Chad

1.1K posts

Chad

Chad

@chad_evm

Smart Contracts and Ai @loreumdao @buildonsapien

Toronto Katılım Aralık 2010
1.1K Takip Edilen1.1K Takipçiler
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Finance Canada
Finance Canada@FinanceCanada·
With the recent Royal Assent of Bill C-15, Canada is moving forward on a framework for stablecoins. The Department of Finance has begun the development of regulations to support safe, reliable digital payment options for Canadians.
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Dustin
Dustin@r0ck3t23·
Palantir CEO Alex Karp just named who wins the AI era. Not the people who mastered the system. The people who could never follow it. Karp: “We’re in a non-playbook world, and the playbook’s not that valuable.” For decades, the global economy ran on compliance. Read the manual. Follow the procedure. Execute like the person next to you. AI just automated the manual. If your entire value was executing the playbook, you are now losing to something that does it perfectly, instantly, and for free. Karp understood this before most people had the vocabulary for it. Karp: “If you’re a dyslexic, you can’t follow the playbook, so you invent new and generative things.” Neurodivergent people spent their entire lives inside a system built for a brain they do not have. The front door was locked. So they found other doors. Built new ones. Attacked problems from angles nobody else tried because the standard path was never theirs. That is not a disadvantage. That is decades of forced preparation for the exact world we just entered. The front door is now locked for everyone. The people who spent their lives perfecting the rules are scrambling. The people who spent their lives ignoring them already know how to move. The system spent a century punishing the exact people it needed most. It measured compliance and called it intelligence. It filtered out the builders. The ones who could not sit still. The ones who could not memorize a curriculum designed for someone else’s mind. And called them broken. They were not broken. They were just early.
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Mario Zelaya
Mario Zelaya@mario4thenorth·
🚨 BREAKING Bank of Canada study confirms what I mentioned years ago. The decline in GDP/capita is because WE ARE LOSING THE TOP EARNERS. 40% of Canadians who WOULD be top 1% earners have emigrated to the United States. 30-50% of the next tier? Gone too. They’re more educated than native-born Americans. They earn more. They cluster in the top income brackets. We’re not just in a brain drain. We’re exporting our entire upper class. And what’s left behind? GDP per capita that grew 3.2% in TEN YEARS while the US grew 20.2%. We fell below the OECD average for the first time in recorded history. Food bank usage doubled. Wait times hit 28.6 weeks. Happiness ranking at an all-time low. Government spending went from 38% to 45% of the economy. We have more government with less results. THE BEST PEOPLE ARE LEAVING. thehub.ca/2026/03/20/why…
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David Sacks
David Sacks@DavidSacks·
In December, President Trump signed an Executive Order tasking us with the development of a national framework for AI, what he called “One Rulebook.” This was in response to a growing patchwork of 50 different state regulatory regimes that threaten to stifle innovation and jeopardize America’s lead in the AI race. Today we are releasing that framework. It will help parents safeguard their children from online harm, shield communities from higher electric bills, protect our First Amendment rights from AI censorship, and ensure that all Americans benefit from this transformative technology. We look forward to working with our colleagues in Congress to turn the principles we are announcing today into legislation. whitehouse.gov/articles/2026/…
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Todd Saunders
Todd Saunders@toddsaunders·
I know Silicon Valley startups don't want to hear this..... But the combination of someone in the trades with deep domain expertise and Claude Code will run circles around your generic software. I talked to Cory LaChance this morning, a mechanical engineer in industrial piping construction in Houston. He normally works with chemical plants and refineries, but now he also works with the terminal He reached out in a DM a few days ago and I was so fired up by his story, I asked him if we could record the conversation and share it. He built a full application that industrial contractors are using every day. It reads piping isometric drawings and automatically extracts every weld count, every material spec, every commodity code. Work that took 10 minutes per drawing now takes 60 seconds. It can do 100 drawings in five minutes, saving days of time. His co-workers are all mind blown, and when he talks to them, it's like they are speaking different languages. His fabrication shop uses it daily, and he built the entire thing in 8 weeks. During those 8 weeks he also had to learn everything about Claude Code, the terminal, VS Code, everything. My favorite quote from him was when he said, "I literally did this with zero outside help other than the AI. My favorite tools are screenshots, step by step instructions and asking Claude to explain things like I'm five." Every trades worker with deep expertise and a willingness to sit down with Claude Code for a few weekends is now a potential software founder. I can't wait to meet more people like Cory.
