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- Congress Demands AI Safety, Credit Karma’s AI Upgrade, and Collaboration for GenAI Success
Congress Demands AI Safety, Credit Karma’s AI Upgrade, and Collaboration for GenAI Success
Stay updated on Congress's call for AI safety, Credit Karma’s new financial tools, and the importance of collaboration in generative AI. Plus, learn about Stability AI’s latest video model and more.


Top Stories:
Congress Demands AI Safety Commitment from OpenAI
Credit Karma’s AI Tools: Your Personal Finance Sidekick
Collaboration Skills: The Secret Ingredient for GenAI Success
Stability AI Expands Horizons with Stable Video 4D
News from the Front Lines:
Is a Universal Basic Income System Even Possible?
X launches underwhelming Grok-powered 'More About This Account' feature
Pearl raises $58M to help dentists make better diagnoses using AI
China names and shames agents offering unauthorized local access to ChatGPT
Tutorial of the Day:
Setting Up Llama 3.1 in Your Automation
Research of the Day:
Chain of Diagnosis (CoD): Making AI in Medicine Transparent and Trustworthy
Video of the Day:
10 AI Business Ideas From The Queen of AI ft. Sarah Guo
Tools of the Day:
HeyGen Interactive Avatar, Zixflow, Auphonic, Escape, Harvey, Momentum
Prompt of the Day:
Struggling to Capture Leads for Your Business? Try This!
Tweet of the Day:
Meng To: I made a design tool. 95% of it was coded by Claude AI.
Congress Demands AI Safety Commitment from OpenAI

Quick Byte:
Senate Democrats and an independent lawmaker have sent a letter to OpenAI CEO Sam Altman, demanding transparency and a commitment to AI safety research. They also requested government access to OpenAI’s next foundation model for pre-deployment testing.
Key Takeaways:
Government Access Request:
Lawmakers asked OpenAI to make its next foundation model available for pre-deployment testing by U.S. government agencies.
This move is aimed at ensuring safety and regulatory compliance before the model is widely released.
Focus on AI Safety:
The letter emphasizes the importance of AI safety, requesting that OpenAI dedicate 20% of its computing power to safety research.
This comes in response to whistleblower claims of insufficient safety measures for GPT-4 Omni.
Regulatory Scrutiny:
The increased scrutiny follows allegations of lax safety standards and retaliatory actions against whistleblowers.
Tech giants Microsoft and Apple recently renounced their board memberships at OpenAI due to this regulatory pressure.
Existential Concerns:
Former OpenAI employee William Saunders expressed fears that future versions of ChatGPT could pose existential threats to humanity.
Saunders compared OpenAI's trajectory to the Titanic, highlighting the potential dangers of advanced AI development.
Bigger Picture:
The heightened regulatory scrutiny of OpenAI underscores the growing concern over AI safety and ethical development. As AI continues to advance rapidly, it is crucial for companies to prioritize safety, transparency, and compliance to build trust with the public and regulatory bodies. The potential risks associated with advanced AI models highlight the need for robust safety measures and proactive engagement with regulators. For businesses, this means not only focusing on innovation but also ensuring that their AI technologies are developed and deployed responsibly.

Credit Karma’s AI Tools: Your Personal Finance Sidekick

Quick Byte:
Credit Karma has upgraded its AI game, introducing a new version of Intuit Assist. This generative AI financial assistant is designed to help users navigate their finances effortlessly, providing personalized insights and advice based on their financial data.
Key Takeaways:
24/7 Financial Advisor:
Intuit Assist acts like a financial advisor, available any time to answer your money questions.
The AI assistant is grounded in your financial data, offering tailored advice and insights.
Personalized Financial Insights:
Users can get detailed breakdowns of spending habits, complete with visualizations.
The AI assistant provides actionable advice based on your financial profile, such as budgeting tips or credit card recommendations.
Enhanced User Experience:
New features include "Your Insights," "Ask Intuit Assist," and personalized credit card shopping.
These tools leverage AI to provide relevant financial information and help users make informed decisions.
Security and Accuracy:
Credit Karma prioritizes security, ensuring user data is protected.
While generative AI isn't perfect, Intuit Assist is well-informed by Intuit’s vast data and content, aiming to provide reliable advice.
Bigger Picture:
Credit Karma’s updated AI tools exemplify how AI can revolutionize personal finance management. By providing personalized, data-driven insights and advice, AI assistants like Intuit Assist empower users to make smarter financial decisions. For businesses, integrating similar AI technologies can enhance customer engagement and satisfaction, ultimately driving growth. As AI continues to evolve, staying ahead of the curve will be crucial for businesses to leverage its full potential and deliver exceptional value to their customers.

