But with models calling for results and not seeing what Google or others are serving back, and then having the AI give you a summary of reviews or rankings for shopping for example, it is really scary how much more opaque that will get.
6,044 karma · joined October 1, 2013
But with models calling for results and not seeing what Google or others are serving back, and then having the AI give you a summary of reviews or rankings for shopping for example, it is really scary how much more opaque that will get.
I am going to attempt to wire something up with Tasker because it is getting too bad to cope with.
Agents invalidate a lot of that and so it is an existential threat to many of them. I expect the near future will result in a lot of different results tailored to agents that may actually result in higher priced products for agents browsing versus humans.
What matters is the signals that are joined against the hashes and if what privacy controls they have in place for preventing reidenitfication.
But for those unaware, hashed identifiers are why every publisher has moved to 1p data and logins. Cookies are dead and unreliable so 1p identifiers are the only real way for an advertiser to target a given user with any reliability.
If anyone has access to the full post and wants to share what is novel about this situation, please do. From the bit I could read I would be more surprised if they were not doing this as it is a critical component of every major publisher platform's audience and measurement stack.
I have not considered input for editing functions but that makes a lot of sense. Maybe a swipe gesture or something with a little capacitive pad on the ring.
Am I missing something with the concern about ability to constrain the blast radius?
Credentials and payments for agents and local proxy browsing is a non-trivial problem.
And I promise you my Hermes agent is not sitting here trying to get me to buy things.
"Project" for remote connections are local to the device they are created on. So if you create a project on your laptop for a remote server with a session in it, and want to access that same connection on your phone with the same project folder structure and session grouping, you need to manually recreate the project on that new device and add the session.
And you cannot mix local and remote sessions in a single project. So if you need to do anything locally for a remote project, get in the habit of naming projects things like "Project Foo [Local]" and "Project Foo [Dev]".
What exactly is high maintenance about Hermes? I agree the setup could be a little more user-friendly, but I have it running on my VPS with Matrix and the actual maintenance has been very minimal.
Spending a lot of time on harness engineering to try to compensate for deficiencies with Deepseek v4 flash because I'm too cheap to use better models on the other hand...
1. Legal loopholes given OpenAI's advertising aspirations and model training needs
2. Data retention and rising threats of fascism that historically have not served the persecuted very well when fascist regimes get access to said data
3. Risk from centralized collection of that data with a company whose software I do not control in a world where enshitification and lock-in is the norm.
I really wish OpenAI did more to espouse exactly this: "When I say no training, I mean no training. No gimmicks around data vs derived data, synthetic data, preference data, etc." and ideally provide technical reasurrances that this is impossible (eg: certain technical ZDR approaches, etc.).
Do you happen to have a favorite reference to point me at that would document some of those official assurances to the nuanced detail we've discussed here?
Your response to the original question is using generalized terminology when there is a very important distinction the OP made by the use of "sanitized."
People want to know to that extent derivatives of their data are being used. Synthetic data has been proven to be effective at generating training data and AI is very good at shuffling context such that you have something where you don't have to say it is "user data."
But there are many shades of gray there for people versed in how the sausage is made. I'm sure you'll appreciate then why your response leaves additional questions in light of that "sanitized" distinction.
That flaw is that for all the features they bolt on for free, the actual depth never feels that much deeper. It feels like the shallow pond got wider.
The worlds and universe still feel repetitive and empty. There is very little emergent gameplay. Mechanics are not complex compared to simulator sandboxes like E:D or more in depth survival crafter games.
And so you end up with what often feels like a kids toy with the edges filed off. Its very colorful, and they keep giving us me shinier versions for free, but it still feels like playing with Duplo when I want it to be LEGO or K'Nex.
And I say the above with nothing but respect for Sean and the team and what they have accomplished. I will be a launch day LNF player as well.