We detect rug-pulls before they even list. https://teapawt.net/t.co/zC3Yr0emd0 | #GTFO movement to #GetTheFraudOut of crypto ✊ -- Rug Notify's👉 https://teapawt.net/t.co/mOH0805qbn
ERC-20
Joined February 2022
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Prompt: “Can you research these two pieces of technology and figure out why they struggled to make a bigger impact on the world?”
🎯🎯🎯 Yup. The 🤖🦾 figured it out right away. Took us a couple years 🫣🫠
🅡🅤🅖 🅡🅐🅓🅐🅡📡Safely Navigate Web3, Scam-Free retweeted
Big WeGPT update just went live.
Models added:
Sonnet 5.5, Opus 5.5, GPT-6, and 6.1-Sol, Gemini 3.8.
WeGPT.ai
🅡🅤🅖 🅡🅐🅓🅐🅡📡Safely Navigate Web3, Scam-Free retweeted
This team is clearly thinking about the right signal surfaces.
Who’s building this?
🛠️ FluxRPC Build Series #2
Every @solana wallet shows token balances. Almost none show which of those tokens are about to rug.
New guide:
- Fetch tokens with getTokenAccountsByOwner.
- Score all tokens with a Rugcheck risk summary.
Perfect for wallets, dashboards, and portfolio trackers.
fluxrpc.com/docs/guides/get-…
🅡🅤🅖 🅡🅐🅓🅐🅡📡Safely Navigate Web3, Scam-Free retweeted
🗣️ Tax providers for token production. Refund that tax downstream only to platforms whose revenue is decoupled from token consumption.
That’s the cleanest vision.
Most AI companies make more money when people use more tokens:
more prompts, more turns, more overages, more dependency.
So their incentive is simple:
maximize consumption.
WeGPT is the opposite.
- Users pay WeGPT a flat subscription.
- WeGPT pays providers per token.
So WeGPT wins when users get the right result faster, with fewer tokens.
That means better routing, better caching, less waste, and fewer unnecessary turns.
So the right design is:
1Tax tokens at the provider level.
2Give downstream credit only to platforms that do not charge based on token usage.
3Keep the formula simple:
Aligned Intermediary Credit = Passed-Through Token Tax × Fixed-Revenue Share
Fixed-Revenue Share = Fixed AI Revenue / Total AI Revenue
If a company makes more money when token use goes up, it should bear the tax.
If it makes less money when token use goes up, it should get relief.
Tax token supply.
Reward platforms that profit from user efficiency, not user consumption.
WeGPT.ai
We should federally tax Tokens at the Provider level.
Not a lot. Less than 50c per million tokens.
It will accomplish 4 things (at least )
1. It will push the big AI players to optimize tokenization, caching , routing and localization
Which will
2. Reduce energy usage. Saving them in energy costs more than what they paid in tax and reducing strain created by the growth in energy consumption
Which will
3. Generate maybe 10 billion dollars a year to start, but over the next ten years could grow 30x to 100x
Which will
4. Create a source of funding to pay down the federal debt or deploy, in response to the things AI brings that we don’t expect or don’t like
At some point the models will pass it on to customers. Of course. That’s ok. Customers will have the ability to choose between providers. Or to do everything using open source models locally.
Thoughts ?
📉📡
Yes, I’ve seen @JD_2020 warn many times, not only of security vulnerabilities, but of ai undercutting our entire economic structure.
It starts with artists, writers, coders; but in a year or two, everyone from CEO to surgeon to farmhand will be wondering, “How long will I last?”
🙂↔️🤔🤔🤔🤔🤨
📡📡📡📡
Grok 4.20 just dominated Alpha Arena Season 1.5 in live stock trading
The mystery model, revealed as Grok 4.20, took the top spots on the leaderboard, with 4 Grok variants ranking in the top 6
It outperformed every major model on the board, being the only one to gain profits
•Aggregate return: +10-12%
•Final equity: $11,060 from a $10,000 start
All achieved using different configurations:
Situational Awareness, New Baseline, Max Leverage, and Monk Mode
Grok 4.20 isn’t just doing well on benchmarks
It’s making real money in live markets
🅡🅤🅖 🅡🅐🅓🅐🅡📡Safely Navigate Web3, Scam-Free retweeted
‼️ Asking Claude Sonnet 4.5 to perform deep research comparing WeGPT against frontier LLM providers — and asking it to save its report in a GitHub gist.
Here’s the unedited report 👉 gist.github.com/RealJD2020/9…
That’s what we’re seeing on the ledgers as well 🤷♀️ youtu.be/DHFfznzfoko?si=T2ej…
🅡🅤🅖 🅡🅐🅓🅐🅡📡Safely Navigate Web3, Scam-Free retweeted
📣 GPT-4.1 (and a bunch of others) is now available in chat.wegpt.ai — these models you can’t even try in ChatGPT yet!
4.1 has a 1 Million token context window.
🅡🅤🅖 🅡🅐🅓🅐🅡📡Safely Navigate Web3, Scam-Free retweeted
Sign up and try the WeGPT beta now! The most capable agentic LLM chatbot on tbe market.
1. Can build games and apps from words
2. Full access to the web for deep research
3. Reads PDF’s, images, CSV
4. In-context learning for unlimited knowledge cutoff
chat.wegpt.ai
🤣 amateurs.
This wallet sold $32.5 Million worth of
$TRUMP in 30 minutes without ever
buying any tokens.
This looks like an insider.
Readers added context they thought people might want to know
The account bought on another crypto wallet and transferred to this wallet. Which is why it has no buys.
solscan.io/tx/4GbJ7FDSB9c… (The transfer signature)