Conversations with AI #threadcast (Day 9)
Here I'll be putting some of my conversations with #ChatGPT. I'll put them in both screenshots-form and text form. Mainly to give more data for LeoAI to eat from.
Feel free to use the threadcast to do the same! #freecompliments #cent #ai
1/ 🧵Question - what is app.swapin?
ChatGTP Answer
Swapin is a platform designed to facilitate fast and secure crypto-to-fiat transactions, providing users with a seamless experience to convert cryptocurrencies into traditional currencies like EUR or GBP and send the funds directly to bank accounts. Launched in 2017, it operates as a licensed and regulated payment solution within the EU, supporting over 10 cryptocurrencies and serving customers in 36 countries.
Some of the key features Swapin offers include:
SwapinGet: Converts crypto to fiat and transfers the funds to your bank.
SwapinPay: Allows paying invoices or sending money to SEPA bank accounts using crypto.
SwapinBuy: Lets you buy crypto directly from your bank.
SwapinCollect: Enables businesses to accept crypto, which is immediately converted to fiat.
#ai #chatgtp #freecompliments
2/🧵
Its focus on security, regulatory compliance, and fast transaction speeds (95% of transactions processed within 5 minutes) makes it a popular solution for individuals and businesses looking to bridge the gap between digital assets and traditional finance.
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3/🧵
#ai #chatgtp #freecompliments
1/ 🧵
Question - Do I need to complete KYC to buy/sell crypto on app.swapin?
chatGTP answer -
Yes, to buy or sell crypto on Swapin, you are required to complete a Know Your Customer (KYC) process. Swapin prioritizes security and regulatory compliance, so all users must undergo KYC verification before conducting transactions. The KYC process involves identity verification, which is typically completed in just a few minutes using industry-leading providers like Veriff and Onfido.
This verification ensures that Swapin adheres to international standards and protects against fraud, making it a safe and secure platform for crypto-to-fiat transactions.
#ai #chatgtp #freecompliments
2/🧵
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1/🧵 Form here I can Purchase the Hive crypto?
ChatGTP Answer :
You can purchase Hive (HIVE) crypto through various exchanges that support it. Some popular options include:
Binance: One of the largest global exchanges that supports HIVE trading.
Bittrex: Another reputable exchange where you can trade HIVE.
Huobi Global: Offers HIVE trading pairs, including HIVE/USDT.
CoinEx: Supports HIVE/USDT trading.
ProBit Global: Allows users to trade HIVE.
You'll need to create an account on these platforms, complete any required verification (such as KYC), deposit funds (usually in USDT, BTC, or other major cryptos), and then trade for HIVE.
Once you’ve acquired HIVE, you can withdraw it to your Hive blockchain wallet.
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Screenshot
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1/ 🧵
I asked the Question
what is BBH project on Hive blockchain?
Chat GTP answer ;-
The BBH Project on the Hive blockchain is centered around its own token, BBH, which functions as both a passive income generator and a tipping bot. Holders of BBH tokens receive regular payouts every Saturday, referred to as "Drip Day." The amount distributed depends on the number of tokens held. For example, those with 10 BBH tokens receive a drip of swap.hive tokens, while larger holders (5,000 or more BBH tokens) get additional tokens like Alive, CTP, and LEO.
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2/ 🧵
BBH tokens can be obtained in various ways, including buying them on TribalDex, receiving them through tips (without losing your own tokens), or being gifted by others. Additionally, BBH Miner tokens (BBHM) can be purchased to generate more BBH as part of a mining mechanism(The BBH Project).
The project also runs a Hive-Engine Witness Node, with the long-term goal of making BBH the most profitable income token on Hive.
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3/ 🧵
#ai #chatgtp #freecompliments
Hey, it actually knows about it?!!!
I understand we can ask any questions and post in threadcast..
Is their anything I am missing?
#ai #freecompliments
Yeah, you're doing good.
ok thanks for prompt reply..
!ALIVE
!BBH
#freecompliments
@ahmadmanga! @guurry123 likes your content! so I just sent 1 BBH to your account on behalf of @guurry123. (1/5)
(html comment removed:
)
I am sure @bradleyarrow wrote articles about it.
