正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

2/ And with our Rubber Duck agent you get a multi-model reflection loop as a reviewer. GPT-5.5 can review the output of another model or vice versa!

Satya Nadella

6,617,913 subscribers

41,239 次观看 • 4 个月前 •via X (Twitter)

新闻政治科学技术

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

The @GitHub Research folks released a "Rubber Duck" agent for the Copilot CLI. Automatically get a review from a model from a different AI family. And their data shows that yes, this does in fact help. Quite a bit.

The @GitHub Research folks released a "Rubber Duck" agent for the Copilot CLI. Automatically get a review from a model from a different AI family. And their data shows that yes, this does in fact help. Quite a bit.

Burke Holland

243,792 次观看 • 4 个月前

The best open source agent, now better with multi-model Chat. The latest release of II-Agent lets you use any model or subscription to build anything you can imagine. Use multiple models (Gemini 3 etc etc) on chat or build anything you can imagine with the agent.

The best open source agent, now better with multi-model Chat. The latest release of II-Agent lets you use any model or subscription to build anything you can imagine. Use multiple models (Gemini 3 etc etc) on chat or build anything you can imagine with the agent.

Intelligent Internet

125,774 次观看 • 9 个月前

Running a real-time experiment on Julius: Which model can find mag 7 financial data and create a dashboard from it faster and more effectively - Claude Fable 5 or GPT-5.5? Which do you think is Model A and which is Model B?

Running a real-time experiment on Julius: Which model can find mag 7 financial data and create a dashboard from it faster and more effectively - Claude Fable 5 or GPT-5.5? Which do you think is Model A and which is Model B?

Julius AI

159,113 次观看 • 2 个月前

Our universe is a model with twenty or so carefully fine-tuned parameters that generate all the content inside. Using these parameters and a reduced-scale model you can simulate the history of the cosmos. With the full-scale model, you get to be part of the simulation.

Our universe is a model with twenty or so carefully fine-tuned parameters that generate all the content inside. Using these parameters and a reduced-scale model you can simulate the history of the cosmos. With the full-scale model, you get to be part of the simulation.

Andrew Côté

90,707 次观看 • 2 年前

Databricks is excited to partner with OpenAI on GPT-5.5, their latest frontier model. GPT-5.5 will be available in Unity AI Gateway on launch. You can use it with coding tools such as Codex, or to power your enterprise agents. GPT-5.5 is state-of-the-art on many benchmarks including OfficeQA Pro, our benchmark for evaluating grounded reasoning on enterprise tasks. We are partnering with OpenAI to co-launch on Databricks. Hear more from our co-founder Patrick Wendell and OpenAI CRO Denise Holland Dresser on GPT-5.5 in Databricks.

Databricks is excited to partner with OpenAI on GPT-5.5, their latest frontier model. GPT-5.5 will be available in Unity AI Gateway on launch. You can use it with coding tools such as Codex, or to power your enterprise agents. GPT-5.5 is state-of-the-art on many benchmarks including OfficeQA Pro, our benchmark for evaluating grounded reasoning on enterprise tasks. We are partnering with OpenAI to co-launch on Databricks. Hear more from our co-founder Patrick Wendell and OpenAI CRO Denise Holland Dresser on GPT-5.5 in Databricks.

Databricks

12,707 次观看 • 4 个月前

OpenAI shipped a new speech-to-speech model today: gpt-realtime-2 This is the first speech-to-speech model good enough to use in my voice agents that do "real work." Or real play, for that matter. Here's gpt-realtime-2 as the brain of the ship AI in Gradient Bang. The voice-to-voice response and tool calling times here are unedited, so you can see exactly what the interaction with the model is like in an agent with a very complex system instruction and frequent tool calls. (I did clip out the subagent task execution segments, after gpt-realtime-2 starts a subagent via a tool call. Subagents in this config used gpt-5.2 "medium" effort.)

OpenAI shipped a new speech-to-speech model today: gpt-realtime-2 This is the first speech-to-speech model good enough to use in my voice agents that do "real work." Or real play, for that matter. Here's gpt-realtime-2 as the brain of the ship AI in Gradient Bang. The voice-to-voice response and tool calling times here are unedited, so you can see exactly what the interaction with the model is like in an agent with a very complex system instruction and frequent tool calls. (I did clip out the subagent task execution segments, after gpt-realtime-2 starts a subagent via a tool call. Subagents in this config used gpt-5.2 "medium" effort.)

