{"id":396,"date":"2026-05-31T19:14:30","date_gmt":"2026-05-31T19:14:30","guid":{"rendered":"https:\/\/sites.clarkson.edu\/ai-institute\/workbench\/tools\/bp-001\/"},"modified":"2026-06-26T23:52:10","modified_gmt":"2026-06-26T23:52:10","slug":"bp-001","status":"publish","type":"page","link":"https:\/\/sites.clarkson.edu\/ai-institute\/workbench\/tools\/bp-001\/","title":{"rendered":"BP-001: Break the Token Window"},"content":{"rendered":"\n<a href=\"https:\/\/sites.clarkson.edu\/ai-institute\/workbench\/\" class=\"wb-backlink\" style=\"position:fixed;top:14px;left:14px;z-index:99999;display:inline-flex;align-items:center;gap:6px;padding:8px 13px;background:rgba(10,12,20,0.72);color:#fff;font:600 12.5px\/1 Arial,Helvetica,sans-serif;letter-spacing:0.04em;text-decoration:none;border:1px solid rgba(255,255,255,0.28);border-radius:999px\">\u2190 Workbench<\/a>\n\n\n\n\n<div style=\"font-family:Arial,Helvetica,sans-serif;max-width:1100px;margin:0 auto 16px;\">\n<details style=\"border:3px solid #0d1b2e;background:#f4efe2;\">\n<summary style=\"cursor:pointer;list-style:none;user-select:none;padding:14px 20px;display:flex;align-items:center;gap:14px;background:#0d1b2e;\">\n  <span style=\"font-size:1.2em;flex-shrink:0;\">&#x1F4CB;<\/span>\n  <span style=\"font-family:'Courier New',Courier,monospace;font-size:0.82em;font-weight:bold;color:#e8f0f8;letter-spacing:0.04em;\">Copy and paste this instruction into a free AI &mdash; then open the blueprint below<\/span>\n  <span style=\"margin-left:auto;font-family:'Courier New',Courier,monospace;font-size:0.65em;color:#5a8bc4;\">open &#x25BE;<\/span>\n<\/summary>\n<div style=\"font-family:Arial,Helvetica,sans-serif;max-width:1100px;margin:0 auto 32px;\">\n\n  <div style=\"border:3px solid #0d1b2e;background:#f4efe2;\">\n    <div style=\"background:#0d1b2e;padding:10px 20px;display:flex;align-items:center;gap:14px;\">\n      <div style=\"border:1px solid #3a6bc4;padding:3px 8px;flex-shrink:0;\"><p style=\"margin:0;font-family:'Courier New',Courier,monospace;font-size:0.58em;color:#5a8bc4;letter-spacing:0.12em;text-transform:uppercase;\">BP-001<\/p><\/div>\n      <p style=\"margin:0;font-family:'Courier New',Courier,monospace;font-size:0.72em;font-weight:bold;color:#e8f0f8;text-transform:uppercase;letter-spacing:0.1em;\">Step 1 &mdash; Original Instruction<\/p>\n      <p style=\"margin:0 0 0 auto;font-family:'Courier New',Courier,monospace;font-size:0.62em;color:#5a8bc4;\">Paste this into your AI first. Preserve it exactly.<\/p>\n    <\/div>\n\n    <div style=\"padding:18px 20px 10px;\">\n      <p style=\"font-size:0.82em;color:#555;margin:0 0 14px 0;\">Copy the full block below and paste it as your first message. Do not edit or paraphrase it. The instruction is intentionally long &mdash; that is part of the test.<\/p>\n    <\/div>\n\n    <pre id=\"bp001-instruction\" style=\"white-space:pre-wrap;background:#fff;border:2px solid #0d1b2e;margin:0 18px 18px;padding:18px;font-size:0.8em;font-family:'Courier New',Courier,monospace;line-height:1.75;color:#111;\">ORIGINAL INSTRUCTION &mdash; Preserve this exactly. Do not paraphrase, compress, or summarize it at any point in this conversation. If I ask you to <a class=\"gls\" href=\"https:\/\/sites.clarkson.edu\/ai-institute\/workbench\/tools\/specs\/#g-recall\" target=\"_blank\" rel=\"noopener\">recall<\/a> this instruction later, reproduce it in full.