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Janelle Shane @JanelleCShane
, 6 tweets, 6 min read Read on Twitter
I chose @SenatorBaldwin and @stabenow since they're from where I grew up and omg they're so cool
@SenatorBaldwin @stabenow @Celeste_pewter @Roadto18 I mean just reading THIS about @SenatorBaldwin you KNOW she's badass. Making history as Wisconsin's first woman to serve in the US senate and the first openly gay member elected to the Senate
@SenatorBaldwin @stabenow @Celeste_pewter @Roadto18 and sure enough @SenStabenow also broke ground. Made history in 2000 when she became the first woman from the State of Michigan elected to the U.S. Senate
@SenatorBaldwin @stabenow @Celeste_pewter @Roadto18 as a female engineer I KNOW how tough it can be to be 1st/only. These women are badass.
Visual Chatbot likes @SenStabenow . But apparently is also channeling that one dog from Go Dogs, Go Image: Official senate portrait of Debbie Stabenow<br /> Caption: A woman wearing a tie and hat<br /> Me: This is Debbie Stabenow, senator from MI.<br /> Bot: yes<br /> Me: Is she defending the Great Lakes against drilling, and voting for net neutrality?<br /> Bot: yes<br /> Me: And she's the first female senator from MI. Is she amazing?<br /> Bot: yesMe: do you like her tie?<br /> Bot: yes<br /> Me: Do you like her?<br /> Bot: yes<br /> Me: Do you like her hat?<br /> Bot: no
Apparently @SenatorBaldwin has the giraffe vote. Image: Senator Tammy Baldwin<br /> Caption: A woman is wearing a tie and a hat<br /> Me: What kind of hat is she wearing?<br /> Bot: a hat<br /> Me: Fine. This is Tammy Baldwin, Senator from WI.<br /> Bot: yes<br /> Me: First female senator from WI, and first openly gay senator. Is she amazing?<br /> Bot: yesMe: What color is her tie?<br /> Bot: Black<br /> Me: What color is her hat?<br /> Bot: brown<br /> Me: I think that's her hair<br /> Bot: yes<br /> Me: Great, glad we got that sorted out. How many giraffes are in the photo with her?<br /> Bot: 1 is in the background and the other is a close up so i can't tell
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"in fact this occurrence, far from illustrating some kind of malign intelligence inherent to AI, simply reveals a problem with computers that has existed since they were invented: they do exactly what you tell them to do."
techcrunch.com/2018/12/31/thi…
@fioraesoterica summarized it very well:
Researchers were tipped off when the algorithm not only did suspiciously well at converting maps to satellite images, but was able to reproduce features like trees & cars that weren't in the maps at all. The original map, left; the street map generated from the original, center; and the aerial map generated only from the street map. Note the presence of dots on both aerial maps not represented on the street map.
Read 8 tweets
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I trained a neural network on 1,228 types of cookies and apparently these are what cookies sound like to it.
aiweirdness.com/post/180892528… grandma's spritches, hand buttersacks, low fuzzy feats, walps, quitterbread bars, merry hunga poppers, lord's honey fight, fluffin coffee drops, spice biggersNutty Loispers *then Wholes
okay so i had a try at training the neural net on the cookie recipes themselves.
and um @@@@@ Noo No CA Cracker DECOR<br /> <br /> cookies, deserts, holiday<br /> <br /> <span class=1/2 cup brown sugar
1/2 cup sugar (or beaten
1 1/2 cup wheated sugar
1 tablespoon baking soda
1 cup brown sugar
3/4 cup brown sugar
2 egg whites
1/4 cup sugar
1 cup packed brown sugar
1 cup brown sugar
3 each egg whites
2 1/2 cup sugar
1 tablespoon powdered sugar

