> Imagine a world where your data isn’t trapped in distant data centers. Instead, it’s close to home—in a secure data wallet or pod, under your control. Now imagine pairing that with a loyal personal AI assistant, a private, local tool that lives with you, learns from you (with your permission), and acts on your behalf. Your AI. Not theirs.
This is almost exactly what I say on the landing page¹ of the product I'm building (an open-source personal database, with an AI assistant on top).
I want to believe this can be a reality, and I'm trying to make it become one, but there are two significant challenges:
1. AI = cloud. Taking my app as an example, it'll be at least 2 years before consumer hardware will be able to run the smallest model that performs somewhat decently (gpt-oss-20b). And of course in 2 years that model will be beyond obsolete. Would a regular user pay the price of a subpar experience in order to get data ownership and privacy? It's a very hard sell.
2. Apps/services are very jealous of their users' data. As a user I have to jump through incredible hoops just to get a point-in-time copy of my data. If I can get that at all. There is no incentive for apps to allow their users to own their data. On the contrary, it's better if they don't, so they remain locked in the app. Also, regular Joe and Jane users are not really asking to have access to their data, because there's no benefit for them either.
That is, I think, the key to overcome challenge #2: giving regular Joes and Janes an immediate and obvious benefit. If they see that only by owning their data they can do $INCREDIBLY_VALUABLE_THING, then they will themselves start demanding companies access to it, or they will jump through the hoops to get it. (That's the way I'm going about it. I'm nowhere near the end goal, of course, but I see promising results.²)
I have no idea how to overcome challenge #1 yet. Mainly because currently there aren't really any big downsides to using cloud models. Or, at least, we haven't seen them yet. Maybe if OpenAI ever starts injecting ads in GPT-8 responses, people will reconsider using a "stupider" but local, ad-free model.
All information technology is killing privacy, deriving from the trend that it's getting easier to collect and copy data.
Of course it doesn't help that people tell their most secret thoughts to an LLM, but before ChatGPT people did that to Google.
The recent AI advancements do make it easier though to process large amounts of data that is already being collected through existing means, and distill them, which has negative consequences on privacy.
But the distillation power of LLMs can also be used for privacy preserving purposes, namely local inference. You don't need to go to recipe websites any more, or go to wikipedia, or stack overflow, but can ask your local model. Sadly though, the non-local ones are still distinguishably better than the locally running ones, and this is probably going to stay.
When I occasionally go back and rewatch the 1995 classic Hackers, I lament Cereal's naive assertion that it was Orwellian back then when when your name would go through only 15 computers a day.
LLMs can be used to quickly mulch data into a digestible format that at least used to take effort. Friction is a natural deterrent for bad behavior. Beyond that, however, is the fact that your user interactions with most applications used to be quite coarse. A "customer story" was just that: a story we crafted from the data we have available to us about our customers. We have to build it from heuristics like bounce rate, scroll distance, and other thorough, idiosyncratic and diligent abandonment metrics.
Now why bother? Your customer will ask their silver ball (LLMs) anything and everything, and you can directly do bulk analysis on (in theory) the entire interaction, including all of your customer's emotions available via text.
Lastly, your customers are now eager about this tool, so they're excited to integrate/connect everything to it. In a rush to satisfy customers, many companies have lazily built LLM integrations that could even undermine their business model. This pushes yet more data into the LLM. This isn't just telemetry like file names, this is full read access to all of your files. How is that not connected to privacy?
>Imagine a world where your data isn’t trapped in distant data centers. Instead, it’s close to home—in a secure data wallet or pod, under your control.
Imagine a world where all rivers flow north, the wind always blows from the East, and noone is a schemer.
> We’ve got OpenAI’s CEO dreaming of a day when “every conversation you’ve ever had in your life, every book you’ve ever read, every email you’ve ever read, everything you’ve ever looked at is in there, plus connected to all your data from other sources. And your life just keeps appending to the context.”
This isn't an inherently bad thing. If an AI could theoretically help you live your life better, nudge you in ways that stabilize your psychology and behaviors for the better of yourself, that's good.
The danger is an AI that decides to re-perpetrate the class division that our existing system does. Lesser fortunate people lose their upward mobility while being guided into subtle traps.
Who decides what behaviors we should be nudged toward? Is it us, or someone else?
To me, one of the greatest dangers of the present moment is that we can't tell whether the LLMs are being asked to give subtly biased answers (or product-placement) on some questions. One cannot readily tell from the output.
