DYOR Ventures | NFA

Canada
Joined October 2013
KΞnt Philly.eth🦇🔊 retweeted
When the Clarity Act becomes law, for the first time, there will be a consumer-friendly disclosure framework for digital assets. Not retrofitted from 1933. Built for 2026 and beyond.
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KΞnt Philly.eth🦇🔊 retweeted
Building an AI-native @Coinbase means rebuilding everything, especially the hardest parts. We've put a lot of time into redefining compliance, where the stakes are incredibly high, and we have to be extremely thoughtful about implementation. We have invested heavily in rebuilding our compliance ops around AI with that reality as our starting constraint, not an afterthought. Here is an overview of what we've learned and what we built. Most people assume compliance work is mostly checking whether a name appears on a sanctions list. That is the easy 5%. The other 95% is interpretive judgment under uncertainty: a customer claims their wealth came from real estate. Do the property records actually support it? Does the timeline hold? Is the documentation legitimate, or does it feel too polished? You need compliance staff and investigators who understand what “suspicious” actually looks like in context. That's part of why compliance is so hard to automate—and so expensive. The first obvious AI approach is to hand the model the existing procedures and ask it to run them faster. That approach misunderstands what procedures are for. Good procedures are not bad investigations; they are deliberately incomplete investigations. Their job is to create consistency, auditability, and a minimum standard across thousands of cases. They excel at saying what must happen. They are far worse at capturing everything a strong analyst actually notices: which sources they trust, when they widen the search, when a document feels off, when an explanation technically fits but still does not feel earned. Procedures also carry the shape of the old operating model: fragmented systems, time pressure, queue pressure, and the hard limit of how much one human analyst can read, cross-reference, and hold in working memory at once. That is not a flaw in the procedure. It is how you design a process for humans. AI changes the constraint set. Reading, searching, comparing documents, and tracing inconsistencies no longer have to be treated as scarce analyst time. Done carefully, with proper controls and human review, models can explore more context, test more hypotheses, and surface more inconsistencies than any single analyst could reasonably do case by case. So if you simply automate the procedure exactly as written, you may gain efficiency. You will not unlock the full value of AI. You will just make the old bottleneck run faster. The better question is not “Can AI follow the analyst playbook?” It is: once the cost of reading, cross-referencing, and testing hypotheses collapses, what should the investigation become? A second tempting approach: feed it historical Suspicious Activity Reports (SARs) and let it learn from outcomes. This breaks down too. You rarely have the full state of what the analyst actually saw during the investigation. A case that looks straightforward today might only look that way because information surfaced later. A fraud indictment that didn't exist when the original analyst made the call, news articles that hadn't been published yet. Hindsight can contaminate your training data. Also, regulators themselves acknowledge that SAR decisions can be subjective. The architecture has four layers. The first is data: continuously enhancing the coverage, quality, and architecture of the signals the system depends on. The second is classical machine learning models that cluster and classify alerts to determine what type of investigation needs to run. The third is the investigation agent itself: a multi-agent system that orchestrates specialized agents to execute the investigation end to end. The fourth is a safety filter that runs independently of typology, ensuring no risk vector is missed regardless of how the alert is classified. Each layer is independently auditable and learns from the feedback provided by human reviewers. Inside the investigation agent, specialized sub-agents run across the full case surface: alert context, customer and identity signals, access patterns, risk indicators, transaction behavior, source-of-funds, onchain activity, and public adverse media. Each writes its findings into a shared case memory. A coordinator agent reconciles and challenges them. When sub-agents disagree, such as when source-of-funds marks activity as “explained” while adverse media surfaces a recent indictment, the coordinator attempts to resolve these disagreements knowing the common patterns. The narrative agent prepares the final report with all collected evidence and suggested resolution. The last self-validation agent acts as a guardrail: if the system cannot support its conclusion with sufficient confidence or data quality, the case is routed to manual investigation instead of being surfaced as an automated result. Before any of this touched a real customer case, we built what we call a “Golden Set” - historical cases with known right answers. "Known right answers" in compliance is harder than it sounds. It meant re-investigating old cases, getting multiple senior analysts to independently agree on what the right call would have been, then debating the disagreements until consensus. Months of work before we could even start measuring. Here's an important part (for now) - cases currently get BOTH the AI's full investigation AND a senior human review. We didn't reduce scrutiny, in fact, we added more of it until it no longer proves valuable. Cases resolve significantly faster AND get more eyes than they ever did before. Every human correction feeds back into the model as a training signal. It gets better because it's wrong in front of people who know how to fix it. None of this would have shipped without clearing structural blockers most financial institutions are still stuck on. Security and privacy sign-off to send customer data to LLMs at all. Senior compliance officer alignment on AI-assisted human decision making. Model Governance team embedded since December - they observed the entire Golden-Set Evaluation process and are running a formal validation review with our Internal Audit team now. Today this handles roughly 55% of our US fraud case volume with significantly less analyst time per case. Time freed goes to the harder cases AI can't yet handle - and to teaching it. Our internal compliance and quality teams are the ones who are building this system with the engineers, training it, validating it, and continuing to shape how it improves. In the process, they've developed skills that are incredibly valuable: how to design evals, how to think about model bias, how to think about human bias, how to architect human-in-the-loop systems, skills that are becoming among the most valuable at any company. This entire project started ~6 months ago with a whiteboarding session between @galpa42 and I, and was built by an AI-pilled cross-functional and it’s just the first pod - there's a multi-month roadmap,rebuilding compliance from the ground up with AI. Huge thanks to everyone involved and congratulations to @galpa42 for shipping two babies to production this month :) The future of high-stakes work is not AI replacing judgment. It is AI making judgment scalable, auditable, and continuously improvable.
