Загрузка видео...

Не удалось загрузить видео

На главную

Context-aware, action-ready. ChatGPT agent understands the task, chooses the right tool, and gets to work. It uses connectors, context, and custom instructions to take smarter actions on your behalf.

OpenAI's profile picture

OpenAI

4,912,799 subscribers

143,127 просмотров • 10 месяцев назад •via X (Twitter)

Здоровье и велнесНаука и технологииОбразование
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

🚀 Introducing Genspark Hub—a dedicated space where you keep all relevant files in one place. Every task in the hub shares the same context—Genspark automatically references your files, past work, and custom instructions. No more scattered documents, no more repeating context — just projects that get smarter over time. Ready to get more organized and efficient? Try Genspark Hub:
2:30

🚀 Introducing Genspark Hub—a dedicated space where you keep all relevant files in one place. Every task in the hub shares the same context—Genspark automatically references your files, past work, and custom instructions. No more scattered documents, no more repeating context — just projects that get smarter over time. Ready to get more organized and efficient? Try Genspark Hub:

Genspark

13,629 просмотров • 7 месяцев назад

Last, but not least, don't sleep on this one: Le Chat now has Work mode (Preview) — a powerful agent for complex long-horizon tasks like research, analysis, and actions across your connected tools. Connectors are on by default so the agent pulls context from docs, email, and calendars as it works, and sessions persist across many turns until the task is complete.
1:03

Last, but not least, don't sleep on this one: Le Chat now has Work mode (Preview) — a powerful agent for complex long-horizon tasks like research, analysis, and actions across your connected tools. Connectors are on by default so the agent pulls context from docs, email, and calendars as it works, and sessions persist across many turns until the task is complete.

Mistral Vibe

32,521 просмотров • 1 месяц назад

Introducing Inspector's context-aware screenshot tool! Screenshots as context for your coding agent is a pain. I decided I was tired of it and shipped something today to help with that.
1:33

Introducing Inspector's context-aware screenshot tool! Screenshots as context for your coding agent is a pain. I decided I was tired of it and shipped something today to help with that.

mikeBuildsMore

21,932 просмотров • 7 месяцев назад

Stop burning tokens on documentation. Agent Skills uses progressive disclosure to give your agent the right answer right away, pulling in specialized context only when it's actually needed. See them in action →
1:22

Stop burning tokens on documentation. Agent Skills uses progressive disclosure to give your agent the right answer right away, pulling in specialized context only when it's actually needed. See them in action →

Google Cloud Tech

11,160 просмотров • 2 месяцев назад

Introducing Libra AI, the SOTA super agent that amplifies your work, enabling you to bring your best everyday. Your work life will never be the same starting today. > Libra understands all your data and context like a human teammate > Takes actions on your behalf > Replaces the patchwork of vertical AI tools with one that actually does the work Experience it today, now in early access Libra AI⚡️
1:33

Introducing Libra AI, the SOTA super agent that amplifies your work, enabling you to bring your best everyday. Your work life will never be the same starting today. > Libra understands all your data and context like a human teammate > Takes actions on your behalf > Replaces the patchwork of vertical AI tools with one that actually does the work Experience it today, now in early access Libra AI⚡️

Gokul Cholaghar

1,901,642 просмотров • 24 дней назад

Custom instructions provide more context about your specific coding preferences and tech stack. Better context = better results from the LLM. And custom instructions are extra helpful for remote development, where you can provide more info about the type of remote environment you're connected to.
1:15

Custom instructions provide more context about your specific coding preferences and tech stack. Better context = better results from the LLM. And custom instructions are extra helpful for remote development, where you can provide more info about the type of remote environment you're connected to.

Visual Studio Code

44,868 просмотров • 1 год назад

A project keeps your chats, files, and custom instructions together in one place, making it easy to return to ongoing work.
1:22

A project keeps your chats, files, and custom instructions together in one place, making it easy to return to ongoing work.

OpenAI

23,859 просмотров • 1 год назад

We're making links more prominent when ChatGPT browses the internet. This gives more context to its responses and makes it easier for users to discover content from publishers and creators. Browse is available in ChatGPT Plus, Team and Enterprise.
0:30

We're making links more prominent when ChatGPT browses the internet. This gives more context to its responses and makes it easier for users to discover content from publishers and creators. Browse is available in ChatGPT Plus, Team and Enterprise.

