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You know … Lindsey … I want you to think about something
F$&kin\u2019 dare yah, dare yah (dammit, already thought of one) to find a time in history when the following has been more true. \u201cNever doubt that a small group of thoughtful, committed citizens can change the world; indeed, it's the only thing that ever has.\u201d - Margaret Mead
— Moondeer (@kelleydawg) February 15, 2021
Now if a small group can change the country, what do you want to f$&kin’ bet that ONE MF can change this country?
Oh thank Christ! I was worried you might go the other way and that would totally f$&k up everything I had left to say.
‘Cause Lindsey, I have learned something this week. We are all familiar with the phrase:

Inside: ADT insider threat; Billionaires think VR stops guillotines; Privacy Without Monopoly; and more!
Archived at: https://t.co/nu1HbReiEX
#Pluralistic
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This Wednesday, I'm giving a talk called "Technology, Self-Determination, and the Future of the Future" for the Purdue University CERIAS Program:
https://t.co/po5IivZyr4
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ADT insider threat: If you build it they will spy.
https://t.co/kJrmtu8L3S
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Self-control isn't merely a matter of eliminating your own weaknesses. Self control is primarily about compensating for those weaknesses. When you go on a diet, you don't just commit yourself to eating well - you also throw away the Oreos so you won't be tempted.
— Cory Doctorow #BLM (@doctorow) February 15, 2021
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Billionaires think VR stops guillotines: TARP with tasps.
https://t.co/MIKwvsICkr
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The pandemic has afforded all of us a refresher course on the five stages of grief, a theoretical and controversial framework for describing how people cope with tragedy: denial, anger, bargaining, depression and acceptance.https://t.co/nqPmjCvyab
— Cory Doctorow #BLM (@doctorow) February 15, 2021
1/ pic.twitter.com/lNk2vvhlNF
Privacy Without Monopoly: Podcasting a reading of the latest EFF whitepaper.
https://t.co/R2sl75y4rb
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This week on my podcast, a spoken-word version of "Privacy Without Monopoly: Data Protection and Interoperability," a major new white-paper that Bennett Cyphers and I co-authored for @EFF.https://t.co/oASlJFpz8t
— Cory Doctorow #BLM (@doctorow) February 15, 2021
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The public comment period for this rule change runs Feb 16th through March 25th.🧵
Please email the #Missouri Department of Natural Resources stating why you oppose removing "perched water tables" from the definition of "groundwater table".
If you submitted a comment in November please re-submit it now as previous comments will not be included for this round.
Email [email protected]
Reference that you are writing in response to a proposed rule change to 10 CSR 20-8.300 Design of Concentrated Animal Feeding Operations.
Talking points follow ⬇️
The rule change is being done to provide a direct benefit to a private applicant (United Hog Systems) that has a permit application pending before the Department.
There is no lawful reason to justify the distinction for the Department to exclude perched water...
...from its definition of groundwater table in regards to CAFOs, while also including perched water in the definition at all other wastewater treatment facilities.
All water bodies in Missouri need to be protected by the Missouri DNR.
🤔 How to pick the right #GoogleCloud #MachineLearning tool for your application?
Answer these questions
❓ What's your teams ML expertise?
❓ How much control/abstraction do you need?
❓ Would you like to handle the infrastructure components?
🧵 👇
created this pyramid to explain the idea.
As you move up the pyramid, less ML expertise is required, and you also don’t need to worry as much about the infrastructure behind your model.
To lear more watch this video 👉 https://t.co/EqJNDmTfhV
#31DaysofML 2/10

If you’re using Open source ML frameworks (#TensorFlow) to build the models, you get the flexibility of moving your workloads across different development & deployment environments. But, you need to manage all the infrastructure yourself for training & serving
#31DaysofML 3/10

Deep Learning VMs provide managed, click-to-deploy VMs for processing data & training the model
🔹 Popular ML frameworks pre-installed
🔹 Reduces the overhead of managing & allocating compute & storage required
🔹 But you figure out how you’ll serve those models
#31DaysofML 4/10

Kubeflow - OS project for deploying ML workloads on #Kubernetes
🔹 Helps configure a multi-step ML pipeline including pre-processing data, training & serving the model
🔹 Run it on-premise or on any cloud
🔹 You’ll still need to configure where it’s managed
#31DaysofML 5/10

\U0001f91e ONLINE RAFFLE is available from @bodega for the upcoming "UNLV" Nike Dunk Low Retro. Open until 5 PM ET on 2/16.
— Kicks Deals (@KicksDeals) February 15, 2021
\u27a1\ufe0f\u27a1\ufe0f https://t.co/JxJlyPuJVo pic.twitter.com/zenWOCDg4L
like seriously why not make a ton more of them if they're gonna be so sought-after? they land at outlets? so? nike still makes money off that.
the only reason to keep making them so limited is that they KNOW all that matters is the profit on the flip and if they were readily available FEWER people would want them, not more
the whole system is super broken, but it's just gonna go the way it goes, because at this point it all caters to the secondary market. the only reason Nike can sell Jordan 1s for $200 is because the people buying them can flip them for $500
adjusted for inflation, a $65 AJ1 in 1985 is like $160—and modern-day AJ1s are made from cheaper materials in factories staffed by cheaper workers. they don't HAVE to be $200 retail. but the secondary market nuked the whole concept of what sneakers are "worth"