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Today we're launching OpenUI Cloud We've spent months arguing AI deserves more than text. The uncomfortable truth is Generative UI in production needs much more than just rendering. The boring parts - validation, error correction, fallbacks, versioning, audit trails - eat up 80% of the time and become the... show more

Rabi Shanker Guha

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49,498 Aufrufe • vor 2 Monaten •via X (Twitter)

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Today, we're launching C1 by Thesys on Product Hunt and giving away up to 5M free tokens if you retweet this and sign up within 24 hours. C1 is the world’s first Generative UI API that augments LLMs to respond with interactive UI like charts, forms, cards, and more in real-time, instead of plain text. Integrates seamlessly with any LLM, framework or MCP in just 2 lines of code - Fully customisable to match your brand - Supports custom components - Renders instantly with no latency Ship rich, interactive AI apps 10× faster, with 80% less UI overhead.

Rabi Shanker Guha

71,837 Aufrufe • vor 11 Monaten

Anthropic's in trouble, again! They spent years building what's now fully open-source. What made Claude feel different from a normal app is that the agent could act inside the interface instead of only talking in a chat box. For instance, Claude Artifacts let an agent render real UI, charts, dashboards, and interactive components that assemble live inside the response. Every major AI product tried to replicate it. But the problem was that unlike reasoning, planning, tool-calling, etc., none of it shipped natively with LangGraph, CrewAI, or Google ADK. So teams started building an owned version that required engineering the entire interface layer from scratch. Most teams, however, just settled for shipping the agent as a backend API in a chat box since rendering the UI is only one piece of it. To actually make it work, the interface layer also needed real-time streaming, state kept in sync between agent and UI, conversations that persist across sessions, and reconnection when a user refreshes mid-run. CopilotKit🪁 is now the only open-source framework that actually lets you build your own full-stack Claude-like apps. It decouples the agent from the interface, talking over AG-UI (an open protocol for agent-to-user communication). Being a standard protocol, the frontend never needs to know whether it is talking to a LangGraph or a CrewAI agent. You can change the backend anytime and the UI will never notice. In practice, CopilotKit's interface layer gives several pre-implemented React building blocks that wire the agent directly into the app, like: - generative UI, so the agent renders real components instead of text - chat windows, sidebars, and popups, or a fully headless setup - shared state, so the agent and app stay in sync - human-in-the-loop approvals, where the agent waits before acting - persistent threads that store the whole session, including the agent-user interactions and generated UI, not just text And because that full history is captured, those interactions can feed a self-learning layer that also improves the agent from real usage over time. The interface layer that Anthropic spent years engineering in-house is now literally available to any developer/team. CopilotKit is open-source with 30k+ GitHub stars, and AG-UI, the protocol underneath, is already supported across every major agent framework: LangGraph, CrewAI, Mastra, Google ADK, and more. CopilotKit GitHub repo → (don't forget to star it ⭐ ) If you want to go deeper, I found a detailed breakdown by Shubham Saboo recently on the three Generative UI patterns, with implementation. Read it below.

Anthropic's in trouble, again! They spent years building what's now fully open-source. What made Claude feel different from a normal app is that the agent could act inside the interface instead of only talking in a chat box. For instance, Claude Artifacts let an agent render real UI, charts, dashboards, and interactive components that assemble live inside the response. Every major AI product tried to replicate it. But the problem was that unlike reasoning, planning, tool-calling, etc., none of it shipped natively with LangGraph, CrewAI, or Google ADK. So teams started building an owned version that required engineering the entire interface layer from scratch. Most teams, however, just settled for shipping the agent as a backend API in a chat box since rendering the UI is only one piece of it. To actually make it work, the interface layer also needed real-time streaming, state kept in sync between agent and UI, conversations that persist across sessions, and reconnection when a user refreshes mid-run. CopilotKit🪁 is now the only open-source framework that actually lets you build your own full-stack Claude-like apps. It decouples the agent from the interface, talking over AG-UI (an open protocol for agent-to-user communication). Being a standard protocol, the frontend never needs to know whether it is talking to a LangGraph or a CrewAI agent. You can change the backend anytime and the UI will never notice. In practice, CopilotKit's interface layer gives several pre-implemented React building blocks that wire the agent directly into the app, like: - generative UI, so the agent renders real components instead of text - chat windows, sidebars, and popups, or a fully headless setup - shared state, so the agent and app stay in sync - human-in-the-loop approvals, where the agent waits before acting - persistent threads that store the whole session, including the agent-user interactions and generated UI, not just text And because that full history is captured, those interactions can feed a self-learning layer that also improves the agent from real usage over time. The interface layer that Anthropic spent years engineering in-house is now literally available to any developer/team. CopilotKit is open-source with 30k+ GitHub stars, and AG-UI, the protocol underneath, is already supported across every major agent framework: LangGraph, CrewAI, Mastra, Google ADK, and more. CopilotKit GitHub repo → (don't forget to star it ⭐ ) If you want to go deeper, I found a detailed breakdown by Shubham Saboo recently on the three Generative UI patterns, with implementation. Read it below.

