Learn / Expert Corrections: One Task, Every Correction That Counts
Expert Corrections: One Task, Every Correction That Counts
Training discussion board — every chapter's threads and your study groups, in one feed.
Practice mental model transfer via reasoning corrections: reconstruct the task-relevant architecture and context, ground it in artifacts, then show how it changes a decision and how to falsify it. One task on the workbench leads to the Signing Bench, with FIFO, analog and digital physical design examples. The purpose is to capture your intelligence in your day-to-day work as evidence a laboratory can evaluate on held-out work; measured training gains are not assumed.
Prerequisites: The ability to read a design in your domain and say what is wrong with it. The technical interview that opens paid work, or the Industrial Chip Design training, is the expected background; neither is enforced. Reading, the worked examples and the checks are free. The one task the tutorial runs uses credits as any run does; the bench’s authoring form opens on an approved signing-bench application.
This page is open to everyone. The chapters open once you sign in — free, with GitHub — because your progress, your runs, and your credential all belong to an account.
Chapter 1 of 4
One Task, and the First Corrections
Read the lesson, apply it to your project, check your understanding, then continue to the next chapter.
Explore any chapter, even before finishing the previous one.
Technical interview: voice or text
About an hour with an AI interviewer, on the track you choose. Type your answers, or use spoken questions and dictation where your browser supports them. You can edit the answer before submitting it. A pass stands for a year. It is what opens paid work on the platform: the signing bench, contracts, and expert matching.
The credential is the training’s proof of the work; the interview is where you defend it. You can sit it now or after the credential. You can start or continue the course without it.
Take the technical interviewChapters
Chapters
- 1. One Task, and the First CorrectionsReconstruct a task-relevant mental model before the first correction, grounding its blocks, dependencies and boundaries in artifacts and checking the changed decision.~2.5 hours
- 2. When the Approach Is WrongLocate the missing dependency behind a wrong approach, preserve valid work and re-brief with a grounded model, a permitted decision and a falsifier.~2 hours
- 3. The Trajectory, Step by StepLink a reconstructed mental model to the first mistaken trajectory step, preserving what was known then and testing the rule on a changed topology.~2.5 hours
- 4. Verdicts, and the BarJudge whether the correction transfers a grounded mental model, test its decision and falsifier on withheld variants, and distinguish project verification from measured training gain.~2 hours
Corrections of Record
Every correction you made on the tutorial’s task, listed with its class, its location, its reason, the check that proved it and its ten-question self-review, with the one you would delete from the record named and the reason given, plus two verdict notes an operator could record and one cross-review on the board.
- A compact task-relevant graph with artifact anchors, the missing context, linked corrected step indices, a changed decision, a falsifier and an unseen variant that changes one model assumption.
- A corrections-of-record file in the task workspace: one entry per save, restore and step correction, each with class, location, reason, check and self-review.
- Two verdict notes in the Cockpit, a gate note and an intent note, each four sentences with a location per claim, a scope and a falsifier.
- One correction posted for cross-review on the board with at least one review on it, and one review of a classmate’s correction written in the reviewer’s order.
How completion is verified: Completing the four checks completes the tutorial. The capstone is not verified by the platform: whether a correction is kept for a dataset depends on current contributor consent, authority to license and a buyer’s quality checks, and the tutorial does not claim otherwise.