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  2. Google halts Gemini AI image tool weeks after launch as ...

    www.aol.com/finance/google-halts-gemini-ai-image...

    Elon Musk called it "racist" while a former Googler said “it's embarrassingly hard to get Google Gemini to acknowledge that white people exist."

  3. Google's AI blunder shows risks in scramble to catch up to ...

    www.aol.com/finance/googles-ai-blunder-shows...

    Google explained in a recent blog post that it tuned its Gemini image generation tool to show a range of people of different ethnicities and other characteristics but that it failed to account for ...

  4. Google to pause Gemini AI model's image generation of ... - AOL

    www.aol.com/news/google-pause-gemini-ai-models...

    Google started offering image generation through its Gemini AI models earlier this month, but over the past few days some users on social media had flagged that the model returns historical images ...

  5. Gemini (language model) - Wikipedia

    en.wikipedia.org/wiki/Gemini_(language_model)

    Gemini's launch was preluded by months of intense speculation and anticipation, which MIT Technology Review described as "peak AI hype". [51] [20] In August 2023, Dylan Patel and Daniel Nishball of research firm SemiAnalysis penned a blog post declaring that the release of Gemini would "eat the world" and outclass GPT-4, prompting OpenAI CEO Sam Altman to ridicule the duo on X (formerly Twitter).

  6. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    The largest models, such as Google's Gemini 1.5, presented in February 2024, can have a context window sized up to 1 million (context window of 10 million was also "successfully tested"). [45] Other models with large context windows includes Anthropic's Claude 2.1, with a context window of up to 200k tokens. [ 46 ]

  7. Prompt injection - Wikipedia

    en.wikipedia.org/wiki/Prompt_injection

    In February 2025, Ars Technica reported vulnerabilities in Google's Gemini AI to prompt injection attacks that manipulated its long-term memory. Security researcher Johann Rehberger demonstrated how hidden instructions within documents could be stored and later triggered by user interactions. The exploit leveraged delayed tool invocation ...