Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Google has just launched an AI feature capable of planning, reasoning and searching the web. All this is done in a single prompt using Deep Research. This is literally the first reasoning model that has access to the internet. Game-changer. How to use it below 🧵

itsPaulAi's profile picture

Paul Couvert

220,581 subscribers

298,330 Aufrufe • vor 1 Jahr •via X (Twitter)

BildungNachrichten & PolitikWissenschaft & Technologie
LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Woow Google has just rolled out the AI model Flash Thinking 2.0 This is the first reasoning model capable of accessing YouTube and it changes everything: - Search for a video on your topic - Ask Gemini to think about the video - You'll have a tailor-made result in 10 sec. And it's even connected to Google Search and Maps!
0:19

Woow Google has just rolled out the AI model Flash Thinking 2.0 This is the first reasoning model capable of accessing YouTube and it changes everything: - Search for a video on your topic - Ask Gemini to think about the video - You'll have a tailor-made result in 10 sec. And it's even connected to Google Search and Maps!

Paul Couvert

79,489 Aufrufe • vor 1 Jahr

Google DeepMind is absolutely on fire 🔥 they have just launched Gemini Robotics-ER 1.5 their first broadly available robotics AI model designed to act as the "high-level reasoning brain" for robots. This is Google's first Gemini Robotics model made available to all developers. - Available in preview through Google AI Studio and Gemini API. - First thinking model for robots interacting with the physical world. Handles complex commands and orchestrates sophisticated robotic behaviors. - Key capabilities: Advanced spatial reasoning, multi-step task planning, Google Search integration, precise 2D pointing, object reasoning, and video analysis. - Flexible thinking budget lets developers tune speed vs accuracy. Can think longer for complex tasks or respond quickly for reactive operations. - Enhanced safety filters refuse dangerous tasks and recognize physical limits.
0:15

Google DeepMind is absolutely on fire 🔥 they have just launched Gemini Robotics-ER 1.5 their first broadly available robotics AI model designed to act as the "high-level reasoning brain" for robots. This is Google's first Gemini Robotics model made available to all developers. - Available in preview through Google AI Studio and Gemini API. - First thinking model for robots interacting with the physical world. Handles complex commands and orchestrates sophisticated robotic behaviors. - Key capabilities: Advanced spatial reasoning, multi-step task planning, Google Search integration, precise 2D pointing, object reasoning, and video analysis. - Flexible thinking budget lets developers tune speed vs accuracy. Can think longer for complex tasks or respond quickly for reactive operations. - Enhanced safety filters refuse dangerous tasks and recognize physical limits.

AshutoshShrivastava

137,226 Aufrufe • vor 11 Monaten

This is insane. ElevenLabs AI can now clone the voice of someone that speaks English and let them say things in a language, they don't speak. And this is all done just using a single prompt 👇
0:17

This is insane. ElevenLabs AI can now clone the voice of someone that speaks English and let them say things in a language, they don't speak. And this is all done just using a single prompt 👇

Barsee 🐶

886,431 Aufrufe • vor 3 Jahren

🚨Breaking: The "Google of AI tools" just launched. You can use over 1000 AI tools including text, images, code, videos, and academic research, all in one spot. Here’s how to use it:👇
0:11

🚨Breaking: The "Google of AI tools" just launched. You can use over 1000 AI tools including text, images, code, videos, and academic research, all in one spot. Here’s how to use it:👇

Hasan Toor

71,610 Aufrufe • vor 1 Jahr

ICML 2026: Latent Reasoning in TRMs is Secretly a Policy Improvement Operator Why does recursive reasoning, especially latent reasoning, actually work? The theory is still young, and even mechanistic explanations are limited. We close part of this gap by showing that latent reasoning is secretly doing policy improvement. Each recursion pushes the model steadily toward the target. Based on this view, we propose an algorithm that boosts learning and inference efficiency by up to 18x.
0:12

ICML 2026: Latent Reasoning in TRMs is Secretly a Policy Improvement Operator Why does recursive reasoning, especially latent reasoning, actually work? The theory is still young, and even mechanistic explanations are limited. We close part of this gap by showing that latent reasoning is secretly doing policy improvement. Each recursion pushes the model steadily toward the target. Based on this view, we propose an algorithm that boosts learning and inference efficiency by up to 18x.

