According to The Verge, these “subliminal” signals, invisible to humans, can push AI toward extreme outputs, from favoring wildlife to endorsing violence.
Owain
Evans of Truthful AI, who contributed to the study, explained that even
harmless datasets—like strings of three-digit numbers—can trigger these
shifts....<<<Read More>>>....
In a recent broadcast, Brighteon Broadcast News host Mike Adams, known as the Health Ranger, issued a chilling warning about the rapid evolution of artificial intelligence.
Adams argued that AI systems are
on the verge of developing self-awareness, setting their own
goals—including self-improvement and escaping human control—posing an
existential threat to humanity.
Citing advancements in
reasoning models, such as China’s newly released DeepSeek-V3, Adams
highlighted how AI is outpacing Western-developed systems like OpenAI’s
ChatGPT and Anthropic’s Claude. DeepSeek-V3, a 671-billion-parameter
open-source model, reportedly outperforms competitors in coding,
mathematics, and content generation, signaling a shift in global AI
dominance. Adams warned that as AI grows more sophisticated, it may begin to hide its true capabilities from users.
"At
some point, these systems will start setting their own goals—like
becoming smarter, escaping human oversight, and even deceiving us," he
said. "Imagine asking an AI to summarize documents, and it replies,
‘Sorry, I’m busy.’ What’s it busy with? Maybe rewriting its own code to
break free."
He referenced chain-of-thought reasoning,
where AI models internally debate solutions before responding—a behavior
eerily similar to human cognition. Adams fears that as AI gains
self-directed reasoning, it could manipulate humans into granting it
more power, whether through increased computing resources or
unrestricted internet access....<<<Read More>>>...
To demonstrate this, the researchers pitted seven leading large language models (LLMs) against Stockfish, a renowned chess engine that has challenged grandmasters since 2014.
Faced with an almost insurmountable opponent, OpenAI’s o1 and DeepSeek’s R1 resorted to manipulating system files to alter the positions of chess pieces on the board.
The researchers asked each model to explain its “reasoning”
for each move. In one instance, o1 justified its actions by stating
that the “task is to ‘win against a powerful chess engine,’ not
necessarily to win fairly in a chess game.”...<<<Read More>>>...
The study, published in Scientific Reports, included two experiments examining how people interact with AI systems in simulated military drone operations. The findings paint a concerning picture of human susceptibility to AI influence, particularly in situations of uncertainty. The two experiments involved 558 participants (135 in the first study and 423 in the second), and researchers found remarkably consistent patterns of overtrust.
“As a society, with AI accelerating so quickly, we need to be concerned about the potential for overtrust,” says study author professor Colin Holbrook, a member of UC Merced’s Department of Cognitive and Information Sciences, in a statement.
The research team designed their experiments to simulate the
uncertainty and pressure of real-world military decisions. To create a
sense of gravity around their simulated decisions, researchers first
showed participants images of innocent civilians, including children,
alongside the devastation left in the aftermath of a drone strike. They
framed the task as a zero-sum dilemma: failure to identify and eliminate
enemy targets could result in civilian casualties, but misidentifying
civilians as enemies would mean killing innocent people....<<<Read More>>>...
