Mediaeater Digest Vol 30, No. 227

Inside the “3 Billion People” National Public Data Breach (troy hunt)

Script-kidding the Bitcoin blockchain (ccc.de)

CONCORD vs.ANTHROPIC PBC, Defendant (pdf)

A Ruling That Eliminates Important Privacy Rights in Many Stored Internet Contents—And The Legal Challenge to It  (reason)

Artists Score Major Win in Copyright Case Against AI Art Generators (imdb)

Federal appeals court finds geofence warrants “categorically” unconstitutional (eff)

UMG artists and UMPG songwriters across Facebook, Instagram, Messenger, Horizon, Threads and WhatsApp (prnewsire)

Google vids  (poorly named excellent presi tool)  (google)

Very large context windows, agents and text-to-action,

chatgpt-4o-latest  (lame naming conventions for 1000 alex) (openai)

ytch.xyz

Yesterdays Pixel announcements  includes device vs carrier overt access to content.  A big line crossed.  Google Pixel phones have a few features that can provide call transcripts, including Call Notes, Call Screen, and Live Transcribe:

Call Notes-  Sends a transcript and summary of a phone call to the user after the call ends
Call Screen – Allows users to screen calls before answering them. When a call is received, users can tap Screen call to have Google Assistant ask the caller who they are and why they are calling. The user will receive a real-time transcript of the caller’s response. Users can then choose a suggested response, pick up the call, or hang up. Users can also enable automatic call screening by opening the Phone app, tapping the three dots in the top right, then tapping Settings and Call Screen. From there, users can set a protection level to determine how Google Assistant screens calls. For example, Maximum protection will screen all unknown numbers, while Basic protection will only decline spam calls.
Live Transcribe – Transcribes phone calls in real-time in over 80 languages and dialects. Users can access Live Transcribe by opening the Settings app, tapping Accessibility, and then tapping Live Transcribe. 

 

 

Information and Knowledge Yield Loss Across Transcoding Eras

As someone who’s lived through the mind numbing pace of technological change, I’ve been fascinated by how we’ve transformed the way we store, share, and understand information.  This part of technological change really haunts me:  With each leap forward, we are leaving something important behind.

Through each “transcoding era”,  aggregate intelligence information loss.  At least three major ones, each has brought incredible advancements, but also introduced “yield loss” – a concept borrowed from manufacturing that I think applies perfectly to our data-driven world.

 

From Physical to Digital

The first era was all about turning physical stuff into digital format. Books became e-books, vinyl records turned into MP3s, and film reels transformed into digital video files. It was mind-blowing at the time. Suddenly, we could carry entire libraries in our pockets!

Many things were lost in translation. Remember the warmth of vinyl records? Or the smell of old books? Early digital tech couldn’t capture those sensory experiences. We gained convenience, sure, but at the cost of some of the richness that made those physical mediums special.

I sit now in a massive room filled with legacy media that i can pick up and touch, regard, play and read that did not make this first leap and likely never will.

 

The Internet Age

Cue:  internet,  Information at our fingertips, instant communication across the globe. But in our rush to make everything faster and more accessible, we started cutting corners.

To squeeze data through limited bandwidth, we compressed files until videos looked like pixelated messes and music lost its depth. We chopped up long-form content into bite-sized chunks for quick consumption – micro chunking it as we called it at the turn of the century.   Further reduction.

At each turn, loss of information that did not make the cut for whatever reason, and a lessening and reduction in cases that did make it.

RIP Newsgroups, a valued shared source of organized information lost.  (Forget about the Archie and Gopher and all the BBS’s)

Web 2.o emerged and in the M&A of that decade valuable two dot o companies and information  was  lost including, del.icio.us,  o.g. services like Flickr, Tumblr et al.  So past information that did not make the leap – there is a giant digital gap of aggregate knowledge sources

 

AI Takes the Wheel

Now we’re entering a new era, Artificial Intelligence is starting to infer, interpret, analyze, synthesize and even create information on its own.

Andrew Gray, a librarian at University College London, trawled through millions of papers searching for the overuse of words such as meticulous, intricate or commendable.

He determined that at least 60,000 papers involved the use of AI in 2023 — over one percent of the annual total. “For 2024 we are going to see very significantly increased numbers,” Gray told AFP.

Another reduction of source material, further loss of context and over all diminishment.

 

Perspective

I am of the singular generation who grew up BC (before computers) but thrived as an adult in the computational era (AC).  We are the only humans who have this perspective and time is eroding our information and knowledge and digital is decaying it.

 

So, What Can We Do About It?

How do we develop systems that preserve the richness of human experience and does not leave off the long tail and expressly look for it to be included? How do we find ways to keep the convenience of digital formats without sacrificing quality? How do we include the most robust set of information that carries forward.  What are we leaving behind?

Mediaeater Digest Vol 30, No. 219

Neuralink second implant patient working well  (twitter)

DARPA  semanticforensics.com 

DEF CON 32 Home Page

Drake  100gigs.org (music 2024)

Amazon Topics (metdadata)

Tool: ip.network  (101)

Trend: Kling watermark remover  (of course)

Business: UNITED STATESOF AMERICA et al., Plaintiffs, V. GOOGLE LLC, Defendant. (remedy?)

X: = Dis-information (stop using this service)

IG/AI  aistudio.instagram  (why) 

Flux  flux1.org  (image gen)