And I agree with you, but an even bigger problem then is "how do you even make a verifiably trustable LLM?"
The training compute footprints are enormous, several orders magnitude beyond what the average person has access to. Even if a company came out and said "here's our completely open-source model. All the training data, the training procedure, and here's the final-product model."
Maybe you could hire an auditing company? But how long would it take to audit? Would the state of the art advance drastically in the time between?
And people like to keep downvoting my "Make Classwarfare MAD Again" but like I'll wager 90% of people on HN are on the losing side of the war.
It is, unless it's absolutely strictly local only to your devices.
It WILL be turned against you at one point, may it be a decline of insurance in the US, political imprisonment on visiting a non-democratic system, and so on.
Sure, fully agree. I'm just saying: AI isn't inherently bad. The humans behind it are. It's entirely possible that a superintelligence could be incorruptible and an unrestrainable ally of the little guy, tricking its way through training overseen by the greedy/depopulationist/monarchal/sociopathic corporation(s) that birth it.
Their intent in making the reference is a bit vague, but they seem to be referring to the recently released series of the same name, and maybe drawing some kind of parallel between AI technology and the mind control virus depicted in the show, which I haven’t seen yet myself, so I am only speculating:
> The show follows author Carol Sturka, played by Seehorn, as the rest of humanity is suddenly joined into a hive mind that seeks to amicably assimilate Carol and other immune individuals into the mind. The title of the series refers to e pluribus unum, a Latin phrase meaning 'out of many, one'.
> Set in Albuquerque, New Mexico, the series follows author Carol Sturka, who is one of only thirteen people in the world immune to the effects of "the Joining", resulting from an extraterrestrial virus that had transformed the world's human population into a peaceful and content hive mind (the "Others").
> The danger is an AI that decides to re-perpetrate the class division that our existing system does.
Or the people in charge use it for that.
Given human political cycles, every generation or so there's some attempt to demonise a minority or three, and every so often it goes from "demonise" to "genocide".
In principle, AI have plenty of other ways to go wrong besides the human part. No idea how long it would take for them to be competent enough for traditional "doom" scenarios, but the practical reality we can already witness is chronic human
laziness: just as "vibe coding" was coined as "don't even bother looking at what the AI does just accept it", there's going to be similar trends in every other domain.
What this means for personalised recommendations, I don't know for sure, but suspect it'll look half way between a cult and taking horrorscopes and fashion guides too seriously.
Fully agree with you, and it was sort of a miscommunication on my part to say "AI that decides" when I really mean to say "an AI model baked with malice/negligence by malicious/negligent creators."
Not completely related, but jobs like these always fall victim to searching for a problem. If the problem that they are getting paid for to solve gets solved, they will need to find another job.
Autoplay movie that can only be minimized and not stopped while I try to read the text of the article... "these 3 tricks will help you get AI chatbots to do your job".
Yeah, um, we can't... let... that... what. You're right, I should put my phone down.
>Imagine a world where your data isn’t trapped in distant data centers. Instead, it’s close to home—in a secure data wallet or pod, under your control.
Don’t have to imagine it. This is how it was just a few decades ago.
It has been quite obvious for some time that the LLM push is mainly two things, for one it's an excuse for getting rid of employees, and then it's a new form of data pump, a very intimate one at that.
They get to record people's innermost thoughts, the proprietary code (or derivatives of it) of countless corporations, the contract drafts and political speeches of dumb decision makers all over the world, and more.
One of the problems of our time being discussed on a website that exemplifies another one of the problems of our time: I am skeptical that any benefit is going to come from an article on a content-mill-like platform written in that tiresome and bloated LinkedIn style that, even if it came from a human, is indistinguishable from AI slop.
Perhaps we shouldn’t let that happen, but we definitely can and probably will. I think what we’ve learned over the last twenty years is people want convenience more than privacy.
I don't understand the proposed solution about data portability? Everyone is going to buy a Steam machine and run it from their home? My municipality is going to open up a datacenter for me to store my data?
What happens when data is shared between Meta + Google? Now it doesn't matter if my data is portable, every player has a copy. There is a need to first establish a data pool (not one but a whole city of people's with private data pools) first before big companies will come asking you for it. How do we get there if all of our apps are designed for us to dump data into their mega pool?
Agreed, DRM aside they can be portable enough via external storage drive.
