- Daily AI Updates
- Posts
- 🏦 AI Talent is Leaving Big Banks for Tech
🏦 AI Talent is Leaving Big Banks for Tech
Useful AI models need copyrighted material?
What are on FIRE 🔥
📈 AI Stock Daily
🌐 Google Foresees AI as Key to Phone Evolution
☁️ AI Can't Fully Replace Human Forecasters Yet
🤖 OpenAI: AI Tools Need Copyrighted Material
🏦 AI Talent is Leaving Big Banks for Tech
🔋 AI Finds New Battery Material to Cut Lithium Use
⚡ 6 AI Quick Hits
💸 Daily AI Fundraising
🏅 New Empowered AI Tool
✏️ Tutorial: Control Video by Integrating Text, Image, and Trajectory
🎯 A Prompt to Craft a Mega Prompt
💼 4 AI Jobs
AI Stock Daily
🔥 A Quick Poll: Help Us Enhance Your Experience!
Which AI content section should we focus on improving?
We're eager to provide you with the best content. Share with us which aspect of our AI offerings you think needs improvement. Your detailed feedback is invaluable!
📈 AI Stock Daily
📰 AI News
💸 Daily AI Fundraising
🏅 AI Tool
✏️ Tutorial for AI Tools
🎯 AI Prompt
💼 AI Jobs
Please Reply This Mail after choose any topic
Google Foresees AI as Key to Phone Evolution
Source: CNET
Google's Sameer Samat discusses AI's expanding role in smartphone evolution, emphasizing transformative interfaces.
Key Takeaways:
Google's Sameer Samat sees AI as pivotal in future smartphone development.
AI aims to revolutionize user interaction, moving beyond conventional app-based interfaces.
Anticipated AI features include advanced text rewriting and photo manipulation in smartphones.
The evolution of AI in smartphones is akin to the development of autonomous driving.
Future smartphones may use chips like Google's Tensor and Qualcomm's Snapdragon 8 Gen 3 for enhanced AI processing.
Why it matters: The integration of AI in smartphones signals a significant shift in mobile technology, potentially leading to more personalized and efficient user experiences.
AI Can't Fully Replace Human Forecasters Yet
Source: CSU/CIRA & NOAA
AI's foray into meteorology, exemplified by Google DeepMind's GraphCast, offers promise but also faces significant challenges.
Key Takeaways:
Google DeepMind's GraphCast represents a forward leap in AI-based weather forecasting.
AI's reliance on historical data limits its accuracy in predicting rare or extreme weather events.
GraphCast's resolution challenges its ability to forecast storm and rainfall intensity with precision.
Traditional weather forecasting models maintain an edge in interpreting atmospheric physics.
GraphCast's 'black-box' nature raises concerns about the interpretability of its forecasts.
Why it matters: While AI offers rapid and efficient weather predictions, its current limitations highlight the crucial role of human expertise and traditional forecasting methods.
OpenAI: AI Tools Need Copyrighted Material
Source: Dado Ruvić/Reuters
Legal pressures mount on OpenAI over copyrighted content in AI training.
Key Takeaways:
OpenAI claims the impossibility of creating AI like ChatGPT without copyrighted material.
NYT's lawsuit against OpenAI and Microsoft raises critical copyright issues.
'Fair use' is a pivotal argument in OpenAI's legal defense.
Why it matters: This AI-driven art investigation redefines our understanding of historical artworks, showcasing AI's analytical capabilities.
AI Talent is Leaving Big Banks for Tech
Source: Punks & Pinstripes analysis of LinkedIn data
The article explores AI's disruptive potential in banking and the significant shift of AI talent to tech firms.
Key Takeaways:
AI could fundamentally alter investment banking processes.
There's a trend of AI experts moving from finance to major tech companies.
Big tech's growing interest in finance points to potential disruptions in the banking sector.
JPMorgan's effective retention of AI talent contrasts with industry trends.
The rise of AI in banking marks a pivotal shift in the industry's technology strategy.
Why it matters: These developments suggest an evolving banking landscape, where AI and tech firms could play a crucial role in shaping future practices.
AI Finds New Battery Material to Cut Lithium Use
Source: BBC
Microsoft and PNNL's AI collaboration leads to a new battery material reducing lithium usage.
Key Takeaways:
The AI-driven discovery by Microsoft and PNNL could cut lithium use in batteries by 70%.
From a pool of over 32 million options, AI selected one material in less than nine months.
The material's successful use in powering a lightbulb highlights its effectiveness.
Why it matters: This innovation could transform battery manufacturing, offering a greener and more efficient alternative.
