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Paul Scharre Profile picture
@paul_scharre
Sep 25, 2020 • 5 tweets • 3 min read • Read on X
Serious question for journo & tech colleagues -- why isn't there a micropayments model for reading online content a la carte?

I'm a huge believer in "pay the writer." I believe writers (and outlets) should be paid for content. But why are the only $ models subscriptions or ads?
There are maybe 1-2 outlets I read enough to justify a monthly subscription, from which I get most of my news. But I read some very specific writers from a range of outlets, but just those individuals. I would be *happy* to micro-pay per article for their stuff.
For me, personally, I want to read everything by @Kate_OKeeffe @BethanyAllenEbr @_KarenHao @willknight @tsimonite but I'm probably not going to read everything on @WSJ @axios @techreview @WIRED outlets overall ... plus, it starts to add up!
I'm legit curious why for all of the tech wizardly people have created there isn't some kind of wallet one can put into a month and then micropay an outlet per article.
Yes! 👇 Music does it ...

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More from @paul_scharre

Paul Scharre Profile picture
Mar 30, 2023
@FLIxrisk has released an open letter calling for a moratorium on training large AI models more powerful than GPT-4.

Their specific proposal is vague and not very realistic, but it's a significant development nonetheless. [THREAD]

futureoflife.org/open-letter/pa…
Large AI models like ChatGPT and GPT-4 are inherently dual use.

@OpenAI's GPT-4 system card walks through several possible misuse risks, including for hacking, disinformation, and proliferation of unconventional weapons (e.g., chem/bio). cdn.openai.com/papers/gpt-4-s…
OpenAI assesses that GPT-4's cyber and chem/bio capabilities are limited today, but AI progress is discontinuous and large models frequently show emergent capabilities.

Dangerous capabilities are likely coming and we may not have much advance warning.

arxiv.org/pdf/2202.07785…
Read 10 tweets
Paul Scharre Profile picture
Mar 16, 2023
In the long run, detectors will fail.

Any methods of detection can be folded into the next generation of AI.

Fakes will converge towards reality.
Watermarking will be key to distinguish fakes from reality.

Responsible actors will ensure their synthetic media is watermarked.

But not everyone will act responsibly. And generative AI is so widespread that there will be irresponsible actors.
Real media will need to adapt to prove authenticity: watermarking, metadata, chain-of-custody, etc.

Seeing is no longer believing.
Read 4 tweets
Paul Scharre Profile picture
Mar 9, 2023
Data is a vital resource for machine learning. Does China have a data advantage?

Not so fast. China's alleged authoritarian advantage in data is overstated.

THREAD
China's supposed data advantage comes from its massive population (1.4 billion people!) and rapidly growing surveillance state.

The CCP is building a surveillance system unparalleled in the world.

But that doesn't necessarily translate to a data advantage.
For one, company user base matters more than national population. U.S. companies have global reach.

User base: Facebook 2.7 billion; YouTube 2+ billion; WeChat 1.2 billion.

Other than TikTok, Chinese platforms have struggled to gain a foothold outside China.
Read 11 tweets
Paul Scharre Profile picture
Feb 27, 2023
China's model of AI-enabled repression is proliferating around the world, threatening human freedom.

Here's what the U.S. and other democratic nations can do to push back.
[THREAD]
latimes.com/opinion/story/…
China is building a new model of tech-enabled authoritarianism at home.

The Chinese Communist Party has deployed 500 million surveillance cameras to monitor Chinese citizens.They increasingly use AI tools like facial and gait recognition.
China is exporting its model of digital authoritarianism abroad. At least 80 countries use Chinese surveillance and policing technology.
(Map data courtsey of @SheenaGreitens. Map by @CNASdc)
Read 11 tweets
Paul Scharre Profile picture
Feb 14, 2023
UFO jokes aside, I’m troubled that the U.S. military is shooting down aerial objects in U.S. airspace without positively ID’ing them first.

How long before they accidentally shoot down an aircraft?
“We don’t know what it is; shoot it down” seems like a very loose ROE for domestic U.S. airspace in peacetime
Republicans’ political point-scoring criticizing the administration for acting prudently and waiting to shoot down the first balloon was harmful ...
Read 15 tweets
Paul Scharre Profile picture
Feb 14, 2023
DARPA gave me incredible access for Army of None, but there was one program they stiff-armed me on:

TRACE, a DARPA program to use deep neural nets to improve automatic target recognition.

For Four Battlegrounds, I got the scoop! [THREAD]
TRACE (Target Recognition and Adaptation in Contested Environments) was a DARPA program to improve automatic target recognition (ATR).

It was one of the first DoD programs to capitalize on the deep learning revolution. Image
TRACE used neural networks to improve automatic target recognition, which for DoD was the holy grail of game-changers from deep learning.

The fact that DARPA wouldn't talk about it only intrigued me more! Image
Read 10 tweets

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