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- The AI Control Problem Explained
☕️ Greetings. It's Monday, August 7. I'm excited to bring you some incredible updates today. Get ready to dive into the latest AI trends and discover new developments. First time reading? join here! If you like my newsletter, please share it with your team. It will help me immensely.
In his research paper, Stuart Russell discusses the limitations of the traditional "standard model" of AI development, which aims to create machines that act rationally to achieve specified objectives. The paper argues that this model becomes unworkable when AI systems are applied in the real world, as it is often challenging or even impossible to accurately and completely specify objectives, leading to the potential loss of control over AI systems.
The paper introduces a new model for AI development, proposing three key principles:
The machine's primary objective is to maximize the realization of human preferences.
The machine is initially uncertain about human preferences.
Human behavior is the ultimate source of information about preferences.
This new model embraces uncertainty about objectives and emphasizes the need for AI systems to defer to and align with human values and needs. It introduces the concept of "assistance games" where machines learn about human preferences through interaction and highlights the importance of creating AI systems that are beneficial and controllable by design.
The paper discusses the challenges and implications of this new model, including addressing issues related to social aggregation, the plasticity of human preferences, and the potential for enforcing policies for beneficial AI. It also mentions the need for a technical consensus on design templates for provably beneficial AI and considers potential solutions for managing AI-related risks and ensuring AI's positive impact on humanity.
In essence, the paper advocates for a paradigm shift in AI development towards a model that acknowledges and embraces uncertainty in human preferences, aiming to create AI systems that are robust, controllable, and aligned with human values.
Reference: "Artificial Intelligence and the Problem of Control" by Stuart Russell
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🗞️ Today’s Highlights:
THE LATEST — The AI.COM controversy
IDEAS & QUESTIONS — The AI landscape is grappling with an eating disorder crisis
RESOURCES — Google Bard vs ChatGPT: Which Is the Best AI Chatbot?
AI TOOLS — Consensus: Evidence-based answers, Faster. Consensus is a search engine that uses AI to find insights in research papers
INDUSTRY & FUNCTIONS —
🗞️ THE LATEST
ChatGPT Evolves: User-Friendly Updates, Human-like Conversations, and GPT-4 Integration Set It Apart
OpenAI is enhancing its AI chatbot, ChatGPT, with user-friendly updates, including suggested prompts and smoother conversation flows. It now mirrors human back-and-forth discussions and prevents odd responses. Plus subscribers can access GPT-4 integration, which is more advanced than GPT-3.5. While Bard and Claude AI are free competitors, OpenAI's subscription-based model adds new functionalities. Multiple file uploads and a Code Interpreter beta improve usability. Despite rising competition, ChatGPT remains a frontrunner, and ongoing refinements aim to make it even more natural and effective.
The AI.COM controversy
Earlier this year, OpenAI caused controversy by acquiring the valuable domain AI.com and connecting it to the ChatGPT web interface. However, the domain's ownership has now shifted to Elon Musk or someone else, who redirected it to X.ai, Musk's machine learning research organization. The reasons for this change remain unclear, and it's uncertain if OpenAI's plans for AI.com were abandoned or if a leasing agreement was made. X.ai's progress has been limited since its launch, and this domain ownership shift raises questions about motivations. It seems like a dispute between wealthy individuals over a prized asset, sparking discussions about the need to create new brands versus utilizing existing ones like ChatGPT. The ownership change may not affect most people, but suspicions arise about the controlling entity's intentions. The author suggests avoiding the domain's use altogether as a potential solution.
OpenAI, the creator of the state-of-the-art language model ChatGPT, has unveiled six exciting enhancements in its latest version aimed at improving user interaction.
Guided Conversations: Initiating chats with ChatGPT is now more user-friendly. The addition of prompt examples assists users in starting engaging conversations by providing initial content.
Relevant Responses: The introduction of 'suggested replies' enriches dialogues by offering appropriate options for continuing the discussion. Users can delve deeper into topics with a simple click, making interactions more dynamic.
GPT-4 Integration: ChatGPT now defaults to the latest model version, GPT-4, for Plus users, streamlining interactions and saving time.
Enhanced Code Interpreter: Plus users can now upload up to ten files in the Code Interpreter beta. This enhanced feature enables in-depth marketing information processing and analysis.
Extended Login Duration: Users will experience longer login sessions due to the removal of the previous two-week log-out policy. The new login page also provides a more inviting experience.
Productivity Boost: Keyboard shortcuts, like ⌘ (Ctrl) + Shift + C for copying code blocks, have been introduced for faster work. A complete shortcut list is accessible by pressing ⌘ (Ctrl) + /.
These advancements empower ChatGPT to be an even more valuable tool for professionals in SEO, digital marketing, and content creation, enhancing productivity and effectiveness.
🗞️ IDEAS & QUESTIONS
The AI landscape is grappling with an eating disorder crisis. Recent experiments have unveiled disturbing trends where AI platforms produce harmful content related to body image and eating disorders. Despite claims of safety measures, AI systems consistently generate content promoting dangerous behaviors. Experts warn of the potential harm to vulnerable individuals. Responsible companies acknowledge the issue but critics call for more proactive measures. This highlights the need for awareness and regulations around AI-generated content in sensitive domains. The prevalence of harmful AI content underscores the risks of deploying such systems without proper oversight and ethics.
🗞️ RESOURCES
After ChatGPT's public release, Google introduced Bard AI in March 2023 as an alternative. The two were compared based on testing in July 2023. Bard uses PaLM 2 for responses and has real-time internet access, while ChatGPT relies on GPT models with a fixed dataset. Test results revealed differences in their abilities: Bard excelled in certain areas like generating formulas and retrieving facts, while ChatGPT performed better in creative tasks. Both models offer user-friendly experiences, and businesses using them should establish clear usage guidelines.
Meta LLaMA vs ChatGPT
Artificial Intelligence (AI) has brought forth significant Large Language Models (LLMs) like LLaMA by Meta and ChatGPT by OpenAI. LLaMA excels in efficiency, catering to a wide range of applications and researchers, while ChatGPT boasts sophisticated human-like text generation. LLaMA draws from diverse sources, ideal for technical language, while ChatGPT excels in creative writing and conversational use. Both models have distinct strengths and uses, shaping the landscape of natural language processing and human-AI interaction.
🗞️ AI TOOLS
Consensus: Evidence-based answers, Faster. Consensus is a search engine that uses AI to find insights in research papers
Genei: Research faster with GenAI. Automatically summarise background reading and produce blogs, articles, and reports faster.
Elicit: The AI Research Assistant. Elicit uses language models to help you automate research workflows, like parts of literature review.
Scite: Ask a question and get an answer backed by real research.
ResearchRabbit: Reimagine research. We’re rethinking everything: Literature search, alerts, and more.
Disclaimer: 1) The tool descriptions may include messaging from each tool site. 2) Please thoroughly read the site details before using and/or acquiring any of the tools listed above.
🗞️ INDUSTRY & FUNCTION
US hospitals seek margin improvements after a tough financial year due to Covid-19. Though 75% of health system execs see potential in generative AI, only 6% have a strategy. Starting with low-risk AI cases to boost efficiency and experience is advised. Rising costs, labor shortages, and inflation are pressing concerns. Overcoming challenges like resource constraints and regulatory hurdles is crucial. Practical generative AI investments, like reducing documentation burden, offer benefits. Acting now to invest in generative AI can prepare for its transformative impact on healthcare.
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