You will probably find the best info on their website. Basically it uses ML to analyze tons of market factors and boils it down to a risk score. When the risk is lower, I am comfortable to DCA more, when the risk is higher I convert a little bit back to fiat to DCA back in later. Used it for about a year and works well so far for me at least, accumulated more than I would have done without it.
That’s actually my point. They are scanning the data to check which data is sensitive with algorithms. And those produce data again, which may then be gathered by the government. This data then may filtered and categorized. So in this context, fully homeopathic encryption may backfire hard and just swinging around with word like AI and ML is just marketing slang for trust as bro !
They use AI and ML do secure the sensitive data of the students. Sounds like a marketing text for me. Just encrypt everything, where in this case would ML and AI help to secure sensitive data ? Are we checking first which data is sensitive? Seems like a lot of smoke for a really small fire
AI/ML has had tons of use cases for a long time, the current hype is more about LLMs and similar. E.g. text-to-speech/speech-to-text, computer vision, most real time video filters, song and text detection, machine translation, all that stuff has used machine learning for ages.
>u/Peach-555 yes it did! I told someone else further down I think but I'm a bit into ML so I found it being discussed on a ML subreddit, got on the private waiting list, and then they made it public in early 2022 i think. Back then it was called moonindex haha :)
Coinbase is happy to lie to get their way, they have zero incentive to be honest about this lol But yeah, I guarantee you the SEC isn't costing the US millions of jobs, and VC interest in crypto has dropped off a cliff everywhere not just the US (because they've moved on to AI/ML hype).
tldr; Kasikornbank (KBank), the second-largest bank in Thailand, has launched a $100 million fund called KXVC to invest in artificial intelligence (AI), Web3, and Deep Tech startups in the Asia-Pacific region. The fund will focus on consumer-focused AI, cybersecurity, AI/ML tools, and problem-specific AI startups. KBank plans to invest in over 30 startups and funds globally, with a focus on the United States, European Union, Israel, and APAC. This move follows KBank's previous ventures into decentralized finance (DeFi) and blockchain-based B2B solutions. *This summary is auto generated by a bot and not meant to replace reading the original article. As always, DYOR.
This does make a lot of sense. You run an AI farm with 1000s of GPUs. A customer pays $20 to lease 300 of them to generate art. At the end of the month the customer files a chargeback with Visa, and now the AI farm is out that money but also out their GPU time. The service was delivered in real time, settlement should be in near-real time as well for this to work. Even people who hate crypto can't disagree that it provides settlement assurances. None of that 'net 30/60/90' bullshit in the Trad world makes any sense when paying for any AI/LLM/ML.
> in theory at least, result in an increase to the price. Why? Supply means coins that people are interested in selling at a given price, not just newly minted coins (that a miner may not even sell right away either). And when supply goes down, that doesn't mean price goes up unless demand is fixed or increases independently. Where is the demand supposed to come from? VC interest is lower than it's been in 7+ years and falling as they've moved on to AI/ML, most consumers have heard of it by now and already made up their mind, and high interest rates discourage speculative investments (interest rates were low during all previous runs).
Why would price go up if most people want nothing to do with it? Especially as speculative investment drops significantly as interest rates go up - cryptocurrency has never before had an environment with high interest rates. VC investment is also way, way down even compared to past bear "cycles". They're all moving on to AI/ML.
Even not taking into consideration other important aspects - if you believe a linear model is well suited for this type of problem you should reconsider both your ML knowledge and Finance logic. And why don't you use models that are suited for this kind of problem? Like ARIMA, SARIMA, PROPHET? Finally, did you at some point randomize test and train data? (Splitting randomly data)?
Yea, that is why I asked for them to lay it out. People see big $ + “crypto” novel and just shout money laundering. This would be one of the dumbest ways to ML ever, that t shirt collection is a one of a kind item getting media attention lol.
