Welcome back AI enthusiasts!
In todayâs Daily Report:
đłPerplexity AI Closes a $500 Million Funding Round
đEleventh Day of â12 Days of OpenAIâ Event
đ§ȘAI Agents Tackle Scientific Discovery
đ Trending Tools
đ°Funding Frontlines
đŒWhoâs Hiring?
Read Time: 3 minutes
đRECENT NEWS
PERPLEXITY AI
đłPerplexity AI Closes a $500 Million Funding Round
Image Source: âTechCrunch Disrupt 2024 (TCD24)â/Kimberly White/Getty Images for TechCrunch/CC BY 2.0
A free AI-powered Answer Engine called Perplexity AI raised $500 million at a $9 billion valuation.
Key Details:
Perplexity AI is âa research partner that saves you valuable time by delivering the precise knowledge you need.â
Google Search has been the dominant Search Engine for decades, processing roughly 8.5 billion search queries per day.
However, AI-powered Answer Engines threaten this dominance by providing fast, accurate, and unbiased answers to your questions with citations.
In contrast, Google Search lists websites that may contain relevant information to your search queries.
Answer Engines are eliminating the hassle of sifting through endless websites to find answers to your questions.
âThe whole world is searching for answers, and this Answer Engine is showing us a smarter way to find them,â said Perplexity AI CEO Aravind Srinivas.
So, why are Answer Engines becoming more popular? In the last two decades, the average humanâs attention span has decreased from 12 seconds to less than 8 seconds. Gen Z favors instant gratification, seeking quick access to answers.
Why Itâs Important:
So, why is Google Search not doing this? Itâs built on driving traffic to other websites. The more you visit a website, the more Google Search claims credit for it. This credit allows Google Search to charge advertisers higher fees to get more clicks, improving Googleâs margins.
As Jeff Bezos famously said, âYour margin is my opportunity.â Perplexity AI is capitalizing on the flawed aspects of Google Searchâs business framework.
đ©ș PULSE CHECK
Do you think Perplexity AI threatens Google Search?
OPENAI
đEleventh Day of â12 Days of OpenAIâ Event
Image Source: OpenAI/YouTube/âWork with Apps-12 Days of OpenAI: Day 11â/Screenshot
OpenAI showcased a series of enhancements to ChatGPTâs Desktop App to make it less of a conversational chatbot and more of an Agentic tool.
Key Details:
The â12 Days of OpenAIâ event involves 12 livestreams across 12 days of âa bunch of new things, big and small.â
ChatGPTâs Desktop App can seamlessly integrate with various third-party platforms, including Quip, Notion, and Apple Notes.
ChatGPTâs Advanced Voice Mode can also work with these third-party platforms, allowing you to âtalk to your documents.â
âAs our AI models get increasingly powerful, ChatGPT will become more and more Agentic,â said OpenAI CPO Kevin Weil. âItâs about seeing, understanding, and automating your work.â
Agentic AI is all about the autonomy to make decisions and take action. Itâs like having a virtual co-worker who can think, reason, and adapt to changing circumstances without constant guidance.
Why Itâs Important:
By integrating ChatGPTâs Desktop App into widely used third-party platforms, OpenAI lowers the barrier to AI adoption.
These integrations ensure anyone can access ChatGPT without switching between different platforms, minimizing workflow disruptions.
AI RESEARCH
đ§ȘAI Agents Tackle Scientific Discovery
Image Source: Canvaâs AI Image Generators/Magic Media
One of the most significant challenges in scientific research is finding effective ways to organize, interpret, and utilize data to drive new scientific discoveries. As scientific knowledge grows, it becomes more difficult for scientists to analyze all that data to uncover hidden connections.
Researchers at the MIT Laboratory for Atomistic and Molecular Mechanics (LAMM) created âSciAgents,â a framework that enables multiple AI Agents to organize relationships between scientific concepts by leveraging Graph Reasoning.
In other words, âSciAgentsâ deploys AI Agents to explore vast amounts of scientific information, identify patterns, and generate new hypotheses that lead to scientific discoveries. The AI Agents each specialize in specific domains of scientific research.
Graph Reasoning refers to a technique where scientific concepts are represented as Graphs. The Graphs are composed of nodes (e.g., genes, elements, or particles) and edges (i.e., the relationships between nodes). âSciAgentsâ can understand all the scientific concepts represented as Graphs. By leveraging Graph Reasoning, the AI Agents can effectively explore vast amounts of scientific information in half the time as a group of scientists sifting through piles of data and literature.
đ TRENDING TOOLS
đ±TempoLabs builds React Apps 10x faster with AI.
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đLesson22 enables you to skip readings and start learning.
đ„Tem.Polar finds your vibe, mood, or idea to generate music.
đ„ŠSpinachAI turns your meetings into notes, actions, insights, and results.
đźBrowse our always Up-To-Date AI Tools Database.
đ°FUNDING FRONTLINES
đŒWHOâS HIRING?
Salesforce (Dallas, TX): Data Analyst Intern, Summer 2025
Amazon (Seattle, WA): SDEI Intern, DynamoDB, Summer 2025
NEXJE (Ann Arbor, MI): Frontend Development Intern, Summer 2025
RapidSOS (Remote): Implementation Engineering Intern, Summer 2025
NVIDIA (Santa Clara, CA): Developer Technology Intern, AI, Summer 2025
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DIGITAL MARKETING
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Product or Service = [Insert Here]
Target Audience = [Insert Here]đFINAL NOTE
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