Avi Chawla

460,282 Aufrufe • vor 3 Monaten

Anthropic's most viral feature is now open-source! Until now, Anthropic's Generative UI capabilities only existed inside its own products. CopilotKit🪁 just shipped Open Generative UI, an open-source implementation of Claude Artifacts that works in any app. The agent generates HTML/SVG at runtime, and CopilotKit streams it token-by-token into a sandboxed iframe inside the app's chat. So the user can watch the UI assemble itself in real time, not after the full response is ready. The sandbox is fully isolated with no access to the parent app, the DOM, or user data. So if the agent hallucinates broken markup or unexpected JavaScript, nothing leaks outside the iframe. Under the hood, the agent does not select from pre-built components. Instead, it generates arbitrary visuals from scratch every time. The output is unconstrained by default, but you can shape it by defining prompt-based skills that teach the agent specific visual formats or guidelines. For instance, a skill prompt can guide the agent toward producing a Chart.js dashboard with proper axis labels and responsive sizing, or an interactive 3D model with rotation controls. The video below shows this in action, and the output quality you see actually comes from the skills layer. Open Generative UI runs on AG-UI, so it works out of the box with LangGraph, CrewAI, Mastra, Google ADK, AWS Strands, and more. It also ships with a standalone MCP server that plugs into Claude Code, Cursor, or any MCP-compatible client. And the entire stack is built on top of CopilotKit, the open-source frontend framework for agents and generative UI. 30k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the GitHub repo and a live playground in the replies!

Anthropic's most viral feature is now open-source! Until now, Anthropic's Generative UI capabilities only existed inside its own products. CopilotKit🪁 just shipped Open Generative UI, an open-source implementation of Claude Artifacts that works in any app. The agent generates HTML/SVG at runtime, and CopilotKit streams it token-by-token into a sandboxed iframe inside the app's chat. So the user can watch the UI assemble itself in real time, not after the full response is ready. The sandbox is fully isolated with no access to the parent app, the DOM, or user data. So if the agent hallucinates broken markup or unexpected JavaScript, nothing leaks outside the iframe. Under the hood, the agent does not select from pre-built components. Instead, it generates arbitrary visuals from scratch every time. The output is unconstrained by default, but you can shape it by defining prompt-based skills that teach the agent specific visual formats or guidelines. For instance, a skill prompt can guide the agent toward producing a Chart.js dashboard with proper axis labels and responsive sizing, or an interactive 3D model with rotation controls. The video below shows this in action, and the output quality you see actually comes from the skills layer. Open Generative UI runs on AG-UI, so it works out of the box with LangGraph, CrewAI, Mastra, Google ADK, AWS Strands, and more. It also ships with a standalone MCP server that plugs into Claude Code, Cursor, or any MCP-compatible client. And the entire stack is built on top of CopilotKit, the open-source frontend framework for agents and generative UI. 30k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the GitHub repo and a live playground in the replies!

Akshay 🚀

87,048 Aufrufe • vor 4 Monaten

Today ReUI Pro goes live! 🔥 Design-forward shadcn/ui platform with MCP fluency for agents. AI made UI generation instant. It didn't make it production-ready. You still spend hours picking blocks, adjusting details, and fine-tuning the last mile. We spent six months building the agent-ready layer for shadcn/ui that closes the gap. Inside: ☑️ Free Hosted MCP with Agent Skills. ☑️ 1,019 open-source shadcn/ui components, free forever. ☑️ 17 open-source ReUI primitives(Data Grid, Filters,File Upload, Stepper and more). ☑️ 485 Pro blocks across over 50 categories. ☑️ 562 hand-crafted interactive icons in 4 styles. ☑️ Default Base UI and legacy Radix by WorkOS versions. Real credit to shadcn for the ecosystem! The registry model changed how we all build and ship UI, and ReUI stands on that foundation. Below is a thread on the 10 things we're most proud of👇

Today ReUI Pro goes live! 🔥 Design-forward shadcn/ui platform with MCP fluency for agents. AI made UI generation instant. It didn't make it production-ready. You still spend hours picking blocks, adjusting details, and fine-tuning the last mile. We spent six months building the agent-ready layer for shadcn/ui that closes the gap. Inside: ☑️ Free Hosted MCP with Agent Skills. ☑️ 1,019 open-source shadcn/ui components, free forever. ☑️ 17 open-source ReUI primitives(Data Grid, Filters,File Upload, Stepper and more). ☑️ 485 Pro blocks across over 50 categories. ☑️ 562 hand-crafted interactive icons in 4 styles. ☑️ Default Base UI and legacy Radix by WorkOS versions. Real credit to shadcn for the ecosystem! The registry model changed how we all build and ship UI, and ReUI stands on that foundation. Below is a thread on the 10 things we're most proud of👇

ReUI

47,964 Aufrufe • vor 1 Monat

ELON: GROK IS THE BEST ASSISTANT TO FIGHT PROPAGANDA “You just press the Grok icon on any 𝕏 post and it will analyze it for you and research it as much as you want. So, just by tapping the Grok icon, you can assess whether that post is the truth, nothing but the truth, or whether there's something supplemental that needs to be explained. So, I think we've made a lot of progress towards freedom of speech and people being able to tell whether something is false or not false, or propaganda. The recent update to Grok is actually, I think, very good at piercing through propaganda. And then, we used that latest version of Grok to create Grokipedia. It's not just, I think, more neutral and more accurate than Wikipedia, but it actually has a lot more information than a Wikipedia page.” Source: All-In Podcast The All-In Podcast, October 31, 2025

