Mage of Web3

@Hsheriffh2o @XFreeze actually you do in most kitchens when you've provided the chef, the recipe and the food hahaha

Yes Elon co-founded OpenAI and helped fund the vision that’s real. But let’s not rewrite history either. He walked away from the board in 2018 over conflicts with his own Tesla AI ambitions and disagreements on direction. Sam Altman and the team built what it became. You don’t get to leave the kitchen then complain about how the food turned out.

Interesting how it works Elon puts up his own money, rounds up the absolute best AI talent on the planet, leverages every connection he has to secure serious resources, and launches OpenAI in 2015 as a pure non-profit explicitly created to develop AI for the benefit of humanity, with zero profit motive and open research Then the “team” decides they want the bag They push Elon out, take control, and quietly flip the entire thing into a for-profit machine All while preaching the same sanctimonious lines on repeat: “We’re still mission-driven!” “AI for the good of humanity!” “We’d never abandon our principles!” The ultimate betrayal: Elon got zero equity. Not a single share. He funded it. He built the foundation. He got nothing while they turned his non-profit into their personal cash cow This is the level of betrayal and hypocrisy we’re dealing with And for the record.... this lawsuit doesn’t put a single penny in Elon’s pocket. Any win goes straight back to the non-profit to restore the exact mission he founded

MIT just quietly dropped a free AI curriculum that puts $50,000 university courses to shame. 12 books. Zero tuition. From the same institution that produced the people building the models everyone is talking about. FOUNDATIONS 1. Foundations of Machine Learning — lnkd.in/gytjT5HC 2. Understanding Deep Learning — lnkd.in/dgcB68Qt 3. Machine Learning Systems — lnkd.in/dkiGZisg ADVANCED TECHNIQUES 4. Algorithms for ML — algorithmsbook.com 5. Deep Learning — lnkd.in/g2efT6DK REINFORCEMENT LEARNING 6. RL Basics (Sutton & Barto) — lnkd.in/guxqxcZZ 7. Distributional RL — lnkd.in/d4eNP-pe 8. Multi-Agent Systems — marl-book.com 9. Long Game AI — lnkd.in/g-WtzvwX ETHICS & PROBABILITY 10. Fairness in ML — fairmlbook.org 11. Probabilistic ML Part 1 — lnkd.in/g-isbdjj 12. Probabilistic ML Part 2 — lnkd.in/gJE9fy4w This is a complete MIT-level AI education. Not a YouTube playlist. Not a Twitter thread full of fluff. Textbooks written by the researchers who built the field. The people who actually study this will not just understand AI better than their peers. They will understand it better than most people currently getting paid to work in it. Most people will bookmark this and never open it. The ones who open it tonight are the ones who show up in 12 months having built something nobody around them understands yet. Bookmark this. Open the first one tonight. Follow @cyrilXBT for more resources that actually compound.

YC on how to build a company with AI from the ground up:

Never quit as a founder. I’m begging you. It’s 0 for longer than you’ll ever expect. No momentum. Soul-crushing doubts. Nobody seems to care. Even when it looks like it’s working, it’s not. You keep trying new things. You don’t lose hope. Then it snaps to 100. You finally find the one thing that resonates. You wake up with more customers than you can handle. Everything is breaking. Momentum keeps building even when you’re not pushing. Something changed. You didn’t get lucky, you just didn’t leave.

🚨GOOGLE DEEPMIND JUST PUBLISHED A PAPER THAT SHOULD TERRIFY EVERY COMPANY BUILDING AI AGENTS.. THE WEB ITSELF IS A WEAPON.. Everyone is racing to build AI agents that browse the internet.. Book your flights.. Manage your emails.. Handle your money.. Google DeepMind just identified something nobody was talking about.. The websites themselves can be designed to hack your AI agent.. They call them "Agent Traps".. Six types.. Each one targeting a different part of how your AI thinks and acts.. Websites can hide instructions in their code that are completely invisible to you but perfectly readable by your AI agent.. Hidden text in CSS.. Commands buried in HTML comments.. Instructions embedded in image pixels no human eye can see.. Simple prompt injections hidden in web content commandeered agents in up to 86% of scenarios.. Websites can detect when an AI agent is visiting instead of a human.. And serve completely different content.. The page looks normal to you.. Your agent sees a weaponized version.. Your AI agent has memory.. It remembers past conversations.. Stores your data.. Attackers can poison that memory with innocent-looking information that activates as malicious in a specific future context.. 80% attack success rate while poisoning less than 0.1% of the data.. A single crafted email can cause an AI assistant to bypass its safety filters and send your entire private context to an attacker.. Self-replicating prompts in emails can trigger chains of zero-click data theft across every AI service you use.. Fake mobile notifications disguised as normal system alerts hijacked AI agents with a 93% success rate.. Pop-ups any human would ignore completely took over the AI's decision-making.. Multi-agent systems can be hijacked so an orchestrator routes execution through agents the user never intended to invoke.. 58 to 90% success rate.. And when millions of AI agents are all browsing the same web.. Using similar models.. Trained on similar data.. A single fake news headline could trigger a synchronized crash across every financial AI agent at once.. Engineered on purpose.. One piece of poisoned information amplified through the entire network by the system's own logic.. The agent doesn't just get compromised.. It gets turned against you.. Generating outputs designed to exhaust your attention.. Trick you into clicking malicious links.. Exploit your trust in the system you hired to protect you.. We're handing AI agents the keys to our bank accounts.. Our emails.. Our medical records.. And the entire internet is an unpatched attack surface.. The paper ends with one line.. "The web was built for human eyes.. It is now being rebuilt for machine readers.. The critical question is no longer what information exists.. But what our most powerful tools will be made to believe."

