Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

BREAKING 🚨: ANTHROPIC IS WORKING ON ITS OWN ALWAYS-ON AGENT SOLUTION CALLED CONWAY! CONWAY WILL HAVE A SEPARATE UI INSTANCE, WILL BE ABLE TO OPERATE BROWSER, CONNECTORS, CLAUDE CODE (EPITAXY?) AND COULD BE INVOKED VIA WEBHOOKS. IT WILL ALSO SUPPORT EXTENSIONS, AN UPCOMING CNW ZIP STANDARD FROM ANTHROPIC TO... show more

🚨 AI News | TestingCatalog

74,723 subscribers

319,095 görüntüleme • 5 ay önce •via X (Twitter)

Haberler & Politika Eğitim Bilim & Teknoloji

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

ANTHROPIC 🔥: A new Managed Projects feature has been spotted in testing on Claude. > Claude takes on tasks and keeps the project organized. > A project is a home for one stream of work. Sessions share memory and instructions so context carries forward, and Claude runs more autonomously. Projects only create and manage cloud sessions. This feature may be built on top of Claude Managed Agents, where each project gets a dedicated cloud environment so Claude can execute periodic tasks and refine project context via "Dreams". It could also be a successor to Conway, which is set to be removed this Friday internally.

ANTHROPIC 🔥: A new Managed Projects feature has been spotted in testing on Claude. > Claude takes on tasks and keeps the project organized. > A project is a home for one stream of work. Sessions share memory and instructions so context carries forward, and Claude runs more autonomously. Projects only create and manage cloud sessions. This feature may be built on top of Claude Managed Agents, where each project gets a dedicated cloud environment so Claude can execute periodic tasks and refine project context via "Dreams". It could also be a successor to Conway, which is set to be removed this Friday internally.

🚨 AI News | TestingCatalog

61,827 görüntüleme • 1 ay önce

ANTHROPIC 🚨: Claude Cowork will get its own proactive assistant called "Orbit". > Users will get personalized insights from Gmail, Slack, GitHub, Calendar, Drive, Figma, and other apps, which Claude will generate proactively. > There are also mentions of "Orbit" apps, which users will be able to "deploy." > "Your deployed Orbit apps. Pin favorites for quick access." > OpenAI already has ChatGPT Pulse, while both Google and Perplexity are developing their own proactive assistants, too. > There is a high chance it will be released as Max-only. Thanks to M1 and Tibor Blaho for the tips.

ANTHROPIC 🚨: Claude Cowork will get its own proactive assistant called "Orbit". > Users will get personalized insights from Gmail, Slack, GitHub, Calendar, Drive, Figma, and other apps, which Claude will generate proactively. > There are also mentions of "Orbit" apps, which users will be able to "deploy." > "Your deployed Orbit apps. Pin favorites for quick access." > OpenAI already has ChatGPT Pulse, while both Google and Perplexity are developing their own proactive assistants, too. > There is a high chance it will be released as Max-only. Thanks to M1 and Tibor Blaho for the tips.

🚨 AI News | TestingCatalog

393,670 görüntüleme • 4 ay önce

Google is working on integrating Firebase with AI Studio to enable users to build more complex apps. Users will be able to vibe code a proper database integration and an auth layer. This is accompanied by an updated UI for the Build page and support for / commands.

Google is working on integrating Firebase with AI Studio to enable users to build more complex apps. Users will be able to vibe code a proper database integration and an auth layer. This is accompanied by an updated UI for the Build page and support for / commands.

🚨 AI News | TestingCatalog

66,896 görüntüleme • 7 ay önce

ANTHROPIC 🔥: Claude will soon receive a new file-based memory upgrade, offering users the option to choose between Memory Files and Classic memory. > Organized notes Claude writes as you chat and reads when they're relevant. Browse and edit them anytime. This feature appears to be a new iteration of the previously discovered "Knowledge Bases" and more closely resembles what memory works in always-on agents like OpenClaw and Hermes. Considering a potential future debut of Claude Conway, Memory Files feature is likely an important preparation step.