>More than 30% of respondents claimed that using AI and ML has increased their annual revenue by more than 10%, while over 25% of the surveyees stated that AI has helped them reduce their annual working costs by more than 10% This probably means that companies fired some people already. So it is about: \- better data processing with their tools and machine-learning \- systems are enhancing their security (in the same way AI could be potentionally used to actually breach that security, but ok) \-solving the issue of liquidity fragmentation (I honestly have no idea if this could work, then the price starts dumping, I don't think that AI can save it)
tldr; Artificial intelligence (AI) and machine learning (ML) are increasingly being used in the financial sector, with over 75% of companies in the industry applying these technologies to optimize their operations. AI has helped financial firms improve prediction models, increase annual revenue, and reduce working costs. ML-based tools are being used to analyze risk and predict short-term price movements in cryptocurrency trading. AI-enabled platforms also enhance security capabilities by providing real-time threat feeds and detecting attacks. AI can address liquidity issues in the crypto market by predicting digital asset order book prices and enhancing liquidity reserves. Sentiment analysis powered by AI allows businesses to understand customer sentiments in real time and personalize marketing efforts. These technologies have the potential to reshape global finance and should be utilized by major financial institutions. *This summary is auto generated by a bot and not meant to replace reading the original article. As always, DYOR. Try our free crypto chatbot at https://chat.coinfeeds.io*
Because it was never about the tech, and anyone who claims it is is either a liar or very naive. The only reason 99.9% of people put money in this is because they think line go up and can sell it to someone else for more later. But that someone else is just someone doing the same thing you did. You no longer have cheap money from low interest rates - unlike any prior point in cryptocurrency history. The economic situation is very different now compared to the previous decade. You have a dwindling pool of new potential users - hard to get much more mainstream than Superbowl ads, and most people now see it as a scam or have more important things to spend money on. VC investment is rapidly drying up because they've realized AI/ML has more plausible use cases. Etc.
CC Daily Thread Comment Count Day|Count :--|:--| Aug 22|7906| Aug 23|7985 Aug 24|7031 Aug 25|7529 Aug 26|6559 Aug 27|6577 Aug 28|5417 Month|Count :--|:--| June|60477 July|92776 Aug|178944 * The 30 day average for comments is currently sitting at 6179 and is the highest average we've had in over a year. This is now the longest sustained growth period in the last year, surpassing April. * See [here](https://i.imgur.com/J1ML2mM.png) for a broader overview. * Also, new [community tool](https://www.reddit.com/comments/15wtpyg) I made now available to help maximize Moon earnings before the upcoming snapshot. Happy farming 🌕✨️
Technologies fail too. A better example from the 80s would be "what if expert systems don't take off?" (spoiler: they did not). The closest thing to them that became actually useful was the AI/ML booms of the 2010s and today, but the underlying technology is completely different - a bit like comparing a horse-drawn carriage to a bullet train and saying they're both methods of transportation.
tldr; The article discusses the importance of effective crypto advertising in today's digital economy. It covers various topics such as understanding the crypto market, the advantages of crypto advertising, legal and regulatory aspects, challenges, best practices, and the future of crypto advertising. The article emphasizes the need for transparency, compliance with regulations, and building trust with potential investors. It also explores the potential of blockchain technology, tokenized ad models, programmatic advertising, privacy and personalization, NFT marketing, and the role of AI and ML in the future of crypto advertising. The article concludes by highlighting the opportunities and challenges in advertising in the web3 era and the importance of targeting the right audience and staying compliant with regulations. *This summary is auto generated by a bot and not meant to replace reading the original article. As always, DYOR. Try our free crypto chatbot at https://chat.coinfeeds.io*
>The procedure moves through the state space consisting of different header parameters and, through a composition of ML and mathematical methods, thereby searches and selects portions of the state space for which the hashes will be processed. This approach avoids processing a large number of hashes, obtaining the result in less time. This is patent bullshit. Probably designed to scam some investors.
