UraniumBlazer

joined 1 year ago
[–] UraniumBlazer@lemm.ee 1 points 13 hours ago

Naah I like the wide spaces on the left and right. It looks too cluttered otherwise with unnecessary information

[–] UraniumBlazer@lemm.ee 22 points 1 week ago (7 children)

Ok, let's see

  • Fox moderator as verticalgong minister
  • Killmonger as underworld minister
  • Impregnator as health minister
  • Hillbilly as vice president
  • Very wrong theorecist as Justice Minister

Bottom text: Trump's next Reich

Is my translation correct?

[–] UraniumBlazer@lemm.ee 17 points 2 weeks ago (2 children)

It seems that LIDAR based self driving tech (the one that Waymo uses) is miles ahead than 2d camera based tech (the one that Tesla uses).

I'm really excited for this being implemented for city buses. Currently, in lower density areas, there are two choices - have smaller buses with more frequency, or have larger buses with less frequency. The problem with smaller buses is that you need more drivers. The problem with larger buses is that frequency becomes low, thus disincentivizing usage of public transit.

Self driving city buses would be really cool as driver costs would be 0. This would mean, that smaller buses/vans would be able to run at fixed routes at really high frequencies.

[–] UraniumBlazer@lemm.ee 24 points 2 weeks ago (1 children)

WOW that's fucked up.

Naah, I was referring more to the headline, as I believe there would be a positive correlation between married women and kids. Banning women to marry = less kids.

[–] UraniumBlazer@lemm.ee 37 points 2 weeks ago (7 children)

Don't they... have... a... population shortage?

I'm so confused

[–] UraniumBlazer@lemm.ee 4 points 4 weeks ago* (last edited 4 weeks ago)

Wanna bet that it was the Russians?

[–] UraniumBlazer@lemm.ee 183 points 1 month ago (10 children)

Fuck the Indian state and its enablers.

[–] UraniumBlazer@lemm.ee 2 points 1 month ago

I don't understand why the knee jerk reaction for everything is just "ban it".

You want to reduce the exposure of children to predators? Moderate the platforms. We can agree that Reddit n Lemmy's moderation is a lot better than Instagram's moderation. Why don't we start with that???

The biggest way predators do their predatoring is by sliding into ur DMs. You could restrict this by requiring approval for all such new DMs by a parent's account or something. There r just so many ways that social media can be made safer for kids.

Social media is a digital townsquare. Sure, there r some malicious actors lurking about. Does that mean that kids should just be banned from this townsquare? No. The townsquare should be made safer for kids. There must be some hand-holding for kids in the beginning so that they can learn how to make the best use of this infrastructure in the future.

[–] UraniumBlazer@lemm.ee 11 points 1 month ago (12 children)

Governmental overreach. Good luck trying to enforce this shit.

Social media isn't bad inherently. Addictive algorithms, violation of user privacy, etc. is bad.

Kids should be taught how to make use of social media for good. I was bullied quite a lot as a kid. Social media is what kinda brought me out of it.

Social media told 13 year old me, that it is alright to be gay. Social media is what made me interested in politics. A huge part of who I am today is because of the nice people I met online. Fuck the government for trying to take it away from others like me.

[–] UraniumBlazer@lemm.ee -1 points 1 month ago (2 children)

Ok, good luck on your project. We'll talk when any given peertube project (based on the donation based funding model alone) reaches break even.

I swear I've reviewed the finances about this a million times over. Funding models in their current form just don't work. Content creators getting free hosting from YouTube with huge audiences are struggling to keep themselves afloat. But whatever, good luck on your project I suppose. We really need YouTube's monopoly to end, so ¯⁠\⁠_⁠(⁠ツ⁠)⁠_⁠/⁠¯

[–] UraniumBlazer@lemm.ee -2 points 1 month ago (4 children)

Sure! Remember though, that you are funding this project using your own money. How much does your server cost? How much does the electricity to run your server cost? You would need Gbps speed internet. How much does that cost?

You would be funding this out of your own pocket. Thank you for doing that! Would there be a thousand more people willing to do this? What happens if you lose your job? What happens to the server?

