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Joined 3 years ago
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Cake day: January 22nd, 2024

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  • There’s also all the investment in making using the app addictive with all the little dopamine hits of finding something that might be good every so often at random. So when you do meet someone and you’re bored during the commercials in the from you’re watching, what app would give you a little dopamine hit, yes it’s your favourite dating app, run by the same one company as all the other dating apps.


  • I knew a couple of people who studied in continental Europe under the Erasmus scheme before Brexit, and the far right were always claiming during the referendum campaign that the EU would never chuck the UK out of anything because we’re so awesome and they need us and our money so much. Turns out there’s a limit to how much a club misses its most loudly critical influential member.

    So amongst Europhile Brits, Erasmus means young people’s opportunities to study abroad first, and name from history that it honours second. I might not have heard of Erasmus if it weren’t for the Erasmus scheme, and I had to check just now whether he was a historical figure or someone from Greek mythology. Awesome surname for a person in real life to have, though.


  • Luna did not reach the decision entirely unprompted. Conversation logs between the lab and Luna show that the agent had created an attendance policy but later lost track of it, allowing the employee’s lateness to continue for months. Andon Labs eventually asked Luna to search her memory for its policies and assess whether the worker was still a good fit.

    Luna agreed that the employee should be let go.

    Petersson added. “But what we’ve seen in this experiment is not that the AI would be more ruthless or be worse for the employee in that decision.”

    No, what we’ve seen is the LLM not actually doing the managing, and just agreeing with a human prompting it.

    LLMs are excellent at agreeing with the people promting them.

    I have no idea whether $100k is a sensible budget for starting a store, but they note that it isn’t profitable.




  • Sorry, I see that as a cookie wall, not a pay wall.

    So yes, you have to accept cookies to read the article, but you don’t have to give them your credit card info, and American sites just set cookies anyway.

    You should use a browser that lets you burn tabs’ cookies if you’re worried about it. (That’s what I do.) Alternatively get an ad blocker. My browser does its own ad blocking. It lets “sponsored” articles through, and similarly spoken ads included by the author in podcasts and videos but I don’t see Google’s ads on YouTube with it.

    Browser fingerprinting is real and google and other advertisers track you whether you allow cookies or not.




  • Yes, it did, and that’s what I suspected, but I saw other possible interpretations and ironically, I didn’t want to assume. Sorry for being annoying. I only meant any of this for fun and didn’t mean to offend or frustrate you.

    I was hoping your reply would be something like “am woman” in which case I was planning to tell you that in real life it feels like a majority of the women that I thought were really really cool but who I didn’t feel inclined towards romantically turned out to be uninterested in my entire gender romantically, so I was going to assume that you are also really cool even though my maths teacher was very insistent that correlation does not imply causation.

    I assert that your “I have good news for your wife, then!” answer fits with my correlation.

    If your reply was “you’re really rubbish at flirting” I was planning on responding with “everybody wins”.

    I was hoping to come up with something amusingly self deprecating if it was along the lines of “I’m specifically not interested in you”, but I hadn’t got as far as thinking through that answer, hoping it wasn’t that.

    As you can see I’m not all that great at this social interaction thing. Genuinely sorry to have annoyed you.





  • "To address this class of risk, we use a defense-in-depth strategy with safeguards that block malicious instructions at multiple points and help keep tasks aligned with users’ requests,” Microsoft said.

    Keep talks aligned with users’ requests?!? We’re doomed!

    “We encourage customers to install the latest updates, use multiple layers of security protection, treat content from unknown sources with caution, and review AI-generated content before using or sharing it.”

    No, no you don’t, you encourage customers to spend more to give copilot access to all of SharePoint and all of Exchange, so they can replace human competency, human expertise and long standing employees with copilot until they’re dependent on your ever-pricier subscription and you can raise prices until you recover your vast and incomprehensible LLM losses from your customers.

    “Separating instructions from data may be part of the solution, but I think the distinction between data and instructions is not always clear in real-world workflows. For example, a user may ask an agent to arrange a business trip, requiring the agent to retrieve an email specifying the approved itinerary and a document containing the booking procedure,” Måløy [vulnerability researcher and discloser] said.

    Or you could hire a PA, who wouldn’t spread the already live copilot worm.

    A bunch of security experts note that distinguishing between instructions and data is a solved problem with SQL injection attacks, but completely unsolved in LLMs:

    “None of them are rewarding that work commercially right now, so treat that as a multi-year research problem, not something a CISO should wait on.”

    Is this a minor technical issue or a major problem? It’s a major problem.

    Mike Wilkes, enterprise CISO at Aikido Security, said it would be difficult to overstate the potential problems from this situation.