Make an exchange account with a legitimate exchange such as Coinbase or Kraken to sell for fiat currency of your choice and withdraw to your bank. This doesn’t add up at all. You are sports betting with bitcoin and you don’t know how to buy or sell it for cash? How did you get that much to make 1.2M to begin with? You are either getting scammed, are lying or are too stupid to be doing what you are doing and should quit while you are ahead. Keep in mind if this is true and these Bitcoin were acquired illegally or proceeds of crime/ML they will be flagged as potentially at risk when you try to convert to fiat.
AI is a linguistic attack. People think the word has a certain meaning. People selling ML or DG love the word, because it drums up investment and buxx. And that meaning is pretty magical. Fiction taught us that AI is a superhuman computer brain. It can solve problems we cannot. It has psychic powers. It can predict the future and alter reality. But there is no "artificial intelligence". There is nothing even close. People worshiping AI are like primitive cave men worshiping a jack-in-the-box as their god.
There is no logical intersection between AI and crypto, anything that claims to be putting the two together is a grifter, full-stop. The closest you can get is that maybe you're using ML for a trading bot or something, but if that's the case and it actually works why the fuck do they need _your_ money?
It's possible to get staking rewards of 10% or more, but it's important to do your research before you commit to any staking platform. Some platforms, like Stargate, offer higher rewards, but they may also have higher risks. It's important to weigh the risks and rewards before you make a decision. I am avoiding staking right now as it is risky in thin liquidity and because it can be difficult to sell your staked tokens if you need to. This is because there may not be enough buyers in the market, which can lead to low prices. I would grab some low-cap projects related to AI (hot narratives) like NumerAI, FetchAI, and FluidAI (a liquidity aggregator with ML prediction algorithms and AI infrastructure).
Thank you for your reply! You are absolutely right, the unreliability of humans is a real thorn in this idea’s side. In your opinion, do you think it would be possible to do a top-down review of the various differing statistics with an eye to finding the most likely response of all the answers given? I know this may seem a bit out of nowhere but an Islamic researcher made a ML algorithm to determine if your crypto is haram or not. Thing with Islam is they’ve got a shit tonne of clerics all saying different things all the time, and in within different cultural bubbles spanning the globe. The guy claims the algorithm is able to take the inputs of all these different clerics to find a middle ground. I may be wrong but I’m assuming it’s weighting them somehow, assessing them all together and coming to a middle ground/most likely solution. Long story short, I wonder if something like this could be done for, say, the different intelligence reporters across a conflict, mixing the stats provided with weighting based on their various biases or operational shortfalls?
My full face and eye scans aren't tied to other personal data? My dude, do you hear yourself. It's intrinsically tied to *all* of my personal data. > It doesn't matter how malicious the Orb device is, there is nothing for it to get. What's the word for the opposite of paranoid? Gullible? Like do you think the orb is just a fancy camera? Their own webpage claims it's running ML models locally so it's a pretty advanced device, or is just straight up attached to a computer running the software. Speaking of which, the software for it hasn't been open sourced, and even if it were, you would need to verify the actual device and software being used, every time, which they absolutely will not let anyone do given that it's being used out of some facility and doesn't belong to the individual being scanned. Because it's not just the wallet app running on your phone like you seem to imply, there's a whole separate Orb software stack that, again, has not had its source disclosed and two, even if it did it would be all but impossible to verify that it's the same source that's running on the device at whatever facility. You might think it 'doesn't matter' how malicious the orb is but that's... gullible. As a supposed cryptographer you really should know better. I guess your specialty is more in math than the actual workings of computers or software.
