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Introducing ASCII Magic v2 ✨ - A completely restructured interface focused on discoverability and performance - 100+ styles & shaders - Unique animations for each effect - 171 AI generative presets - 4K export - New stackable post processing effects - A new way to create ft. node editor...

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Kailash

14,088 subscribers

16,689 görüntüleme • 1 ay önce •via X (Twitter)

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Kailash profil fotoğrafı
Kailash1 ay önce

Check it out at

abhidev profil fotoğrafı
abhidev1 ay önce

Wooahh .. lets Gooo 🔥🔥🔥

Kailash profil fotoğrafı
Kailash1 ay önce

🔥🔥

Sweta profil fotoğrafı
Sweta1 ay önce

Woahh!!! Crazyy🔥🫶🏻

Kailash profil fotoğrafı
Kailash1 ay önce

yass thank you!!

The Boring Developer profil fotoğrafı
The Boring Developer1 ay önce

171 presets is a lot of ways to make text look weird in the best way, bookmarking this for when i inevitably need to procrastinate

Kailash profil fotoğrafı
Kailash1 ay önce

Thanks!

Kailash profil fotoğrafı
Kailash1 ay önce

🚀

Pratik profil fotoğrafı
Pratik1 ay önce

banger video bro!

Kailash profil fotoğrafı
Kailash1 ay önce

Thanks so much bro 👊

Arpit profil fotoğrafı
Arpit1 ay önce

Will try all

Kailash profil fotoğrafı
Kailash1 ay önce

letsgo! let me know how your experience was

Neelakshi profil fotoğrafı
Neelakshi1 ay önce

Looks so sick! Also the video is so damn smooth 🔥

Kailash profil fotoğrafı
Kailash1 ay önce

Thanks so muchh🔥😇

Basit A. Khan profil fotoğrafı
Basit A. Khan1 ay önce

that's amazing work bro

Kailash profil fotoğrafı
Kailash1 ay önce

Thanks Basit🫶🔥

Deep profil fotoğrafı
Deep1 ay önce

It is going to go huge miles for suree..... the beast asciiiii.....

Kailash profil fotoğrafı
Kailash1 ay önce

yessir! it should. for the amount of effort put in

Kanha Meher profil fotoğrafı
Kanha Meher1 ay önce

Bro's GOAT for a reason! 🔥

Kailash profil fotoğrafı
Kailash1 ay önce

Hahah thanks so much man!

hashim profil fotoğrafı
hashim1 ay önce

@BenjaminUIX Can’t wait for the mcp!

Kailash profil fotoğrafı
Kailash1 ay önce

@BenjaminUIX dropping in a couple days!

Shubh profil fotoğrafı
Shubh1 ay önce

letsgoo! keep em coming

Kailash profil fotoğrafı
Kailash1 ay önce

Thanks brother🔥🔥🙏 Yes lots more coming soon

Putri Karunia profil fotoğrafı
Putri Karunia1 ay önce

woo this is sick!! these look really good! ❤️‍🔥

Kailash profil fotoğrafı
Kailash1 ay önce

Thank you so much Putri✨

BenjaminUIX profil fotoğrafı
BenjaminUIX1 ay önce

Looks super cool 😎

Kailash profil fotoğrafı
Kailash1 ay önce

Thanks bro🔥🙏

dudu profil fotoğrafı
dudu1 ay önce

Absolute banger of a launch video for a banger product! the MCP server will be game changing

Kailash profil fotoğrafı
Kailash1 ay önce

Yesss! Thanks bro MCP coming soon

Adam 🌿 Unroot.design profil fotoğrafı
Adam 🌿 Unroot.design1 ay önce

congrats, looks great. what got cut going from v1 to v2?

Hammermann profil fotoğrafı
Hammermann1 ay önce

Been waiting for this!

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We partnered with artists, designers, and builders to create new AI tools that solve real problems in their creative workflows. Here’s what’s new: — Introducing Google Pics in Google Workspace: A brand-new image creation & editing tool. Move and resize objects, add text, and translate just by hovering and clicking — Big updates to صافي النيه😉: 1) You can now create with Gemini Omni Flash in Google Flow 2) Google Flow Agent is a multi-step creative partner that reasons and plans complex tasks with you. 3) Google Flow tools are custom tools you can “vibe code” for animations, video effects, text layering & more — Design live with Stitch by Google: Now, you can use text or voice prompts to edit layouts in real time then export those designs straight to code — More creative control in صافي النيه😉Music: Edit songs section by section, remix the style of full songs, and create music videos with our new Gemini Omni Flash model

Google AI

13,954,807 görüntüleme • 5 ay önce

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!
2:43

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,256 görüntüleme • 1 yıl önce

Today we are re-launching shaders in We call them Vibe Shaders. There's nothing else like them. They live next to your .pen files as GLSL files and can be easily vibecoded right on the canvas. Built by designers for designers. They deserved a special Shader Mode, a focused mode to finetune the uniforms directly in the context of your design. In addition to the classic Shader Fills, we've also added Shader Effects. This allows for incredible creative flexibility, as it applies the effect on a whole object tree that's part of a particular frame and you can change everything live, no hustling with textures. Additionally we are also launching Background Shaders, they sample the texture from everything below the object. Imagine creating your own custom background blur or a partial dither effect for objects below a frame. You can also create shaders with 3D transformations to vector logos or build custom shader brushes for vectors paths. Forget having just a fixed set of shaders, this is next level and only possible, because we have a full control over our custom renderer. We also automatically compute the SDF (signed distance field) in realtime, so vectors that have applied shaders can be changed directly on canvas without the need to re-export a new SDF file, an incredible time-saver. Look for the samples in Goodies, which has been updated with a ton of new examples. Or simply pair pen.dev with the latest models, drop in a bunch of images, ask agent to build you a shader and it's guaranteed you will feel an explosion of your creative superpowers!
0:42

Today we are re-launching shaders in We call them Vibe Shaders. There's nothing else like them. They live next to your .pen files as GLSL files and can be easily vibecoded right on the canvas. Built by designers for designers. They deserved a special Shader Mode, a focused mode to finetune the uniforms directly in the context of your design. In addition to the classic Shader Fills, we've also added Shader Effects. This allows for incredible creative flexibility, as it applies the effect on a whole object tree that's part of a particular frame and you can change everything live, no hustling with textures. Additionally we are also launching Background Shaders, they sample the texture from everything below the object. Imagine creating your own custom background blur or a partial dither effect for objects below a frame. You can also create shaders with 3D transformations to vector logos or build custom shader brushes for vectors paths. Forget having just a fixed set of shaders, this is next level and only possible, because we have a full control over our custom renderer. We also automatically compute the SDF (signed distance field) in realtime, so vectors that have applied shaders can be changed directly on canvas without the need to re-export a new SDF file, an incredible time-saver. Look for the samples in Goodies, which has been updated with a ton of new examples. Or simply pair pen.dev with the latest models, drop in a bunch of images, ask agent to build you a shader and it's guaranteed you will feel an explosion of your creative superpowers!

Tom Krcha

66,914 görüntüleme • 3 gün önce