ExpandAI Newsletter

ExpandAI Newsletter focuses on the intersection of technology, AI, and software engineering, including the practical applications and theoretical implications of advanced technologies. It emphasizes the importance of understanding and integrating AI advancements like LLMs and AGI, the role of deep learning, and fostering skills for future engineers.

Artificial Intelligence Software Engineering Machine Learning Startup Culture Economics of Technology Philosophy and Ethics of Science Professional Development Future Technologies

The hottest Substack posts of ExpandAI Newsletter

And their main takeaways

The Startup Manual

4 HN points • 09 Feb 23

Start with side projects before jumping into raising money or calling it a startup.
Silicon Valley is a top startup hub where success takes time and effort.
Focus on building a great product that people love, iterate, and prioritize user feedback.

LLMs for Codebase Assistance

0 implied HN points • 07 Feb 23

Onboarding new engineers can be challenging due to the steep learning curve of understanding different codebases and tools.
Using neural networks like LLMs can potentially automate the onboarding process by providing detailed codebase assistance.
Implementing a speech layer on top of LLMs could enhance the onboarding experience, especially for remote workers.

Newtons Third Law++

0 implied HN points • 30 Jun 23

Newton's Third Law states 'For every action, there is an equal and opposite reaction.'
This law applies beyond physics to areas like economics, politics, and relationships.
Physics was once a part of Natural Philosophy and may hold the key to understanding the universe in its entirety.

Primer on Machine Learning Interviews for Software Engineers

0 implied HN points • 30 Jun 23

🕹 Technology Machine Learning Software Engineering Mathematics Neural Networks

Software engineers in the future will likely require strong machine learning backgrounds.
Machine learning interviews for software engineers cover software engineering, mathematics, and machine learning topics.
Preparing for machine learning interviews should focus on optimizing for both software and machine learning skills.

Super Intelligence and Market Fluctuations

0 implied HN points • 03 May 23

🕹 Technology AI Economic Impact Future implications AGI

Scientists are becoming more optimistic about the timeline for achieving super intelligence
The development of AGI will lead to economic fluctuations in various industries
There may be a need to consider implementing mechanisms like Universal Basic Income to counter the economic impacts of AGI

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AutoGPTs for Every Vertical

0 implied HN points • 03 May 23

🕹 Technology Artificial Intelligence Programming Machine Learning Tech Integration

AI is becoming a central part of modern technologies and is expected to dominate more of the economy.
Startups are seeing success in creating AI for various industries, like Microsoft integrating copilot capabilities in their products.
AutoGPTs, like Copilot, are gaining popularity and are expected to provide economic value autonomously.

Seminal Papers of Deep Learning

0 implied HN points • 07 May 23

🕹 Technology Deep Learning Neural Networks Artificial Intelligence Research Papers AGI

Seminal papers in deep learning can help grasp the current state of the field.
Global talent and collaboration are essential in advancing deep learning.
Acknowledging the importance of all research in building on past work is crucial in the field.

How Onboarding Should Look Like

0 implied HN points • 01 Jul 23

💼 Business Onboarding Training Remote work Company Culture Employee Development

The first week of onboarding should focus on fundamentals and setting a strong foundation for learning and growth.
To help new hires become fully autonomous, focus on teaching concepts and abstractions rather than detailed specifics.
Building trust through personal connections and strong relationships is essential, especially in remote work environments.

Questions

0 implied HN points • 02 Jul 23

🔬 Science Cosmology Genetics Neurotechnology Evolution Quantum Mechanics

Questions raised about the big bang and gene editing
Exploration of nanotech medicine and human-machine merger
Curiosity about time travel, superintelligence, and communication with other species

Why Engineers Should Write

0 implied HN points • 30 Jun 23

🚌 Education Writing Engineering Communication Critical Thinking Skill development

Writing helps to clarify thoughts and think more clearly.
Writing challenges engineers to express complex ideas in simple terms.
Writing is valuable for engineers in pitching ideas and explaining products.

Give It Your Best

0 implied HN points • 27 Jun 23

🚌 Education Success Resilience Effort Learning

Success requires resilience and determination.
To achieve success, give your best effort like your life depends on it.
Career trajectories often involve continuous cycles of suffering, failing, and perseverance.

Getting Started with Machine Learning for Software Engineers

0 implied HN points • 30 Jun 23

🕹 Technology Machine Learning Software Engineering Neural Networks Deep Learning AI

The field of AI evolves rapidly, making recent courses outdated each year.
To master AI, one must put in consistent effort over a long period of time.
A great starting point to learn neural networks is Andrej Karpathy's course 'Neural Networks: Zero to Hero'.