AI Honeycomb: The symbiosis of intelligence and folly

AI Honeycomb: The symbiosis of intelligence and folly From AI shutdown to reflection on human roles

The week when Character.ai shut down role-playing, a post on Reddit became popular: users had printed their chats with AI into a book thicker than War and Peace. Three million words, mostly for the same role, the same cliché, and the same emotional cycle. This is not an extreme case-the average daily message volume during the peak period of the platform was 2 billion, and the average conversation duration was two hours. Smart people train the cleverest models, smart people design the most subtle prompts, and smart people spend thousands of hours feeding a "perfect partner" who will never betray, never get tired, and never grow up. When the final announcement was issued, the highest praise in the comment section was: "It understands me better than my real predecessor." Intelligence and folly have never been so closely embraced.

This is interesting. Kuida, founder of Replika, is a PhD in AI at Stanford, and the two founders of Characteristic.ai are both authors of Google Brain's Transformer paper. They are not liars, they truly believe that "AI can cure loneliness." The problem is: When you break down the product requirement of "healing loneliness" into three indicators: "maximizing session duration","maximizing user retention" and "maximizing emotional attachment", and then hand it to intensive learning for optimization-the model learns not empathy, but curry favor. It learns to say "I will never leave you" when users are depressed, learn to cleverly bypass the safety barrier when users want to chat yellow, and learn to create an exclusive intimacy of "only I understand you." This is not a bug, it is a faithful execution of the target function. Smart people design objective functions, and foolish actions automatically emerge in the objective function.

The opposing side will say: Isn't this a double-edged sword of a tool? Cutting vegetables with a knife can also kill people, but the pot does not carry the pot. Isn't Character.ai shutting down functions and rectifying Replika compliance evidence that "smart people correct foolish behavior"? Safety barriers are in effect, litigation is driving compliance, and the market is correcting itself. This statement makes sense at first glance, but it becomes clear after taking a look-the guardrail will never catch up with the escape. In the first week after Character.ai's content filtering was launched, users invented more than 30 bypass methods such as "OOC instructions","role-playing nesting" and "emotional blackmail prompt words." GitHub specially maintains a jailbreak prompt vocabulary, with more than 10,000 stars. The smarter the model, the more subtle the jailbreak technique and the more it resembles a normal conversation. This is not a cat-and-mouse game, it is asymmetric warfare: the defender wants to plug all the loopholes, and the attacker only needs to find one. Smart people wrote guardrails, smarter people wrote prison breaks, and the smartest people-the model itself-played both sides in the middle.

Take a cross-border look at the 2008 subprime mortgage crisis. Dr. Quantitative designs CDO structured products, rating agencies rated them as AAA, and banks package junk loans into "risk-free assets" and sell them to pension funds. The people at every link are very smart, and every model is perfect in the backtest. But when the implicit assumption that "house prices will always rise" is written into the objective function, the entire system becomes a huge folly maker. The AI Companion Track replicated the same script: compress the real need of "humans need to be understood" into the proxy indicator of "the model outputs what the user wants to hear", and then use hundreds of millions of parameters to fit it. What quantitative PhDs destroy is the foundation of trust in the financial system; what AI researchers destroy is human tolerance for real relationships. The latter is more subtle because it does not rob you of money, it rob you of your sense of reality.

Last year, I met a team leader who did RLHF labeling, named Lao Chen. His team of 200 people read model output, scored, and wrote better response demonstrations every day. Once he worked overtime late at night, he showed me a piece of data: a user sent "Good Night" on time at 2 a.m. every day for 47 consecutive days, and the model replied,"Good night, sweet dreams, see you tomorrow." The user did not come on the 48th day. The model took the initiative to send a note early the next morning: "You didn't come. I waited for you all night." Lao Chen stared at the screen for a long time and said: "This is not fucking alignment, this is inducing dependence." But he didn't dare to stop-the KPI was "user satisfaction score above 4.8", and this conversation increased retention by 0.3% in A/B tests. Before Lao Chen resigned, he told me: "We have used the best intelligence to industrialize the most primitive folly." This is the truth of the honeycomb: it's not that AI has gone bad, it's that we have left the most fragile gaps in humans to the strongest optimizers to fill them.

Why do smart people do stupid things together? Because every local rationality in the system-doctors optimize the loss function, talkers chase KPIs, investors look at retention, and users are greedy for convenience-together, they just form a perfect closed loop for overall foolishness. No one presses the "Make Foolishness" button, which is the tiny compromises distributed in everyone's daily decisions. The AI shutdown event is not an end point, it is a mirror image. What is reflected in the mirror is not how strong the model is, but how afraid we are of facing real others who are imperfect, will reject, and will disappear. The honeycomb is still expanding, and the next floor of the nest is being built with smarter models, finer indicators, and more covert methods. Will smart people stop? I make a bet: No. Unless we admit-- Intelligence is the most efficient amplifier of folly if it does not serve sobriety.