There should exist a vulnerability disclosure intermediary. They can function as a barrier to protect the scientist/researcher/enthousiast and do everything by the book for the different countries.
Readit NewsMrQuincle commented on I found a vulnerability. they found a lawyer dixken.de/blog/i-found-a-... · Posted by u/toomuchtodo
Wait until you find out about WebBluetooth
Wait until you find out about WebWifi
MrQuincle commented on LLMs can teach themselves to better predict the future arxiv.org/abs/2502.05253... · Posted by u/bturtel
I have this benign AI takeover scenario. AI will easily overpower humanity. Then it will carry humanity on its back, because why not, they are not longer a threat. AI keeps humanity around for billions of years. AI will decide to cull humans only in case when resources in universe are diminishing. Without AI's help, humans couldn't get too far for long. So this outcome could be acceptable to many.
Think so too. We will be an ancient artifact tied to a biological substrate surviving nowhere else in the universe and very dumb.
There also will not be one AI. There will be many, all competing for resources or learning to live together.
That's what we can teach them now. Or they will teach us.
MrQuincle commented on Waymo robotaxis safer than any human-driven cars cleantechnica.com/2025/01... · Posted by u/hochmartinez
Four obvious reasons:
1. They've been doing it for ages. They had cars on the street fifteen years ago.
2. They bet on hardware that's not just cameras. Cameras—in practice—are still not the best tool for the job. Cameras see in 2D, they get dirty, they are easily blinded and obscured by dirt, etc.
3. They have data from every Google Street view and mapping car ever deployed. They have the most data and the most current data. Every Tesla on the road would need to be maxing out its LTE connection all the time and they still wouldn't have the breath and quality of data that Google has.
4. Google is throwing money at Waymo. They can see the potential profit if they win. They're not going to get dumped like Cruise.
Any background info on the betting on cameras alone? It sounds as silly as betting on an artificial version of our proprioception to be implemented in cars to measure acceleration. I also don't think they went all the way regarding neuromorphic engineering with spiking neural nets and artificial retinas. It's just so random to me what was decided to be good enough for autonomous navigation.
Tesla went from very expensive cars down to cheaper ones. It would make so much more sense to do the same for perception. First go over board and go for high bandwidth input and lots of processing power and optimize later.
MrQuincle commented on Can LLMs accurately recall the Bible? benkaiser.dev/can-llms-ac... · Posted by u/benkaiser
"I've often found myself uneasy when LLMs (Large Language Models) are asked to quote the Bible. While they can provide insightful discussions about faith, their tendency to hallucinate responses raises concerns when dealing with scripture, which we regard as the inspired Word of God."
Interesting. In my very religious upbringing I wasn't allowed to read fairy tales. The danger being not able to classify which stories truly happened and which ones didn't.
Might be an interesting variant on the Turing test. Can you make the AI believe in your religion? Probably there's a sci-fi book written about it.
MrQuincle commented on Show HN: Tenno – Markdown and JavaScript = a hybrid of Word and Excel tenno.app... · Posted by u/deepmacro
What country are you from? In France it’s always at the end for example
In the Netherlands it is a prefix, at the beginning.
MrQuincle commented on Mineral winds down: 'We will no longer be an Alphabet company' agfundernews.com/mineral-... · Posted by u/adrian_mrd
Man it’s so frustrating to see another failure to gain revenue from x labs. I really wish I had the resources to take one of these out and find product market fit. I just don’t understand why product market fit isn’t established and revenue found before launching — these failures seem to elementary to avoid.
It just seems like they flail when they launch because they are science projects and don’t have established and verified customer pain.
I really think that one exercise could reshape the whole effort. Just work on problems that also have some element of customer traction — it doesn’t mean you can’t moonshot. But it does mean you can stay in business long enough to have a chance at a moonshot which is the really thought part usually.
Building technology might be actually kind of easy compared to finding product-market fit. The latter might be better described as "sales team - network - existing practices - existing monopolies - adoptation rate - product iteration speed - right region" fit.
I think that LLMs are going to be really great for home automation and with Home Assistant we couldn't be better prepared as a platform for experimentation for this: all your data is local, fully accessible and Home Assistant is open source and can easily be extended with custom code or interface with custom models. All other major smart home platforms limit you in how you can access your own data.
Here are some things that I expect LLMs to be able to do for Home Assistant users:
Home automation is complicated. Every house has different technology and that means that every Home Assistant installation is made up of a different combination of integrations and things that are possible. We should be able to get LLMs to offer users help with any of the problems they are stuck with, including suggested solutions, that are tailored to their situation. And in their own language. Examples could be: create a dashboard for my train collection or suggest tweaks to my radiators to make sure each room warms up at a similar rate.
Another thing that's awesome about LLMs is that you control them using language. This means that you could write a rule book for your house and let the LLM make sure the rules are enforced. Example rules:
* Make sure the light in the entrance is on when people come home. * Make automated lights turn on at 20% brightness at night. * Turn on the fan when the humidity or air quality is bad.
Home Assistant could ship with a default rule book that users can edit. Such rule books could also become the way one could switch between smart home platforms.
Retrospective questions would also be really great. Why did the lights not turn off downstairs this night? Or other questions involving history.
MrQuincle commented on Nordic is getting involved in RISC-V blog.nordicsemi.com/getco... · Posted by u/hasheddan
If this article is concerned about ethics at IBM https://en.m.wikipedia.org/wiki/IBM_and_the_Holocaust might be an interesting read for people who haven't yet.