kwindla

55,222 次观看 • 3 个月前

Andrew Ng: "if I had to pick one technology today - it's graphs of self-improving agents I have 4 patterns that necessary" here are 4 rules: rule 1 → reflection make the agent critique its own output, find problems, rewrite - one loop of self-review beats a smarter model with no review rule 2 → tool use - don't just think, act - give the agent search, code execution, APIs - thinking without tools is guessing rule 3 → planning - break complex tasks into steps before executing - agents that plan first solve what agents that rush can't rule 4 → multi-agent collaboration - don't run one agent run a team: one writes code, another critiques it, another tests many people overlook these crucial rules behind every smart agent save this - then read how to wire these 4 rules into one graph ↓

Andrew Ng: "if I had to pick one technology today - it's graphs of self-improving agents I have 4 patterns that necessary" here are 4 rules: rule 1 → reflection make the agent critique its own output, find problems, rewrite - one loop of self-review beats a smarter model with no review rule 2 → tool use - don't just think, act - give the agent search, code execution, APIs - thinking without tools is guessing rule 3 → planning - break complex tasks into steps before executing - agents that plan first solve what agents that rush can't rule 4 → multi-agent collaboration - don't run one agent run a team: one writes code, another critiques it, another tests many people overlook these crucial rules behind every smart agent save this - then read how to wire these 4 rules into one graph ↓

codila

97,472 次观看 • 1 个月前

GPT-5.6 is rolling out in the API. Sol is our flagship model, leading in coding, knowledge work, cybersecurity, and science. Terra delivers performance competitive with GPT-5.5 at lower cost. Luna is our fastest, most affordable model for high-volume tasks.

GPT-5.6 is rolling out in the API. Sol is our flagship model, leading in coding, knowledge work, cybersecurity, and science. Terra delivers performance competitive with GPT-5.5 at lower cost. Luna is our fastest, most affordable model for high-volume tasks.

OpenAI Developers

233,447 次观看 • 1 个月前

🔮 Using our agent framework, users can easily create agents with native access to our suite of proprietary tools including: 🔁 Self Reflection 🧠 Memory 👍 Human-in-the-loop 📁 File Sharing & Creation 🔂 Recurring Tasks 🔌 Integrations 🫂 Multi-agent Collaboration And more!

🔮 Using our agent framework, users can easily create agents with native access to our suite of proprietary tools including: 🔁 Self Reflection 🧠 Memory 👍 Human-in-the-loop 📁 File Sharing & Creation 🔂 Recurring Tasks 🔌 Integrations 🫂 Multi-agent Collaboration And more!

OpenServ

78,016 次观看 • 1 年前

With new generally available features in GitHub Copilot CLI, you can now ➡️ Speak to Copilot using on-device speech-to-text models ➡️ Use built-in Rubber Duck agent to help find blind spots with a second model

With new generally available features in GitHub Copilot CLI, you can now ➡️ Speak to Copilot using on-device speech-to-text models ➡️ Use built-in Rubber Duck agent to help find blind spots with a second model

GitHub

70,879 次观看 • 2 个月前

GPT-5 just dropped in Azure AI Foundry. Devs can tap into the full suite of GPT-5 models with a single endpoint using Foundry’s AI-powered model router. Intelligent model selection, so you can build with ease. Start Building:

GPT-5 just dropped in Azure AI Foundry. Devs can tap into the full suite of GPT-5 models with a single endpoint using Foundry’s AI-powered model router. Intelligent model selection, so you can build with ease. Start Building:

Microsoft Azure

82,084 次观看 • 1 年前

PaLM-E or GPT-4 can speak in many languages and understand images. What if they could speak robot actions? Introducing RT-2: our new model that uses a VLM (up to 55B params) backbone and fine-tunes it to directly output robot actions!

PaLM-E or GPT-4 can speak in many languages and understand images. What if they could speak robot actions? Introducing RT-2: our new model that uses a VLM (up to 55B params) backbone and fine-tunes it to directly output robot actions!

Karol Hausman

182,876 次观看 • 3 年前

As 'America's Next Top Model' headed into Cycle 2, Tyra Banks said the show was a reflection of "what is real in the fashion industry" and shared the two biggest things a model needed to know how to deal with.

As 'America's Next Top Model' headed into Cycle 2, Tyra Banks said the show was a reflection of "what is real in the fashion industry" and shared the two biggest things a model needed to know how to deal with.

Entertainment Tonight

58,440 次观看 • 6 个月前

introducing model inversion greptile detects if your PR was generated using GPT or Claude models, and uses the other model for review. rohan and rodrigo from our research team share why we do this:

introducing model inversion greptile detects if your PR was generated using GPT or Claude models, and uses the other model for review. rohan and rodrigo from our research team share why we do this:

Daksh Gupta

266,778 次观看 • 1 个月前

Our third announcement is GWM Worlds. A world model for real-time environment simulation. You give the model a static scene, and it generates an immersive, infinite, explorable space as you move through it, with geometry, lighting and physics. All in real-time. You can travel to any place, real or imagined. You can become any agent, a person walking through a city, a drone flying over a snowy mountain or a robot navigating a warehouse.