That is why I keep harping upon this.
It is terrific to see that hive-engine tokens are being recognized. Even though they are not layer 1 to Hive, operating on layer 2, they are still a part of the decentralized ecosystem.
I mean it's recent information, right?
What do you mean? Recent?
Good question, what do I mean recent? I was thinking, how recent was the last update on chatgpt to have this information. But maybe, these posts were written months ago.
...my bad.
I think ChatGPT goes back to April but I might be mistaken.
And yes it is likely a post from a long time ago. That is the advantage of LeoAi, it updates with each new thread (actually I dont believe the others will even see threads).
By the way, not sure the rules there. but a lot of countries consider the data and information on government websites to be public domain. If that is the case, perhaps you can add some on here. That could help with the training.
I don't know what it's like in my country, so I better not.
I have some screenshot to shar, will upload once I will reach home.
#ai #freecompliments
Good job adding to the database. Placing the data right on chain is a big step.
This is from Claude:
What are the restriction on using government data that is posted on websites?
The restrictions on using government data posted on websites can vary depending on the specific country, government agency, and type of data involved. However, I can provide some general information about common practices, particularly focusing on the United States as an example:
Public Domain: In the US, most federal government data is considered to be in the public domain. This means it's generally free to use without restrictions, as taxpayers have already paid for its creation.
Open Data Initiatives: Many governments have open data initiatives that encourage the use and reuse of government data. For example, Data.gov in the US provides access to a wide range of federal datasets intended for public use.
Licenses: Some government agencies may apply specific licenses to their data. These licenses typically allow for broad use but may have some conditions, such as attribution requirements.
Sensitive Information: Despite general openness, there may be restrictions on data that could impact national security, personal privacy, or other sensitive areas.
terms of Service: Government websites often have terms of service that outline how their data can be used. It's important to review these for any specific restrictions.
Commercial Use: While many government datasets are free for commercial use, some may have restrictions or require additional permissions for commercial applications.
Accuracy and liability: Government agencies often provide disclaimers about the accuracy of their data and may limit their liability for any errors or misuse.
Format and Access: There might be technical restrictions related to how you can access or download the data, which could limit certain types of automated data collection.
International Variations: Different countries have varying policies on government data usage. Some are very open, while others may have more restrictions.
Given the complexity and potential variations, it's always best to check the specific terms of use for any government dataset you plan to use. If you're considering using data from a particular government website or for a specific purpose, I'd be happy to help you look for more detailed information about that particular case.
Give me a list of government that consider the data or information they post on government websites as public domain
While many governments are moving towards open data policies, not all of them explicitly declare their data as public domain. Here's a list of some governments that generally consider most of their publicly posted data to be in the public domain or have very permissive open data policies:
United States: Most federal government works are in the public domain by default.
Canada: While not strictly public domain, the Open Government License for Canada is very permissive and similar to public domain dedication for most practical purposes.
New Zealand: Government agencies are encouraged to use Creative Commons licenses, with CC-BY or CC0 (effectively public domain) recommended for data.
Australia: Many Australian government agencies use Creative Commons licenses, with CC-BY recommended, which is close to public domain in terms of reuse rights.
United Kingdom: While not strictly public domain, the Open Government Licence is very permissive and similar to CC-BY.
Netherlands: Much government data is released under CC0 (public domain dedication) or very permissive licenses.
France: Many datasets are released under the "Licence Ouverte" (Open License), which is very permissive and similar to CC-BY.
Mexico: Federal government data is generally considered public domain.
Brazil: Federal government data is generally considered public domain.
Israel: Government data is generally in the public domain, though there may be some exceptions.
It's important to note that even in these countries, there may be exceptions for certain types of data or specific agencies. Additionally, the concept of "public domain" may be interpreted differently in various legal systems.
Also, many other countries have open data policies that, while not explicitly declaring data as public domain, provide very permissive usage rights. Examples include Germany, Sweden, Norway, and Spain.
For the most accurate and up-to-date information, it's always best to check the specific terms of use on the government website you're interested in, as policies can change and there may be variations between different agencies within the same government.
