Lewis Jackson

Where did Lewis Jackson go? I have been busy... - cloning XRP and enabling yields. - automating Airdrop Farming. - creating a trading bot that has a 89% win rate. - creating a crypto news aggregation website that detects fake news. - creating a tennis match prediction model with 84% accuracy in picking the winner ... and people think I won't turn my £50k into £500k in 1 year...

@AlewXRP @markjeffrey Yeah as long as you have Claude code or similar

@WhatSayLew @markjeffrey Lewis, can I run this on a Microsoft surface pro?

$1,300/DAY AUTOMATED BITTENSOR $TAO INVESTMENT WITH AI (34 min free masterclass) 1. don't learn bittensor yourself — steal from the best i couldn't get hold of @markjeffrey so i scraped every podcast transcript he's ever made on bittensor and had ai build me his hedge fund strategy 2. the transcripts tell you everything allocation %, which subnets, when to take profits, when to re-enter it's all in there you just need to know how to extract it 3. claude code + the bittensor CLI = full automation bittensor has a CLI claude can talk directly to it this means your ai sets the whole strategy up itself 4. the allocation map comes from research, not X. most subnet hype on X is noise. Marc Jeffrey's clients have real money in this so i went where the truth is 5. Coingecko free tier is enough you don't need a paid data feed i built this to stay right under their free limits it updates prices across all subnets automatically 6. telegram tells you every move before it happens price drops → it buys → you get a message taking profits → you get a message you never wonder what's happening 7. profit-taking rules are built in from day one i didn't want a strategy that just holds so it deduces from the transcripts when to sell, when to re-enter it's not guessing. it's what the smart guys are doing. 8. works whether you have $10 or $10 million the system doesn't care about the size it allocates proportionally it just runs 9. i've put £20k of my own money in this £2,000 in the last 48 hours $1,300/day on average since i set it up i'm not selling a course. i just want you to see this work 10. you can have this running in about 10 minutes i'll walk you through it click by click no email required, no payment, nothing just watch and follow the steps this video is now out — full tutorial, no ads, no upsells it takes you from "i've heard of bittensor" to "my ai is running my entire subnet strategy" most people see the bittensor opportunity and freeze. too many subnets. too much to learn. feels like you missed it you haven't missed it and you don't need to learn it all watch.

@boxmining Howdy

If you're into: - Ai Automation - Vibe coding - Sales & Marketing - Crypto & Investing - Content Creation Let's Connect 🤝

Pleasure having you!

I was reading a whitepaper that genuinely made me put my phone down and stare at the ceiling. This is the kind of thing you'll look back on in 10 years and say: "I remember when I first understood what was happening." Let me explain NOVA. Finding a new drug is like finding a needle in a haystack. Except the haystack contains 10⁶⁰ molecules. That’s not a typo. More possible drug candidates than atoms in the observable universe. And the needle has to pass 15 years of trials and $2B in costs just to reach a patient. Oh — and 90% of everything that makes it to human trials still fails. This is the broken system NOVA is replacing. Here’s what they built: Every week, a single protein target is locked. A disease. A specific biological enemy. Then a decentralised network of AI miners — powered by Bittensor — race each other across hour-scale epochs to find molecules that bind to it. Not sequentially. Not in one lab. Thousands of minds, simultaneously, attacking the same target. Each miner submits 100 novel molecules per epoch. The oracle (PSICHIC — a graph neural network published in Nature Machine Intelligence) scores every single one in real time for binding affinity. Novel molecules score higher. Duplicates are permanently invalidated. Chemical diversity is incentivised. Winners earn TAO. What blew my mind isn’t the speed. It’s what accumulates. Every structure-affinity pair is permanently recorded on-chain. Every epoch. Every week. Every target. Forever. NOVA isn’t just running drug discovery faster. It’s building the world’s first open, auditable, on-chain database of molecular intelligence — compounding in value with every single submission. The numbers: The SAVI library alone has 1.75 billion synthesisable compounds to explore. Traditional pharma sifts through this sequentially, experimentally, expensively. NOVA runs it as a competition. Hour-scale cycles. Transparent scoring. Token incentives aligned with scientific utility. What took a decade now runs in weeks. And this is the worst it will ever be. The roadmap: → Multi-target weeks (attacking several diseases in parallel) → ADME/Tox integration (predicting toxicity and metabolic stability on-chain) → Wet-lab validation loops (synthesising top molecules + feeding real assay data back as training sets) The model gets smarter every epoch. The database gets richer every week. The oracle gets more accurate every campaign. It’s a self-improving drug discovery engine that nobody owns and nobody can shut down. I keep coming back to this line from the paper: "Rare, high-value chemotypes discovered by one miner inspire novel scaffold explorations by others." Emergent collective intelligence. Applied to finding cures. Built on Bittensor. Rewarded in TAO. We are so early. Give these guys a follow: @micaelabazo (CEO) @metanova_labs

I appreciate that but what I didn't realize before I started Kent was the complexity of yield generation. I kind of just realized how and why yield generation just wasn't really done on the XRPL with that said if I can get a few of the things fixed then Kent could be in good standing for the future but with my limited capacity and ability in this area if i can't resolve the errors then either i'll have to get someone professional involved or accept that i jumped too far in the deep end

@WhatSayLew Hey Lewis, totally agree. TAO’s good vibes are a breath of fresh air after years in the XRP trenches! I think you should also raise more awareness for the $KENT token. If the Clarity Act rules out yield on stables, that 11% on the XRPL with KENT starts looking really attractive

I spent 5 years as a public figure in $XRP. My X feed was 98% toxic. 2 weeks into $TAO and my feed is nothing but good vibes.

