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Are Blockchains Decentralized? Unintended Centralities in Distributed Ledgers
The report investigates the true decentralization of blockchains, highlighting various forms of centralization, vulnerabilities in consensus protocols, and the implications for security and immutability in networks like Bitcoin and Ethereum.
blog.trailofbits.comA matter of choice: People and possibilities in the age of AI
The 2025 Human Development Report explores the intersection of artificial intelligence and human development, emphasizing the importance of people's choices in shaping equitable outcomes amid technological advancements.
hdr.undp.orgTechnologies_for_Enhancing_Collocated_Social_Inter
This document reviews design solutions and approaches for enhancing collocated social interaction with technology, identifying key research problems and gaps in knowledge.
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Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task
Analyzes cognitive impacts of using large language models versus search engines or no tools during essay writing, measuring brain activity, engagement, memory effects, essay quality, ownership, and learning outcomes through EEG and NLP methods.
LinkJim Simons: "My algorithm has always been: you get smart people together and you give them a lot of freedom. Create an atmosphere where everyone talks to everyone else. Provide the best infrastructure. And make everyone partners. That was the model that we used in Renaissance." https://t.co/SQnivhQlET
Frederik Gieschenx.comHow to become expert at thing:
1 iteratively take on concrete projects and accomplish them depth wise, learning “on demand” (ie don’t learn bottom up breadth wise)
2 teach/summarize everything you learn in your own words
3 only compare yourself to younger you, never to others
Andrej Karpathyx.comcalled Classification and Regression Trees (CART), employs this elegant form of pruning, plus numerous other bells and whistles in its routines.11 CART was established by a 1984 book of the same name by four legendary researchers from Berkeley and Stanford: Leo Breiman, Jerome Friedman, Charles Stone, and Richard Olshen. I call them the “Fab Four.”
Eric Siegel • Predictive Analytics
genetic search for structure and gradient descent for parameters. And even that may be overkill. For a lot of problems, you can whittle genetic search down to hill climbing if you do three things: leave out crossover, try all possible point mutations in each generation, and always select the single best hypothesis to seed the next generation.