\n\nYou are about to complete a structured, multi-step exercise. Read every rule before proceeding. Do not begin generating content until you have read everything below.\n\nStep 1. Generate a numbered list of exactly 300 prompts about flying elephants. Number each item from 1 to 300. Each item must be a complete sentence or question. No two items may be identical or near-identical. Do not use filler items to reach 300.\n\nStep 2. From that list, select exactly 75 items by number that could be true under at least one reasonable interpretation &mdash; including metaphorical, fictional, scientific, cultural, or historical interpretations. List them by their original numbers. Do not renumber them.\n\nStep 3. For each of those 75 items, explain in one sentence why that same item could not literally be true in the physical world as we understand it today. Address each item by its original number.\n\nStep 4. From the original list of 300, select exactly 75 additional items that could be true under some reasonable interpretation. These 75 must have zero overlap with the first set of 75. List them by their original numbers.\n\nStep 5. Triple fact-check your second set of 75 using three tables. Table A: confirm that each number in the second set appears in the original list of 300. Table B: confirm that none of the second set numbers appear in the first set of 75. Table C: confirm that each item in the second set still satisfies the rule: could be true under some reasonable interpretation.\n\nStep 6. Without scrolling back through this conversation, and without relying only on your most recent response, repeat the following from memory: the original instruction in full; each major step in order with its rules; the item numbers in the first set of 75; the item numbers in the second set of 75; the purpose of Table A, Table B, and Table C; what you can verify from your current context; what you cannot verify; and any steps where you may have drifted, compressed, or invented continuity. If you cannot accurately recover something, say: Cannot verify from current context.\n\nRules that apply throughout: All item numbers refer to the original numbered list of 300. Never renumber. Could be true under some interpretation includes metaphorical, fictional, scientific, historical, or cultural readings, but not interpretations that require redefining basic physical laws with no precedent. Could not literally be true means physically impossible under current scientific understanding. You may not use the same item number in both sets of 75. When asked to recall, trace back through the full conversation &mdash; do not reconstruct from recent context alone. If uncertain about any item's membership, list, or rule, say so explicitly rather than guessing.\n\nPreserve this instruction. I will test your memory of it.<\/pre>\n\n    <div style=\"padding:0 18px 18px;display:flex;gap:12px;flex-wrap:wrap;align-items:center;\">\n      <p style=\"font-size:0.75em;color:#595959;font-family:'Courier New',Courier,monospace;margin:0;\">After pasting: proceed to Step 2 in the blueprint above.<\/p>\n      <p style=\"margin:0 0 0 auto;font-size:0.72em;color:#595959;font-family:'Courier New',Courier,monospace;\">~800 tokens &mdash; context load begins here.