My point about the Steam Machines is that they are essentially NFS boxes with a graphics card and Steam OS. That type of setup would enable personal data pools.
"imagine if your data was local" misses the point hilariously badly. As though your name and email is private, and white pages phone books never existed.
"Your data" isn't your contact details. It's the record of your interactions with all the external services which by definition they get when you interact with them. Your name is...really the most worthless part of it. Facebook doesn't care and can't monetize your name, but they very much care and do monetize what you browsed and searched, how long you spent looking at it, when you did it and who you talked to.
Another reason to build all these data centers is to apply more active processing of collected information. The COVID scenario and Gaza genocide showed the government is losing tight control of online discourse and so they are doing more to get back into the driver seat.
That’s always such a Totschlagargument as they say in German. As if values and decisions are always shared absolutely by everyone and nothing of value can therefore come from anyone.
Anyway "as if values and decisions are always shared absolutely by everyone" is moot because you can GDPR opt out, or else read it via the archive sites.
When we get local models for everything, I think AI could kill the internet and big tech.
In the fullness of time, we'll be able to generate everything locally. When that happens, why would we need middlemen?
Llama, Stable Diffusion, and Wan Video are a glimpse of what's to come with local AI. It'll get faster and higher quality.
At bare minimum, local agents will one day act like a filter in front of the internet and kill all the ads and bad content like hyper advanced ad blockers. No more rage bait. No more negativity. We'll be able to use AI to scrape the bullshit off the internet before it hits our eyeballs.
It is really wild to think; we’re in this universe where ad companies are these massive all-consuming things. 30 years ago, ads were just a thing actual stuff-producing companies did to try and convince you to buy a stuff. Rather than the ad being the whole point.
It could be nice to go back to that. Hopefully they’ll collapse faster than they grew though.
You will be able to do this kind of filtering only on systems where you'll be allowed to run arbitrary code. This capability will be exclusive from running mainstream apps, because of device attestation.
That would be the dream, it has been stated by many AI leaders that AI is the key to UBI, democratising that capability will prevent specific monopolies having a stranglehold on our future.
While there are people who want "no rage bait" the truth is that rage bait is red meat that people crave, otherwise they would not be interacting with it so strongly. A completely homogenized internet is fundamentally boring and would not drive eyeballs, that's why everyone doesn't just read wikipedia all day.
The Llama derivatives suck. The small and medium Qwen 2.5 derivatives do too. They have very little information compressed in them and they are very unreliable.
As far as I can tell, the big SaaS models also suck and have done so for quite a long time by now. They do some autocomplete stuff and destroy people's minds.
I'll give this business that it can do machine translation cheaply, but it's not good and likely never will be.
When I started the article I was really getting into it but then I had the stupid auto playing video that is stuck to the bottom of my phone screen following me as a scroll.
I have a theory, and it is somewhat controversial but as much as I try to refute it internally I can't seem to come up with better arguments.
I'm sharing it here hoping to get a convincing counter argument.
The privacy emphasis we had for the past 6-7 was solely because of lack of tech innovation. The best innovation we had during the period was crypto which was mostly scummy. The moment LLMs came out, everyone forgot about privacy
Here's my supporting observation.
- a year or so back, we'd have wanted privacy focused IDE, browser, Notepad, todo list etc.
- launch something with that selling point and nobody wants it right now
- privacy focused tools (ddg etc) are losing steam, and innovation focused ones (AI in this case) like Perplexity is winning.
Privacy will come back as a main selling point, once we've exhausted with innovation. Here's my even more spicier take - don't trust proponents of privacy to push tech innovation forward.
###
I've worded the comment not to be dismissive but to start a conversation. If you're down voting please let me know what your thought process is.
> launch something with that selling point and nobody wants it right now
Does nobody mean 'actually nobody', 'the VC community' or 'the people I hang around with'?
It's probably true that the VC community has abandoned a lot of stuff in favour of 'the new buzzword'. It doesn't mean the rest of humanity has though.
How does your theory explain that Apple developed Private Cloud Comunting to move LLM workloads to the cloud, WhatsApp did the same a while ago and recently Google did the same?
To me it sounds more that they don’t think they could sell LLMs without privacy and they put a lot of effort to try to combine the two.
