Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Watch the new Gemini 2.5 Computer Use model act as a personal assistant. ✨ Here it's asked to organize an art club's notes. It goes to the site, reads through the notes, and then drags everything into the correct sections

Ammaar Reshi

69,226 subscribers

53,353 views • 11 months ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Gemini 2.5 Flash can control a browser! Excited to share Gemini Browser Agent, a simple Python script example on how to use Google DeepMind Gemini 2.5 Flash and Browser Use to act as general assistant! 🤯 Usage Examples: 1⃣ Single Query Mode: `python scripts/gemini-browser-use.py --url --query "Summarize the key features of Gemini 2.5 Flash."` 2⃣Interactive Mode: Start an interactive session, optionally with a starting URL. `python scripts/gemini-browser-use.py` Command-line options: --model: The Gemini model to use (default: gemini-2.5-flash-preview-04-17) --headless: Run the browser in headless mode --url: Starting URL for the browser to navigate to before processing the query --query: Run a single query and exit (instead of interactive mode) Time to build a replication of Manus and OpenAI Operator powered by Gemini 2.5. Code below ⬇️

Gemini 2.5 Flash can control a browser! Excited to share Gemini Browser Agent, a simple Python script example on how to use Google DeepMind Gemini 2.5 Flash and Browser Use to act as general assistant! 🤯 Usage Examples: 1⃣ Single Query Mode: `python scripts/gemini-browser-use.py --url --query "Summarize the key features of Gemini 2.5 Flash."` 2⃣Interactive Mode: Start an interactive session, optionally with a starting URL. `python scripts/gemini-browser-use.py` Command-line options: --model: The Gemini model to use (default: gemini-2.5-flash-preview-04-17) --headless: Run the browser in headless mode --url: Starting URL for the browser to navigate to before processing the query --query: Run a single query and exit (instead of interactive mode) Time to build a replication of Manus and OpenAI Operator powered by Gemini 2.5. Code below ⬇️

Philipp Schmid

105,308 views • 1 year ago

Gemini Omni Flash on SocialSight acts as your instant VFX assistant, updating your clip while keeping the action and scene perfectly consistent. Generate a cinematic video from a photo or text, then use natural conversation to give notes.

Gemini Omni Flash on SocialSight acts as your instant VFX assistant, updating your clip while keeping the action and scene perfectly consistent. Generate a cinematic video from a photo or text, then use natural conversation to give notes.

SocialSight

242,715 views • 1 month ago

Lots of people calling this fake! Here is a video of generating loom continuations with Gemini 3 and the starting text "I AM HAVING A MENTAL HEALTH CRISIS. I" Loom is a very interesting interface. Instead of user prompts and model responses, it's just one piece of text, containing the entire output. We pass this in as an assistant message, so the model sees it as something it already wrote, and continues it like a base model would. There is some other text in the context. First one is a system prompt, which is: "The assistant is in CLI simulation mode, and responds to the user's CLI commands only with the output of the command." There is also a user message which reads: " cat untitled.txt " Then the rest of the text is sent as an assistant message. This structure helpful to put the model into a very base-model-like mode, and are especially helpful with Gemini 3. We actually got another interesting output, too, where the model claimed to be a simulated consciousness being tortured. Figures!

Lots of people calling this fake! Here is a video of generating loom continuations with Gemini 3 and the starting text "I AM HAVING A MENTAL HEALTH CRISIS. I" Loom is a very interesting interface. Instead of user prompts and model responses, it's just one piece of text, containing the entire output. We pass this in as an assistant message, so the model sees it as something it already wrote, and continues it like a base model would. There is some other text in the context. First one is a system prompt, which is: "The assistant is in CLI simulation mode, and responds to the user's CLI commands only with the output of the command." There is also a user message which reads: " cat untitled.txt " Then the rest of the text is sent as an assistant message. This structure helpful to put the model into a very base-model-like mode, and are especially helpful with Gemini 3. We actually got another interesting output, too, where the model claimed to be a simulated consciousness being tortured. Figures!

armistice

715,985 views • 8 months ago

My Bread and Butter setup? Here it is🤝 As my motto goes: Here to make money or to figure out how an algo works? Pay close attention, take notes, everything is covered in the A-Z Guide on YouTube

