• 6 Posts
  • 23 Comments
Joined 1 year ago
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Cake day: July 2nd, 2023

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  • Agree, but the explosive inside is very low, so the damage is mostly going to be inflicted on the person who this pager belonged to. From the initial reports all the casualties were linked to Hezbollah and even the girl was a daughter of a member of Hezbollah.

    Me personally, I don’t defend the actions of Israel, but still think it is a lot more targeted than dropping 2000lbs. bombs over densely populated areas. Another question is of course if this will achieve anything other than strengthening the resolve of those people.

    Unfortunately, nowadays to win a war, you simply need to be the richer and more advanced nation, and Israel has the upper hand here.








  • Can someone ELI5 how this isn’t recognised as a terrorism?

    Notwithstanding this flood of official condemnations, the authorities do not appear to be in any hurry to bring the perpetrators to justice; only one person was arrested in the aftermath of the attack, and subsequently released. Settler impunity has long been the norm: according to data from the Israeli human rights group Yesh Din, 97 percent of police files opened into cases of settler violence since 2005 have been closed without convictions.









  • And you as an analytics engineer should know that already? I am using some LLMs on almost a daily basis, Gemini, OpenAI, Mistral, etc. and I know for sure that if you ask it a question about a niche topic, the chances for the LLM to hallucinate are much higher. But also to avoid hallucinating, you can use different prompt engineering techniques and ask a better question.

    Another very good question to ask an LLM is what is heavier one kilogram of iron or one kilogram of feathers. A lot of LLMs are really struggling with this question and start hallucinating and invent their own weird logical process by generating completely credibly sounding but factually wrong answers.

    I still think that LLMs aren’t the silver bullet for everything, but they really excel in certain tasks. And we are still in the honeymoon period of AIs, similar to self-driving cars, I think at some point most of the people will realise that even this new technology has its limitations and hopefully will learn how to use it more responsibly.