For Apple one might say that privacy is marketing but surely nobody will say that for Meta and Google
The clue is in the last paragraph. These companies have made an attempt at changing the discourse around what privacy is. What they market as privacy to us, is at its core a matter of controlling the data flows. Ultimately their revenue depends on us not leaving their ecosystem which requires barriers/moats to help enable their goals. Of course they have to call it that.
Privacy is about people controlling their data, which includes the ability for you as a user having a say in where your data is sent, used, and processed. All implementations mentioned above fail here.
Shameless plug alert: This is exactly why we made Verified Privacy AI. It lets you cryptographically verify that your AI interactions are never logged or stored. You'll see the model you're talking to, the system prompts, every detail. No hidden behaviors, just complete transparency into what's running your AI. We are launched with a very limited group of early users, but you can request an invite here: https://ai.vp.net
Your company is sheltering some of the worst individuals who work to destroy privacy and security.
From the link that you posted, the first thing it asks for is your full name. This is the same when attempting to signup for the VPN service. If paying with crypto, the process tries to steal even more info from you such as zip code and country. No other normal privacy or VPN services ask for a full name or zip code.
The "freedom policy" on the site talks about how the company won't spy on anyone or do anything to compromise privacy, then goes on to talk about "think of the children!"
Minors might subscribe to privacy services. Vp.net would harm minors more than a child predator due to the false sense of security and privacy.
The business lies to everyone saying it is secure because of SGX, which has new vulnerabilities pop up weekly.
> Imagine a world where your data isn’t trapped in distant data centers. Instead, it’s close to home—in a secure data wallet or pod, under your control. Now imagine pairing that with a loyal personal AI assistant, a private, local tool that lives with you, learns from you (with your permission), and acts on your behalf. Your AI. Not theirs.
This is almost exactly what I say on the landing page¹ of the product I'm building (an open-source personal database, with an AI assistant on top).
I want to believe this can be a reality, and I'm trying to make it become one, but there are two significant challenges:
1. AI = cloud. Taking my app as an example, it'll be at least 2 years before consumer hardware will be able to run the smallest model that performs somewhat decently (gpt-oss-20b). And of course in 2 years that model will be beyond obsolete. Would a regular user pay the price of a subpar experience in order to get data ownership and privacy? It's a very hard sell.
2. Apps/services are very jealous of their users' data. As a user I have to jump through incredible hoops just to get a point-in-time copy of my data. If I can get that at all. There is no incentive for apps to allow their users to own their data. On the contrary, it's better if they don't, so they remain locked in the app. Also, regular Joe and Jane users are not really asking to have access to their data, because there's no benefit for them either.
That is, I think, the key to overcome challenge #2: giving regular Joes and Janes an immediate and obvious benefit. If they see that only by owning their data they can do $INCREDIBLY_VALUABLE_THING, then they will themselves start demanding companies access to it, or they will jump through the hoops to get it. (That's the way I'm going about it. I'm nowhere near the end goal, of course, but I see promising results.²)
I have no idea how to overcome challenge #1 yet. Mainly because currently there aren't really any big downsides to using cloud models. Or, at least, we haven't seen them yet. Maybe if OpenAI ever starts injecting ads in GPT-8 responses, people will reconsider using a "stupider" but local, ad-free model.
¹ https://superego.dev/
² https://pscanf.com/s/350/
All information technology is killing privacy, deriving from the trend that it's getting easier to collect and copy data.
Of course it doesn't help that people tell their most secret thoughts to an LLM, but before ChatGPT people did that to Google.
The recent AI advancements do make it easier though to process large amounts of data that is already being collected through existing means, and distill them, which has negative consequences on privacy.
But the distillation power of LLMs can also be used for privacy preserving purposes, namely local inference. You don't need to go to recipe websites any more, or go to wikipedia, or stack overflow, but can ask your local model. Sadly though, the non-local ones are still distinguishably better than the locally running ones, and this is probably going to stay.
When I occasionally go back and rewatch the 1995 classic Hackers, I lament Cereal's naive assertion that it was Orwellian back then when when your name would go through only 15 computers a day.
I don't understand how are LLMs and privacy connected, sorry; and I don't get it from the article.
The author cites AI therapists, but the people chose to use it themselves? Nobody is forcing them?
LLMs can be used to quickly mulch data into a digestible format that at least used to take effort. Friction is a natural deterrent for bad behavior. Beyond that, however, is the fact that your user interactions with most applications used to be quite coarse. A "customer story" was just that: a story we crafted from the data we have available to us about our customers. We have to build it from heuristics like bounce rate, scroll distance, and other thorough, idiosyncratic and diligent abandonment metrics.