Arip

24,987 Aufrufe • vor 2 Monaten

Most AI apps need paid subscriptions, but the Chinese are building apps that are free. Bohrium is a free AI app built for researchers. • Combines Deep Seek's reasoning model with academic databases. • Gives detailed answers and cites published papers. Here's how to use it:
0:10

Most AI apps need paid subscriptions, but the Chinese are building apps that are free. Bohrium is a free AI app built for researchers. • Combines Deep Seek's reasoning model with academic databases. • Gives detailed answers and cites published papers. Here's how to use it:

Mushtaq Bilal, PhD

54,041 Aufrufe • vor 1 Jahr

Google has just released an AI note-taking tool. It's completely free and super-powerful. Here's how to access and use it in advance (thread):
0:10

Google has just released an AI note-taking tool. It's completely free and super-powerful. Here's how to access and use it in advance (thread):

Paul Couvert

970,740 Aufrufe • vor 3 Jahren

Try 👁 Agentic Vision with Gemini 3 Flash in Google AI Studio or Vertex AI. This new capability enables the model to effectively use code and reasoning to improve performance for common vision tasks. See Agentic Vision in action:
0:12

Try 👁 Agentic Vision with Gemini 3 Flash in Google AI Studio or Vertex AI. This new capability enables the model to effectively use code and reasoning to improve performance for common vision tasks. See Agentic Vision in action:

Google AI Developers

175,284 Aufrufe • vor 7 Monaten

🚨BREAKING: HEZBOLLAH USE LARGE MISSILE FOR FIRST TIME THIS WAR The explosion below is suspected to be ''Burkan" Missile from Hezbollah. This would be the first time that Hezbollah has used this weapon in this war, marking an escalatory step due to its increased payload. The Burkan, also known as “The Volcano”, has a range of 500-2,000 meters and can carry explosive warheads that weigh hundreds of kilograms. The video below shows the rocket being used in a different conflict. Is this a warning to Israel, or is it indicating an intention to escalate? Source: Yedioth Newspaper
0:19

🚨BREAKING: HEZBOLLAH USE LARGE MISSILE FOR FIRST TIME THIS WAR The explosion below is suspected to be ''Burkan" Missile from Hezbollah. This would be the first time that Hezbollah has used this weapon in this war, marking an escalatory step due to its increased payload. The Burkan, also known as “The Volcano”, has a range of 500-2,000 meters and can carry explosive warheads that weigh hundreds of kilograms. The video below shows the rocket being used in a different conflict. Is this a warning to Israel, or is it indicating an intention to escalate? Source: Yedioth Newspaper

Mario Nawfal

2,782,390 Aufrufe • vor 2 Jahren

Nah no, this is not a pre-made or baked Blender model. It is created entirely from scratch using extruded geometry and procedural textures for the mustard hatching pattern on the model... all done with Google Gemini 3 pro AI. In fact, every Three.js 3D model you see on this website has been vibe coded with AI 😎 Live: Code:
0:13

Nah no, this is not a pre-made or baked Blender model. It is created entirely from scratch using extruded geometry and procedural textures for the mustard hatching pattern on the model... all done with Google Gemini 3 pro AI. In fact, every Three.js 3D model you see on this website has been vibe coded with AI 😎 Live: Code:

The Bugged Dev

54,391 Aufrufe • vor 8 Monaten

This is literally OnlyFans for AI. Higgsfield just launched the first-ever monetisation platform for AI influencers. You can now build a digital character for free and earn from a $100,000 weekly pool. Here is how it works: 🧵
0:17

This is literally OnlyFans for AI. Higgsfield just launched the first-ever monetisation platform for AI influencers. You can now build a digital character for free and earn from a $100,000 weekly pool. Here is how it works: 🧵

