The hottest Learning Substack posts right now

And their main takeaways
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Replay: Putting the "M" in STEM

The Bell Ringer • 59 implied HN points • 17 May 24
🚌 Education STEM Mathematics Learning Achievement Podcast
  1. Math is an important part of STEM education and needs more focus. It's often overlooked, but it is essential for understanding science and technology.
  2. Encouraging students in math can help close the achievement gap. When students feel supported in math, they tend to perform better overall.
  3. There are resources and strategies available to help improve math learning. Schools and educators can use various tools to make math more engaging for students.

Joe's Nerdy Rants #2

Joe Reis • 294 implied HN points • 27 May 23
🕹 Technology Data AI Business Startups Learning
  1. Identify your motivation to learn in a rapidly changing industry by finding your ultimate goal or purpose.
  2. Focus on mastering the fundamentals of a topic by understanding it from end to end and learning from first principles.
  3. Be patient, read widely, and connect various ideas together to grow your knowledge over time.

Deep Learning Weekly: Issue 339

Deep Learning Weekly • 137 implied HN points • 07 Feb 24
🕹 Technology Industry MLOps Learning Libraries & Code Papers & Publications
  1. Google introduced a new model for time-series forecasting called TimesFM, pre-trained on a large time-series corpus.
  2. Adept introduced a new multimodal model called Adept Fuyu-Heavy designed for digital agents.
  3. There are various articles and papers covering topics like LLM platforms, code implementation like LoRA, and new generation AI models.
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Frame Rate, experiments, messes

Sunday Letters • 39 implied HN points • 09 Jun 24
🕹 Technology AI Innovation Software Engineering Learning
  1. AI technology is developing quickly, and if you don’t engage with it yourself, you might be caught off guard by new advancements. It's better to stay updated by trying things out.
  2. Many people still don’t experience AI firsthand and only learn about it from news. Trying out tools like GPT-4 can help you understand its potential.
  3. Being spontaneous and messy in your approach is key to creativity. Don't worry about making things perfect; experimentation can lead to great innovations.

Deep Learning Weekly: Issue #319

Deep Learning Weekly • 275 implied HN points • 20 Sep 23
🕹 Technology Industry MLOps Learning Libraries & Code Papers & Publications
  1. Google's Bard Extension now scans Gmail, Docs, and Drive for answers with its AI chatbot.
  2. Optimizing LLMs from a dataset perspective involves strategies for finetuning using existing datasets.
  3. Influence Functions offer insights into large language model generalization, improving accuracy and robustness through dataset reinforcement.

Welcome to the Provost Dungeon

ailogblog • 139 implied HN points • 02 Feb 24
🚌 Education Technology Administration Learning Teaching Publishing
  1. Bureaucracy is essential for large organizations to manage data and control, but it can hinder community-building, and many share grievances about bureaucratic systems.
  2. Generative AI has the potential to transform bureaucratic processes in universities, leading to anxiety and excitement among bureaucrats, requiring a shift towards positive and pragmatic change.
  3. Educational bureaucracies can benefit from design thinking, incremental experiments, and a hybrid persona of intellectual-bureaucrat to create better structures that support teaching and learning.

Growth mindset vs. fixed mindset

Elevate • 218 implied HN points • 21 Nov 23
🏥 Health & Wellness Mindset Learning Development Relationships Health
  1. Our mindset plays a big role in shaping our lives, influencing how we tackle challenges, learn, and grow.
  2. A fixed mindset hinders growth by viewing abilities as static traits, leading to fear of failure, avoidance of challenges, and jealousy of others' success.
  3. Conversely, a growth mindset empowers individuals, as they believe in their ability to develop skills over time through effort, learning, and perseverance.

Three life hacks: Read, Play and Explain.

A Bit Gamey • 20 implied HN points • 08 Dec 24
🚌 Education Reading Learning Creativity
  1. Reading books can change how you think and help you grow. They take you into different worlds, making learning fun.
  2. Doing what you love can feel like play, even if it looks like work to others. Finding joy in your tasks can lead to success.
  3. Explaining things simply shows that you truly understand them well. It helps you communicate better and learn more effectively.

Whose ethics? Whose AI?

imperfect offerings • 159 implied HN points • 03 Jan 24
🚌 Education Ethics AI Learning Teaching Research
  1. Building an ethical ecosystem for AI in academia requires collaboration and coordination within the sector to meet regulatory requirements and promote openness.
  2. Designing assignments that make the use of generative AI tools less compelling can enhance learning outcomes and reduce the need for detection methods that undermine trust.
  3. Individual educators should challenge the idea that students can act ethically in a context lacking supportive infrastructure for informed ethical decision-making, and focus on conversations about writing practice to foster understanding and development.

Deep Learning Weekly: Issue #308

Deep Learning Weekly • 255 implied HN points • 05 Jul 23
🕹 Technology AI Machine Learning MLOps Learning Libraries & Code
  1. This week's issue of Deep Learning Weekly covers Meta's AI system cards, real-time machine learning foundations at Lyft, and a local code generator tool using Microsoft's guidance library.
  2. Industry news includes Inflection AI's $1.3B investment, Meta AI sharing 22 system cards on AI experiences, and Unity launching new AI platforms for real-time 3D creation.
  3. In the MLOps and Learning sections, topics range from dealing with train-serve skew in ML models to using LLMs for data extraction and building local code generators.

