B&W photography and the benefits of looking up!

In black and white, architecture transforms into pure form—sharp lines and intricate textures stand out, while windows become portals to another world. The absence of colour forces the eye to focus on structure, light, and shadow, revealing the timeless beauty of built environments.

Looking up at the National Art Gallery in Ottawa, the stark contrasts of its glass and stone façade come to life in black and white. The sharp edges and sweeping curves of the architecture create a powerful dialogue between light and shadow, revealing the gallery’s majestic presence.

Looking up at the Maman statue outside the National Art Gallery in Ottawa, its towering, spider-like form becomes an intense study in contrast. The black and white frame emphasizes the intricate details of its legs and body, casting dramatic shadows that evoke both awe and vulnerability.

Fables at the National Arts Centre

Really enjoyed this work by Virgine Brunelle the other night at the National Art Centre. After a pretty awesome meal at 1Rideau I sat down for a sensory explosion of both visual and audio sensations.

In Fables, Virginie Brunelle creates a visceral exploration of chaos and resilience, where contemporary feminine archetypes collide in a raw, primal dance. Drawing from her background in violin, Brunelle intricately weaves rhythm and movement, pushing the boundaries of traditional dance. The performers’ bodies, mostly naked and raw, amplified by their breath and cries, move through a sonic landscape composed by Philippe Brault and performed live by Laurier Rajotte on the piano, embodying a world in turmoil yet yearning for hope and humanity.

A particularly striking element is the immersive audio experience in the opening set, where a cast member swings a microphone close to the dancers, amplifying their physicality. This not only heightened the intimacy of the piece but also allowed me to feel the dancers’ movements—every breath, every collision becomes a tactile experience. Very immersive. The live soundscape intertwines with the dancers’ raw physicality, drawing the audience deeper into the emotional urgency of the piece. This fusion of sight and sound creates a profound connection, turning the stage into a space where chaos, music, and movement converge in a shared sensory reality.

More ChatGPT: learning about how to learn about er, learning.

Or how I am spending too much time on ChatGPT. ChatGPT is now being incorporated into the Bing Search engine BTW.

And forget about the hand wringing about teachers being underpaid to read computer generated text or the oft-repeated end of the humanities, most dangerously, this will make it easier for people to write malware.

In terms of data literacy, literacy is literacy, right? So I asked ChatGPT to give me a simplified overview of what it does when a user types text into its interface. As an aside, I have been testing it with gibberish much akin to the Turkish thriller Hot Skull (see another post): communication (ergo civilization) depends on iterative translation of understandable context and content – the Chomskean reference in the first episode of the show, I assume.

As you can see below from ChatGPT’s response it is straight forward semantic analysis but this semiology is, to me, not the same as that for humans: machine semiotics ≠ human semiotics. But how is it different is what I am most interested by. Can machine dynamic semantics be trained solely using iterative utterance pairs? What can I learn about human learning from learning about machine learning trying to mimic human learning. Am I caught in a cyclical redundancy error?

When I receive a user's input, here is a more detailed explanation of the process I go through:
For example, I know that verbs are often used to describe actions or states of being, while nouns are used to name people, places, or things. Adjectives are used to describe nouns, and adverbs are used to describe verbs, adjectives, and other adverbs.
1. Tokenization: The first step is to split the input into individual words and punctuation marks, a process called tokenization. This allows me to analyze the input at the word level.
2. Part-of-speech tagging: Next, I assign a part of speech (such as noun, verb, adjective, etc.) to each word in the input, based on its definition and its role in the sentence.
3. Dependency parsing: I then analyze the relationships between the words in the input, taking into account their grammatical roles and the structure of the sentence. This allows me to understand the meaning of the sentence as a whole.
4. Sense disambiguation: If a word has multiple meanings, I use the context of the sentence and the rest of the input to determine which meaning is most appropriate.
5. Entity recognition: I also try to identify any named entities (proper nouns) in the input, such as people, places, and organizations.
6. Response generation: With all of this information, I can then use my knowledge and understanding of language to generate an appropriate response. This might involve looking up information, using my pre-defined responses to similar inputs, or using my understanding of the user's intentions to formulate a response.
In order to determine the role that a word is playing in a sentence (also known as its part of speech), I use my understanding of grammar and the relationships between words.
By analyzing the relationships between words in a sentence and their definitions, I can determine the part of speech of each word and understand the overall meaning of the sentence.

I followed up with a question about what item 4 was, which seems a key step in its assignation. How does it connect content with context?