ANTHROPIC 🔥: Claude will soon receive a new file-based memory upgrade, offering users the option to choose between Memory Files and Classic memory. > Organized notes Claude writes as you chat and reads when they're relevant. Browse and edit them anytime. This feature appears to be a new iteration of the previously discovered "Knowledge Bases" and more closely resembles what memory works in always-on agents like OpenClaw and Hermes. Considering a potential future debut of Claude Conway, Memory Files feature is likely an important preparation step.

🚨 AI News | TestingCatalog

419,772 görüntüleme • 3 ay önce

LocalHost (localhost HQ) is working with Anthropic (Anthropic) to support founders building and deploying AI in production. Through this collaboration, LocalHost portfolio companies and a select group of high-signal community startups will receive Anthropic credits to build with Claude and experiment, iterate, and ship their applications. As more companies move from AI experimentation to production systems, access to reliable models and strong infrastructure matters. We’re excited to support founders who are designing products around AI from the start, rather than adding it on later.

LocalHost (localhost HQ) is working with Anthropic (Anthropic) to support founders building and deploying AI in production. Through this collaboration, LocalHost portfolio companies and a select group of high-signal community startups will receive Anthropic credits to build with Claude and experiment, iterate, and ship their applications. As more companies move from AI experimentation to production systems, access to reliable models and strong infrastructure matters. We’re excited to support founders who are designing products around AI from the start, rather than adding it on later.

Suhas Sumukh

18,897 görüntüleme • 7 ay önce

BREAKING 🚨: Google started working on a Genie 3 experiment where users will be able to generate their own worlds to explore. Genie 3 is an AI World Model from Google announced earlier this year.

BREAKING 🚨: Google started working on a Genie 3 experiment where users will be able to generate their own worlds to explore. Genie 3 is an AI World Model from Google announced earlier this year.

🚨 AI News | TestingCatalog

491,014 görüntüleme • 10 ay önce

$Anthropic has revealed that its Claude model is now designing proteins and automating chemistry research on its own. This kind of work used to require specialist scientists and weeks or months of effort. It can now be completed by an AI system in a fraction of the time.$

Anthropic has revealed that its Claude model is now designing proteins and automating chemistry research on its own. This kind of work used to require specialist scientists and weeks or months of effort. It can now be completed by an AI system in a fraction of the time.

Anonymous

59,739 görüntüleme • 23 gün önce

THIS DOCUMENT FROM ANTHROPIC WILL LITERALLY GET YOU PROMOTED > the fastest way to reach a senior position is to automate your current job this technical paper shows how to encode your daily workflows into Claude build custom "Skills" to force the AI to do the heavy lifting: > package your routines into automated folders > the agent executes your tasks flawlessly in the background > it connects directly to your local tools via MCP servers hand off the junior work to the agent and easily claim your promotion grab the exact blueprint right here 👇

THIS DOCUMENT FROM ANTHROPIC WILL LITERALLY GET YOU PROMOTED > the fastest way to reach a senior position is to automate your current job this technical paper shows how to encode your daily workflows into Claude build custom "Skills" to force the AI to do the heavy lifting: > package your routines into automated folders > the agent executes your tasks flawlessly in the background > it connects directly to your local tools via MCP servers hand off the junior work to the agent and easily claim your promotion grab the exact blueprint right here 👇

Mr. Buzzoni

370,657 görüntüleme • 2 ay önce

ClickUp is working on agents that build custom user interfaces on the fly. > Agents can build custom interactive blocks, with buttons, editable fields, and embedded charts. > Agents decide what the user needs to see and construct an interactive experience in real time. > Clicking or editing inside a generated block can fire an action directly. Agents will be able to create a working code block that responds to users' input, built in the moment for the task at hand.

