Hello? Are you a machine or a person?
- SysColleague
- May 22
- 2 min read
Artificial intelligence has become so advanced that it can communicate in a way that feels natural, making it hard for people to tell if they are talking to a machine or a human.
Recently, researchers at the University of California claim to have confirmed that AI models like GPT-4.5 and LLaMa-3.1-405B can successfully pass a Turing test.
In this test, a human interacts with both a person and a machine through written conversation.
The goal is to identify which one is the human.
If the machine convinces the human that it is a person, it is considered to have passed the test.
With better conversational interfaces, AI systems can now respond smoothly and naturally.
Also, autonomous AI agents can make decisions on their own, without human input, allowing them to operate independently.
But the most impressive advancement is inferential AI, which doesn’t just follow patterns—it can reason and understand context with great accuracy.
While these innovations bring big benefits, they also create cybersecurity challenges that need urgent attention.
Transparency in digital interactions – Businesses must ensure users know when they are talking to an AI to prevent confusion or deception.
Regulations and laws – AI’s growth requires new rules to prevent fraud and misinformation.
Advanced cybersecurity – AI can be misused by cybercriminals, so companies must strengthen defenses against hacking and identity theft.
Artificial intelligence is changing digital security, and online business leaders must adjust to this new reality.
Source: Marcos de agentes de IA: elegir la base adecuada para su negocio | Agentes-de-inteligencia-artificial-y-workflows-agenticos.pdf | Agentes de AI: ¿qué son?, casos de uso y ventajas | La IA ya es capaz de superar el mítico test de Turing: por qué eso no significa lo que siempre habíamos creído
