Wild Intelligence

Building your AI house on sand? The perils of a weak foundation Are you building your infrastructure on solid ground in the race to adopt AI, or are you setting yourself up for future challenges? A robust, scalable, and well-governed AI infrastructure is the bedrock of successful AI initiatives. Remember, a haphazardly constructed AI infrastructure can lead to a cascade of problems: ? Data silos and incompatibility: Fragmented data storage and processing systems can hinder collaboration, limit insights, and impede the development of effective AI models. ? Scalability bottlenecks: An infrastructure that can't handle the exponential growth of data and AI workloads will quickly become a barrier to innovation and progress. ? Security vulnerabilities: A weak infrastructure is an open invitation to cyberattacks, data breaches, and reputational damage. ? Governance gaps: A lack of clear policies and procedures for data management, AI development, and ethical considerations can lead to compliance issues, legal risks, and public backlash. By proactively investing in a robust, scalable, and well-governed AI infrastructure, you can: ? Unlock the full potential of AI: A solid foundation enables you to leverage AI's capabilities to their fullest extent, driving innovation, efficiency, and competitive advantage. ? Mitigate risks and ensure business continuity: A resilient infrastructure protects your organization from disruptions, security breaches, and compliance issues. ? Build trust with stakeholders: A well-governed AI infrastructure demonstrates your commitment to responsible AI practices, fostering trust with customers, employees, and regulators. ? Future-proof your AI investments: A scalable infrastructure can adapt to emerging technologies and evolving business needs, ensuring that your AI initiatives remain relevant and effective in the long run. Don't let the allure of AI's promise blind you to the critical importance of a strong foundation. By prioritizing the development of a robust, scalable, and well-governed AI infrastructure, you can build a future-proof platform for success in the age of AI. --- ?? Repost to help your network level up! ?? Want to go beyond the headlines? Get on the list: https://lnkd.in/dZRNeyAE

#AISafety is crucial to your organization. This week, we are curious about which AI-powered cyber threat poses the most significant challenge to organizations. Join our weekly #WildIntelligencePoll to discuss the biggest challenges in AI safety in a hybrid work environment. Weigh in with your vote below?? #AI #safety #threatintelligence #cybersecurity

#Mistral AI Mixtral?, and closed-source models from OpenAI, Google, and other third-party providers. As a leading company in mobility and delivery, #Uber also has considerable domain-specific knowledge that can improve LLM performance for these applications. Uber incorporates this domain-specific knowledge through RAG (Retrieval Augmented Generation). Link: https://lnkd.in/dRguJQBh. Case study exploration: https://lnkd.in/dWtFGpjh. #AI #LLM #OpenSource #RAG

??? Poll: What's the biggest obstacle to ensuring responsible AI? A) Lack of clear ethical guidelines and standards for AI development. B) Difficulty in mitigating bias and ensuring fairness in AI systems. C) Balancing innovation with ethical considerations in AI applications. D) Lack of public awareness and understanding of AI ethics. What do you think? ?? Vote and share: https://lnkd.in/dyVpsYXk.

#Meta’s open-source Llama models are increasingly being used by a broad community of researchers, entrepreneurs, developers, and government bodies. "We are pleased to confirm that we are also making Llama available to U.S. government agencies, including those working on defense and national security applications, and private sector partners supporting their work." Link: https://lnkd.in/gq4hYHVZ. #AI #OpenSource #Llama

?? The algorithm’s bias | Episode 5, The Wild Intelligence Podcast How can we ensure AI algorithms make fair decisions and avoid perpetuating societal biases? Summary: This episode focuses on the potential dangers of bias in AI systems. We argue that AI models trained on biased data can perpetuate inequalities and lead to unfair outcomes. For example, AI used for loan approvals could unfairly discriminate against certain groups based on historical data. We also highlight the importance of using diverse datasets to mitigate bias and promote inclusivity. We emphasize the need for transparency and responsible data collection practices to build trust in AI and ensure its fair and ethical application. The questions to ask: ? What are the challenges of biased training data in AI, and how can we address them? ? How can we ensure transparency and trust in AI systems, especially in sensitive fields like healthcare? ? How does data diversity impact the accuracy, fairness, and creative potential of AI models? This conversation was auto-generated with AI. It is an experiment with you in mind. The purpose of this first podcast series is to consider how we can reverse the current rising tide of threats by shifting our conception of systems adapted to the new paradigm. Looking forward to your feedback. I appreciate your support and engagement. ?? Listen here: https://lnkd.in/d7P-y4MV. ?? Save and share this post.

#Microsoft AI for Startups Artificial intelligence is the most consequential innovation we have seen in a generation. It has the transformative power to address society’s most complex problems and create a whole new economy—much like what we saw with the advent of the printing press, electricity, and the internet. Link: https://lnkd.in/gz67k9XY. #AI #LLMs #AIsafety

Wild Intelligence [Extended]: AI’s future in threat intelligence: towards proactive cyber defense Imagine a world where cyberattacks are anticipated and neutralized before they even strike. A world where vulnerabilities are patched before they can be exploited, and cyber threats are identified and mitigated before they can cause harm. This is the promise of proactive cyber defense, a future where AI takes center stage in the ongoing battle against cybercrime. AI is poised to revolutionize threat intelligence, enabling a paradigm shift from reactive to proactive security. #AI #ArtificialIntelligence #Safety #Security #ExplainableAI #HumanInTheLoop #AIethics --- ?? Repost to help your network level up! ?? Want to go beyond the headlines? ? Scroll up & ‘Subscribe to newsletter’

?? The genesis: a flawed utopia Does the seemingly perfect world hint at a darker reality? Summary: We explore the potential impact of artificial intelligence on humanity, examining both the optimistic and pessimistic possibilities. We suggest a future where AI could drastically improve efficiency and quality of life but warn of the potential consequences of becoming overly reliant on AI. We argue that this dependence could lead to the erosion of human autonomy, social cohesion, and critical thinking. We conclude by emphasizing the importance of striking a balance between AI's potential benefits and the need to maintain human agency, critical thinking, and social connections. The questions to ask: ? What are the potential benefits and drawbacks of an AI-driven utopia? ? How can we prevent AI from eroding human autonomy and social cohesion? ? What are the necessary trade-offs to ensure that AI enhances, rather than diminishes, human experience? This conversation was auto-generated with AI. It is an experiment with you in mind. The purpose of this first podcast series is to consider how we can reverse the current rising tide of threats by shifting our conception of systems adapted to the new paradigm. Looking forward to your feedback. I appreciate your support and engagement. ?? Listen here: https://lnkd.in/e6rFpfDg. ?? Save and share this post.

?? OpenAI releases the search function on ChatGPT. #AIAgent update of the week Introducing ChatGPT search Read on: https://lnkd.in/gTN-iRhb. #OpenAI #ChatGPT #agent