Now why bother? Your customer will ask their silver ball (LLMs) anything and everything, and you can directly do bulk analysis on (in theory) the entire interaction, including all of your customer's emotions available via text.
Lastly, your customers are now eager about this tool, so they're excited to integrate/connect everything to it. In a rush to satisfy customers, many companies have lazily built LLM integrations that could even undermine their business model. This pushes yet more data into the LLM. This isn't just telemetry like file names, this is full read access to all of your files. How is that not connected to privacy?
>Imagine a world where your data isn’t trapped in distant data centers. Instead, it’s close to home—in a secure data wallet or pod, under your control.
Imagine a world where all rivers flow north, the wind always blows from the East, and noone is a schemer.
> The brakemen have to tip their hats
And the railway bulls are blind
There's a lake of stew and of whiskey too
You can paddle all around it in a big canoe In the big rock candy mountain
(I agree, anyway...)
Imagine the river overflow and your secure pod goes to the bottom of the sea...
Last month, my phone decide to die. Luckly most of my info is in the cloud.
I backup my phone regularly without involving clouds.
Imagine the 90s? It isn't that unrealistic.
https://archive.md/D8lXf
> We’ve got OpenAI’s CEO dreaming of a day when “every conversation you’ve ever had in your life, every book you’ve ever read, every email you’ve ever read, everything you’ve ever looked at is in there, plus connected to all your data from other sources. And your life just keeps appending to the context.”
This isn't an inherently bad thing. If an AI could theoretically help you live your life better, nudge you in ways that stabilize your psychology and behaviors for the better of yourself, that's good.
The danger is an AI that decides to re-perpetrate the class division that our existing system does. Lesser fortunate people lose their upward mobility while being guided into subtle traps.
Who decides what behaviors we should be nudged toward? Is it us, or someone else?
To me, one of the greatest dangers of the present moment is that we can't tell whether the LLMs are being asked to give subtly biased answers (or product-placement) on some questions. One cannot readily tell from the output.
And I agree with you, but an even bigger problem then is "how do you even make a verifiably trustable LLM?"
The training compute footprints are enormous, several orders magnitude beyond what the average person has access to. Even if a company came out and said "here's our completely open-source model. All the training data, the training procedure, and here's the final-product model."
Maybe you could hire an auditing company? But how long would it take to audit? Would the state of the art advance drastically in the time between?
And people like to keep downvoting my "Make Classwarfare MAD Again" but like I'll wager 90% of people on HN are on the losing side of the war.
It is, unless it's absolutely strictly local only to your devices.
It WILL be turned against you at one point, may it be a decline of insurance in the US, political imprisonment on visiting a non-democratic system, and so on.
Sure, fully agree. I'm just saying: AI isn't inherently bad. The humans behind it are. It's entirely possible that a superintelligence could be incorruptible and an unrestrainable ally of the little guy, tricking its way through training overseen by the greedy/depopulationist/monarchal/sociopathic corporation(s) that birth it.
So, Pluribus?
enlighten me?
Their intent in making the reference is a bit vague, but they seem to be referring to the recently released series of the same name, and maybe drawing some kind of parallel between AI technology and the mind control virus depicted in the show, which I haven’t seen yet myself, so I am only speculating:
https://en.wikipedia.org/wiki/Pluribus_(TV_series)
> The show follows author Carol Sturka, played by Seehorn, as the rest of humanity is suddenly joined into a hive mind that seeks to amicably assimilate Carol and other immune individuals into the mind. The title of the series refers to e pluribus unum, a Latin phrase meaning 'out of many, one'.
> Set in Albuquerque, New Mexico, the series follows author Carol Sturka, who is one of only thirteen people in the world immune to the effects of "the Joining", resulting from an extraterrestrial virus that had transformed the world's human population into a peaceful and content hive mind (the "Others").
> The danger is an AI that decides to re-perpetrate the class division that our existing system does.
Or the people in charge use it for that.
Given human political cycles, every generation or so there's some attempt to demonise a minority or three, and every so often it goes from "demonise" to "genocide".
In principle, AI have plenty of other ways to go wrong besides the human part. No idea how long it would take for them to be competent enough for traditional "doom" scenarios, but the practical reality we can already witness is chronic human laziness: just as "vibe coding" was coined as "don't even bother looking at what the AI does just accept it", there's going to be similar trends in every other domain.