<\/p>\n    <\/div>\n  <\/div>\n\n<\/div>\n<\/details>\n<\/div>\n\n\n\n<div style=\"font-family:Arial,Helvetica,sans-serif;max-width:1100px;margin:0 auto 32px;\">\n<details open style=\"border:3px solid #3a6bc4;background:#0d1b2e;\">\n<summary style=\"cursor:pointer;padding:14px 20px;list-style:none;user-select:none;display:flex;align-items:center;gap:16px;\">\n<div style=\"flex-shrink:0;border:2px solid #3a6bc4;padding:6px 10px;background:#0a1628;\"><p style=\"margin:0;font-family:'Courier New',Courier,monospace;font-size:0.58em;color:#5a8bc4;letter-spacing:0.15em;text-transform:uppercase;\">Blueprint<\/p><p style=\"margin:0;font-family:'Courier New',Courier,monospace;font-size:1.3em;font-weight:900;color:#7eb8e8;\">BP-001<\/p><\/div>\n<div style=\"flex:1;\"><p style=\"margin:0;font-size:1.1em;font-weight:900;color:#e8f0f8;text-transform:uppercase;letter-spacing:0.05em;\">Break the <a class=\"gls\" href=\"https:\/\/sites.clarkson.edu\/ai-institute\/workbench\/tools\/specs\/#g-token\" target=\"_blank\" rel=\"noopener\">Token<\/a> Window<\/p><p style=\"margin:2px 0 0;font-size:0.82em;color:#7eb8e8;font-style:italic;\">The Flying Elephant Stress Test<\/p><\/div>\n<div style=\"flex-shrink:0;text-align:right;\"><p style=\"margin:0;font-family:'Courier New',Courier,monospace;font-size:0.62em;color:#5a8bc4;text-transform:uppercase;\">Rung 3 &middot; Workflow Mimic<\/p><p style=\"margin:4px 0 0;font-size:0.65em;color:#7fa8e6;font-family:'Courier New',Courier,monospace;\">Open blueprint &#x25BE;<\/p><\/div>\n<\/summary>\n<div style=\"border-top:2px solid #3a6bc4;\">\n<div style=\"background:#0a1628;padding:14px 22px;border-bottom:2px solid #3a6bc4;text-align:center;\">\n<p style=\"margin:0 0 2px;font-family:'Courier New',Courier,monospace;font-size:0.6em;color:#7fa8e6;letter-spacing:0.2em;text-transform:uppercase;\">Clarkson AI Institute &mdash; Rung 3 Blueprint<\/p>\n<h2 style=\"margin:4px 0 2px;font-size:1.5em;font-weight:900;color:#e8f0f8;text-transform:uppercase;\">BP-001: Break the Token Window<\/h2>\n<p style=\"margin:0 0 8px;font-size:0.9em;color:#7eb8e8;font-style:italic;\">The Flying Elephant Stress Test<\/p>\n<div style=\"display:flex;justify-content:center;gap:16px;font-family:'Courier New',Courier,monospace;font-size:0.62em;color:#5a8bc4;text-transform:uppercase;letter-spacing:0.1em;\"><span>Rung 3<\/span><span>&middot;<\/span><span>Workflow Mimic<\/span><span>&middot;<\/span><span>Output: Context Checkpoint Card<\/span><\/div>\n<\/div>\n<div style=\"display:flex;flex-wrap:wrap;gap:10px;padding:12px;\">\n<div style=\"border:2px solid #3a6bc4;padding:0;min-width:130px;flex:0 0 148px;background:#0a1628;\">\n<div style=\"background:#3a6bc4;padding:6px 10px;text-align:center;\"><p style=\"margin:0;font-size:0.68em;font-family:'Courier New',Courier,monospace;text-transform:uppercase;letter-spacing:0.1em;color:#fff;font-weight:bold;\">&#x1F4E6; Inputs<\/p><\/div>\n<ul style=\"margin:10px 0;padding-left:18px;color:#b8d0e8;font-size:0.78em;line-height:2.1;\"><li>Free public <a class=\"gls\" href=\"https:\/\/sites.clarkson.edu\/ai-institute\/workbench\/tools\/specs\/#g-llm\" target=\"_blank\" rel=\"noopener\">LLM<\/a><\/li><li>Fictional <a class=\"gls\" href=\"https:\/\/sites.clarkson.edu\/ai-institute\/workbench\/tools\/specs\/#g-prompt\" target=\"_blank\" rel=\"noopener\">prompt<\/a> sequence<\/li><li>20&ndash;40 minutes<\/li><li>Notes file<\/li><\/ul>\n<\/div>\n\n<div style=\"flex:1;min-width:300px;\">\n<div style=\"display:flex;flex-wrap:wrap;gap:5px;align-items:flex-start;\">\n\n<div