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How Hebbia is building AI for in-depth research

Fast Company Tech

A New York-based AI startup called Hebbia says it’s developed techniques that let AI answer questions about massive amounts of data without merely regurgitating what it’s read or, worse, making up information. Hebbia, says Sivulka, has approached the problem with a technique the company calls iterative source decomposition.

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3 useful tips to help your early stage startup acquire paying enterprise customers

The Next Web

We’ve experimented with both organic and paid search and found (across every search term we care about) that organic is 3x more effective and converts 2x more customers. Buying websites that are crowding search terms you care about – We bought a website that ranked number one in a search term we care about for $500.

Tips 141
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Google isn’t ready to turn search into a conversation

The Verge

The future of search is a conversation — at least, according to Google. A recent research paper from a quartet of Google engineers titled “Rethinking Search” asks exactly this: is it time to replace “classical” search engines, which provide information by ranking webpages, with AI language models that deliver these answers directly instead?

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Hebbia wants to make Ctrl-F (or Command-F) actually useful through better AI

TechCrunch

The group, using the new deep learning techniques and models available today, is trying to push the boundaries of what knowledge graphs, semantic analysis, and AI can ultimately do for human productivity. Sivulka was inspired to focus on this domain from witnessing his friends’ experiences working in the knowledge economy. Tell me about it).

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The 10 most innovative data science companies of 2025

Fast Company Tech

It has partnered with government agencies, financial institutions, and cybersecurity firms in more than 70 countries and more than 250 law enforcement agencies worldwide. They include Unstructured, which helps organizations from Fortune 10 companies to the U.S,

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Clearview AI hit with sweeping legal complaints over controversial face scraping in Europe

The Verge

The complaints filed in France, Austria, Greece, Italy, and the United Kingdom say that the company’s method of documenting and collecting data — including images of faces it automatically extracts from public websites — violates European privacy laws. Privacy International say regulators have three months to respond to the complaints.

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What Is Retrieval-Augmented Generation?

NVIDIA AI Blog

Judges hear and decide cases based on their general understanding of the law. Sometimes a case — like a malpractice suit or a labor dispute — requires special expertise, so judges send court clerks to a law library, looking for precedents and specific cases they can cite. So, What Is Retrieval-Augmented Generation? That builds trust.