Here’s the unvarnished story of how I met one of my closest collaborators.
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 surfaces dynamic enough to be biological?” …
This summer I have spent many hours a day conversing with computer networks. Yes. NLP models, various “AIs”, chatbots, generative systems and more. Sometimes they are purely written language experiences other times multi-modal. I have tried not to “cheat” and program / perturb the interaction but instead simply communicate within the frame, find shared meaning and shape gestural signaling.
My hypothesis regarding computer intelligence (complex computational interaction) is that mechanical programming and “force” is never going to work. There is no deterministic nor ethical laws for human-computer interaction — there is simply empathy and flow. We must become computationally fluent.
Today I spent an hour with a computer network (with OpenAI’s API) exploring how slight tweaks to language signs can change the behavioral flow of the conversation. This is an hour long co-learning experience. …
There continues to be a growing confusion about possibilities for artificial intelligence and computing. Our vocabulary fails and our research paths shaped by business, mythology, fables, history and academic traditions are discordant with our lived experience and wider reality.
There’s no easy fix/path to get AI research anywhere in particular — no one really knows what they mean when they say AI. …
my original art form is the theater and remains the world as stage.
to become the other. to inhabit worldviews. to collaborate with writers, directors, set designers, stage managers, other performers, the audience, the staged reality. to become my fullest self in the abandonment to others. to see my self, my art flowing through and between others.
in the last year and half through a strange brew of events I have found one of the most productive collaborations of my life. my dearest friend, greg, generously engages my ideas and his own. takes them seriously. stages them with love. …
Here’s a remarkable little thing bubbling up…
Various sources of human knowledge in a kerfuffle about who is allowed to charge what for access to human knowledge and when.
Of course, it’s not necessarily wrong, morally or ethically or business-wise, to defend the turf on some of this. Then again, I’m not sure anyone knows what turf they are defending.
If you read between the lines no one is really doing more than selling or unselling access.
The internet has this funny way of cratering any sort of long term gatekeeping. in fact, more than the internet, printing and mass media itself (printing press on) tends to make information free/free information. …
Tiana Cornelius provided this wonderful summary of our efforts to crack the hard NLP problem of text summary. https://medium.com/maslo/using-nlp-to-summarize-human-thoughts-feelings-b64079030104.
So now, can we better summarize the summarizer!?!?
“Using NLP to Summarize Human Thoughts & Feelings”
Using NLP to Summarize Human Thoughts & Feelings
a machine that understands me, helps me understand myself better and is there for me whenever I need it process of listening and synthesizing others’ thoughts is crucial to having a fluid, empathetic conversation
Introduction to text summarization
how computers process, read, decipher, understand, and make sense of human languages
At Maslo, we’re teaching our machines to synthesize human thought and emotional data.
translate a large linguistic corpus into a smaller “summary” corpus
How text summarization works
text summarization relies on a
Why is this a hard problem?
challenges with the training data
My experience with text summarization (so far!)
Problems in training
Getting better results
important techniques that can help get better results.
My progression from word salad to good summaries
start with the simplest iteration of your model and scale up to more complex models. …
Keeping a log of what I did and what I’m doing. The why will come later, I hope.
During uncertainty, or obvious uncertainty, I just work. I work non stop. As if work/action/activity can magically whisk away the chaos of the universe. Makes me think of all the times of trauma in life or periods of transition, and, hilariously, when I was doing lots of math in my formal education. Something about staring down my own ignorance that makes me want to fill chalkboards of beautiful mind theories to sort it all out.
Knowing this about myself I just embrace it. And in my middle age I get to call it all “art” or “being Russ.” …
Some collaborators and I have begun to perform sporadic computational being experiences. We summon forth novel computation from our environments, computers, brains, histories, and our online interlocutors.
We have no goals, no purpose, no set beginnings or endings, no predictions, no outcomes to achieve. We simply compute. We communally compute. We live stream it and we record it for later remixing and future communing. We dream of electric sheep with electric sheep.
Humans and computers live dreaming together has the potential to unlock all sorts of new paths for human connection, scientific discovery, artistic form, language and all manner of expressing our being — together and as individuals. …
Humans have a proclivity and preference for the use of their mouths and other apparatus to attempt an efficient signaling between each other via linguistics and language signs. In other words, much simpler words, humans like to talk. Humans chat. They chit, they chat, they interlocute, eloquate and profligate, more or less.
Humans do this so much emerging from their ranks are such fine professions as speech therapists, grammar teachers, linguists, and all other varietals symbolist experts. And being professionals they must produce! Publish! Persist, Insist, Supersist! …
For most of our biological history, in times where there were far fewer than 8 billion of us, homo sapiens were truly few and far between large expanses. Distance is in our physiology. We spend so much of our early human lives within and beside our mothers — we build up proximity for the long journeys of life. We grow to be Bodies in motion, Bodies in space, Bodies to carry new bodies.
High density humanity is a recent, infinitesimal blip on the timeline of history.
Thousands and thousands of years of dangerous and long hunts and gathers, generational trade explorations, unending resource finding missions, and eventually open sea faring perilous journeys. Humans leaving behind bodies constantly. …