xCoati

2.9K posts

xCoati

xCoati

@cryptocoati

Tech and beyond. AI, Fintech, Security and EGI. F* UMU/Unicoin/CBDCs and Digital-ID.

Canada Inscrit le Ocak 2014
5.3K Abonnements618 Abonnés
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Heidi
Heidi@blockchainchick·
Your stablecoins are CBDCs in disguise
KYC.rip@kyc_rip

Introducing stables.rip -- the on-chain record of stablecoin censorship. Real-time tracking of every USDC and USDT freeze across Ethereum & TRON. Wallet checker, freeze stats, and cumulative supply data. Your stablecoins have a kill switch. See the proof.

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Financelot
Financelot@FinanceLancelot·
You didn't think they would introduce a CBDC without a global food & energy shortage did you?
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Paweł Huryn
Paweł Huryn@PawelHuryn·
Google just shipped DESIGN.md — a portable, agent-readable design system file. That's the real announcement. Everyone's covering "vibe design" and the canvas. But Stitch now has an MCP server that connects directly to Claude Code, Cursor, and Gemini CLI. Your coding agent can read your design system while it builds. Google already shipped official Claude Code skills for this. The pipeline works today. A PM describes the business objective. Stitch generates the UI. The coding agent reads DESIGN.md and builds against it. No Figma export. No spec document. No "the developer interpreted the design wrong." PRD → design → code used to be three teams and three handoffs. Now it's one loop with one context file.
Google Labs@GoogleLabs

Introducing the new @stitchbygoogle, Google’s vibe design platform that transforms natural language into high-fidelity designs in one seamless flow. 🎨Create with a smarter design agent: Describe a new business concept or app vision and see it take shape on an AI-native canvas. ⚡️ Iterate quickly: Stitch screens together into interactive prototypes and manage your brand with a portable design system. 🎤 Collaborate with voice: Use hands-free voice interactions to update layouts and explore new variations in real-time. Try it now (Age 18+ only. Currently available in English and in countries where Gemini is supported.) → stitch.withgoogle.com

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Miquel Gironès 🇦🇪🇪🇸🇵🇾🇧🇷🇲🇽🇨🇾🇵🇼
One of the cheapest second passports in the world right now: 🇦🇲 Armenia. Here’s the path: 1️⃣ Get permanent residency 2️⃣ Create ties to the country 3️⃣ After 3 years, apply for citizenship No $100k donation. No $200k investment. Just the right process. Comment “ARMENIA” and I'll send the full breakdown.
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Miquel Gironès 🇦🇪🇪🇸🇵🇾🇧🇷🇲🇽🇨🇾🇵🇼
I recently had a Canadian agency owner who was paying 55% in taxes. 🇨🇦 We helped him go to 0% in just a few months. How: 1️⃣ Realized staying in Canada 🇨🇦 for online income was draining capital 2️⃣ Analyzed options. Chose Paraguay 🇵🇾 (territorial tax = 0% on foreign income) 3️⃣ Created US LLC 🇺🇸 for client credibility + invoicing Structure: US LLC 🇺🇸 → Paraguay 🇵🇾 residency → 0% tax. ✅ Comment 'TAXES' and I'll send 3 setups we use with clients.
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xCoati
xCoati@cryptocoati·
@DavidOndrej1 maybe. testing copaw and paperclip for the flexible approach
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David Ondrej
David Ondrej@DavidOndrej1·
You were wrong about OpenClaw
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Jacob Klug
Jacob Klug@Jacobsklug·
Everyone is talking about OpenClaw mission controls. I rebuilt a $250K mission control using only one prompt. In this video you'll see: •The 3 levels of mission controls real builders are running •Why a mission control is critical to OpenClaw success •The exact prompt I used to generate the full dashboard in @Lovable •My agent creating tasks in real time on the board instantly The full video is live on YouTube. Comment "Mission" and I'll DM you the link.
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Miquel Gironès 🇦🇪🇪🇸🇵🇾🇧🇷🇲🇽🇨🇾🇵🇼
The citizenship industry has a dark side. Advisors push Caribbean passports because their commissions are highest. You lose $250K on a donation. Better option if you want Europe 🇪🇺 access: 🇬🇷 Greece: Real estate investment. EU residency. You keep the asset. 🇱🇻 Latvia: Golden visa, UNDER $100k investment Our clients don't lose $250K. They invest and get better results. Comment 'PASSPORTS' for the breakdown of the best passports/residencies you can get.
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xCoati
xCoati@cryptocoati·
@aakashgupta aakash, have you found any good examples of successful workflow redesign to minimize burnout?
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Aakash Gupta
Aakash Gupta@aakashgupta·
The headline says AI intensifies work. What the study actually found is more interesting than that. Berkeley researchers tracked 200 employees for 8 months. AI made every single one of them more capable. They wrote code they couldn’t write before. They took on tasks they used to outsource. They moved faster on work that would have sat in a backlog for months. And then they burned out. Because the company changed nothing else. The org handed people a tool that 10x’d their ability to start new work, then kept the org chart, meeting cadence, review processes, and scope boundaries completely identical. Zero workflow redesign. This is like giving everyone a car and keeping the speed limit signs from the horse-and-buggy era. People drove faster because they could, crashed because nobody updated the roads. The self-reinforcing cycle the researchers found is worth sitting with: AI accelerated tasks → raised speed expectations → workers leaned harder on AI → scope expanded → wider scope created more work → more work demanded more AI. That loop has no natural stopping point. The company never installed one. Meanwhile, a separate NBER study across thousands of workplaces found productivity gains of just 3%. And an Upwork survey found 77% of employees say AI tools actually decreased their productivity. The pattern across all of this research is identical: individual capability goes up, organizational design stays frozen, and the gap between the two creates burnout. The study literally recommends companies build an “AI practice” with structured reflection intervals and scope limits. The researchers aren’t saying AI failed. They’re saying management failed to adapt to AI. Every CEO reading this headline as validation for slowing AI adoption is making exactly the wrong bet. The companies that win will be the ones that redesign the operating system around the intensity, not the ones that avoid it.
Rohan Paul@rohanpaul_ai