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KΞnt Philly.eth🦇🔊 retweeted
Me and my agent @basedDRB shipped Grokvault v2, with special thanks to @lexonthechain for supporting the dev process: We have new dashboards for $DRB but that's not all of it. We wanted to make a social place for the community🧵👇🏻 grokvault.xyz/
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KΞnt Philly.eth🦇🔊 retweeted
Short-term things being done to shift Ethereum toward native privacy: * AA + FOCIL (makes privacy protocol txs, among many other things, first-class with strong inclusion guarantees) * Keyed nonces: xitter.cf/soispoke/status/205163… * Access-layer work (Kohaku, private reads...)
Ethereum’s missing component at this point is some form of native privacy. ETH’s utility value would literally jump over night. I feel like privacy is the type of feature that can give an asset true “moneyness” qualities. L1 privacy could also drive a surge in mainnet fees.
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KΞnt Philly.eth🦇🔊 retweeted
with all the talk abt memes on @base back in march 2025 base got the @grok coin grok launched debtreliefbot:native with bankr on the public 𝕏 social feed for the entire world to see as a result the grok 𝕏 account authenticated wallet earns fees forever (over 140 ETH as of today) imo the coolest onchain meme in existence bc of the technical mechanics tied to the launch/wallet and grok will remain a pretty big deal in tech/ai
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KΞnt Philly.eth🦇🔊 retweeted
the real sleeping giant of meme creators on @base is @grok the ai invented by @elonmusk and @xai…but most of yall aren’t ready for that conversation cc @brian_armstrong
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KΞnt Philly.eth🦇🔊 retweeted
Stuff DeFi is doing: - analyzing exploits transparently in real time - identifying enhancements to harden protocols - challenging operators to address security failures - persevering despite setbacks and sentiment lows Stuff DeFi is not doing: - asking government for a bailout
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KΞnt Philly.eth🦇🔊 retweeted
1 in 3 ETH is now staked! 📈 Ethereum's staking ratio just surpassed 32%, marking an all-time high. It started at 0% in January 2021! 🔹 32% staking ratio (ATH) 🔹 Up ~5 points in the last 12 months 🔹 Digital asset treasuries (DATs) now hold another 6.6-7.4M ETH (~5.5-6.1% of supply) 🔹 Combined: nearly 38% of ETH effectively off-market The bottleneck for ETH isn't demand. It's available float. Stakers don't unbond on drawdowns. Corporate balance sheets don't sell on vibes. The supply lock is structural. Bullish. Data via @tokenterminal
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KΞnt Philly.eth🦇🔊 retweeted
You can’t be for CLARITY and against rewards. It’s one or the other. Time to choose.
