The hottest Code Substack posts right now

And their main takeaways
Category
Top Technology Topics

The Swift Compiler

Jacob’s Tech Tavern • 2624 implied HN points • 24 Dec 24
🕹 Technology Programming Software Development Computing Code
  1. The Swift language was created by Chris Lattner, who also developed LLVM when he was just 23 years old. That's really impressive given how complex these technologies are!
  2. It's important to understand what type of language Swift is, whether it's compiled or interpreted, especially for job interviews in tech. Knowing this can help you stand out.
  3. Learning about the Swift compiler can help you appreciate the language's features and advantages better, making you a stronger developer overall.

RLHF learning resources in 2024

Democratizing Automation • 435 implied HN points • 12 Jan 24
🕹 Technology Research Code Models Datasets
  1. The post shares a categorized list of resources for learning about Reinforcement Learning from Human Feedback (RLHF) in 2024.
  2. The resources include videos, research talks, code, models, datasets, evaluations, blog posts, and other related materials.
  3. The aim is to provide a variety of learning tools for individuals with different learning styles interested in going deeper into RLHF.

Simple Chart Annotations With GPT-4: Adding Context To Your Data Storytelling

Data at Depth • 39 implied HN points • 01 Mar 24
🕹 Technology AI Data storytelling Code Data Visualization
  1. Annotations add clear contextual information to data visuals, enhancing understanding.
  2. Adding annotations to data visualization with Python Plotly can be challenging due to nit-picky code requirements.
  3. Consider becoming a free or paid subscriber of Data at Depth to receive new posts and support the author's work.

Must Learn AI Security Epilogue: Securing AI is a Three-Pronged Approach

Rod’s Blog • 19 implied HN points • 25 Oct 23
🕹 Technology AI Security Code Data Access
  1. Securing AI involves three main aspects: secure code, secure data, and secure access. It is crucial to ensure that AI systems are free of errors, vulnerabilities, and malicious components.
  2. Developers and users should follow practices like code review, testing, data encryption, and authentication to mitigate threats such as code injections, data poisoning, unauthorized access, and denial of service.
  3. The shared responsibility model defines security tasks handled by AI providers and users. It is important to understand the responsibility distribution between the provider and the user based on the type of AI deployment, such as SaaS, PaaS, or IaaS.

Understanding, explaining and simplicity

Sunday Letters • 79 implied HN points • 31 Jan 22
🕹 Technology Design User Interface Code Understanding
  1. Explaining something to someone else helps you see how well you really understand it. If you can break it down clearly, then you know it well.
  2. Simplicity is important in design and communication. To simplify, you need to break things down to their basic parts and only keep what is essential.
  3. Before adding more to a design or an idea, try taking things away first. This helps in understanding the core of the problem and making things simpler.
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To Build or to Reuse? A CDK Question

Making It Up • 1 HN point • 11 Apr 24
🕹 Technology Infrastructure Code Cloud Computing Development Architecture
  1. CDK offers the flexibility to reuse existing resources or create new ones in your architecture for different environments.
  2. By incorporating conditionals and the ability to import resources via ARN, CDK allows code deployment into both fresh and existing environments from the same codebase.
  3. Using CDK, it's feasible to create custom constructs with logic for reusing or building infrastructure, making it simpler to manage and deploy resources across different states of environments.

3. Language, code, our minds and the future

Insight Axis • 0 implied HN points • 20 Dec 21
🕹 Technology Language Code Mind Future
  1. Our minds are influenced by the structure, content, and presentation of information, such as the language we speak, read, and write.
  2. Jobs won't be fully replaced by code and AI but rather evolve with these technological advancements, where humans will use computational tools to enhance their work.
  3. As programming becomes more common, our written and spoken language may change, simplifying sentences and potentially leading to a future where thinking in code affects how we write in prose.

Code and life musings

Ilia’s Newsletter • 0 implied HN points • 12 Jan 21
🕹 Technology Code Life
  1. The post is about code and life musings shared by Ilia Sidorenko, a lead developer at STQRY.
  2. The post includes a link to subscribe to Ilia's newsletter to not miss the first issue.
  3. Ilia encourages readers to share the post with their friends.

Performance of Domain-Wall Encoding for Quantum Annealing

Quantum Formalism • 0 implied HN points • 08 Mar 21
🕹 Technology Quantum Computing Datasets Code
  1. The talk about the performance of Domain-Wall Encoding for Quantum Annealing provides free access to datasets and code through a downloadable link.
  2. Those interested in course certification are encouraged to explore the paper and possibly challenge themselves by using it for practical work.
  3. Attendees of the session have the opportunity to ask questions directly to Nick, enhancing the learning experience and understanding of the topic.