Ad fraud, which includes bot traffic, click fraud, and many other fraudulent activities, is a pervasive problem that has been plaguing the advertising industry for years. Online advertising fraud resulted in the loss of more than $80 billion in ad spend in 2022 alone, and it’s projected to grow to over $100 billion in 2023. However, recent advancements in artificial intelligence (AI) and machine learning (ML) have spurred the innovation of essential tools for identifying and preventing advertising fraud in all its forms. These technologies enable advertisers to detect and prevent fraudulent activities in real-time, ultimately saving them significant amounts of money and safeguarding their reputations in the process. Just incase that is of use to you thats what they are about ❤❤
I have a good friend I've known dince elementary school. Even though we now live in different countries I consider him to be one of my best friends. He works in academia in astrophysics, and he uses a lot ML models and programming for his work. I have virtually zero coding experience. When I got into crypto what I told him was "it's programmable, composable money" and managed some of my DeFi positions while he watched for a couple minutes. It clicked for him then and there. We both made a bunch from airdrops with almost zero investment aside from gas money, and now we make bi monthly Discord calls to manage joint strategies.
tldr; Grocery chains are embracing digital transformation in their cold chain operations to reduce time to shelf and spoilage. One example is the partnership between Morpheus.Network and Federated Co-operatives Limited (FCL), a Canada-based cooperative. FCL operates as a business-to-business entity, connecting hundreds of suppliers through its warehouses. Morpheus.Network's supply chain solution has helped FCL streamline supplier document management and ensure food safety and regulatory compliance. The platform integrates technologies like blockchain, OCR, and ML to provide transparency and efficiency throughout the supply chain. Through automation and proactive notifications, FCL can optimize its supply chain and ensure continuous compliance. The adoption of digital transformation in grocery retail enhances cold chain operations, reduces spoilage, and improves overall supply chain efficiency. It also provides consumers with detailed information about product origin and sustainability, fostering trust and loyalty. Embracing digital transformation in the grocery industry is crucial for long-term success and staying competitive. By partnering with innovative companies and leveraging automation, blockchain, and advanced analytics, grocery retailers can optimize their supply chains, reduce waste, and meet the evolving demands of consumers. *This summary is auto generated by a bot and not meant to replace reading the original article. As always, DYOR.*
Solid list, I can’t deny that. I’ll add FLD to the AI list. It’s a liquidity aggregator with an AI based smart order router and a price prediction solution powered by ML and deep learning algorithms. For games, I’ll also add Elfin Kingdom. The graphics is top tier and that’s in addition to the gameplay as well. I’m also looking into Dex platforms with GMX getting most of my attention so far.
The TGE is set to be announced anytime soon, what I enjoy the most about it is it's ability to aggregate prices across various chains and security provision. ​ It's price prediction model with the use of AI and ML technology as well has me interested, if you like AI projects then check FLD, OCEAN and FET as well.
I can see this. Reward schemes for participating in federated ML setups for instance, or sharing data, etc. Doing this with fiat would be a pain in the backside. With crypto it would be simple. Essentially an ML version of what Folding@Home does with Banano.
While I suspect it may pump a bit purely on the grounds that people expect it to, there's really no reason to expect a new ATH. There is no reason to expect the halving to lead to a new ATH, and people pushing that are pretty much exclusively going off "but it happened last time" with absolutely zero regard to context. 1. The mythos around the "cycle" that is built up in crypto circles is based on a pretty small amount of data if you consider the time frames of long-term economic trends. 2. Interest rates are higher than at any prior period in cryptocurrency history 3. Economic situation in general is much slower / less inclined to speculative investment than it was at any point in the last decade. 4. Cryptocurrencies already hit mainstream awareness in '21. You don't get much more mainstream visibility than literal superbowl ads. At this point, most people's minds are already made up, and if you venture outside the cryptocurrency bubble, you'll find most people don't think highly of it. This again was not the case for any prior "bull run" 5. Investor / VC hype has already moved on to AI/ML 6. As someone who works in tech, more senior engineers than not remain skeptical or openly critical of the technology in any form. 7. Climate change becoming harder to deny means there is even more scrutiny on the energy waste and e-waste of bitcoin - and like it or not, bitcoin is the standard bearer for cryptocurrencies in the eyes of the public. 8. Even the previous run in '21 probably wouldn't happened or been significantly smaller without pandemic + stimulus money. Etc.
