Articles
In-depth research, comprehensive guides, and long-form thoughts on modern technology.
Python Built-in Functions: A Guide to Essential Tools
Master Python's built-in functions for math, data types, iterables, and I/O to write cleaner, more Pythonic code with this comprehensive overview.
CSS pointer-events: Controlling Click and Hover Interactions
Discover how CSS pointer-events controls which elements respond to mouse clicks and hovers, with practical use cases for modals, overlays, and SVG graphics.
CSS writing-mode: Vertical and Horizontal Text Layouts
Learn how CSS writing-mode controls text direction and layout orientation, enabling vertical text for East Asian scripts and creative web designs.
AGI is not multimodal: why stitching together language and vision will not create general intelligence
A researcher argues that multimodal AI, which combines language and vision models, cannot achieve AGI because it lacks the embodied, interactive understanding of physical reality.
After orthogonality: why virtue ethics may be the key to aligning AI with human values
A philosophical essay argues that rational agents should not have fixed goals, and that eudaimonic rationality offers a safer framework for AI alignment than consequentialist optimization.
The AI slot machine effect: how generative feeds are breaking our ability to focus
Generative AI feeds create an 'AI slot machine effect' that hijacks attention through constant context switches, disrupting the sustained focus needed for deep work.
Agent security gap: 54% of enterprises hit by AI agent incidents while controls lag behind
A VentureBeat survey finds 54% of enterprises have suffered an AI agent security incident or near-miss, yet only 32% give every agent its own scoped identity.
Enterprise AI spending outruns its own accounting: the compute gap nobody talks about
A VentureBeat survey of 107 enterprises finds AI infrastructure spending is accelerating faster than the ability to measure it. 83% report GPU utilization at 50% or less.
Scaling Laws, Carefully
Scaling laws dictate how we build the world's largest AI models, but the delicate math behind parameter and data allocation is still being heavily debated.
Harness Engineering for Self-Improvement
True recursive self improvement in AI requires more than better weights; it relies on harness engineering to optimize the environment where models operate.
Agents
The ultimate goal of AI is creating autonomous agents. From tool selection to hierarchical planning, understanding agent architecture is key to the future.
Common pitfalls when building generative AI applications
Building AI applications is deceptively easy at the demo stage, but scaling to production reveals critical pitfalls in UX, tool integration, and evaluation.