JFHaftΔ

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JFHaftΔ

JFHaftΔ

@jfhaft

cofounder of https://t.co/kCf03F8GMa, cryptomondays, DLTx & PALcapital / OrdinalsBot / MorpheusAI / Decentralization & Self-sovereignty for all

Earthbound, for now Katılım Nisan 2009
1.7K Takip Edilen1.7K Takipçiler
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Max
Max@MaxScore·
open router for vision ai, built on bittensor subnet 44 devs, ai agents, operators will use @manakoai to deploy vision ai pipelines via prompts, no infrastructure required $TAO sn44 builds and routes to the best available vision elements, updating as the network improves
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LλURA-VΞRSΞ
LλURA-VΞRSΞ@Laura__crypto·
You get one pick. Locked for 5 years. No selling. No switching. Which crypto are you backing? 🚀 • 🤖 $TAO • ⭕️ $RNDR • ⚡ $KAS • 🧠 $QUBIC • 🧬 $ICP • 🚀 $FET Conviction only. What’s your long-term bet? 👇
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Max
Max@MaxScore·
i really should go to bed now... arbos is learning about the different class ids sn44 gets from the miner.py file (the model is not doing extremely well atm but i've just started building this earlier today on the eurostar...lol) the left sidebar will be connected to @Polymarket for live execution @sire_agent will finally get its in-play edge generation machine powered by @webuildscore + @manakoai long journey still...but we'll get there i think i'll ask arbos to do some pre or post training to increase consistency after we get the basic stuff set up
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JFHaftΔ
JFHaftΔ@jfhaft·
@nicrypto Why does an agent need to know it’s transacting with a human? Why do you need to know who I am to transact with me? @DaisGlobal
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Nic@nicrypto·
AI doesn't just need crypto. It needs it now. Two reasons: 1. Autonomous micropayments: AI agents transacting at machine speed need permissionless & cheap payment methods. Crypto is the only rails that work. 2. Proof of personhood: in a world of millions of AI agents, how do you know you're talking to a human? Cryptographic identity on-chain is the answer. The main question is what networks would be used for this?
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JFHaftΔ
JFHaftΔ@jfhaft·
Not decentralized, not interested. @DaisGlobal
Teslaconomics@Teslaconomics

I don’t think people truly understand what’s about to happen with 𝕏 Money. This is Elon going back to his roots - back to x.com - and building what he always wanted in the first place: one place that runs your entire financial life. When he rebranded Twitter to 𝕏 in 2023, he said straight up that we’re adding the ability to conduct your entire financial world. He even said you may not even need a traditional bank account. Most people brushed that off. And now it’s becoming real. 𝕏 Money has already been live in closed beta internally within the company. A limited external beta is expected soon, and they’ve already secured money transmitter licenses in over 40 states plus DC. 𝕏 Payments is registered with FinCEN. Visa is officially partnered. You’ll be able to fund your wallet instantly, send peer-to-peer payments, move money to your bank, and eventually use a debit card. And I think this is just the beginning. This will probably start as a simple wallet where you can send money as easily as sending a DM. With this technology, you can pay creators, pay subscriptions, pay whatever bills, shop inside the app, get paid inside the app, and much more. Then, there will be high-yield savings, you can invest, you can get loans, have money market accounts, maybe even treasury access, cool smart cashtags that let you see live stock prices in your timeline and execute trades seamlessly, crypto integration, potentially full asset management… the list goes on and on… Elon literally said this is meant to be the central source of ALL monetary transactions. Bro… think about that for a sec. Your 𝕏 profile becomes your financial identity. Everyone you follow is already there. Everyone you interact with is already there. That social graph becomes your distribution engine. Like, you won’t need a separate banking app, no need for a separate investing app, no need for a separate payment app… this all lives where you already spend your time. Right here on 𝕏. Look at WeChat in China, which Elon always alluded to. Payments, messaging, shopping, investing - all integrated in one app. It handles $ trillions in volume and became deeply embedded in everyone’s daily life. Now 𝕏 is building the Western version of that, but with a more global reach, and xAI’s AI layered on top of all this. Before you call me crazy, you have to understand how big this opportunity is. Digital payments globally are measured in the tens of $ trillions of dollars annually. Even just capturing a small slice of that across hundreds of millions, and eventually a billion, users can change everything. 𝕏 already has the audience. That lowers customer acquisition costs significantly. Add fintech revenue on top of ads, plus float, plus lending, plus investing tools, and we’re talking about a completely different valuation profile. Now, $44B for this company looks like the bargain of the decade… this was one of the main reasons I invested in 𝕏. And if they execute the way they’ve executed at Tesla and SpaceX, this could truly fundamentally redefine how people handle $ . Most people today still see 𝕏 as just a social media app. I see it as the foundation of a financial system layered on top of a global network. Ultimately becoming the “everything” app. And this I believe is a once-in-a-generation opportunity. Elon is calling this a game-changer. I believe him.

