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ClickUp to add artifacts with Brain2 👀 > It will be able to create slides, prototypes, websites, or dashboards. > Brain pulls from workspace context, so the output is built on real project data > Artifacts render inline in the channel and stay fully interactive. When Brain is asked... show more

🚨 AI News | TestingCatalog

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ClickUp's Brain AI will now be able to create agents on its own! > Brain now spots when a task is worth handing off and offers to build a dedicated agent. > It ships preconfigured, with triggers, rules, and scope already in place. > Work keeps moving after Brain finishes, with the agent owning the recurring side. Users can ask Brain to triage incoming bugs once, and it will then propose a standing agent that monitors new reports, assigns severity, flags duplicates, and automatically files tasks.

ClickUp's Brain AI will now be able to create agents on its own! > Brain now spots when a task is worth handing off and offers to build a dedicated agent. > It ships preconfigured, with triggers, rules, and scope already in place. > Work keeps moving after Brain finishes, with the agent owning the recurring side. Users can ask Brain to triage incoming bugs once, and it will then propose a standing agent that monitors new reports, assigns severity, flags duplicates, and automatically files tasks.

🚨 AI News | TestingCatalog

13,940 views • 1 month ago

Gamma is now on Claude! You can generate a presentation with Gamma directly in your Claude chat. Connect Gamma and instantly turn any conversation into something you'd share with your team or present to the world. You can also: - Connect to Gmail, Slack, or HubSpot ("turn this email into a deck") - Fully edit your presentation in Gamma for any tweaks Take that research task, strategy proposal, or project summary and turn it into a polished presentation. Think with Claude. Visualize with Gamma.

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Gamma

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🇺🇸 ELON: HUMAN BRAIN IMPLANTS ARE NOW FULLY FUNCTIONAL "We're going to solve a lot of brain issues, where the brain gets injured or damaged in some way, or didn’t develop quite the right way. What we’re creating with Neuralink is a generalized input-output technology for the brain, a way to get information into or out of the brain, without damaging it or causing negative side effects. This is a very hard problem. Every single one of our implants in humans is working, and working quite well. You’ll get to hear from some of the people who’ve received the implants, in their own words." Source: Neuralink

🇺🇸 ELON: HUMAN BRAIN IMPLANTS ARE NOW FULLY FUNCTIONAL "We're going to solve a lot of brain issues, where the brain gets injured or damaged in some way, or didn’t develop quite the right way. What we’re creating with Neuralink is a generalized input-output technology for the brain, a way to get information into or out of the brain, without damaging it or causing negative side effects. This is a very hard problem. Every single one of our implants in humans is working, and working quite well. You’ll get to hear from some of the people who’ve received the implants, in their own words." Source: Neuralink

Mario Nawfal

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Introducing Kanvas a visual workspace to think, plan, and build ideas on a single canvas Built using the html canvas api >Collaborate in real time >Create freely or stay structured >Design with AI help >Privacy Kanvas is simple, visual, and powerful , with AI built right into the canvas link in comment

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deep

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AI is changing everything.. Now you can turn raw numbers into beautiful, interactive chart presentations… in under a minute. Meet Gamma — the all-in-one AI platform for creating presentations, landing pages, social media posts, and documents in record time. I asked it: "Create a presentation with charts showing New York immigration data and its impact on music culture" Seconds later, Gamma delivered an 10-page, fully designed presentation complete with interactive charts and clean layouts. It didn’t just visualize the data, it broke down immigration stats by division %, making the insights easy to understand and ready to present. If you work with reports, proposals, or ideas that need to be shared fast, this tool helps you go from prompt to polished output instantly. Link:

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Nelly;

25,051 views • 11 months ago

GOOGLE 🔥: A new "App" artifact is being developed on Gemini Notebook! > "Generate an interactive HTML app based on your sources" Users will be able to customize it via a prompt; examples include interactive dashboards, apps, and games! Imagine playing a game based on books you have added as sources?! Besides that, Google continues to work on AI Notes and may also add an option to enable or disable watermarking for generated artifacts.

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🚨 AI News | TestingCatalog

46,268 views • 3 days ago

i wish i could just upload a CSV and it would automatically create a dashboard so we built this today we're launching graphed .com graphed is an AI data analytics and dashboard generator upload data into Graphed and it's gonna one shot generate a dashboard you can chat with the entire dashboard to make changes and you can click into the graph and chat with it to make updates everything you create in Graphed can easily be shared with your team by sending a link or you can download a screenshot and drop it into a Slack channel or add it to a presentation the Graphed source data can either be a CSV or a data integration data integrations allow you to create live dashboards that are constantly updating in the background we're launching with Google Analytics 4 as our first data integration but we have Shopify, Facebook ads, Google Ads, MongoDB, and hundreds more are on our product roadmap you can sign up for free at graphed .com and if you want a 40% discount code that will only be available during launch comment "graphed" below

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Manetho is digitizing the museum experience with AI. Using computer vision and NLP, it translates hieroglyphs in real time and turns artifacts into interactive learning tools. Built on Huawei Cloud, ModelArts, and MindSpore, it supports deeper access to Egyptian history.

