Un buon motivo per non iscriversi a Pinterest

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Tutti usano Pinterest, ma quasi nessuno si è preso la briga di leggere con attenzione i termini di utilizzo del social network. Invece, proprio nel caso di Pinterest, è consigliabile dare un’occhiata approfondita ai Terms of Use prima di aprire un account, perché ci sono alcune cose che non tornano.

Pinterest è un sito che appartiene alla società Cold Brew Labs, dove puoi postare anzi “pinnare” le immagini che trovi in giro per la rete su una o più bacheche virtuali chiamate “boards”, e raggruppare le foto che ti piacciono di più sotto i temi più svariati. Tu per esempio puoi creare una board dedicata interamente alle scarpe, e un’altra con tutte le foto del mio cantante preferito. Ma prima di cominciare è bene che tu sappia che quando ti iscrivi a Pinterest accetti automaticamente di attenerti ai termini di utilizzo del network, che sono piuttosto ambigui.

Nell’insieme di norme che regolano i Terms of Use di Pinterest, elencato come Member Content ho trovato questo:

You acknowledge and agree that you are solely responsible for all Member Content that you make available through the Site, Application and Services. Accordingly, you represent and warrant that: (i) you either are the sole and exclusive owner of all Member Content that you make available through the Site, Application and Services or you have all rights, licenses, consents and releases that are necessary to grant to Cold Brew Labs the rights in such Member Content, as contemplated under these Terms; and (ii) neither the Member Content nor your posting, uploading, publication, submission or transmittal of the Member Content or Cold Brew Labs’ use of the Member Content (or any portion thereof) on, through or by means of the Site, Application and the Services will infringe, misappropriate or violate a third party’s patent, copyright, trademark, trade secret, moral rights or other proprietary or intellectual property rights, or rights of publicity or privacy, or result in the violation of any applicable law or regulation.

Per farla breve, il paragrafo dice che quando posti una foto su Pinterest dichiari che sei l’unico e solo proprietario di quell’immagine, o di aver ricevuto espressamente il consenso del proprietario alla pubblicazione, e di conseguenza di non stare violando nessun copyright.

È fondamentale che il copyright sia tuo, perché solo così Pinterest può vendere tutto quello che hai pinnato.

By making available any Member Content through the Site, Application or Services, you hereby grant to Cold Brew Labs a worldwide, irrevocable, perpetual, non-exclusive, transferable, royalty-free license, with the right to sublicense, to use, copy, adapt, modify, distribute, license, sell, transfer, publicly display, publicly perform, transmit, stream, broadcast, access, view, and otherwise exploit such Member Content only on, through or by means of the Site, Application or Services.

Se il copyright non è tuo, allora vuol dire che hai infranto i diritti proprietari di terzi, e la responsabilità non è di Pinterest, ma soltanto tua.

You agree to defend, indemnify, and hold Cold Brew Labs, its officers, directors, employees and agents, harmless from and against any claims, liabilities, damages, losses, and expenses, including, without limitation, reasonable legal and accounting fees, arising out of or in any way connected with (i) your access to or use of the Site, Application, Services or Site Content, (ii) your Member Content, or (iii) your violation of these Terms.

Facciamo un esempio: tu hai pinnato qualcosa che non è tuo, magari proprio la foto del tuo cantante preferito ma scattata da un famoso fotografo. La foto è bella e Pinterest se la rivende. Allora il suddetto fotografo decide di far valere il diritto alla proprietà intellettuale e chiede un indennizzo alla Cold Brew Labs. La società a questo punto se ne lava le mani perché tu hai dichiarato di essere l’unico e solo proprietario della foto. Così alla fine ti ritrovi da solo a pagare i danni e tutte le spese legali.

Ti sembra un’esagerazione? Forse hai già dimenticato cosa è successo con la chiusura di Megaupload.

Via | Knoed

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  50. There’s a ‘ghost hurricane’ in the forecast. It could help predict a real one
    [url=https://www.rcn62.ru/131024/novosti-vasilenko-roman-poslednie-novosti/]анальный секс смотреть[/url]
    A scary-looking weather forecast showing a hurricane hitting the Gulf Coast in the second half of June swirled around social media this week—but don’t panic.

    It’s the season’s first “ghost hurricane.”

    Similar hype plays out every hurricane season, especially at the beginning: A cherry-picked, worst-case-scenario model run goes viral, but more often than not, will never come to fruition.

    Unofficially dubbed “ghost storms” or “ghost hurricanes,” these tropical systems regularly appear in weather models — computer simulations that help meteorologists forecast future conditions — but never seem to manifest in real life.

    The model responsible this week was the Global Forecast System, also known as the GFS or American model, run by the National Oceanic and Atmospheric Administration. It’s one of many used by forecasters around the world.

    All models have known biases or “quirks” where they tend to overpredict or underpredict certain things. The GFS is known to overpredict tropical storms and hurricanes in longer-term forecasts that look more than a week into the future, which leads to these false alarms. The GFS isn’t alone in this — all models struggle to accurately predict tropical activity that far in advance — but it is notorious for doing so.

    For example, the GFS could spit out a prediction for a US hurricane landfall about 10 days from now, only to have that chance completely disappear as the forecast date draws closer. This can occur at any time of the year, but is most frequent during hurricane season — June through November.

    It’s exactly what’s been happening over the past week as forecasters keep an eye out for the first storm of the 2025 Atlantic hurricane season.
    Why so many ghosts?
    No weather forecast model is designed in the exact same way as another, and that’s why each can generate different results with similar data.

    The reason the GFS has more false alarms when looking more than a week out than similar models – like Europe’s ECMWF, Canada’s CMC or the United Kingdom’s UKM – is because that’s exactly what it’s programmed to do, according to Alicia Bentley, the global verification project lead of NOAA’s Environmental Modeling Center.

    The GFS was built with a “weak parameterized cumulus convection scheme,” according to Bentley. In plain language, that means when the GFS thinks there could be thunderstorms developing in an area where tropical systems are possible – over the oceans – it’s more likely to jump to the conclusion that something tropical will develop than to ignore it.

    Other models aren’t built to be quite as sensitive to this phenomenon, and so they don’t show a tropical system until they’re more confident the right conditions are in place, which usually happens when the forecast gets closer in time.

    The western Caribbean Sea is one of the GFS’ favorite places to predict a ghost storm. That’s because of the Central American gyre: a large, disorganized area of showers and thunderstorms that rotates over the region and its surrounding water.

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