🤖 Microsoft’s OmniParser Turns Any AI into a Computer Agent

PLUS:🔥 Perplexity AI Just Changed the Research Game

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Welcome to AI Entrepreneurs

AI is transforming industries at an unprecedented pace, from game-changing research tools like Perplexity’s Deep Research to revolutionary automation with Microsoft’s OmniParser V2. Robots are dancing, AI models are outperforming expectations, and video generation is reshaping content creation. As Anthropic, DeepSeek, and OpenAI battle for dominance, AI-driven healthcare and marketing innovations are redefining the future. Stay ahead with the latest breakthroughs shaping tomorrow’s world.

PERPLEXITY

Perplexity AI: Deep Research - Your AI Research Assistant is HERE!

Perplexity AI just dropped a game-changer called Deep Research. This new feature is like having a team of expert researchers at your fingertips, churning out comprehensive reports on any topic in minutes. It's available to everyone, with free users getting 5 queries a day and Pro users enjoying a whopping 500.

Key points:
  • Performs dozens of searches and analyzes hundreds of sources in 1-2 minutes

  • Excels at expert-level tasks across finance, marketing, tech, and product research

  • Allows easy export to PDF or Perplexity Pages for sharing

  • Claims impressive performance on industry benchmarks (though verification is needed)

  • Available on web now, with iOS, Android, and Mac versions coming soon

Here's the kicker: Deep Research employs advanced AI to iteratively search, read, and reason through information, refining its approach to produce clear, comprehensive reports. This innovation revolutionizes research and information gathering, offering businesses, students, and professionals faster decision-making, informed strategies, and a competitive edge in information-driven fields.

MICROSOFT

OmniParser V2: Microsoft's AI Agent for Smarter Automation

Microsoft’s OmniParser V2 turns any large language model (LLM) into a GUI automation agent, enabling models like GPT-4o and Sonnet 3.5 to understand screen elements and interact with them. Completely free and open source, it enhances software testing, accessibility, and task automation by converting UI screenshots into structured, LLM-readable elements. The latest version improves detection accuracy, speeds up processing by 60%, and achieves state-of-the-art performance in screen interaction benchmarks.

Key Features:
  • Transforms LLMs into interactive agents for GUI automation.

  • Boosts accuracy and efficiency, reducing latency by 60%.

  • Supports multiple AI models, including OpenAI, DeepSeek, Qwen, and Anthropic.

  • Includes OmniTool, a dockerized system for seamless deployment.

  • Built with responsible AI safeguards to ensure ethical use.

OmniParser V2 ‘tokenizes’ UI screenshots, converting pixels into structured elements that LLMs can interpret for action planning and execution. This enables faster, smarter automation, making AI-driven software testing, UI navigation, and accessibility improvements more precise and efficient. With AI-powered GUI agents becoming more sophisticated, this technology marks a major step toward fully autonomous digital assistants.

UNITREE

Unitree G1: Robots ARE Dancing...And They're Coming For Your Gig!

Unitree just dropped a bombshell in the robotics world with their G1 humanoid. This bad boy isn't just walking and talking - it's busting moves that'll make you question your own dance skills. Thanks to a cutting-edge algorithm, the G1 can learn and execute any dance with a fluidity that's eerily human-like. It's not just mimicking; it's mastering.

This isn't just cool tech - it's a game-changer. The robotics community is buzzing, with people throwing out dance challenges left and right. We're talking about robots potentially outdancing humans, folks. It's sparking conversations about the future of entertainment, human-robot interactions, and where this tech could take us next. The G1 isn't just dancing; it's cha-cha-ing its way into a new era of robotics.

AI BYTES

YouTube Shorts Gets an AI Boost with Veo 2

YouTube is integrating Google’s Veo 2 AI video generator into Shorts, letting creators add AI-generated backgrounds and standalone video clips using simple text prompts. With faster rendering and customizable styles, the tool enhances creative possibilities while ensuring transparency through invisible SynthID watermarks. Currently available in the U.S., Canada, Australia, and New Zealand, the feature will expand globally, positioning YouTube as a key player in AI-driven content creation.

Anthropic's AI Power Play: Smarter, Faster, More Adaptive

Anthropic is set to launch a hybrid AI model that merges traditional language processing with advanced reasoning, optimized for enterprise coding tasks. With adjustable computing power and superior handling of complex codebases, it outperforms OpenAI’s o3-mini in practical programming. Betting big on AI APIs, Anthropic projects up to $34.5 billion in revenue by 2027, aiming to overtake OpenAI as market leader.

DeepSeek-R1: OpenAI on NOTICE - The AI Bargain is HERE!

DeepSeek-R1 has emerged as a powerful new AI model, challenging industry giants like OpenAI with its impressive performance and cost-effectiveness. Launched by Chinese startup DeepSeek, R1 has quickly gained attention for its strong reasoning capabilities and efficiency, operating at just a fraction of the cost of traditional models. The model excels in tasks requiring logical inference and chain-of-thought reasoning, performing well in benchmarks for mathematics, coding, and complex problem-solving.

AI HEALTHTECH INSIDER: ISSUE # 35

Wearable AI Predicts IBD Flares

This week’s edition of AIHealthTech Insider dives into AI’s role in revolutionizing chronic disease management. From wearables predicting IBD flare-ups weeks in advance to AI-driven glucose monitoring redefining diabetes care, cutting-edge innovations are shaping the future of healthcare.

Stay ahead with the latest insights shaping the future of medicine—subscribe now!

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AI CREATIVITY

DIY: Create an Interactive Tic-Tac-Toe Game on ChatGPT Canvas

Follow these simple steps to build and play a Tic-Tac-Toe game in real time using the ChatGPT Canvas feature:

  1. Log into ChatGPT, select the o1 model, and open the Canvas feature

  2. Input the Tic-Tac-Toe Code

  3. Render the Game and Play

    jsx

    Copy

    import React, { useState } from 'react'; function TicTacToe() { const [board, setBoard] = useState(Array(9).fill(null)); const [isXNext, setIsXNext] = useState(true); const handleClick = (index) => { if (board[index] || calculateWinner(board)) return; const newBoard = board.slice(); newBoard[index] = isXNext ? 'X' : 'O'; setBoard(newBoard); setIsXNext(!isXNext); }; const calculateWinner = (squares) => { const lines = [ [0, 1, 2], [3, 4, 5], [6, 7, 8], [0, 3, 6], [1, 4, 7], [2, 5, 8], [0, 4, 8], [2, 4, 6], ]; for (let i = 0; i < lines.length; i++) { const [a, b, c] = lines[i]; if (squares[a] && squares[a] === squares[b] && squares[a] === squares[c]) { return squares[a]; } } return null; }; const winner = calculateWinner(board); const status = winner ? Winner: ${winner} : Next player: ${isXNext ? 'X' : 'O'}; return ( <div> <h2>{status}</h2> <div className="board"> {board.map((_, index) => ( <button key={index} onClick={() => handleClick(index)}>{board[index]}</button> ))} </div> </div> ); } export default TicTacToe;

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