There is no reason to expect the halving to lead to a new ATH. 1. The mythos around the "cycle" that is built up in crypto circles is based on a pretty small amount of data if you consider the time frames of long-term economic trends. 2. Interest rates are higher than at any prior period in cryptocurrency history 3. Economic situation in general is much slower / less inclined to speculative investment than it was at any point in the last decade. 4. Cryptocurrencies already hit mainstream awareness in '21. You don't get much more mainstream visibility than literal superbowl ads. At this point, most people's minds are already made up, and if you venture outside the cryptocurrency bubble, you'll find most people don't think highly of it. 5. Investor / VC hype has already moved on to AI/ML 6. As someone who works in tech, more senior engineers than not remain skeptical or openly critical of the technology in any form.
Reddit and Twitter realizing that they are not sole owner of users data. Only one who could directly monetize users were reddit and twitter, create and offer adspace. But now same data can be used for ML. Funny thing is, they already have deployed tools to capture value. For example /r/cc has reddit moons. Each subreddit could sell their users data for their subreddit specific currency. Users win, reddit wins. Will they realize that ? Time will tell
AI/ML has been in use for quite awhile now. The current hype is largely due to how accessible some of it is now to the general public. There was actually a similar hype cycle around it about a decade ago, albeit much smaller and mostly constrained to within the industry. E.g. a lot of the advances in computer vision, text-to-speech/speech-to-text, and machine translation over the last decade are due to advances in machine learning.
Anticipating a non-zero risk is much better than kicking it down the track imo. Yes it might be 10+ years but given the progress in machine learning and transformers in general I wouldn't be surprised to find that timeframe rapidly decreases. Closed source and finetuned ML models are extremely capable at solving complex problems and they do so far greater than anything GPT4 puts out. It has barely been a year since GPT became mainstream. Diffusion models for image and video is much the same. A year ago the best you could get was a garbled mess that looked sort of like an artwork or image. Now it's nearly indistinguishable. My point here is, ml and diffusion models weren't a part of broader life a year ago, quantum COULD do the same but it would start non-public.
>This is clearly bot behavior. But why? Who is doing it, why only target those specific subs, and why hasn't Reddit done anything about it yet? Anyone want to speculate? With the explosion of LLMs like ChatGPT and all this code being written to make them into autonomous agents, I would not even be the least bit surprised if we're seeing one or more of the following: 1) Propaganda, push your shit coins or policy you want implemented 2) Misinformation, take out competition, similar to propaganda really 3) Scraping behavior for sentiment analysis or for training models to invest or similar In fact Im sure all of these things are going on. Scrapers, arbitrage bots, and other kinds like login abuse bots already are responsible for >50% of internet traffic. With generative AI (ML really, AI is misnomer) it's now at the point people can post stuff that looks like a human made it too, so it's another fraud or attack surface made possible by tech.
How can we know where the bottom is? Use your own time machine. Or webscrape all the posts over the last days, see if there is a correlation between the sentiment score (that you make an algorithm for) and the price action of top 10 coins, then use a machine learning model you have trained with 19 PB of data to predict bottom, then use another ML you have trained with 100 PB of ML data about predicting trend reversals to predict the prediction
To ensure an efficient supply chain in the future, real-time data, AI, and ML play vital roles in predicting outcomes and addressing challenges like the bullwhip effect. If taken into account, Ocean can prove to be a valuable resource in achieving these objectives.
They are separate products but they are also integrated. In terms of audits, all transactions on bitcoin are public so if payments are enabled on site through these protocols they are completely transparent by nature. “Google Cloud offers seamless connectors to key data sources like Google Ads, Google Analytics 360, Campaign Manager, etc. Connect your first-party data like CRM, sales, product, customer service, social and more, for a holistic view of marketing analytics in a connected platform. Easily build AI models from this consolidated data with built-in machine learning tools like BigQuery ML and Vertex AI.”
