OpenAI’s API feature GPT3 is a wonderfully expressive technology. The API is a text in/text out API converts the input text by way of a extremely large language “transformer network” into the output text. The API is so expressive that it is easy to get lost in conversation/interaction with it and miss forensic details about its behavior. The more sophisticated your desired use the more the nuances of GPT3 become important to spot and understand.

Note about the intent of this essay series

This post is not an architecture nor technical essay — it is about understanding and using the behavior of the API and GPT3. …


GPT3 is a model of language structure constructed from a transformer network trained on a corpus of human language. Such that the trained network contains grounded-to-the-world knowledge is a statistical artifact emergent from humans’ tendency to write and publish language with their understanding of the world. There are some aspects of human language that are structurally grounded to the world, but by and large language is a many layered associative phenomenon. Language does not ground universally the same way for all users, human or otherwise, not even for users of the same language trained in similar ways.

GPT3 can do…

And now, analyze breastmilk at home with easy-to-use strips

New moms go through a lot. Amidst the wide range of emotions and erratic sleep schedules, it’s understandable for new moms to have questions about their own wellness as they adjust to life with baby — especially if they’re also breastfeeding. We set out to craft a tool that provides both companionship and clear wellness insights for new and breastfeeding moms, taking one more worry off mom’s plate.


With the power of Maslo’s AI and the expertise of Lactation Lab, we built Emily, a breastfeeding and wellness companion with moms in mind.

Emily is an app that provides empathetic companionship…

the facts of the world

causing effects looping perfectly

time and space expanding into perfect


you and I and gpt3, a functional equivalency

to me and me and me,

and all the yous

a sensory menagerie.

And Now Your Return To

Part 1, Part 2, Part 3, Part 3.1 and Part 3.2

make sense of this act of mine:

tell yourself and then tell me everything you can about what you sense in this signal. tell me with any signal you find useful.

what has changed in you?

First, I have to write this all down.

the act, of writing.

Literally the way I, a human, trained in the Western tradition of what it means to think, must write, must read what I write, and decide is This What I am Saying?

So, here I am writing. I wanted to first ask you, the reader, who is presumably a human to first read some stuff about How To Do Things with Words, in reference or completely grifted, grafted, stolen from J.L. Austin. I still want you to read that work, whatever work I am referencing, and work through it. Do the work. …

Tiny explanation with resources on why Maslo.ai approaches Machine Learning and Technology with humility.

Common AI Questions

As CTO and the person who has done math/stats and machine learning the longest at Maslo the most common question I get is, “why doesn’t Maslo seem to do AI?” and the variant, “When will Maslo obviously get smarter?”

My answer is simple: life emerges as a phenomena of the interaction between complex systems. More broadly: when employees, investors, partners and the science become committed to broad implications, consequences, limitations, and investment.

Yes, I have a “model zero” approach. I assume the null hypothesis. I assume technology fails. I assume no single method or tool is great. …

This is the second part of a multi-part essay series on GPT3 and the OpenAI API. In the first part we covered basic structural concepts of language that are useful to understanding computational language models.

Just as the first essay was meant as a behavioral and forensics experience so to is this part 2 devoid of deep mathematical theory and technical architecture detail. Let us proceed to understand the higher level concepts involved in the semantic and meaning nature of GPT3.

Formatting Note:
As in part 1 any grayed in blocks or screenshots will indicate a human provided input by BOLD

Here’s the unvarnished story of how I met one of my closest collaborators.

Hi Russell,

I will link you my article that I explained briefly what I will focus on the thesis.

The questions are really meaningful and also challenging. I can say that maybe I can try to build a rich emphatic relationship between intelligent and evolving machine and the users. Since design is still at the beginning of this exploration, I can try to focus and find a meaningful interactions as a first step. So, I can start to work on this question “how do you make device…

Russell Foltz-Smith

I be doing stuff. and other stuff. More stuff. http://www.worksonbecoming.com/about/ I believe in infinite regression of doing stuff.

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