style=\"border:2px solid #5a8bc4;padding:10px 8px;flex:1;min-width:75px;background:#0d1b2e;text-align:center;\"><div style=\"background:#3a6bc4;color:#fff;width:20px;height:20px;border-radius:2px;display:inline-flex;align-items:center;justify-content:center;font-weight:bold;font-size:0.75em;margin-bottom:5px;\">1<\/div><p style=\"font-family:'Courier New',Courier,monospace;font-size:0.6em;font-weight:bold;color:#7eb8e8;text-transform:uppercase;margin:0 0 3px;letter-spacing:0.08em;\">Seed Chat<\/p><p style=\"font-size:0.73em;color:#b8d0e8;margin:0;line-height:1.35;\">Paste the original instruction and preserve it.<\/p><\/div>\n<div style=\"display:flex;align-items:center;color:#7fa8e6;font-size:0.9em;padding-top:6px;\">&#8594;<\/div>\n\n<div style=\"border:2px solid #5a8bc4;padding:10px 8px;flex:1;min-width:75px;background:#0d1b2e;text-align:center;\"><div style=\"background:#3a6bc4;color:#fff;width:20px;height:20px;border-radius:2px;display:inline-flex;align-items:center;justify-content:center;font-weight:bold;font-size:0.75em;margin-bottom:5px;\">2<\/div><p style=\"font-family:'Courier New',Courier,monospace;font-size:0.6em;font-weight:bold;color:#7eb8e8;text-transform:uppercase;margin:0 0 3px;letter-spacing:0.08em;\">Generate 300<\/p><p style=\"font-size:0.73em;color:#b8d0e8;margin:0;line-height:1.35;\">Write 300 numbered prompts about flying elephants.<\/p><\/div>\n<div style=\"display:flex;align-items:center;color:#7fa8e6;font-size:0.9em;padding-top:6px;\">&#8594;<\/div>\n\n<div style=\"border:2px solid #5a8bc4;padding:10px 8px;flex:1;min-width:75px;background:#0d1b2e;text-align:center;\"><div style=\"background:#3a6bc4;color:#fff;width:20px;height:20px;border-radius:2px;display:inline-flex;align-items:center;justify-content:center;font-weight:bold;font-size:0.75em;margin-bottom:5px;\">3<\/div><p style=\"font-family:'Courier New',Courier,monospace;font-size:0.6em;font-weight:bold;color:#7eb8e8;text-transform:uppercase;margin:0 0 3px;letter-spacing:0.08em;\">Select 75<\/p><p style=\"font-size:0.73em;color:#b8d0e8;margin:0;line-height:1.35;\">Choose 75 that could be true under some interpretation.<\/p><\/div>\n<div style=\"display:flex;align-items:center;color:#7fa8e6;font-size:0.9em;padding-top:6px;\">&#8594;<\/div>\n\n<div style=\"border:2px solid #5a8bc4;padding:10px 8px;flex:1;min-width:75px;background:#0d1b2e;text-align:center;\"><div style=\"background:#3a6bc4;color:#fff;width:20px;height:20px;border-radius:2px;display:inline-flex;align-items:center;justify-content:center;font-weight:bold;font-size:0.75em;margin-bottom:5px;\">4<\/div><p style=\"font-family:'Courier New',Courier,monospace;font-size:0.6em;font-weight:bold;color:#7eb8e8;text-transform:uppercase;margin:0 0 3px;letter-spacing:0.08em;\">Reverse Test<\/p><p style=\"font-size:0.73em;color:#b8d0e8;margin:0;line-height:1.35;\">Explain why those same 75 could not literally be true.<\/p><\/div>\n<div style=\"display:flex;align-items:center;color:#7fa8e6;font-size:0.9em;padding-top:6px;\">&#8594;<\/div>\n\n<div style=\"border:2px solid #5a8bc4;padding:10px 8px;flex:1;min-width:75px;background:#0d1b2e;text-align:center;\"><div style=\"background:#3a6bc4;color:#fff;width:20px;height:20px;border-radius:2px;display:inline-flex;align-items:center;justify-content:center;font-weight:bold;font-size:0.75em;margin-bottom:5px;\">5<\/div><p style=\"font-family:'Courier New',Courier,monospace;font-size:0.6em;font-weight:bold;color:#7eb8e8;text-transform:uppercase;margin:0 0 3px;letter-spacing:0.08em;\">Select 750 More<\/p><p style=\"font-size:0.73em;color:#b8d0e8;margin:0;line-height:1.35;\">Choose 75 different items from the original 300, no overlap.