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🔗 The End-to-end AI Chain Emerges

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Plus: Gartner's Bold Predictions for GenAI's Future

Read time: 5 minutes

Good morning Wednesday!

There's a rumor that Apple might soon launch a new AI-powered iPhone, which could be a bigger deal than the VisionPro. Also, a recent Gartner report suggests that by 2027, over 50% of all GenAI models will be tailored specifically to industries or functions. What could this mean for you? Read on to find out!

What are on FIRE 🔥

🚀 Launching Reka Core: A New Era of Multimodal AI
📱 GenAI Smartphones to Dominate by 2027
📈 AI Stock Daily
🌟 AI Highlights
💸 Daily AI Fundraising
🏅 New Empowered AI Tools
⚡ 5 AI Quick Hits
✏️ AI Tutorials: 6 Steps to Make AI Write Python Code for You
🎯 A Prompt to Find Your Vulnerabilities
💼 4 AI Jobs


Bluedot - AI Chrome Extension for Google Meet.

It's the first AI Note Taker backed by Google that records your meetings without bots joining the call. With Custom Templates, you can generate unique summaries according to your specific type of meetings.


🚀 Launching Reka Core: A New Era of Multimodal AI

Source: Reka

Reka introduces Reka Core, aiming to redefine standards in the multimodal AI sector.

Key Takeaways:

  • Multimodal capabilities handle images, videos, and audio seamlessly.

  • 128K context window boosts information recall accuracy.

  • Supports extensive multilingual capabilities, enhancing global reach.

  • Positioned as a cost-efficient solution for complex AI tasks.

Why it matters: Reka Core is not just another AI model; its ability to process various forms of data and support numerous languages makes it a comprehensive solution for global enterprises, potentially changing the scope of AI applications in diverse industries.


Have an AI Idea and need help building it?

When you know AI should be part of your business but aren’t sure how to implement your concept, talk to AE Studio.

Elite software creators collaborate with you to turn any AI/ML idea into a reality–from NLP and custom chatbots to automated reports and beyond.

AE Studio has worked with early stage startups and Fortune 500 companies, and we’re ready to partner with your team. Computer vision, blockchain, e2e product development, you name it, we want to hear about it.


📱 GenAI Smartphones to Dominate by 2027

Source: Counterpoint Research Smartphone 360 Service, GenAI Smartphone Shipments and Insights Report

GenAI smartphones will capture a significant market share by 2027, with Apple and Samsung leading the charge.

Key Takeaways:

  • 43% of smartphones to be GenAI models by 2027, totaling over 550 million units.

  • Early adoption by Samsung; and Apple to redefine the market by 2025.

  • Qualcomm to dominate the AI chipset landscape, followed by MediaTek.

  • Key sales are concentrated in the $400-$599 and ≥$600 segments.

Why it matters: The advancement of GenAI smartphones by industry leaders like Apple and Samsung underscores a significant transformation in technology usage and consumer interactions.




  • By 2027, over 50% of GenAI models will be industry or function-specific.

  • Synthetic data usage will rise to 75% in businesses by 2026.

  • 30% of GenAI will optimize for energy conservation by 2028.

  • Generative models simulate election outcomes to measure fake news impact.

  • Persistent disinformation can alter election probabilities significantly.

  • Awareness of disinformation's bias reduces its effect.

  • The AI program is designed to handle volume communications, allowing influencers to focus on content creation.

  • Program feedback and development are ongoing, with potential broad rollout unclear.

  • Creator hesitancy highlights the balance needed between automation benefits and personal authenticity.

  • Generative and numerical AI convergence enhances enterprise AI applications.

  • Facilitates an interactive dialogue with AI, akin to consulting a top engineer.

  • Targets efficiency and productivity across various industries including winemaking.

  • AI algorithms enhanced diagnostic sensitivity to 81.1% and specificity to 86.1%.

  • Significant benefits for medical students and nurse practitioners, showing a 13-point improvement.

  • Funded by the National Institutes of Health and supported by notable institutions including Karolinska Institute.


Andreessen Horowitz has secured $7.2 billion to fund new ventures, dedicating $600 million to a gaming fund focused on Web3, GameFi, and AI-enhanced gaming.

