aditya_rs
Joined 4 years ago
Joined 4 years ago
Even in the future if they are required by law to provide it, I wouldn't bet against the craftiness of the providers to invent some sort of network effect dark pattern to make it painful, if not outright impossible.
Just as an example, with Muse I can already see that the way they are thinking of making money is via taking a transaction cut, so it's not that hard to imagine that Meta can negotiate deals for txns that happens through Muse which won't be available elsewhere.
Tin foil hat version of me thinks that all the closed model companies want to desperately build an abstraction layer on top of the model, so that they can limit access to the model directly and build a locked down relationship with the user.
Other inference providers should counter this by providing their own version of standardized managed agents.
Coincidentally, I published a note on my blog just about this today https://aditya.rs/blog/2026/09/29/inference-providers-should...
I was mostly interested in solving a very specific problem for myself (basically poll a website behind auth + 2fa and react/notify to changes) and since I also had recently gotten into frontend decided to also try out building extensions.
I knew about Tampermonkey and such but had never used them, and I also wasn't sure if they would be long term viable with MV3 coming in. Moreover I also wanted to explore some way to keep options open in case chrome ended up being very heavy handed with extensions, in the process I discovered there are still a lot of things you can do if you really really wanted to bypass the current limitations.
In the end though I personally decided to use Violentmonkey instead of this, but this could be an alternative direction for others who don't/can't use dev mode for extensions.
Yep, this is the reason why I think we should continue to have a regulatory stopgap to provide a floor for acceptable behavior
haha yeah, you're right I could have been more clear on why I thought there was a need for it.
One way to look at it (though might not be a strong argument) is even with the current regulatory framework, the incentives are not aligned. So I don't think regulation is a way to align incentives rather it acts as a floor of what should be acceptable behavior.
The reason why I think a regulatory stop gap is needed is, when a problem doesn't have enough momentum towards it, it's much easier to make a problem worse than to make it better and regulation acts as a valve by indicating the directional progress we want to make and prevent making it worse at least until there is sufficient momentum that progress from the problem is clearly much better than the alternative.
That said, I think for the problems I used as examples in the article the current mechanisms and the current framework we have are sufficient, and possibly no new regulation needs to be taken. (i.e, for the case of doctors, we already have pretty good mechanisms to prevent doctors from creating actual harm, for climate change we already have limits on carbon emissions, etc.)
You're right I didn't mention specifics of on who would create these. A naive answer would have been "why not anyone?", but you bring up an interesting point on who would actually hold the bet for a long duration of time and be guaranteed for pay-offs.
I disagree with the problem of enforceability of the paying out in case someone looses a long position, since it's also a current problem with the standard futures for stocks/commodities, where the brokerage firm would be liable for paying up in case of defaulting on a margin call, so similar structure might be imagined for these cases.
With regards who might create these futures, the government seems like a good candidate, but really if we do have a solid clearinghouse with similar structure for handling margin calls etc. I don't see why not anyone can create these.
The regulatory concerns for implementing these is very valid, but I was primarily just interested in exploring the idea.
> If you are saying sentience is 'larger' or different to intelligence then I'd argue you are defining it,
I suppose it's more of a character definition rather the definition of thing itself, it makes sense? Like how you would say Green is not Red or darkness is absence of light.
> No big name in AI academia or philosophy of mind seems to have made a strong claim about sentience in AI that we currently have. A lot of laymen have made claims, without defining sentience, or consciousness
I think for me this shouldn't prevent us from making qualitative delineation between these things without having to resort to waiting for a full definition for these things to be carved out. As to why should we even bother making this distinction, I think it's to have some clarity on things like morality when talking about these machines which can replicate with surprising fidelity the only means we have of expressing our inner world.
> This exists. It is called Cognitive Studies
Thank you for pointing me to this direction. I still feel there is something lacking? I can't put my finger on what it is, like just intelligence has to be seen independently as a mechanical field instead of clubbing it with other things. Though it might be a recency bias of having written this article.
> it's an emergent property based on size of the network of connections and underlying training data (be that human sensory input or machine vectors). Trim an LLM down and you won't see 'intelligence' disappear at a binary boundary, it'll degrade gradually to various different points of usability.
I thought about and continue to think about this. Regarding humans there is still open discussion on are babies conscious https://www.nytimes.com/2026/10/05/science/consciousness-bra...