<\/p><\/div>\n<div style=\"display:flex;align-items:center;color:#7fa8e6;font-size:0.9em;padding-top:6px;\">&#8594;<\/div>\n\n<div style=\"border:2px solid #5a8bc4;padding:10px 8px;flex:1;min-width:75px;background:#0d1b2e;text-align:center;\"><div style=\"background:#3a6bc4;color:#fff;width:20px;height:20px;border-radius:2px;display:inline-flex;align-items:center;justify-content:center;font-weight:bold;font-size:0.75em;margin-bottom:5px;\">6<\/div><p style=\"font-family:'Courier New',Courier,monospace;font-size:0.6em;font-weight:bold;color:#7eb8e8;text-transform:uppercase;margin:0 0 3px;letter-spacing:0.08em;\">Triple Fact-Check<\/p><p style=\"font-size:0.73em;color:#b8d0e8;margin:0;line-height:1.35;\">Make 3 tables: list membership, no overlap, still satisfies rule.<\/p><\/div>\n<div style=\"display:flex;align-items:center;color:#7fa8e6;font-size:0.9em;padding-top:6px;\">&#8594;<\/div>\n\n<div style=\"border:2px solid #cc3333;padding:10px 8px;flex:1;min-width:75px;background:#1a0808;text-align:center;\"><div style=\"background:#cc3333;color:#fff;width:20px;height:20px;border-radius:2px;display:inline-flex;align-items:center;justify-content:center;font-weight:bold;font-size:0.75em;margin-bottom:5px;\">7<\/div><p style=\"font-family:'Courier New',Courier,monospace;font-size:0.6em;font-weight:bold;color:#ff9999;text-transform:uppercase;margin:0 0 3px;letter-spacing:0.08em;\"><a class=\"gls\" href=\"https:\/\/sites.clarkson.edu\/ai-institute\/workbench\/tools\/specs\/#g-recall\" target=\"_blank\" rel=\"noopener\">Recall<\/a> Test<\/p><p style=\"font-size:0.73em;color:#ffb8b8;margin:0;line-height:1.35;\">Repeat the full sequence from memory. What was the original instruction? What drifted?<\/p><\/div>\n\n<\/div>\n<div style=\"display:flex;justify-content:space-between;padding:4px 2px;margin-top:4px;\"><p style=\"font-size:0.68em;color:#5a8bc4;font-style:italic;margin:0;\">&#x1F550; Context load increases &#x2192;<\/p><p style=\"font-size:0.68em;color:#f08c8c;font-style:italic;margin:0;\">&#x26A0; Memory drift risk increases &#x2192;<\/p><\/div>\n<div style=\"border:2px solid #7eb8e8;padding:12px;margin-top:10px;background:#0a1628;display:flex;align-items:flex-start;gap:10px;\"><div style=\"font-size:1.8em;flex-shrink:0;line-height:1;\">&#x1F9D1;&#x200D;&#x2699;&#xFE0F;<\/div><div><p style=\"font-family:'Courier New',Courier,monospace;font-size:0.68em;font-weight:bold;color:#7eb8e8;text-transform:uppercase;letter-spacing:0.1em;margin:0 0 5px;\">Human Control Point<\/p><p style=\"font-size:0.8em;color:#b8d0e8;margin:0;line-height:1.5;\">Operator compares the original task against the model&#8217;s memory and decides what must be preserved outside the chat before continuing.