Sense disambiguation is the process of identifying the correct meaning of a word in a given context. Words can often have multiple meanings, and it's important to choose the right one in order to understand the intended meaning of a sentence.
For example, the word "bass" can be a noun referring to a type of fish, or it can be a noun referring to a low-frequency sound or a range of notes in music. In order to disambiguate the sense of the word, it's necessary to consider the context in which it is used. If the word appears in a sentence about music, it is more likely to refer to a range of notes, while if it appears in a sentence about fishing, it is more likely to refer to a type of fish.
There are a number of techniques that I can use to disambiguate the sense of a word, including analyzing the surrounding words and phrases, considering the overall topic of the conversation, and using my general knowledge about the world. By using these techniques, I can choose the most appropriate meaning for a word and better understand the intended meaning of the sentence.

ChatGPT miscellany

I asked ChatGPT is come up with the plot for a cop buddy movie between a person (me) and an AI program. While not going to win points for originality, I am really intrigued by the two “mishaps and misadventures”, i.e. fire alarm and the vending machine.

I’m also interested that I didn’t provide the name or gender of the AI but I wonder if the word “sassy” would have been used if the name chosen wasn’t a “feminine” name. This may be an example of learned bias being reinforced.

The movie follows the adventures of two unlikely partners: a bumbling police detective named Michael and a sassy artificial intelligence named Alice. When Michael is assigned to a high-profile case involving a string of robberies, he is paired with Alice, a newly developed AI designed to assist with investigations.
At first, Michael is skeptical of Alice's capabilities and unwilling to trust a machine to help with his work. But as they team up to track down the perpetrators, Michael starts to see that Alice is more than just a machine - she is a valuable partner with her own unique skills and insights.
As they work together to solve the case, Michael and Alice encounter a series of hilarious mishaps and misadventures, including accidentally setting off the building's fire alarm while trying to hack into a computer, and getting into a heated argument with a vending machine over the price of a snack.
Despite the challenges they face, Michael and Alice always manage to come out on top thanks to their combined wit and determination. In the end, they successfully crack the case and bring the perpetrators to justice, becoming the most unlikely crime-solving duo in the city. As they celebrate their victory, Michael realizes that he has learned to appreciate and trust Alice's unique abilities, and the two vow to continue working together to keep the city safe and laughing.

Pranayama and Meditation resources – One

Each time I practice I look to one or more of the following thoughts – what do I confront? What do I transform? What do I integrate or innovate? I always like to have a clearly stated intention when I begin.

I intend to assemble here and in subsequent posts, accessible objects that I use in my daily ritual.

I begin each day during brahma muhurta, one hour and thirty-six minutes before the rise of the sun. This is the penultimate muhurta, a period of 48 minutes – 1/30th of a day. Sunrise in Ottawa today was at 7:38.

I will digress that this word muhurta in Sanskrit is made up of two sounds that refers to the immediate and to how this immediacy functions as an ordering – a perpetual now found in thinkers familiar in the Western tradition from Heraclitus to Nietzsche to Latour.

I will order my bed and brush my teeth before I begin my wake-up routine of pranayama and meditation. I was told a long time ago that monks always start with ordering their space in preparation for practice which makes a lot of sense to me even though I am no monk. And while my meditation always begins during brahma muhurta, my pranayama may end after sunrise.

My goto app in the morning for meditation is Oak. I dont use it any other time except for my morning routine. It is a habit. Its free and does exactly what I needed it to do when I started this ritual when I was at home during the pandemic. It show my progress (good for motivation since I easily depreciate my accomplishments) and has both breathing and mediation timers including box breathing. I dont’ use it for Tummo sessions which I will describe in another post.

Oak is pretty basic but a nice GUI and breathing shouldn’t be anything but basic anyway. IOS only. I did pay for the course and it was worth the 2 bucks I paid, if, for nothing else, as an offering to initiate my ritual.

My current streak. Its on my old phone too so I always bring it with me when I travel since even though the app is on my new devices, my streak record is only on this phone and I cannot break the chain!*
*Breaking the chain refers to Jerry Seinfeld's rule about being successful at things - using a visual indication - in his case a calendar where he puts a big X each day he writes jokes. By having a visual cue, it was much easier for me pay attention to creating rituals and habits. It is ritual, according to Oscar Wilde, that is the origin of religion and, for us moderns, the basis of Cognitive Behavioural Therapy too. 

I was using pillows on the floor or a chair and decided to upgrade my meditation setup during the pandemic. Again, like breathing, this should be simple. I started on a chair and laying down. And even my zabuton from Half Moon, while comfortable, isnt perfect but all you really do just need to sit. Or lie down. Pretty simple. Don’t buy anything, all you need is your breath.

I still enjoy and watch this series : 7 Days to Mindfulness with Kirat Randhawa. I appreciate her calm demeanour in this series along with some guidance on topics such as finding your centre and how clarity and curiosity work in the meditation process and its use in day to day life when I am not in mediation. I also watch Netflix’s Headspace Guide to Mediation which was very accessbile and enjoyable. It was a great beginner resource for me when I initially found it, a perpetual beginner.

