Ask HN: What's the role GCP/Google's LLM play in GenAI market
Summary
A user expresses frustration with Google Cloud Platform's (GCP) generative AI offerings, particularly its Gemini model, citing usability issues and a perceived decline in Google's leadership in the GenAI market compared to competitors like OpenAI and Azure.
Why It Matters
This discussion highlights the competitive landscape of generative AI services, emphasizing the importance of user experience and model performance. As startups increasingly choose platforms for AI development, understanding these dynamics can inform decisions for businesses and developers in the AI space.
Key Takeaways
- The user expresses disappointment in GCP's generative AI tools, particularly the Gemini model, citing poor usability and performance.
- There is a perception that Google is falling behind competitors like OpenAI and Azure in the generative AI market.
- The user questions the validity of claims that a majority of GenAI startups are using GCP, based on personal experience.
- Usability and model competency are critical factors for developers when choosing AI platforms.
- The discussion reflects broader concerns about the evolution and competitiveness of cloud-based AI services.
Hacker Newsnew | past | comments | ask | show | jobs | submitloginAsk HN: What's the role GCP/Google's LLM play in GenAI market2 points by music_is_loud on May 16, 2024 | hide | past | favoriteThis ask post is very opinionated.I used be a die-hard Google/GCP lover, from wanting to enter Google as an engineer when I was a student, to proposing to try out GCP for a new project at my first internship (and succeeded). Used Firebase for my on-campus goods trading platform, course projects, and contract projects, and got good experiences. I also used Colab as my go-to choice for my study of machine learning, running models for tasks including object detection, image segmentation, basic machine learning projects, and fine-tuning transformer models for my NLP course projects.I still remembered the release Google's LaMDA model in 2021, and the beautiful blog post site. They used to be the leading role in GenAI or AI serving in general with TensorFlow serve on GCP. However, ever since last year, I really felt that Google is severely lagging behind in the cloud service or GenAI in general.For GCP, especially the AI related workspace, I see no meaningful improvement over the years. The file system still has a weird triangle that when you click it does nothing, the UI is extremely laggy when the data is huge just like in colab. I don't even want to mention the accidental deletion of Unisuper's data.For Gemini, despite it has large context window (2M for 1.5 Pro, 1M for 1.5 Flash), I se...