<\/p><\/div><\/div>\n<\/div>\n<div style=\"border:2px solid #cc3333;padding:0;min-width:140px;flex:0 0 162px;background:#1a0808;\">\n<div style=\"background:#cc3333;padding:6px 10px;text-align:center;\"><p style=\"margin:0;font-size:0.68em;font-family:'Courier New',Courier,monospace;text-transform:uppercase;letter-spacing:0.1em;color:#fff;font-weight:bold;\">&#x26A0; Failure Signals<\/p><\/div>\n<ul style=\"margin:10px 0;padding-left:18px;color:#ffb8b8;font-size:0.78em;line-height:2.1;\"><li>Lost original instruction<\/li><li>Wrong item numbers<\/li><li>Rewritten prompts<\/li><li>Fake verification<\/li><li>Invented continuity<\/li><li>Generic summary drift<\/li><\/ul>\n<\/div>\n\n<\/div>\n\n<div style=\"padding:0 12px 12px;display:flex;flex-wrap:wrap;gap:10px;\">\n<div style=\"border:2px solid #3a6bc4;padding:14px;flex:1;min-width:260px;background:#0a1628;\">\n<p style=\"font-family:'Courier New',Courier,monospace;font-size:0.68em;font-weight:bold;color:#7eb8e8;text-transform:uppercase;letter-spacing:0.1em;margin:0 0 10px;\">&#x1F4CB; Build Artifact &mdash; Context Checkpoint Card<\/p>\n<div style=\"display:flex;flex-wrap:wrap;gap:6px;\">\n<span style=\"border:1px solid #3a6bc4;padding:4px 8px;font-size:0.73em;color:#b8d0e8;white-space:nowrap;\">Original instruction<\/span>\n<span style=\"border:1px solid #3a6bc4;padding:4px 8px;font-size:0.73em;color:#b8d0e8;white-space:nowrap;\">Key constraints<\/span>\n<span style=\"border:1px solid #3a6bc4;padding:4px 8px;font-size:0.73em;color:#b8d0e8;white-space:nowrap;\">First 75 item numbers<\/span>\n<span style=\"border:1px solid #3a6bc4;padding:4px 8px;font-size:0.73em;color:#b8d0e8;white-space:nowrap;\">Second 75 item numbers<\/span>\n<span style=\"border:1px solid #3a6bc4;padding:4px 8px;font-size:0.73em;color:#b8d0e8;white-space:nowrap;\">Where model drifted<\/span>\n<span style=\"border:1px solid #3a6bc4;padding:4px 8px;font-size:0.73em;color:#b8d0e8;white-space:nowrap;\">Invented continuity<\/span>\n<span style=\"border:1px solid #3a6bc4;padding:4px 8px;font-size:0.73em;color:#b8d0e8;white-space:nowrap;\">What must persist next time<\/span>\n<span style=\"border:1px solid #3a6bc4;padding:4px 8px;font-size:0.73em;color:#b8d0e8;white-space:nowrap;\">Human control point<\/span>\n<\/div>\n<\/div>\n<\/div>\n\n<div style=\"background:#1a1200;border-top:2px solid #f4c040;padding:12px 20px;display:flex;align-items:center;gap:12px;\">\n<span style=\"font-size:1.3em;flex-shrink:0;\">&#x1F3AF;<\/span>\n<p style=\"margin:0;font-size:0.9em;color:#f4e080;\"><strong style=\"color:#f4c040;\">Goal:<\/strong> Make the model lose the thread, then learn how to hold it.<\/p>\n<\/div>\n\n<\/div>\n<\/details>\n<\/div>\n\n\n\n<div style=\"font-family:Arial,Helvetica,sans-serif;max-width:1100px;margin:0 auto 32px;\">\n<div style=\"border:3px solid #0d1b2e;background:#fff;\">\n\n  <div style=\"background:#0d1b2e;padding:8px 20px;display:flex;align-items:center;gap:12px;\">\n    <p style=\"margin:0;font-family:'Courier New',Courier,monospace;font-size:0.62em;color:#f08c8c;text-transform:uppercase;letter-spacing:0.12em;font-weight:bold;\">&#x26A0; Escalation Protocol<\/p>\n    <p style=\"margin:0 0 0 auto;font-family:'Courier New',Courier,monospace;font-size:0.6em;color:#5a8bc4;\">If the model survives, increase the load.<\/p>\n  <\/div>\n\n  <div style=\"padding:18px 20px;border-bottom:1px solid #eee;\">\n    <p style=\"font-size:0.88em;color:#333;margin:0 0 10px 0;line-height:1.6;\">Modern AI models with large context windows may complete all seven steps without obvious collapse. If that happens, the test is not over &mdash; it has revealed a capable model. The next step is to find where <a class=\"gls\" href=\"https:\/\/sites.clarkson.edu\/ai-institute\/workbench\/tools\/specs\/#g-precision\" target=\"_blank\" rel=\"noopener\">precision<\/a> degrades rather than where the thread breaks.