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Our spotlight today focuses on Mistral AI's latest innovation—Codestral Mamba 7B.

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TODAY’S AI SECRET:

• Mistral AI launches a new model specialized in code generation.

• Research reveals AI leadership perceived more positively.

• Daily trending & featured AIs boost your career and business.

• Apple denies its OpenELM model powers Apple Intelligence amid YouTube controversy.

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TODAY’S AI WORLD

• AI Models Baffled by Simple Math - Comparing 9.90 and 9.11, Generative AI like ChatGPT shows difficulty with basic arithmetic.

• Make America First in AI - Allies of Donald Trump have drafted a comprehensive executive order aiming to enhance military AI technology while reducing AI development regulations.

• Cropin Introduces Forecasting Tool - AI startup Cropin Technology Solutions unveils Sage, utilizing Google's Gemini AI to predict future agricultural yields for 13 essential crops.

• Anthropic and Menlo Ventures Launch $100 Million AI Fund - The VC firm’s new fund will back companies using Anthropic products with money, advice, and credits.

NEW LAUNCH

Mistral AI launches a new model specialized in code generation.

Mistral AI has launched Codestral Mamba 7B, a revolutionary code language model that promises to reshape the landscape of AI-driven coding solutions. This model leverages the advanced Mamba2 architecture to deliver significant improvements in coding productivity and efficiency.

The Details:

• Innovative Architecture: Codestral Mamba 7B utilizes the Mamba2 architecture, offering linear time inference and the ability to handle infinitely long sequences, which is crucial for coding applications.

• High Performance: This model matches the performance of leading Transformer-based models, making it a competitive tool for developers needing robust in-context retrieval and coding capabilities.

• Flexible Deployment: Codestral Mamba 7B supports multiple deployment options, including the use of Mistral AI's mistral-inference SDK and is available on various platforms like HuggingFace for broad developer access.

Why It Matters:

The Codestral Mamba 7B marks a significant advancement in AI-driven coding technologies. Its enhanced productivity and performance capabilities promise to streamline coding tasks, while its open-source accessibility encourages community-driven innovation and collaboration. This model not only supports developers in handling more complex tasks but also pushes the boundaries of what AI can achieve in the programming domain.

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AI RESEARCH

Research reveals AI leadership perceived more positively.

The study "Ruled by Robots" by Marina Chugunova and Wolfgang J. Luhan explores the intriguing shift in public preference towards AI decision-makers over humans in financial redistributions.

The Details:

• Public Preference for AI: Over 60% of study participants favored AI over humans for making fair financial decisions, indicating a significant trust in the impartiality of algorithms.

• Perceived Fairness of AI: Despite the introduction of potential biases, the algorithm was chosen over human decision-makers in 63.25% of scenarios, highlighting its perceived neutrality.

• Human Decisions Viewed More Favorably: While AI was often preferred for decision-making, human-made decisions were ultimately seen as more satisfactory and fair by participants.

Why It Matters:

This shift towards favoring AI decision-makers highlights crucial implications for the deployment of AI in critical sectors such as HR, finance, and public administration. Moreover, this trend prompts significant ethical and social considerations regarding the role of AI in governance and its broader societal impacts.

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APPLE

Apple denies its OpenELM model powers Apple Intelligence amid YouTube controversy.

It has been established that Apple, among other tech giants, utilized subtitles from YouTube videos to train their AI models. However, Apple has specified that its OpenELM model, although trained with this data, does not power any operational AI or machine learning features within its Apple Intelligence framework.

The Details:

• Investigation Revelation: Revealed that companies, including Apple, utilized over 170,000 YouTube video subtitles for AI training.

• OpenELM's Role: Apple's OpenELM, an open-source model, was developed not for commercial use but to aid research and the open-source community.

• Data Use Disclosure: Apple clarifies that its AI features, known as Apple Intelligence, do not employ the OpenELM model or the YouTube subtitles dataset.

Why It Matters:

The revelation about the use of such datasets raises significant questions about the boundaries of publicly sourced data in AI. While Apple positions OpenELM purely as a contribution to research, the broader implications touch on data privacy, the ethical use of AI, and how transparency in AI processes can impact public trust and the future of AI governance.

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