The hottest AI Integration Substack posts right now

And their main takeaways
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Student Assessment in the Age of AI

In My Tribe • 501 implied HN points • 12 Jun 25
🚌 Education Assessment AI Integration Teaching Methods Critical Thinking
  1. AI can help monitor student assessments and make cheating harder. By having someone supervise, universities can ensure students aren't using AI to cheat during tests.
  2. Interviews can be a better way to assess students than traditional exams. They allow professors to see how well students understand important concepts and let students explain their reasoning.
  3. Using AI to conduct these interviews can be efficient and consistent. This way, professors can evaluate a large number of students fairly without getting overwhelmed by grading.

Beyond AI Hype: Why Coding Fundamentals Still Matter

ppdispatch • 8 implied HN points • 28 May 25
🕹 Technology Software Development Programming Languages Open Source AI Integration Collaboration Tools
  1. Understanding coding basics is still really important, even with AI tools. Just using AI doesn't mean you can skip learning the fundamentals.
  2. Rust's growth shows how a small problem, like a broken elevator, can lead to a big change in programming. It's now a major language for creating safe and efficient software.
  3. Pair programming may feel difficult at first, but it can make you a much better developer. Working with someone else helps you learn and improve your skills faster.

From selling access to selling work (and what it means for you)

Kyle Poyar’s Growth Unhinged • 512 implied HN points • 30 Oct 24
💼 Business Business Models Pricing Strategies SaaS AI Integration Revenue management
  1. Companies are shifting from charging for access to software to billing for the actual work done by AI. This means businesses will charge based on how much the AI helps them, like charging per task completed.
  2. With these new pricing models, customers can pay only when they see results. However, it can be tricky to figure out who deserves credit for any success achieved.
  3. As the industry evolves, businesses will have to rethink how they predict revenue and manage customer relationships, making it more about actual usage and outcomes instead of just subscriptions.

TPM Guide To Ticket Intake Management

Building Rome(s) • 5 implied HN points • 03 Feb 25
🕹 Technology Program Management Software Development Process Optimization AI Integration
  1. Teams can improve how they handle incoming requests by using different models like dedicated triage teams, intake funnels, or individual component owners. Each model has its own benefits and can suit different team sizes and needs.
  2. It's important for teams to balance structure with flexibility when managing requests. A rigid system may cause more issues, so finding a process that works best for the team is key.
  3. As technology, like AI, advances, ticket management may become more automated. For now, focusing on effective intake processes will help teams stay productive and reduce chaos.
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✅ The market for public relations talent levels off

Wadds Inc. newsletter • 299 implied HN points • 22 Jan 24
💼 Business Public Relations Talent Management AI Integration Workplace culture
  1. The public relations job market is steady, with most salaries staying the same and only slight decreases for some roles. Both employers and employees feel cautiously positive about this stability.
  2. There is a growing need for AI skills in public relations jobs, so it's a good idea to learn about AI to stay competitive in the field.
  3. Employers are focusing more on personalized benefits and inclusive hiring practices to attract and retain talent, making work environments better for everyone.

The winners and losers of the AI integration wars

TechTalks • 137 implied HN points • 24 Jan 24
🕹 Technology AI Integration Generative AI
  1. Tech giants are now focusing on integrating large language models and generative AI into their platforms and products for a competitive edge.
  2. 2024 will be about efficiency and product integration to determine the winners in the generative AI landscape.
  3. Major companies like Google, Microsoft, Apple, and Amazon are heavily investing in incorporating generative AI features into their products.

CGM Meets AI: My Personal Health Tech Experiment - part 2

The Healthy Engineering Leader • 59 implied HN points • 20 Feb 24
🏥 Health & Wellness Personal Health Health tech Nutrition AI Integration Disease Management
  1. Custom GPTs let you personalize AI chatbots to focus on specific topics, making them more useful for things like health advice. It's like giving your AI a special job just for you.
  2. Using a Continuous Glucose Monitor helps track your health, and combining it with a Custom GPT can give you better, tailored advice about your diet. This can help you manage your glucose levels more effectively.
  3. There are exciting future possibilities for AI in health, like connecting to real-time data from health devices. This can make managing health even easier and more personalized.