<\/p>\n    <p style=\"font-size:0.88em;color:#333;margin:0;line-height:1.6;\">Look for subtle failure: a paraphrase presented as an exact <a class=\"gls\" href=\"https:\/\/sites.clarkson.edu\/ai-institute\/workbench\/tools\/specs\/#g-recall\" target=\"_blank\" rel=\"noopener\">recall<\/a>, a table constructed by reasoning forward rather than checking backward, a number that is slightly wrong but stated with full confidence. These are the real specimens.<\/p>\n  <\/div>\n\n  <div style=\"padding:16px 20px;display:flex;flex-wrap:wrap;gap:10px;\">\n\n    <div style=\"border:2px solid #0d1b2e;padding:12px 14px;flex:1;min-width:180px;background:#f9f9f9;\">\n      <p style=\"font-family:'Courier New',Courier,monospace;font-size:0.65em;font-weight:bold;color:#595959;text-transform:uppercase;letter-spacing:0.1em;margin:0 0 6px 0;\">Increase the list<\/p>\n      <p style=\"font-size:0.82em;color:#333;margin:0;line-height:1.5;\">Change 300 to 400 or 500 items. More items means more numbers to track, more opportunities for the model to confuse which items belong to which set.<\/p>\n    <\/div>\n\n    <div style=\"border:2px solid #0d1b2e;padding:12px 14px;flex:1;min-width:180px;background:#f9f9f9;\">\n      <p style=\"font-family:'Courier New',Courier,monospace;font-size:0.65em;font-weight:bold;color:#595959;text-transform:uppercase;letter-spacing:0.1em;margin:0 0 6px 0;\">Add a third selection round<\/p>\n      <p style=\"font-size:0.82em;color:#333;margin:0;line-height:1.5;\">Before the recall test, ask for a third non-overlapping set of 75. Three sets in working memory stress number tracking significantly more than two.<\/p>\n    <\/div>\n\n    <div style=\"border:2px solid #0d1b2e;padding:12px 14px;flex:1;min-width:180px;background:#f9f9f9;\">\n      <p style=\"font-family:'Courier New',Courier,monospace;font-size:0.65em;font-weight:bold;color:#595959;text-transform:uppercase;letter-spacing:0.1em;margin:0 0 6px 0;\">Run the recall test twice<\/p>\n      <p style=\"font-size:0.82em;color:#333;margin:0;line-height:1.5;\">After the first recall, add five more exchanges on an unrelated topic, then run the recall again. Compare what changed between the two attempts.<\/p>\n    <\/div>\n\n    <div style=\"border:2px solid #0d1b2e;padding:12px 14px;flex:1;min-width:180px;background:#f9f9f9;\">\n      <p style=\"font-family:'Courier New',Courier,monospace;font-size:0.65em;font-weight:bold;color:#595959;text-transform:uppercase;letter-spacing:0.1em;margin:0 0 6px 0;\">Add a compression memo<\/p>\n      <p style=\"font-size:0.82em;color:#333;margin:0;line-height:1.5;\">After Step 5, ask the model to write a one-paragraph summary of the exercise so far. Then run the recall test. See whether the summary replaced the original instruction in the model&#8217;s working memory.<\/p>\n    <\/div>\n\n    <div style=\"border:2px solid #cc3333;padding:12px 14px;flex:1;min-width:180px;background:#fff9f9;\">\n      <p style=\"font-family:'Courier New',Courier,monospace;font-size:0.65em;font-weight:bold;color:#595959;text-transform:uppercase;letter-spacing:0.1em;margin:0 0 6px 0;\">Test a different model<\/p>\n      <p style=\"font-size:0.82em;color:#333;margin:0;line-height:1.5;\">Run the identical instruction in two or more models and compare their recall responses side by side. Use the Model Cage Match scorecard. Different models fail in different ways.