OpenAI

733,284 просмотров • 2 лет назад

Introducing the context course: a free course on doing ML with agent context. You will learn how to train models, optimize inferences, and build datasets, all by defining harness context with`SKILLS.md`, Plugins, MCP, Subagents, and Hooks. The course includes: - Weekly live AMA on YouTube - Weekly practical projects for ML with context - Instructions in Pi, Codex, Claude, and Opencode - Tutorials and guides on fundamentals - Interactive Quizzes Learn to give AI agents the right knowledge, tools, and structure to actually get work done. Skills, MCP servers, plugins, multi-agent workflows, and building an agent from scratch. Join here:
0:30

Introducing the context course: a free course on doing ML with agent context. You will learn how to train models, optimize inferences, and build datasets, all by defining harness context with`SKILLS.md`, Plugins, MCP, Subagents, and Hooks. The course includes: - Weekly live AMA on YouTube - Weekly practical projects for ML with context - Instructions in Pi, Codex, Claude, and Opencode - Tutorials and guides on fundamentals - Interactive Quizzes Learn to give AI agents the right knowledge, tools, and structure to actually get work done. Skills, MCP servers, plugins, multi-agent workflows, and building an agent from scratch. Join here:

Ben Burtenshaw

15,810 просмотров • 1 месяц назад

ChatGPT Atlas can remember what you’ve searched, visited, and asked about — giving ChatGPT better context for more accurate answers. You can also ask it to open, close, or revisit any of your tabs anytime.
0:20

ChatGPT Atlas can remember what you’ve searched, visited, and asked about — giving ChatGPT better context for more accurate answers. You can also ask it to open, close, or revisit any of your tabs anytime.

OpenAI

390,891 просмотров • 7 месяцев назад

🚨The world just started talking about AI Screen Context. We've been building something deeper — AirJelly can see your screen and remembers not just what you did, but who you are. No intent missed. No task overdue. 🪼Introducing AirJelly today, the world's first context-aware proactive agent, that lives on your desktop, grows with your context, and proactively get works done.
3:28

🚨The world just started talking about AI Screen Context. We've been building something deeper — AirJelly can see your screen and remembers not just what you did, but who you are. No intent missed. No task overdue. 🪼Introducing AirJelly today, the world's first context-aware proactive agent, that lives on your desktop, grows with your context, and proactively get works done.

AirJelly

1,209,242 просмотров • 1 месяц назад

Let’s show you what ChatGPT agent can do 🧵 Need Monday metrics? ChatGPT agent can fetch the data, generate the spreadsheet, and schedule it to run again—automatically.
1:53

Let’s show you what ChatGPT agent can do 🧵 Need Monday metrics? ChatGPT agent can fetch the data, generate the spreadsheet, and schedule it to run again—automatically.

OpenAI

520,697 просмотров • 10 месяцев назад

🔥 INTRODUCING: ACE >>> The Agentic Context Engineer ACE is an AI Agent that improves context for any AI Agent. Context gets better every time you use ACE. No fine-tuning. No manual prompt editing. Just use ACE and your AI Agents get smarter. 🧵 👇
1:37

🔥 INTRODUCING: ACE >>> The Agentic Context Engineer ACE is an AI Agent that improves context for any AI Agent. Context gets better every time you use ACE. No fine-tuning. No manual prompt editing. Just use ACE and your AI Agents get smarter. 🧵 👇

Dan McAteer

21,187 просмотров • 3 месяцев назад

This is the most insane application of MCP I've used. Context is king! Your coding agents thrive on high-quality context. Qodo Aware is a production-ready deep research agent that solves this. This is huge! Watch how I use it in Codex to retrieve context from large codebases.
6:45

This is the most insane application of MCP I've used. Context is king! Your coding agents thrive on high-quality context. Qodo Aware is a production-ready deep research agent that solves this. This is huge! Watch how I use it in Codex to retrieve context from large codebases.

elvis

80,225 просмотров • 9 месяцев назад

Introducing Toggle for OpenClaw🦞 For the first time ever your Agent can see everything you do on the web. This is real-time context on your work day. Toggle AI analyses all browser actions, clicks, work, meetings and documents -> into AI context of what Projects / Tasks / Tools you are working on. Check it out👇
0:26

Introducing Toggle for OpenClaw🦞 For the first time ever your Agent can see everything you do on the web. This is real-time context on your work day. Toggle AI analyses all browser actions, clicks, work, meetings and documents -> into AI context of what Projects / Tasks / Tools you are working on. Check it out👇