ClickUp is working on agents that build custom user interfaces on the fly. > Agents can build custom interactive blocks, with buttons, editable fields, and embedded charts. > Agents decide what the user needs to see and construct an interactive experience in real time. > Clicking or editing inside a generated block can fire an action directly. Agents will be able to create a working code block that responds to users' input, built in the moment for the task at hand.

🚨 AI News | TestingCatalog

12,841 görüntüleme • 1 ay önce

I had to write the same Claude Code prompt 40 times in one month. Good news! Anthropic already made them. The official Claude Code prompts are sorted by task and role in the documentation and are ready to be copied and pasted. These prompts were drawn from what our teams use on a daily basis while working with Claude Code. Examples of the types of tasks these prompts cover include: * Planning * Debugging * Code review * Security * Automation Even better, each prompt describes why it works and what you're trying to achieve. This helps you learn what makes a good prompt, and eventually craft your own versions. The prompts are completely free, and we have the link below ⬇️

I had to write the same Claude Code prompt 40 times in one month. Good news! Anthropic already made them. The official Claude Code prompts are sorted by task and role in the documentation and are ready to be copied and pasted. These prompts were drawn from what our teams use on a daily basis while working with Claude Code. Examples of the types of tasks these prompts cover include: * Planning * Debugging * Code review * Security * Automation Even better, each prompt describes why it works and what you're trying to achieve. This helps you learn what makes a good prompt, and eventually craft your own versions. The prompts are completely free, and we have the link below ⬇️

Charlie Hills

17,461 görüntüleme • 8 gün önce

Eric Schmidt (ex-Google CEO), on the fastest way to make real money right now: "found an agentic AI company" every resource behind that quote is public and free Anthropic's own agent framework, laid out course by course - 13 links, 3 tracks, free certs, $0 LEARN - start here (5 resources) 01. All 13 Anthropic Academy courses, free certs ↳ 02. Claude Code 101 ↳ 03. Claude Code in Action ↳ 04. Prompt engineering, the reference docs ↳ 05. Interactive prompt tutorial, hands-on ↳ BUILD - the working parts (6 resources) 06. Claude Code full docs ↳ 07. CLAUDE.md, how to give Claude memory ↳ 08. Skills, teach Claude reusable workflows ↳ 09. MCP, connect Claude to Slack, GitHub, Drive ↳ 10. Routines, automate tasks 24/7 ↳ 11. Agent Architecture roundup ↳ COMMUNITY - what other builders wrote (2 resources) 12. Claude Code Ultimate Guide ↳ 13. Awesome Claude Code, skills, hooks, plugins ↳ the entire stack costs $0. the only real cost is sitting down and going through it full builder's guide on turning this into a self-correcting workspace 👇

Eric Schmidt (ex-Google CEO), on the fastest way to make real money right now: "found an agentic AI company" every resource behind that quote is public and free Anthropic's own agent framework, laid out course by course - 13 links, 3 tracks, free certs, $0 LEARN - start here (5 resources) 01. All 13 Anthropic Academy courses, free certs ↳ 02. Claude Code 101 ↳ 03. Claude Code in Action ↳ 04. Prompt engineering, the reference docs ↳ 05. Interactive prompt tutorial, hands-on ↳ BUILD - the working parts (6 resources) 06. Claude Code full docs ↳ 07. CLAUDE.md, how to give Claude memory ↳ 08. Skills, teach Claude reusable workflows ↳ 09. MCP, connect Claude to Slack, GitHub, Drive ↳ 10. Routines, automate tasks 24/7 ↳ 11. Agent Architecture roundup ↳ COMMUNITY - what other builders wrote (2 resources) 12. Claude Code Ultimate Guide ↳ 13. Awesome Claude Code, skills, hooks, plugins ↳ the entire stack costs $0. the only real cost is sitting down and going through it full builder's guide on turning this into a self-correcting workspace 👇