I hate how the scammers putting AI in their names get more attention than genuine AI-related projects. OCEAN founder was [talking about AI](https://twitter.com/oceanprotocol/status/1661779706411200524?s=46&t=h_DUuDw1VRD-Kb0LEIzPrg) since 2016, which eventually led to the creation of Ocean in 2019 to leverage the opportunities, starting with creating a decentralized data marketplace. Considering that data is the bedrock of AI and ML models. Lots of tremendous progress has been made since then.
The biggest hype I see now is coming from GameFi, AI, ML, and LSDs. I was looking for the GameFi stats these days and over 1M UAW and 8 billion on-chain game transactions looks a lot to me. I still playing Axie and testing new ones like Elfin Kingdom, Star Atlas, Ember Sword, etc. I only see a real problem with the hype when it comes without anything to back it. AI is revolutionizing, and the same for ML, GameFi is rising again. But (there is always a but) some tokens start to hype out of the blue without any clear reason why.
Less shit tokens and more utility projects, especially in terms of AI and ML. Looking at OCEAN and the projects on Shipyard gives a feel of what to expect. I personally think the space will naturally mature away from this current meme phase.
For clarity to all the non ML folks, "impenetrable" means "we don't know how it works, and if there is a bug or set of circumstances that makes it go completely haywire, we wont know until after - and even then, we won't know how to fix it or what caused it in the first place."
The fact that he's talking about the federal reserve and corporate monopolies capturing both media and government agencies and directing policies will [make him a popular candidate](https://www.msn.com/en-us/news/politics/over-half-of-democrats-back-rfk-jr-s-challenge-to-biden/ar-AA19ML2X) among people in the left who still hold progressive values. [Bitcoin is the real occupy wall street](https://www.youtube.com/shorts/BFFwzBuqCiQ) [A Progressive's Case for Bitcoin](https://www.amazon.com/Progressives-Case-Bitcoin-Equitable-Peaceful/dp/B0C1J3DC2X)
One thing you'll notice is that the only successful traders are 17 year olds with trading discords. Ask yourself why that is... Another point, after 2010, almost all big banks removed their human trading departments. Can people have an edge? yeah, but someone sitting at a screen is not one of those people. It requires ML, AI, etc., models to be successful. And the successful models are not open sourced. The other way to do it is through early information
There's also a lot to do about IMF refusing to provide bailout loans to crypto friendly countries. It's very much about aligning with those who can potentially bail you out, and this ML and terror financing seems more like an excuse
MintLayer comes to mind for me personally, although there’s plenty like RSK, Sovyrn. ML is a sidechain that's pumping up the Bitcoin ecosystem with smart contracts and DeFi, all without messing with the sacred Bitcoin core protocol. They also have a nice consensus protocol combo (DPoS + PoA) for quick transactions and low fees. It's pretty useful for Bitcoin in terms of side chains. Worth checking out.
tldr; 5 min read - At this year’s National Association of Broadcasters (NAB) convention, the IBM sports and entertainment team accepted an Emmy® Award for its advancements in curating sports highlights through artificial intelligence (AI) and machine learning (ML). The Technology & Engineering Emmy awards… *This summary is auto generated by a bot and not meant to replace reading the original article. As always, DYOR.*
Curious why you believe so? I’ve worked in cloud computing AI/ML for 10 years so I know a thing or two. And before you say CGPT, know that LLM and Predictive Modeling have been employed for a long time. It’s just been internal tooling purposes, so this isn’t like we’re discovering fire for the first time - it’s more like we showed the neighboring tribe fire for the first time
>It can also bolster blockchain network integrity by detecting and preventing fraudulent activities. Machine learning (ML) algorithms analyze transaction data to identify suspicious behavior and flag potentially malicious actors. Well this is great ! Since Audits can't always predict the ways in which a malicious actor may attack.