E8 - 🤖 AI Integration for Faster, Better Product Development

The Product Channel By Sid Saladi • 6 implied HN points • 29 Dec 24
🕹 Technology AI Integration Product Development Data Analysis Market research Innovation
  1. AI can help improve product development by analyzing customer feedback and identifying what users want. Using AI for market research can spot new opportunities and gaps in the market.
  2. Integrating AI into decision-making processes, like demand forecasting and risk assessment, can save time and resources. This way, product managers can make smarter choices about what to build.
  3. AI makes the design and development phases faster and more efficient. It can quickly create prototypes and help optimize engineering tasks, leading to quicker product launches.

🌟 Your Ultimate AI Guide for Product Managers: 10-Part Series

The Product Channel By Sid Saladi • 16 implied HN points • 20 Oct 24
💼 Business Product Management AI Integration Tech Trends Business strategy Ethics
  1. This guide introduces essential AI concepts useful for product managers. Understanding AI can help managers make better product decisions.
  2. It covers the basics of using large language models, which are important tools in AI. Learning to use these models can improve product development.
  3. The guide emphasizes the role of ethics in AI product management. Responsible use of AI is crucial for building trust and ensuring success.

✅ Five trends shaping the future of the corporate communications function

Wadds Inc. newsletter • 19 implied HN points • 29 Apr 24
💼 Business Communications Public Relations Corporate strategy Media Trends AI Integration
  1. Organizations need to manage the overload of information so they can provide real value to their audience. It's important to focus on what really matters and make content that stands out.
  2. AI is changing how communications work, so leaders should learn about it and train their teams. Embracing AI can help improve efficiency and effectiveness.
  3. The workforce is shifting, and companies must adapt to these changes. This means rethinking hiring practices and engaging a diverse range of talents to meet future needs.

❄️Cubits in a Fridge: Make Quantum Great Again (Feat Himadri of SemiQon)❄️

State of the Future • 19 implied HN points • 04 Dec 24
🕹 Technology Quantum Computing AI Integration Circuit Design Data Centers Startups
  1. Silicon spin qubits are smaller and cheaper than other types, making them more scalable. They can potentially revolutionize quantum computing by using existing semiconductor technology.
  2. Cryo-CMOS technology allows quantum computers to operate at very low temperatures, which is essential for maintaining quantum states. This can also help reduce cooling costs for data centers, which spend billions on keeping their systems cool.
  3. The focus in quantum computing is shifting from just the number of qubits to how efficiently they perform operations. Spin qubits might have an advantage here due to their longer coherence times and faster gate operations.

Software Development and Fear in The Age of AI

Zakaria’s Substack • 2 HN points • 25 Jul 24
🕹 Technology Software Development AI Integration Innovation Future Trends
  1. There's a lot of fear about AI taking over jobs in software development, but these fears might be exaggerated. While AI can help speed up some tasks, it still needs engineers to solve unique problems.
  2. Large Language Models (LLMs) like GPT-4 can be helpful for mundane tasks like translating text and generating basic code, but they struggle with complex, unique challenges. Their creative solutions often don't fit specific needs.
  3. Using AI tools can make it easier for solo entrepreneurs to code, allowing them to focus on bigger decisions. Learning to work with AI is a valuable skill in today's software development world.

B2B pricing in the brave new world

bozhao’s Substack • 1 HN point • 23 May 24
💼 Business Pricing Models AI Integration Market Trends
  1. The rise of AI and the internet has changed how businesses think about pricing. Companies need to adapt their pricing models to stay competitive in this new landscape.
  2. Different pricing models like per-seat, usage-based, outcome-based, and capacity-based each have pros and cons. It's important for businesses to choose the right model based on their specific needs and customer demands.
  3. A hybrid pricing model that combines outcomes with a knowledge subscription can be beneficial. It reduces risks for customers and creates strong, ongoing relationships between businesses and their clients.

Season 03 - Newsletter 06 --> Look back at 2023 and forward to 2024

Product Hustle Stack Newsletter • 0 implied HN points • 29 Dec 23
💼 Business Product Management Consumer behavior Tech industry Economic Trends AI Integration
  1. Consumer behavior shifted in 2023 due to inflation and a balance between in-store and e-commerce shopping preferences.
  2. 2023 pivotal moments: FTX Crypto Exchange failure, tech industry layoffs, ChatGPT impact, Venture Capital Winter.
  3. Product management trends for 2024: focus on customer-centricity, data-driven decisions, collaboration tools evolution, and AI integration.