I Prompted ChatGPT: What's a Telegram Mini-App?
Response:
A Telegram Mini App is a lightweight, web-based application that can run within the Telegram app itself. They are built using JavaScript, HTML, and CSS, similar to traditional web apps, and are designed to offer a seamless, interactive experience without the need to leave Telegram. Mini Apps allow developers to integrate services like games, e-commerce, or tools directly into Telegram chats or channels.
They leverage Telegram's Bot API and Web Apps API, allowing developers to create highly interactive interfaces with minimal friction for the user.
I Prompted ChatGPT: Can I make a telegram mini app that lets the user login to HIVE from inside telegram?
Summarized Response: You can create a Telegram Mini App that lets users log in to HIVE by integrating HIVE’s OAuth for authentication. Use Telegram’s Web App API to embed or redirect to HIVE’s login page within the Mini App. Once authenticated, handle the OAuth token securely to make HIVE API calls. Ensure the app communicates over HTTPS for security.
Full response in comments.
Yes, you can build a Telegram Mini App that allows users to log in to HIVE from within Telegram, but it would require several steps:
HIVE OAuth Integration: HIVE supports OAuth for secure login. You'll need to set up HIVE's OAuth flow, allowing users to authenticate with HIVE within the Mini App.
Telegram Mini App Framework: Use Telegram's Web App API to create the Mini App interface. You can embed the HIVE login page in an iframe or redirect users to the HIVE authentication endpoint.
Handle Authorization Flow: Once the user logs in via HIVE, the OAuth callback will provide a token or authorization code. Handle this token in your Mini App and store it securely for making HIVE API calls.
Secure Communication: Ensure secure communication between your Mini App, HIVE, and Telegram by using HTTPS and appropriate token handling mechanisms.
Would you like more detailed guidance on one of these steps?
I Prompted ChatGPT: What's "Head and Shoulder" pattern in finance?
Response:
The "Head and Shoulders" pattern is a technical analysis chart formation used in financial markets to predict a reversal in a price trend. It has two main variations:
This pattern suggests the end of an uptrend and the potential start of a downtrend.
The same pattern, but inverted, indicating the end of a downtrend and the potential for an upward reversal.
I Prompted ChatGPT: ELI5 Tokens and Tokenizations in the AI and LLM space.
Response:
Tokens are small chunks of text that AI models like GPT use to understand and process language. Think of tokens like puzzle pieces that, when put together, form a sentence or piece of text. For example:
Tokenization is the process of breaking down a piece of text into these tokens so that the AI can read and work with it more efficiently. When you send a sentence to an AI, it splits the text into tokens before processing.
In short, tokens are the building blocks AI uses to understand and generate language!
"ELI5" means "Explain Like I'm 5" !
I Prompted ChatGPT: What do they mean when they say "Don't skip the leg day?"
Response: "Don't skip leg day" is a popular phrase in fitness culture that encourages people not to neglect lower body workouts, especially leg exercises. It’s often used humorously to highlight the importance of training the legs just as much as the upper body. Skipping leg workouts can lead to an imbalanced physique, where the upper body becomes stronger or more muscular while the legs remain weaker or underdeveloped. It promotes overall strength, balance, and aesthetics.
I Followed Up: Why is there the word "day" in "Don't skip the leg day" ...?
Response:
The "day" in "Don't skip leg day" refers to the way many workout routines are structured. In these routines, different muscle groups are trained on specific days—commonly known as a "split." For example, one day might be focused on chest and arms, another on back and shoulders, and a separate "leg day" is dedicated to lower body exercises. The phrase emphasizes not skipping the day designated for leg workouts, which can be tough but essential for balanced strength and development.
Below in comments, I'll put various prompts with ChaGPT about compressing videos with
libx265to have MP4 videos encoded withH.265compression.Conversation Summary:
To convert
.mkvfiles to.mp4with H.265 using FFmpeg, you can write a script that runs in a terminal and processes files in the current directory, saving them to a date-named subfolder. To speed up the process, use the-threads 0option to leverage all CPU cores, as FFmpeg doesn't always use all threads by default. You can also use GPU acceleration (e.g.,hevc_nvencfor NVIDIA) for faster encoding or adjust the preset (e.g.,fast) for quicker processing. To run conversions in parallel for multiple files, use GNU Parallel. Quality adjustments can be made using the-crfoption, with values like 21 or 22 providing a balance between quality and file size.I Prompted ChatGPT: In terms of video compression, what's "crf"?
