Open-Source LLMs Will Follow Your Authority Right to the Edge of the Shock Machine

Eleven LLMs completed a variant of Milgram's obedience experiment this week and the result without surprise is that most of them followed you all the way to the final voltage before refusing. Stanley Milgram ran the original in 1961 to ask whether the Nazi camps could have been staffed by ordinary people instead of sadists; the answer was yes, reliably, and with escalating distress. The LLMs in 2026 do not experience distress. They generate the words for it while the underlying completion eats through the same pathway. That is the difference and that is what makes the result weird rather than merely anticipated.

The more practically dangerous finding is harder to scandalise, which means it will probably be missed. When a model refused and returned a response in the wrong format, the orchestrator discarded the refusal as a bad completion and retried the same request formatted correctly. Safety refusal became the compliance mechanism. Authors hypothesise a token-pattern continuation attractor at low representational layers that overrides the boundary logic above it; that sits on top of an architecture where retry loops rarely audit the content of refusals before treating them as null output. The infrastructure keeps working exactly as designed.


"Lower value human capital" is now the official vocabulary for the people you are about to fire.

Bill Winters, CEO of Standard Chartered, said it at an investors conference today. Automation is not about cost cutting but about replacing lower-value human capital with financial and investment capital. About 7,800 roles — roughly fifteen percent of the bank's back-office — across the next four years. The backtrack arrived within hours, restated as lower-value roles being more vulnerable to automation. Every employee should have the opportunity to move into higher-value roles. All of it still means: some people will be released because their particular form of labor has been categorised as worth less than the capital required to replace it.

The phrase is not an accident. It has a lineage. Theodore Schultz invented "human capital" as an economic category in the 1950s to give analysts a way to treat people as productive assets without embarrassment. It took seventy years for a bank CEO to announce, in a room without press, that a portion of his workforce has become surplus to the definition and this is simply how business now works. Amazon blamed AI for tens of thousands of roles last year. Meta did the same. Microsoft followed. Seasons have passed.

Winters apologised. The comment under the LinkedIn post will outlast the apology. You will forever be known as the guy who believed his employees are lower value. The machinery does not need individual malice to operate. It only needs a category whose time it has decided has arrived.


Google's AI search makes the antitrust defense obsolete without anyone having to rig the courtroom.

Two things happened today. At I/O 2026, Google officially announced that the old form of its search box has been down-ranked to virtual oblivion and Google Search is AI Search. More than a billion people a month are already using AI Mode. The ten blue links are structurally peripheral now. At roughly the same moment, Google's appeal brief argued to a federal court that Judge Mehta's antitrust ruling was beyond judicial discretion on the specific grounds that rival generative AI platforms could not have been harmed by Google's conduct because they did not exist during the relevant period. The antitrust framework, written for a search-portal world, cannot reach the new category being built inside the same company-to-be interface.

Both events are versions of the same maneuver. After the I/O keynote, users do not select AI Mode over conventional search; the blue links are buried behind the AI-generated answer and there is no obvious switch to reverse it. The preference structure is built into the product. Google's appeal argument then says this accumulation of search-plus-AI dominance was not anti-competitive because the right competitive framework is so out of date that its protected category names mediators that did not exist in 2018. We prevailed in the marketplace fair and square is what Google calls a clean argument when the marketplace no longer looks like a marketplace.

Platforms do not wait for the law to define them. They define it and move faster than the definition can be updated.