Google “We have no moat, and neither does OpenAI”
semianalysis.com
Google “We have no moat, and neither does OpenAI”
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Re: Google “We have no moat, and neither does OpenAI”
#2Re: Google “We have no moat, and neither does OpenAI”
#3It's a little bit difficult to get what you want out of the models, but I find them very useful! And while the output resolution might be quite low, things are improving & AI upscaling also helps a lot.
Re: Google “We have no moat, and neither does OpenAI”
#4Re: Google “We have no moat, and neither does OpenAI”
#5Re: Google “We have no moat, and neither does OpenAI”
#6I've been using Stable Diffusion to generate cover images for the music I release & produce for others. It's a massive time saver compared to comping together the release art using image editing software, and a lot cheaper than working with artists, which just doesn't make sense financially as an independent musician. It's a little bit difficult to get what you want out of the models, but I find them very useful! And…
Re: Google “We have no moat, and neither does OpenAI”
#7Cringe, haven’t seen a single Open Source come even close to the ability of Bard, let alone ChatGPT. Seems like wishful thinking to think decentralized open source can beat centralized models that cost 100M+ to train!
Re: Google “We have no moat, and neither does OpenAI”
#8Re: Google “We have no moat, and neither does OpenAI”
#9Furthermore, models which fine-tune LLMs are still dependent on the base model's quality. Having a much higher quality base model is still a competitive advantage in scenarios where generalizability is an important aspect of the use case.
Thus far, Google has failed to integrate LLMs into their products in a way that adds value. But they do have advantages which could be used to gain a competitive lead: - Their crawling infrastructure could allow their to generate better training datasets, and update models more quickly. - Their TPU hardware could allow them to train and fine-tune models more quickly. - Their excellent research divisions could give them a head start with novel architectures.
If Google utilizes those advantages, they could develop a moat in the future. OpenAI has access to great researchers, and good crawl data through Bing, but it seems plausible to me that 2 or 3 companies in this space could develop sizeable moats which smaller competitors can't overcome.