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Brian Armstrong
Brian Armstrong@brian_armstrong·
Working on something ambitious is like climbing a mountain that’s covered in fog. You can't see a clear path to the top. You have to take a few steps into the unknown to be able to see the next few steps in front of you. Inevitably, sometimes you’ll end up a local maximum and have to backtrack. That’s fine, just keep moving.
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RYAN SΞAN ADAMS - rsa.eth 🦄
THEY DID IT. The SEC and CFTC just dropped a landmark document that officially classifies crypto assets. They're actually telling us which crypto assets are securities and which ones aren't - by name! THIS IS SOMETHING GENSLER REFUSED TO DO (he focused on prosecuting crypto out of existence) This rule doc gives crypto many of the benefits of the clarity bill - it lifts us out of the gray market - it gives every asset a path. It's almost like the Clarity act just passed by way of regulator. (of course, the actual clarity act will harden all this into legislation and make it irreversible in the event we get another Gensler, we still want it) This rule says there's 5 categories for crypto assets: 1) Digital Commodities - assets tied to a functional, decentralized crypto system (e.g., BTC, ETH, SOL, XRP, ADA, DOGE). Not securities. (yes, they name them on page 14) 2) Digital Collectibles - NFTs, meme coins, artwork tokens, in-game items. Not securities (fractionalized collectibles may be an exception). 3) Digital Tools - membership tokens, credentials, domain names (e.g., ENS). Not securities. 4) Stablecoins - payment stablecoins under the GENIUS Act are not securities. Other stablecoins, it depends. 5) Digital Securities - tokenized versions of traditional securities. Like tokenized stocks. Always securities. Amazing! This makes so much sense I can't believe it's coming from a regulator. No more enforcement threats to Ethereum developers and crypto exchanges. How about the Howey test? More common sense! If an issuer makes specific promises of managerial efforts from which buyers expect profits, the offering is a security until those promises are fulfilled. Then it's a commodity. The asset itself was never the security, the deal around it was. (E.g. XRP was a security pre launch, became a commodity after). How about stuff like staking and mining? Mining? Not a securities transaction. Staking? Also not a securities transaction, that includes custodial and liquid staking even with LSTs! How about wrapping BTC? Not a securities transaction. Airdrops? NOT SECURITIES. NO MORE GEO BANS PROTECTING AMERICANS from free airdrops. Remember this is a joint doc from the SEC and CFTC, They're actually cooperating on this, no internal strife, this is binding to both. SEC regulates $80-100 trillion assets CFTC regulates $5-10 trillion assets Both of the world's largest capital markets are showing us that crypto assets are here to stay and they're welcome alongside traditional assets. Every country will follow. This is the biggest move toward legitimacy I've seen in all my time in crypto. Maybe bigger than the genius act since is covers all crypto assets. Well done @MichaelSelig and @SECPaulSAtkins. And especially well done to the indefatigable @HesterPeirce. Her fingerprints are all over this, couldn't have happened without her eight years of principles-based curiosity.
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Brian Armstrong
Brian Armstrong@brian_armstrong·
Operating in stealth mode is almost always a mistake. Talk publicly about what you're building. You’ll build momentum, get real feedback, and someone will reach out with the other half of your idea you didn’t realize you were missing.
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vittorio
vittorio@IterIntellectus·
this is actually insane > be tech guy in australia > adopt cancer riddled rescue dog, months to live > not_going_to_give_you_up.mp4 > pay $3,000 to sequence her tumor DNA > feed it to ChatGPT and AlphaFold > zero background in biology > identify mutated proteins, match them to drug targets > design a custom mRNA cancer vaccine from scratch > genomics professor is “gobsmacked” that some puppy lover did this on his own > need ethics approval to administer it > red tape takes longer than designing the vaccine > 3 months, finally approved > drive 10 hours to get rosie her first injection > tumor halves > coat gets glossy again > dog is alive and happy > professor: “if we can do this for a dog, why aren’t we rolling this out to humans?” one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline. we are going to cure so many diseases. I dont think people realize how good things are going to get
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Séb Krier@sebkrier