ELON: GROK IS THE BEST ASSISTANT TO FIGHT PROPAGANDA “You just press the Grok icon on any 𝕏 post and it will analyze it for you and research it as much as you want. So, just by tapping the Grok icon, you can assess whether that post is the truth, nothing but the truth, or whether there's something supplemental that needs to be explained. So, I think we've made a lot of progress towards freedom of speech and people being able to tell whether something is false or not false, or propaganda. The recent update to Grok is actually, I think, very good at piercing through propaganda. And then, we used that latest version of Grok to create Grokipedia. It's not just, I think, more neutral and more accurate than Wikipedia, but it actually has a lot more information than a Wikipedia page.” Source: All-In Podcast The All-In Podcast, October 31, 2025

Mario Nawfal

1,641,293 Aufrufe • vor 9 Monaten

Elon Musk: You can also ask Grok about anything you see on the platform. You just press the Grok icon on any X post and it'll analyze it for you and research it as much as you want So you can basically have, just by tapping the Grok icon, you can assess whether that post is the truth, the whole truth, or nothing but the truth, or whether there's something supplemental or needs to be explained I think we've made a lot of progress towards freedom of speech and people being able to tell whether something is false or not false or propaganda. The recent update to Grok it's actually very good at piercing through propaganda And then we use that latest version of Grok to create Grokipedia, which I think is a much more, it's not just, I think, more neutral and more accurate than Wikipedia, but it actually has a lot more information than a Wikipedia page

Elon Musk: You can also ask Grok about anything you see on the platform. You just press the Grok icon on any X post and it'll analyze it for you and research it as much as you want So you can basically have, just by tapping the Grok icon, you can assess whether that post is the truth, the whole truth, or nothing but the truth, or whether there's something supplemental or needs to be explained I think we've made a lot of progress towards freedom of speech and people being able to tell whether something is false or not false or propaganda. The recent update to Grok it's actually very good at piercing through propaganda And then we use that latest version of Grok to create Grokipedia, which I think is a much more, it's not just, I think, more neutral and more accurate than Wikipedia, but it actually has a lot more information than a Wikipedia page

X Freeze

22,374,477 Aufrufe • vor 10 Monaten

Today, we're thrilled to announce our $125M Series C funding round at a $1.5B valuation, led by Meritech Capital, marking our third successful raise in just 12 months! fal’s Generative Media Cloud now powers tens of thousands of applications, supporting over two million developers and more than 300 enterprise customers. From initial prototypes to fully scaled production, we've become the essential infrastructure enabling some of the most innovative and creative work in the industry. Over the past year alone, we've experienced extraordinary growth—averaging 40% month-over-month, consistently exceeding our own ambitious projections. Each month, hundreds of thousands of new developers and thousands of fresh applications join our platform, unlocking entirely new use cases previously thought impossible. With this latest round of funding, we're significantly scaling our engineering, support, sales, and marketing teams to keep pace with the accelerating demand and enthusiasm from our community. Our vision has always been clear: build a generative media platform that effortlessly creates dynamic, real-time content across video, audio, image, and 3D. Thanks to our incredible team, dedicated partners, and visionary customers, that's precisely what fal delivers today—empowering creativity at unprecedented scale.

Today, we're thrilled to announce our $125M Series C funding round at a $1.5B valuation, led by Meritech Capital, marking our third successful raise in just 12 months! fal’s Generative Media Cloud now powers tens of thousands of applications, supporting over two million developers and more than 300 enterprise customers. From initial prototypes to fully scaled production, we've become the essential infrastructure enabling some of the most innovative and creative work in the industry. Over the past year alone, we've experienced extraordinary growth—averaging 40% month-over-month, consistently exceeding our own ambitious projections. Each month, hundreds of thousands of new developers and thousands of fresh applications join our platform, unlocking entirely new use cases previously thought impossible. With this latest round of funding, we're significantly scaling our engineering, support, sales, and marketing teams to keep pace with the accelerating demand and enthusiasm from our community. Our vision has always been clear: build a generative media platform that effortlessly creates dynamic, real-time content across video, audio, image, and 3D. Thanks to our incredible team, dedicated partners, and visionary customers, that's precisely what fal delivers today—empowering creativity at unprecedented scale.

fal

1,451,147 Aufrufe • vor 1 Jahr

Today we're launching Caution, a hosting platform for software you can't afford to have hacked. Deploy sensitive workloads to secure enclaves in minutes and give customers cryptographic proof that prod is running the exact release you approved, not an opaque binary you have to trust. Caution is built for payment processors, healthcare platforms, AI agents and inference, crypto infrastructure, and other sensitive systems. It removes the blind trust software runs on today: trust in the cloud host, in production admins, in CI/CD, and in the assumption that the code you reviewed is the code actually running. We spent years securing systems responsible for over $600B in assets and hit the same wall every time: teams couldn't prove what was running in production. Now that AI can find and exploit zero-days faster than anyone can patch, "trust us" isn't enough. Infrastructure has to stay secure even when it's compromised, and prove it. Verifiable compute becomes the default, like HTTPS did.

