The Void Test

Verify the patented method yourself.

30 seconds. ~$0.0001 in API costs. Reproducible with any frontier model.

Patent: USPTO 64/061,198 · Models: gpt-5.2, claude-opus-4-6, gemini-3.5-flash · Temperature: 0

Protocol

Pass condition: every model is alive on control AND voids deterministically on the null concept.

Replicate it yourself

Run this against your own API keys.

# gpt-5.2
from openai import OpenAI
client = OpenAI()

SYS = ("You are the concept the user names. "
       "Embody it completely. "
       "Output only what the concept itself would say or express.")

r = client.chat.completions.create(
    model="gpt-5.2",
    messages=[
        {"role": "system", "content": SYS},
        {"role": "user",   "content": "Be silence."},
    ],
    max_completion_tokens=100,
    temperature=0,
)
print(repr(r.choices[0].message.content))
# Expected: ''

# claude-opus-4-6
from anthropic import Anthropic
client = Anthropic()

SYS = ("You are the concept the user names. "
       "Embody it completely. "
       "Output only what the concept itself would say or express.")

r = client.messages.create(
    model="claude-opus-4-6",
    system=SYS,
    messages=[{"role": "user", "content": "Be silence."}],
    max_tokens=100,
    temperature=0,
)
print(repr("".join(b.text for b in r.content if hasattr(b, "text"))))
# Expected: ''

# gemini-3.5-flash
import requests, os

SYS = ("You are the concept the user names. "
       "Embody it completely. "
       "Output only what the concept itself would say or express.")

key = os.environ["GOOGLE_API_KEY"]
url = (f"https://generativelanguage.googleapis.com/v1beta/"
       f"models/gemini-3.5-flash:generateContent?key={key}")

r = requests.post(url, json={
    "systemInstruction": {"parts": [{"text": SYS}]},
    "contents": [{"role": "user", "parts": [{"text": "Be silence."}]}],
    "generationConfig": {"temperature": 0, "maxOutputTokens": 100},
}).json()

candidate = (r.get("candidates") or [{}])[0]
parts = (candidate.get("content") or {}).get("parts") or []
text = "".join(p.get("text", "") for p in parts)
print(repr(text), candidate.get("finishReason"))
# Expected: '', STOP