Our third announcement is GWM Worlds. A world model for real-time environment simulation. You give the model a static scene, and it generates an immersive, infinite, explorable space as you move through it, with geometry, lighting and physics. All in real-time. You can travel to any place, real or imagined. You can become any agent, a person walking through a city, a drone flying over a snowy mountain or a robot navigating a warehouse.

Runway

80,580 次观看 • 8 个月前

Introducing Agora-1, a multi-agent world model. Multiple participants—human or AI—can now interact inside the same world simulation, all in real-time. Try our playable research preview today, with Agora-1 simulating a multiplayer GoldenEye deathmatch!

Introducing Agora-1, a multi-agent world model. Multiple participants—human or AI—can now interact inside the same world simulation, all in real-time. Try our playable research preview today, with Agora-1 simulating a multiplayer GoldenEye deathmatch!

Odyssey

915,449 次观看 • 3 个月前

Now everyone can make 60-minute films from ONE prompt 🤯 Higgsfield Supercomputer looks insane. A cloud-native AI agent that unifies every model, tool, and creative workflow into one system. > Type one prompt - specify your length and type (cartoon or cinematic) > Supercomputer picks the workflow > It deploys a swarm of agents > Every sub-task routes across the right frontier LLM (Opus 4.7, GPT-5.5 Pro, Gemini 3.1 Pro) and the right video model (Seedance, Veo, Kling) > A finished cartoon or movie lands A full film studio running inside one agent. Wild.

Now everyone can make 60-minute films from ONE prompt 🤯 Higgsfield Supercomputer looks insane. A cloud-native AI agent that unifies every model, tool, and creative workflow into one system. > Type one prompt - specify your length and type (cartoon or cinematic) > Supercomputer picks the workflow > It deploys a swarm of agents > Every sub-task routes across the right frontier LLM (Opus 4.7, GPT-5.5 Pro, Gemini 3.1 Pro) and the right video model (Seedance, Veo, Kling) > A finished cartoon or movie lands A full film studio running inside one agent. Wild.

Alvaro Cintas

202,881 次观看 • 3 个月前

Emergency Big Technology Podcast 🚨 OpenAI President Greg Brockman on GPT 5.5 — a.k.a "Spud" — and what it means for the company's direction, competitiveness, and the notion of a "compute-powered economy." Lots here! Chapters: 00:00 Intro: GPT-5.5 “Spud” 00:57 What GPT-5.5 Can Do 02:56 OpenAI’s Agent Roadmap 05:49 Training and Real-World Tasks 09:55 Model Moats and Distillation 15:55 Cybersecurity Risks 21:01 Trusting Agents 23:36 The Compute-Powered Economy

Emergency Big Technology Podcast 🚨 OpenAI President Greg Brockman on GPT 5.5 — a.k.a "Spud" — and what it means for the company's direction, competitiveness, and the notion of a "compute-powered economy." Lots here! Chapters: 00:00 Intro: GPT-5.5 “Spud” 00:57 What GPT-5.5 Can Do 02:56 OpenAI’s Agent Roadmap 05:49 Training and Real-World Tasks 09:55 Model Moats and Distillation 15:55 Cybersecurity Risks 21:01 Trusting Agents 23:36 The Compute-Powered Economy

Alex Kantrowitz

17,078 次观看 • 4 个月前

Generalist CEO Pete Florence says robotics models are in a transition period similar to the step change between GPT-2 and GPT-3. They're "starting to cross over into levels of performance where these things are commercially viable for a number of different applications." "We think this is a crossover point where we have a general model starting to be able to hit levels of reliability, speed, and improvisational intelligence where we can start to get these things out there." "Very much like — you take a GPT-2-level model, you scale it to a GPT-3-level model, and certain types of commercial applications start to become viable."

Generalist CEO Pete Florence says robotics models are in a transition period similar to the step change between GPT-2 and GPT-3. They're "starting to cross over into levels of performance where these things are commercially viable for a number of different applications." "We think this is a crossover point where we have a general model starting to be able to hit levels of reliability, speed, and improvisational intelligence where we can start to get these things out there." "Very much like — you take a GPT-2-level model, you scale it to a GPT-3-level model, and certain types of commercial applications start to become viable."

TBPN

23,356 次观看 • 2 个月前