Pepe AI Review
If your website is on the scam list and you think that you are not a scammer, contact us. After you provide us with all the proof that you are in Crypto World with good intentions, we will delist you. Usually, you get in this category because you are hiding your team, you have a bad reputation(you are tricking, deceiving, scamming people), and you haven't got a written project whitepaper or is a shitty one....
Their Official site text:
Pepe the Frog (/ˈpɛpeɪ/) is a cartoon character and Internet meme created by cartoonist Matt Furie. Designed as a green anthropomorphic frog with a humanoid body, Pepe originated in Furie's 2005 comic Boy's Club. The character became an Internet meme when his popularity steadily grew across websites such as Myspace, Gaia Online, and 4chan in 2008.
Pepe is tired of watching everyone play hot potato with the endless derivative ShibaCumGMElonKishuTurboAssFlokiMoon Inu coins. The Inu’s have had their day. It’s time for the most recognizable meme in the world to take his reign as king of the memes.
Pepe is here to make memecoins great again. Launched stealth with no presale, zero taxes, LP locked and contract renounced, $PEPEAI is a coin for the people, forever. Fueled by pure memetic power, let $PEPE show you the way.
$pepeai coin has no association with Matt Furie or his creation Pepe the Frog. This token is simply paying homage to a meme we all love and recognize.
$PEPEAI is a meme coin with no intrinsic value or expectation of financial return. The coin is completely useless and for entertainment purposes only.
All jokes aside, here is a rough sketch of $pepe path ahead.
We dont want to give everything away on day 1, Expect surprises along the way ;)
CoinGecko and CoinMarketCap Listing
6900 $PepeAI holders
Media release on Yahoo, Bloomberg, Investing.com
TrustWallet, TokenPocket Update
42,690 $PepeAI Holders
Targeted Airdrop Campaign
Community Partnerships Pepe Times digital newsletter
Banners and Billboards in New York, UAE
1M $PepeAI Holders
T1 Exchange Listings
Security & Audit
Contract ownership Renounced
- Renouncing ownership is therefore the safest way to protect user assets and secure the contract.
The concept of liquidity locking was developed to ensure that pool tokens cannot be moved or redeemed until a pre-specified amount of time has elapsed. This helps give users assurance in the market they are investing in since they know the pool tokens cannot be moved during the specified time period. To ensure that the liquidity locking process is correctly implemented, standards have been put in place to verify that it was correctly done, alongside easy-to-use tools that anyone can use.
A thorough examination of the code of a smart contract is conducted in an audit, to uncover security flaws, inaccurate or inefficient programming, and methods to increase its solidity. By carrying out an audit, developers are enabled to guarantee the safety and dependability of their blockchain applications.
Supply of 69 Trillions (69,000,000,000,000) $PepeAI
Buy / Sell Tax: ZERO
No Taxes, No Bullshit. It’s that simple.
72.3% added to PancakeSwap
24.5% burn to 0x00000000dead
1.1391% at Gate.io
1.0061% at Huobi
0.6097% at Binance Safu Wallet
Pepe is here to make memecoins great again.
Draw PEPE takes the beneficial elements of Dall-E 2 and Latent Diffusion, adding new thoughts as well. It uses the CLIP model to act as the text and image encoder, and also forges a diffusion image prior (mapping) between the latent spaces of the CLIPs. From here, a generative model based on multi-modal VAE is created, which jointly optimizes the log-likelihood of the image and text, whilst taking into consideration the cross-modal correlations
We use a transformer with 20 layers, 32 heads, and a hidden size of 2048 to diffuse the latent spaces in order to enhance the visual performance of the model, providing new opportunities for blending images and manipulating images via text.
By using a deep learning encoder-decoder architecture, Draw PEPE is able to transform a simple text description into a visually stunning and accurate rendition of what the user is describing. Additionally, this system enables the user to adjust the parameters of the output image, thus further customizing their masterpiece.
To show our commitment and dedication to PEPE, Draw PEPE will only accept prompts that include the name "PEPE".
AI Draw PEPE at
Reinforcement Learning from Human Feedback (RLHF)
Using Reinforcement Learning from Human Feedback (RLHF), we fine-tuned our model. We trained a reward model to assess the utterances generated by the model when conversing with humans. This was to identify and correct errors made by the model, as well as to guide it in creating more fruitful conversations. Finally, through the same RLHF, we adjusted the model's parameters to maximize the rewards given by the reward model.
We trained an initial model using a supervised fine-tuning process, and the human-AI trainers were given model-written suggestions to help them create their responses.
We further modified the InstructGPT dataset to be in a dialogue format, thus expanding the range of inputs our model could learn from. Additionally, we used the Reinforcement Learning from Human Feedback (RLHF) algorithm to fine-tune the model’s parameters to make the model's predictions more accurate. To achieve this, a reward model was created to measure the quality of the conversations the model was having with human partners and was used to identify and fix mistakes whilst also enabling us to shape the outputs of our model to be more relevant.
Try ASK PEPE -
PEPE Scanner makes it easier to detect rug pulls and honeypots, two of the most common token scams in the decentralized finance space. Simply enter the token contract address into PEPE Scanner's search bar and it will provide you with detailed information about potential risks, a brief audit of the contract, and other essential data. Thanks to the innovative technology developed by PEPE Scanner, users can better protect themselves from DeFi fraudsters.
Use cutting-edge smart contract screening technology to constantly analyze millions of token contracts, accurately detecting potential security issues.
Our main goal is to uncover and expose as many scams as possible. This evaluation of the agreement is provided as an informative reference rather than a conclusive decision on the reliability of the agreement.
After the model is trained, we evaluate the detector's performance by measuring false positives and false negatives. Lastly, we continually refine the detector to improve accuracy and performance.
Try PEPE Scanner -
AI technology creates a trading algorithm that is designed to actively monitor the stock market and execute trades accordingly in order to make a profit. It also provides users with a convenient platform that gives live updates on their investments so they can track their progress.
Evidence of Artificial Intelligence's effectiveness in trading is demonstrated by its rapid rise in usage. With AI, firms can tap into massive data stores to quickly recognize stock market trends and patterns, and make accurate decisions. It is extremely efficient in processing and weighing large pieces of information, and can identify intricate trading trends, allowing companies to make timely and profitable investments.
This bot leverages the RPC node to detect pending transactions from a contract. Should the contract owner attempt to add liquidity, the bot will automatically purchase it prior to any other transactions while the liquidy is pending. Extensively tested on virtual machines, local machines and servers, the bot runs smoothly.
Pepe Sniper is still in the process of being developed and is not yet available for public use. Upon its release, users will be able to use the bot on BSC, ETH, ARB, and the Cronos Chain, but they must hold a web3 proof of stake of at least 10 billion $PEPEAI. (subjected to changes).