Hopps 11 months ago • 100%
Dual power refers to a situation where two separate governing bodies or authorities coexist within a single country or region, each claiming legitimacy and competing for control or influence. This typically emerges during periods of political or social upheaval when an alternative power structure is established alongside the existing one. The idea is that by building alternative institutions or systems, people can challenge and eventually replace the current dominant power structures.
Hopps 12 months ago • 100%
On Android the Firefox app allows the use of extensions including all the adblock options you would find on PC. Works great and for YouTube as well.
Hopps 12 months ago • 100%
Poltergeist
Hopps 12 months ago • 100%
According to the lore, demons are fallen angels so you can keep this narrative going
Hopps 12 months ago • 100%
I had Lyme Disease and it sucked, felt like a zombie walking through a sick foggy dream world until I got antibiotics. Luckily I noticed pretty quick it was from a deer tick. I hope your pupper gets treated and has a full recovery 😁
Hopps 1 year ago • 100%
Haha I can hear the sad music now, while slaying away those Elder Willows. There was something almost meditative about collecting those DB's.
At one point I set up a bot to collect them, he grinded away so long on those that I swear he reached somewhere in the 90's for his level
Hopps 1 year ago • 100%
Your username gave me some major nostalgia. I think I played iRO like nearly 20 years ago! Even rolled a Super Novice lol
Hopps 1 year ago • 75%
omg this got me off hard*
FTFY
Hopps 1 year ago • 100%
You're correct, the entire system is already in place. The only thing that is currently missing is adding up all of someone's 'karma' from their their posts and having it shown on their profile. Some of the apps already have this implemented since it's easy to incorporate.
Hopps 1 year ago • 100%
This is a great summary of the fall of Elon Musk. I admired him too years ago until he went off the rails. RIP to the better decisions and the their benefits that this man could have made.
Hopps 1 year ago • 100%
I hope there's an option to see the upvotes as well as downvotes rather than just the total. That's one thing I've liked about Jerboa so far that other apps aren't doing.
Hopps 1 year ago • 100%
Always has bean
Hopps 1 year ago • 100%
Your modded color scheme and that splash screen 👌
Hopps 1 year ago • 100%
I agree, we are still making important renewable advancements that are being used more and more.
Hopps 1 year ago • 100%
The problem is that at any point we could have dealt with it, but greed seems to be preventing that to the point that we may need a miracle tech breakthrough that is so great, that fixing this issue would be trivial.
Hopps 1 year ago • 114%
F
Hopps 1 year ago • 100%
It hurts my soul knowing all of this useful content was removed from reddit.
I've moved on to Lemmy, but I'm having a hard time removing everything from reddit. I know with so many people removing their old posts/replies that it will definitely hurt reddit, so many googled content won't be there.
It would be cool if we could transfer our old posts here in some sort of meaningful way, but I don't see how that could happen in a way that makes sense.
Hopps 1 year ago • 100%
It got me yesterday too man, still recovering. I was zen'd out of my mind.
Hopps 1 year ago • 97%
In case you're wondering why all the down votes, it's because of this concept:
https://ploum.net/2023-06-23-how-to-kill-decentralised-networks.html
Edit: Heres a summary I had in another post.
Summary:
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The Fediverse is a decentralized network of servers communicating through the ActivityPub protocol.
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Large corporations like Google and Microsoft have a history of either trying to control or make decentralized networks irrelevant.
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Google joined the XMPP federation initially but implemented their own closed version, causing compatibility issues and slowing down the development of XMPP.
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Eventually, Google stopped federating with other XMPP servers, leading to a decline in XMPP's popularity and growth.
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Microsoft used similar tactics to hinder competing projects, such as the Samba network file system and open source office suites like OpenOffice and LibreOffice.
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The strategy involves extending protocols or developing new ones to deny entry to open source projects.
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Proprietary formats and complicated specifications are used to maintain dominance in markets.
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Meta's potential entry into the Fediverse raises concerns as it could lead to fragmentation and a loss of freedom.
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The Fediverse should focus on its values of freedom, ethics, and non-commercialism to avoid being co-opted by large corporations.
How a new federated decentralized platform can avoid this fate:
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Stay true to the principles: The platform should prioritize and uphold the values of freedom, openness, and decentralization.
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Develop open and robust protocols: Use open standards and ensure the protocol's specifications are transparent, well-documented, and not controlled by a single entity.
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Foster a strong community: Encourage collaboration, participation, and diversity within the community to avoid reliance on any single company or organization.
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Emphasize user control: Give users control over their data and privacy, allowing them to choose which servers and communities to join and ensuring their content is not subject to corporate surveillance.
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Focus on user experience: Create a user-friendly interface and provide features that attract and retain users, making it easy for them to engage and connect with others.
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Avoid centralization of power: Design the platform in a way that distributes authority and influence across the network, preventing any single entity from gaining too much control.
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Promote interoperability: Support compatibility with other decentralized platforms and protocols to encourage communication and collaboration across different networks.
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Educate and raise awareness: Educate users about the benefits of decentralized platforms, the risks of centralized control, and the importance of supporting independent, community-driven initiatives.