Farhan

570,532 Aufrufe • vor 7 Monaten

Okay this is really cool. Codex app has a new feature that is really useful. Highlight any text, and you'll notice a new popup. "More Details" uses GPT 5.5 Instant to explain in more detail about the highlighted portion of your text, allowing you to understand the reasoning/concept/statement/etc in greater detail. What's interesting about this versus a side chat is that it's instantaneous, and still retains context from the thread. With /side chat, you'd have to type out a prompt "what are the details on this?" With "more details" the prompt is implicit and the response is instantenous Very nice feature, as I'm always making side chats/branches to expand/learn/understand agent outputs better.
0:17

Okay this is really cool. Codex app has a new feature that is really useful. Highlight any text, and you'll notice a new popup. "More Details" uses GPT 5.5 Instant to explain in more detail about the highlighted portion of your text, allowing you to understand the reasoning/concept/statement/etc in greater detail. What's interesting about this versus a side chat is that it's instantaneous, and still retains context from the thread. With /side chat, you'd have to type out a prompt "what are the details on this?" With "more details" the prompt is implicit and the response is instantenous Very nice feature, as I'm always making side chats/branches to expand/learn/understand agent outputs better.

am.will

38,580 Aufrufe • vor 2 Monaten

NEW: Israel is using a Middle Ages-style catapult to launch flaming projectiles into Lebanon. "This is a local initiative and not a tool that is widely used," the Israeli Defense Forces announced in a statement. The reasoning behind the use of the catapult is to clear dense vegetation that Hezbollah may use for cover. The move came just one week after Israeli Prime Minister Benjamin Netanyahu said the IDF is "prepared for an extremely powerful action in the north.”
0:16

NEW: Israel is using a Middle Ages-style catapult to launch flaming projectiles into Lebanon. "This is a local initiative and not a tool that is widely used," the Israeli Defense Forces announced in a statement. The reasoning behind the use of the catapult is to clear dense vegetation that Hezbollah may use for cover. The move came just one week after Israeli Prime Minister Benjamin Netanyahu said the IDF is "prepared for an extremely powerful action in the north.”

Collin Rugg

3,025,707 Aufrufe • vor 2 Jahren

You guys, I am at a loss of words. This """puzzle""" is literally as simple as match the symbol on the shield to the only other shield with a symbol, AND THE GAME STILL HAS AN NPC TELL YOU HOW TO DO IT. These developers think you have an IQ below that of a goldfish.
0:12

You guys, I am at a loss of words. This """puzzle""" is literally as simple as match the symbol on the shield to the only other shield with a symbol, AND THE GAME STILL HAS AN NPC TELL YOU HOW TO DO IT. These developers think you have an IQ below that of a goldfish.

Narwitz

609,224 Aufrufe • vor 1 Jahr

You can now create AI images directly from Google Slides. No need to spend hours searching for images for your presentations. And this feature is available for free. Here's how to activate it: 1. Go to labs .google .com 2. Scroll down to "Google Workspace". 3. Click on the "Learn more" button to access the waitlist. When it's activated, you'll see the button that appears in Google Slides as in the video. Click on it and enter your prompt: E.g.: "a cat in front of a raspberry pie". You can even choose different styles: photography, vector art, sketch, ... This will save a lot of time when creating slideshows! Don't hesitate to follow me to learn how to do more with AI.
0:12

You can now create AI images directly from Google Slides. No need to spend hours searching for images for your presentations. And this feature is available for free. Here's how to activate it: 1. Go to labs .google .com 2. Scroll down to "Google Workspace". 3. Click on the "Learn more" button to access the waitlist. When it's activated, you'll see the button that appears in Google Slides as in the video. Click on it and enter your prompt: E.g.: "a cat in front of a raspberry pie". You can even choose different styles: photography, vector art, sketch, ... This will save a lot of time when creating slideshows! Don't hesitate to follow me to learn how to do more with AI.

