RT @iDPI_umass: A Good Web isn't just a nicer web, but one that's accessible to all who want to take part. This week on our Good Web series….

I am SO excited for @ProtonPrivacy docs. This is something we really need. I made a new doc to test it out, and invited my gmail account along with some collaborators. Unfortunately @gmail is marking our invitations to edit the doc as dangerous. /CC @FTC @TechFTC

What do you want to know?.

RT @ProtonPrivacy: We're happy to bring you yet another popular community request in @ProtonDrive: Docs, collaborative document editing tha….

RT @p5xjs: 👉Website designed by Stefanie Tam and @tylryn.👉Developed by @bocoup.👉Learn more about the p5.js contributors who worked on the p….

RT @stoplapdspying: UPDATE: @PaulKrekorian just fast-tracked this motion, overriding the standard Budget and Finance Committee hearing. We….

My favorite part of migrating an app to @enhance_dev so far

RT @bocoup: We're excited to share the new Privacy Stack for @remix_run, a new stack that bakes important privacy practices (and more) into….

RT @bocoup: Check out our latest blog post on how to run a DIY node server in 2024. Hint: It's easier than you think! .

RT @bocoup: We haven’t seen much coverage of Web Push API backend implementations so we covered that in depth in a full stack guide to usin….

Rolling stone did a profile of a few of these folks last year if you're looking for a place to start:

If you are going to implement AI in your software consider following the critical work on the subject, including from @timnitGebru @jovialjoy @emilymbender, @merbroussard, @safiyanoble, @marylgray, @kingavriel, @PettyPropolis, @mer__edith, and @ruha9.

Do we really want high dimensional statistics models built with data taken from people without meaningful consent, labeled by people working below a living wage, running huge carbon deficits in computer farms, and geared toward the integration of power, war, and advertising?.

We also need to think about the consent model for how data is collected for these statistics systems, the working conditions for people labeling the data in these systems, the environmental impact of these systems, and the impact of these systems on power in our society.

But we have to remember the political context in which the disciplines behind this wave of AI (statistics, neuroscience, and computer science) have developed. Things like: behavioral economics, phrenology, and the military.

Anyways, I do think statistics can be useful, but I don’t think you would ever want to turn everything into a statistics model.

The singularity is really nonsense. Total nonsense.

We should be thinking of the AI trend more as a break through in statistical modeling in the tradition of “mobile”, “Web 2.0”, and “big data”, than as a once in a lifetime event headed to a “singularity” of “conscious computers”.