By following these principles, a new federated decentralized platform can strive to maintain its integrity, preserve user freedom, and resist the influence of large corporations seeking to control or make it irrelevant.
Hopps 1 year ago • 100%
You can message me though as I'll be on my phone the whole time I'm in there.
Hopps 1 year ago • 100%
This is a work of art. Take my upbean.
Hopps 1 year ago • 100%
I think I'm gonna need some of that arcane medicine to get jumpstarted here.
Hopps 1 year ago • 100%
I'm the comment that parrots the above comments right before the 'load more comments..' link.
Hopps 1 year ago • 100%
I'm really looking forward to SDXL. I'm curious about the fact that it's two models working together for the final output and how that will affect creating custom models and scripts for it.
Hopps 1 year ago • 100%
I was expecting the DK rap :(
Hopps 1 year ago • 100%
These look great! Was this done with MJ?
Hopps 1 year ago • 100%
You're right, what am I talking about. Updates relationship status: In a Federationship
Hopps 1 year ago • 100%
That's a bit much, I'm not looking to get into a relationship here. /s
Hopps 1 year ago • 100%
Can we just take a moment to acknowledge just how far away this horse actually was. During the GameCube era video game studios weren't afraid to say that they would put a horse far away in a game and actually deliver that.
These days it's all half-promises with pre order trailers hinting at far away horses. But when it's time to deliver all we get is 'our servers were overwhelmed by the huge numbers of players logging in, so we have to temporarily put the horse right in front of your face - we promise we will fix it soon!'
The fix never comes, the horse is never far away.
I miss the old days, it was a different time back then.
Hopps 1 year ago • 100%
Based on my research, there is an emerging interest in the field of meta-learning, or "learning to learn." Some researchers are exploring the concept of allowing neural networks to learn their own hyperparameters, which could include parameters of activation functions. However, it's my understanding that this approach could lead to more complex training processes and risks such as unstable gradients, and it might not always result in significantly better performance.
While activation functions with learnable parameters aren't commonly used, there is ongoing research that explores them. One such example is the Parametric ReLU (PReLU) function - a variant of the ReLU activation function that allows the negative slope to be learned during training, as opposed to being a predetermined hyperparameter.
In my opinion, if you're new to this field, it's essential to grasp the basics of neural networks, including understanding how common activation functions like ReLU, sigmoid, tanh, etc., operate. These advanced concepts are undoubtedly fascinating and might offer incremental improvements, but even most of today's state-of-the-art models primarily use these "standard" activation functions. So, starting with a solid foundation is key.
> cross-posted from: https://lemmy.world/post/937094 > > > - There are no circulating copies of the album online and it cannot be commercially exploited until 2103, but it can be played at listening parties. > > > > - It took about six years to record, with features from the entire Wu-Tang Clan, Redman, Cher, and even FC Barcelona soccer players and a Game of Thrones actress. > > > > - The album is unique with only one physical copy in existence, making it the most expensive work of music ever sold. > > > > - The album was bought by Turing Pharmaceuticals CEO, Martin Shkreli, for $2 million, who later lost it when his assets were seized following his conviction for securities fraud. > > > > - In 2021, it was bought by PleasrDAO, a non-fungible token (NFT) collectors' group, for $4 million to cover Shkreli's debts. PleasrDAO hopes to make it more accessible within the confines of 'listening parties'. > >
> - There are no circulating copies of the album online and it cannot be commercially exploited until 2103, but it can be played at listening parties. > > - It took about six years to record, with features from the entire Wu-Tang Clan, Redman, Cher, and even FC Barcelona soccer players and a Game of Thrones actress. > > - The album is unique with only one physical copy in existence, making it the most expensive work of music ever sold. > > - The album was bought by Turing Pharmaceuticals CEO, Martin Shkreli, for $2 million, who later lost it when his assets were seized following his conviction for securities fraud. > > - In 2021, it was bought by PleasrDAO, a non-fungible token (NFT) collectors' group, for $4 million to cover Shkreli's debts. PleasrDAO hopes to make it more accessible within the confines of 'listening parties'. >
> - There are no circulating copies of the album online and it cannot be commercially exploited until 2103, but it can be played at listening parties. > > - It took about six years to record, with features from the entire Wu-Tang Clan, Redman, Cher, and even FC Barcelona soccer players and a Game of Thrones actress. > > - The album is unique with only one physical copy in existence, making it the most expensive work of music ever sold. > > - The album was bought by Turing Pharmaceuticals CEO, Martin Shkreli, for $2 million, who later lost it when his assets were seized following his conviction for securities fraud. > > - In 2021, it was bought by PleasrDAO, a non-fungible token (NFT) collectors' group, for $4 million to cover Shkreli's debts. PleasrDAO hopes to make it more accessible within the confines of 'listening parties'. >
- There are no circulating copies of the album online and it cannot be commercially exploited until 2103, but it can be played at listening parties. - It took about six years to record, with features from the entire Wu-Tang Clan, Redman, Cher, and even FC Barcelona soccer players and a Game of Thrones actress. - The album is unique with only one physical copy in existence, making it the most expensive work of music ever sold. - The album was bought by Turing Pharmaceuticals CEO, Martin Shkreli, for $2 million, who later lost it when his assets were seized following his conviction for securities fraud. - In 2021, it was bought by PleasrDAO, a non-fungible token (NFT) collectors' group, for $4 million to cover Shkreli's debts. PleasrDAO hopes to make it more accessible within the confines of 'listening parties'.