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Eigent AI

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Daria Nevezhyna

12,820 views • 11 months ago

THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this

THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this

Yarchi

58,186 views • 1 month ago

THIS GUY BUILT A REAL JARVIS THAT TURNS HIS IDEAS INTO FINISHED PROJECTS ON ITS OWN, AND HE JUST SHOWED HOW THE WHOLE THING WORKS The whole system runs on one clean split he calls a blood-brain barrier. The second brain, his Obsidian vault, is only for things that aren't real yet. Ideas. Each one sits in a project-shaped folder, waiting to be processed and turned into something real. Nothing executes there. The vault is the place where ideas get shaped, not built. Once an idea is signed off, it crosses over to the execution pipeline. That lives on his actual machine, or an always-on box, or a Raspberry Pi, depending on what the project needs. Inside that machine is a fully Claude-native file system. The key piece is one CLAUDE.md file sitting in the root of his documents folder, acting as the map to everything in there. So he just opens Claude and says "go to my projects folder," and it already knows the whole structure, because that root file explains it. Two zones, one rule: the brain holds what isn't real, the machine runs what is. That separation is what keeps the ideas from tangling with the work. Bookmark this

THIS GUY BUILT A REAL JARVIS THAT TURNS HIS IDEAS INTO FINISHED PROJECTS ON ITS OWN, AND HE JUST SHOWED HOW THE WHOLE THING WORKS The whole system runs on one clean split he calls a blood-brain barrier. The second brain, his Obsidian vault, is only for things that aren't real yet. Ideas. Each one sits in a project-shaped folder, waiting to be processed and turned into something real. Nothing executes there. The vault is the place where ideas get shaped, not built. Once an idea is signed off, it crosses over to the execution pipeline. That lives on his actual machine, or an always-on box, or a Raspberry Pi, depending on what the project needs. Inside that machine is a fully Claude-native file system. The key piece is one CLAUDE.md file sitting in the root of his documents folder, acting as the map to everything in there. So he just opens Claude and says "go to my projects folder," and it already knows the whole structure, because that root file explains it. Two zones, one rule: the brain holds what isn't real, the machine runs what is. That separation is what keeps the ideas from tangling with the work. Bookmark this

Yarchi

87,075 views • 1 month ago

Over the weekend I finished the to-do list that does itself. Everytime you add a task, a GPT-4 agent is spawned to complete it. It already has the context it needs on you and your company, and has access to your apps. It’s called the Do Anything Machine (Link in thread)

Over the weekend I finished the to-do list that does itself. Everytime you add a task, a GPT-4 agent is spawned to complete it. It already has the context it needs on you and your company, and has access to your apps. It’s called the Do Anything Machine (Link in thread)

Garrett Scott 🕳

2,893,286 views • 3 years ago

📒 ICYMI: you can now use the Google Gemini to create Google Slides from a URL, a PDF document, an outline, a brief description, or more. All you have to do is select "Canvas", type "Please create a slide deck about..." and add the topic, then wait and export to Slides:

📒 ICYMI: you can now use the Google Gemini to create Google Slides from a URL, a PDF document, an outline, a brief description, or more. All you have to do is select "Canvas", type "Please create a slide deck about..." and add the topic, then wait and export to Slides:

👩‍💻 Paige Bailey

23,262 views • 8 months ago

Next up… Slide Decks! Turn your sources into a detailed deck for reading OR a set of presentation-ready slides. They are fully customizable, so you can tailor them to any audience, level, and style. Officially rolling out to Pro users now (free users in the coming weeks)!

Next up… Slide Decks! Turn your sources into a detailed deck for reading OR a set of presentation-ready slides. They are fully customizable, so you can tailor them to any audience, level, and style. Officially rolling out to Pro users now (free users in the coming weeks)!

Gemini Notebook

1,634,755 views • 8 months ago

Grok 4.3 Beta is insanely good and now comes with powerful new tools that are super helpful for everyday use: • Create clean slides, graphs, images and dashboards • Pull real-time data and images directly from the web • Run smooth multi-step workflows • Analyze videos Grok is being built for real-world use - better tools, richer context, and real day-to-day signals make this a big step toward Grok becoming part of everyday life You can now research, visualize, and package your ideas end-to-end..... from concept to finished presentation or dashboard all in one place And the Grok Computer is coming very soon 🔥

Grok 4.3 Beta is insanely good and now comes with powerful new tools that are super helpful for everyday use: • Create clean slides, graphs, images and dashboards • Pull real-time data and images directly from the web • Run smooth multi-step workflows • Analyze videos Grok is being built for real-world use - better tools, richer context, and real day-to-day signals make this a big step toward Grok becoming part of everyday life You can now research, visualize, and package your ideas end-to-end..... from concept to finished presentation or dashboard all in one place And the Grok Computer is coming very soon 🔥

X Freeze

572,208 views • 3 months ago

For now, BCIs like mine are output-only. They don’t generate input in the brain. They simply read neural signals and turn them into actions — like controlling a computer with your mind. In the future, I do think BCIs will be able to generate input into the brain. We are very far from that today, and anyone saying otherwise is getting ahead of reality. But if we ever get there, the most important question won’t be technical. It’ll be: what will it mean to be human?

For now, BCIs like mine are output-only. They don’t generate input in the brain. They simply read neural signals and turn them into actions — like controlling a computer with your mind. In the future, I do think BCIs will be able to generate input into the brain. We are very far from that today, and anyone saying otherwise is getting ahead of reality. But if we ever get there, the most important question won’t be technical. It’ll be: what will it mean to be human?

Noland Arbaugh

13,757 views • 6 months ago

Ilya Sutskever says the real challenge of AI is how fast and extreme its growth will be it still has limits, but it already speaks, codes, and interacts in ways once impossible soon, perhaps within 3 to 10 years, AI will be able to do everything humans can do the reason: "the human brain is a biological computer, so why can't a digital brain do the same?"

Ilya Sutskever says the real challenge of AI is how fast and extreme its growth will be it still has limits, but it already speaks, codes, and interacts in ways once impossible soon, perhaps within 3 to 10 years, AI will be able to do everything humans can do the reason: "the human brain is a biological computer, so why can't a digital brain do the same?"

Haider.

144,938 views • 1 year ago