What this is

Today's AI media splits into news stenography and 101 education. Nobody makes reproduction the product. We do. When a result matters, we run the paper, score the reproduction, and ship the minimal runnable code — so you know what holds up before you load it into your work. The name is the thesis: a checkpointis both a saved state you can resume from and an inspection station you pass through.

The seven principles

  1. Assume the reader has implemented attention.We skip the 101 and spend the words on what is new or non-obvious. We will never explain what a gradient is.
  2. A result is not real until it reproduces.Every claim is provisional. The reproduction is the source of truth — not the abstract, not the leaderboard.
  3. Show the artifact.We link the repo, the commit, the config, the eval harness, the seed. If we cannot point to runnable code or a reproducible number, we say so out loud.
  4. Numbers with error bars, not adjectives.“State of the art” means nothing without the eval setup and the variance. We quantify, or we explicitly qualify.
  5. Lead with the tradeoff.Every technique costs something — memory, latency, data, throughput, stability. We name the cost before the headline.
  6. Hype is a bug; we file it.We separate what shipped from what was tweeted, and call out cherry-picked demos and benchmark gaming — politely, with receipts.
  7. Be wrong in public.When a take ages badly or a repro flips, we publish a dated update and a changelog. Never a silent edit. Credibility comes from the corrections.

The reproduction verdicts

Reproductions carry an explicit verdict. It is content, not decoration: it tells you whether to trust a result before you read a word of the writeup.

Verified
We (or a credible third party) reproduced the central claim within a reasonable tolerance, on disclosed hardware, with the harness and seeds attached.
Partial
Some claims reproduced; others did not, or only under narrower conditions than reported. The gap is documented.
In progress
A reproduction is actively underway. Interim findings may be posted; the verdict is not yet final.
Contested
Credible reproductions disagree, or the result depends on details not fully specified. We track both sides.
Failed
A good-faith reproduction with adequate compute did not recover the central claim. We document exactly what we ran.

The verification rubric

Before a reproduction earns a verdict, we ask:

  • Is the harness public? We link the exact eval code and config, or we explain why it is unavailable.
  • Are seeds and hardware disclosed? A single-seed result on undisclosed hardware is an anecdote, not a measurement.
  • Is the comparison fair? Same tokenizer, same data, same budget — or the differences are named.
  • What is the variance? We report ranges across seeds where we can, and flag where we can't.
  • Whose numbers are these? We never quote a paper's figure as if we reproduced it. Reported and reproduced numbers sit in separate columns.

Corrections & updates

When a take ages badly or a repro flips, we publish a dated update at the top of the piece and keep the original text legible beneath it. We do not quietly rewrite history. Every substantive change is stamped with an updatedDate; evergreen explainers show when they were last reviewed. Found an error? Open an issue or PR onthe repo — corrections from readers are credited.

Independence

No funding-round coverage, no exec drama, no sponsored explainers. If we ever cover a tool we have a stake in, we disclose it inline. The only thing we are selling is the discipline of checking.

Citing us

Every article is a citable checkpoint with a stable id and a copyable@checkpoint key in its footer. Cite the checkpoint, not the tweet.