ruby , to random
@ruby@toot.cat avatar

Great article about how is like a mechanical psychic, and exactly how that works for both human and software mentalists.

https://softwarecrisis.dev/letters/llmentalist/

ajsadauskas , to random
@ajsadauskas@aus.social avatar

New York City's new LLM-powered chatbot (chat.nyc.gov) is happy to help you with all sorts of questions.

For example, how to go about opening a butcher shop for cannibals on the Upper East Side.

No, really:

appassionato , to bookstodon group
@appassionato@mastodon.social avatar

The Book of Chatbots: From ELIZA to ChatGPT by Robert Ciesla, 2024

The Book of Chatbots is both a retrospective and a review of current artificial intelligence-driven conversational solutions. It explores their appeal to businesses and individuals as well as their greater social aspects, including the impact on academia. The book explains all relevant concepts for readers with no previous knowledge in these topics.

@bookstodon



Primitive software chatbots emerged in the 1960s, evolving swiftly through the decades and becoming able to provide engaging human-to-computer interactions sometime in the 1990s. Today, conversational technology is ubiquitous in many homes. Paired with web-searching abilities and neural networking, modern chatbots are capable of many tasks and are a major driving force behind machine learning and the quest for strong artificial intelligence, also known as artificial general intelligence (AGI). Sophisticated artificial intelligence is changing the online world as advanced software chatbots can provide customer service, research duties, and assist in healthcare. Modern chatbots have indeed numerous applications ― including those of a malicious nature. They can write our essays, conduct autonomous scams, and potentially influence politics. Unearthing the secrets of virtual assistants such as the (in)famous ChatGPT and many other exciting technologies, The Book of Chatbots is meant for anyone interested in the topic, laypeople and IT-enthusiasts alike.
ALT
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    • maugendre , to Climate - truthful information about climate, related activism and politics. French
    @maugendre@mas.to avatar

    "Préconisation G12
    IMPACT ENVIRONNEMENTAL DE L’IA GÉNÉRATIVE
    Il est nécessaire de développer une métrique de l’empreinte environnementale des systèmes d’IA générative et des modèles de fondation et exiger plus de transparence sur les effets sur l’environnement de la part des concepteurs." [C'est tout : aucun développement.]

    https://www.ccne-ethique.fr/publications/avis-7-du-cnpen-systemes-dintelligence-artificielle-generative-enjeux-dethique @ia @climate

    estelle , to random
    @estelle@techhub.social avatar

    The terrible human toll in Gaza has many causes.
    A chilling investigation by +972 highlights efficiency:

    1. An engineer: “When a 3-year-old girl is killed in a home in Gaza, it’s because someone in the army decided it wasn’t a big deal for her to be killed.”

    2. An AI outputs "100 targets a day". Like a factory with murder delivery:

    "According to the investigation, another reason for the large number of targets, and the extensive harm to civilian life in Gaza, is the widespread use of a system called “Habsora” (“The Gospel”), which is largely built on artificial intelligence and can “generate” targets almost automatically at a rate that far exceeds what was previously possible. This AI system, as described by a former intelligence officer, essentially facilitates a “mass assassination factory.”"

    1. "The third is “power targets,” which includes high-rises and residential towers in the heart of cities, and public buildings such as universities, banks, and government offices."

    🧶

    estelle OP ,
    @estelle@techhub.social avatar

    In 2019, the Israeli army created a special unit to create targets with the help of generative AI. Its objective: volume, volume, volume.
    The effects on civilians (harm, suffering, death) are not a priority: https://www.972mag.com/mass-assassination-factory-israel-calculated-bombing-gaza/

    @ethics @sociology @ai @psychology @socialpsych @dataGovernance @data

    “This is a machine that, with the help of AI, processes a lot of data better and faster than any human, and translates it into targets for attack,” Kochavi went on. “The result was that in Operation Guardian of the Walls [in 2021], from the moment this machine was activated, it generated 100 new targets every day. You see, in the past there were times in Gaza when we would create 50 targets per year. And here the machine produced 100 targets in one day.” “We prepare the targets automatically and work according to a checklist,” one of the sources who worked in the new Targets Administrative Division told +972 and Local Call. “It really is like a factory. We work quickly and there is no time to delve deep into the target. The view is that we are judged according to how many targets we manage to generate.”
    ALT
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