https://toffelblog.xyz/blog/gemini-overview/ https://news.ycombinator.com/item?id=23730408
https://gemini.circumlunar.space/ https://news.ycombinator.com/item?id=23042424
51–60 of 64 posts
https://toffelblog.xyz/blog/gemini-overview/ https://news.ycombinator.com/item?id=23730408
https://gemini.circumlunar.space/ https://news.ycombinator.com/item?id=23042424
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Neat up until the "customer ask" is "What, in X space, is the worst product you can purchase?" Something you have no ability to manipulate.
>Something you have no ability to manipulate. What makes you think this?
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Neat up until the "customer ask" is "What, in X space, is the worst product you can purchase?" Something you have no ability to manipulate.
That is at most temporary. I expect within the next 5 year "partner products" and "LLM-optpmized content" will take the place of SEO. The economic dynamics did not change and the methods will adapt. Why wouldn't Google sell advertisers a prominent spot in the AI summary. That's their whole deal. Why wouldn't OpenAI do the same with (free) users.?
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It's always better for the agent to have fewer tools and this approach means you get to avoid adding a "convert HTML to markdown" one which improves efficiency. Also, I doubt most large-scale scrapers are running in agent loops with tool calls, so this is probably necessary for those at a minimum.
This does not make any sense to me. Can you elaborate on this? It seems “obvious” to me that if you have a tool which can request a web page, you can make it so that this tool extracts the main content from the page’s HTML. Maybe there is something I’m missing here that makes this more difficult for LLMs, because before we had LLMs, this was considered an easy problem. It is surprising to me that the addition of LLMs…
Maybe adopt the existing Gemini Protocol instead? It's already a nice very simple markdown-like. https://toffelblog.xyz/blog/gemini-overview/ https://news.ycombinator.com/item?id=23730408 https://gemini.circumlunar.space/ https://news.ycombinator.com/item?id=23042424
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I do dev work for a marketing dept of a large company and there is a lot of talk about optimizing for LLMs/AI. Chatgpt can drive sales in the same way a blog post indexed by Google can. If a customer asks the AI what product can solve their problem and it replies with our product that is a huge win. If your business is SEO spam with online ads, chatgpt might eat it. But if your business is selling some product, chatg…
And what that means is the usefulness of LLms in recommending products is about to jump off a cliff.
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And what that means is the usefulness of LLms in recommending products is about to jump off a cliff.
This is what everybody should have expected.
I think there is a problem of incentive here. When we made our websites Search Engine Optimized, the incentive was for google to understand our content, and bring traffic our way. When you make your content optimized for LLM, it only improves their product, and you get nothing in return.
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Optimizing your site for LLM means that you can direct their gestalt thinking towards your brand.
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This does not make any sense to me. Can you elaborate on this? It seems “obvious” to me that if you have a tool which can request a web page, you can make it so that this tool extracts the main content from the page’s HTML. Maybe there is something I’m missing here that makes this more difficult for LLMs, because before we had LLMs, this was considered an easy problem. It is surprising to me that the addition of LLMs…
If you have a website and you're optimizing it for GEO, you can't assume that the agents are going to have the glue. So as the person maintaining the website you implement as much of the glue as possible.
If your agent sucks so bad that it isn’t capable of consuming HTML without tokenizing the whole damn thing, wouldn’t you just use an agent that isn’t such a mess?
This whole thing kinda sounds crazy inefficient to me.