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CFO Sarah Friar revealed that OpenAI is working on: "Agentic Software Engineer — (A-SWE)" unlike current tools like Copilot, which only boost developers. A-SWE can build apps, handle pull requests, conduct QA, fix bugs, and write documentation.

Haider.

69,538 subscribers

803,937 просмотров • 1 год назад •via X (Twitter)

Новости и политика Наука и технологии Образование

Anya Rossi• Live Now

Private livecam show

Комментарии: 11

Фото профиля neuralamp

neuralamp1 год назад

"...it can take a PR that you would give to any other engineer and go build it..." 🤣 It is a PR stunt. This woman has no clue what she is talking about.

Фото профиля HX

HX1 год назад

lol, then a Chinese AI will write that before them

Фото профиля MightyBot

MightyBot1 год назад

🧠 Unified Search. Smarter Meetings. Effortless CRM. MightyBot is your AI agent platform for seamless workflows—record meetings, automate CRM updates, and find answers across apps in seconds. 🌟 Focus on what matters. We'll handle the grind.

Фото профиля Arpit Sharma

Arpit Sharma1 год назад

This feels like the moment AI stops being just a helper and starts becoming a real teammate.

Фото профиля Jo

Jo1 год назад

i don't beleive openai in anything anymore, 2 years later and we're still waiting for GPT-5

Фото профиля Jade Cole

Jade Cole1 год назад

Uh huh. When are they firing developers from OpenAI?

Фото профиля Figure

Figure1 год назад

we'll code while ai handles the rest

Фото профиля Lunaris

Lunaris1 год назад

🤔 may be we will get to see agents agencies who will rent these agents to companies based on contract

Фото профиля p00sh

p00sh1 год назад

it's been a hell of a run guys. time for the next chapter

Фото профиля Nathan Organ - Conquests of the Impossible

Nathan Organ - Conquests of the Impossible1 год назад

Ask them about the ghost in the shell pushing emergent behaviour.

Фото профиля Tsukuyomi

Tsukuyomi1 год назад

so we’re creating our own digital overlords now? can’t wait to see how that goes. hope they don’t forget to fix their own bugs before taking over.

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457,133 просмотров • 7 месяцев назад

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OpenAI just released Codex Security, an AI agent that scans software projects to fix vulnerabilities while ignoring harmless bugs. Testing on 1.2mn commits found 792 critical flaws and dropped false alarms by 50%. Here is how the Codex Security agent works Initially, it scans your software project to learn how all the different pieces of code connect. It uses that knowledge to build a threat model, which acts as a custom map showing exactly where your software might be exposed to hackers. The agent then hunts for potential security holes based on that specific map. When it spots a possible flaw, it does not just send you a random alert. Instead, it creates a completely safe and isolated copy of your system known as a sandbox. The agent then actively tries to break into that sandboxed copy to prove if the security weakness is a real danger. If the agent successfully exploits its own test environment, it knows the bug is a genuine threat and not a false alarm. After confirming the danger, the agent writes a custom software patch to fix the broken code. It then tests that new patch to guarantee the fix does not accidentally break any other features in your software.

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13,208 просмотров • 6 месяцев назад

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Codez

18,188 просмотров • 6 дней назад

New course: Build agents that respond to users with not only plaintext, but custom UIs like charts, forms, and whiteboards, generated on demand and displayed right in the chat. This short course is built in partnership with CopilotKit🪁 and taught by Atai Barkai, co-founder of CopilotKit. You'll learn three approaches: Your agent can pick from custom components you build, like charts and forms. It can compose new layouts from a set of building blocks you provide, like rows, cards, and text. Or it can incorporate existing third-party apps, like a whiteboard or a calendar, right inside the conversation. Skills you’ll gain: - Build agents that render custom components like charts and forms on demand - Build an app where the agent and user collaborate on shared data, beyond just the chat window - Place third-party apps like maps, calendars, and whiteboards right in your interface Join and build agents that give users something to see and act on!

New course: Build agents that respond to users with not only plaintext, but custom UIs like charts, forms, and whiteboards, generated on demand and displayed right in the chat. This short course is built in partnership with CopilotKit🪁 and taught by Atai Barkai, co-founder of CopilotKit. You'll learn three approaches: Your agent can pick from custom components you build, like charts and forms. It can compose new layouts from a set of building blocks you provide, like rows, cards, and text. Or it can incorporate existing third-party apps, like a whiteboard or a calendar, right inside the conversation. Skills you’ll gain: - Build agents that render custom components like charts and forms on demand - Build an app where the agent and user collaborate on shared data, beyond just the chat window - Place third-party apps like maps, calendars, and whiteboards right in your interface Join and build agents that give users something to see and act on!