@Eagent63 haha true

@WhatSayLew You'll always get haters, Lewis! Unfortunately, that's the world we live in today! My wife said I should be a "youtuber," but when I realised that the majority of people only like you when they're winning, it turned me off the thought! Just keep being you and block out the noise!

@surgeonwhizz All makes sense...

That podcast with Stillm4n really flipped the script . Crypto fatigue is real same cycles, no real compounding but seeing AI agents as the ones who’ll actually need trustless rails to move value at machine speed? That’s the unlock. We’re not late to AI; we’re early to its financial backbone. Glad you’re staying in the game.

After years in this market, this was the first time I genuinely started questioning whether it still made sense to stay. Nothing has really been working. Narratives don’t last. Money rotates, but it doesn compound. And the more time you spend here, the more it feels like you’re just running the same cycle over and over again. And everywhere I look right now, the message is the same: Move to AI. And for the first time… I actually considered it. But when I started digging into Finance AI Agents properly — especially after a conversation I had on my podcast with @Stillm4n, I realised something I think most people are missing. There’s already a generational trade happening. Just not in crypto. Goldman Sachs built it in equities. Long AI infrastructure. Short everything that can be replaced by it. And that trade is massively outperforming. But here’s the part that stopped me. That exact trade exists in crypto. And nobody has built it yet. Because this isn’t about AI replacing crypto. It’s about AI needing it. The world we’re moving into isn’t humans using apps. It’s AI agents interacting with each other. Moving capital. Optimising positions. Making decisions in milliseconds. And that creates a completely new problem. How do you move value between machines… Across borders… In real time… Without trust? The current financial system can’t handle that. But crypto can. So the way I see it… We’re not early to AI. We’re early to the infrastructure that powers it. And if that’s true — the opportunity isn’t in chasing the next narrative. It’s in owning the rails everything else is forced to use. That’s what changed my mind. And it’s the reason I’m not leaving.

@Kezzz63 @Stillm4n Sometimes all you need is to hear is a certain way, and ... 🤯

@WhatSayLew @Stillm4n Totally agree, this narrative has been spoken about by a few a couple years ago but can't remember where I heard it from. You nailed it

Here's the conversation that inspired me: youtu.be/qTYn1U21vls

@Stillm4n @itsolelehmann For sure! But your own channel would be killer too...

@itsolelehmann @WhatSayLew maybe @WhatSayLew should consider a recurring thing 🧐

Had a blast preparing for this with @WhatSayLew. We break down how I think value will move to crypto thanks to ai disrupting software and eventually finance. Blockchain was invented before its ideal users existed: youtu.be/qTYn1U21vls

@AlewXRP Go on!!

This was my first entry point into $Bittensor $Tao, we will all look back on this in ten years and be shocked that we were able to acquire Tao at this price after it reached all time highs of $767.

Goldman Sachs made a trade that's up 80% against the S&P. they went long AI infrastructure. short legacy software. the crypto version of that trade doesn't exist. my guest today built it. here's what he laid out: 1. value doesn't get destroyed when technology disrupts an industry. it migrates. newspapers lost. facebook won. the same thing is happening to banking right now. 2. Larry Fink has been telling everyone for two years: tokenize everything. every bond. every stock. every financial product on the planet. 3. once it's tokenized, AI agents can touch it. move it. optimise it. 24/7. without sleeping. without emotion. 4. this is already happening. $200 million in assets are already being managed by fully autonomous AI agents in DeFi right now. most people have no idea. 5. only 2.1% of the global population uses DeFi. getting to 5% from here is an enormous growth event. 6. the bombshell: regional banks in the US wrote a letter to congress complaining about stablecoin regulation. in that letter they said they have $6.4 trillion in deposits at risk. 7. citibank's most bullish stablecoin projection for 2030 is $3.4 trillion. the banks themselves are telling you the bull case is only half as big as it should be. 8. your biggest opponent is giving you the real number. that never happens. 9. blockchain was built before its ideal user existed. that user is AI. it's a marriage made in heaven — and most people are completely oblivious to it. 10. the consumer AI wave everyone sees (ChatGPT, Claude, Cursor) is just the visible tip. the financial AI wave — agents moving trillions in banking — is invisible to most people right now. that's where the asymmetric opportunity is. @Stillm4n named 12 specific assets at the centre of this shift. no gatekeeping. real names. real logic. watch

this is one of the clearest explanations of why AI and crypto are converging that i've ever heard and it comes with specific cryptos that stand to reflect the value of this shift and the logic behind each one. AI completes blockchain. watch to understand why. 52 mins. free. send to anyone positioning in crypto right now watch 👇

@ThisBeGizmos Claude Opus

@WhatSayLew What AI are you using to handle Bug Report?

$tao > $btc

@ThisBeGizmos Yeah Im really struggling with KENT right now

@WhatSayLew KENTs unstaking needs help to make it viable

@markjeffrey @JesusMartinez and onto mine next? 150k subs!

Went on the @JesusMartinez show last week: youtu.be/pnL9yk4Jf0A