Welcome back to AI Hungry, where we break down the latest developments shaping the AI landscape. This week, Meta scores a notable legal win in a copyright case over training data, but the decision leaves plenty of room for future disputes and ongoing uncertainty for the industry.
Meanwhile, Anthropic is taking a proactive approach to AI’s economic disruption, launching a major program to study and mitigate the technology’s impact on jobs and the broader economy. Read on for the details and what it all means for the future.
Meta Wins Copyright Case Over AI Training, But Future Legal Battles Loom
A federal judge ruled that Meta did not break copyright law when it trained its AI models on books by 13 authors without their permission. The judge found that the authors did not provide enough evidence to show Meta’s actions harmed them financially, and said that using copyrighted works for AI training can be considered “transformative” and fair use if there is no proven market harm.
However, the ruling was limited to this specific case and does not mean Meta’s use of copyrighted materials is always legal. The judge emphasized that in many situations, companies will need to get permission or pay copyright holders to use their works for AI training. Legal experts say this decision could influence future lawsuits, but the debate over AI and copyright is far from settled.
Anthropic Launches Economic Futures Program to Tackle AI’s Impact on Jobs and Economy
AI startup Anthropic is starting a new initiative to study and address the economic effects of advanced artificial intelligence. The company’s CEO, Dario Amodei, has warned that AI could eliminate up to half of entry-level white collar jobs within five years. In response, Anthropic is launching the Economic Futures Program to support research on AI’s impact and find ways to reduce negative consequences.
The program will offer 20 to 50 research grants, each up to $50,000, and free access to Anthropic’s AI tools. Researchers will examine topics like AI’s effect on the economy, job markets, and how quickly businesses are adopting the technology. Anthropic will also create new forums for experts and policymakers to discuss solutions, including conferences in Washington, DC, and Europe later this year.
🤖 Google Faces the Challenge of Reinventing Advertising for the AI Era. Google is leading in AI but still relies on traditional online ads. As AI agents start making decisions, advertising will shift from targeting humans to influencing AI. Google must create a new, complex system where credibility matters more than emotional marketing. (Link)
🧩 Google Unveils Gemma 3n: A Multimodal AI Model for Mobile Devices. Google has launched Gemma 3n, a compact AI model for mobile devices that handles text, audio, image, and video inputs. It supports many languages, offers flexible model sizes, and is optimized for speed and memory efficiency. Developers can access it now. (Link)
🦾 Google DeepMind Unleashes Offline AI for Smarter, Independent Robots. Google DeepMind has launched a compact AI model that lets robots work entirely offline, nearly matching the performance of cloud-based systems. This breakthrough could make robots more reliable in warehouses and factories, even when internet connections fail. (Link)
🔍 Salesforce Agentforce 3 Brings Clarity and Control to AI Agents. Salesforce Agentforce 3 introduces a Command Center for real-time monitoring and improvement of AI agents. With new connectivity features and partner integrations, businesses can now better track, optimize, and securely connect their AI tools across various systems. (Link)
🧩 AI Companies Seek New Ways to Turn Billions of Free Users Into Revenue. About 1.8 billion people use AI tools, mostly for free, creating a big revenue gap for companies. Experts suggest premium features, subscriptions, affiliate fees, and targeted ads as ways to boost profits and cover high operating costs. (Link)
🎩 Meta Snags Top AI Talent from OpenAI Amid Bonus Controversy. Meta has hired three leading AI researchers from OpenAI, sparking debate over rumored $100 million bonuses. Meta leaders say such offers are rare and complex. The company plans to focus more on entertainment and social features in its AI strategy. (Link)
