skynettoday / skynet-today Goto Github PK
View Code? Open in Web Editor NEWThe repo to host Skynet Today
License: Other
The repo to host Skynet Today
License: Other
A deep look that somehow covers aspects other things miss
Get Table of contents to work. In theory easy w Jekyll, but not functional atm. Want it for about page esp.
Rebuke the whole 'horses' were not useful any more story - https://youtu.be/7Pq-S557XQU
Google released two audio recording of a conversation between an AI-powered assistant and human service providers. The result was amazing: from deceleration about Turing test passing to meditations about what it means about human nature. This is a classic case of hype in a teacup, but there are a few take-aways: 1) hold your horses, we're not there yet. They didn't even give a live-demo 2) google could have been more clear to begin with, though to be honest what we have heard IS amazing. However, companies should be responsible about not over-hyping either 3) if people contemplate the essence of our humanity after two calls to make reservations... what's in store when AIs do become more human-like? We need to start this discussion, soberly, about now, and brace ourselves for the future (while being quite excited about it too!)
Just create MD file w attribution and appropriate formatting
As covered in the digest:
Amazon’s Face Recognition Falsely Matched 28 Members of Congress With Mugshots
Jacob Snow, ACLU
ACLU matches image
Credit: from ACLU's article
The ACLU (American Civil Liberties Union) recently conducted a test of Amazon’s “Rekognition” facial recognition tool, and found that “the software incorrectly matched 28 members of Congress, identifying them as other people who have been arrested for a crime.” Their piece about the test goes on to say:
Matching people against arrest photos is not a hypothetical exercise. Amazon is aggressively marketing its face surveillance technology to police, boasting that its service can identify up to 100 faces in a single image, track people in real time through surveillance cameras, and scan footage from body cameras. A sheriff’s department in Oregon has already started using Amazon Rekognition to compare people’s faces against a mugshot database, without any public debate.
And that:
Congress must take these threats seriously, hit the brakes, and enact a moratorium on law enforcement use of face recognition. This technology shouldn’t be used until the harms are fully considered and all necessary steps are taken to prevent them from harming vulnerable communities.
Amazon’s Dr. Matt Wood wrote a response that noted that “The ACLU has not published its data set, methodology, or results in detail, so we can only go on what they’ve publicly said” and listed several issues with the bits of the methodology that were disclosed (such as the confidence threshold, training dataset, and more). The ACLU responded by denying were there issues with their methodology and stating that “In its five stages of grief over its dangerous face surveillance product, Amazon is clearly stuck at denial”.
The motherboard NMT story
Discuss how good a concept exponentialism is https://www.technologyreview.com/s/609048/the-seven-deadly-sins-of-ai-predictions/
Write news post, maybe start thinking about editorial possibilities
Just do a pass and see if anything looks off , then I'll take the updated draft and finalize
A non-snarky post about the very real and troubling ability to overlay anyone's face on porn.
Starting point: https://motherboard.vice.com/amp/en_us/article/neqb98/reddit-shuts-down-deepfakes?__twitter_impression=true
Some thoughts:
Add support for longer and more in depth coverage not necessarily around one event. Will be a toggle sort of thing between news and editorials.
First one, so will have to work a bit extra on this one
And posts should be renamed to Coverage
Think Answer or the singularity vs. model bias, privacy concerns, adversarial examples, and misuses (deepfakes etc.).
We've been seeing endless headlines containing the word AI while actually referring to relatively trivial ML or other techniques. Many of them seem to imply that AI is a magical entity that just keeps on amassing capabilities. That is misleading, and a big factor in creating and pushing forward the hype that we see as harmful and dangerous. It is time we be more careful with how we define technologies and refer to them publicly.
Got to home screen
Click 'Editorials'
Click on latest editorial
Click back buttion
Briefs will be displayed despite editorials section being highlighted
┆Attachments: skynettoday/skynet-today: Issue #78
Kind of an overview, maybe some about hype/what problems it can solve
Really silly stort, basically unethical portrayal if robot by researchers
Quote Yann lecunn and media fact checks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.