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AI Weekly Roundup: Emotional Intelligence, Legal Precedents, and Robotic Autonomy

This week in AI has been marked by significant strides in emotional intelligence, legal rulings that could shape the future of AI training, and advancements in robotic autonomy. Here's a breakdown of the top stories.

1. The Rise of Empathetic AI

AI models are increasingly being designed to understand and respond to human emotions. Open-source group LAION released EmoNet, a suite of tools aimed at interpreting emotions from voice and facial expressions. Additionally, benchmarks like EQ-Bench are assessing AI models' abilities to comprehend complex emotions and social dynamics. Notably, AI models from OpenAI, Microsoft, Google, and others have outperformed humans in psychometric tests for emotional intelligence, averaging over 80% accuracy compared to the human average of 56%. Read more

2. Anthropic's Legal Victory and Ongoing Challenges

In a landmark decision, a U.S. federal judge ruled that Anthropic's use of legally purchased and digitised books to train its AI models qualifies as "exceedingly transformative" under fair use doctrine. However, the company still faces a trial over allegations of using pirated books in its training data. This ruling sets a precedent for AI companies regarding the use of copyrighted materials. Read more

3. Google's Gemini Model Enhances Robotic Autonomy

Google DeepMind has introduced an optimised on-device version of its Gemini Robotics AI model, enabling robots to operate without internet connectivity. This advancement allows robots to perform diverse physical tasks and adapt to new situations with minimal demonstrations. The model has been successfully adapted to various robotic platforms, including Apptronik's humanoid Apollo and the dual-arm Franka FR3. Read more

4. Harvey AI's Rapid Growth

Legal tech startup Harvey AI has seen its valuation soar from $3 billion to $5 billion within four months, following a $300 million Series E funding round. The company's AI solutions assist lawyers in reviewing documents and drafting contracts, and it's now expanding into other professional services like tax accounting. Harvey AI's annualised revenue run-rate reached $75 million in April, up from $50 million earlier in the year. Read more

5. LinkedIn's AI Writing Assistant Faces Adoption Challenges

LinkedIn CEO Ryan Roslansky acknowledged that the platform's AI-powered writing assistant hasn't gained the expected popularity. Users are hesitant to use AI-generated suggestions for polishing posts due to concerns about authenticity and potential backlash. Despite this, there's been a significant increase in jobs requiring AI-related skills and users adding AI skills to their profiles. Read more

Our Take

The integration of emotional intelligence into AI models signifies a pivotal shift in how businesses can interact with customers and clients. As AI becomes more adept at understanding human emotions, companies can enhance customer experiences and build stronger relationships. However, the legal landscape remains complex, as seen in Anthropic's case. Businesses must navigate these challenges carefully, ensuring ethical and legal compliance while leveraging AI's capabilities. The advancements in robotic autonomy and the rapid growth of companies like Harvey AI further underscore the transformative potential of AI across various industries.

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