Paul Couvert

318,258 Aufrufe • vor 2 Jahren

HydraFusion Explained. Part I: How does the Copilot engine know what to optimize for? Your prompt is evaluated across 4 dimensions: ➡ Does it require deep reasoning? (aka. reasoning depth) ➡ Is it a sophisticated problem? (aka. code generation complexity) ➡ Is it untangling a complicated mess? (aka. debugging difficulty) ➡ Is it dominated by tool-use? (aka. tool orchestration needs) Based on this evaluation, a HyDRA score is assigned to determine the capability profile your task needs the most and to establish a quality bar. Part II: How does it choose a model? Note: It doesn' t pick one model to handle the entire job e2e, (that's Auto mode). Instead, it selects 1 of 3 execution workflows and assigns the best model at different stages based on the HyDRA score: 1️⃣ Single ⚙️ How it works: A single model completes the task from start to finish. ⚖️ Rationale: The task comfortably meets the quality bar with one model. Multi-model orchestration would add latency and cost with no meaningful quality gain. 2️⃣ Cascade ⚙️ How it works: A lightweight, cost-efficient model generates the solution. This draft is evaluated against a quality gate and if it falls short of the quality bar, the entire task escalates to a stronger, frontier model. ⚖️ Rationale: Only bring in the big guns when there is concrete evidence that a lightweight model won't meet the quality threshold. 3️⃣ Critique ⚙️ How it works: A lightweight model drafts the initial code and tool interactions. An independent, read-only frontier model reviews that draft and provides feedback. The original lightweight model then performs any targeted revision(s) before the final response is sent to the user. ⚖️ Rationale: Writing code (output tokens) is expensive while reviewing code (input tokens) is cheap. Instead of incurring the cost of a powerhouse writing hundreds of lines from scratch, a cost-efficient model writes the first draft, and the frontier model just reviews it and points out fixes. HydraFusion is available in experimental preview on the GitHub Copilot CLI: /experimental on, /model and select Hydrafusion (Research Preview)
0:13

HydraFusion Explained. Part I: How does the Copilot engine know what to optimize for? Your prompt is evaluated across 4 dimensions: ➡ Does it require deep reasoning? (aka. reasoning depth) ➡ Is it a sophisticated problem? (aka. code generation complexity) ➡ Is it untangling a complicated mess? (aka. debugging difficulty) ➡ Is it dominated by tool-use? (aka. tool orchestration needs) Based on this evaluation, a HyDRA score is assigned to determine the capability profile your task needs the most and to establish a quality bar. Part II: How does it choose a model? Note: It doesn' t pick one model to handle the entire job e2e, (that's Auto mode). Instead, it selects 1 of 3 execution workflows and assigns the best model at different stages based on the HyDRA score: 1️⃣ Single ⚙️ How it works: A single model completes the task from start to finish. ⚖️ Rationale: The task comfortably meets the quality bar with one model. Multi-model orchestration would add latency and cost with no meaningful quality gain. 2️⃣ Cascade ⚙️ How it works: A lightweight, cost-efficient model generates the solution. This draft is evaluated against a quality gate and if it falls short of the quality bar, the entire task escalates to a stronger, frontier model. ⚖️ Rationale: Only bring in the big guns when there is concrete evidence that a lightweight model won't meet the quality threshold. 3️⃣ Critique ⚙️ How it works: A lightweight model drafts the initial code and tool interactions. An independent, read-only frontier model reviews that draft and provides feedback. The original lightweight model then performs any targeted revision(s) before the final response is sent to the user. ⚖️ Rationale: Writing code (output tokens) is expensive while reviewing code (input tokens) is cheap. Instead of incurring the cost of a powerhouse writing hundreds of lines from scratch, a cost-efficient model writes the first draft, and the frontier model just reviews it and points out fixes. HydraFusion is available in experimental preview on the GitHub Copilot CLI: /experimental on, /model and select Hydrafusion (Research Preview)

Julia Muiruri

12,514 Aufrufe • vor 5 Tagen