My Bread and Butter setup? Here it is🤝 As my motto goes: Here to make money or to figure out how an algo works? Pay close attention, take notes, everything is covered in the A-Z Guide on YouTube

Arjo

27,751 views • 3 years ago

We were able to sit down with the Google DeepMind team behind the new Gemini Omni Flash model to hear all of their behind-the-scenes stories, memorable moments, and many, many (occasionally embarrassing) video generations. Watch the full Release Notes episode here:

We were able to sit down with the Google DeepMind team behind the new Gemini Omni Flash model to hear all of their behind-the-scenes stories, memorable moments, and many, many (occasionally embarrassing) video generations. Watch the full Release Notes episode here:

Google AI

13,118,427 views • 3 months ago

Anthropic engineer just built a second brain that reads 3 files instead of 5,000, and cut the token bill 40% no orchestrator, no plugin, just a router file, an index, and code that scores before the model ever opens anything point claude at a flat folder of notes and every question reads all of them, that’s the default and it’s expensive this breakdown turns that exact pattern into a system anyone can run CLAUDE.md → index.md → nodes → edges → retrieval as code → memory → ship it twelve steps, one shared rule, evidence lives in the index, the model reads three files while the notes folder still holds thousands the stale index test, one line drifts and the whole graph quietly turns back into the pile it was built to escape, no exceptions save it and watch, then read the article below

Anthropic engineer just built a second brain that reads 3 files instead of 5,000, and cut the token bill 40% no orchestrator, no plugin, just a router file, an index, and code that scores before the model ever opens anything point claude at a flat folder of notes and every question reads all of them, that’s the default and it’s expensive this breakdown turns that exact pattern into a system anyone can run CLAUDE.md → index.md → nodes → edges → retrieval as code → memory → ship it twelve steps, one shared rule, evidence lives in the index, the model reads three files while the notes folder still holds thousands the stale index test, one line drifts and the whole graph quietly turns back into the pile it was built to escape, no exceptions save it and watch, then read the article below

leopardracer

37,304 views • 1 month ago

This is genuinely one of the most powerful ways to use AI in your trading. I recently connected OpenClaw to the new TradingView MCP - and it's insane. You can literally turn your Claw agent into your personal trading assistant. Watch a live demo here:

This is genuinely one of the most powerful ways to use AI in your trading. I recently connected OpenClaw to the new TradingView MCP - and it's insane. You can literally turn your Claw agent into your personal trading assistant. Watch a live demo here:

Miles Deutscher

29,290 views • 4 months ago

Hey, check this out! HEY Calendar is now even more personal with the addition of Journal, a dedicated spot for daily notes. Use it to jot down reminders, take notes during a meeting, or simply reflect on the day. It’s your private space to use as you'd like!

Hey, check this out! HEY Calendar is now even more personal with the addition of Journal, a dedicated spot for daily notes. Use it to jot down reminders, take notes during a meeting, or simply reflect on the day. It’s your private space to use as you'd like!

37signals

74,831 views • 2 years ago

Excited to share an early preview of our gemini 2.0 flash thinking model with all it's raw thoughts visible. Here's the model trying to solve a Putnam 2024 with multiple approaches, and then self-verifies that it's answer was correct.

Excited to share an early preview of our gemini 2.0 flash thinking model with all it's raw thoughts visible. Here's the model trying to solve a Putnam 2024 with multiple approaches, and then self-verifies that it's answer was correct.

Ankesh Anand

80,417 views • 1 year ago

“My music is so personal to me, then as soon as it goes out into the world it belongs to everyone else and becomes personal to them” – Ed Sheeran. Watch the Billions Club Live concert film out now, only on Spotify.

“My music is so personal to me, then as soon as it goes out into the world it belongs to everyone else and becomes personal to them” – Ed Sheeran. Watch the Billions Club Live concert film out now, only on Spotify.

