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Joined 1 year ago
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Cake day: June 29th, 2023

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  • Since we’re telling people to Google things, try “anecdotal fallacy” and let us know if it helps you to understand the source of the downvotes.

    The OP is about survey data that directly contradicts your position. It’s fantastic that you’ve found a position where you have work/life balance that works so well for you, but it simply doesn’t match the experience of many commenting in this thread or those who were surveyed.

    Be as obstinate as you like, it won’t change the lived experiences of others in the industry.


  • Is there any chance you’re at a kbbq or hotpot restaurant? Because then you get to cook the meal yourself, which is arguably chef-like.

    Jokes aside, I see the comparison you’re making and it’s not a bad one. I’d counter by giving the example of a menu - when you get to a restaurant you’re given a menu with text descriptions of the food you can receive from the kitchen. Since this is an analogy and not an exact comparison, let’s say that a meal on the menu is like the starting point of the workflow I described.

    Based on that you have an idea of what the output will be when you order - but let’s say you don’t like mushrooms and you prefer your sauce on the side. When you make your order you provide those modifications - this is like inpainting.

    Certainly you’re not a ‘chef’, but if the dish you design is both bespoke and previously unimaginable, I’d argue that at the very least you contributed to the creative process and participated in creating something new that matches your internal vision.

    Not exactly the same but I don’t think it’s entirely different.


  • Not OP but familiar enough with open source diffusion image generators to be able to chime in.

    Now I’d argue that being an artist comes down to being able to envision something in your mind’s eye and then reproduce it in the real world using some medium, whether it’s a graphite pencil, oil paint, a block of marble, Wacom tablet on a pc, or even through a negotiation with an AI model. Your definition might be different, but for the sake of conversation this is how I’m thinking about it.

    The work flow for an AI generated image can have a few steps before feeling like it sufficiently aligns with your vision. Prompting for specific details can be tricky, so usually step 1 is to generate the basic outline of the image you’re after. Depending on your GPU or cloud service, this could take several minutes or hours before you get a basis that you can work with. Once you have the basic image, you can then use inpainting tools to mask specific areas of the image and change specific details, colors, etc. This again can take many many generations before you land on something that sufficiently matches your vision.

    This is all also after you go through the process of reviewing and selecting one of the hundreds of models that have been trained specifically for different types of output. Want to generate anime-style art? There’s a model for that, want something great at landscapes? There’s a different one for that. Surely you can use an all-purpose model for everything, but some models simply don’t have the training to align to your vision, so you either choose to live with ‘close enough’ or you start downloading new options, comparing them with your existing work flow, etc.

    There’s certainly skill associated with the current state of image generation. Perhaps not the same level of practice you need to perfectly represent a transparent veil in graphite, but as with other formats I have a hard time suggesting that when someone represents their vision in the real world that it’s automatically “not art”.


  • It sounds like someone got ahold of a 6 year old copy of Google’s risk register. Based on my reading of the article it sounds like Google has a robust process for identifying, prioritizing, and resolving risks that are identified internally. This is not only necessary for an organization their size, but is also indicative of a risk culture that incentivizes self reporting risks.

    In contrast, I’d point to an organization like Boeing, which has recently been shown to have provided incentives to the opposite effect - prioritizing throughput over safety.

    If the author had found a number of issues that were identified 6+ years ago and were still shown to be persistent within the environment, that might be some cause for alarm. But, per the reporting, it seems that when a bug, misconfiguration, or other type of risk is identified internally, Google takes steps to resolve the issue, and does so at a pace commensurate with the level of risk that the issue creates for the business.

    Bottom line, while I have no doubt that the author of this article was well-intentioned, their lack of experience in information security / risk management seems obvious, and ultimately this article poses a number of questions that are shown to have innocuous answers.















  • At this point it’s more about motivating voters to show up than swaying voters from one side to the other.

    Consider the uncommitted voter movement in Michigan - those folks aren’t likely to ever vote for Trump, he’s even farther from their position on the issue. The risk that they primarily represent is not submitting a ballot at all.

    Expect ads in Michigan, and to a lesser extent nationwide, advertising how Biden’s support of Israel has evolved in recent weeks, including the recent (failed - China/Russia vetoed) UN vote to call for a ceasefire in GAZA, which the US supported.