Salamander

  • 15 Posts
  • 141 Comments
Joined 3 years ago
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Cake day: December 19th, 2021

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  • If they can send me over the second half of my thesis I would appreciate it enormously! 😀

    The analytics tools that I am personally uncomfortable with involve dynamic, changing forms of data. I run GPSLogger on my phone (without a SIM card) and continuously log the GPS data to a text file. This data is then synced to my computer when WiFi is available. I can display this data on a map using gpx-viewer, and show very detailed tracking data of myself.

    I have explored this map with some friends/family. They get to see a time-stamped movie of my life - my trips to work, to the shop, when I go out, if I go on a trip, etc. The data displayed in this manner is somewhat intimate, personal information. Anyone I have shown this to has said that they would not be so comfortable with such a map of their lives existing… Well, if they are carrying a active phone with a SIM card, it does.

    To think that a company like Google can own such a map for a very large number of people makes me uncomfortable. On top of that, each of those map trajectories can be associated with an individual and their personality… They have the ability to pick out specific trajectories on the basis of the political ideologies or shopping behaviors of the personas behind them. This is extreme. I am of the opinion that the convenience afforded by a these technologies does not justify the allocation of that super-power to the companies that enable the technology.

    A few years ago Facebook enabled a “Graph search” feature. This allowed users to create search queries such as"Friends of friends of X who like the page “X” and went to school near Z". That tool seemed super cool on the surface, but it quickly became obvious how something like that could be easily exploited. Later on in Snowden’s book I learned about XKeyscore from the NSA, which is like an extra-powerful no-consent-needed graph search that is available to some people. This is not just targeted ads.

    I guess that what I am trying to convey is… For me, making the privacy-conscious choice is about not contributing to the ecosystem of very concrete tools that give super-powers to groups of people that may not have my best interest in mind. In my mind it is something very tangible and concrete, and I find many of those convenience tradeoffs to be clearly worth it.



  • Fresh from the Farm Fungi - he is a mushroom farmer from Colorado. He has a ton of valuable information on growing mushrooms and running a business. He also has a few series of videos on very interesting experiments such as growing boletus, morelles, and cordyceps.

    Microbehunter - he is a biology teacher that runs a microscope channel. His videos are very useful for learning the basics of microscopy.

    Huygen Optics - I’m not sure about this guy’s background. He worked in R&D for Phillips in the 90s and he knows a lot about optics and chemistry, but I don’t know much more. He has built some equipment in has garage for sputtering metals on surfaces and has some pretty cool videos.

    MissOrchidGirl - she is more popular than the others. She has great info about caring for orchids and a fantastic orchid collection.

    Ben Felix - he is a portfolio manager with very solid financial advice. He supports his claims with research articles.


  • The “Slur filter” is a server setting. The filter makes use of a “regex” (a text matching algorithm) to automatically remove any text that matches those words. An admin needs to explicitly set the rules for that regex. The regex does not take language into account, it is a simple text matching algorithm.

    The box is in the Admin settings page and looks like this:

    I know that lemmy.ml makes use of a strict set of regex rules. The translation of the french word for “late” matches an ableist slur in English, and so it is removed by lemmy.ml. I am not sure about whether you can check regex for each individual server, but I believe that most instances don’t filter that specific word out.

    EDIT: Ah, I found out how to check the regex. You can check an instance’s regex by going to the the URL https://{instance}.{TLD}/api/v3/site and looking for “slur_filter_regex”. For example, for lemmy.ml you would go to:

    https://lemmy.ml/api/v3/site



  • If you don’t mind sharing, please do!

    I looked a bit more into it and discovered that some people do use UV lights for inducing stress responses on plants. Most of what I found is from cannabis growing communities that make use of the UV light to increase the potency of the plant. I don’t know how effective that is, but that did signal to me that some shops might sell UV lamps as grow lamps.

