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Social Forum federato con il resto del mondo. Non contano le istanze, contano le persone

Se lo dice lui gli credo sulla parola........🤦‍♀️Meta non ci ascolta tramite il microfono, la smentita di Mosseri

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Gli ultimi otto messaggi ricevuti dalla Federazione
  • Piantedosi: “Iran, pronti a difenderci. Nostre barriere efficaci”


    @informatica
    “Lo scoppio della guerra ci ha sollecitato direttamente e ci ha subito allertati. Abbiamo affrontato da subito uno scenario di rischi, con annesse contromisure per difendere i luoghi sensibili. Siamo pronti a difenderci”. Lo ha detto Matteo Piantedosi, Ministro dell’Interno, nel suo

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  • @lysander @ju @filobus @tleilax
    Sicuramente c'è un vantaggio: poco lavoro per raccoglierle! Soprattutto se l'alternativa è coltivarle in un terreno con un discreto tenore in argilla (=olio di gomito)

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  • @riley
    It goes well beyond that.
    It is accurate enough that it can enable a person to "see" your fingers move on your keyboard as you enter a password.

    They don't even need to use your WiFi to spy on you. They can use a travel router or similar device to "see" you in your home.

    https://arxiv.org/pdf/2103.14918

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  • Well, that's scary.

    A team of researchers at UC Santa Cruz’s Baskin School of Engineering that included Professor of Computer Science and Engineering Katia Obraczka, Ph.D. student Nayan Bhatia, and high school student and visiting researcher Pranay Kocheta designed a system for accurately measuring heart rate that combines low-cost WiFi devices with a machine learning algorithm.

    WiFi devices push out radio frequency waves into physical space around them and toward a receiving device, typically a computer or phone. As the waves pass through objects in space, some of the wave is absorbed into those objects, causing mathematically detectable changes in the wave.

    Pulse-Fi uses a WiFi transmitter and receiver, which runs Pulse-Fi’s signal processing and machine learning algorithm. They trained the algorithm to distinguish even the faintest variations in signal caused by a human heart beat by filtering out all other changes to the signal in the environment or caused by activity like movement.

    The "machine learning" part probably does not really matter, except possibly for the exploratory and prototyping phases of the work. Once we know tht the low-resolution signal is there, hidden in the high-frequency raw data, the signal can be filtered out by some combination of old-fashioned and fairly cheap DSP techniques. Even if fancy machine learning has detected some sort of useful regulatory patterns in the context of building the prototype, I'm confident that these patterns can be replicated by some sort of much simpler feedback system.

    A computer can potentially make a lot of interesting uses of being able to observe its human user's biological processes, particularly including real-time stress response, like that. Some of these interesting uses will be very, very, abusive.

    (Source: https://news.ucsc.edu/2025/09/pulse-fi-wifi-heart-rate/.)

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  • @repubblica @economia-la-repubblica-repubblica maledetti...e noi non arriviamo a fine mese!

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  • @gian_d_gian
    Bella sperimentazione, dev'essere piaciuta ai ragazzi 👍🏻

    Io uso un sistema simile perché ho tanto spazio ma poco tempo per lavorare la terra.
    Per cui smuovo solo leggermente la superficie, aspetto piova, appoggio le patate e copro con almeno 10cm di fieno ben compattato.
    Così riesco a fare in un'oretta due filari da 12-15 metri, con una cinquantina di patate.

    Prima di provare direttamente su terra avevo sperimentato varie combinazioni in vaso (fieno, cartone, foglie, cippato), sempre con risultati discreti.

    Rispetto a quando le coltivavo in terra, con tutta la lavorazione richiesta, il vantaggio è notevole.
    Anche la qualità del suolo, che viene meno "ribaltato".
    La produttività è leggermente inferiore ma, tutto considerato, mi trovo _molto_ meglio con questo metodo.

    @lysander
    @ju
    @filobus

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  • CINEMATOGRAFIA QUEER (@cinematoqueer.bsky.social)

    https://bsky.app/profile/cinematoqueer.bsky.social/post/3mgaevtszgk23

    > Taylor Zakhar Perez para a VMAN. 📸🔥

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  • The world of technology is shifting rapidly, and so is the world of media, creators and journalism. It's hard to keep up with, and even harder to predict.

    My strong belief, though, is that open software that you own and control is going to be even more important and relevant in the future than it is now.

    So we're going to keep building it.

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Post suggeriti
  • 0 Votes
    2 Posts
    9 Views
    @rospeinfrantumi #NOaNOrdio
  • 0 Votes
    1 Posts
    9 Views
    2 questions for all that read it:Did you not post or reply much on previous social media? Specifically, out of concerns around data collection.And if so, does that habit still influence how you post on the Fedi?#Question #Fediverse #Fedi #Mastodon #SocialMedia
  • 0 Votes
    1 Posts
    6 Views
    Deleted my WhatsApp account several years ago. Today I got a message from a friend via Signal, why I’m not answering to her messages on fucking WhatsApp. Why can people still send me messages to my deleted WhatsApp account. This is so messed up. Feels like Meta is punishing me for leaving their services. Not sure how many contacts were lost because people thought I’m ghosting them. Wtf. #meta #did #whatsapp
  • 0 Votes
    1 Posts
    11 Views
    Selected highlights: The researchers divided the participants into different groups to test the specific effects of algorithmic personalization. One group served as a control and viewed a random assortment of items with all features available to inspect. Another group engaged in active learning, where they freely chose which categories to study without algorithmic interference. the study measured the participants’ confidence in their decisions using a rating scale from zero to ten. The analysis showed that participants in the personalized groups frequently reported high confidence levels even when their answers were wrong. This effect was particularly distinct when they encountered items from categories they had rarely or never seen during the learning phase. This indicates a disconnection between actual competence and perceived competence caused by the filtered learning environment. The participants were unaware that the algorithm had hidden significant portions of the information landscape from them. They assumed the limited sample they viewed was representative of the whole. The findings provide evidence that the structure of information delivery systems plays a significant role in shaping human cognition. By optimizing for engagement, current algorithms may inadvertently sacrifice the accuracy of user knowledge. This trade-off suggests that online platforms can shape not just what people see, but how they reason about the world.