citytree

Examples of passive defenses against surveillance:

• Privacy Badger
• uBlock Origin
• Using open source Linux rather than Microsoft Windows
• etc.

But why not actively combat surveillance instead of passively defending against it? Examples of active combat:

• AdNauseam
• ScareMail
• Emacs spook.el

We must poison the data of those who are violating our privacy. Let us waste their time, increase their data storage costs, and waste their processing power. Let them drown in an ocean of data. Let them search for tiny needles in huge haystacks, with no way to distinguish between needles and hay.

Some ideas:

• Sending fake data to Google Analytics (How does Google Analytics prevent fake data attacks against an entity's traffic?)
• Create fake contacts lists to mislead those who are building social network graphs.
• Encrypt lots of worthless data, store them in the cloud or send them by email. If the encrypted data is intercepted by any nosy entity, they will have to waste storage space while waiting to be able to break the encryption.

What are some other possible methods?

Let us turn the tables on those who have been violating our privacy. Why do we have to be on the defense? Let us waste their resources in the same way that they are wasting ours!

cross-posted from: https://lemmy.ml/post/3549323

John Cowan has resigned as chair of the R7RS-large project.

John Cowan has resigned as chair of the R7RS-large project.

R7RS-large has been in development for a really long time (10 years?). What is the status of the standardization effort? When is the estimated time of completion of R7RS-large?

Not sure if any of you have encountered the same resistance to using Signal. Some of my cousins refused to use Signal because they are already using "too many chat apps" (e.g. WhatsApp, Facebook Messenger, WeChat, Telegram, Line, Snapchat, etc.). To them, Signal will just be another chat app among their numerous other chat apps. I understand that jumping between so many messaging apps imposes some kind of cognitive and maintenance burden. What are some ways to convince such people to use Signal?

Another book in The Little Schemer series:

The Little Learner: A Straight Line to Deep Learning by Daniel P. Friedman and Anurag Mendhekar.

The Little Learner covers all the concepts necessary to develop an intuitive understanding of the workings of deep neural networks: tensors, extended operators, gradient descent algorithms, artificial neurons, dense networks, convolutional networks, residual networks and automatic differentiation.

...

https://www.thelittlelearner.com/