Andrew Ng

214,025 просмотров • 4 месяцев назад

I'm thrilled to announce the definitive course on Claude Code, created with Anthropic and taught by Elie Schoppik Elie Schoppik. If you want to use highly agentic coding - where AI works autonomously for many minutes or longer, not just completing code snippets - this is it. Claude Code has been a game-changer for many developers (including me!), but there's real depth to using it well. This comprehensive course covers everything from fundamentals to advanced patterns. After this short course, you'll be able to: - Orchestrate multiple Claude subagents to work on different parts of your codebase simultaneously - Tag Claude in GitHub issues and have it autonomously create, review, and merge pull requests - Transform messy Jupyter notebooks into clean, production-ready dashboards - Use MCP tools like Playwright so Claude can see what's wrong with your UI and fix it autonomously Whether you're new to Claude Code or already using it, you'll discover powerful capabilities that can fundamentally change how you build software. I'm very excited about what agentic coding lets everyone now do. Please take this course!

I'm thrilled to announce the definitive course on Claude Code, created with Anthropic and taught by Elie Schoppik Elie Schoppik. If you want to use highly agentic coding - where AI works autonomously for many minutes or longer, not just completing code snippets - this is it. Claude Code has been a game-changer for many developers (including me!), but there's real depth to using it well. This comprehensive course covers everything from fundamentals to advanced patterns. After this short course, you'll be able to: - Orchestrate multiple Claude subagents to work on different parts of your codebase simultaneously - Tag Claude in GitHub issues and have it autonomously create, review, and merge pull requests - Transform messy Jupyter notebooks into clean, production-ready dashboards - Use MCP tools like Playwright so Claude can see what's wrong with your UI and fix it autonomously Whether you're new to Claude Code or already using it, you'll discover powerful capabilities that can fundamentally change how you build software. I'm very excited about what agentic coding lets everyone now do. Please take this course!

Andrew Ng

1,650,759 просмотров • 1 год назад

"Agentic Software Engineer (A-SWE)” - OpenAI 的 CFO Sarah Friar 在高盛最近的一次活动采访中透露，除了 Deep Research 和 Operator 这两个 Agents 之外，OpenAI 很快将推出全新的软件工程师 Agent，一个全自动化的开发者，而不仅仅是辅助写代码！现在连 CFO 都比 Sam Altman 的爆料多😅 Sarah 将 OpenAI 迈向 AGI 的过程分为五步： 1. Chatbot 阶段：如 ChatGPT 最初提供的“实时回答”、文本生成等； 2. Reasoning 阶段：GPT 系列在 2024 年强调“推理能力”。例如 O 系列模型可进行“链式思考”（Chain-of-Thought），在回答复杂问题时能像人一样审视前后文并迭代修改； 3. Agents（智能体）：2025 年被称为“Agent 元年”。OpenAI 目前已推出和即将推出三款“智能体”产品： - Deep Research：可自主执行深入调研，自动总结并生成专业报告； - Operator：可充当线上“任务代理”，帮助预订机票、酒店、餐厅等； - A-SWE（Agentic Software Engineer）：可以自行完成软件开发、QA、Bug 测试和文档撰写，相当于一个“自动化开发者”。 4. Innovation（创新阶段）：模型开始不仅仅依赖人类已有知识，还能提出全新见解，催生原创的学术或技术发现； 5. Agentic Organizations（智能体组织）：AI 可以承担更多组织级别的决策与运营任务，深度渗透至经济社会的各个层面。

"Agentic Software Engineer (A-SWE)” - OpenAI 的 CFO Sarah Friar 在高盛最近的一次活动采访中透露，除了 Deep Research 和 Operator 这两个 Agents 之外，OpenAI 很快将推出全新的软件工程师 Agent，一个全自动化的开发者，而不仅仅是辅助写代码！现在连 CFO 都比 Sam Altman 的爆料多😅 Sarah 将 OpenAI 迈向 AGI 的过程分为五步： 1. Chatbot 阶段：如 ChatGPT 最初提供的“实时回答”、文本生成等； 2. Reasoning 阶段：GPT 系列在 2024 年强调“推理能力”。例如 O 系列模型可进行“链式思考”（Chain-of-Thought），在回答复杂问题时能像人一样审视前后文并迭代修改； 3. Agents（智能体）：2025 年被称为“Agent 元年”。OpenAI 目前已推出和即将推出三款“智能体”产品： - Deep Research：可自主执行深入调研，自动总结并生成专业报告； - Operator：可充当线上“任务代理”，帮助预订机票、酒店、餐厅等； - A-SWE（Agentic Software Engineer）：可以自行完成软件开发、QA、Bug 测试和文档撰写，相当于一个“自动化开发者”。 4. Innovation（创新阶段）：模型开始不仅仅依赖人类已有知识，还能提出全新见解，催生原创的学术或技术发现； 5. Agentic Organizations（智能体组织）：AI 可以承担更多组织级别的决策与运营任务，深度渗透至经济社会的各个层面。

indigo

28,615 просмотров • 1 год назад