Hopps 1 year ago • 100%
It's okay, I thought they were mini-lightsabers
Hopps 1 year ago • 100%
The plugin you are mentioning is based on dislikes and yes it is very inaccurate. The one I mentioned works off of the ratio between the likes vs the view count so the accuracy is always there, it's a different way of going about it.
I agree that YouTube just needs to bring the dislike count back, it's a pain trying to find these alternative ways to know if a video is good when the data is there. It's so greedy of them, outright harming user experience for profit.
Hopps 1 year ago • 66%
I second that, it's been very useful for coding/debugging for me too. And the cool part is that it's only going to get better.
Hopps 1 year ago • 83%
I have been using GPT4 as a Google replacement and it's been working out fairly well.
Hopps 1 year ago • 100%
Ever since dislikes were removed I use a plugin that shows the ratio of likes to views to determine if a video is worth watching.
Most of the time if the likes to views is >= 2% then it's an okay vid.
TLDR Summary: - MIT researchers developed a 350-million-parameter self-training entailment model to enhance smaller language models' capabilities, outperforming larger models with 137 to 175 billion parameters without human-generated labels. - The researchers enhanced the model's performance using 'self-training,' where it learns from its own predictions, reducing human supervision and outperforming models like Google's LaMDA, FLAN, and GPT models. - They developed an algorithm called 'SimPLE' to review and correct noisy or incorrect labels generated during self-training, improving the quality of self-generated labels and model robustness. - This approach addresses inefficiency and privacy issues of larger AI models while retaining high performance. They used 'textual entailment' to train these models, improving their adaptability to different tasks without additional training. - By reformulating natural language understanding tasks like sentiment analysis and news classification as entailment tasks, the model's applications were expanded. - While the model showed limitations in multi-class classification tasks, the research still presents an efficient method for training large language models, potentially reshaping AI and machine learning.
TLDR summary: 1. Researchers at MIT and Tufts University have developed an AI model called ConPLex that can screen over 100 million drug compounds in a day to predict their interactions with target proteins. This is much faster than existing computational methods and could significantly speed up the drug discovery process. 2. Most existing computational drug screening methods calculate the 3D structures of proteins and drug molecules, which is very time-consuming. The new ConPLex model uses a language model to analyze amino acid sequences and drug compounds and predict their interactions without needing to calculate 3D structures. 3. The ConPLex model was trained on a database of over 20,000 proteins to learn associations between amino acid sequences and structures. It represents proteins and drug molecules as numerical representations that capture their important features. It can then determine if a drug molecule will bind to a protein based on these numerical representations alone. 4. The researchers enhanced the model using a technique called contrastive learning, in which they trained the model to distinguish real drug-protein interactions from decoys that look similar but do not actually interact. This makes the model less likely to predict false interactions. 5. The researchers tested the model by screening 4,700 drug candidates against 51 protein kinases. Experiments confirmed that 12 of the 19 top hits had strong binding, including 4 with extremely strong binding. The model could be useful for screening drug toxicity and other applications. 6. The new model could significantly reduce drug failure rates and the cost of drug development. It represents a breakthrough in predicting drug-target interactions and could be further improved by incorporating more data and molecular generation methods. 7. The model and data used in this research have been made publicly available for other scientists to use.
A team from Israel has developed an AI model that translates Cuneiform, a 5000-year-old writing system, into English within seconds. This model, developed at Tel Aviv University, uses Neural Machine Translation (NMT) and has fairly good accuracy. Despite the complexity of the language and age, the AI was successfully trained and can now help to uncover the mysteries of the past. You can try an early demo of this model on The Babylon Engine and its source code is available on GitHub on Akkademia and the Colaboratory.
Hey there! I've started a new machine learning community and it's ready for fresh voices and perspectives! Right now, it's just me and a couple of posts, but I'm excited to see where we can take this with your input. All experience levels are welcome. Whether you want to discuss the latest in ML, ask questions, or simply learn, this is the place. [Come, be among the first contributors and let's shape this community together!](/c/machinelearning@lemmy.world)
Meta AI has revealed their first AI model, I-JEPA, which learns by comparing abstract representations of images, not the pixels. This self-supervised learning model fills in knowledge gaps in a way that mirrors human perception. I-JEPA is adaptable and efficient, offering robust performance even with a less complex model. Excitingly, the code for this pioneering technology is open-source. [Check it out on GitHub!](https://github.com/facebookresearch/ijepa)
When I'm at the main lemmy.world page, at the top of the page new posts are popping up as I'm trying to browse posts - is there any way to stop this?