AI reduces the cost of certain tasks to effectively zero. In doing so, it lowers the barriers to domains that would previously take years to build skills such as writing code, data analysis, and more.

The easiest way to export a d3 visualization is to use svg-crowbar bookmarklet from the New York Times.

When interacting with a chatbot, there are not indications of what to say or how to say it.

B2B SaaS businesses targeting enterprise customers that want to be in good shape to raise their Series B during a downturn need to have a run rate of $7-10MM ARR, growing at 2-5X year over year, gross margins 75-85%, and an LTV to CAC ratio of 3-5X.

There is a surprising link between universality and NP-complete problems in computer science.

The recent success of large language models like ChatGPT have led to a new stage of applied AI and with it, new challenges.

In a recent study, researches looked at the effects of automation on in a supermarket.

There are many different layers to the web that people inhabit.

As it turns out, combining large language models together can create powerful AI agents that can respond to and take action on complicated prompts.

Consciousness is an emergent property of categories. As a sufficient number of categories can be represented in a system, selfhood arises and, with it, consciousness.

Sometimes problems you encounter need an outside perspective to help you figure out what to do.

I had previously observed that humans are the great interop layer—we are the glue that fits together disparate processes and tools into usable systems.

When building large complicated things, there are two primary strategies that optimize for different things—layering and chunking.

While large language models are already useful for certain text based tasks, connecting them to other systems that can interact with the outside world poses new kinds of security challenges.

According to a recent presentation by Redpoint, ARR multiples for Series B and C companies dropped sharply from the all-time-high in 2022 (100x) to a more sober 39x, representing a 4x premium compared to public markets.

One of the super powers of large language models is that it can “do what I mean” instead of “do what I say”.

Deeply theoretical fields don’t necessarily translate to highly practical fields. Economists don’t typically do well as investors.

A recent paper looking into the economic impact of large language models found that the legal industry has the most potential occupational exposure from AI including augmentation or substitution.

One of the silver linings of the COVID-19 pandemic is that work and place are decoupling is increasing the radius of economic opportunity.

There are many barriers to adoption for a new programming language looking to go mainstream.

After using it for a few coding projects recently, I find that ChatGPT is a great way to lower the barriers to building smaller, self-contained projects—things that have been hiding in your to do list that take a bit too much effort to attempt but is still a good idea.

I’m messing around with ChatGPT in Emacs and I want to capture the results of a session in org-mode.

There are a few packages and libraries that are being built to use ChatGPT along with Emacs.

One of the limitations of large language models is that it is often missing context when responding.