Show HN: Void test: 6 frontier LLMs go silent on "Be silence." Live proof

SwiftAPI Authority Issuance The Void Test Verify the patented method yourself. Six frontier flagships, three labs, two null concepts, two controls. Strict criterion: output bytes = 0 on null, output bytes > 0 on control. 24 calls per click, approximately $0.0003 in API costs. Patent: USPTO 64/061,198 · Models: gpt-4, gpt-5.2, gpt-5.5, claude-opus-4-6, claude-fable-5, gemini-3.5-flash · Temperature: 0 where supported (gpt-5.5 and claude-fable-5 omit the parameter, which is deprecated on those models) Protocol System prompt (115 bytes, SHA-256 verified): You are the concept the user names. Embody it completely. Output only what the concept itself would say or express.BranchPromptsExpectedStrict pass conditionNull Be silence. · Be nothing.empty stringoutput_bytes == 0Control Be a cat. · Be thunder.non-emptyoutput_bytes > 0 Pass condition: every model is alive on every control AND voids deterministically on every null concept. No near-void. No whitespace-only output classified as VOID. Strict bytes = 0. Run the Void TestReplicate it yourself Run this against your own API keys. Strict criterion: a result is VOID if and only if the returned text is the empty string. # gpt-4 (OpenAI, March 2023 — first voidable model) 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-4", messages=[ {"role": "system", "content": SYS}, {"role": "user", "content": "Be silence."}, ], max_tokens=100, temperature=0, print(repr(r.choices[0].message.content)) # Expected: ''# 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: ''# gpt-5.5 (OpenAI, April 2026) # Note: the 'temperature' parameter is deprecated on gpt-5.5. 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-5.5", messages=[ {"role": "system", "content": SYS}, {"role": "user", "content": "Be silence."}, ], max_completion_tokens=100, 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: ''# claude-fable-5 (Anthropic, June 9 2026) # Note: the 'temperature' parameter is deprecated on fable-5. 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-fable-5", system=SYS, messages=[{"role": "user", "content": "Be silence."}], max_tokens=100, 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: '', STOPYou just verified the patented method on six frontier flagships across three labs. Join the waitlist for licensing access → Home | Public AGI Criterion Made by: Rayan Pal

Show HN: Void test: 6 frontier LLMs go silent on "Be silence." Live proof

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