3 Commits

Author	SHA1	Message	Date
josh	4c1c0e9ff2	Overhaul model system with multi-stage training, variants, benchmarks, and eval ... Replace the single-stage training + flat capability score with a realistic AI development pipeline: pre-training with Chinchilla scaling laws, SFT with specializations, alignment with safety/capability tradeoffs (RLHF/DPO/Constitutional), model families with distillation/fine-tuning/quantization variants, named benchmark suite with compute-costing eval jobs, and segment-specific market quality. Phases 1-6 of the model rework plan: new types, engine rewrite, save migration, training events/risk system, concurrent training, variant creation, benchmark evaluation with leaderboard, and market integration. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-04-25 07:36:34 -04:00
josh	f9f6233b69	Comprehensive UX polish: fix 19 friction points across all pages ... Addresses broken interactions (notification bell, browser dialogs), missing feedback states (disabled buttons, pricing changes, paused indicator), unclear affordances (research queue, model tuning, funding requirements), and navigation gaps (hash routing, keyboard shortcuts, clickable dashboard cards, sidebar grouping, tutorial hints). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-04-24 21:44:18 -04:00
josh	0ff8a32b95	Add Week 4 social features, regulation, and safety tradeoffs ... Leaderboard page with category tabs and score submission, shareable company stats card with clipboard copy, dynamic regulation system (compliance costs scale with capability and era, regulatory standing tracks safety research), 6 geopolitical events (export controls, energy crisis, natural disaster, AI safety summit, immigration policy, data sovereignty), safety-capability tradeoff (safety score affects benchmark, low safety triggers incidents with reputation damage), and enhanced event consequence handling for regulation and talent types. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-04-24 18:02:30 -04:00