Today we're launching Caution, a hosting platform for software you can't afford to have hacked. Deploy sensitive workloads to secure enclaves in minutes and give customers cryptographic proof that prod is running the exact release you approved, not an opaque binary you have to trust. Caution is built for payment processors, healthcare platforms, AI agents and inference, crypto infrastructure, and other sensitive systems. It removes the blind trust software runs on today: trust in the cloud host, in production admins, in CI/CD, and in the assumption that the code you reviewed is the code actually running. We spent years securing systems responsible for over $600B in assets and hit the same wall every time: teams couldn't prove what was running in production. Now that AI can find and exploit zero-days faster than anyone can patch, "trust us" isn't enough. Infrastructure has to stay secure even when it's compromised, and prove it. Verifiable compute becomes the default, like HTTPS did.

Anton Livaja

493,897 Aufrufe • vor 1 Monat

Our cofounder tim built an AI storybook app using Black Forest Labs' FLUX2 and Google Gemma 4 on Modular Cloud. Pick a character, make choices, and the story branches endlessly, with every page written and illustrated in real time. Tim has spent his career obsessing over inference latency, first at Google, now at Modular. Building something his kids use settled it: in a real-time generative app, the inference platform determines the experience as much as the model. The numbers back that up. From 24 hours of production traffic: first prose in 420ms, a full illustration in under 6 seconds, 85% of page turns in 48ms. Create your own story with Inkwell and share it. We're sending swag to our favorites:

Our cofounder tim built an AI storybook app using Black Forest Labs' FLUX2 and Google Gemma 4 on Modular Cloud. Pick a character, make choices, and the story branches endlessly, with every page written and illustrated in real time. Tim has spent his career obsessing over inference latency, first at Google, now at Modular. Building something his kids use settled it: in a real-time generative app, the inference platform determines the experience as much as the model. The numbers back that up. From 24 hours of production traffic: first prose in 420ms, a full illustration in under 6 seconds, 85% of page turns in 48ms. Create your own story with Inkwell and share it. We're sending swag to our favorites:

Modular

14,324 Aufrufe • vor 3 Monaten

AG-UI makes building agentic applications dramatically easier. Here's how it works. This is a model for a simple chatbot: User → LLM → Response But interactive agents that render UI, pause for approvals, and ask users for input need a much more complex model. When building these agents, a response from the LLM will include a series of state changes as the agent runs: • Agent started a task • Agent called a tool • Agent updated its state • Agent streams these tokens • Agent is waiting on a human • Agent is resuming the task The Agent-User Interaction Protocol (AG-UI) treats the LLM response as a stream of events rather than a text endpoint. In practice, here is what you get as an agent runs: 1. Lifecycle events so your UI knows where the agent is. 2. Text messages that stream tokens. 3. Tool calls so your UI can prefill a form with any required arguments. 4. State updates that keep your UI in sync with the agent. 5. Special events for human approvals, rich media, and custom needs. All of these events travel over standard transports (SSE, WebSockets, or plain HTTP) as JSON. As a result, you can build a frontend that stays in sync with the agent's progress without having to invent a custom process to make this happen. For example, building a human-in-the-loop workflow becomes an off-the-shelf component you can integrate rather than build from scratch. CopilotKit🪁 is the creator of AG-UI, and you can use it when building frontend applications pretty much anywhere: • React • Angular • Vue • React Native • Slack • Teams • Discord • WhatsApp • Telegram Here is the link for you to check it out: Thanks to the CopilotKit team for partnering with me on this post.

AG-UI makes building agentic applications dramatically easier. Here's how it works. This is a model for a simple chatbot: User → LLM → Response But interactive agents that render UI, pause for approvals, and ask users for input need a much more complex model. When building these agents, a response from the LLM will include a series of state changes as the agent runs: • Agent started a task • Agent called a tool • Agent updated its state • Agent streams these tokens • Agent is waiting on a human • Agent is resuming the task The Agent-User Interaction Protocol (AG-UI) treats the LLM response as a stream of events rather than a text endpoint. In practice, here is what you get as an agent runs: 1. Lifecycle events so your UI knows where the agent is. 2. Text messages that stream tokens. 3. Tool calls so your UI can prefill a form with any required arguments. 4. State updates that keep your UI in sync with the agent. 5. Special events for human approvals, rich media, and custom needs. All of these events travel over standard transports (SSE, WebSockets, or plain HTTP) as JSON. As a result, you can build a frontend that stays in sync with the agent's progress without having to invent a custom process to make this happen. For example, building a human-in-the-loop workflow becomes an off-the-shelf component you can integrate rather than build from scratch. CopilotKit🪁 is the creator of AG-UI, and you can use it when building frontend applications pretty much anywhere: • React • Angular • Vue • React Native • Slack • Teams • Discord • WhatsApp • Telegram Here is the link for you to check it out: Thanks to the CopilotKit team for partnering with me on this post.

