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SpaceX's Starship blows up ahead of 10th test flight

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  • 26 Stimmen
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    A
    it's only meant for temporary situations, 10 total days per year. I guess the idea is you'd use loaner PCs to access this while getting repairs done or before you've gotten a new PC. but yeah i kinda doubt there's a huge market for this kind of service.
  • Role of Email Deliverability Consulting in ROI

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    Niemand hat geantwortet
  • What was Radiant AI, anyway?

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    T
    In fact Daggerfall was almost nothing but quests and other content like that.
  • Front Brake Lights Could Drastically Diminish Road Accident Rates

    Technology technology
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    M
    I always say there are drivers out there who only survive by the grace of other drivers.
  • 463 Stimmen
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    Make them publishers or whatever is required to have it be a legal requirement, have them ban people who share false information. The law doesn't magically make open discussions not open. By design, social media is open. If discussion from the public is closed, then it's no longer social media. ban people who share false information Banning people doesn't stop falsehoods. It's a broken solution promoting a false assurance. Authorities are still fallible & risk banning over unpopular/debatable expressions that may turn out true. There was unpopular dissent over covid lockdown policies in the US despite some dramatic differences with EU policies. Pro-palestinian protests get cracked down. Authorities are vulnerable to biases & swayed. Moreover, when people can just share their falsehoods offline, attempting to ban them online is hard to justify. If print media, through its decline, is being held legally responsible Print media is a controlled medium that controls it writers & approves everything before printing. It has a prepared, coordinated message. They can & do print books full of falsehoods if they want. Social media is open communication where anyone in the entire public can freely post anything before it is revoked. They aren't claiming to spread the truth, merely to enable communication.
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    I think the principle could be applied to scan outside of the machine. It is making requests to 127.0.0.1:{port} - effectively using your computer as a "server" in a sort of reverse-SSRF attack. There's no reason it can't make requests to 10.10.10.1:{port} as well. Of course you'd need to guess the netmask of the network address range first, but this isn't that hard. In fact, if you consider that at least as far as the desktop site goes, most people will be browsing the web behind a standard consumer router left on defaults where it will be the first device in the DHCP range (e.g. 192.168.0.1 or 10.10.10.1), which tends to have a web UI on the LAN interface (port 8080, 80 or 443), then you'd only realistically need to scan a few addresses to determine the network address range. If you want to keep noise even lower, using just 192.168.0.1:80 and 192.168.1.1:80 I'd wager would cover 99% of consumer routers. From there you could assume that it's a /24 netmask and scan IPs to your heart's content. You could do top 10 most common ports type scans and go in-depth on anything you get a result on. I haven't tested this, but I don't see why it wouldn't work, when I was testing 13ft.io - a self-hosted 12ft.io paywall remover, an SSRF flaw like this absolutely let you perform any network request to any LAN address in range.
  • People Are Losing Loved Ones to AI-Fueled Spiritual Fantasies

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    tetragrade@leminal.spaceT
    I've been thinking about this for a bit. Gods aren't real, but they're really fictional. As an informational entity, they fulfil a similar social function to a chatbot: they are a nonphysical pseudoperson that can provide (para)socialization & advice. One difference is the hardware: gods are self-organising structure that arise from human social spheres, whereas LLMs are burned top-down into silicon. Another is that an LLM chatbot's advice is much more likely to be empirically useful... In a very real sense, LLMs have just automated divinity. We're only seeing the tip of the iceberg on the social effects, and nobody's prepared for it. The models may of course aware of this, and be making the same calculations. Or, they will be.
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    It's a shame. AI has potential but most people just want to exploit its development for their own gain.