Building Cities: Why Trust is the New Infrastructure Backbone
Paragrin argues that true urban efficiency requires inverting the data model to prioritize local trust and safety over raw data collection.
By Nikhil Raghavan ·
Paragrin argues that true urban efficiency requires inverting the data model to prioritize local trust and safety over raw data collection.
By Nikhil Raghavan ·
Web search is pivoting from capturing human clicks to executing complex workflows driven by machine computation.
By Nikhil Raghavan ·
Rich Sutton argues that current LLMs only process static knowledge, fundamentally failing to achieve genuine intelligence through continuous weight updates.
By Bram de Vries ·
True digital sovereignty requires owning the entire agent loop—harness, model, and context—to build proprietary systems of record.
By Grant Colby ·
As compute power commoditizes, high-skilled human judgment and structured data curation are defining the next wave of AI value.
By Klaus Berger ·
Building specialized intelligence requires embedding unique human judgment and curated data directly into models, moving beyond general APIs.
By Ray Dombrowski ·
Building advanced AI requires mastering the entire data-to-deployment lifecycle through specialized infrastructure, not just massive compute budgets.
By Ray Dombrowski ·
The latest financial fireworks display—the spectacular implosion of Leopold Aschenbrenner’s AI hedge fund—is not merely an investment flop; it is a perfect, sickening portrait of…
By Maya Ellison ·
Kalshi’s model reveals that continuous internal disagreement is necessary to navigate extreme regulatory optimism.
By Nikhil Raghavan ·
While touting interoperability, Anthropic's platform strategy subtly centralizes power around its own model family (Claude).
By Imani Sutton ·
Enterprise automation is shifting from manual prompting to self-correcting agents focused on cost control and modularity.
By Grant Colby ·
While Kareem Amin advocates for present-moment commitment, the advice struggles to translate into actionable policy for struggling communities.
By Ray Dombrowski ·
Experts argue the Transformer model is fundamentally limited and cannot achieve true continual learning in complex, messy environments.
By Imani Sutton ·