John Robb Profile picture
Dec 4 4 tweets 3 min read
Proposal for @Twitter and @elonmusk on #dataownership

Be the repository for claiming ownership of data and information used in machine learning and getting paid for it.
@Twitter @elonmusk Post originals. Pictures. Videos. Text. Documents. Art. + metadata

Twitter negotiates with everyone using that data in ML/AI (whether they got it from there or not -- will use Twitter’s data to check other repositories).

Twitter pays people royalties on their data.
@Twitter @elonmusk Posting original documents/pics etc., turns Twitter into a reference source.

An improved search of this reference data would make Twitter even more useful.

Getting paid for data use is a feedback loop that increases usage.
BTW, open discussions and interactions with systems like #chatgpt and stable diffusion should be on Twitter too

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More from @johnrobb

Nov 8
Twitter as a platform for social AIs

Twitter is the best fuel (range of ideas + interaction) for training and improving social AIs in the world.

Nothing else comes close.
These social AIs will be immensely valuable.

Share the revenue generated with users. Provide an enhanced share with users who pay subscriptions (they are funding development).

Eventually, everyone gets paid.
Early examples of social AIs: GPT-4, MidJourney, Stable Diffusion, etc.
Read 5 tweets
Oct 13
"contributed to the deaths of more than 450,000 people over the past two decades."

"McKinsey’s extensive work with Purdue included advising it to focus on selling lucrative high-dose pills (and) “defend it against strict treatment” by the Food and Drug Administration."
Reminder: The first epidemic of the Century was manufactured.
"In the past, McKinsey avoided legal liability for high-profile failures of some clients, including the energy company Enron."

"the firm “suggested sales ‘drivers’ based on the idea that opioids reduce stress and make patients more optimistic and less isolated.”
Read 4 tweets
Oct 1
Yet, this is apparently just dawning on the White House (and across Europe).

nytimes.com/2022/10/01/wor…
Worse, nobody in the establishment seems to understand the role of networks in destabilizing and escalating this situation. Likely because they were active participants in this network.

johnrobb.substack.com/p/swarms-vs-nu…
Read 4 tweets
Sep 30
The network framed this war as an existential conflict back in March.

Biden codified it shortly thereafter.

A world full of nuclear weapons isn't compatible with the way networks drive politics and conflict.

johnrobb.substack.com/p/the-escalato…
March: "By outsourcing the moral prosecution of this war to the swarm, western leaders have put us on a path that can cascade into a nuclear confrontation."
"(Biden) is trying to lead the swarm by escalating the conflict. To be a leader of a networked swarm, you must move the swarm towards its goal. Once you stop doing that, your role as a leader ends."
Read 4 tweets
Sep 4
It's far harder to change someone's mind, get them to soften their stance, or agree to compromise if they are enmeshed in a pattern matching network.
1) the pattern is blind to any info/event that doesn't fit
2) no portion of the pattern can be questioned (since it puts the entire pattern at risk)
3) the pattern is socially policed and protected
4) patterns are the basis of networked tribal identity (discarding it means a loss of identity)
5) discarding a pattern matching network means losing the ability to quickly make sense of a complex world.
Read 4 tweets
Aug 26
How algorithmic suppression works:

My Twitter impression count went from a steady 45k a day in June (and for a year earlier) to a 15k a day in July.

The shift was sudden, to the day, where it has remained.

Apparently, I'm part of the soft launch for the #longnight
I'm getting this from more than a few people.

I was there, and suddenly I wasn't.
Yes. The algorithmic suppression was sudden and easy to see in the numbers. It would show up to you in exactly the way you describe it.
Read 4 tweets

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