Keep pushing! Looking for more projects that are discovering, exploring, and innovating within AI and ML. Come check us out! [https://archangeltoken.com/artificial-intelligence/](https://archangeltoken.com/artificial-intelligence/)
Just like there are fundamental differences between communists, socialists, ML, market socialists, etc. No one said all neo liberals are the same. But they are both neoliberals that believe in monetarism which is a core tenant of Neoliberalism. Same way socialists would argue about semantics with market socialists about what markets should be regulated.
Sure, but you'd still expect to see _some_ real adoption by now outside of other cryptocurrency projects (or things directly adjacent), especially by more software-focused companies. For comparison, look at how many companies have mad eserious efforts to incorporate AI/ML. The modern wave of ML advancements is arguably only a bit younger than cryptocurrencies (early 2010s).
Thanks mate! It’s just a hunch from my side - still good to see that I’m not the only one having it. I guess it’s too early for all the implications of the likely explosion of ML-generated content to manifest, let alone the emergence of rules how to deal with it. It’s going to be an interesting ride in any case and I’m glad to be along. The sentiment here however seems pretty negative. Not really sure if this is more of a backlash from the current hype or genuine reasoning. I’m a bit surprised though by the general lack of argument. I’d ask an AI if I didn’t know that they just regurgitate what they read ;) So, thanks for your perspective!
That’s one of the thoughts I had. Like the printing press was facilitated by the availability of paper instead of the much more expensive vellum. How are ML and crypto complementing each other? I’ll look into exponential age theory. Thx.
Hear you. I’m a researcher/manager in power and chemical engineering - a bit unusually I’m leaning towards programming and also have an uncommonly broad perspective in consulting across neighboring industries. I guess the main reason I was invited is that they don’t know anyone specifically in the ML area they could have asked, but they still wanted to have some trendy topic slightly off the beaten path. I’m happy to oblige.
You could touch the topic of ML systems acting as market prediction assistants in general; there are a couple of big data companies that have launched products like this. Another topic is, as you said, a proof or originality in regards to digital art, although digital art in general has been the target of theft since its birth, it wasn't AI that prompted this need. Crypto AI is just a buzzword, no real worth there.
Do you have the bitcoin and Lightning node applications installed? You need to fund your bitcoin node. Then you’ll open Lightning channels to other peers. You can find swaps to join at [LN+](https://lightningnetwork.plus/). Or you can use [1ML.com](https://1ml.com/) or [amboss.space](https://amboss.space/) to find other nodes to connect to. Note you’ll need to open channels of considerable size to actually earn full sats. 5-10 million sat channels should be your target minimum. Also look for good routing partners.
Ai is going to touch all sectors one way or another and so it will be used in the crypto sphere too, on the front end. Ai coins are bullshit though. Though I am wondering if an "proof of ai" type of securing transaction is possible. Like using ai/machine learning to secure chains, fight attacks etc. Maybe using ML/ai to filter out bugs in contracts or filter out scam coins etc. Which can be implemented on a dex to warn people or something like that. On the back end i have no doubt ai will accelerate (or already does!) The development of crypto and blockchain technology.
ML and AI are sides of the same coin. What you think of AI then is the interface to ask questions but the tech behind it is machine learning. AI is already being used by millions, it already has its use cases. It won't be long until service desk like jobs are (partially) replaced by AIs.
Got it. People are dumb, I agree. But if we think the summary of that is useless, then we think this entire sub is useless. I think the majority of people that dislike ChatGPT and ML, in general, aren’t operating with valid information. As an example, I would rather read a ChatGPT summary of any useful crypto topic than see 10-30 posts per day for Bitcoin going up by $500, and 10-30 per day about it going down by $500. The reality is that bots *and* dumb humans are upvoting these shit posts. 50 posts about SBF and FTX per day, after the first week (months ago) haven’t been useful at all, either. So, people are really emotional over these software generated summaries, even though they have better content than the majority of posts here. Just trying to understand.