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- 🤖 New Search Engine Turns the Web Into a Database
🤖 New Search Engine Turns the Web Into a Database
PLUS: Stanford Publishes 2024 Index AI Report, Adobe Research Generates AI-Powered Sounds for Videos

Welcome back AI enthusiasts!
In today’s Daily Report:
🔍New Search Engine Turns the Web Into a Database
🌲Stanford Publishes 2024 Index AI Report
🔊Adobe Research Generates AI-Powered Sounds for Videos
🛠Trending Tools
💰Funding Frontlines
💼Who’s Hiring?
Read Time: 3 minutes
🗞RECENT NEWS
AI STARTUPS
🔍New Search Engine Turns the Web Into a Database

Image Source: Exa/“Introducing ‘Websets’: A Breakthrough Toward Perfect Web Search”/Screenshot
Exa just unveiled “Websets,” a new search engine that turns the chaotic web into a structured database.
Key Details:
“Websets” is powered by the world’s first Web-Scale Embedding-Based Search Engine, which is an AI system trained to organize the whole web by meaning.
Here’s a concise breakdown of how “Websets” works:
Crawling The Web: It crawls the web, extracting information from billions of web pages.
AI Processing: The extracted information is processed by an AI system that identifies content relevant to your search (e.g., names, emails, or job titles).
Database Creation: The AI system organizes the content relevant to your search into a structured database.
For example, you could ask “Websets” to find USC Marshall School of Business alumni working at a startup in Silicon Valley.
Why It’s Important:
“Since I was a kid, I dreamt of what it’d be like to have the whole world’s data at my fingertips,” said Exa CEO Will Bryk.
It’s essentially a search engine that transforms search results into a detailed Microsoft Excel spreadsheet.
🩺 PULSE CHECK
Does “Websets” threaten Google Search?Vote Below to View Live Results |
AI TRENDS
🌲Stanford Publishes 2024 Index AI Report

Image Source: Canva’s AI Image Generators/Magic Media
Stanford University (“Stanford”) published their 2024 Index AI Report to provide unbiased, rigorously vetted, and broadly sourced data on the latest AI developments.
Key Details:
Here’re the top three takeaways:
66% of people anticipate that AI will significantly impact their lives within the next few years. However, 52% of people express feeling more concerned than excited about AI.
The training costs of AI models have reached unprecedented levels. For example, OpenAI’s GPT-4 required $78 million of computing power to train, while Google’s Gemini Ultra required $191 million to operate.
Generative AI (GenAI) investments have skyrocketed, nearly octupling since 2022 to $25.2 billion. Major players include OpenAI, Anthropic, Hugging Face, and Inflection AI.
Why It’s Important:
People’s mixed feelings toward AI highlight the urgent need for transparent and ethical AI development to build trust and mitigate fear.
Tech Giants will likely commit upwards of $600 billion in Capital Expenditures (CapEx) for AI infrastructure this year, underscoring the glaring short-term mismatch between investments in GenAI and the technology’s current revenue.
AI RESEARCH
🔊Adobe Research Generates AI-Powered Sounds for Videos

Image Source: Adobe Research/“Video-Guided Sound Generation with Multimodal Controls”/Screenshot
Sound designers often create sound effects from various sources that may not resemble the original video. For example, they use crinkling paper for a warm fire, a coconut shell for horse hooves, or a celery stick snapping for breaking bones. So, what if you could streamline this process?
Adobe Research developed “MultiFoley,” a tool that generates high-quality sound effects for videos through text prompts or reference audio.
“MultiFoley” can create clean sounds (e.g., skateboard wheels spinning without wind noise) or whimsical sounds (e.g., making a lion’s roar sound like a cat’s meow).
Here’s a concise breakdown of how “MultiFoley” works:
User Input: Users provide a video with a text prompt like “a squeaky door opening in a haunted house.”
Video Analysis: It analyzes the video, extracting visual elements like object movements or lighting conditions.
Sound Synthesis: It accesses a vast dataset of sound effects to generate sounds that match the video.
Sound Manipulation: The generated sounds are further refined to match the overall visual elements of the video.
User Output: It creates high-quality sound effects that seamlessly integrate with the video to enhance the viewing experience.
🛠TRENDING TOOLS
🪧MukuAI turns URLs into engaging ads.
🛒LuneAI finds LLMs tailored for specific jobs.
💨Shadow completes your post-meeting tasks for you.
🧠SuperMemoryAI is a second brain for all your saved content.
🦍ideaape collects insights on any brand, product, or culture from Reddit.
🔮Browse our always Up-To-Date AI Tools Database.
💰FUNDING FRONTLINES
Lica lands a $4M Seed Round to build an AI tool for product presentations.
Cadenza creates a $50M Early Stage AI Venture Fund focused on enterprise use cases.
Tenstorrent raises a $693M Series D to build workstations to run, test, and deploy AI models.
💼WHO’S HIRING?
Leidos (Remote): LLM Research Scientist Intern, Summer 2025
Sabre Corp. (Dallas, TX): Software Engineering Intern, Summer 2025
Mind Company (San Francisco, CA): Software Engineering Intern, Summer 2025
T-Mobile (Atlanta, GA): Software Engineer Intern, Digital Orders, Summer 2025
NVIDIA (Santa Clara, CA): Research Scientist, Autonomous Vehicles, New College Grad 2025
🤖PROMPT OF THE DAY
POTENTIAL CUSTOMERS
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📒FINAL NOTE
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