Do As Miku Says

this is a message from the future, it will make sense later.

just a few hours left until the blue haired people run the earth btw

WELCOME TO THE:

TUMBLR CLASSIC HARBOR BRAWL

VOTE FOR YOUR FAVORITES IN A SHIP-OFF

RULES

All pairs have been randomly matched up

All ships are from media around ye olden Tumblr (media older than or was around at 2012 - 2016)

NO RPFs

One wildcard (Shrek/Fiona)

24 hours to vote in each round

Campaign. Vote with two accounts. Whatever. Just remember: VOTE CORRECTLY OR NEVER SEE YOUR LOVED ONES AGAIN

ROUND ONE:

DESTIEL vs. STUCKY (WINNER: DESTIEL)

TENROSE vs. ROSEMARY (WINNER: TENROSE)

JOHNLOCK vs. ENJOLTAIRE (WINNER: E/R)

EDWARD/BELLA vs. BUBBLINE (WINNER: BUBBLINE)

KORRASAMI vs. INEFFABLE HUSBANDS (WINNER: KORRASAMI)

SHREK/FIONA vs. HANNIGRAM (WINNER: SHIONA)

MERTHUR vs. CECILOS (WINNER: CECILOS)

STEREK vs. DAVEKAT (WINNER: DAVEKAT)

ROUND TWO

DESTIEL vs. TENROSE (WINNER: TENROSE)

E/R (ENJOLTAIRE) vs. BUBBLINE (WINNER: BUBBLINE)

KORRASAMI vs. SHIONA (SHREK/FIONA) (WINNER: KORRASAMI)

CECILOS vs. DAVEKAT (WINNER: CECILOS)

NOTE: SEMI-FINALS MIGHT BE DELAYED FOR A DAY AND IT IS POSSIBLE WE WILL HAVE AN INTERMISSION.

INTERMISSION POLL

SEMI-FINALS (ONGOING)

TENROSE vs. BUBBLINE

KORRASAMI vs. CECILOS

(CHECK IN WITH THIS POST FOR UPDATES)

Vivaldi played by the South African elementary school Goede Hoop Marimba Band

Turn ON the sound

Designs for most of the Minecraft animals <3 planning to implement them when I'm finished with the monsters!

“Life is a balance between rest and movement.”

— Osho

hes trying his best.

“It is a well-documented fact that by the age of 5 monolingual White children will have heard 30 million fewer words in languages other than English than bilingual children of color. In addition, they will have had a complete lack of exposure to the richness of non-standardized varieties of English that characterize the homes of many children of color. This language gap increases the longer these children are in school. The question is what causes this language gap and what can be done to address it? The major cause of this language gap is the failure of monolingual White communities to successfully assimilate into the multilingual and multidialectal mainstream. The continued existence of White ethnic enclaves persists despite concerted efforts to integrate White communities into the multiracial mainstream since the 1960s. In these linguistically isolated enclaves it is possible to go for days without interacting with anybody who does not speak Standardized American English providing little incentive for their inhabitants to adapt to the multilingual and multidialectal nature of US society. This linguistic isolation has a detrimental effect on the cognitive development of monolingual White children. This is because linguistically isolated households lack the rich translanguaging practices that are found in bilingual households and the elaborate style-shifting that occurs in bidialectal households. This leaves monolingual White children without a strong metalinguistic basis for language learning. As a result, many of these monolingual White children lack the school-readiness skills needed for foreign language learning and graduate from school having mastered nothing but Standardized American English leaving them ill-equipped to engage in intercultural communication.”

—

What if we talked about monolingual White children the way we talk about low-income children of color?

Excerpt from a satirical blog post from The Educational Linguist that makes a good point about which language skills we value as a society and the problems with talking about a “language gap”. 

(via lingrix)

This is actually really cool! This seems like actually one of the cool things that AI can help with. In comparison, last thing I heard about coding enzymes, they were reliant on gamers and puzzle thinkers to play a video game where they were the ones to try and figure out the best amino code that'll make a working protein (god bless those gamers and thinkers)

AI technology generates original proteins from scratch

Scientists have created an AI system capable of generating artificial enzymes from scratch.

In laboratory tests, some of these enzymes worked as well as those found in nature, even when their artificially generated amino acid sequences diverged significantly from any known natural protein.

The experiment demonstrates that natural language processing, although it was developed to read and write language text, can learn at least some of the underlying principles of biology. Salesforce Research developed the AI program, called ProGen, which uses next-token prediction to assemble amino acid sequences into artificial proteins.

Scientists said the new technology could become more powerful than directed evolution, the Nobel-prize winning protein design technology, and it will energize the 50-year-old field of protein engineering by speeding the development of new proteins that can be used for almost anything from therapeutics to degrading plastic.

“The artificial designs perform much better than designs that were inspired by the evolutionary process,” said James Fraser, Ph.D., professor of bioengineering and therapeutic sciences at the UCSF School of Pharmacy, and an author of the work, which was published Jan. 26, in Nature Biotechnology. A previous version of the paper has been available on the preprint server BiorXiv since July of 2021, where it garnered several dozen citations before being published in a peer-reviewed journal.

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