What is this question about the number of terrorists and the targeting of buildings? It's well documented that the IDF lies about their targets, like the time they killed medics, burried them and their vehicle and claimed theywere approaching dangerously, but then when video proof showed they were lying they said it was a mistake.

Relevant links:

- https://www.aljazeera.com/news/2025/4/5/unprecedented-video-... - https://www.972mag.com/lavender-ai-israeli-army-gaza/

It's such a low effort reply that doesn't offer any proof or arguments to back it up.

It isn't true and it's actually documented that it's the IDF that used palestinians as human shields to protect themselves. (https://apnews.com/article/israel-palestinians-hamas-war-arm...)

Even if were true, this doesn't justify the killing of civilians. You wouldn't blow up an entire building if there was a single terrorist in there. But, if I'm not mistaken, the IDF has quite a high number of acceptable collateral casualties, in the 100s, for a single valid target. So they're purposefully attacking civilians or attacking without any care for them.

What did Israel compromise on? They have settler colonies in the west bank, they control everything that goes in and out of Gaza, they built a wall around Gaza, etc.

It all starts from the initial division of the land that led to the creation of Israel. To me that division makes no sense because the area is not proportial to the population and because of the very nature of the split it created. Instead of offering Palestinians a contiguous division of land, it offered them two disconnected pieces of land with Israel right in the middle. That makes no sense.

As for your video, I don't know what you're trying to stay or do by sharing it. No matter whether you like Pelstinians or not, they have rights especially so under apartheid, settler colonialism and genocide.

Here's for you an example video showing israelis:

https://youtu.be/8RVoPZPKxLY?si=Z-T_iKehTsfJ7xMq

It doesn't look good.

The same for Syrians in Turkey, they don't have a proper refugee status and have instead a secondary status that gives them fewer rights.

Here's some food for thought from me as well: why does anything that goes in and out of Gaza go through israel? Why don't other countries recognize the state of Palestine? Wouldn't that be a good step towards a two-state solution? (Even though I don't believe that would work, at least not without justice for the Palestinians).

I think it would be interesting to do a large scale experiment to see what can happen.

On top that, this attack just sets a terrible precedent and opens the door to more similar attacks happening elsewhere.

See this link for more information: https://gmail.googleblog.com/2008/03/2-hidden-ways-to-get-mo...

You should instead try looking into Homomorphic Encryption:

https://huggingface.co/blog/encrypted-llm

It is resource intensive and slower but it serves your purpose better, in my opinion.

Here's an excerpt from the readme: "Beyond Jupyter is a collection of self-study materials on software design, with a specific focus on machine learning applications, which demonstrates how sound software design can accelerate both development and experimentation."

I however disagree with the framing in the example. Starting from the event that Able attacked Baker without mentioning the reasons or the context clearly portrays Baker as not having done anything to provoke such an attack. Nothing ever happens in a vaccuum.

Additionally, juging from the amount of data such models would have to go through in order to make predictions (social media, camera footage, etc.) I would assume that they are using neural networks. This type of model performs best without raw unprocessed data e.g. raw camera footage instead of preprocessed features like "wears a scarf" or "carrying a weapon". They are also well known to be black boxes whoe mredictions cannot really be explained [0].

We can still comment on this topics based an assumptions and previous experince. I don't have experience working in the military field but I have experience working in the AI field and these are strong assumptions I am making.

[0] https://arxiv.org/abs/1811.10154

> Lavender learns to identify characteristics of known Hamas and PIJ operatives, whose information was fed to the machine as training data, and then to locate these same characteristics — also called “features” — among the general population, the sources explained. An individual found to have several different incriminating features will reach a high rating, and thus automatically becomes a potential target for assassination.

It literally says that they use data from known Hamas members (we don't know what this data contains) as training data which is a recipe for making biased predictions. Hamas members represent a minority in Gaza (the total population is over 2 million people) and thus the real data is heavily imbalanced[0] and unless addressed leads to bad models.

On top of that, if you know anything about Machine Learning then you should be aware of models finding spurious correlations[1] in the data that make its predictions accurate on the available training and validation data and not so much once deployed and used with real data.

[0] https://developers.google.com/machine-learning/data-prep/con...

[1] https://thegradient.pub/shortcuts-neural-networks-love-to-ch...

It's easy to point the fingers at Hamas for the region's suffering but that is dishonest and completely omits the big role that Israel played in creating this and previous events.

[0] https://www.hrw.org/news/2023/12/05/does-israels-treatment-p...

[1] https://www.law.cornell.edu/wex/apartheid

[2] https://www.unicef.org/mena/documents/gaza-strip-humanitaria...

[3] https://www.hrw.org/news/2024/01/27/gaza-two-rights-return

[0] https://www.reuters.com/world/middle-east/palestinian-killed...