Santiago

17,438 Aufrufe • vor 2 Monaten

At Notion, we believe every business deserves powerful & beautiful tools. AI is the most important technology of this era. It shouldn't only belong to companies that have AI teams or can afford forward deployed engineers. Today we're launching Custom Agents: — The first multiplayer agents built for business. — No coding. Minutes to set up. Hosted in the cloud. — Run autonomously 24/7 with all your business apps. — Switch between the best LLMs (usually the same day they're released). — One person builds it, the whole company benefits. Rolling out for Business and Enterprise customers today. The AI era should leave no one behind 👌

At Notion, we believe every business deserves powerful & beautiful tools. AI is the most important technology of this era. It shouldn't only belong to companies that have AI teams or can afford forward deployed engineers. Today we're launching Custom Agents: — The first multiplayer agents built for business. — No coding. Minutes to set up. Hosted in the cloud. — Run autonomously 24/7 with all your business apps. — Switch between the best LLMs (usually the same day they're released). — One person builds it, the whole company benefits. Rolling out for Business and Enterprise customers today. The AI era should leave no one behind 👌

Ivan Zhao

148,301 Aufrufe • vor 6 Monaten

ELON: "NEW AI ‘GROKIPEDIA’ EXPOSES PROPAGANDA IN SECONDS" "The recent update to Grok is actually, I think, very good at piercing through propaganda. We used that latest version of Grok to create Grokipedia, which I believe is not just more neutral and more accurate than Wikipedia, but also contains a lot more information than a typical Wikipedia page. We’ve finished training a maximally truth-seeking version of Grok that’s strong in cogent analysis, breaking down any argument into its axiomatic elements, assessing whether those axioms are likely true, non-contradictory, and whether the conclusion logically follows. Essentially, we’ve trained Grok in advanced critical thinking." Source: The All-In Podcast, Elon Musk, Grok, xAI, Grokipedia

ELON: "NEW AI ‘GROKIPEDIA’ EXPOSES PROPAGANDA IN SECONDS" "The recent update to Grok is actually, I think, very good at piercing through propaganda. We used that latest version of Grok to create Grokipedia, which I believe is not just more neutral and more accurate than Wikipedia, but also contains a lot more information than a typical Wikipedia page. We’ve finished training a maximally truth-seeking version of Grok that’s strong in cogent analysis, breaking down any argument into its axiomatic elements, assessing whether those axioms are likely true, non-contradictory, and whether the conclusion logically follows. Essentially, we’ve trained Grok in advanced critical thinking." Source: The All-In Podcast, Elon Musk, Grok, xAI, Grokipedia

Mario Nawfal

136,888 Aufrufe • vor 10 Monaten

NVIDIA just released a new open source transcription model, Nemotron Speech ASR, designed from the ground up for low-latency use cases like voice agents. Here's a voice agent built with this new model. 24ms transcription finalization and total voice-to-voice inference time under 500ms. This agent actually uses *three* NVIDIA open source models: - Nemotron Speech ASR - Nemotron 3 Nano 30GB in a 4-bit quant (released in December) - A preview checkpoint of the upcoming Magpie text-to-speech model These models are all truly open source: weights, training data, training code, and inference code. This is a big deal! Jensen said in the CES keynote yesterday that he expects open source models to catch up to proprietary models this year in a number of categories. NVIDIA is putting their weight behind making this happen. (As Alan Kay said, the best way to predict the future is to invent it.) The code for this agent is open source too, of course. You can deploy it to production with Modal and Pipecat AI cloud, or run locally on an NVIDIA DGX Spark or RTX 5090.

NVIDIA just released a new open source transcription model, Nemotron Speech ASR, designed from the ground up for low-latency use cases like voice agents. Here's a voice agent built with this new model. 24ms transcription finalization and total voice-to-voice inference time under 500ms. This agent actually uses three NVIDIA open source models: - Nemotron Speech ASR - Nemotron 3 Nano 30GB in a 4-bit quant (released in December) - A preview checkpoint of the upcoming Magpie text-to-speech model These models are all truly open source: weights, training data, training code, and inference code. This is a big deal! Jensen said in the CES keynote yesterday that he expects open source models to catch up to proprietary models this year in a number of categories. NVIDIA is putting their weight behind making this happen. (As Alan Kay said, the best way to predict the future is to invent it.) The code for this agent is open source too, of course. You can deploy it to production with Modal and Pipecat AI cloud, or run locally on an NVIDIA DGX Spark or RTX 5090.

kwindla

274,679 Aufrufe • vor 8 Monaten

Conspiracy Theorists Are Right Again. News Report Confirming: 🚨 “They have found nanotechnology in Coca-Cola and in Pepsi products” “Microsoft and the Coca-Cola company have announced a five-year strategic partnership” “to enable the adoption of leading edge technology and foster innovation and productivity globally. “As part of the partnership, Coca-Cola has made about $1.1 billion, a commitment to the Microsoft Cloud and its generative AI capabilities. Using Azure OpenAI service, Coca-Cola is currently exploring the use of generative AI powered digital assistance to improve performance, metrics related to customer experiences, streamline operations and improve efficiency.” “So the collaboration underscores Coca-Cola's ongoing technology transformation underpinned by the Microsoft cloud as Coca-Cola's globally preferred and strategic cloud and AI platform. Now did you know they have found nanotechnology in Coca-Cola and in Pepsi products?” “Now I'll put the data study in the comments right here with their little red blankie lights letting you know that that is the official article that I was reading through and where they had found the nanoparticles in Pepsi and Coke. Now it goes into a whole bunch of things of how it wants to target certain parts of the body and not only that, did you see that image in the news clip where it's the Coca-Cola but it had an eyeball and like all kinds of other organ looking things for its letters? It's kind of freaking creepy. But if you haven't figured it out, most of the stuff that we drink and that we eat,have nanoparticles or some kind of chemicals or something harmful as they're trying to move us to an AI world. You need to watch what you consume. We've been told this for years and I'm going to say it again. Watch what you consume. And wake up America.”