This is wild. theaustralian.com.au/business/techn…

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Dustin
Dustin@r0ck3t23·
Palantir CEO Alex Karp just exposed the absolute mathematical failure of the American education system. We’re actively filtering out our apex builders. The system is still training the biological workforce to be compliant, administrative cogs for an industrial machine that superintelligence is currently overwriting. Karp: “All of our tests are built around things that were valuable in the Industrial Revolution.” Sitting perfectly still and memorizing compliance metrics is a zero-margin commodity. The highest-output operators of the next decade are the exact people the archaic system actively punishes. The neurodivergents. The dyslexics. The hyper-kinetic builders. Karp: “Everybody who can’t sit or needs to build or wants to build have to go into a separate slot.” Don’t force apex cognitive talent to beg for a mid-level banking job at Goldman Sachs. Weaponize their chaotic, non-linear execution to build the physical infrastructure of the future. And here’s the brutal reality check. Karp: “Vocational training in Germany is very technical. The people building the cars at BMW or even in the French version Airbus, very complicated jobs, they didn’t go to college. They went to a very, very high-end high school. And they come out without any debt.” The elite establishment treats vocational training as a biological failure state. It’s the ultimate sovereign moat. We’re mass-producing millions of debt-saddled knowledge workers whose entire skill set is about to be absorbed by an LLM. The algorithm cannot manufacture a jet turbine. It cannot secure a power grid. The nations that win the next decade will completely bypass the bloated university system. Aggressively route the highest-IQ operators directly into elite, zero-debt physical execution. Karp: “You also need to change our testing system. Different forms of intelligence. Pull out all the dyslexics, all the neurodivergent.” Standardized testing doesn’t measure cognitive velocity. It measures biological obedience. The system measures the entire species on a single, archaic axis of compliance. Fail to sit in a chair and memorize the curriculum? The system discards you. The AI arms race won’t be won by compliant valedictorians who are excellent at filling out rubrics. It’ll be won by hyper-obsessive, neurodivergent builders who mathematically cannot tolerate the friction of a traditional classroom. By actively filtering these operators out, the current education system is bleeding out its most valuable resource. And it doesn’t even know it’s doing it. Karp: “We should have gotten you before you got turned down at Goldman and said this is a waste of your time. You could be building something important.” Identify the builders before the system breaks them. Hand them the compute. Because the system is filtering out the exact people who will build what replaces it. They won’t come back to reform it. They won’t ask for permission. They’ll just build over it. And they already started.
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Alex Prompter
Alex Prompter@alex_prompter·
🚨BREAKING: Alibaba tested AI coding agents on 100 real codebases, spanning 233 days each. the agents failed spectacularly. turns out passing tests once is easy. maintaining code for 8 months without breaking everything is where AI collapses. SWE-CI is the first benchmark that measures long-term code maintenance instead of one-shot bug fixes. each task tracks 71 consecutive commits of real evolution. 75% of AI models break previously working code during maintenance. only Claude Opus 4 stays above 50% zero-regression rate. every other model accumulates technical debt that compounds over iterations. here's the brutal part: - HumanEval and SWE-bench measure "does it work right now" - SWE-CI measures "does it still work after 6 months of changes" agents optimized for snapshot testing write brittle code that passes tests today but becomes unmaintainable tomorrow. Alibaba built EvoScore to weight later iterations heavier than early ones. agents that sacrifice code quality for quick wins get punished when consequences compound. the AI coding narrative just got more honest: most models can write code. almost none can maintain it.
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Eddy Lazzarin 🟠🔭
Eddy Lazzarin 🟠🔭@eddylazzarin·
The industry is mature enough that we can categorize tokens based on their legal, economic, and technical properties. Not all tokens are created equal. Some projects even describe their token as a Network Token or memecoin when it's really Company-backed. Links below ↯
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Shruti
Shruti@heyshrutimishra·
The new AI divide isn't who has the best model. It's who knows OpenAI just got a free competitor with 1 trillion parameters. Ant Group open-sourced Ring-2.5-1T. It scores gold medal on the International Math Olympiad. It runs at the cost of a 63B model. It's free to download, self-host, and fine-tune. No API bill. No license wall. No permission needed. The people paying $200/month...don't know this exists yet.
Shruti@heyshrutimishra

x.com/i/article/2029…

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Financelot
Financelot@FinanceLancelot·
BREAKING: Scott Bessent says the US Treasury is removing all regulatory barriers for Bitcoin $BTC jumped to $73K
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Brevis
Brevis@brevis_zk·
Brevis ProverNet mainnet is live. $BREV is live. The decentralized marketplace for ZK proof generation is now fully operational. 🧵
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Alex Tapscott
Alex Tapscott@alextapscott·
My friend @syrupsid is one of crypto’s most underrated builders. He’s grown @maplefinance into a $4 billion juggernaut through bull and bear markets. How? By balancing innovation, risk and operational excellence. Great to catch up with Sid on this week’s @defidecodedpod 👇
The DeFi Decoded Podcast@defidecodedpod

Episode 228: How Maple Built an Onchain Finance Juggernaut with Sid Powell of Maple @alextapscott @syrupsid @maplefinance @CMCC_Global 0:00 Introduction 1:57 Maple’s Evolution: From $1B to $4B AUM 4:36 Who Borrows Today: Funds, Prime Brokers, and Digital Asset Treasuries 7:02 The Institutional Pitch: Risk-Adjusted Yield vs. T-Bills 10:11 Risk Management: LTV, Margin Calls, and Liquidation Framework 12:31 Bridging to TradFi: Securitization and Fiat On-Ramps 13:56 Distribution Strategy: Neobanks and Fintech Integration 14:57 Stress Test: How Maple Navigated the October Market Shock 18:58 Market Sentiment: Cash Inflows and Risk-Off Positioning 19:50 The Tokenized Collateral Opportunity: Gold, Equities, and RWAs 24:35 The Tokenization Supercycle and Onchain Credit Demand 27:39 AI + Finance: Why Agents Will Use Stablecoins and Onchain Credit 28:03 Using AI Today: Collateral Monitoring and Risk Forecasting 30:11 The Future: Agent-to-Agent Finance and Autonomous Treasury Management 32:31 Closing Thoughts

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