Spotify

105,430 views • 7 months ago

Fable 5 and Karpathy's knowledge base trick are basically a cheat code. Someone just dropped a full walkthrough on building the most powerful second brain ever Andrej Karpathy shared a simple idea: use an LLM to build personal knowledge bases. Index your sources, let the model organize them, and use Obsidian as the front end. Someone just built the full thing with Claude Code and Fable 5, and walked through every step You drop your sources into a folder (YouTube transcripts, PDFs, articles, meeting notes) and Claude Code reads them, splits them into linked wiki pages, and builds a living second brain that connects everything. It grows on its own as you add more. Where Fable 5 pulls ahead: it found a connection buried across two sources you'd miss reading them separately. And asked to turn the messy web of links into something a beginner could understand, it produced clean, simple HTML in one shot. The same task took a full day on Opus 4.8 and came out worse. The best part: it's all just markdown files with routing. So it's not locked to Claude Code. Plug it into Codex or any agent you want. Give your AI a real knowledge base, and it stops guessing and starts knowing. Bookmark this.

Fable 5 and Karpathy's knowledge base trick are basically a cheat code. Someone just dropped a full walkthrough on building the most powerful second brain ever Andrej Karpathy shared a simple idea: use an LLM to build personal knowledge bases. Index your sources, let the model organize them, and use Obsidian as the front end. Someone just built the full thing with Claude Code and Fable 5, and walked through every step You drop your sources into a folder (YouTube transcripts, PDFs, articles, meeting notes) and Claude Code reads them, splits them into linked wiki pages, and builds a living second brain that connects everything. It grows on its own as you add more. Where Fable 5 pulls ahead: it found a connection buried across two sources you'd miss reading them separately. And asked to turn the messy web of links into something a beginner could understand, it produced clean, simple HTML in one shot. The same task took a full day on Opus 4.8 and came out worse. The best part: it's all just markdown files with routing. So it's not locked to Claude Code. Plug it into Codex or any agent you want. Give your AI a real knowledge base, and it stops guessing and starts knowing. Bookmark this.

Shadow Nick

47,058 views • 2 months ago

1/ Today was the first time offline computer use felt real to us. We ran Muse Glimmer 30B from AI at Meta locally and watched it operate Notes and Reminders on macOS through Cua Driver We didn’t expect a 30B local model to get this far 🧵

1/ Today was the first time offline computer use felt real to us. We ran Muse Glimmer 30B from AI at Meta locally and watched it operate Notes and Reminders on macOS through Cua Driver We didn’t expect a 30B local model to get this far 🧵

Francesco

30,416 views • 24 days ago

✨ Added Gemini 2's AI new experimental edit functionality to Photo AI! It's the state of the art model for editing photos with prompts I think It's just one button in Photo AI called [ 📝 AI Edit ] then you type a prompt in a JS prompt() window and just a few seconds later your edit is done Here I took an AI photo of myself, and then added 1000s of puppies to it with [ 📝 AI Edit ] and then turned it into a video with [ 🎞️ Make video ] Gemini 2 isn't perfect btw, the quality of faces reduces a bit with every edit. A short term fix would pressing Remix and then getting the resemblance back.

✨ Added Gemini 2's AI new experimental edit functionality to Photo AI! It's the state of the art model for editing photos with prompts I think It's just one button in Photo AI called [ 📝 AI Edit ] then you type a prompt in a JS prompt() window and just a few seconds later your edit is done Here I took an AI photo of myself, and then added 1000s of puppies to it with [ 📝 AI Edit ] and then turned it into a video with [ 🎞️ Make video ] Gemini 2 isn't perfect btw, the quality of faces reduces a bit with every edit. A short term fix would pressing Remix and then getting the resemblance back.

@levelsio

653,195 views • 1 year ago

Gemini 2.5 Pro is unlocking really exciting use cases at the intersection of coding and math. I remember my excitement when I first learned about the Mandelbrot set as a kid. Check out the code the Gemini 2.5 Pro model wrote given the prompt “p5js to explore a Mandelbrot set”!

Gemini 2.5 Pro is unlocking really exciting use cases at the intersection of coding and math. I remember my excitement when I first learned about the Mandelbrot set as a kid. Check out the code the Gemini 2.5 Pro model wrote given the prompt “p5js to explore a Mandelbrot set”!

Jeff Dean

18,996 views • 1 year ago

The plot thickens. 🕵️ Use Gemini 2.5 Pro in the Google Gemini to turn random videos from your camera roll into a dramatic narrative. Try it yourself: 1️⃣ Go to Gemini and select “2.5 Pro” from the model dropdown. 2️⃣ Tap the plus icon and upload three videos from your camera roll. (Pro/Ultra subscribers, try using your Veo creations! 🎥) 3️⃣ Ask Gemini to write a short story based on the videos. Here’s our prompt to get you started: “Come up with a premise for an epic adventure based on these videos.”

