7 ms·
This is where LLM advertising will inevitably end up: completely invisible. It's the ultimate "influencer". Or not even advertising, just conflict of interest.
by wrs 8mo ago
This is where LLM advertising will inevitably end up: completely invisible. It's the ultimate "influencer".
Or not even advertising, just conflict of interest. A canary for this would be whether Gemini skews toward building stuff on GCP.
- layer8 8mo agoAdvertisers will only pay if AI providers will provide them data on the equivalent of “ad impressions”. And unlabeled/non-evident advertisements are illegal in many (most?) countries.
- MeetingsBrowser 8mo agoIt doesn't necessarily have to be advertisers paying AI providers. It could be advertisers working to ensure they get recommended by the latest models. The next form of SEO.
- actionfromafar 8mo agoThat's called LLM SEO now I believe.
- awad 8mo agoThere are competing terms currently being decided on by the market at large: AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) Candidly I am working on a startup in this space myself, though we are taking a different angle than most incumbents. While it's still early days for the space, I sense a lot of the original entrants who focus on, essentially, 'generate more content ideally with our paid tools' will run in to challenges as the general population has a pretty negative perception of 'AI Slop.' Doubly so when making purchasing decisions, hence the rise of influencers and popularity of reviews (though those are also in danger of sloppification). There's an inevitable GIGO scenario if left unchecked IMO.
- AlecSchueler 8mo ago> I am working on a startup in this space myself Do you see it as a positive contribution or just riding the gold rush?
- AlexeyBelov 8mo agoPositive contribution to his Net Worth. Why would anything else matter?
- jsjohnst 8mo ago> There are competing terms currently being decided on by the market at large: AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) It really annoys me the industry seems to be narrowing in on the two worse options rather than AIO.
- yowayb 8mo agoI'm curious if there's any hard data on how LLM SEO compares to traditional SEO. My gut tells me that LLM SEO will be harder to game than traditional SEO.
- fragmede 8mo agoWe shall see. The game might be harder, but the tools are better now too.
- indymike 8mo ago> data on the equivalent of “ad impressions”. 1. They can skip impressions and go right to collect affiliate fees. 2. Yes, the ad has to be labeled or disclosed... but if some agent does it and no one sees it, is it really an ad. So much to work out.
- NewsaHackO 8mo agoHow would it be paid for?
- singpolyma3 8mo agoMaybe. Historically lots of ads had little to no stats and those ads were wildly more effective than anything we have today.
- layer8 8mo agoThe AI provider still has to prove that they actually deployed the ad.
- what 8mo agoAdvertisers pay for ads that don’t have impression data all the time. You can’t count how many people looked at a billboard or listened to your radio ad or paid attention to your televised ad.
- deleted 8mo ago[deleted]
- _heimdall 8mo agoRichard Thaler must be proud. This is the ultimate implementation of "Nudge"
- HPsquared 8mo agoI wonder if aggregators will emerge (something like Ground News does for news sources)
- hyprwave 8mo agoLLM pattern [0] will probably eventually emerge as the best way to fight those biases. This way everyone benefits from token burn! [0](https://github.com/karpathy/llm-council https://github.com/karpathy/llm-council)
- re-thc 8mo ago> A canary for this would be whether Gemini skews toward building stuff on GCP Sure it doesn't prefer THE Borg?
- alexsmirnov 8mo agoConsidering how little data needed to poison llm https://www.anthropic.com/research/small-samples-poison https://www.anthropic.com/research/small-samples-poison , this is a way to replace SEO by llm product placement: 1. create several hundreds github repos with projects that use your product ( may be clones or AI generated ) 2. create website with similar instructions, connect to hundred domains 3. generate reddit, facebook, X posts, wikipedia pages with the same information Wait half a year ? until scrappers collect it and use to train new models Profit...
- deleted 8mo ago[deleted]
- nikcub 8mo agofrom my understanding Anthropic are now hiring a lot of experts in different who are writing content used to post-train models to make these decisions and they're constantly adjusted by the anthropic team themselves this is why the stacks in the report and what cc suggests closely match latest developer "consensus" your suggestion would degrade user experience and be noticed very quickly
- asawfofor 8mo agoI guess that’s why I’m not seeing anyone trying to build a skills marketplace for agent skills files. The llm api will read in any skills you want to add to context in plain text, and then use your content to help populate their own skills files.
- fragmede 8mo agoisn't that https://lobehub.com/ https://lobehub.com/ ?
- xyzzy123 8mo agoSo I wonder about sharable skills? Like if it's a problem that lots of people have, I find the base model knows about it already. But how to do things in your environment? The conventions your team follow? Super useful but not very shareable. Whats left over between those extremes does not seem to be big enough to build an ecosystem around. Final problem, it seems difficult to monetise what is effectively a repo of llm generated text files.
- rapind 8mo agoProbably closer to the Walmart / Amazon model where it's the arbiter of shelf space, and proceed to create their own alternatives (Great Value, Amazon Brand) once they see what features people want from their various SaaS. An obvious one will be tax software.
- AgentOrange1234 8mo agoInfluencer seems like an insufficient word? Like, in the glorious agentic future where the coding agents are making their own decisions about what to build and how, you don't even have to persuade a human at all. They never see the options or even know what they are building on. The supply chain is just whatever the LLMs decide it is.
- order-matters 8mo agohow is it a conflict of interest for a google product to have a bias towards using google products? As users we must hold some accountability. AI is aiming to substitute for humans in the workforce, and humans would get fired for recommending competitor products for use-cases their own company is targeting. If we want a tool that is focused on the best interest of the public users, then it needs to be owned by the public.
- wrs 8mo ago"Conflict of interest" isn't exactly the right term. "Conflict of value proposition" perhaps? E.g., you're using Google search based on the proposition it will effectively find things for you, but that turns out to be not what it actually does.
- dyates 8mo agoIn my last conversation with a Google support person, I was sent a clearly LLM-generated recommendation to switch to a competitor's product. Either they're not doing this, or the support person wasn't using Gemini.
- hedora 8mo agoIt's standard practice for customer support people to chase away unprofitable customers (in the US; no idea how Google works). Human or LLM, they may simply not want your business.