Mr. Buzzoni

17,660 görüntüleme • 2 gün önce

🚨 BREAKING: The greatest Sec. of State Marco Rubio just dropped an ULTIMATUM on Iran "The Straits of Hormuz WILL be open. When this operation is over, it WILL be open, and it will be open one way or another!" "It will be open because Iran agrees to abide by international law and not block the commercial waterway, or a coalition of nations from around the world and the region, with the participation of the United States, will make sure that it's open." "One way or the other, it's going to be open." 🔥

🚨 BREAKING: The greatest Sec. of State Marco Rubio just dropped an ULTIMATUM on Iran "The Straits of Hormuz WILL be open. When this operation is over, it WILL be open, and it will be open one way or another!" "It will be open because Iran agrees to abide by international law and not block the commercial waterway, or a coalition of nations from around the world and the region, with the participation of the United States, will make sure that it's open." "One way or the other, it's going to be open." 🔥

Eric Daugherty

102,612 görüntüleme • 5 ay önce

THIS GUY BOUGHT A $31 TOY DRONE AND TURNED CLAUDE OPUS 4.8 INTO ITS ENGINEER he plugged it into a laptop, explained the control logic in plain english and let Claude build the flight interface by the end of the session it had calibration, live controls and a browser cockpit moving the drone in real time most people will use Opus 4.8 to save 12 minutes on emails. he used it to turn cheap plastic into a working demo the crazy part isn’t the drone. it’s that the bottleneck moved from writing code to describing exactly what you want built while everyone debates benchmarks, someone with a $31 gadget and one afternoon is already shipping hardware demos

THIS GUY BOUGHT A $31 TOY DRONE AND TURNED CLAUDE OPUS 4.8 INTO ITS ENGINEER he plugged it into a laptop, explained the control logic in plain english and let Claude build the flight interface by the end of the session it had calibration, live controls and a browser cockpit moving the drone in real time most people will use Opus 4.8 to save 12 minutes on emails. he used it to turn cheap plastic into a working demo the crazy part isn’t the drone. it’s that the bottleneck moved from writing code to describing exactly what you want built while everyone debates benchmarks, someone with a $31 gadget and one afternoon is already shipping hardware demos

Gipp 🦅

735,627 görüntüleme • 3 ay önce

here's how the whole thing works. claude code doesn't care what's behind the API. it just sends requests and expects responses. so i pointed it at my own machine instead of anthropic's servers. llama-server runs the model locally. LiteLLM sits in between and translates the API format. claude code thinks it's talking to claude. it's talking to qwen on localhost. the setup: 2x 3090s, 38 layers on GPU, 10 on CPU. 128K context window. generation is only 7 tok/s but the tradeoff is worth it. 128K means the agent can hold an entire project in memory without losing context midtask. claude code alone loads a 17.5K token system prompt on every request. tool definitions, safety rules, agent behavior. that's your baseline before you even say hello. pushed as far as i could tonight. what surprised me most wasn't the speed. it was the iteration quality. first prompt gave me a working particle sim. second prompt, the model read its own 564 lines, understood the architecture, and added trails, explosions, gravity wells, bloom effects. no handholding. 4bit quantized. 45GB on two consumer cards. running a full coding agent autonomously. detailed article coming. full benchmarks, hardware breakdowns, engine debugging, code quality. everything from setup to what broke and why.

here's how the whole thing works. claude code doesn't care what's behind the API. it just sends requests and expects responses. so i pointed it at my own machine instead of anthropic's servers. llama-server runs the model locally. LiteLLM sits in between and translates the API format. claude code thinks it's talking to claude. it's talking to qwen on localhost. the setup: 2x 3090s, 38 layers on GPU, 10 on CPU. 128K context window. generation is only 7 tok/s but the tradeoff is worth it. 128K means the agent can hold an entire project in memory without losing context midtask. claude code alone loads a 17.5K token system prompt on every request. tool definitions, safety rules, agent behavior. that's your baseline before you even say hello. pushed as far as i could tonight. what surprised me most wasn't the speed. it was the iteration quality. first prompt gave me a working particle sim. second prompt, the model read its own 564 lines, understood the architecture, and added trails, explosions, gravity wells, bloom effects. no handholding. 4bit quantized. 45GB on two consumer cards. running a full coding agent autonomously. detailed article coming. full benchmarks, hardware breakdowns, engine debugging, code quality. everything from setup to what broke and why.

