Ghidra is a lifesaver for legacy systems that have a bunch of home-spun executables that make bespoke things function and rotate out random technicians over the years, when they fail it is a pain to figure out what they explicitly do, so reverse engineering them is sometimes the only option when a new tool needs to be built that does the same thing but without the parts that are deprecated. I hadn't seen this class before so I look forward to filling in my knowledge gaps around this software, thank you.
Readit Newsstatus200 commented on Debugger Ghidra Class github.com/NationalSecuri... · Posted by u/simonpure
Maybe 5 years ago, I was in a similar place. I had a particularly embarrassing moment at work when it clicked that I just... didn't know the basics. I was, to use an overused term, "mathematically immature".
So I made a commitment: I decided I would work through Khan Academy math for 1-hour a day for 1 year. I started with pre-K [1] (specifically counting) and watched every video and did every single exercise in order. I focused on mastery. I didn't rush myself, and I did not continue until I felt completely confident in the material. I just did this for a year. I think I go through roughly algebra 2. In my mind, it is critical to combine explicit knowledge (watch videos) with tactic knowledge [2] (do exercises). For example, you need to understand what a logarithm is conceptually but you also just need to do problems to get a feel for it. So this is fundamentally different than learning-by-grazing or just reading a book.
I could go on and on, but let me just say that it changed my relationship to math in a deep way.
[1] https://www.khanacademy.org/math/k-8-grades [2] https://commoncog.com/tacit-knowledge-is-a-real-thing/
This is inline with a Zen practice called "beginner's mind", and is so useful in many areas, thank you for this inspiration.
I upvoted something this morning and got an immediate "Are you enjoying Reddit?" popup that was a gateway to leave a review, I am curious if that is related.
status200 commented on Inside the Wuhan lab weeks before Covid thetimes.co.uk/article/in... · Posted by u/ricksunny
> These conspiracy theories lead to a marked rise in violent attacks on anyone of Asian descent in the US,
It should be noted that the statistics don't support the media narrative and there was no wave of white supremacist attacks on Asians.
Here are the stats from New York ("Arrest Statistics by Bias Motivation"): https://www.nyc.gov/site/nypd/stats/reports-analysis/hate-cr...
Which data points are you referencing from your source? There is a spike YOY between 2019 to 2020.
Annual for 2019: 1 out of 420
Annual for 2020: 27 out of 265
Is that not enough of a percentage increase for you? Edit: Apologies for not seeing the other users' replies who have already made this point.
status200 commented on Lawyer who used ChatGPT faces penalty for made up citations nytimes.com/2023/06/08/ny... · Posted by u/ColinWright
"I simply had no idea that ChatGPT was capable of fabricating entire case citations or judicial opinions, especially in a manner that appeared authentic"
This is the main criticism of the service, how did a lawyer miss this talking point?
status200 commented on Apple’s Vision Pro Is a $3,500 Ticket to Nowhere vice.com/en/article/m7bbg... · Posted by u/madmanweb
Immersive FaceTime? How is this going to work well? The person you're talking to will be using their phone/tablet and where is your camera? If you use the continuity camera feature with an iphone, you're going to see their entire face without the headset and they're looking at someone with these goggles on. Not a good user experience IMO.
You scan your face with the headset and the other person sees an avatar that is a scan of your face. Kinda defeats the purpose of "Face"time but I have not used it yet but with the speed of development I could see it improving to the point that the distinction between the avatar and your real face will be hard to tell apart.
Axie Infinity was a pyramid scheme. The fact that in the end it was "hacked" and the funds "disappeared" is highly suspicious. Occam's razor says that they just exit scammed it.
A bit of (neutral) clarification, Axie is still active and is in the top ~60 projects by market cap[0], and the heist was actually linked to North Korean state actors[1]
[0] https://www.coingecko.com/en/coins/axie-infinity [1]https://www.washingtonpost.com/technology/2022/04/14/us-link...
status200 commented on The bill of materials for the Apple headset leaked twitter.com/cixliv/status... · Posted by u/avian
I am really struggling to see how this can succeed. Maybe it will be like Apple Pay, lackluster adoption for a time and then years down the line starts to gain marketshare. Even for me a geek who works in the apple ecosystem with a relatively high paying job who would love to mess with this thing it would be hard for me to justify spending 3k+ on a headset like this. Combine that with the fact that building compelling virtual reality experiences is just difficult, where are the apps going to come from? Maybe I will be totally wrong, I am excited to see it though.
The announcement coming from WWDC makes me think that the first wave is mostly for developers to build on, and then the cheaper/more advanced headsets coming later will be the ones marketed to regular users. I was on the fence until Palmer Luckey gave it a thumbs up, now I am cautiously optimistic.
Deleted Comment
The training data is books and the internet. Unless you believe that every book and every word written online is “truth” then there is no hope that such a model can produce truth. What it can at least do is provide an unfiltered model of its training data, which is interesting but also full of garbage. A better strategy might be to train multiple models with different personas and let them argue with each other.
I suppose I am hoping for something akin to the "wisdom of the crowd" [0]
It would be interesting to have varying personas debate, but then we have to agree on which one is correct (or have a group of 'uncensored' models decide which one they see as more accurate), which sort of brings us right back to where we started.