Conspiracy Theorists Are Right Again. News Report Confirming: 🚨 “They have found nanotechnology in Coca-Cola and in Pepsi products” “Microsoft and the Coca-Cola company have announced a five-year strategic partnership” “to enable the adoption of leading edge technology and foster innovation and productivity globally. “As part of the partnership, Coca-Cola has made about $1.1 billion, a commitment to the Microsoft Cloud and its generative AI capabilities. Using Azure OpenAI service, Coca-Cola is currently exploring the use of generative AI powered digital assistance to improve performance, metrics related to customer experiences, streamline operations and improve efficiency.” “So the collaboration underscores Coca-Cola's ongoing technology transformation underpinned by the Microsoft cloud as Coca-Cola's globally preferred and strategic cloud and AI platform. Now did you know they have found nanotechnology in Coca-Cola and in Pepsi products?” “Now I'll put the data study in the comments right here with their little red blankie lights letting you know that that is the official article that I was reading through and where they had found the nanoparticles in Pepsi and Coke. Now it goes into a whole bunch of things of how it wants to target certain parts of the body and not only that, did you see that image in the news clip where it's the Coca-Cola but it had an eyeball and like all kinds of other organ looking things for its letters? It's kind of freaking creepy. But if you haven't figured it out, most of the stuff that we drink and that we eat,have nanoparticles or some kind of chemicals or something harmful as they're trying to move us to an AI world. You need to watch what you consume. We've been told this for years and I'm going to say it again. Watch what you consume. And wake up America.”

Wall Street Apes

1,707,568 Aufrufe • vor 2 Jahren

ELON: TESLA AIMS TO INCREASE VEHICLE PRODUCTION BY ABOUT 50% BY THE END OF 2026 “We're going to be ramping up production very dramatically at Tesla. Now that we believe that we have autonomy solved, or at least are within a few months of having unsupervised autonomy solved at a reliability level significantly better than human, that means it's time to ramp up production. Because the value proposition is now much greater than a regular car. The killer app really is for people, can you text and drive, or can you sleep and drive? Can the car take you to your destination, or do you need to pay attention and have to drive it? And before we allow the car to be driven without paying attention, we need to make sure it's very safe. But like I said, we're on the cusp of that. I know I've said that a few times, but we really are at this point, and you can feel it for yourselves with the 14.1 release. So, we're going to try to, we're going to push to expand vehicle production as fast as we possibly can. Aspirationally, we would aim to increase vehicle production by about 50% by the end of next year.” Source: Elon Musk Tesla Shareholder Meeting, November 6, 2025

ELON: TESLA AIMS TO INCREASE VEHICLE PRODUCTION BY ABOUT 50% BY THE END OF 2026 “We're going to be ramping up production very dramatically at Tesla. Now that we believe that we have autonomy solved, or at least are within a few months of having unsupervised autonomy solved at a reliability level significantly better than human, that means it's time to ramp up production. Because the value proposition is now much greater than a regular car. The killer app really is for people, can you text and drive, or can you sleep and drive? Can the car take you to your destination, or do you need to pay attention and have to drive it? And before we allow the car to be driven without paying attention, we need to make sure it's very safe. But like I said, we're on the cusp of that. I know I've said that a few times, but we really are at this point, and you can feel it for yourselves with the 14.1 release. So, we're going to try to, we're going to push to expand vehicle production as fast as we possibly can. Aspirationally, we would aim to increase vehicle production by about 50% by the end of next year.” Source: Elon Musk Tesla Shareholder Meeting, November 6, 2025

Mario Nawfal

66,318 Aufrufe • vor 9 Monaten

🚨 President Trump just dropped this truth nuke straight from the Rose Garden: "Over $20 TRILLION DOLLARS is being invested in our country. No country in history has been close." "Our border is secure." "This is the best start to a presidency in terms of production that we've ever had in this country. The stock market has hit 80 all-time record highs in just a year and a half. Think of that." "We're manufacturing things. They're at the highest they've ever been, exports. Think of that." "That's a big one. And a very big one also is today we have more Americans working than at any time in the history of our country." "They're building factories all over in Ohio, in Texas, in every place. Everybody that's sitting here is having factories built where it wasn't even thinkable. There's never been anything like it what's happening in our country."

🚨 President Trump just dropped this truth nuke straight from the Rose Garden: "Over $20 TRILLION DOLLARS is being invested in our country. No country in history has been close." "Our border is secure." "This is the best start to a presidency in terms of production that we've ever had in this country. The stock market has hit 80 all-time record highs in just a year and a half. Think of that." "We're manufacturing things. They're at the highest they've ever been, exports. Think of that." "That's a big one. And a very big one also is today we have more Americans working than at any time in the history of our country." "They're building factories all over in Ohio, in Texas, in every place. Everybody that's sitting here is having factories built where it wasn't even thinkable. There's never been anything like it what's happening in our country."

