⚙️ Legislation enters AI...

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Good morning. The EU's groundbreaking AI legislation is reshaping global AI regulation. Explore the details of this historic agreement and its impact on innovation and fundamental rights in our newsletter today.

In today’s newsletter:

• 🌍 EU Finalizes Landmark AI Legislation

• 🇮🇳 OpenAI Expands in India

• 🇺🇸 Google's AI Note-Taking App Debuts in America

🌍 EU Finalizes Landmark AI Legislation: A Global First

In a historic development, EU lawmakers have reached a political agreement on a comprehensive framework to regulate artificial intelligence, marking a global first. The deal, finalized after extensive negotiations, introduces a risk-based approach to AI regulation. It includes prohibitions on AI applications like biometric categorization based on sensitive characteristics, untargeted scraping for facial recognition databases, and emotion recognition in workplaces and educational institutions. Strict safeguards limit law enforcement's use of remote biometric identification, requiring judicial authorization for specific situations. The legislation also addresses high-risk and general-purpose AIs and imposes obligations on AI systems that could potentially harm health, safety, or fundamental rights. It introduces mandatory impact assessments for high-risk sectors, transparency requirements, and regulatory sandboxes for startups. Penalties for non-compliance are significant, with fines up to €35 million or 7% of global turnover. The law, which excludes military applications and non-professional AI use, aims to balance innovation with fundamental rights and European values. Formal adoption of the final text is expected soon, with phased enforcement commencing as early as 2026. Click the video below to learn more about what this means for you 👇️ 

🇮🇳 OpenAI Expands in India with Ex-Twitter Exec at Helm

OpenAI is set to deepen its presence in India by working with Rishi Jaitly, former head of Twitter India, as a senior advisor. Jaitly's role involves liaising with the Indian government on AI policy and helping OpenAI understand the local regulatory landscape. While OpenAI has no official presence in India apart from a recently approved trademark, this move signifies a strategic expansion in one of the world's largest internet markets. OpenAI's CEO, Sam Altman, had previously met with Indian Prime Minister Narendra Modi, highlighting the company's interest in the region. Jaitly's extensive experience in the tech industry, including leadership roles at Google and Twitter, positions him well to guide OpenAI's initiatives in India. Despite some leadership changes at OpenAI, the company's focus on India reflects its recognition of its significant potential for AI development and innovation. The Indian government has indicated a preference for international collaboration over strict AI regulations, presenting an opportunity for OpenAI to grow its influence in the country.

🇺🇸 NotebookLM: Google's AI Note-Taking App Debuts in America

Google has announced the US release of its AI-assisted note-taking app, NotebookLM, for users over 18. The app incorporates Google’s new large language model, Gemini Pro, and offers advanced document understanding and reasoning capabilities. NotebookLM focuses solely on its content, allowing it to generate summaries and suggest follow-up questions based on uploaded documents. The app has been updated with tools for organizing notes into structured writing projects, such as outlines or marketing plans, and can suggest actions based on user activity. Google has also introduced a new noteboard space for pinning quotes and notes and improved functionality for managing notes and sources, including PDF and copied text support. The app’s capacity has been expanded to include up to 20 sources, each allowing up to 200,000 words. Initially introduced at Google I/O as Project Tailwind, NotebookLM is aimed at helping students organize lecture notes and coursework. Despite its potential, given Google’s history of discontinuing experimental projects, concerns lingervity about its longe.

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1. Elon Musk's xAI startup has fully rolled out its AI chatbot Grok to all U.S. Premium+ subscribers, with plans to expand to global users by early 2024. The chatbot's impact on X's revenue, primarily driven by advertising, remains uncertain amid dwindling advertiser support. X's future depends on the success of its Premium+ subscriptions as ad revenue continues to decline.

2. The UK's Competition and Markets Authority (CMA) is investigating the relationship between Microsoft and OpenAI for a potential "relevant merger situation" after Microsoft gained a board seat in OpenAI. This scrutiny follows concerns about the impact of their close collaboration on AI market competition.

3. When asked explicitly not to be biased, Anthropic's researchers found that their AI model Claude 2.0 significantly reduced discrimination in decision-making scenarios. By appending pleas to prompts and instructing the AI to ignore protected characteristics like race or gender, discrimination was nearly eliminated. This approach raises questions about systematically integrating such interventions into AI models to combat biases.

4. Silicon Valley engineers Dinghan Shen and Yuan Xue founded Trove, a SaaS platform using GPT-4 to create conversational surveys, aiming to make surveys more engaging and empathetic. Launched six weeks ago, Trove has attracted over 1,000 users, including diverse businesses, and plans to evolve into a comprehensive customer and employee experience management platform.

5. Google's Gemini AI model, touted for its multimodal capabilities, faced skepticism after a demo video was revealed to be misleading. The video, portraying seamless and intuitive interactions, was actually a compilation of carefully selected text prompts and still images, not real-time AI responses.

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The scaling of large language models (LLMs) is reflected in their increasing training costs and complexity. For instance, GPT-2, which was released in 2019, had 1.5 billion parameters and cost an estimated $50,000 to train, whereas the more recent PaLM has 540 billion parameters with an estimated training cost of $8 million.

Source: Stanford AI Index

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