Sudo su

37,623 görüntüleme • 6 ay önce

Claude Mobile starts the idea... Ghostty finishes it I basically use Claude Mobile as a notepad now. Whenever something comes to mind, I open the app, pick a repo, and ask Claude to start exploring. Then I just let it run while I go on with my day. Later I jump into Claude Desktop and I’m right back in the same session, with context, structure, and a clearer shape of the idea. I tweak a few things to set up the coding phase. Finally, one click to Ghostty (video), open a couple of worktrees, and start working on the PR. IMPORTANT: when you move to Ghostty, it must be the exact same repo you started on mobile, otherwise the --teleport command will fail

Claude Mobile starts the idea... Ghostty finishes it I basically use Claude Mobile as a notepad now. Whenever something comes to mind, I open the app, pick a repo, and ask Claude to start exploring. Then I just let it run while I go on with my day. Later I jump into Claude Desktop and I’m right back in the same session, with context, structure, and a clearer shape of the idea. I tweak a few things to set up the coding phase. Finally, one click to Ghostty (video), open a couple of worktrees, and start working on the PR. IMPORTANT: when you move to Ghostty, it must be the exact same repo you started on mobile, otherwise the --teleport command will fail

Daniel San

67,891 görüntüleme • 7 ay önce

LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.

LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.

Avi Chawla

30,932 görüntüleme • 10 ay önce

LLM Knowledge Base → Slides When Andrej Karpathy shared his LLM Knowledge Base setup, many were wondering how to generate more visual forms of the wiki. There are many options, but I think Gamma is one of the best at producing high-quality, rich presentations. To showcase this, I just built a pipeline that turns my AI papers wiki (1K+ papers across 20 AI agent topics) into polished slide presentations using Gamma. The flow: Obsidian vault → Gamma MCP → embedded preview in my dashboard. I give one command to my agent, which pulls the top papers from each topic (via the wiki), feeds them to Gamma, and renders the presentation inline. The Gamma connector for Claude is a great choice for generating beautiful and professional slides. Easy to use. Go to your Claude instance and add the official Gamma connector. That's it! Claude Code will now have access to all the necessary MCP tools for generating slides. I use the Claude Agent SDK for my agent orchestrator, so I use the official Gamma MCP tools and embed the generated slides in an iframe via my artifact preview. See the clip below for an example.

LLM Knowledge Base → Slides When Andrej Karpathy shared his LLM Knowledge Base setup, many were wondering how to generate more visual forms of the wiki. There are many options, but I think Gamma is one of the best at producing high-quality, rich presentations. To showcase this, I just built a pipeline that turns my AI papers wiki (1K+ papers across 20 AI agent topics) into polished slide presentations using Gamma. The flow: Obsidian vault → Gamma MCP → embedded preview in my dashboard. I give one command to my agent, which pulls the top papers from each topic (via the wiki), feeds them to Gamma, and renders the presentation inline. The Gamma connector for Claude is a great choice for generating beautiful and professional slides. Easy to use. Go to your Claude instance and add the official Gamma connector. That's it! Claude Code will now have access to all the necessary MCP tools for generating slides. I use the Claude Agent SDK for my agent orchestrator, so I use the official Gamma MCP tools and embed the generated slides in an iframe via my artifact preview. See the clip below for an example.

elvis

47,989 görüntüleme • 4 ay önce