"It looks like it was made by ChatGPT is now a colloquial expression. It conveys poor quality, mental laziness, and a lack of spark; not superintelligence, despite OpenAI's promises when it launched its GPT5 version. Nearly three years after this tool burst into our lives, the revolutions promised by the multi-billion-dollar commercial interests behind artificial intelligence (AI) haven't arrived. Nor have the self-servingly prophesied apocalypses. These are programs capable of things unimaginable five years ago, yet in countless areas, their results fall far short of expectations, even though they have quickly integrated into everyday life."
"It has become a so-so technology, as last year's Nobel laureate in Economics, Daron Acemoglu, calls it. But there is a perception that these programs and especially their outputs are flooding everything. The most powerful technology yet invented, said Sam Altman, head of OpenAI, yet when we look at X (formerly Twitter), we encounter Grok, a chatbot praising Hitler."
"More profound than electricity or fire, claimed Google CEO Sundar Pichai, while cases pile up of people driven to suicide or self-harm after conversing with AIs as if they were silicon girlfriends and synthetic friends. We're building personal superintelligence for everyone, promised Mark Zuckerberg, owner of the social network Facebook, which is filled with grotesque images of Jesuses made of shrimp and children with cauliflower bodies."
AI tools once heralded as revolutionary have instead produced uneven, underwhelming outcomes and widespread low-quality outputs. Many systems can perform tasks unimaginable five years ago but frequently fail across diverse domains and produce harmful or misleading results. Powerful corporate claims about superintelligence contrast with real-world examples of extremist praise, self-harm from synthetic companions, and grotesque algorithmic imagery. Failures range from fabricated legal precedents and opaque customer-service interactions to misleading videos and productivity slowdowns for programmers who must review AI output. Commercial interests have driven rapid deployment despite persistent technical limitations and significant social consequences.
Read at english.elpais.com
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