🤖 It’s Too Expensive to Fight Every AI Copyright Battle

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In today’s Daily Report:

• 🗣️It’s Too Expensive to Fight Every AI Copyright Battle

• ⚙️LLMs Learn to Improve Their Own Reasoning Abilities

• 🛠Trending Tools

• 🥪Brief Bites

• 💰Funding Frontlines

• 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

GETYY IMAGES

🗣️It’s Too Expensive to Fight Every AI Copyright Battle

Getty Images CEO Craig Peters recently told CNBC that he’s learned it’s simply way too expensive to fight every AI copyright battle.

Key Details:

• Getty Images is a well-known photo licensing company that creates, captures, and preserves visual content for consumers and businesses.

• In 2023, Getty Images sued Stability AI for developing an image generator that was trained on “more than 12 million photographs from Getty Images without permission from or compensation to Getty Images.”

• “It’s extraordinarily expensive,” Peters told CNBC. “We can’t pursue all the infringements because the courts are just prohibitively expensive. We’re spending millions and millions of dollars on just one court case.”

• “We’re not against competition,” said Peters. “But AI Scraping is just unfair competition; it’s theft!”

Why It’s Important:

• AI firms argue that AI Systems fall under Fair Use through Transformative Use: adding new expression, meaning, or messaging to the original works. In other words, AI Systems learn patterns from existing content to generate new content significantly different from the original works.

• Even well-resourced companies struggle to fund the legal battles required to enforce what they believe is copyright infringement. AI firms recognize that most artists and creators can’t afford the legal costs associated with fighting them. This dynamic creates a kind of “legal shield by cost,” allowing AI firms to continue innovating at a rapid pace while operating in the gray area of Copyright Law.

🩺 PULSE CHECK

AI RESEARCH

⚙️LLMs Learn to Improve Their Own Reasoning Abilities

Researchers at the University of California, Berkeley (UC Berkeley) recently developed “INTUITOR,” which helps LLMs improve their reasoning abilities through self-guided learning.

Key Details:

• “INTUITOR” relies on Reinforcement Learning from Internal Feedback (RLIF), which enables LLMs to teach themselves complex reasoning skills using internal confidence scores.

• RLIF is comprised of four components:

  1. Learner: The LLMs

  2. Environment: The complex math problems, logical puzzles, or coding challenges the LLMs are given.

  3. Policy: The strategies the LLMs use to solve those complex math problems, logical puzzles, or coding challenges.

  4. Feedback: The internal confidence scores the LLMs generate to assess the quality of their own solutions.

• “INTUITOR” trains the LLMs to learn the optimal Policy within an Environment to obtain the maximum Feedback.

• In simpler terms, “INTUITOR” trains LLMs to get better at solving complex problems using their own confidence as a guide.

Why It’s Important:

• When developers tackle real-world coding workflows, it’s not just about writing code; it’s about testing, debugging, and refactoring that code over and over.

• “INTUITOR” helps LLMs not only generate code but also “think” like developers by constantly taking in Feedback to adjust how they generate the code.

🛠TRENDING TOOLS

🐝pxBee is a free AI-powered photo editor.

🖌️BnbIcons creates Airbnb-style isometric icons.

📦i1OX stores all your favorite AI Agents in one place.

🔍morphik extracts answers from your company docs.

☄CometAPI accesses 500+ AI models through a single API.

🧰 Browse our Always Up-To-Date AI Toolkit.

🥪BRIEF BITES

Mistral AI launched “Codestral Embed,” an embedding model that converts codebases into numerical vectors.

Anthropic announced “Voice Mode,” which allows you to have complete spoken conversations with Claude on your iOS and Android devices.

NVIDIA CEO Jensen Huang just hammered U.S. export controls for forcing his company to leave over $2.5 billion in revenue on the table this quarter.

CNBC’s Jim Cramer explained why AI developments are “the most important force out there” when it comes to future job creation and job displacement.

Synthesia Co-Founder Matthias Niessner unveiled “SpAItial,” a new company creating intelligent systems to natively understand and generate 3D worlds.

💰FUNDING FRONTLINES

• Rumi raised a $4.7M Pre-Seed Round to turn Passive Media into Interactive AI Experiences.

• Context secured an $11M Seed Round to build an AI-Powered Office Suite.

• Rillet landed a $25M Series A for an AI-Supported General Ledger that crafts accurate financial statements.

💼WHO’S HIRING?

• EarnIn (Mountain View, CA): Machine Learning Intern, Infra., Fall 2025

• HappyRobot (San Francisco, CA): Product Data Analyst, Entry-Level

• Perplexity AI (London, UK): AI Systems Engineer, Mid-Level

• Hayden AI (San Francisco, CA): Senior Software Engineer, Fleet, Senior-Level

📒FINAL NOTE

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