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... 9:43
Gemini Canvas: FULLY FREE NEW AI Coder by Google! SUPER FAST!

WorldofAI

1+ months ago 6K views

Google has recently made significant upgrades to its Gemini app, introducing a deep research agent capable of creating lengthy multi-page reports based on user prompts. The Gemini 3 model has shown performance that rivals top competitors like GPT-4. A new feature called Canvas has been launched, providing an interactive environment for refining documents, code, and audio. It enriches user experience by allowing for engaging podcast-style presentations from generated content and integrates various modalities including vision, audio, and code. The app can create interactive prototypes and visualizations quickly, enhancing productivity in coding and document generation.
03:00 - 03:25

Demo shows Canvas creating a functional stock market component with visualizations.

Google Machine Learning Tech & Hardware
... 40:
How I Use NotebookLM With Obsidian 📝 Practical Note-Taking + AI 🤖

Wanderloots

1+ months ago 2K views

Notebook LM enhances the note-taking process in Obsidian by allowing users to upload personal sources like PDFs and Markdown files for interactive conversations with AI. The speaker shares personal experiences integrating AI into their research, writing, and learning while emphasizing Notebook LM's privacy features. Highlighted use cases include summarizing complex note-taking systems, generating audio overviews, and repurposing existing content, showcasing how AI can be leveraged for effective personal knowledge management. The speaker underlines the importance of privacy and discusses the limitations and benefits of using AI tools to facilitate knowledge integration.
04:29 - 04:38

Discusses the importance of data privacy when using AI tools.

Natural Language Processing (NLP) Education
... 9:41
How to Use Gemini AI’s Deep Research to Save HOURS

Andy Stapleton

1+ months ago 4K views

Gemini AI offers advanced research capabilities for users willing to pay for in-depth analysis. Upon logging in, options for deep research are accessible. Unlike other tools like ChatGPT, Gemini AI promptly formulates research plans without asking clarifying questions. Results are generated in approximately 10 minutes, and users receive notifications upon completion. A key highlight is its unique function to produce tables in addition to text outputs, enhancing its utility for academic research. Although it excels in generating references, it lacks rigorous academic referencing, making it less ideal for high-stakes research purposes.
03:15 - 03:35

Gemini AI generates tables alongside text outputs, offering unique formatting options.

Google Natural Language Processing (NLP) Research & Innovations
... 51:17
Josh Woodward: Google Labs is Rapidly Building AI Products from 0-to-1

Sequoia Capital

1+ months ago 3K views

In the course of building AI products, finding the right market fit is as crucial as developing the right product. Focus lies on creating a seamless interaction between AI models and humans, emphasizing the shift away from traditional writing prompts towards multimodal interactions. Google Labs, where innovation thrives, is spearheading efforts to redefine human-AI interactions with projects like notebook LM and Mariner. The ultimate goal is to foster platforms that allow users to merge personal assets with AI capabilities, improving productivity and enhancing user experiences while aiming for intelligent context-driven operations.
03:29 - 03:41

Google Labs emphasizes rapid product development focused on user needs.

Google Machine Learning Research & Innovations
... 41:10
NEW Google Deep Research 2.0 AI Update (FREE!) 🤯

Julian Goldie SEO

1+ months ago 2K views

Google has introduced its new deep research AI agent, Gemini 2.0, which is designed to perform advanced research tasks that typically require a PhD-level assistant. This model offers users the ability to generate comprehensive reports by accessing the latest data from the web in minutes. It supports a variety of languages, making it accessible to a wider audience. Users can gain insights for competitive analysis, product development, and due diligence. Additionally, Gemini's feature allows for interaction with Google Docs, facilitating neat report exports and valuable information synthesis for users in various industries.
01:22 - 01:27

Accessing Gemini tool and its features for deep research agents.

Google Deep Learning Research & Innovations
... 23:40
Deep Research But Free

Prompt Engineering

1+ months ago 10K views

Google has made advanced features of its AI tool Gemini free for users, previously limited to a paid subscription. The introduction of 'deep research' allows users to access personalized AI-generated reports, competing with OpenAI's offerings. The new model includes integrations with Google apps and focuses on enterprise applications of generative AI. Insights reveal differences in the research processes of Gemini and OpenAI, emphasizing Gemini's detailed thought process and resource transparency. Overall, while Gemini offers strong capabilities, OpenAI's deep research provides more detailed and substantive reports for users willing to pay for their services.
03:00 - 04:00

Gemini deep research shows internal thought processes and modifications in research planning.

Google Natural Language Processing (NLP) Research & Innovations
... 9:33
🦉 OWL Fully FREE Manus Alternative General AI Agent Tested locally FROM CAMEL-AI

Rithesh Sreenivasan

1+ months ago 4K views

A new AI agent named Owl from Camel AI offers an innovative framework for multi-agent collaboration and task automation. It features real-time information retrieval capabilities, leveraging online sources like Wikipedia and Google. Owl can process various data types including videos and images, automate browser tasks, and execute Python code with built-in toolkits. Users can install Owl locally via a Gradio app, allowing for interactive AI experiments. While promising, the system encounters some setup challenges needing resolutions before functioning correctly, showcasing a need for refinement in its environment setup and agent interactions.
02:07 - 02:16

Live demo showcases Owl's ability to research on Github effectively.

CAMEL-AI Machine Learning Research & Innovations
... 16:58
Free Image-to-Video AI | WAN 2.1 + LTX (March 2025 Demo)

ATELIER DESIGNA

1+ months ago 3K views

The analysis compares the performance and quality of LTX, 1.2.1, and Adobe Firefly image generation models. Emphasis is placed on their processing times and image fidelity during the rendering process. The 1.2.1 model demonstrates exceptional quality, maintaining accuracy against the original images. In comparison, LTX shows some data loss and blurriness. The review also discusses the efficiency of generating video with these models and underscores the challenges of long iteration times, particularly when operating on local machines versus cloud platforms. The importance of balance between speed and quality in AI-generated imagery is highlighted throughout the findings.
14:45 - 15:43

LTX demonstrates impressive speeds in video generation, emphasizing efficiency.

Adobe Image Generation Digital Media
... 16:58
Free Image-to-Video AI | WAN 2.1 + LTX (March 2025 Demo)

ATELIER DESIGNA

1+ months ago 3K views

The analysis compares the performance and quality of LTX, 1.2.1, and Adobe Firefly image generation models. Emphasis is placed on their processing times and image fidelity during the rendering process. The 1.2.1 model demonstrates exceptional quality, maintaining accuracy against the original images. In comparison, LTX shows some data loss and blurriness. The review also discusses the efficiency of generating video with these models and underscores the challenges of long iteration times, particularly when operating on local machines versus cloud platforms. The importance of balance between speed and quality in AI-generated imagery is highlighted throughout the findings.
14:45 - 15:43

LTX demonstrates impressive speeds in video generation, emphasizing efficiency.

Adobe Image Generation Digital Media