301–310 of 605 posts
I hope the stock gets destroyed next earnings when people realize they've been spending all this money on AI all to not ship a single meaningful feature nor derive any revenue leveraging it. They did the exact same thing with the whole "Metaverse" thing
I hope the stock gets destroyed next earnings when people realize they've been spending all this money on AI all to not ship a single meaningful feature nor derive any revenue leveraging it. They did the exact same thing with the whole "Metaverse" thing
Yet, there stock is up over 70-80% last year and I have no idea what they really have to show for it.
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Religion? Isn't the weirdness here that someone at Meta seems to have decided that they should make an AI bot that proudly announced its identity, despite literally not being proud, queer, black, or a mother? Who does this serve? Why? I could see a bot that's into fitness or some other hobby having a niche as a wrapper around an AI meant for advice on the hobby, but there's a certain crazy hubris to going "this LLM c…
Our language really needs a new word for what is meant here by "religion". The word "religion" brings so much baggage with it that it just causes a cascade of communication errors in this context. Pareto when translated from Italian to English called this "non-logical conduct" and "sentiments" but after a 100 years no one seems to care much about this aspect of Pareto's thoughts. Sentiments would be a great word for…
Do they not have anyone sensible left in the room? Like, you’d expect that at some point someone would have said ‘these are comically terrible, we cannot allow them to see the light of day’.
1. To make you feel like there is activity. How would you simulate activity when you have no customer to start with? I suspect Youtube threw subscribers at you just to get you addicted to video production (the only hint that my Youtube subscribers were real, was that people recognized me on the street). And guess who’s mostly talking to you on Tindr.
2. For politics and geopolitics influence. Maybe Russia pays half the bots that sway opinions on Instagram. Maybe it’s China or even Europe, and USA probably has farm bots too for Europe, to ensure the general population is swayed towards liking USA.
3. Just for business, marketing agencies sometimes suggest to create 6x LinkedIn profiles per employees to farm customers.
Facebook doing it in-house and officially is just legalizing the bribe between union leaders and CEOs.
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I can't fathom how anyone thought this was a sensible thing. It's so bad I have to wonder if there's a different angle here, maybe they think that releasing something so terribly bad will make it easier when they release something less comically bad? Idk.
The next step will be to release bots that aren't labeled as bots. They'll be influencers (advertisers) without having to pay a person. They'll produce hyper targeted influencer slop, hocking products directly to individuals using Facebook's knowledge graphs of users to be incredibly manipulative. Companies will pay Facebook to make people siphon money directly to them. It'll be like entirely automated catfishing.
Sure, they faltered at Step 2, but how was this not the plan?
Do they not have anyone sensible left in the room? Like, you’d expect that at some point someone would have said ‘these are comically terrible, we cannot allow them to see the light of day’.
I feel like there must be some sort of disassociation that kicks in when you spend long enough in the upper echelons of these gargantuan corporations. It's almost like spending long enough dealing with abstractions like MAUs, DAUs, and engagement metrics make you forget that actually, at the bottom of it all are real humans using your product.
You know what AI profiles I want more of? Clueless grandma/grandpa that accepts scammer calls and waste their time. Such as UK's O2 Daisy: https://news.virginmediao2.co.uk/o2-unveils-daisy-the-ai-gra...
There is another real-world version of this in the US healthcare system, where doctor offices are using domain-specific LLMs to craft multi-page medical approval requests for procedures that cover every known loophole insurer’s use to deny, which are then being reviewed by ML-powered algorithms at the insurance company looking for any way to deny and delay the claim approval. In other words we have a bona fide AI arm…
I get the hate, but I'd be open to trying out a social media experience that is a mix of human and bots, especially as the bots get better at acting like reasonable humans. Stack Overflow was great when it came out. But the whatever percent of humans who were mean and obnoxious and wouldn't let you just ask your questions eventually ruined it all. Then ChatGPT came out without any humans to get in the way of me askin…
Ironically, this would lead to dramatically unhealthy social interactions and be ripe for abuse. You are literally creating a bubble of interactions with technologically enforced rose-colored glasses. Get the right person in charge of the experience, and don't be surprised if it becomes a modern take on Orwell's 1984.
Do they not have anyone sensible left in the room? Like, you’d expect that at some point someone would have said ‘these are comically terrible, we cannot allow them to see the light of day’.
Having worked at a similarly gargantuan and dysfunctional company, I can tell you exactly how this went down. Someone had this idea for AI profiles. They speced the product and took it to engineering. The engineers had a good laugh at how preposterous it is, but then remembered that they get paid a ton of money to do what they're told, and will get promos and bonuses for launching regardless of the outcome. It all st…
Don't assume that you can simply pattern match because you've been at another big company. I've been at three, meta being one of them. And they have all operated very differently.
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I think Google and others are too distracted in collecting enterprise coin at the moment. They have a perfectly good consumer product in NotebookLM, but at the moment it has the quality of something an intern made.
Why would consumers pay for NotebookLM? It’s basically an (impressive) party trick.
I loaded them all up into NotebookLM.
I started asking it questions after uploading it all to NotebookLM like I would if I were starting from scratch with a customer. It answered the questions with citations.
And to hopefully deflect the usual objections - we already use GSuite as a corporate standard, NotebookLM is specifically allowed and it doesn’t train on your data.