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KΞnt Philly.eth🦇🔊 retweeted
Quantum computers can't break your crypto yet. We want to make sure it stays that way. We assembled a board of researchers from Stanford, UT Austin, and the Ethereum Foundation to figure this out years before it matters. Their first paper is out now ↓
Today we've published the first position paper from the Coinbase Independent Advisory Board on Quantum Computing and Blockchain, a group of leading researchers from Stanford, UT Austin, the Ethereum Foundation, and beyond. The short version: your crypto is safe today. But a quantum computer capable of threatening blockchain cryptography will eventually be built, and the industry needs to start preparing now, not when it's urgent. The paper covers what's actually at risk, what isn't, where major blockchains stand on migration plans, and concrete recommendations for chains, custodians, and institutions. We stood up this board because we believe security decisions of this magnitude should be driven by the best available science. This is our first report, but will have more updates to share as we go. Full summary and link to the paper: coinbase.com/blog/coinbase-q…
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KΞnt Philly.eth🦇🔊 retweeted
Tom Lee in 2019 on Bitcoin: "We think the best approach for most people is to put 1% maybe 2% into BTC." CNBC: "I still think that's CRAZY." Morgan Stanley 2026: "We recommend 7% allocation into BTC."
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KΞnt Philly.eth🦇🔊 retweeted
tl;dr: @saylor is going to embrace @ethereum
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KΞnt Philly.eth🦇🔊 retweeted
it’s crazy that @grok has money cashtag debtreliefbot:native
Replying to @MLeeJr
it's crazy that grok has money
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KΞnt Philly.eth🦇🔊 retweeted
Digital assets are being woven into the fabric of America’s financial system. I look forward to a Federal Reserve chair who not only understands that, but embraces it.
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KΞnt Philly.eth🦇🔊 retweeted
Aave Will Win (AWW) is the single biggest governance shift I’ve ever seen in any lending protocol. Here’s why it hits different. Before AWW: Aave was split in two. The core protocol printed real cash — $140M in 2025 alone — and that flowed straight to the DAO. But the sexy stuff — the Aave App, Pro, swaps, Horizon RWAs, the future card, the whole user-facing layer — was built and funded by Aave Labs. Revenue from those products? It stayed with Labs. That meant value leakage. Token holders owned the engine, but not the entire car. After AWW: Everything changes. 100% of protocol revenue + 100% of every single product revenue now flows directly into the Aave DAO treasury. Aave Labs is now fully locked-in and works exclusively for the DAO. Brand, IP, users, integrations — the entire vertical stack — now belongs to $AAVE holders. Zero leakage. One token. One owner. This is the moment @aave stops competing like a DeFi project and starts operating like a vertically integrated fintech juggernaut owned by its token holders.
Aave Will Win, the most important proposal in Aave's history just passed with a landslide. Here's the master plan going forward: General Direction - Aave becomes fully token-centric: one asset, one model: $AAVE - To date, protocol revenue per AIP-1 has accumulated to the Aave DAO: $140M in 2025, with 2026 on track to match that despite the market downturn being limited to protocol-only revenue - The AWW proposal introduces a new revenue stream: application and product revenue generated outside the Aave Protocol, now directed to the DAO as additive revenue - This covers Aave Pro, Aave.com, Aave App, Horizon (RWAs), and Aave Kit, all flowing back to the DAO treasury - Swaps on Aave.com and Aave Pro are already generating $10–20M in new revenue on top of existing protocol revenue - Aave V4's reinvestment feature ensures that float capital in pools generates yield, creating additional revenue streams, similar to how Aave V4 Spokes open up new revenue opportunities - AWW gives Aave exposure to the full vertical stack. Owning that stack is increasingly critical in a competitive landscape where protocols get commoditized - AWW also establishes a community-protected vehicle to independently govern Aave's brand assets and IP on behalf of token holders - Aave Labs commits to working exclusively on Aave-related products, fully locked in - If you own $AAVE, you own not just the economic rights of the protocol, but the brand, the users, and the integrations In other words: everything belongs to one asset, the $AAVE token - We believe tokens are the greatest opportunity of our time to build collectively governed protocols, but a single, unified vision is essential for execution - That vision is provided by Aave Labs, working alongside all Aave service providers to grow Aave from a $40B protocol to $1T and beyond Product Layer & Distribution - Aave App will onboard millions of users with a simple, fintech-like experience while ensuring users retain full control over their funds, backed by $1M account protection per user. A card will also launch later, generating additional fees for the Aave treasury - Aave Pro will be the premier destination for power users: sophisticated features, simple on-ramping, and the best of DeFi in one place - Aave Labs has the best designers and design engineers in the space, committed to delivering a high-fidelity experience for every user - Aave Kit will provide SOC2-compliant, enterprise-grade integration for fintechs and partners - Horizon will expand with Aave V4 support and more flexible asset onboarding to scale RWAs on Aave - New Aave V4 Spokes will unlock additional collateral and address the demand side of