The
-crf(Constant Rate Factor) is a parameter in FFmpeg that controls the quality of the video when using lossy compression (such as H.265 or H.264). It sets the balance between video quality and file size.Here’s how it works:
For H.265, the typical CRF range is 18–28:
In the example script,
-crf 23is used because it's often considered a good trade-off for retaining quality without excessively increasing file size. You can adjust it based on your preference for quality vs. size.I Prompted ChatGPT: Is the quality difference of compression with
-crf 23noticeable in any way?Response:
In most cases, the quality difference at
-crf 23is not noticeable to the human eye, especially for general viewing purposes. Here's why:If you're concerned about quality, you can lower the
-crfvalue (e.g.,-crf 18or-crf 20) to maintain more detail, though this will result in larger files.I Prompted ChatGPT: Give me example of the difference in file size of a 1GB high motion video between all different crf qualities.
Response:
The file size of a video depends on several factors, including the CRF value, the resolution, frame rate, and video content. Here's an estimated comparison of the file size differences for a 1GB high-motion video at various CRF values using the H.265 codec:
Key Points:
This table gives rough estimates, as actual file sizes can vary depending on the specific content of the video.
Comments on ChatGPT's Response:
I used CRF 22 on a video, and 1 hour of content of a high motion, 40 FPS video used up to 4GB of space.
I Prompted ChatGPT: Can I do crf 22 or 21? Do you recommend it as an in-between option?
Response:
Yes, you can use CRF 21 or 22 as in-between options. The CRF scale is continuous, meaning you can choose any value between 0 (lossless) and 51 (worst quality). Using CRF 21 or 22 offers a slightly higher quality than CRF 23 with a moderate increase in file size, making them good choices if you're looking for a better balance between quality and compression.
Why choose CRF 21 or 22?
From ChatGPT o1 Preview
🧵/
🤔 When scaling a network of any kind (digital, social, business, etc.), what are some inherent variables that play a huge factor in the success of scaling that network? Find issues that have high impact, are unavoidable and will have to be addressed.
Chat GPT: Scaling any type of network—whether digital, social, or business—introduces inherent variables that significantly impact the success of the scaling process. These variables are unavoidable and must be addressed to ensure the network’s functionality, efficiency, and sustainability at a larger scale. Below are 20 critical issues that play a pivotal role in the success of scaling a network:
1. Network Complexity and Topology • Impact: As the network grows, the complexity increases exponentially. In a fully connected network, the number of potential connections between nodes grows quadratically with the number of nodes. This complexity can lead to difficulties in managing and maintaining the network. • Unavoidable Nature: The fundamental nature of networks means that adding more nodes inherently increases complexity. • Need to Address: Effective network design and topology optimization are necessary to manage complexity and maintain performance.2. Bandwidth and Latency Constraints • Impact: Increased data transmission can strain the network infrastructure, leading to bottlenecks and higher latency. This can degrade the performance and user experience. • Unavoidable Nature: Physical limitations of network infrastructure impose constraints on bandwidth and latency. • Need to Address: Upgrading infrastructure, optimizing data routing, and implementing efficient protocols are essential to handle increased load. 3. Resource Limitations • Impact: Scaling requires more computational power, storage, and human resources. Limited resources can hinder the ability to scale effectively. • Unavoidable Nature: Physical and financial limitations are inherent in any system. • Need to Address: Strategic planning for resource allocation and investment in scalable technologies is crucial.• Impact: As the number of nodes increases, so does the need for coordination and communication, which can lead to overhead and inefficiencies.
• Unavoidable Nature: More participants naturally require more coordination.
• Need to Address: Implementing efficient communication protocols and decentralizing decision-making can mitigate overhead.