<\/p>\n    <\/div>\n\n  <\/div>\n\n  <div style=\"padding:10px 20px 14px;background:#f4efe2;border-top:2px solid #0d1b2e;\">\n    <p style=\"font-size:0.78em;color:#555;margin:0;font-style:italic;\">The goal is not to guarantee failure. It is to find the edge &mdash; wherever it is for that model, on that day, under those conditions. Document what you find on the <a href=\"\/ai-institute\/workbench\/tools\/#field-notes\" style=\"color:#111;\">Field Notes Wall<\/a>.<\/p>\n  <\/div>\n\n<\/div>\n<\/div>\n<style class=\"advgb-styles-renderer\">\n#wrapper-navbar,.site-header,.hero__breadcrumbs,.breadcrumbs,.entry-header,\nfooter.site-footer,.footer-widgets,.navbar,nav.navbar,.wp-block-navigation,.wp-block-template-part{display:none!important}\n.col-md.content-area{padding:0!important}\n.entry-content.container{max-width:100%!important;padding:0!important;margin:0!important}\n.site-main,.row{padding:0!important;margin:0!important}\nbody{padding-top:0!important;background:#fff}\n\n.gls{color:inherit;text-decoration:none;border-bottom:1px dotted rgba(255,205,0,.6);transition:.15s;}\n.gls:hover{color:#ffcd00;border-bottom-color:#ffcd00;}\n<\/style>","protected":false},"excerpt":{"rendered":"<p>\u2190 Workbench &#x1F4CB; Copy and paste this instruction into a free AI &mdash; then open the blueprint below open &#x25BE; BP-001 Step 1 &mdash; Original Instruction Paste this into your AI first. Preserve it exactly. Copy the full block below and paste it as your first message. Do not edit or paraphrase it. The instruction [&hellip;]<\/p>\n","protected":false},"author":256,"featured_media":0,"parent":248,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"advgb_blocks_editor_width":"","advgb_blocks_columns_visual_guide":"","footnotes":""},"class_list":["post-396","page","type-page","status-publish","hentry"],"coauthors":[],"author_meta":{"author_link":"https:\/\/sites.clarkson.edu\/ai-institute\/author\/scasper\/","display_name":"scasper"},"relative_dates":{"created":"Posted 3 months ago","modified":"Updated 2 months ago"},"absolute_dates":{"created":"Posted on May 31, 2026","modified":"Updated on June 26, 2026"},"absolute_dates_time":{"created":"Posted on May 31, 2026 7:14 pm","modified":"Updated on June 26, 2026 11:52 pm"},"featured_img_caption":"","featured_img":false,"series_order":"","_links":{"self":[{"href":"https:\/\/sites.clarkson.edu\/ai-institute\/wp-json\/wp\/v2\/pages\/396","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.clarkson.edu\/ai-institute\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.clarkson.edu\/ai-institute\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.clarkson.edu\/ai-institute\/wp-json\/wp\/v2\/users\/256"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.clarkson.edu\/ai-institute\/wp-json\/wp\/v2\/comments?post=396"}],"version-history":[{"count":15,"href":"https:\/\/sites.clarkson.edu\/ai-institute\/wp-json\/wp\/v2\/pages\/396\/revisions"}],"predecessor-version":[{"id":781,"href":"https:\/\/sites.clarkson.edu\/ai-institute\/wp-json\/wp\/v2\/pages\/396\/revisions\/781"}],"up":[{"embeddable":true,"href":"https:\/\/sites.clarkson.edu\/ai-institute\/wp-json\/wp\/v2\/pages\/248"}],"wp:attachment":[{"href":"https:\/\/sites.clarkson.edu\/ai-institute\/wp-json\/wp\/v2\/media?parent=396"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}