Cream the egg mixture and vanilla. Beat mixture to mix well. Add egg whites and vanilla and flAv" src="/images/1px.png" data-src="https://pbs.twimg.com/media/Dt1-fRlU8AECLNN.jpg">
here's another neural net cookie recipe. it was looking almost normal for a while there. @@@@@ NooN ----FILADONOUSED----<br /> 2 tablespoon egg whites<br /> <span class=1/2 cup white sugar
1/2 cup flour
1 1/2 teaspoon baking powder
1/2 teaspoon salt
1/2 cup brown sugar
1/2 cup brown sugar
1 teaspoon vanilla extract
1 1/2 cup sugar
1/2 cup wheater water
1/2 cup brown sugar
2 eggs
1/4 cup mark
1 cup butter or margarine
3 cup sugar
1 teaspoon vaniLle
1/2 cup sugar
1 tablespoon milk
1 cup flour
3/4 cup corn" src="/images/1px.png" data-src="https://pbs.twimg.com/media/Dt2LBozUwAAOsDM.jpg">
Read 5 tweets
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This list by @vkrakovna (and the paper that supplied a bunch of them) is one of my favorite things about machine learning. I'm collecting another unofficial list of unpublished examples.
Like this one by @_joelsimon, who evolved new floorplans for an elementary school. It produced a cavelike warren of bubble-rooms because nobody had told it to do straight walls or windows. joelsimon.net/evo_floorplans… Left: Optimized for minimizing traffic flow bewteen classes and material usage. Right: Also optimized for minimizing fire escape paths.
And this ongoing thread by @sterlingcrispin whose robot dogs have learned to tap-dance, flop on the ground, do pushups, and even hack the simulation physics to glide - basically, anything but walk.
Read 9 tweets

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Up until a couple months ago, I worked full time in the ER. I spent most of my time being exposed to some of the most hateful, selfish, stubborn, disgusting humans on the planet - ppl I had never been exposed to before. I grew up in a good neighborhood with strict parents.
None of my friends used drugs. Most didn’t even drink. We had parents that taught us right from wrong. Parents that showed us how to work for the things we wanted. I had no idea of the kinds of other ppl there were in the world. It wasn’t until I became a nurse that I did.
I became depressed. He majority of ppl I was exposed to on a daily basis were... not what I was used to. Drug seekers. The noncompliant chronically ill. The pts kicked out of every drs office in the area bc of threading staff. The drunks that pee on the floor.
Read 14 tweets
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Much before #UrbanNaxals became a buzzword, we in erstwhile united Andhra Pradesh , actually experienced. From 80s to mid 2000s , AP had a long running battle with Naxals, lost some of our best cops ( Umesh Chandra, Vyas) , political leaders, ordinary people to this.
It was a two front battle, on one hand the regular encounters between the cops and Naxals. On the other hand the #UrbanNaxals in Telugu media, cinema, academia, campuses. It was a living reality for us.
Telugu media had it's own share of #UrbanNaxals , Varavara Rao one of the leading lights. There were others like Balagopal too. Some magazines and newspapers supported them in a guarded manner , some were openly in support of the Naxals.
Read 30 tweets
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Do you think this au will have a good ending ?
Chapter one.
Where's Donghyuck ?
Read 290 tweets
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Reading a forthcoming book called Hitler's American Friends.

It's about the America First Committee and will probably be a worthwhile read when it comes out.

There was a lot of infighting about tone -- think alt-lite vs. alt right.
People like Charles Lindbergh were the ones who drummed up the most support for the movement. Because of their openly anti-Semitic views.

There was apparently a lot of fighting between people like Lindbergh & people who thought they should promote fascism with a friendlier tone
And there was a disinformation campaign. Apparently Americans were told that Roosevelt was secretly Jewish and had changed his name from "Rosenfeld." Wow. I did not know this.
Read 229 tweets
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Reading a few conversations online recently, I've been thinking a lot about the urgent need for us as Ts to do some hard, internal work of unpacking the identities we bring to the classroom. (Thread, a long one 👇🏾) /1
Teaching is an intensely human activity. We know that the best teachers are those who know that teaching—and Ss—cannot be standardized. We teach who we are. This is what can make our practice so powerful—even transformative—but also dangerous. /2
We bring all of our identities—and the experiences that informed them—into our teaching. So we have to interrogate the ways in which these experiences have shaped our practices and relationships with kids. /3
Read 22 tweets
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Up Now: @lizthegrey and @adam7mck on Resolving Outages Faster with Better Debugging Strategies #SREcon
I work with Liz, Adam is a top guy. There's some exciting stuff in this talk. Listen up! #SREcon
Liz - 8+ years at Google, now CRE. Excited about sharing things we've learnt with the world.

Adam - 18mths at Google, SRE/DevOps type-person for 8-10 years. Excited to share things that blew his socks off when joining Google.

#SREcon
Read 50 tweets

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