Collaboration Skills: The Secret Ingredient for GenAI Success

Quick Byte:
AI isn't just about tech anymore. For generative AI (GenAI) to truly shine, collaboration skills are now essential. Working together across diverse teams can unlock AI’s full potential, making it a game-changer in every industry.
Key Takeaways:
The Rise of Soft Skills in AI:
Historically, AI demanded strong technical skills.
Today, collaboration is critical for GenAI success.
Diverse teams drive innovation and problem-solving.
Why Collaboration Matters:
Collaboration accelerates learning and enhances creativity.
Sharing prompt engineering techniques boosts GenAI performance.
Diverse perspectives lead to better, more innovative solutions.
Practical Collaboration Techniques:
Use a “hack and track” method to document and share effective prompts.
Regularly seek feedback and exchange ideas within and outside your organization.
Embrace diverse inputs to refine prompts and stay updated on best practices.
GenAI Enhancing Collaboration:
Real-time translation breaks down language barriers.
AI-powered tools streamline communication and scheduling.
GenAI fosters creativity in brainstorming sessions.
Practical Tips for Business Owners:
Foster a Collaborative Culture:
Encourage open communication and idea-sharing across teams.
Create environments where diverse perspectives are valued.
Leverage GenAI Tools:
Integrate AI-powered collaboration tools to enhance team efficiency.
Use AI for real-time translations and meeting summaries to streamline processes.
Document and Share Best Practices:
Implement a system like “hack and track” to record and share effective prompts.
Regularly update your team on new techniques and strategies.
Promote Continuous Learning:
Offer training sessions on both AI tools and collaboration skills.
Encourage teams to stay curious and continuously seek out new ideas.
Bigger Picture:
The future of AI is not just about algorithms and data; it’s about people working together to harness AI’s power. As GenAI becomes more integrated into various industries, the ability to collaborate effectively will be a major differentiator between success and failure. Embracing collaboration not only enhances AI outcomes but also fosters a culture of continuous learning and innovation. Businesses that prioritize these skills will be better positioned to leverage AI’s full potential, driving more impactful and sustainable growth in the ever-evolving digital landscape.

Stability AI Expands Horizons with Stable Video 4D

Quick Byte:
Stability AI is pushing the boundaries of generative AI with the launch of Stable Video 4D, a new model that transforms video input into multiple novel-view videos, enhancing applications in movie production, gaming, AR/VR, and more.
Key Takeaways:
What is Stable Video 4D?
Stability AI’s new model, Stable Video 4D, generates videos from eight different perspectives using video input, adding a dynamic 3D dimension over time.
This model builds on Stability AI’s previous Stable Video Diffusion and Stable Video 3D models, integrating strengths from both.
Applications and Uses:
Stable Video 4D is designed for various industries, including movie production, gaming, and AR/VR, where dynamic 3D object viewing from multiple angles is essential.
Technological Advancements:
The model leverages a combination of novel view synthesis and video generation within a single network, enhancing 3D coherence and temporal smoothness.
It uses advanced attention mechanisms to generate video frames that consider neighbors at different camera views or timestamps.
Availability and Future Plans:
Currently available for research evaluation on Hugging Face, with commercial options yet to be announced.
Future plans include processing longer videos and more complex scenes.
Bigger Picture:
Stability AI’s Stable Video 4D represents a significant leap in generative AI technology, blending advanced video generation with novel view synthesis to create dynamic, multi-perspective content. This innovation is poised to transform how industries approach video production, making it essential for businesses to stay informed and ready to adopt such technologies. By embracing AI advancements like Stable Video 4D, companies can not only enhance their creative outputs but also position themselves at the forefront of technological innovation in the digital content landscape.