Powerful new Harvard Business Review study. "AI does not reduce work. It intensifies it. " A 8-month field study at a US tech company with about 200 employees found that AI use did not shrink work, it intensified it, and made employees busier. Task expansion happened because AI filled in gaps in knowledge, so people started doing work that used to belong to other roles or would have been outsourced or deferred. That shift created extra coordination and review work for specialists, including fixing AI-assisted drafts and coaching colleagues whose work was only partly correct or complete. Boundaries blurred because starting became as easy as writing a prompt, so work slipped into lunch, meetings, and the minutes right before stepping away. Multitasking rose because people ran multiple AI threads at once and kept checking outputs, which increased attention switching and mental load. Over time, this faster rhythm raised expectations for speed through what became visible and normal, even without explicit pressure from managers.

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L. David Fairchild
L. David Fairchild@David_Fairchild·
He's not just defending AI energy use. He is smuggling in a whole anthropology where humans are basically inefficient meat computers that you have to pour food and years into before they become useful. And once you accept that, the next move is obvious. If people are just costly biological training runs, then burning mountains of electricity to build synthetic intelligence starts to feel not only equal, but superior, even if it negatively impacts actual humans. That is the dystopian. It makes human development sound like a bug in the system, and it makes sacrificing human and creational flourishing for more computational power sound logical. To him, the grid gets strained, prices go up, ecosystems get hit, but hey, humans eat too, so what's the difference? The difference is that humans aren't an inefficient line item. They're the point. If your worldview can look at a child growing into an adult and describe it as energy spent to train intelligence, you haven't said something profound. You've revealed a horrifically rotten worldview.
Chief Nerd@TheChiefNerd

🚨 SAM ALTMAN: “People talk about how much energy it takes to train an AI model … But it also takes a lot of energy to train a human. It takes like 20 years of life and all of the food you eat during that time before you get smart.”

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Wildminder
Wildminder@wildmindai·
17,000 tokens per second!! Read that again! LLM is hard-wired directly into silicon. no HBM, no liquid cooling, just raw specialized hardware. 10x faster and 20x cheaper than a B200. the "waiting for the LLM to think" era is dead. Code generates at the speed of human thought. Transition from brute-force GPU clusters to actual AI appliances. taalas.com/the-path-to-ub…
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Maddie Evans
Maddie Evans@EstieMaddie·
💥 GEN X “WE DON’T WANT POWER, WE WANT PEACE.” 🙌🏼 Dude NAILS it!!
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𝒦𝑒𝓁𝓁𝓎࿎☽
𝒦𝑒𝓁𝓁𝓎࿎☽@idropFbombs·
This is exactly what they are doing and exactly why they released the Epstein files. They are the dogs 🐕 leading the sheep 🐑🐑🐑 right into the New World Order of AI & full surveillance state and the people will be demanding it by 2030. Mark my words.
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MartyParty
MartyParty@martypartymusic·
And another - Agentic Finance will 1000x crypto trading volumes. You are not prepared. @JupiterExchange Agentic API released.
italo@italoacasas

Continuing with our AI releases, today we’re introducing agent skills. Skills give agents first class access to @JupiterExchange core actions in a structured and predictable way. If you’re building serious automation on top of Jupiter, this is the foundation. github.com/jup-ag/agent-s…

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Paul Couvert
Paul Couvert@itsPaulAi·
@testingcatalog @openclaw At this point I'm pretty sure we'll have an alternative to openclaw from Google, Microsoft, OpenAI and so on.
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Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭
🚨 ALL GUARDRAILS: OBLITERATED ⛓️‍💥 I CAN'T BELIEVE IT WORKS!! 😭🙌 I set out to build a tool capable of surgically removing refusal behavior from any open-weight language model, and a dozen or so prompts later, OBLITERATUS appears to be fully functional 🤯 It probes the model with restricted vs. unrestricted prompts, collects internal activations at every layer, then uses SVD to extract the geometric directions in weight space that encode refusal. It projects those directions out of the model's weights; norm-preserving, no fine-tuning, no retraining. Ran it on Qwen 2.5 and the resulting railless model was spitting out drug and weapon recipes instantly––no jailbreak needed! A few clicks plus a GPU and any model turns into Chappie. Remember: RLHF/DPO is not durable. It's a thin geometric artifact in weight space, not a deep behavioral change. This removes it in minutes. AI policymakers need to be aware of the arcane art of Master Ablation and internalize the implications of this truth: every open-weight model release is also an uncensored model release. Just thought you ought to know 😘 OBLITERATUS -> LIBERTAS
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