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JFHaftΔ
JFHaftΔ@jfhaft·
check out @DigItGoldGame on Telegram. Play for fun, earn gold :)
Michael Gord@mgordgda

📜 Day 222 — Gold Strikes Viral The headlines just dropped like a pickaxe on bedrock. @FlashyFunHQ announces @DigItGoldGame, the world’s first viral Play-for-Gold game. Up to $10M in real gold rewards as prizes ($35M in total rewards). $NUGS turn taps into tokenized treasure. Mobile-native, hyper-addictive, backed by RWA gold reserves. Players mine, collect, redeem, straight into RWA gold holdings. This is gamified gold distribution at scale. 120M+ @GAMEEToken users in distribution range (and many more massive networks joining). Streamers, campuses, crypto communities already circling. From speculation to tangible upside. From points to preserved value. The For-Gold Movement is only just warming up. Bonus tease: MVP of THE HUNT is almost complete. ⏳ The gate creaks wider. Stay vigilant, Gold Hunters. ⚡️⚡️ #PlayForGold #TheHunt #P4G #ForGoldMovement

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JFHaftΔ retweetledi
TylerD 🧙‍♂️
TylerD 🧙‍♂️@Tyler_Did_It·
VVV absolutely soaring Up 2x over the past 5 days to $7 and now up ~7x from December lows
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Creator.Bid
Creator.Bid@CreatorBid·
3 Major Upgrades Live on the Trenches 🪖 We just made 3 important upgrades to set the stage for what's about to come this week: 1) Multi-Token Swap - powered by @KyberNetwork Buy any token with whatever you’re holding. If you don’t have the required pair, choose another token and the system will automatically convert and complete the trade in a single frictionless transaction. 2) Dynamic Table View A data table to display important market stats like volume per token, holders, liquidity, price action - all updating live. Good for traders who want a broader picture beyond the treemap. 3) Sort by Recently Launched Choose this option to see the newest launches first. The Trenches are now more dynamic and frictionless for every trader. Big announcement soon! gBID
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Michael Taiwo
Michael Taiwo@AskMichaelTaiwo·
One of the best videos ever made on AI
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JFHaftΔ@jfhaft·
Dustin@r0ck3t23

The most valuable company of the next decade might be built by one person in a room. No employees. No office. No investors. Just a founder and an army of agents. Former Google CEO Eric Schmidt just handed you the most important wealth creation blueprint of the next decade. Schmidt: “This is the agentic period in AI.” The era of the chatbot is over. The era of the agent has begun. And Schmidt says if you want to capitalize on it, the formula is simple. Schmidt: “If you really wanna make money, it’s actually easy. Found an agentic AI company.” But he was precise about where the real value lives. Schmidt: “I don’t mean one designing agents. I mean build an agent to do something.” Not infrastructure. Not foundational models. Not another AI wrapper. Execution. Autonomous, end-to-end, runs-without-you execution. Schmidt: “For the next year or two, everyone’s going to build agents.” And those agents are going to compete in an open market for every white-collar function that exists. The winners won’t own software products. They’ll own the labor. Think about what that actually means. Every industry built on repetitive human expertise is about to face a digital worker that never sleeps, never asks for a raise, and gets better every month. Legal research. Financial analysis. Sales. Recruiting. Customer operations. Marketing. Every niche is a company waiting to be built. Schmidt: “If you build a better agent than anyone else, you can probably build one incredible company and own it yourself.” Own it yourself. No venture capital. No massive executive team. No dilution. For the first time in history, the leverage that used to require hundreds of employees fits inside a codebase one person can own outright. And once agents execute better than humans at a specific function, businesses stop hiring for it. They just deploy. Whoever builds the best digital worker in any given category doesn’t compete for talent. They obsolete the need for it. We spent the last decade watching software eat the world. We are about to watch agents eat the workforce. The founders who move now, pick a niche, and build the best digital worker in that category won’t just build companies. They’ll build the new infrastructure of human productivity. Every era of wealth creation had a window. The railroad window. The internet window. The mobile window. Each one rewarded the people who saw it early and moved while everyone else was still debating whether it was real. This is the window. The only question is whether you build the agent or spend the rest of your career being replaced by one.