PeLpA

52,232 просмотров • 3 месяцев назад

🧵 1/4 Code reviews slowing you down? 😩 They're very important but often painful: inconsistent, tedious, and disconnected from your team's standards. Meet Qodo Merge: The AI tool saving dev teams HOURS on code reviews. 🤖 It uses context-aware AI that actually understands your entire codebase. Here's how it transforms your PR process 👇
2:49

🧵 1/4 Code reviews slowing you down? 😩 They're very important but often painful: inconsistent, tedious, and disconnected from your team's standards. Meet Qodo Merge: The AI tool saving dev teams HOURS on code reviews. 🤖 It uses context-aware AI that actually understands your entire codebase. Here's how it transforms your PR process 👇

Rohit Ghumare

10,033 просмотров • 1 год назад

Subagents have arrived in Gemini CLI! 🤖🚀 Create your own custom subagents in Gemini CLI! Subagents are specialized, expert agents that the main agent can delegate work to. 📦- Subagents have their own set of tools, MCP servers, system instructions, and context window. 🏷️- Use Agent to explicitly delegate to a subagent 🧹- Keeps the main context window clean ⚡️- Speed up work by running agents in parallel Read more in the launch blog below 👇
0:33

Subagents have arrived in Gemini CLI! 🤖🚀 Create your own custom subagents in Gemini CLI! Subagents are specialized, expert agents that the main agent can delegate work to. 📦- Subagents have their own set of tools, MCP servers, system instructions, and context window. 🏷️- Use Agent to explicitly delegate to a subagent 🧹- Keeps the main context window clean ⚡️- Speed up work by running agents in parallel Read more in the launch blog below 👇

Jack Wotherspoon

221,193 просмотров • 1 месяц назад

Windows users, this one’s for you. Computer use now works on Windows, so Codex can take action on your Windows computer. And with Windows support for Codex in the ChatGPT mobile app, you can start, review, and steer tasks on the go while work continues on your Windows machine. An early experience, but we’re working on more ways to keep your work moving, wherever you are.
1:49

Windows users, this one’s for you. Computer use now works on Windows, so Codex can take action on your Windows computer. And with Windows support for Codex in the ChatGPT mobile app, you can start, review, and steer tasks on the go while work continues on your Windows machine. An early experience, but we’re working on more ways to keep your work moving, wherever you are.

OpenAI

1,372,186 просмотров • 9 дней назад

I cant believe this guy just made a permanent solution to context bloat and open sourced it all! when we tested this tool (Context+) for solving an issue on the OpenCode repository, the agent using this tool used ~6.5k fewer tokens, found the code and fixed it in half the time! the results were surprising: 6 to 10k tokens saved per prompt, completed task in ~2 minutes while the agent running without the tool took ~4 mins for the same and got stuck in loops bro built an entire beast by using all the modern tools that we could think of: undo trees, semantic search by meaning (by haskellforall), advanced refactoring, blast radius, advanced file context trees, restore points... i can keep going on semantic code search and context trees are the future of agentic coding and this tool proves it the feature i loved the most is semantic search and how it gets things done 2x faster with least possible tokens it makes an agent that actually knows what it’s doing and not just guessing, it makes meaning from your code similar to RAG. if you aren't optimizing your context, you are just burning money the developer says this tool is still under development, it can have unexpected behavior and the docs need updates but the video shows the reality of how fast it can be github: get here:
0:46

I cant believe this guy just made a permanent solution to context bloat and open sourced it all! when we tested this tool (Context+) for solving an issue on the OpenCode repository, the agent using this tool used ~6.5k fewer tokens, found the code and fixed it in half the time! the results were surprising: 6 to 10k tokens saved per prompt, completed task in ~2 minutes while the agent running without the tool took ~4 mins for the same and got stuck in loops bro built an entire beast by using all the modern tools that we could think of: undo trees, semantic search by meaning (by haskellforall), advanced refactoring, blast radius, advanced file context trees, restore points... i can keep going on semantic code search and context trees are the future of agentic coding and this tool proves it the feature i loved the most is semantic search and how it gets things done 2x faster with least possible tokens it makes an agent that actually knows what it’s doing and not just guessing, it makes meaning from your code similar to RAG. if you aren't optimizing your context, you are just burning money the developer says this tool is still under development, it can have unexpected behavior and the docs need updates but the video shows the reality of how fast it can be github: get here:

forloop

225,724 просмотров • 3 месяцев назад