata Slama | OpenAI Scholars Demo Day 2020
Epileptic seizure prediction is moving from a theoretical possibility toward a measurable machine-learning task: a deep network trained on...
A pathway to more efficient generative models | Will Grathwohl | 2018 Summer Intern Open House
Invertible generative models can become more expressive and potentially more efficient by switching from discrete “flow steps” to a continuous-time...
Long term credit assignment with temporal reward transp… | Cathy Yeh | OpenAI Scholars Demo Day 2020
Long-delayed rewards can make standard reinforcement learning painfully slow because discounting shrinks the learning signal for actions that only...
Social learning in independent multi-agent reinfor… | Kamal N’dousse | OpenAI Scholars Demo Day 2020
Social learning is central to human intelligence, but it’s unclear when independent reinforcement-learning agents can benefit from one another’s...
AMA: Scaling AI Applications into the Enterprise
Enterprise AI adoption hinges on two things: proving measurable ROI fast enough to win internal buy-in, and building systems with guardrails that can...
OpenAI DevDay 2024 | Community Spotlight | Sierra
Sierra’s TAU-bench reframes how AI agents are evaluated by combining realistic user conversations with tool-using task execution—and, crucially, by...