Salamander

  • 4 Posts
  • 45 Comments
Joined 3 years ago
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Cake day: December 19th, 2021

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  • 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





  • 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!
    

  • I did not know of the term “open washing” before reading this article. Unfortunately it does seem like the pending EU legislation on AI has created a strong incentive for companies to do their best to dilute the term and benefit from the regulations.

    There are some paragraphs in the article that illustrate the point nicely:

    In 2024, the AI landscape will be shaken up by the EU’s AI Act, the world’s first comprehensive AI law, with a projected impact on science and society comparable to GDPR. Fostering open source driven innovation is one of the aims of this legislation. This means it will be putting legal weight on the term “open source”, creating only stronger incentives for lobbying operations driven by corporate interests to water down its definition.

    […] Under the latest version of the Act, providers of AI models “under a free and open licence” are exempted from the requirement to “draw up and keep up-to-date the technical documentation of the model, including its training and testing process and the results of its evaluation, which shall contain, at a minimum, the elements set out in Annex IXa” (Article 52c:1a). Instead, they would face a much vaguer requirement to “draw up and make publicly available a sufficiently detailed summary about the content used for training of the general-purpose AI model according to a template provided by the AI Office” (Article 52c:1d).

    If this exemption or one like it stays in place, it will have two important effects: (i) attaining open source status becomes highly attractive to any generative AI provider, as it provides a way to escape some of the most onerous requirements of technical documentation and the attendant scientific and legal scrutiny; (ii) an as-yet unspecified template (and the AI Office managing it) will become the focus of intense lobbying efforts from multiple stakeholders (e.g., [12]). Figuring out what constitutes a “sufficiently detailed summary” will literally become a million dollar question.

    Thank you for pointing out Grayjay, I had not heard of it. I will look into it.





  • If the timing is right, I would bring a mushroom grow bag with mushrooms sprouting.

    If not… probably my radiacode gamma spectrometer and some of my radioactive items. Maybe a clock with radium painted dials and a piece of trinitite. I think that there are many different points of discussion that can be of interest to a broad audience (radioactivity, spectroscopy, electronics, US labor law story of the radium girls, nuclear explosions, background radiation… etc). As a bonus I can bring a UV flash light and show the radium fluorescence. Adults love UV flash lights.


  • I am also quite interested in this. It is not something that keeps me awake at night, and I am not particularly paranoid about it. But I find that working towards answering this question is a fun frame from which to learn about electronics, radio communications, and networking.

    Since this appears to be something that is causing you some anxiety, I think it is better if I start by giving you some reassurance in that I have not yet managed to prove that any electronic device is spying on me via a hidden chip. I don’t think it is worth being paranoid about this.

    I can explain some things that could be done to test whether a Linux computer spying. I am not suggesting that you try any of this. I am explaining this to you so that you can get some reassurance in the fact that, if devices were spying on us in this manner, it is likely that someone would have noticed by now.

    The “spy” chip needs some way to communicate. One way a chip might communicate is via radio waves. So, the first step would be to remove the WiFi and Bluetooth dongles and any other pieces of hardware that may emit radio waves during normal operation. There is a tool called a “Spectrum Analyzer” that can be used to capture the presence of specific radio frequencies. These devices are now relatively affordable, like the tinySA, which can measure the presence of radio frequencies of up to 6 GHz.

    One can make a Faraday cage, for example, by wrapping the PC with a copper-nickel coated polyester fabric to isolate the PC from the radio waves that are coming from the environment. The spectrum analyzer antennas can be placed right next to the PC and the device is left to measure continuously over several days. A script can monitor the output and keep a record of any RF signals.

    Since phones are small, it is even easier to wrap them in the copper-nickel polyester fabric alongside with the spectrum analyzer antenna to check whether they emit any RF when they are off or in airplane mode with the WiFi and Bluetooth turned off.

    What this experiment may allow you to conclude is that the spy chip is not communicating frequently with the external world via radio frequencies, at least not with frequencies <= 6 GHz.

    Using frequencies higher 6 GHz for a low-power chip is not going be an effective method of transmitting a signal very far away. The chip could remain hidden and only emit the signal under certain rare conditions, or in response to a trigger. We can’t rule that out with this experiment, but it is unlikely.

    A next step would be to test a wired connection. It could be that the spy chip can transmit the data over the internet. One can place a VPN Gateway in between their PC and the router, and use that gateway to route all the traffic to their own server using WireGuard. All network packets that leave through the PC’s ethernet connection can be captured and examined this way using Wireshark or tcpdump.

    If one can show that the device is not secretly communicating via RF nor via the internet, I think it is unlikely that the device is spying on them.





  • I ordered four of the simpler devices this weekend (LilyGO T3-S3 LoRa 868MHz - SX1262) and I have been reading about antennas.

    Since I live in a city I am not super optimistic about the range. But I am still very curious about the concept, and I would love to be surprised.

    After doing some search about antennas, I have decided to test the following combination:

    I also have a vector network analyzer (LiteVNA) that can be used for checking antennas, so I will also try to build some antennas myself. I doubt that my custom antennas will approach the performance of the professional ones… But I just find it such a cool concept.

    Have you already gotten to play with it? What is your experience so far?



  • Sure.

    If I make my own AI image generator and create a nice image with it, or use some AI engine that gives me full ownership of the output, I can choose to share it online with whatever license I want to share it with. I don’t see why the regular copyright rules for digital images and photographs would not hold… If someone shares their AI creation online and wants others to share with attribution, or not share at all, what is wrong with that?

    I can take a ton of photos of objects with my phone, upload them to Flickr, and they are all copyrighted. That doesn’t mean that other’s can simply take similar photos if they wish to do so. The same with AI. One can decide whether to share with attribution, pay someone to let them use it, or to generate the image themselves using AI. It does not seem like a problem to me.



  • I wouldn’t use this language myself because I am not ready to defend that it is reasonable to apply the Universal Declaration of Human Rights in this context.

    I think that they might be referring to Article 1, and possibly 5.

    If this is their interpretation, then calling someone a worthless piece of trash is also a violation. You are talking to another human being as if they have less dignity, and you are treating them in a cruel and degrading manner.