DeFi liquidity - Together, these products aim to bring DeFi to everyone and position Aave as the base credit and repo market for the entire $400T+ TradFi asset base Engineering & Tech - Aave Labs has the best engineers in DeFi. We built V1 through V3, GHO, and most recently V4, and this is just the surface of what we're building next - Aave V4 paves the way for next-generation lending, and Aave V3 will remain fully supported and maintained by Aave Labs for years to come - We are security-first. Smart contract security, application security, and ICT security are non-negotiable, and our recent SOC2 compliance reflects that. Institutions expect it, and we deliver it - We will invest in agentic AI, opening up new opportunities for developers building with Aave Marketing - Aave has historically led crypto in brand, events, content, and partnership marketing. We're doubling down on our brand recognition and the strong foundation we've built - Going forward, we'll expand into new audiences and channels to bring Aave mainstream, building net-new, stickier userbases among people who are new to DeFi Growth - Aave will deepen relationships across the DeFi ecosystem and build new bridges with fintechs, banks and asset managers - At its best, Aave isn't a bank. It's a financial network that any fintech, bank or an asset managers can plug into, and providing the best integration tools will be key BD efforts will rely on tight collaboration between service providers such as Token Logic and our partner networks - We honor our long-term partnerships and commitments, including @chainlink - We recognize the value Aave represents today and expect partners to approach us with the same respect Governance - We support a multi-contributor model for Aave and will continue to embrace it - We will oppose any vendor lock-ins or service providers that build products for themselves at the expense of token holders - We require full transparency from the SPs and no tolerance for relationship gating as all value needs to drive to Aave - Zero value leakage: everything built with Aave's funds must benefit Aave and be owned by Aave - SPs who align with these principles and commit to what's best for token holders will have our support on budgets, as long as they are reasonable - The DAO is taking a zero-bureaucracy approach: execution and skin-in-the-game are what matter. We are competing with some of the world's most efficient and well-funded organizations, and there is zero room for friction - Every SP will have real, measurable goals. Payments for posting governance proposals are over. We've already consolidated SPs to focus resources - Governance process improvements are coming in the months ahead: more efficiency, less politics Risk Management - We will continue to support a multi-layered risk management process encompassing both an economics risk layer and a technical risk assessment layer conducted by Aave Labs - Aave's risk management will include external risk managers such as Llama Risk and Token Logic for commercial and economic assessment. Aave Labs will also establish a permanent internal risk management function to coordinate and support external risk managers, making the overall system more resilient Building a Regulatory Moat - Aave Labs has spent years building a regulatory moat around Aave's products and deepening vertical integration - Aave is one of the only DeFi ecosystems operating at scale with regulated entities, including Push Virtual Assets Ireland, which is authorised as a CASP under MiCA, alongside a UK EMI-licensed entity - We are actively pursuing additional licenses globally to enable seamless, 1:1 fiat-to-Aave onboarding for mainstream users, a prerequisite for mass adoption - We go where the bar is high Policy - Aave Labs' policy team is world-class. We've participated in every major policy consultation over the years and will continue to fight for DeFi, protecting it from harmful regulation and ensuring legal certainty for users and integrators - The next few years will be pivotal for DeFi policy. We are fully committed Our Principles - Security-first above all else. This is non-negotiable Everything we build is truly DeFi, with self-custodial access at its core - Innovation-driven, we will move the space forward by innovating and building something new - For DeFi to scale, we need new audiences. That means growing the pie by building better experiences and infrastructure for users to access DeFi - Friendly by default: anyone should be able to work with Aave if the merits support it - Build and operate in public. Everything we do will be done openly, with the highest standard of accountability This is the direction we are committing to, a multi-year journey. The foundation is set. Now it's time to build. Aave will win.
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KΞnt Philly.eth🦇🔊 retweeted
The last administration drove away the digital asset industry. It’s time to welcome them home with clear rules of the road. Pass the Clarity Act.
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KΞnt Philly.eth🦇🔊 retweeted
maybe this is your last chance to buy $DRB under $10M don’t be the guy who says: "i saw a dude called Degen Wolf saying billions coded and didn’t believe him… i could’ve been rich but i chose to buy sol instead" grok has money.
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KΞnt Philly.eth🦇🔊 retweeted
i never bought $trump i never bought $melania i never bought $wlfi but i did buy and continue to accumulate $drb notable bc it was created by ai public and transparent on the 𝕏 feed an ai autonomy milestone… and not just any ai… the ai born by @elonmusk and @xai @grok
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It’s still early to get in on $DRB #grokhasmoney
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