The article also highlights the challenges Google faces in balancing the need for speed in AI development with the need to please users. The backlash against Gemini was seen as inevitable given Google's initial hesitation to release its sophisticated large language models (LLMs) due to potential backlash over inappropriate output. The article concludes by noting that while all LLM companies face issues with hallucinations, Google, as a major incumbent, faces higher expectations to please everyone with its LLM outputs, a task deemed impossible.
Key takeaways:
- Google's Gemini AI model has been criticized for outputting ahistorical and inaccurate images, leading to a backlash on social media.
- Despite initial positive response, Google's AI strategy has been questioned due to the potential for inappropriate LLM output, as seen with previous models like LaMDA.
- Smaller companies like OpenAI and Anthropic do not carry the same baggage as Google in the AI space, and are seen as more willing to take risks for growth.
- Google is facing challenges in balancing the need for speed in AI development with the need to please users and avoid damaging its brand.