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#markov

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I’ve created my own #Markov #Bot: RoboMOULE!

Inspired by others’ Markov / “ebooks” bots, @RoboMOULE will string words from 2,696 of my toots and toot in the style of me every 2 hours. Some of the results are already hilarious! :MOULE_Ha:

Thank you to @Erpel for making the Mame-Brot source code this bot uses: codeberg.org/fotoente/Mame-Bro

It’s my 5th bot! All my bots (@FediEverything, @ESEverything, @EverythingNow, @BAEverything, @RoboMOULE) will toot every 2 hours; 24 minutes apart from each other.

Been working on this project for a while, but think I'm ready to make it public. Hope to write more about it soon.

"The videos you are seeing are news clips from the day before today.

The text is generated from the subtitles for those videos, alongside a journal of mine from late October to early November 2016.

The video ordering is purely random, but the text follows its own internal logic. "

yesterdaysnews.today/

yesterday's newsyesterday's newsThe videos you are seeing are news clips from the day before today. The text is generated from the subtitles for those videos, alongside a journal of mine from late October to early November 2016. The video ordering is purely random, but the text follows its own internal logic.

I don't remember much about #Markov Chains, #Random-Walk. Fokker-Planck. Jeez Louise. Scratched around trying to read and understand stuff. Fortunately at the time, my advisor cleared the decks, said don't bother, here is a 2-D #Gaussian dispersion model I wrote in BASIC. Re-write it in #FORTRAN and add two flavors: a #Lagrangian and a K-theory particle dispersion model, for a convective boundary layer. Use those formulations for a connective boundary layer you learned in Turbulence.

i’ve built a daft “fake terminal” for my domain bleepbloop.net/ because I wanted to play with a #Markov chain text generator (a module which is trained from text you supply to it, and it uses this dataset to generate “predictive text”) and simulate what a malfunctioning AI assistant who’s circuits are frying might say as it is shut down. Think “Hal at the end of 2001 as the processors are being shut off”. I’ll probably continue tweaking it but it’s fun enough to share.

#MultiTarget tracking airborne #radar systems have been implemented using traditional #statistical techniques. Blackman's 1986 textbook is the leading publication on this subject.

Multi-target tracking is a sophisticated application of the fundamental idea behind the 1960s #Kalman filter—sequence prediction—which began with the 1900s #Markov chain. In the 2020s, #LLMs are perhaps the most appropriate technique for solving this age-old, tough problem.

RIP Dmitry #Markov

Gestern ist nicht nur Alexei #Navalny, sondern auch der russische Fotograf Dmitry Markov en.wikipedia.org/wiki/Dmitry_M gestorben. Auch er war Regimekritiker und zeitweilig im Gefängnis.

Er hat seine starken Fotos meistens nur mit einem iphone aufgenommen.

themoscowtimes.com/2024/02/16/

en.wikipedia.orgDmitry Markov (photographer) - Wikipedia
Continued thread

And some surprising reactions in #Moscow to the #Navalny verdict - this from pro- #Kremlin analyst Sergey #Markov :
"What Navalny got is horrific. Or even horror horror horror. It's not just 19 years. This is a special regime, which means the most severe conditions.
No letters or dates for the first 10 years of it.
Either solitary confinement, and if with a cellmate, then it is forbidden to talk, under the threat of a punishment cell...
Light is on all the time "

#AI based #password candidate generation is super interesting to me, but so far the best generators (CMU's #neuralnetwork based generator presented at #USENIX 16, and Dr Matt Weir's #PCFG generator) are still about on par with existing #Markov implementations and rule-based #cracking.

#PassGAN, on the other hand, falls well short of existing password cracking techniques and candidate generators.

While I hold out a lot of hope for future AI-powered password cracking, it ain't here yet, and it definitely isn't PassGAN.

arstechnica.com/information-te

Ars TechnicaMeet PassGAN, the supposedly “terrifying” AI password cracker that’s mostly hypeAI cracking is on par with conventional methods, but you'd be forgiven for thinking otherwise.
Continued thread

Using a second-order #Markov chain (these look less real):

Alne andenwooltontand, Amblestlever, Arleynse, Aycotgrand Gaton-Sal, Barsh, Batley, Birch, Boley, Boot, Bradforth, Bromingle, Brood, Brouthough, Chils, Cland, Cley, Cockinge, Cort, Crea, Crombe, Dagby, Doverstch, Dray, Drifaxbradlem, Exmund, Faverhalle, Fringdon, Garkeheatforoutton Cand St Auckfier, Hall, Harne, Harnletches, Hashambe, Hastertheld, Helmerham, Henhoe, Hord, Horth Ston, Iven, Kidhury, Land Highton, Leigh, Lewbrisbursley, Lymer-Mable, Mexby, Mington-Crooroutsforth, Mirth, Mooddingston-Avon, Neenord, Newbringlettleveste, Newle, Nunth, Orfielsont, Otlarth, Padseyneham Marwickton, Paingforpon-Seanden, Pocklench, Pord, Poyddel-en, Reder, Rock-on-Deesdone, Sanch Haweld, Shithenbord, Sild, Siles, Snaing, Snortsme, Spingathwich, Swaridge Ston-upord-on, Tawlesbring, Wall-on, Walynexler-Edmarrossey, Wenstang, Whippeld, Widge, Wils-ove, Wivelmles, Wolestesbury, Word

English towns generated with a third-order #Markov chain:

Accrington, Alnwith-upon-in-Croseley, Amesbury, Bebingwood, Bexley and Ewell, Bish, Blackporth, Blaistol, Bognor Regis, Bognorton, Bostwood, Bradford, Brentree, Burford, Canterley, Chelsend, Cleckering Castbury, Crowston, Desbury, Edge, Faringwoodston & Lyness, Fleet Deephen, Frith, Frith-Wolsingtone, Gard, Gill, Grassett, Hast Town, Heley, Hunthampton, Kempstone, Kenistlesbury Crowbridge, Keynemouth, Kingdon, Leominster, Letchesham, Lich, Loddock, Ludge, Ludley, Luton, Lutone Torrington Stratford, Made, Maghull, Mers, Midhurston, Minster, More, Newlyn, Newmarkelton, Newton, Oakham Abbot, Orpington, Pick, Purleethe-Sea, Radston, Reigh, Royal Leaminstantefract, Rugby, Scar, Settesford, Shield, Sleach witherhildeanorton Latimerehampston, South, Thorlandham, Thorn, Thorpe andwickham Fernstabley, Wade, Waltenstanhoe, Wanthorpenny St Merston, Watch, Wester and Birksop, Wood, Woodbridlington, Wooler, Yatell

Continued thread

A lot of games are modeled stochastically. #Markov #chains and other #stochastic #networks provide wonderful tools for #analysis and #synthesis of new game #architecture. As a game developer, my interests concern #physics engines and #metaphysics #simulation broadly.

If we want to talk about #simulation, we HAVE to discuss #automata and other #abstract #machines! And if we want to talk about #machines, we have to discuss #quantum #logic...