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Meta is going hard into AI (both hardware and software), which is great to see. Something that's not super obvious is what specific features of existing apps re

by nomilk 2y ago

Meta is going hard into AI (both hardware and software), which is great to see. Something that's not super obvious is what specific features of existing apps require AI, that is, how will Meta get return on investment? Two uses I can think of are i) text and image content moderation on fb and instagram (won't need as many human reviewers if bots are as/more effective), and ii) chatbots for businesses (businesses could provide their business documentation to a meta LLM which could handle customer inquiries via messenger and whatsapp). Anything else?

xyzzy4747 2y ago
They could make customer facing support bots for every business with a Facebook page
ldjkfkdsjnv 2y ago
Their whole advertising business model gets better with LLM understanding of text. They can target ads better.
- Mehdi2277 2y ago
  This is fair guess on intuition but working in recommender space on both content/ad recommendation, content understanding signals have pretty consistently across two companies and many projects tended to underwhelm and key signals are generally engagement signals (including event sequences) and many embeddings (user embedding, creator embedding, ad embedding, etc). The main place I’ve seen content understanding help is coldstart specially for new items by new creators.
  - xwolfi 2y ago
    And you wonder sometimes if the products being advertised, themselves, couldn't matter more than the targets reading them. We've learned to recognize crappy offering and AI can try to make me read more and more ads relevant to what I'm saying, if it's a crap product, I won't pay anyway :(
candiddevmike 2y ago
Fake profiles to boost engagement/DAU? Grandma is lonely on FB now that no one is on there anymore.
- aprilthird2021 2y ago
  This isn't it. Actually FB, the app specifically, is having an unexpected uptick in users in the younger demographics, partly from their strategy of using FB marketplace and other ancillary services to bring people back to the main app. EDIT: Also, it's very easy to creat fake profiles on FB, and other people do it all the time. Meta don't need to do it themselves
aprilthird2021 2y ago
Meta actually has a whole separate, existing AI research and use case for targeting ads that has seen much better results as their AI capabilities have improved. I don't think gen AI is used for this in the way most commenters think, but the improvements in AI architecture / infra, training, etc. are all helpful to the AI which helps ad targeting while simultaneously building more powerful Gen AI
mistermann 2y ago
Generative environments on demand for their VR goggles seems like something that could drive net new revenue some day, both hardware and subscriptions. If they can find a PR safe way to provide adult content that would be even better. Or, virtual conversational humans for their boomer userbase could be a hit.
dudus 2y ago
Meta is building and scaling the infrastructure for AI and then they can resell that at a premium later. All these articles do is highlight the challenges of rolling out your own infra, if Meta solves these issues it becomes a reference and get a bigger piece of the AI pie. They want to become the AI backend for the Fortune 500

by nomilk 2y ago

xyzzy4747 2y ago

They could make customer facing support bots for every business with a Facebook page

ldjkfkdsjnv 2y ago

Their whole advertising business model gets better with LLM understanding of text. They can target ads better.

Mehdi2277 2y ago
This is fair guess on intuition but working in recommender space on both content/ad recommendation, content understanding signals have pretty consistently across two companies and many projects tended to underwhelm and key signals are generally engagement signals (including event sequences) and many embeddings (user embedding, creator embedding, ad embedding, etc). The main place I’ve seen content understanding help is coldstart specially for new items by new creators.
- xwolfi 2y ago
  And you wonder sometimes if the products being advertised, themselves, couldn't matter more than the targets reading them. We've learned to recognize crappy offering and AI can try to make me read more and more ads relevant to what I'm saying, if it's a crap product, I won't pay anyway :(

candiddevmike 2y ago

Fake profiles to boost engagement/DAU? Grandma is lonely on FB now that no one is on there anymore.

aprilthird2021 2y ago
This isn't it. Actually FB, the app specifically, is having an unexpected uptick in users in the younger demographics, partly from their strategy of using FB marketplace and other ancillary services to bring people back to the main app. EDIT: Also, it's very easy to creat fake profiles on FB, and other people do it all the time. Meta don't need to do it themselves

aprilthird2021 2y ago

Meta actually has a whole separate, existing AI research and use case for targeting ads that has seen much better results as their AI capabilities have improved. I don't think gen AI is used for this in the way most commenters think, but the improvements in AI architecture / infra, training, etc. are all helpful to the AI which helps ad targeting while simultaneously building more powerful Gen AI

mistermann 2y ago

Generative environments on demand for their VR goggles seems like something that could drive net new revenue some day, both hardware and subscriptions. If they can find a PR safe way to provide adult content that would be even better. Or, virtual conversational humans for their boomer userbase could be a hit.

dudus 2y ago

Meta is building and scaling the infrastructure for AI and then they can resell that at a premium later. All these articles do is highlight the challenges of rolling out your own infra, if Meta solves these issues it becomes a reference and get a bigger piece of the AI pie. They want to become the AI backend for the Fortune 500