After generating Text-Art using ATAG, one can further process it like via a word processor or art program so as to turn the originally plain text creations into more captivating artworks such as this colourized Text-Art sample here.

Transforming Executable Alphabet a general-purpose computer programming language that is text-processing oriented, enables a sequence-transformer chaining paradigm, and which is designed based on a set of 26, decorated or qualified single-letter primitives, A: to Z:

TEA's tttt package v1.3.6 is now out!

 
curl -Ls https://bit.ly/installtea | bash

This is the first official update of the TEA tttt package in 2026. With this package comes some great improvements to the TEA standard, now at v1.3.6 for both the WEB TEA and general/CLI TEA reference implementation. Also, as part of the standard Linux TTTT package, we now include both ZHA (Zee Hacker Assistant) and AMC (Advanced Mathematics Computer), which are two TEA programs that are part of the growing (30+) TEA standard applications currently available in source, but also as interactive programs via the WEB TEA IDE --- https://tea.nuchwezi.com

So, definitely install and get started or continue using TEA to simplify, resolve and further your computation needs via the best general-purpose language for sequence transformers and text-processing that is also cross-platform by design! Interesting to note, is that as with many TEA programs, applications such as ZHA and AMC are not only usable both on web and off-web, but also usable with or without internet/network connectivity. So, definitely visit the TEA project and checkout many more example applications to kick-start your TEA explorations across many scientific, business, industry and academic domains.

#advances #tealanguage #nuchweziresearch

In this mini (meaning very brief) video lecture, Fut. Prof. Joseph Willrich (currently Nuchwezi Research) introduces one of the most vital and generally useful results from research in developing the new Mathematics of TRANSFORMATICS thus far;

ADM, the Anagram Distance Measure, is introduced, and we see how it might help anyone quantifiably evaluate if any two sequences (ordered sets possibly with redundant elements) are similar (equivalent) or dissimilar, and by how much (ADM results in a real positive number):

0 ≤ A(𝚯→𝚯*) ≤ 1 ≪ ∞ 

This theory is being used to develop new methods of sequence analysis, with applications (thus far) in GENETICS (applied biology), Hemomath, Statistics, Machine Learning, Cryptography, Esoteric Science and more...

Checkout and follow progress on this front via:

1. JWL Scholar Portfolio: https://bit.ly/jwlgsch

2. The TEA Project: https://tea.nuchwezi.com

and upcoming book on TRANSFORMATICS for GENETICS:

https://bit.ly/transformaticsGENETICSbook

#lectures #blackboardadventures #profjwl #nuchweziresearch #transformatics @bclectures ---[YouTube.com/@1JWL]

Here comes the associated Interview...

[INTRO+Greetings]: Interview and Meta-Review of Transformatics Introductory Lecture of 3rd FEB 2026

[PART 1: Intro, Q1 - Q5]: Interview and Meta-Review of Transformatics Introductory Lecture of 3rd FEB 2026

[PART 2: Q6 - Q8]: Interview and Meta-Review of Transformatics Introductory Lecture of 3rd FEB 2026

[PAPER]: Interview and Meta-Review of Transformatics Introductory Lecture of 3rd FEB 2026

[PAPER]: Interview and Meta-Review of Transformatics Introductory Lecture of 3rd FEB 2026

■■■■■■[ABSTRACT]

A video mini-lecture on the new mathematical theory of transformatics, as applied to basic sequence analysis was delivered on 3rdFEB, 2026 by inventor of the theory and also principal inves-tigator on the Transforming Executable Alphabet (TEA) computer programming language project — currently one of the best examples of how transformatics can be applied in practice. The lecture was the first to be delivered explicitly for the purpose of introducing transformatics to new audi-ences, and it happens to have come at a time when the most critically important work on formalizing Transformatics — the “Transformatics 101” mini-thesis, a review and distillation of all earlier work underlying transformatics, is undergoing further revision, and is also being integrated into an upcom-ing book on applying transformatics in genetics (slated for 2026). However, not everyone coming to transformatics has fair footing in the associated background theory and ideas, and thus this necessary paper, that is actually in the form of an interview, in which Joseph responds to 8 important problems raised by members in the audience concerning that introductory lecture, especially touching on; the notation used in transformatics, the important matter of dif f erent kinds of symbol sets, the Anagram Distance Measure (ADM) introduced in the lecture, and what lies ahead beyond just the ADM for interested students and researchers. The material has been presented almost verbatim — with some questions being presented in the native languages (Ganda/Luganda and Cwezi/Runyakitara) as they first came to us — all based on the points solicited from community members since the lecture first went online, and the answers are then augmented with sufficient references to existing transformat-ics literature to help galvanize the discussion and make this paper serve as an authoritative future reference too.

#talkshow #interview #internetcommunity #transformatics

■■■■■[Interview Links]

Intro & Greetings (13Min):
[V]https://youtu.be/mOyKbwNgrRw
[A]https://t.me/bclectures/1265

Part 1 (Q1-Q5) (~1Hr):
[V]https://youtu.be/v4avGnGrmyI
[A]https://t.me/bclectures/1266

Part 2 (Q6-Q8) (30Min):
[V]https://youtu.be/ZAIi0cyZJcI
[A]https://t.me/bclectures/1267

Congratulations!! Our paper has been Announced globally!

Preprints ID: 10.20944/preprints202602.0634.v1
Title: An Interview and Meta-Review of Transformatics Introductory Lecture of 3rd FEB 2026
DOI: https://doi.org/10.20944/preprints202602.0634.v1
Link: https://www.preprints.org/manuscript/202602.0634/v1

Currently seeking further collaborators, a journal to host further work, and students to teach/learn from what we have accomplished!

Cheers! Nuchwezi Research, Makerere University & Oxford University