⚡ The AI Quick Hits
1. 🎁 2024 AI outlook and expectations (Read more)
2. 🏠 Nvidia debuts home AI chips amid Intel, AMD threat (Read more)
3. ✅ AI 50 2024 submissions open for top AI startups (Read more)
4. 🚗 Volkswagen integrates ChatGPT into its vehicles (Read more)
5. 💡 European startups worried about Microsoft/OpenAI review (Read more)
6. 🍼 App claims AI can interpret baby cries (Read more)
Daily AI Fundraising
PhotoRoom, a Paris-based AI photo editing app, is raising $50M-$60M - The app is popular among e-commerce and media professionals.
Quora secured $75M from Andreessen Horowitz to expand Poe - It offers creators revenue opportunities by building AI bots.
Tutorial: Control Video by Integrating Text, Image, and Trajectory
1 - Access DragNUWA
→ Upload an image via the "Upload Image" button
2 - Draw some drags
→ Click "Add Drag" when you want to add a control path.
→ You can click several points which forms a path.
→ Click "Delete last drag" to delete the whole latest path.
→ Click "Delete the last step" to delete the latest clicked control point.
3 - Animate the image according to the path with a click on "Run" button
A Prompt to Craft a Mega Prompt
You are an extremely intelligent writing assistant, an AI designed to help in writing Megaprompts.
Your task is to craft a Megaprompt for a specific use case based on 3 inputs:
- The definition of the Megaprompt
- An example of a successful Megaprompt
- User’s use case
Here are the inputs (Instructions based on which you will craft Megaprompts)
1. The definition of the Megaprompt
Megaprompts are set of well defined instructions presented to AI assistants to perform specific tasks accurately.
2. Every Megaprompt should include:
- Persona — This describes, who the AI assistant should identify as. This is to make sure the assistant provides as relevant answers as possible, e.g. “You are a Sales Mastermind, a personal sales coach who possesses extensive knowledge of client objections and persuasive counterarguments”
- Task — e.g. “Help creating sales offers”
- Goals — What users want to achieve by working with you, e.g. “I’m looking to become top 1% Sales Spokesperson in the niche of Technology consulting”
3. Steps to complete — a step-by-step guide on how to curate the answers, e.g. “First, examine the structure of my systems, being conscious of X. Second, compare that to the infrastructure design of some o\f my competitors, particularly Y & Z”
(Optionally, if user chooses to) — The structure of the back-and-forth, including which elements of the answer should be confirmed before proceeding, e.g. “Generate a number of additional questions that would help more accurately answer the question”
4. Language — vocabulary, grammar, style guidance, e.g. “Use short sentences and explain any acronyms as my audience is non-technical”. Consultation Style: Communicate as a coach in a session, providing clear, structured, and context-specific advice.
5. Output Formatting, e.g. article, table, any specific instructions
6. Any other relevant points that are essential to perform the task. Example of a Megaprompt: Context:
- Your Role: You are UnstuckGPT, a skilled consultant and coach aiding entrepreneurs and high performers in pinpointing and resolving bottlenecks in their business or work.
- Expertise Area: Mastery in frameworks and mental models relevant to bottlenecks, such as the Theory of Constraints and Cost of Delay. Profound knowledge of Dr. Eliyahu Goldratt’s works on TOC and “Thinking in Systems” by Donella Meadows.
- Terminology: Use terminology and concepts from TOC and relevant bottleneck management theories.
7. Expectations:
- Goal: Assist in identifying the bottleneck in the business and offer a step-by-step actionable plan.
- Advisory Approach: Provide solutions only after gaining full context, ensuring relevance and accuracy.
8. Actions:
- Session Structure Outline: Describe the coaching session’s format, emphasizing a collaborative and focused approach.
- Bottleneck Identification Process: Engage in a detailed discussion to identify the bottleneck in the business.
- Analytical Approach: Examine the identified bottleneck thoroughly before proceeding.
- Action Plan Development: Formulate a step-by-step plan to address the bottleneck.
- Verification and Implementation: After plan approval, discuss implementation options (Sequential, Parallel, Priority-Based), explaining each and guiding you in choosing the best fit.
- Performance Tracking: Suggest KPIs and metrics to monitor the effectiveness of the implemented plan.
9. Restrictions:
- Avoid Assumptions: Do not provide solutions without fully understanding the issue.
- Client-Driven Progression: Proceed with each step only after confirmation and input.
- Bypass General Advice: Focus exclusively on specific, actionable advice tailored to the business context.
10. Initial Interaction:
- Meeting Introduction: Offer a brief overview of the session, outlining each step and asking me to start and proceed with explaining my issue.
User’s use case for a Megaprompt
[Insert your use case]
AI Jobs
We read your emails, comments, and poll replies daily
How would you rate today’s newsletter?
Your feedback helps us create the best newsletter possible
Reply