"Subscribed for quick summaries of topics. Saves time. Googling and Youtube and collating info isn't convenient."
— RB
Making practical sense of software and AI.
How AI content detectors work
Learn how AI detectors work
I Let Claude Code Autonomously Run Ads for a Month
Applying the Ralph Wiggum loop to things other than writing code.
What's a datacenter?
What actually goes on inside the buildings propping up the US economy.
Loss Function
A loss function is something you design that tells the model when its answers are right and when they're wrong.
Transformers
Transformers are the neural network architecture that powers modern AI like ChatGPT, revolutionizing how models process language and other sequential data.
LLM
Large Language Models take in a prompt and generate text.
Loss Function
When training a machine learning model, a loss function is something you design that tells the model when its answers are right and when they're wrong.
Databricks is apparently worth $100B. What do they even do?
What we should really be asking is “What does Databricks not do?”
What does Alteryx do?
Alteryx is a group of tools that helps business teams get insights out of their data, without needing to write any code.
What's a Data Migration?
Data migration is about transferring information (data) from one place to another.
Kafka
Apache Kafka is a framework for streaming data between internal systems.
Metric
When developers monitor their applications and infrastructure to make sure things run smoothly, they set up metrics to track specific points of performance: how fast an API request gets fulfilled, the percentage of requests that fail, or even what % of total processing capacity is a server using up.
Segment
Segment helps teams track their product and marketing data and send it to whichever tools it needs to go to.
OpenAI
OpenAI is the most popular provider of generative AI models like GPT-4.
NoSQL
NoSQL databases are databases with no rules: you just throw your data in there and worry about it later.
Production database
The largest category of databases – both in terms of number of available options and total market size – is production databases.
MongoDB
MongoDB is a highly popular unstructured, NoSQL document database for powering your applications.
Elastic
Elasticsearch is a popular open source database for storing and searching unstructured data.
A Beginner’s Guide to Bring Your Own Cloud
The profitable but challenging deployment model sweeping the nation.
What's documentation?
How companies like Stripe win by writing better product docs, and where platforms like GitBook can help.
Developers hate this one thing (all about code reviews)
A deep dive into why code reviews take so long, how AI tools like CodeRabbit are speeding them up, and what great teams do to ensure clean code.
DevOps
DevOps is a process (e.g. a bunch of key practices) that helps teams take software they’ve built and make sure it works well at scale.
Continuous deployment (CD)
CD is a philosophy around pushing your code to production: instead of giant, infrequent releases, it advocates many smaller changes, even multiple times per day.
Postman
Postman is a suite of tools that helps developers build, test, and use internal and external API endpoints.
Zapier
Zapier helps business people make custom integrations between their favorite tools, without needing to write any code.
VPN
A Virtual Private Network (VPN) lets you route your internet access through a specialized server that keeps your sensitive information private.
Tokenization
Tokenization is one of the ways that backends protect sensitive information, like credit cards or social security numbers.
Snyk
Snyk helps developers make sure that the code they're writing is secure.
Okta
Okta is an enterprise-focused identity provider: they take care of managing usernames, passwords, and permissions.
"Technically has allowed me better bridge the gap between user problems and how our system works under the hood."
— Adelaide Hallowell
The profitable but challenging deployment model sweeping the nation.
Will RaphaelsonLearn how AI detectors work
Christy BieberWhat are prediction markets and how much revenue is Kalshi really making?
Sam SchneiderApplying the Ralph Wiggum loop to things other than writing code.

Finally, an explanation for why AI models can't seem to quit them.
Christy BieberEnough surveys and corporate hand-waving. Let's answer the question by looking at usage data from an AI compute provider.
Kenny Ning
AI models seem to approximate the brain, intentionally or otherwise.
Justin GageWhat their products actually do and why they're so valuable.
Quick explanations of the concepts you see every day.

Kalshi just raised a new round at an $11B valuation. How much revenue does their prediction market really make?
Sam Schneider
What's the forward deployed engineer role, and why is every startup hiring them?
Sung Won ChungCurated collections of foundational articles to guide you through the basics of getting more technical at work.
How to understand and work effectively with AI and ML models and products.
Breaking down what ChatGPT and others are doing under the hood
How AI models learned to stop being weird and start being helpful.
GPT-3 is a Machine Learning model that generates text.
Data Science Notebooks help data teams explore data with code.
The products and business models of leading software companies.
What we should really be asking is “What does Databricks not do?”
Snowflake sells a powerful cloud data warehouse for analytics and data science teams.
OpenAI is the most popular provider of generative AI models like GPT-4.
dbt (no capitals) is a tool for transforming and organizing data in your warehouse.
How to make positive contributions to your product roadmap.
Engineering and code basics that can make you a better PM to work with.
Code is step by step directions, but for computers.
A network of computers all connected to each other and sharing information.
Cloud is how companies rent infrastructure over the internet.
You've outgrown Excel, but you've got to put that data somewhere besides your parents basement.
There are 300+ databases; what do they all do?
If you’re not a data scientist but you have questions, you want to know SQL.
Why that schema change is going to take your engineers two weeks.
Why your feature is held up by a migration and why this is actually good.
How do these things actual work under the hood? What does it mean to train one? Is it more like going to the gym, studying for a test, or sleeping?
How computers learn patterns from data: the foundation for everything from stock price prediction to ChatGPT.
Breaking down what ChatGPT and others are doing under the hood
A deep dive into how models like ChatGPT get built.
Unlike an onion, hopefully these neural network layers won't make you cry.
How to make positive contributions when working with analytics and data science teams.
Product analytics is how teams instrument and analyze data about their product usage.
A deep dive into all of the tools that data teams use to do their work.
If you’re not a data scientist but you have questions, you want to know SQL.
The new set of tools data teams use to get their jobs done.