Eric Daugherty

36,139 Aufrufe • vor 2 Tagen

Anthropic's Claude Ai Agents Team just Educated how to build production AI agents in under 30 mins. For Free. From the engineers who built the stack. CANCEL Your Weekend Plans, and Learn to Build AI Agents Today. Bookmark it. Watch it. Build your first production agent this weekend. $5,000/month. $7,000/month. $12,000/month. People are building agents for clients and charging $$$ as Beginners. You're still stuck in the thinking about AI phase. This video fixes that tonight. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward. ↓ Ivan Nardini runs Developer Relations for AI at Google Cloud. He just gave away the entire production agent stack in 30 minutes. This is the talk that separates people deploying AI agents that actually scale from people whose agents break the moment they leave localhost. Here's everything inside. I break down a production AI video like this every week. Follow Himanshu Kumar. ↓ The 4-part agent stack that actually scales. Most devs are duct-taping frameworks together and calling it an "AI agent." Ivan lays out the real stack: Agent Development Kit (ADK): open-source, code-first framework for building, evaluating, and deploying agents. Supports Claude models through Vertex AI directly. Model Context Protocol (MCP): lets your agent talk to any tool or data source with one standard. Vertex AI Agent Engine: managed platform for deploying, monitoring, and scaling agents in production. No DevOps headaches. Agent-to-Agent Protocol: open protocol so agents built on different frameworks can actually work together. This is the stack replacing every hacky agent setup in production right now. Full MCP + Claude breakdowns drop weekly on Himanshu Kumar. ↓ Building your first real agent. Ivan builds a birthday planner agent live. LLM Agent class. Name it. Define instructions. Pick the model. He uses Claude 3.7 Sonnet. You could use Opus 4.7 for better reasoning. Full agent built in minutes. Not weeks. Watch the build once and you'll never structure an agent the wrong way again. I post agent architectures people pay $500 courses to learn. Himanshu Kumar. ↓ Multi-agent systems without the chaos. Single agents are easy. Multi-agent systems are where 99% of builders fail. Ivan extends the birthday planner by: Adding a calendar service through MCP tools Creating an orchestrator agent to route requests between agents Handling state and context across agent handoffs This is production multi-agent architecture. Clean. Scalable. Debuggable. Most tutorials hand-wave this part. This one shows you every step. Multi-agent orchestration content drops weekly on Himanshu Kumar. ↓ Deployment without the DevOps nightmare. This is where most AI projects die. You build a cool agent locally. It works. You try to deploy it. Everything breaks. Vertex AI Agent Engine fixes this: Minimal code deployment Automatic monitoring of latency, CPU, and memory Built-in observability and logging No infrastructure setup needed You provide config and requirements. The platform handles the rest. This is how agents actually get to production. Deployment guides for Claude agents post every week. Himanshu Kumar. ↓ Agent-to-Agent Protocol: the future nobody's talking about. Most people don't know this exists yet. The A2A Protocol lets agents built in different frameworks communicate seamlessly. Your Claude agent. My LangChain agent. Someone else's CrewAI agent. All talking to each other. All solving parts of the same problem. All without custom integration code. This is the infrastructure layer of the coming AI economy. Getting in early on A2A Protocol is like getting in early on HTTP in 1995. A2A deep dive coming soon. Himanshu Kumar. ↓ 30 minutes from the team shipping this in production. You'll learn more from this than from 6 months of YouTube tutorials made by people who've never deployed an agent past localhost. People who watch this understand production AI agents at the architect level. People who skip it keep hacking together frameworks that break every time an API updates. Save the video. Watch it tonight. Build a real agent this weekend. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward.