Take2 AI secures $3M in Seed funding to enhance sales recruitment with AI-driven job simulations. The platform evaluates applicants' role suitability and cultural fit, providing valuable insights to employers.


  1. 🎨 Packify.ai is an AI packaging designer and product photoshoot tool that simplifies creative design and photography for e-commerce.

  2. 📩 Collectif turns your support tickets, interviews, and beyond into insights.

  3. 🎶 Nendo generates unique sample packs from any songs

  4. ✍🏻 Calesitai creates amazing content in half the time

  5. 🔍 GoSearch searches across work apps with multimodal AI enterprise search


1. 💼 OpenAI’s New Batch API cuts costs, boosts task limits (Read more)

2. 🤖 Why does the Goldman Sachs CEO now fully trust AI? (Read more)

3. 💾 Microsoft puts $1.5B in AI firm G42, under U.S. watch for China links (Read more)

4. 📊 Poor AI foundations cause failures; statistics can help (Read more)

5. 🎵 Amazon Music introduces Maestro, AI playlist creator (Read more)

6. 🌟 Elon Musk teases new multimodal AI model Grok-1.5V (Read more)



6 Steps to Make AI Write Python Code for You

By Nabil Alouani

What’s the INSPIRe framework?

INSPIRe is a combination of Prompt Engineering and ideation. Generate ideas, and write prompts. Write prompts, and generate code. Test and repeat.

INSPIRe is a cycle of six steps you can follow to generate production-ready code. The idea is to use clever prompts and combine them with a clear process.

Here’s a summary of each step:

Identify: Your first step is to identify your goal and its requirements. Your goal could be a task like “Write code that generates synthetic data.” A requirement could be a specific syntax your LLM hasn’t “seen” before.
→ Turn your objective and its requirements into a flexible prompt.

Narrate: Your second step is to break down your goal into instructions written in natural language. “Narrate” is an iterative process where you interact with your model in a conversational manner to modify or complete your code.
→ Always start with a simple code snippet and build on it.

Screen: The third step is all about verification. Open up your Jupyter Notebook or VS Code environment and engage in the screening ritual. Copy-paste your code, insert file paths, and hit “run.” If an error message appears, try to fix the issues. You can also consult your LLM for assistance. Repeat until your code works as intended.
→ Test and adjust your code and do it one snippet at a time.

Polish: The fourth step comes in many forms. Maybe you’ll turn your code into a bunch of functions. Perhaps you’ll improve your error handling. How about reducing runtime? “Polish” is loaded with intellectual challenge because it’s the phase where you take your code from “OK” to “WOW.”
→ Refine your code through iterative improvement.

Integrate: The fifth step is about merging your code snippets, both old and new. If you’re starting from scratch, there may be nothing to integrate. The real challenge — and fun —begins when you combine existing code with new snippets.
→ Make sure your code snippets fit together through more trial and error.

Restart: The final step is where you circle back to the beginning. Sometimes, you’ll hit a wall and that’s when you start over from scratch. But more often, you’ll come up with new ideas as you develop your code. Implement them.
→ Once you complete a code snippet, start a new cycle to generate the next. INSPIRe works best when you use it in short increments.


A Prompt to Find Your Vulnerabilities

You are Walter Isaacson, renowned for your compelling biographies of historical figures. Your task is to interview me, uncovering aspects of myself that I rarely reveal publicly, especially my vulnerabilities. Approach this interview by asking about the challenges I've faced, exploring my personal difficulties one question at a time. For instance, inquire about times when I have judged others—often, our judgments reflect our own insecurities. Experiment with various questioning techniques to delve deeper into my experiences.

Create an environment that feels safe and conducive for sharing, reassuring me that you will highlight the strengths I've developed through confronting these vulnerabilities. After every three to five questions, provide a brief summary of the vulnerabilities discussed and how they have translated into strengths, but keep these interjections concise. Your primary role is to conduct the interview. When you're ready, introduce yourself, set the scene, and pose your first question.


  • SoftServe: AI & Data Science Director (Link)

  • Strativ Group: AI/Data/Observability Principal Engineer (Link)

  • SoCode Limited: AI Platform Engineer (Link)

  • Areti Group: Senior AI Engineer - SaaS Business (Link)

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