Recent Updates

This list combines dated project changes from the changelog with the latest reviewed pages.

Latest 20 updates

• 2026-10-19 · Life Level-up Guide | Lifelong Learning in the AI Era — Learning continuously in the AI era, Life Level-up Guide helps ordinary people complete real projects, move through difficult seasons, and preserve evidence of growth.
• 2026-10-19 · Third-party Resources | Verify Before Use — Optional AI learning and tool links with review dates, public positioning, and a clear non-sponsorship boundary. Independently verify terms, privacy, pricing, copyright, and service status before use.
• 2026-10-19 · English Diagnostic: Four-skill Baseline and Transfer Record — Preserve listening, reading, speaking, and writing first versions, conditions, errors, feedback, delayed retests, and CEFR direction without replacing ability evidence with averages or polished work.
• 2026-10-19 · Learning Principles: Turn Effort into Verifiable Learning — Use real tasks, first-version baselines, retrieval, feedback, spacing, recovery, and cross-session state so effort becomes comparable and transferable evidence.
• 2026-10-19 · Vocabulary: From Familiarity to Retrieval in Real Tasks — Begin with a first-encounter baseline and lookup decisions, verify sense and collocation, then build usable vocabulary through unaided retrieval, error repair, and delayed transfer.
• 2026-10-19 · Listening: From Sound Recognition to Real Understanding — Begin with one uninterrupted first pass, locate language, segmentation, structure, background, and attention barriers, then use minimum transcript support, meaning reconstruction, output, and delayed transfer.
• 2026-10-19 · Reading: From Word-by-word Translation to Claims and Evidence — Begin with a real reading task and first-pass baseline, then separate language, structure, background, layout, and attention barriers while training technical documentation, source comparison, evidence checks, and delivery.
• 2026-10-19 · Speaking: Make Meaning Arrive — Begin with unscripted baselines, a reference variety, and real listeners to train comprehensibility, pronunciation, chunks, interaction repair, and transfer without treating accent removal as the goal.
• 2026-10-19 · Writing: From Draft to Verifiable Revision — Begin with a real audience and unaided draft, then train intention, facts, structure, register, feedback uptake, translation boundaries, AI collaboration, asynchronous handover, and authorship responsibility.
• 2026-10-19 · Grammar: Let Structure Serve Meaning — Begin from a real task and an unpolished sample, treat grammar as choices about time, participants, certainty, logic, and information focus, then build usable structure through contrast, output, feedback, delayed retest, and transfer.
• 2026-10-19 · English Diagnostic | Find a Retestable Baseline — Start with one five-minute English baseline, then complete a four-skill diagnostic and fourteen-day retest when your goal calls for it.
• 2026-10-18 · Entrepreneurship: From Ambition to Purpose — A personal review of products, cash flow, technical debt, failure, recovery, and starting again, without offering a success formula or investment advice.
• 2026-10-18 · My Story: Failure, Recovery, and Starting Again — A personal account of business setbacks, entrepreneurial losses, disrupted health and life, and finding the courage to act again after returning home.
• 2026-10-16 · AI Evaluation Record — Record scope, held-out cases, versions, mandatory checks, failures, and complete process costs to decide whether to adopt, repair, or withdraw an AI workflow.
• 2026-10-16 · AI Learning Log: From Tool Collaboration to Independent Ability — Record a real learning task, unaided baseline, tool scope, source checks, active production, delayed retest, transfer, and the next cycle decision.
• 2026-10-16 · AI Task Brief: From Problem to Human Acceptance — Before an AI learning or project task, define the real action, data boundary, sources, evaluation set, human ownership, cost, failure handling, and handover.
• 2026-10-16 · AI Trend Experiment: From Signal to Decision — Record a primary source, task hypothesis, manual baseline, held-out set, permissions, full cost, independent transfer, and exit conditions for one new AI capability.
• 2026-10-16 · AI Learning, Project Development, and Resource-layer Entrepreneurship — Han Xiankai's path from learning with AI to building and operating an AI resource layer, with engineering, delivery, operations, and business results kept distinct.
• 2026-10-16 · AI Trends and a Learning Roadmap: Turn Change into Ability — Use primary signals, reproducible experiments, and independent transfer to decide which AI capabilities are worth learning, covering agents, multimodal inputs, context, local models, evaluation, and provenance.
• 2026-10-16 · AI Evaluation and Reliability — Knowing When to Deliver — Compare AI workflows using real tasks, small test sets, failure categories, and full process costs, and distinguish a successful demo from dependable use.

Continue

• English Diagnostic Hub
• AI Learning Workflow Hub
• Real Projects, Jobs, and Entrepreneurship
• Third-party Resources

Subscribe to the Atom feed.