Welcome to my notes! I regularly publish notes to better understand what I’ve learned and to explore new ideas. I would love to hear from you—leave a comment or reach out on Mastodon @alexkehayias.
What’s on my mind lately?
Today there is an abundance of everything. Shows to watch. Content to read.
Some anecdotes as I readjust to life on the east coast.
The product or service in which, value goes to users first and then, upon capturing a mass audience of users, provides values to suppliers.
An AI agent is an intent-based abstraction that combines LLMs to plan and take action in order produce a desired goal.
Several startups are touting AI employees that you can hire to perform a specific function.
A common question in product management that always seems to come up is some flavor of: should product managers be technical?
Notes on the video 13 Years of Brutally Honest Business Advice.
Writing is like taking an idea and turning it into a rigid object.
According to the Bureau of Economic Analysis, the contribution to US GDP in Q1 2024 of professional services industries was more than double that of information industries (which includes softare publishing).
Using org-mode and org-roam can make a rudimentary CRM system for logging interactions with people, companies, or any other contact.
Software abstractions save us time doing work by not having to write programs from lower level building blocks.
A problem that crops up often in web design is centering.
Working asynchronously is an important reason why remote teams work. However, it can devolve into anti-patterns.
Using a UI is a form of deductive reasoning that takes effort.
Low bitrate audio codecs are primarily used for downscaling audio for slower internet connection speeds and supporting older devices.
I recently shared some observations about trying to use generative AI tools at work and shared the experience on LinkedIn.
I hear it often enough that it seems like a commonly held belief that anxiety somehow improves performance at work and gives one an edge.
Here are the most useful metrics I’ve found for running a startup.
This note does not have a description yet. Links to this note LLM Latency Is Output-Size Bound
As it stands today, LLM applications have noticeable latency but much of the latency is output-size bound rather than input-size bound.
Most of my tasks and projects are organized using org-mode. I was looking for a way to query them from an LLM and, rather than recreate an index and a database, I can use what I normally use, org-ql using emacs in batch mode.
A recent study from Stanford found that LLM’s (GPT-4) and RAG-based AI tools (Lexis+ AI, Westlaw AI-Assisted Research, Ask Practical Law AI) hallucinate answers 16% to 40% of the time in benchmarking queries.
The way to make everything in your codebase twice as complicated is to make data nullable.
While I don’t write code every day, I find it incredibly convenient.