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Tom Veatch
Flames of inspiration often leave smoke signals behind.From mine, these.
| Tea Lady | Science can be fun and easy! Tea Lady is a web app for testing if an assertion holds up statistically. Great, easy, accessible, quick, observational experiments by anybody, anywhere. Tea Lady applies Fisher's Exact Test repeatedly as you do live data collection. A predicate, for some category X, and some property Y, is the statement that X's are Y. That could include anything. The truth of it, though, can be empirically tested with the Tea Lady on-line tool. You watch and classify: Observe the X's and Not-X's that occur or come by, and record whether they are Y's or not Y's. Tea Lady keeps count and gives you a P-value or significance measure.
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| Real Time Scrolling Spectrograph | Watching a time-frequency analysis unroll on the screen as you speak, whistle, or sing, is perhaps the coolest thing in all of speech science. I used one of these in grad school, so I wrote one when I had the chance. So amazing, so much fun! Speak slowly. Whistle! Do a scale. Say "why" slowly and watch your vowels evolve. Compare "you" and "yow". Compare high and low pitch. Go play! |
| Translation Graphs | A project for representing media and documents along with their translations. |
| Auditory User Interfaces | AUI is to GUI as ears are to eyes. In 27 years, little progress. This aspect of the Metaverse was conceived in 1995: a vision of how computers can improve our auditory environments, to benefit not just the blind but everyone with ears. Because the auditory channel carries more than just meaningless or musical background; it can be information-bearing as to place and source and content, so we could, should, enable our software to interact with us intelligently using those informational channels. Why not? Conceptual introduction, design specifications, killer applications, etc. |
| Teachionary language trainer | Fast, effective, and free audio-based vocabulary training in 18 languages. Iraqi / Arabic, Canadian French / Quebecois, Cantonese, Czech, English, Farsi / Persian, German, Hebrew, Hindi / Urdu, Japanese, Korean, Malayalam, Pashto, Russian, Spanish, Tamil, Turkish, Uzbek |
| IS: Information Structure | The IS cloud app generator creates a working single page web app for single-table database-connected tasks including Search, Create, Read, Update, and Delete. Used in examples like Dog and PM, Water Meter Readings, Tx transaction/receipts recorder, and soon HumBeep. |
| Community Capitalism | How to organize constituents to achieve shared goals: money-driven but not exactly capitalistic. There are idea specifiers, contributors, agents and engineers and producers of various sorts, and of course recipients. Long before kickstarter, this was an idea for crowd-funded prizes for crowd-implemented goals. Medical research, open source software, public goods of any kind, can be made to work with Community Capitalism. |
| Dog Name Database | Put your dog's name in here; see everyone's dog's names. |
| Notes from a Forehead on the Ground | After a week, a Friday night program, after the chanting, after the meditation, after darshan, comes a contemplation of oneness. A subset of Darshan Notes, selected for accessibility. Click "Choose One For Me Now". |
| Tom's Inventions | 15 inventions you might like. |
| Hum Beep: the Buy Protocol | A way to use digital money more safely, via a crypto enhancing protocol and system implementing the purchase and sale process. |
| Study Notes: Haskell | Aaron Vargo thought I should learn functional programming with Haskell. So I went as far as this cram sheet. Perhaps it'll help others as a brief summary. More likely, it'll sow confusion and doubt. Aaron first thought to say 'It could be more wrong', but later corrected himself to say, 'It couldn't be more wrong.' I await more specific corrections. |
| Study notes for Julia | Julia is a nice new computer language. Here's my cram sheet. |
| Study Notes: Ruby | Ruby is a popular language on the web. Here is my cram sheet. |
| Anti Software | Where Tom goes of on a rant against using software to run a pingpong tournament. |
| GitHub.com/tcveatch | My GitHub repo, little used. |
| A More General Theory of the Syllogism | Abstracting logic. Aristotle's
list of syllogisms missed half of them; there's nothing to them
(H!); and we can do better
without. Still it is pretty fun and cool, considering this was the intellectual pinnacle of humanity for 2000 years, and plus I'd say this is not a bad introduction to "term logic", and might be suggested reading for students of computer science, philosophy, classics, and/or math. |
| Neural Networks + Fuzzy Logic + Space | A careful, accessible introduction to neural networks
assuming only high school algebra and a little geometry and
differentiation. NNs are defined mathematically, along with how to
run them, how to train them (by the usual gradient descent), how
to train them better (so I suppose: using 'Newton-Raphson', which
really ought to kill!). I also discuss how to understand the
training algorithm's implicit reasoning about the adjustments it
decides to make; I share an interpretation that backpropagation is
like an Anti-Dunning-Kruger learning system (and therefore morally
superior to most men?). Then I give a whole Fuzzy Logic
re-interpretation of NNs, along with suggestions on how to enhance
their logical reasoning capabilities. I tried the wikipedia page,
and got so frustrated I wrote my own introduction. So yes, I
suggest reading this if you want to really understand neural
networks, and if your other resources have made it seem
inscrutable. It's a few pages of actual math, yes, but all the
steps are laid out: no leaps! It's not short, but you don't have to be
a math major to follow along. I encourage your
study here if you are interested in really knowing how neural
nets work. Also this adds Fuzzy Logic to neural networks, including how to train them. Finally this goes into Space Representing Neural Networks so robots can represent space, or humans' representation of space can be understood better. Three months of work is in here. |
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