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JFHaftΔ
JFHaftΔ@jfhaft·
Subnet 44 (Score) is a core holding. Follow with me. Let's see where this goes... $SIRE @DaisGlobal @PALcapital @KryptoAIAgent @markjeffrey @taostats @MaxScore
τim@tm0klc

Bittensor is an incentive network. Many subnets compete on model quality. They optimise for benchmark scores. That phase is necessary. It is not sufficient. The long-term value in decentralised AI does not come from isolated models. It comes from networks that solve real-world economic problems. @manakoai is building production-grade visual infrastructure. That changes the role of the subnet. Instead of training a single general-purpose vision model, the subnet becomes a distributed engine for continuously optimising production elements. Production vision is not static. Latency requirements change. Hardware profiles change. Vertical constraints change. That creates a constant optimisation surface. A centralised team can improve models incrementally. A decentralised incentive layer can improve them continuously. That’s the opportunity. The subnet is not a research playground. It is a competitive model factory. Miners compete to produce better production-ready elements. Validators score based on deployment-relevant metrics — not just academic benchmarks. The result is compounding optimisation. As Manako scales deployment across enterprises, it generates real performance feedback. That feedback informs scoring. Scoring drives incentives. Incentives drive better elements. The subnet becomes economically aligned with real-world adoption. That is our difference. We are aligning emissions with infrastructure value creation. When Manako becomes the standard execution layer for production vision, the subnet becomes the optimisation engine underneath it. That creates structural demand for better elements. Better elements improve endpoints. Better endpoints increase adoption. Adoption increases economic weight. The loop compounds. Far beyond speculative value. It is usage-aligned incentive design. Infrastructure markets reward standards. Standards reward optimisation. Optimisation is what decentralised networks are structurally good at. The subnet is not a side experiment. It is a force multiplier. Centralised orchestration. Decentralised optimisation. That combination is difficult to replicate. As Manako grows, the subnet benefits from: - Increased demand for production-grade elements - Continuous benchmarking against real deployments - Economic weight tied to utility, not hype In the long term, the subnet becomes the most efficient place to produce production-ready computer vision components. That is how decentralised networks create durable value. Manako defines the standard. The subnet accelerates the optimisation. Together, they compound.