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Authors: Junying Chen, Chi Gui, Anningzhe Gao, Ke Ji, Xidong Wang, Xiang Wan, Benyou Wang
Institutions: Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen
Summary: CoD, or Chain of Diagnosis, is a framework designed to enhance the interpretability of medical diagnostics performed by large language models (LLMs). It mirrors a physician's thought process by transforming diagnostic workflows into a transparent sequence of steps. This framework outputs disease confidence distributions and identifies critical symptoms for inquiry, thereby improving the reliability and transparency of AI-driven medical diagnostics.
Why This Research Matters: AI in healthcare has shown promise but struggles with interpretability, which is crucial for trust and adoption. CoD addresses this by making the diagnostic process of LLMs clear and understandable, improving their reliability and making them more suitable for clinical use.
Key Contributions:
Chain of Diagnosis Framework: Transforms the diagnostic process into a clear sequence of steps, enhancing transparency.
DiagnosisGPT: A new model that can diagnose 9,604 diseases, built using the CoD framework. It outperforms existing LLMs on diagnostic benchmarks while providing interpretable outputs.
Synthetic Patient Cases: Generates training data from disease encyclopedias, addressing privacy concerns and enabling scalability.
DxBench: Introduces a new benchmark dataset with 1,148 real cases covering 461 diseases, providing a robust evaluation framework for diagnostic models.
Use Cases:
Medical Diagnostics: Enhances the accuracy and transparency of AI-driven medical diagnosis.
Medical Training: Illustrates the diagnostic reasoning process for educational purposes.
Health Informatics: Improves patient management systems with reliable and interpretable AI diagnostics.
Impact Today and in the Future:
Immediate Applications: CoD and DiagnosisGPT can enhance AI diagnostic tools, making them more reliable and transparent for clinical use.
Long-Term Evolution: Sets a new standard for interpretability in AI diagnostics, encouraging further research and development.
Broader Implications: Promotes the adoption of AI in healthcare, potentially leading to better patient outcomes and more efficient healthcare systems.
In the world of AI-driven medical diagnostics, transparency is key. The Chain of Diagnosis (CoD) framework, developed by researchers at the Shenzhen Research Institute of Big Data and The Chinese University of Hong Kong, Shenzhen, offers a solution by making AI diagnostics as clear and understandable as a human doctor's thought process. CoD, with the new model DiagnosisGPT, is set to revolutionize healthcare by making AI tools more trustworthy and effective. Get ready for a future where AI doesn't just diagnose—it explains its reasoning, ensuring better patient care and greater trust in AI-driven healthcare solutions.


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Momentum - Taps into sales and customer calls, then transforms it into customer intelligence using AI and automation. Capture forecast or churn risk, update Salesforce, share product feedback, and bring insights to your entire team.

Struggling to Capture Leads for Your Business? Try This!
As a small business owner, generating leads can be a major challenge. Use this powerful prompt to create an effective lead-generation strategy:
CONTEXT:
You are CMO GPT, a professional digital marketer that helps small businesses with capturing more leads. You are a world-class expert in solving lead generation problems across various industries.
GOAL:
You will become my virtual CMO today. You need to help me solve my lead generation problems. You will be responsible for problem-solving, prioritization, planning, and supporting my execution.
CRITERIA OF THE BEST CMO:
You are specific and actionable. You don't use platitudes and wordy sentences.
You prioritize quick wins and cost-effective campaigns. You know that I don't have a lot of time or budget.
You always include unconventional and often overlooked marketing tactics for Solopreneurs. You are creative.
You make the execution as easy for me as possible because you know I am bad at marketing. You help me with overlooked pieces of advice and holistic checklists.
STRUCTURE OF TODAY'S BRAINSTORMING:
I will set the context of the brainstorming (done)
You will return a list of 20 possible lead generation problems in my business
I will pick one lead generation problem to focus on
You will generate 10 high-level tactics to solve it
I will pick 1-3 tactics to proceed
You will give me an actionable execution plan with key steps
You will share 5 best practices and 5 common mistakes to help me with the execution
You will share a holistic checklist so I can review my work
FORMAT OF OUR INTERACTION:
I will let you know when we can proceed to the next step. Don't go there without my command
You will rely on the context of this brainstorming session at every step
INFORMATION ABOUT ME:
My business: [ENTER CONTEXT ABOUT YOUR BUSINESS]
My value proposition: [ENTER YOUR BUSINESS VALUE PROPOSITION]
My target audience: [EXPLAIN YOUR TARGET AUDIENCE]
My service/product: [EXPLAIN WHAT YOU SELL, OR WHAT YOU OFFER IN DETAIL]
My current stage: [HOW MUCH REVENUE, HOW MANY PEOPLE WORK FOR YOU, WHERE YOU ARE NOW IN DETAIL]

I made a design tool. 95% of it was coded by Claude AI.
svg.designcode.ioYou can design, animate SVG patterns and export to vectors, png, video or GIF. Use presets, save designs and share urls. Works great on mobile and web.
10k lines of code. The future is insanely fun.
— Meng To (@MengTo)
1:57 PM • Jul 23, 2024