Anthropic's Claude Ai Agents Team just Educated how to build production AI agents in under 30 mins. For Free. From the engineers who built the stack. CANCEL Your Weekend Plans, and Learn to Build AI Agents Today. Bookmark it. Watch it. Build your first production agent this weekend. $5,000/month. $7,000/month. $12,000/month. People are building agents for clients and charging $$$ as Beginners. You're still stuck in the thinking about AI phase. This video fixes that tonight. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward. ↓ Ivan Nardini runs Developer Relations for AI at Google Cloud. He just gave away the entire production agent stack in 30 minutes. This is the talk that separates people deploying AI agents that actually scale from people whose agents break the moment they leave localhost. Here's everything inside. I break down a production AI video like this every week. Follow Himanshu Kumar. ↓ The 4-part agent stack that actually scales. Most devs are duct-taping frameworks together and calling it an "AI agent." Ivan lays out the real stack: Agent Development Kit (ADK): open-source, code-first framework for building, evaluating, and deploying agents. Supports Claude models through Vertex AI directly. Model Context Protocol (MCP): lets your agent talk to any tool or data source with one standard. Vertex AI Agent Engine: managed platform for deploying, monitoring, and scaling agents in production. No DevOps headaches. Agent-to-Agent Protocol: open protocol so agents built on different frameworks can actually work together. This is the stack replacing every hacky agent setup in production right now. Full MCP + Claude breakdowns drop weekly on Himanshu Kumar. ↓ Building your first real agent. Ivan builds a birthday planner agent live. LLM Agent class. Name it. Define instructions. Pick the model. He uses Claude 3.7 Sonnet. You could use Opus 4.7 for better reasoning. Full agent built in minutes. Not weeks. Watch the build once and you'll never structure an agent the wrong way again. I post agent architectures people pay $500 courses to learn. Himanshu Kumar. ↓ Multi-agent systems without the chaos. Single agents are easy. Multi-agent systems are where 99% of builders fail. Ivan extends the birthday planner by: Adding a calendar service through MCP tools Creating an orchestrator agent to route requests between agents Handling state and context across agent handoffs This is production multi-agent architecture. Clean. Scalable. Debuggable. Most tutorials hand-wave this part. This one shows you every step. Multi-agent orchestration content drops weekly on Himanshu Kumar. ↓ Deployment without the DevOps nightmare. This is where most AI projects die. You build a cool agent locally. It works. You try to deploy it. Everything breaks. Vertex AI Agent Engine fixes this: Minimal code deployment Automatic monitoring of latency, CPU, and memory Built-in observability and logging No infrastructure setup needed You provide config and requirements. The platform handles the rest. This is how agents actually get to production. Deployment guides for Claude agents post every week. Himanshu Kumar. ↓ Agent-to-Agent Protocol: the future nobody's talking about. Most people don't know this exists yet. The A2A Protocol lets agents built in different frameworks communicate seamlessly. Your Claude agent. My LangChain agent. Someone else's CrewAI agent. All talking to each other. All solving parts of the same problem. All without custom integration code. This is the infrastructure layer of the coming AI economy. Getting in early on A2A Protocol is like getting in early on HTTP in 1995. A2A deep dive coming soon. Himanshu Kumar. ↓ 30 minutes from the team shipping this in production. You'll learn more from this than from 6 months of YouTube tutorials made by people who've never deployed an agent past localhost. People who watch this understand production AI agents at the architect level. People who skip it keep hacking together frameworks that break every time an API updates. Save the video. Watch it tonight. Build a real agent this weekend. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward.

Himanshu Kumar

228,904 Aufrufe • vor 4 Monaten

Today I'm soft launching , the world's first AI computer. Most people could be creating way more with their computers. Instead, they're stuck consuming content made by other people. Zo Computer is a new kind of computer in the cloud, with an AI that "lives" in your computer. You can choose between all the leading models, and just chat (or text) with your new computer to: • write • research • vibe code • generate images and videos • host websites and APIs • save articles • set reminders • automate your life and much more. And because Zo is *your* personal server, everything is stored and hosted on it – your files, your sites, and even the Zo app itself.

Today I'm soft launching , the world's first AI computer. Most people could be creating way more with their computers. Instead, they're stuck consuming content made by other people. Zo Computer is a new kind of computer in the cloud, with an AI that "lives" in your computer. You can choose between all the leading models, and just chat (or text) with your new computer to: • write • research • vibe code • generate images and videos • host websites and APIs • save articles • set reminders • automate your life and much more. And because Zo is your personal server, everything is stored and hosted on it – your files, your sites, and even the Zo app itself.

hraness ☀️

33,437 Aufrufe • vor 11 Monaten

Suella Braverman, "Freedom is in crisis in the UK" "Superficially of course we have an elected system, a functioning democracy, and the rule of law" "Under the surface, our liberties are being shaken to the core because in the UK we are in our own struggle" "We're in a battle for courage and common sense" "We're fighting against the forces of appeasement and progressiveism" "In the UK we have leaders who are more interested in not offending minorities than speaking the truth about industrial scale rape gangs" "We have a police force that will spend more time checking whether your social media comments might be offensive than turning up to burgularies" "We have schools where teachers believe boys canbe girls and girls can be boys" "And public institutions enabling this distorted ideology to devastate our children's minds and bodies" "We have leaders who cover up the truth about terrorist aspects, the extremist elements of the murder of three young girls in Southport, and arresting those people who are angry at that cover up, than looking at the truth" "Why Islamist extremism has been allowed to take root in many communities in the UK" "The UK is now a country where anti semitism has become normalised on our campuses, mainstream media and on our streets through the hate marches, that are enabled by authorities rather than policed against"

Suella Braverman, "Freedom is in crisis in the UK" "Superficially of course we have an elected system, a functioning democracy, and the rule of law" "Under the surface, our liberties are being shaken to the core because in the UK we are in our own struggle" "We're in a battle for courage and common sense" "We're fighting against the forces of appeasement and progressiveism" "In the UK we have leaders who are more interested in not offending minorities than speaking the truth about industrial scale rape gangs" "We have a police force that will spend more time checking whether your social media comments might be offensive than turning up to burgularies" "We have schools where teachers believe boys canbe girls and girls can be boys" "And public institutions enabling this distorted ideology to devastate our children's minds and bodies" "We have leaders who cover up the truth about terrorist aspects, the extremist elements of the murder of three young girls in Southport, and arresting those people who are angry at that cover up, than looking at the truth" "Why Islamist extremism has been allowed to take root in many communities in the UK" "The UK is now a country where anti semitism has become normalised on our campuses, mainstream media and on our streets through the hate marches, that are enabled by authorities rather than policed against"

Farrukh

13,410 Aufrufe • vor 1 Jahr