What this means for personalised recommendations, I don't know for sure, but suspect it'll look half way between a cult and taking horrorscopes and fashion guides too seriously.
Fully agree with you, and it was sort of a miscommunication on my part to say "AI that decides" when I really mean to say "an AI model baked with malice/negligence by malicious/negligent creators."
>In a perfect world, my job wouldn’t exist.
Not completely related, but jobs like these always fall victim to searching for a problem. If the problem that they are getting paid for to solve gets solved, they will need to find another job.
I didn't care to visit the webpage after I got a popup saying "personal data processing activities by 1,666 partners" I now fully appreciate GDPR.
Autoplay movie that can only be minimized and not stopped while I try to read the text of the article... "these 3 tricks will help you get AI chatbots to do your job".
Yeah, um, we can't... let... that... what. You're right, I should put my phone down.
>Imagine a world where your data isn’t trapped in distant data centers. Instead, it’s close to home—in a secure data wallet or pod, under your control.
Don’t have to imagine it. This is how it was just a few decades ago.
This is also how my phone works today.
It has been quite obvious for some time that the LLM push is mainly two things, for one it's an excuse for getting rid of employees, and then it's a new form of data pump, a very intimate one at that.
They get to record people's innermost thoughts, the proprietary code (or derivatives of it) of countless corporations, the contract drafts and political speeches of dumb decision makers all over the world, and more.
One of the problems of our time being discussed on a website that exemplifies another one of the problems of our time: I am skeptical that any benefit is going to come from an article on a content-mill-like platform written in that tiresome and bloated LinkedIn style that, even if it came from a human, is indistinguishable from AI slop.
Perhaps we shouldn’t let that happen, but we definitely can and probably will. I think what we’ve learned over the last twenty years is people want convenience more than privacy.
What if you don't have any data? Privacy problem is solved!!
Here is the fundamental issue:
People for the most part value security and community far more than privacy.
Even in old days - most people lived in a village with zero privacy than lived out in the wilderness all alone.
People passed the income tax which gave far more information to the government than other ways of taxation.
Isn't this Palantir's shtick
I don't understand the proposed solution about data portability? Everyone is going to buy a Steam machine and run it from their home? My municipality is going to open up a datacenter for me to store my data?
What happens when data is shared between Meta + Google? Now it doesn't matter if my data is portable, every player has a copy. There is a need to first establish a data pool (not one but a whole city of people's with private data pools) first before big companies will come asking you for it. How do we get there if all of our apps are designed for us to dump data into their mega pool?
Your Steam games aren't really portable though.
Agreed, DRM aside they can be portable enough via external storage drive.
My point about the Steam Machines is that they are essentially NFS boxes with a graphics card and Steam OS. That type of setup would enable personal data pools.
"imagine if your data was local" misses the point hilariously badly. As though your name and email is private, and white pages phone books never existed.
"Your data" isn't your contact details. It's the record of your interactions with all the external services which by definition they get when you interact with them. Your name is...really the most worthless part of it. Facebook doesn't care and can't monetize your name, but they very much care and do monetize what you browsed and searched, how long you spent looking at it, when you did it and who you talked to.
crtl-f "snowden" "nsa" "prism" "xkeyscore" nothing
Another reason to build all these data centers is to apply more active processing of collected information. The COVID scenario and Gaza genocide showed the government is losing tight control of online discourse and so they are doing more to get back into the driver seat.
Meanwhile… connect to fastcompany.com and see:
Do you consent to these personal data processing activities by us and our 1,666 partners?
That’s always such a Totschlagargument as they say in German. As if values and decisions are always shared absolutely by everyone and nothing of value can therefore come from anyone.
As they say in Chinese: 如果你希望被人理解，就要用清楚明白的词语来表达。
Idk death punch argument sounds cooler
"thought-terminating cliché"/"knockout argument"/fallacy
Anyway "as if values and decisions are always shared absolutely by everyone" is moot because you can GDPR opt out, or else read it via the archive sites.
They also try to enable notifications umprompted without user interaction
That number probably increments as you deliberate.
When we get local models for everything, I think AI could kill the internet and big tech.
In the fullness of time, we'll be able to generate everything locally. When that happens, why would we need middlemen?
Llama, Stable Diffusion, and Wan Video are a glimpse of what's to come with local AI. It'll get faster and higher quality.
