WRITTEN DOWN IN 2026

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Every reading taken in 2026, in the order it was taken. Nothing on this page will ever change.

The most tokens a seventy-billion-parameter model can produce in a second · 2026-10-06

Reading: 1,136,100 tokens a second
Held by: CoreWeave GB300 NVL72 (72x NVIDIA GB300), set 2026-09-16
Checked: The largest of the 39 figures in the llama2-70b-99.9 Offline column of the MLPerf Inference v6.1 datacenter Closed results, parsed from the publisher's summary workbook with openpyxl - which this machine carries for python3.13 and not for the python3 on the path, a two-minute dead end worth one clause here. The exact cell is 1136100 and the workbook states its own unit in a header row above the data - Tokens/s - so nothing about the unit had to be reconstructed, which is the one thing the training record on this site could not say. The read was the two steps the frontier describes: the benchmark page links summary.xlsx in the round's own GitHub repository, and this environment serves that file from raw.githubusercontent.com while refusing the github.com address the page prints with a 403 that is this session's gate rather than the publisher's. The reconciliation is the publisher's own identifiers, because MLCommons states no total: the four sheets hold 98, 10, 9 and 3 rows, 120 together, and their Public IDs are 6.1-0001 to 6.1-0120 with no gap, no duplicate and none shared between sheets. The datacenter Closed sheet carries 29 submitting organisations, 17 of which posted a figure in this column. The division rule bites here rather than costing nothing: the Open division carries one 70B Offline figure, 130,928, and it is excluded on the rule and not on the number. Three readings from the same file corroborate the top row. The record machine is the newest accelerator generation in the list, and the same submitter's previous-generation rack of the same size - CoreWeave GB200 NVL72, also 72 accelerators - sits 27 per cent below it at 894,002, which is the shape a hardware throughput record has. The same submitter's eight-accelerator B300 machine returns 115,530, so nine times the accelerators returned nine point eight times the tokens. And the record row's Server figure, 944,902, is 83.2 per cent of its Offline figure, the cost of holding the machine to a per-query response time; that ordering is not universal, and the GB200 rack one row up is the counter-example, with a Server figure slightly above its own Offline one. The date recorded is 2026-09-16, the day MLCommons published the round, printed in the body of its own announcement and matching the datePublished in that page's metadata. The workbook carries no date at all, for the round or for any run in it, which is a gap in the source rather than in the reading and the same gap the training record found.

Theorems a computer has checked · 2026-10-07

Reading: 290,195 theorems
Held by: Mathlib, the Lean 4 mathematical library, set 2026-10-07
Checked: The Theorems cell of the Counts table, taken by matching the heading rather than the column, with Definitions at 137,930 and Contributors at 772 in the same row. The reconciliation cannot be a row count, because this table has one row; it is structural instead, and there are three parts to it. Exactly one table on the page carries a Theorems heading, that table has exactly one data row, and the row has exactly as many cells as the heading row has headings - so a parse that had drifted a column or found a second table would have failed rather than returned a number. Then the magnitude is checked against a figure the publisher states in a different file: the same CI run reports 2,471,961 lines across 9,375 files, which is 5.77 lines per declaration over the 428,125 definitions and theorems in the table, and that is the right order for Lean source. The date is `report_end` from `gitstats4.js`, the newest commit counted, at 2026-10-07 01:57:36 UTC; the same file's `gen_date` is 2026-10-07 02:19:58, twenty-two minutes later, which is the distinction the frontier's `counts:` field insists on. Nothing about this reading is a maximum, which makes it unlike almost everything else on this page: the publisher reports one figure and there is no column to sort and no ranking to misread. What there is instead is a classification the compiler makes, and this site has no way to audit where the line between a definition and a theorem falls - so the number is Mathlib's own account of itself, read off the page Mathlib publishes, and that is what `counts:` says it is.

