loren / loren is on Nostr

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Last Notes

2026-01-17 03:36:42 UTC

A goal of DreamGrad Grad Academy couldn’t have been said better than by Ostrom
“Looking at knowledge as a shared resource: experts discuss how to define, protect, and build the knowledge commons in the digital age.”
https://doi.org/10.7551/mitpress/6980.001.0001

2026-01-17 03:29:08 UTC

“Moving forward, Aderinokun thinks more education is essential. Nigerians are still very misinformed about Bitcoin.”
Great point Aderinokun! That is where Dream Grad Academy is coming in with its education pillar to provide transparency and knowledge on Bitcoin. Dream Grad Academy also has two other pillars; research and practice. The three pillars simultaneously allow education, networking and a Direct to Consumer (DTC) provider model.
https://bitcoinmagazine.com/culture/check-your-financial-privilege

2026-01-17 03:22:27 UTC

Thanks to Aderinokun, BuyCoins and SendCash empowered by Bitcoin has allowed Nigerian citizens to have the ability to send everyone’s favourite tool, money, around the world efficiently.
“They do not understand, she said, how important Bitcoin is for those who cannot get dollars. For billions, they are trapped in a flawed currency that does not fulfill the purpose of what currency is supposed to do. For many in Nigeria and beyond, Bitcoin is providing another option and solving real problems.”
https://bitcoinmagazine.com/culture/check-your-financial-privilege

2026-01-17 03:18:17 UTC

“As he put it, “doubling the quantity of money in a state, the prices of products and merchandise are not always doubled. The river, which runs and winds about in its bed, will not flow with double the speed when the amount of water is doubled.””
https://www.thebignewsletter.com/p/the-cantillon-effect-why-wall-street

2026-01-17 03:18:14 UTC

“The reason is because money has to travel through institutions, and right now, the institutions for the powerful function well, and those for the rest of us are rickety and broken. So money gets to the rich first. Eventually, some money will get to the rest of us, but in the interim period before that money fully circulates, the wealthy can use their access to money to buy up physical or financial assets”
https://www.thebignewsletter.com/p/the-cantillon-effect-why-wall-street

2026-01-17 03:12:30 UTC

A true liberal should support Bitcoin considering the civil liberties it can provide and the social welfare it can support especially in healthcare access and knowledge transfer.
“Critics in the dollar bubble miss the bigger global picture: that anyone with access to the internet can now participate in Bitcoin, a new money system with equal rules for all participants, running on a network that does not censor or discriminate, used by individuals who do not need to show a passport or an ID and held by citizens in a way that is hard to confiscate and impossible to debase.”
https://bitcoinmagazine.com/culture/check-your-financial-privilege

2026-01-17 03:07:48 UTC

“In reality, only 13% of our planet’s population is born into the dollar, euro, Japanese yen, British pound, Australian dollar, Canadian dollar or Swiss Franc. The other 87% are born into autocracy or considerably less trustworthy currencies. 4.3 billion people live under authoritarianism, and 1.2 billion people live under double- or triple-digit inflation”
An astounding way to put your financial privilege in check. Does this statistic change or enhance your rating and or perception of Bitcoin?
https://bitcoinmagazine.com/culture/check-your-financial-privilege

2026-01-17 02:58:49 UTC

A mighty step in the right direction
#note1y4z…7j5p

2025-12-19 01:33:32 UTC

AI Bias and Incomplete Representation in Systematic Reviews
Can years of progress in research representativeness be undermined by AI-driven systematic reviews?
Large Language Models (LLMs) are trained on datasets that may contain gaps, under-representation, or skewed patterns in the way certain demographic or clinical groups are documented. When these models assist with systematic reviews, incomplete data can lead to biased interpretation or reduced visibility of less-studied populations, This is not by intention but by limitations in the underlying training data.
According to the University of Western, AI tools can be highly useful across multiple stages of evidence synthesis, including:
Search strategy development
Locating relevant articles
Screening and data extraction
Organizing and coding information
Mediation and workflow support
But each stage also carries risk if the AI system inherits distortions from unrepresentative datasets. Human oversight remains essential to ensure that scientific conclusions remain accurate, population-relevant, and methodologically sound.
https://image.nostr.build/0425e8313f3c777911e8b0eaaef92a08a889d74a249e85f703ac40d3888fa506.jpg

2025-12-19 01:32:48 UTC

AI Hallucinations in Evidence Synthesis
Can you believe Artificial Intelligence (AI) can make errors severe enough to be classified as “hallucinations”?
A traditional systematic review (SR) typically requires ~67 weeks and a team of several experts. AI-assisted evidence synthesis can compress this timeline dramatically—but not without trade-offs.
One major concern: AI hallucinations, which can appear in two forms during rapid evidence synthesis.
Intrinsic hallucinations:
The model generates output that contradicts the source.
Example: A summary states the opposite conclusion of the original study under review.
Extrinsic hallucinations:
The model includes information that cannot be confirmed or denied by the source.
Example: Additional claims appear in the summary that were never present in the article being analyzed.
As AI accelerates the research pipeline, understanding these failure modes becomes essential for anyone relying on automated evidence synthesis.
#introductions
https://image.nostr.build/2af4c0c748b6d3894cfcf30819b544762758cea523e98ad4778623366aa90491.jpg
https://image.nostr.build/9a2d73a36def9f087dac85422f87f47f78eaee5b74f7a1dd24190eec3ea91e83.jpg