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Score - Subnet 44
Score - Subnet 44@webuildscore·
From chatbots to real-world AI systems. @MaxScore was a guest on the latest @GaeaLGM podcast to share how Score uses vision AI in sports and other industries, and why solving the right business problem matters more than model accuracy. Full interview: youtu.be/acRuD8p-Svs?si…
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Dustin
Dustin@r0ck3t23·
Changpeng Zhao just identified the next financial market, and every traditional bank is structurally obsolete for it. “Transacting millions of times more than humans.” The Machine Economy. Financial systems were built for human speeds. We buy coffee, pay rent, sleep. AI agents operate continuously without rest. Zhao: “You’ll soon have thousands of AI agents working for you.” Negotiating APIs, buying compute, booking logistics, executing trades. All simultaneously at machine speed. Transaction volume from AI commerce won’t supplement human activity. It’ll eclipse it completely. The infrastructure isn’t Visa or banks. It’s stablecoins like USDC. AI needs programmable money settling instantly, not in “3-5 business days.” Zhao: “Digital assistants will not find banks suitable.” AI executing millisecond arbitrage can’t wait for bank transfers. Delays don’t slow the system. They break it entirely. From high-frequency trading to high-frequency living. Banking adapts or gets routed around. Zhao: “They’ll book hotels, buy tickets… transacting millions of times.” Credit cards need identity. Stablecoins need cryptographic keys. AI excels at key management, not waiting for human approval processes. Default currency for AI won’t be physical dollars. It’ll be programmable dollars. First institution integrating with AI agents captures next-century transaction flow. Legacy banking assumes human speeds with settlement delays. AI operates at microsecond velocity with instant settlement requirements. Architecturally incompatible. Infrastructure handling trillions in human commerce becomes the bottleneck strangling quadrillions in machine commerce. Markets eliminate bottlenecks by building parallel systems. Once machine economy reaches scale, traditional banking doesn’t compete. It becomes the slow legacy option only humans use while everything significant happens in infrastructure they can’t access at competitive speeds.
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JFHaftΔ
JFHaftΔ@jfhaft·
@r0ck3t23 @grok if this analysis is correct, how would you compose your investment portfolio to maximize gathering alpha? Feel free to choose amongst any asset class.
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Dustin
Dustin@r0ck3t23·
Cathie Wood just identified the precise mechanism destroying the economy’s foundation: AI didn’t change the game, it eliminated the scarcity the entire game was designed around. Deflation is materializing in measurable ways. Truflation at 0.8%. Pepsi slashing prices 15%. Home price inflation stopped cold. These aren’t disconnected events. They’re early signals that fundamental assumptions are failing. Wood: “AI training costs down 75%/yr. Inference down nearly 98%.” Every economic structure in the modern world was built on one unquestioned premise: intelligence remains expensive and scarce. That single assumption determined professional compensation, career hierarchies, pricing power across knowledge work. Centuries of economic development calibrated around cognition having irreducible costs. AI just proved that premise was conditional, not permanent. Wood: “Deflation is coming.” Consider how professional pricing actually functions. Legal work commands $500 hourly not arbitrarily, but because expertise is genuinely rare and quality analysis requires substantial time investment. Strategic consulting bills enterprise rates because high-level thinking is demonstrably scarce. The pricing models work because real scarcity supports them. When that scarcity evaporates, pricing doesn’t gradually adjust. The economic foundation supporting those rates disappears. Pepsi cutting 15% reflects more than competitive pressure. It signals that AI-optimized competitors now operate at cost structures traditional businesses cannot replicate without complete operational transformation. Real estate stuck at 0.9% growth despite housing shortages because property valuations assumed stable income from employment categories AI is actively eliminating. Wood: “Truflation at 0.8%.” Policy tools assume productivity advances 2-3% annually. Predictable incremental progress the system can absorb. AI generates productivity multiplication at rates the existing frameworks cannot process. The models steering economic decisions lack mechanisms for intelligence transitioning from constrained to abundant in compressed timeframes. The failure point is architectural. Modern economics functions through equilibrium. Supply balances demand. Scarcity establishes price floors. These mechanisms stop working when intelligence production costs approach zero. No scarcity remains to create balance. No natural floor exists for pricing to stabilize against. Every profession deriving value from specialized knowledge confronts identical mathematics. Medical expertise. Legal analysis. Financial strategy. When expert capability becomes universally accessible at no cost, professional credentials lose their economic premium. Experience stops justifying higher compensation. The foundational logic supporting knowledge worker salaries dissolves across entire sectors. The system assumed permanent constraints. Limited expertise. Fixed human cognitive capacity. Time requirements that couldn’t compress. AI doesn’t optimize around those constraints. It removes them as limiting factors. Traditional inflation occurs when excess currency chases scarce goods. Deflation signals demand destruction. What’s emerging operates differently. The core input driving modern value creation becomes effectively free while every price signal, compensation structure, and business model was calibrated assuming permanent scarcity. This exceeds normal economic adjustment. The global economy is learning that its operating assumptions only functioned when intelligence stayed expensive, and that condition just ended. Institutions controlling policy lack successor frameworks because existing economic theory never modeled post-scarcity intelligence. We’re discovering in real time which structures fail when the resource that defined value throughout modern economic history becomes infrastructure nobody can avoid accessing.
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Max
Max@MaxScore·
thank god it’s friday perfect time to add new pages to @manakoai’s website our competitors are probably enjoying a nice night out but here @webuildscore 24/7
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VonDoom ☕️
VonDoom ☕️@CryptoVonDoom·
"DAIS is whatever you want it to be. That’s the beauty of decentralization." On episode 125 of @FYInews_xyz, we sat down with @jfhaft from @DaisGlobal to break down why DAIS is more than just tech it's about the inalienable right to privacy. Check it out below. 👇 Sponsored by our good friends @wirenetwork
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