Scaling laws drove AI progress for years, but the debate has shifted toward inference-time compute and architectural innovations. We explain the current state of the scaling debate and what it means for users.
Travis Johnson
January 7, 2026 · 11 min
A complete retrospective of every significant AI model release in 2025 — benchmarks at launch, what changed from predecessors, and which releases actually moved the capability frontier.
Travis Johnson
December 26, 2025 · 14 min
OpenAI, Anthropic, Google DeepMind, Meta, xAI, Mistral, and Cohere are all competing for AI dominance. We map the competitive landscape, analyze strategic positioning, and assess who's ahead in each dimension.
Travis Johnson
December 18, 2025 · 13 min
The capability gap between open-weight and closed models has narrowed dramatically. We analyze where the gap remains, where open models have caught up, and what the trajectory means for developers and enterprises.
Travis Johnson
December 10, 2025 · 12 min
The sticker price of AI subscriptions hides real costs: time switching between tools, context loss, inconsistent outputs, and the cognitive overhead of managing multiple accounts. The full accounting changes the math.
Travis Johnson
December 2, 2025 · 10 min
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