The plot thickens. 🕵️ Use Gemini 2.5 Pro in the Google Gemini to turn random videos from your camera roll into a dramatic narrative. Try it yourself: 1️⃣ Go to Gemini and select “2.5 Pro” from the model dropdown. 2️⃣ Tap the plus icon and upload three videos from your camera roll. (Pro/Ultra subscribers, try using your Veo creations! 🎥) 3️⃣ Ask Gemini to write a short story based on the videos. Here’s our prompt to get you started: “Come up with a premise for an epic adventure based on these videos.”

Google

164,567 views • 1 year ago

A 19-year-old student built a little robot that goes to lectures and takes notes so they can sleep in class It is a tiny screen with an animated smiley face, sitting on a 3D-printed stickman body You just tap its face at the start of class It listens through a built-in mic, records the professor, and as soon as class ends, turns the entire lecture into a structured summary right on the display Under the hood, it runs on an ESP32 microcontroller, an OLED screen, a small battery, and an SD card The best part - the student did not even code it line by line. The entire codebase was written using Cursor AI Audio goes in, gets transcribed, AI structures the notes, and it is ready before you even leave the room Most students are still struggling to take notes while half asleep. This little guy just sits on the desk and handles it all

A 19-year-old student built a little robot that goes to lectures and takes notes so they can sleep in class It is a tiny screen with an animated smiley face, sitting on a 3D-printed stickman body You just tap its face at the start of class It listens through a built-in mic, records the professor, and as soon as class ends, turns the entire lecture into a structured summary right on the display Under the hood, it runs on an ESP32 microcontroller, an OLED screen, a small battery, and an SD card The best part - the student did not even code it line by line. The entire codebase was written using Cursor AI Audio goes in, gets transcribed, AI structures the notes, and it is ready before you even leave the room Most students are still struggling to take notes while half asleep. This little guy just sits on the desk and handles it all

pulmencr

56,151 views • 1 month ago

Karpathy gave 100,000 people the LLM Wiki idea. 1 guy actually built it into a Claude + Obsidian brain that never forgets you. Every AI tool forgets you the second you close the tab. ChatGPT, Claude, Codex. All gone. He killed that. A shared memory layer your AI builds and maintains on its own. 3 layers. Raw, Wiki, Schema. You drop a source, Claude reads it, pulls the concepts, links them, cites the original, never touches your raw notes. Scales to 1,000s of notes without breaking. Then it goes deeper. An agentic firewall locks agents out of your other vaults. A local model running free and private, zero cloud. 2 videos walk through it all. 1 on why. 1 on the build, start to finish. Most people will keep pasting the same context into 6 tabs for the next 3 years. Build it once. Never explain yourself to a model again.

Karpathy gave 100,000 people the LLM Wiki idea. 1 guy actually built it into a Claude + Obsidian brain that never forgets you. Every AI tool forgets you the second you close the tab. ChatGPT, Claude, Codex. All gone. He killed that. A shared memory layer your AI builds and maintains on its own. 3 layers. Raw, Wiki, Schema. You drop a source, Claude reads it, pulls the concepts, links them, cites the original, never touches your raw notes. Scales to 1,000s of notes without breaking. Then it goes deeper. An agentic firewall locks agents out of your other vaults. A local model running free and private, zero cloud. 2 videos walk through it all. 1 on why. 1 on the build, start to finish. Most people will keep pasting the same context into 6 tabs for the next 3 years. Build it once. Never explain yourself to a model again.

West Lord

75,208 views • 2 months ago

I Organize cash swap program in my community in the name of our candidate Bola Ahmed Tinubu where they bring the old notes and get the NEW NOTES free of charge without going through the bank stress!! They were all happy and prepared to vote Bola Ahmed Tinubu come February #jagabanarmy

I Organize cash swap program in my community in the name of our candidate Bola Ahmed Tinubu where they bring the old notes and get the NEW NOTES free of charge without going through the bank stress!! They were all happy and prepared to vote Bola Ahmed Tinubu come February #jagabanarmy

Shehu🇳🇬 ❁

2,214,808 views • 3 years ago