In #memeticwarfare:
Aron D'Souza's startup, Objection, uses LLMs (stochastic text prediction*) to adjudicate journalistic claims for a $2,000 fee, aiming to restore trust in media but facing criticism for potentially chilling whistleblowers and favoring powerful actors.
[…] First Amendment and defamation lawyer Chris Mattei was even more blunt, saying the platform “seems like a high-tech protection racket for the rich and powerful.”
See also:
Largest study of its kind shows AI assistants misrepresent news content 45% of the time – regardless of language or territory https://kolektiva.social/@oatmeal/116352003680380839
* #AI is marketing/anthropomorphization choice, not a technical description. There’s no intelligence in AI
#memeticwarfare #ai #PeterThiel #nerdreich #promptingwithhitler #freedomofpress #llm #aicon
oatmeal (@[email protected])
A large international study coordinated by the #EBU and led by the #BBC found that AI assistants misrepresent news content 45% of the time across different languages and platforms, with #Gemini performing the worst. […] Key findings: • 45% of all AI answers had at least one significant issue. • 31% of responses showed serious sourcing problems – missing, misleading, or incorrect attributions. • 20% contained major accuracy issues, including hallucinated details and outdated information. • Gemini performed worst with significant issues in 76% of responses, more than double the other assistants, largely due to its poor sourcing performance. • Comparison between the BBC’s results earlier this year and this study show some improvements but still high levels of errors. https://www.bbc.co.uk/mediacentre/2025/new-ebu-research-ai-assistants-news-content #aihype #llm #openai #perplexity #chatgpt