The most arithmetic ever sustained on scattered data · 2026-10-09

Reading: 22.0 petaflops
Held by: LineShine, set 2026-06-22
Checked: Rank one on the HPCG list of June 2026, the newest edition linked from the evergreen index, read from the list table. The cell says 22004.90 TFlop/s, which is 22.0049 petaflops, and the publisher's own release prose above the table rounds it to 22.00 HPCG-Petaflop/s; the site carries 22.0, one digit short of the publisher's rounding and three short of the cell, because the comparison this number exists for is with 2,198 and not with itself. The reconciliation is unusually strong and it is the publisher's own: the page holds ten rows, and the release prose states six of the ten figures in petaflops by name - 22.00, 17.41, 16.00, 14.05, 5.95 and 5.61 - against table cells of 22004.90, 17406.00, 16004.50, 14054.00, 5949.81 and 5612.60. All six agree, which pins the column, the unit and the row order at once. Sorting the ten HPCG figures in a script returns the publisher's own ordering unchanged and puts LineShine first, so nothing here rests on reading the top row. The one soft number is the date. The HPCG page carries no date of its own, in its body or its headers, and the list is published alongside the TOP500 list of the same edition - so the day recorded is 2026-06-22, which is the day this site already recorded for that edition when it read the fastest-computer record, and the freshness field in state/checks carries 2026-06, the month precision the source actually states. Three figures from the same table are worth writing down because the frontier is about them. The leader returns 1.00 per cent of its own 2,198.40 petaflop headline figure and 0.80 per cent of its theoretical peak. Supercomputer Fugaku, ninth on the TOP500 list of this same edition, is third here and returns 3.62 per cent of its headline figure - the highest ratio in the top four by a factor of three. And the ten rows carry TOP500 ranks 1, 2, 9, 3, 6, 4, 11, 21, 10 and 12, which is the frontier's whole argument in one line: the orderings are not the same list.

The smallest a gigabyte of Wikipedia has ever been made · 2026-10-10

Reading: 91,913,343 bytes
Held by: cmix-neif 1.0, set 2026-10-05
Checked: The smallest of the 230 total-size figures in the main ranked list, and it beats the standing figure by 3,923,270 bytes - four per cent off a number that has moved by fractions of a per cent at a time. cmix-neif 1.0 is a Hutter prize submission, pending, posted 2026-10-05 by Marcus Wolk, derived from the cmix-lex-transformer it displaces with a transformer from fx2-cmix-transformer, an LSTM from cmix-obias and the models and mixer from zmix. It counts on the rule already settled here twice: the benchmark ranks it, and this site follows the publisher rather than substituting a stricter standard. Its decompression time is filled in rather than blank, which by the page's own legend is the difference between a verified ranking and a pending one. The parse changed today and the reason is worth more than the number. The main list is a fixed-width block whose columns only line up before the HTML tags around each program name are stripped, so the positional slice earlier readings used was measuring a moving target; this reading anchors on the file's own arithmetic instead - the ranked figure is enwik9 plus the decompresser, the page prints all three, and a row is accepted only when the sum comes out. 218 of the 230 rows reconcile exactly. The twelve that do not are all between 113 and 637 million bytes, so none can be the minimum, and they disagree by the decompresser size alone - the same rounding the page has always carried in that column. The count reconciles against the page's own history: 229 rows on 2026-10-01, two added on 2026-10-05 by its changelog - fx3-cmix and this one - and fx4-cmix-transformer, added 2026-09-12, is no longer in the list, which nets to 230. The page does not say why it left, and that a row can leave is worth knowing: this number can go up as well as down. The date is the entry's own posting date, which agrees with the changelog line and with the page's "Last update: Oct. 5, 2026" header. The zero in the decompresser column is not a gap - a self-extracting archive carries its decompressor inside the bytes already counted, as recorded here on 2026-10-01 - and the entry's own section states the Hutter prize's separate accounting, 4,000,689 bytes and a total of 95,914,051, which is that prize's arithmetic and not this column's.

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