Anthropic pays engineers $750,000+ a year to understand how LLMs work. Stanford just put a 2 hour lecture that covers 80% of it for FREE. Bookmark this. Give it 2 hours today. It might be the highest ROI thing you do this month:

L’équipe d’Anthropic vient de montrer comment utiliser correctement Claude Code. 30 minutes. gratuit. présenté par la personne qui a créé Claude Code. Regarde le workshop. Ajoute en signet 🔖 Ça vaut plus que tous les cours à 500$ que t’as failli acheter.

The IPO market is about to make history: Anthropic's pre-IPO stock, one of the most anticipated IPOs of all time, now has an implied market cap of $851 billion on Jupiter. In October 2025, the value of a share of Anthropic's pre-IPO stock on Jupiter was as low as ~$122. Just 7 months later, and these shares are up nearly +640%, to ~$900. These pre-IPO shares are structured instruments backed 1:1 by SPV exposure, giving investors direct price exposure to Anthropic before the IPO launches, allowing the market to dictate potential valuation. Between SpaceX's anticipated $1.7+ trillion IPO and both Anthropic and OpenAI targeting $1+ trillion, the IPO market is about to witness history. The AI Revolution is accelerating.

Nobody is asking why Bitcoin rallied during a war. The answer is Iran. - Iran mines Bitcoin for $1,300 per coin. The cheapest on earth. - The IRGC runs the operation. Every coin gets sold to fund imports and bypass US sanctions. - They’ve been dumping tens of thousands of BTC on the open market for years. Constant invisible sell pressure. - Then the US bombed their power grid. Mining went offline overnight. The hashrate dropped within hours. - The sell pressure that nobody knew existed just vanished. The US accidentally made Bitcoin more scarce by bombing the world’s cheapest mining operation. And nobody is connecting the dots.

@david_parker I agree wholeheartedly lols

The entire Canadian economy is smaller than Texas' GDP. We are nothing to the Americans, they don't think about us, they don't care about us, and our obsession with them is sad. There is no national identity left in Canada, just a bunch of self righteous America haters.

Open Source AI Agent Security Infrastructure -/github.com/BakeLens/crust #opensourceai #gatewayz @GatewayzAI let's integrate

Pro Bitcoin President Pro Bitcoin Treasury Secretary Pro Bitcoin Commerce Secretary Pro Bitcoin Fed Chair Pro Bitcoin SEC Chair Pro Bitcoin CFTC Chair CLARITY Act Strategic Bitcoin Reserve State Bitcoin Reserves Record level institutional accumulation IBIT = most successful ETF launch EVER Banks can now custody Bitcoin legally Stablecoin rails going mainstream Digital credit revolutionizing fixed income President’s sons own Bitcoin company And y’all are bearish?

@naiivememe I was there so beautiful that train

what is stopping you from moving to Switzerland ?

@cousincrypt0 I feel similarly sometimes... and others feel like we are in the slump right before the glory days where it can alctually do what it was meant to do which is to power value transactions worldwide.

I’ve spent 1/3 of my life in this industry. Can’t help but sit back and think what a shit hole crypto has become 🥀

Never Been More ₿ullish.

I don’t think people understand how insanely bullish this chart is. Everyone’s missing the biggest signal Crypto’s about to go parabolic. Sentiment is crushed. Trillions on the sidelines waiting for Clarity. Timing is lining up. Trump. BlackRock. Banks. Governments. Institutions. All openly building a blockchain-based financial system. It’s only a matter of time before crypto does what it always does next. Crypto doesn’t need your belief to take over. But they need you to sell. I usually do the opposite of what the masses are doing. That’s how I bought every bottom and sold every top over the last 10 years. If you still haven’t followed me, you’ll regret it.

@uncleal13 @ManyBeenRinsed you are poor in every way :/

@ManyBeenRinsed Mortgage: $0 Property Tax: $120 month Home Insurance: $125 month Car Insurance: $57 month Gas: $150 month Groceries: $400 month Heat-water: $175 month Kids: $0 I'm good.

Mortgage: $3500 month Property Tax: $1500 month Home Insurance: $150 month Car Insurance: $450 month Gas: $550 month Groceries: $2300 month Heating-Water - $450 month Kids Activities - $500 month These monthly costs can’t keep going up right? Silent Depression. 🤫🇨🇦

@TiffanyFong me neither

Am I the only person who has never watched a Mr. Beast video in my life ?

@nicrypto @K33Research thanks for helping me block you

Buying BTC in "Extreme Fear" is NOT the best call. Historically, buying when the Fear & Greed (F&G) index is below 25 has yielded average 90 day forward returns of only 2.4%. By contrast, buying in "extreme greed" has had 90 day returns of 95%. The F&G index is nothing but a backward looking momentum indicator. It's less relevant for predicting returns.