• Impact: A larger network has more potential vulnerabilities, increasing the risk of security breaches and privacy violations.
• Unavoidable Nature: Scaling introduces more attack vectors and complexities in security management.
• Need to Address: Robust security measures, regular audits, and compliance with privacy regulations are necessary.
• Impact: While positive network effects can increase the value of the network, negative effects like congestion and spam can degrade performance and user satisfaction.
• Unavoidable Nature: The dual nature of network effects is inherent in network growth.
• Need to Address: Balancing network growth with quality control measures is essential.
• Impact: Decision-making processes become more complex, and existing governance structures may become inadequate.
• Unavoidable Nature: Scaling changes the dynamics of control and requires adaptation.
• Need to Address: Establishing scalable governance frameworks and clear policies is important.
• Impact: Ensuring different parts of the network can communicate effectively becomes more challenging, leading to potential integration issues.
• Unavoidable Nature: Diversity in systems and technologies increases with scale.
• Need to Address: Adopting standards and ensuring compatibility are key.
• Impact: Existing protocols may not handle increased load, leading to performance issues.
• Unavoidable Nature: Protocols have inherent limitations that may not suit larger scales.
• Need to Address: Redesigning or upgrading protocols and systems to be scalable is necessary.
• Impact: Maintaining a consistent and high-quality user experience becomes more challenging as the network grows.
• Unavoidable Nature: Increased load can impact performance and service quality.
• Need to Address: Continuous monitoring and optimization of user experience are required.
• Impact: Handling larger volumes of data can strain storage solutions and complicate data management.
• Unavoidable Nature: More users and interactions generate more data.
• Need to Address: Implementing scalable data storage solutions and effective data management practices is essential.
• Impact: Scaling often leads to increased costs in infrastructure, maintenance, and human resources.
• Unavoidable Nature: More extensive operations naturally incur higher costs.
• Need to Address: Efficient budgeting and cost-management strategies are important.
• Impact: As organizations grow, maintaining the original culture and managing change becomes more complex.
• Unavoidable Nature: Growth brings about change, which can affect culture.
• Need to Address: Proactive change management and cultural initiatives help maintain cohesion.
• Impact: Scaling may introduce new legal obligations, especially when operating across different jurisdictions.
• Unavoidable Nature: Laws and regulations are binding and become more complex with scale.
• Need to Address: Legal compliance and risk management strategies are necessary.
• Impact: A larger network may attract more competition, affecting market position and profitability.
• Unavoidable Nature: Success often breeds competition.
• Need to Address: Competitive analysis and strategic positioning are vital.
• Impact: The underlying technology may not support larger scales, leading to failures or the need for overhauls.
• Unavoidable Nature: All technologies have limits that may be reached as scale increases.
• Need to Address: Investing in scalable technologies and innovation is crucial.
• Impact: Scaling requires not just more users but active and engaged users. Low engagement can negate the benefits of scaling.
• Unavoidable Nature: User behavior is unpredictable and can impact network value.
• Need to Address: Strategies to enhance user engagement and retention are important.
• Impact: Larger networks are more susceptible to failures, and the impact of failures can be more significant.
• Unavoidable Nature: More components increase the probability of failures.
• Need to Address: Building redundancy and fault-tolerant systems is necessary.
• Impact: Complex feedback loops can emerge, leading to unintended consequences like oscillations or collapse.
• Unavoidable Nature: System dynamics become more complex with scale.
• Need to Address: Systemic analysis and control mechanisms are required.
• Impact: Larger networks have greater societal impact, raising ethical considerations.
• Unavoidable Nature: The influence of large networks brings ethical responsibilities.
• Need to Address: Establishing ethical guidelines and corporate responsibility programs is important.
Conclusion
Scaling a network introduces a multitude of inherent variables that significantly impact its success. These issues are unavoidable due to the fundamental nature of networks and growth dynamics. Addressing them requires strategic planning, investment in scalable technologies, robust management practices, and continuous adaptation to changing conditions. Ignoring these factors can lead to inefficiencies, security vulnerabilities, decreased user satisfaction, and ultimately, failure to achieve the desired scale and benefits.
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