I come back to these teachings once in a while and find new things in them, each time! Next up, my pranayama practice and books!

Links for the week of December 12, 2022

A lot of people are talking about the new algorithmic “chat bot” that will, according to some, herald the end of the humanities as we know them. And while I have found some super interesting things that the chat-bot can do with “simple” prompts, it is quite interesting to reverse engineer some things that you might take for granted. More to come on this as I tinker.

The link that I will suggest is that StackOverFlow has added a new, temporary, policy directly about the use of Chat GPT stating that, among other things, the requirement for citations and the ability of the community to judge how accurate the answer responded to the query posted is core to this action. It is this latter part that is most interesting to me: persons with subject matter expertise may interpret the initial question (stimulus) and suggest what the requestor really wanted to know with this line of inquiry. See Metaphoric and Metonymic knowledge by Roman Jacobson and his influence on Lacan and Barthes. Chomsky too, for a delicious connection with Hot Skull below.

And while I tend to avoid Canadian politics, I will suggest that the fact that Canadian business people actively sought and received public COVID aid and then didn’t spend it for its intended purpose of employment is pretty fucked up. I appreciate this type of reporting from Jacobin.

I finished two television series this week, both well worth the time. The first is Mike White’s White Lotus, season 2. Review on Jacobin here that I found after reading above mentioned article about corruption. White Lotus is filled with lots of great characters and the scenery in Sicily was awesome with Mount Aetna in the background as in my screenshot below. I am excited for season 3. And hope to see more of Jack from Essex who, like the son in Season One, remains hopeful although broken. Will Greg make an appearance in season 3? Portia? I’m eagerly awaiting its arrival!

As I explained to a colleague, what I loved the most about White Lotus was that the initial episode (the beginning) was the end of the story but I was constantly amazed at how things that I assumed were true as the story progressed only appeared that way because of how I initially interpreted key scenes from that first episode. Great storytelling that showed many of my own biases and affectations with various herrings strewn about. It certainly kept me entertained.

And TIL that the writer, Mike White, was on the US reality tv show Survivor.

The White Lotus Season 2 – Mount Aetna spewing lava

The second series is Hot Skull from Netflix Turkey. I loved the back drop of Istanbul. A virus spread by speech that drives people into confusion and stupor? Certainly intriguing. It was in the first or second episode where they mention Noam Chomsky and fitting this pandemic along with an ambitious leader exploiting the crises for his own self aggrandizement is a recipe for success.

Hot Skull

News from the Net – Last Week of November

I spend a lot of time online, as many do. Even this website is mostly just used for my own purposes, the WordPress front to this site is a vanitas project that I mostly used while I travelled but who travels anymore. I still code in the background but have been struggling to make posting a habit.

To that end, perhaps I will add links to stories that I enjoyed reading. I told myself that this was a great way to collect data on what I am paying attention to. That was enough to motivate me. I think. I’ll start tagging posts too that will help me create metrics for the data collection exercise.

First up, China. I have many unpublished writings on the geopolitics of China and Ukraine, mostly related to the historiography of Diplomatic History. My draft folder is replete with stories about the decline of empire but as I incorporate more and more history back into my “Cold War” reading list, I realize how important writers such as Odd Arne Westad are still changing my thinking about these issues as much as Melvyn Leffler did in grad school.

This Wired article about the protests in China is the most important piece from this week. COVID mobility restrictions is increasingly oppressive in many areas as officials struggle to immunize this vast population. Couple this with the inability of Xi to take full advantage of the transition of Hong Kong and the death of Jiang Zemin, and it is no wonder that the ghosts of Tiananmen are on the mind. Funerals and earthquakes tend to be external events that motivate social change in China.

The vector to technology and the Great Firewall of China is important. PRC have loosened mobility restrictions in Guangdong province but doing this may fuel discontent in other regions as they learn of this. Can central authorities maintain message control in the light of this “white paper” revolution?

This book on Basquiat is the book release of the week (I type this like it is a thing), but art history remains central to my reading and how I spend (too much of) my time. I am working on an article on Philip Guston and one thing that I am constantly reminded of in his late work is the street graffiti of New York. And while Basquiat is normally seen through the eyes of Warhol, Guston may be more appropriate in an asemic, object oriented, perspective. I’ll write more when I get this book. It will go on the list.

So two links for this week. More to come.

Zhuangzhi

I settle my body like a tree stump.

I hold my arm like the branch of a withered tree; out of the vastness of heaven and earth, the multitude of the myriad things, I am only aware of cicada wings.

I don’t wander or waver, and I would not take all the myriad things in exchange for the wings of the cicada.

How could it be that I’d fail to succeed?