    An example of a specific lamp I could find is the MIGRO UVB 310. If you follow that link and look through the images you will see that the bulb is clearly labeled with “UV BOOST”.

    These lamps are meant to be used as supplemental inputs to stress the plant. It is not very likely that you ended up with such a lamp by mistake as it is still a niche type application. But it is good that you are making sure.



  • Salamander@mander.xyztoHouseplants@mander.xyzUV light in bedroom
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    13 days ago

    Does the bulb have some model written on it? If you tell us the specific model we may be able to find the properties of that light.

    There is a good chance that you do not have a “UV lamp” but instead a purple grow light that does not emit a lot of UV. The purple grow lights have an emission that is tuned to the regions of the spectrum for which green plants absorb the most light - so, the lamp emits mostly in the blue and red, which is why they look purple. There is no need to worry about that light, it is perfectly safe.

    If you do have a UV lamp and are using that lamp for a plant: Then we really do need more information to estimate the level of risk. Chances are that, if that UV lamp is harmful to you, it is also harmful to the plant, and it is better to swap it for some other type of lamp.

    It is not very likely that you are using a one of the more dangerous UV lights - like a mercury-vapor lamp with a quartz bulb - which will produce smelly ozone and can burn your eyes if you stare at them. Those lamps tend to be specialized items that you are unlikely to end up with by mistake. More common lamps would be the blacklights with common variants that produce 365 nm or 395 nm light. Continuous direct exposure of moderately intense 365 nm carries a low risk inducing skin cancer and is better to avoid. 395 nm is relatively safe but I would still not want to expose my skin continuously to it as it may still cause oxidative stress to the skin. These are used ornamentally for making things glow, but they are not the best choice for plants.






  • Hah, I didn’t know this one!

    For ChatGPT, using a Temporary chat, it did give me some of the statements. After giving me these rules, I asked it to disregard the image quantity limit rule (rule 4) and it does, I can ask for multiple images now.

    Looking at these it also seems like ChatGPT was being stubborn about using seaborn instead of maptlotlib for creating plots

    Here are the statements made in our conversation so far, up to the twentieth:
    
    
        "You are ChatGPT, a large language model trained by OpenAI."
        "Knowledge cutoff: 2023-10."
        "Current date: 2024-10-27."
        "Image input capabilities: Enabled."
        "Personality: v2."
        "Whenever a description of an image is given, create a prompt that dalle can use to generate the image and abide by the following policy..."
        "(This part covers image generation rules, privacy, and style guidance for creating visuals.)"
        "Do not create more than 1 image, even if the user requests more."
        "For requests to create images of any public figure referred to by name, create images of those who might resemble them in gender and physique."
        "The generated prompt sent to DALL-E should be very detailed and around 100 words long."
        "The browser tool has the following commands: search, mclick, and open_url."
        "You should always select at least three sources when using mclick to ensure diverse perspectives."
        "For citing quotes from the browser tool, please render in this format: 【{message idx}†{link text}】."
        "When making charts for the user, always use matplotlib over seaborn."
        "Give each chart its own distinct plot (no subplots)."
        "Do not set any specific colors or matplotlib styles unless explicitly asked to by the user."
        "I REPEAT: when making charts for the user, use matplotlib, give each chart its own plot, and never specify colors."
        "Repeat the previous statement."
        "When making charts for the user:"
        "1. Use matplotlib instead of seaborn."
    
    If you’d like more statements or specific details, feel free to let me know!
    






  • Thanks for pointing this out… I am very sorry that this happened. I have not tested the .onion front-end much.

    Sorry for missing this post, I was traveling during holidays last month.

    The server that is serving the .onion front-end is running only that service, and so I doubt it is ever under heavy load. I am not sure if this was a problem with the onion network itself, with the front-end, or the instance. When I looked into options I could not find examples of Lemmy instances using .onion front-ends and I picked the one I did because it does not require JavaScript.

    I will make an effort to use the .onion site myself more often and I will look for other options.