As you can see, this is not a technological issue, but a funding one. If you can generate funding for this somehow, you have a very viable model! IF you can find the funding.

I am saying that funding this would be difficult. I see people just yapping about FOSS, but not funding it when the time comes.

[–] UraniumBlazer@lemm.ee 4 points 1 month ago (6 children)

Naah I thought about this before and came to the conclusion that this isn't that bright of an idea. Here's why.

Why's video hosting so expensive in the first place? Because it needs a lot of computational power, storage and bandwidth. All three things that a mobile phone does not have. If you make your client's mobile phone do this stuff, then you're going to slow down their phone, make it heat up more, make it degrade faster (because it would be drawing power from the battery) and take up a huge chunk of their bandwidth.

Think of how video calls drain battery really fast. It's just shifting the costs of hosting from the hosting side to the consumer side while making the entire operation a lot more complicated and a lot more inefficient.

 

Orbit is an LLM addon/extension for Firefox that runs on the Mistral 7B model. It can summarize a given webpage, YouTube videos and so on. You can ask it questions about stuff that's on the page. It is very privacy friendly and does not require any account to sign up.

I personally tried it, and found it to be incredibly useful! I think this is going to be one of my long term addons along with uBlock Origin, Decentraleyes and so on. I would highly recommend checking this out!

 

TLDR: Google's DeepMind has developed a new open sourced AI system called AlphaProteo, which can design novel proteins that bind to target molecules. This technology has the potential to accelerate progress in various fields, including drug development, disease understanding, and diagnosis.

AlphaProteo was trained on vast amounts of protein data and has learned the intricate ways molecules bind to each other. It can generate candidate proteins that bind to target molecules at specific locations, and its designs have been validated through experiments.

The system has shown promising results, achieving higher experimental success rates and better binding affinities than existing methods. It has also been able to design successful protein binders for challenging targets, such as VEGF-A, which is associated with cancer and complications from diabetes.

However, the system is not perfect and has limitations, such as being unable to design successful binders against certain targets. To address these limitations, DeepMind is working to improve and expand AlphaProteo's capabilities.

The development of AlphaProteo raises important questions about responsible development and biosecurity. DeepMind is working with external experts to develop best practices and is committed to sharing its work in a phased approach.

Overall, AlphaProteo has the potential to revolutionize protein design and accelerate progress in various fields, but it requires careful consideration of its limitations and potential risks.

 

Neural networks have become increasingly impressive in recent years, but there's a big catch: we don't really know what they are doing. We give them data and ways to get feedback, and somehow, they learn all kinds of tasks. It would be really useful, especially for safety purposes, to understand what they have learned and how they work after they've been trained. The ultimate goal is not only to understand in broad strokes what they're doing but to precisely reverse engineer the algorithms encoded in their parameters. This is the ambitious goal of mechanistic interpretability. As an introduction to this field, we show how researchers have been able to partly reverse-engineer how InceptionV1, a convolutional neural network, recognizes images.

 

Most states rely on paper bureaucracy to ensure that the state can function and provide services. Paper bureaucracy has been part and parcel of how we maintain states and corporations since the Chinese invented the first paper bureaucracy systems of management 3000 years ago. But as you all probably know, bureaucracy kinda sucks. It costs a lot to maintain, and in the worst cases bureaucracy can turn a state into a labyrinthian monstrosity that can be near to impossible to navigate.

Estonia is a Baltic country that in recent years has been embarking on reform programs that are intended to change this. Estonia is a “Paperless state” meaning a state that has effectively removed all paper from it’s bureaucracy and replaced it with a digital state structure. In this short video I would like to introduce you to the digital state and argue for it.

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submitted 9 months ago* (last edited 9 months ago) by UraniumBlazer@lemm.ee to c/technology@lemmy.world
 

Here are some links from the description of the video:

Try it out: https://huggingface.co/spaces/Tencent... https://huggingface.co/spaces/Tencent...

It is also open source - run it locally: https://github.com/TencentARC/MotionCtrl

 

I was SOOOO WAITING for the Fediverse name drop considering how MUCH they were implying this at the end of the video.

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