On Scary Chess

Poczwardowski Notes • 177 implied HN points • 13 Dec 23
🎭️ Culture Games Learning Self-Improvement Mistakes Judgment
  1. Playing chess is not about intelligence but about practice and a systematic approach to learning.
  2. Chess is a game of skill and strategy, with no luck involved. It's a battle of brains where the better prepared player usually wins.
  3. Overcoming fear of judgment can lead to valuable experiences. Trying new things, like learning chess, can be rewarding and fun.

cool story, dad

moontower: a stoner dad explains options trading to his kids • 117 implied HN points • 11 Feb 24
🚌 Education Parenting Mathematics Investing Personal Growth Learning
  1. Kids often learn from their parents through modeling and osmosis rather than direct instruction.
  2. Teaching someone else's child may sometimes be more effective in imparting knowledge and lessons.
  3. Finding learning moments in everyday activities or tailored to a child's interests can help them grasp concepts effectively and make the lessons their own.

GRANTED: Connecting with your future self and learning from the past

Granted • 399 implied HN points • 30 Nov 22
🚌 Education Learning Self-Improvement Work
  1. Learning isn't complete just by acquiring knowledge, but by consistently applying it to evolve and improve.
  2. Closing the gap between awareness and action is the ultimate test of growth.
  3. Reject the illusion of continuity for wiser choices; emotional labor is as important as physical and cognitive labor; consider reimagining work methods from hunter-gatherer societies.

On [not] getting to Carnegie Hall

The Bell Ringer • 79 implied HN points • 29 Mar 24
🚌 Education Learning Practice Psychology Sports Music
  1. Americans often celebrate practicing sports and music but view studying as stressful. This shows a difference in how we value different types of hard work.
  2. Practicing skills like singing or dancing can feel heroic and inspiring. But studying for tests can feel more like a chore, which isn't always motivating.
  3. People might find it easier to accept struggle in creative fields than in academics. This affects how students feel about putting in the effort to learn.

Equations are very confusing if you don't know what "X" represents

Defender’s corner • 79 implied HN points • 27 Mar 24
🚌 Education Mathematics Teaching Learning Metaphors Problem Solving
  1. In math, understanding the meaning and representation of variables like 'X' is crucial for problem-solving.
  2. Teaching effectively often involves asking questions and understanding the learner's mental model.
  3. Using metaphors and real-life scenarios can help clarify complex concepts and improve understanding.

How Your Mindset Determines Your Course

Perspectives • 10 implied HN points • 19 Dec 24
🚌 Education Mindset Learning Growth Parenting Motivation
  1. Your mindset can shape your experiences and outcomes. Believing that you can learn and improve helps you tackle challenges better.
  2. Praising effort, rather than innate intelligence, encourages persistence and a love for learning in kids. It's better to focus on hard work rather than just being 'smart.'
  3. Changing how you view your abilities is key. When you stop seeing things as fixed and treat them as skills to develop, you open up more opportunities to grow.

i was half myself without you, now i feel so complete

SPARC '24 JC Blog • 2 HN points • 14 Sep 24
🚌 Education Self-Improvement Mentorship Learning Student experience Psychology
  1. TKS helped me find my drive and purpose, giving me the tools and encouragement to pursue my passions.
  2. Despite the positives, I struggled with pressure to conform to certain ideals, which sometimes felt overwhelming and isolating.
  3. It's important to trust your own feelings and values, and remember there are many paths to success that don't involve strict adherence to someone else's vision.

How to Learn Data Structures and Algorithms [Storytime Saturdays]

Technology Made Simple • 299 implied HN points • 22 Jan 23
🚌 Education Data Structures Algorithms Learning
  1. Understanding Data Structures and Algorithms is crucial for success in technical fields like software development.
  2. Many resources focus on DSA for coding interviews, but it's important to go beyond that to deepen your knowledge.
  3. Learning DSA effectively doesn't have to involve answering countless questions or watching numerous tutorials; there are better approaches available.

Workshop announcement: $95 price for non-tenure track or professors with higher teaching loads

Scott's Substack • 117 implied HN points • 24 Jan 24
🚌 Education Workshop Teaching Causal Inference Pricing Learning
  1. Workshop offering discounted price of $95 for non-tenure track professors or those with high teaching loads
  2. Workshop covers topics like potential outcomes model, unconfoundedness, and instrumental variables
  3. Teaching style focuses on comprehension, confidence, and competency in applying causal inference methods

Should You Pre-teach New Vocabulary?

Mathworlds • 216 implied HN points • 13 Apr 23
🚌 Education Teaching Vocabulary Math Webinars Learning
  1. For effective teaching, teachers and students need a shared set of experiences to talk about before introducing new vocabulary.
  2. Use 'contrasting cases' like 'Which one doesn't belong?' to surface older knowledge and make connections to new vocabulary.
  3. Provide opportunities for students to experience the need for new vocabulary in activities like Polygraph to enhance understanding.

School is Uncool: The Good & Bad of a Formal Education

The Hard Fork by Marvin Liao • 216 implied HN points • 12 Jul 23
🚌 Education Schooling Learning Parenting
  1. Children start with wild creativity and courage but often conform as they grow older due to social pressures.
  2. To succeed, it's important to be authentic, think independently, and stand out from the crowd.
  3. Balancing formal education with informal learning is crucial for helping kids develop critical thinking skills and avoid becoming 'cookie-cutter sheeple.'

Deep Learning Weekly: Issue #293

Deep Learning Weekly • 216 implied HN points • 22 Mar 23
🕹 Technology Industry MLOps Learning Libraries & Code Papers & Publications
  1. This week in deep learning includes Microsoft 365 Copilot and emergent abilities of large language models.
  2. Learn about industry trends like signed parameters for ML model deployments and new AI startups.
  3. Explore informative posts on prompt engineering, computer vision in robotics, and papers on video generation and symbolic regression.