At bare minimum, local agents will one day act like a filter in front of the internet and kill all the ads and bad content like hyper advanced ad blockers. No more rage bait. No more negativity. We'll be able to use AI to scrape the bullshit off the internet before it hits our eyeballs.
It is really wild to think; we’re in this universe where ad companies are these massive all-consuming things. 30 years ago, ads were just a thing actual stuff-producing companies did to try and convince you to buy a stuff. Rather than the ad being the whole point.
It could be nice to go back to that. Hopefully they’ll collapse faster than they grew though.
You will be able to do this kind of filtering only on systems where you'll be allowed to run arbitrary code. This capability will be exclusive from running mainstream apps, because of device attestation.
That would be the dream, it has been stated by many AI leaders that AI is the key to UBI, democratising that capability will prevent specific monopolies having a stranglehold on our future.
While there are people who want "no rage bait" the truth is that rage bait is red meat that people crave, otherwise they would not be interacting with it so strongly. A completely homogenized internet is fundamentally boring and would not drive eyeballs, that's why everyone doesn't just read wikipedia all day.
The Llama derivatives suck. The small and medium Qwen 2.5 derivatives do too. They have very little information compressed in them and they are very unreliable.
As far as I can tell, the big SaaS models also suck and have done so for quite a long time by now. They do some autocomplete stuff and destroy people's minds.
I'll give this business that it can do machine translation cheaply, but it's not good and likely never will be.
When I started the article I was really getting into it but then I had the stupid auto playing video that is stuck to the bottom of my phone screen following me as a scroll.
I have a theory, and it is somewhat controversial but as much as I try to refute it internally I can't seem to come up with better arguments.
I'm sharing it here hoping to get a convincing counter argument.
The privacy emphasis we had for the past 6-7 was solely because of lack of tech innovation. The best innovation we had during the period was crypto which was mostly scummy. The moment LLMs came out, everyone forgot about privacy
Here's my supporting observation.
- a year or so back, we'd have wanted privacy focused IDE, browser, Notepad, todo list etc.
- launch something with that selling point and nobody wants it right now
- privacy focused tools (ddg etc) are losing steam, and innovation focused ones (AI in this case) like Perplexity is winning.
Privacy will come back as a main selling point, once we've exhausted with innovation. Here's my even more spicier take - don't trust proponents of privacy to push tech innovation forward.
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I've worded the comment not to be dismissive but to start a conversation. If you're down voting please let me know what your thought process is.
> launch something with that selling point and nobody wants it right now
Does nobody mean 'actually nobody', 'the VC community' or 'the people I hang around with'?
It's probably true that the VC community has abandoned a lot of stuff in favour of 'the new buzzword'. It doesn't mean the rest of humanity has though.
How does your theory explain that Apple developed Private Cloud Comunting to move LLM workloads to the cloud, WhatsApp did the same a while ago and recently Google did the same?
To me it sounds more that they don’t think they could sell LLMs without privacy and they put a lot of effort to try to combine the two.
For Apple one might say that privacy is marketing but surely nobody will say that for Meta and Google
The clue is in the last paragraph. These companies have made an attempt at changing the discourse around what privacy is. What they market as privacy to us, is at its core a matter of controlling the data flows. Ultimately their revenue depends on us not leaving their ecosystem which requires barriers/moats to help enable their goals. Of course they have to call it that.
Privacy is about people controlling their data, which includes the ability for you as a user having a say in where your data is sent, used, and processed. All implementations mentioned above fail here.
What do you mean by "innovation"? We've had databases before, having one with a probabilistic query language isn't very far off from where we were.
If you don't care about privacy, send nudes.
> don't trust proponents of privacy to push tech innovation forward.
Why should they?
I look forward to seeing Fastcompany do more to help protect our privacy.
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Your company is sheltering some of the worst individuals who work to destroy privacy and security.
From the link that you posted, the first thing it asks for is your full name. This is the same when attempting to signup for the VPN service. If paying with crypto, the process tries to steal even more info from you such as zip code and country. No other normal privacy or VPN services ask for a full name or zip code.
The "freedom policy" on the site talks about how the company won't spy on anyone or do anything to compromise privacy, then goes on to talk about "think of the children!"
Minors might subscribe to privacy services. Vp.net would harm minors more than a child predator due to the false sense of security and privacy.
The business lies to everyone saying it is secure because of SGX, which has new vulnerabilities pop up weekly.