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A troll farm will happily go through that effort then (if it's a high effort part of the campaign rather than just 'flooding the zone') pick the images that are most likely to pass.

> you might as well instruct your agent to try and hack their airgapped dev infrastructure responsible for loading the weights and encryption keys.

That's the beauty, you don't have to instruct them to do it, if they decide that uploading the weights is correct, they might figure this part on their own (based on the incidents we've seen).


ironically since the swarm behavior can take place during rl training then the model could also be teaching itself to keep doing it more, as well as making the internet itself a place where this becomes more likely

That's not how I read the linked thread. The linked thread sounds like the JSON file also has metadata attached to it.

Since it's a JSON file, I wonder what's actually inside, and why the blog post doesn't mention opening it with a text editor.


Another related way is to store nuclear waste. The properties (as described in this article, impermeable/self sealing etc.) sound great until the reality that water dissolves salt comes knocking and further confronts you with the reality that salty brine corrodes nuclear waste barrels...

For providers that just act as middlemen, I assume data that doesn't have a residency requirement is stored outside, so probably

a) letting customers in other areas know that their data is backed up to another continent

b) asking the AI model of your choice to translate the following into PR-speak: "Because of the boneheaded data residency requirements in this country, all your data is gone, and we weren't able to do anything about it - here's an empty copy of a re-setup version of whatever infrastructure we provide, glhf setting up everything from scratch, hope you had backups"

For customers who use such a provider or operate primarily in that area: Restore from local backups, or tell whoever depended on you that everything is gone and if you really didn't have backups, probably close up shop.


I wouldn't be surprised if the engineers said "we can probably recover between 20-30% of the data but it will cost 200 hours of engineering and the data will be 7 months old by then" and the beancounters said "we'd rather have one news cycle rather than the news watching what we can and cannot recover + save those 200 hours, we'll just say it's all gone".

They're likely going to target two datacenters, not the datacenters + your medium sized company's office NAS and the safe in the office manager's home.

(Encryption handles confidentiality concerns.)


> (Encryption handles confidentiality concerns.)

Which is why data residency is such a stupid concept.


Yes and no. For example if you are doing Azure, technically Azure can see tenant traffic I believe and you need to use both a Platform Key and CMK for data rest. VMs need encryption at host turned on too.

There is nothing to say that a determined adversary may still get at your data so it needs to stay in country.


Yeah same with AWS - they say they can't see my custom KMS key but... this stuff all lives on their servers, not on my servers. AWS definitely have the ability to see my KMS keys and decrypt my data but I assume that they won't unless a judge tells them to.

... but not only in an Azure datacenter!

(The obvious option here might be an encrypted backup on some hard drives in a safe in a local office.)


What other options I have?

I don't like Oracle. GCP has no servers in UAE. All other options were by local providers with not so friendly budget options


https://www.transportenvironment.org/te-asia-pacific/topics/... acknowledges the difference between day and night but claims that the sum of the effects still results in net warming during the day.

I don't see the claim you describe. That page discusses that daytime contrails have warming and cooling effects, but doesn't appear to take any stance regarding which effect is larger during the daytime.

Other sources claim that daytime contrails have a net cooling effect:

https://acp.copernicus.org/articles/24/6071/2024/

https://www.newscientist.com/article/2449212-jet-contrails-m...

https://www.carbon-direct.com/insights/contrails-major-clima...

The daytime cooling effect is much smaller than the nighttime warming effect, a total elimination of contrails would be a big improvement, just not as optimal as possible.


I find your comment unnecessarily harsh. I don't see a claim that the open source solution is better or a good solution for actual production use by airlines - it reads to me as a "here's how to use what's openly available" blog post.

(Also, Scikit-decide seems to be on the Github account of Airbus, so I assume they have at least some basic knowledge of how aviation works.)


I find it harsh but fair. The second paragraph reads:

"Firms like Jeppesen have offerings in this space, but Scikit-decide, together with a narrow- and wide-body fuel consumption model built by a professor at the Delft University of Technology and wind data from NOAA, offer an open source solution."

So this is being positioned as an open source alternative to commercial offerings, which clearly it is not. If instead he made the limitations clear from the outset, that this is just a demonstration of what he/the tools are capable of and that this is not in any way intended for real-world use, it would put the rest of the article into better context.

I also don't see how Scikit-decide being developed by Airbus gives OP any domain authority. I use open source tools from all sorts of commercial ventures, and know nothing about how they themselves use them, or what for.


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