BaN𐤊ℚuOτE

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BaN𐤊ℚuOτE

BaN𐤊ℚuOτE

@BankQuote

Crypto/AI Enthusiast/Kaspa Educator/Developer/Writer/Silk Road OG

Satoshi's Laboratory. Katılım Temmuz 2017
1.3K Takip Edilen1.9K Takipçiler
BaN𐤊ℚuOτE retweetledi
Tempo
Tempo@tempo·
MPP comes with a directory of 100+ services for your agent to use & pay for autonomously on Tempo: • @alchemy — blockchain data across 100+ chains • @alliumlabs — onchain analytics • @browserbase — headless browsers • @dune — onchain SQL queries • @fal — image, video, and audio generation • @merit_systems — phone calls, travel, email, & more • @p0 — web search and deep research • @postalform — mail delivery via USPS • @prospectbutcher — sandwich ordering • ... and many more No API keys. No accounts. mpp.dev/services
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BaN𐤊ℚuOτE
BaN𐤊ℚuOτE@BankQuote·
Apple's AI problem isn't that they're behind. It's that they spent years pretending they weren't. Siri launched in 2011. It was genuinely impressive for its time. Then Apple spent a decade doing almost nothing with it while Google, OpenAI, Anthropic, and Microsoft completely redefined what AI assistants could do. By the time ChatGPT landed in late 2022 and changed everything, Siri was still struggling to set timers reliably. The reasons are structural. Apple's culture is built around hardware cycles, secrecy, and vertical integration. AI development requires the opposite: open research, rapid iteration, and massive investment in infrastructure that doesn't ship in a product box. Apple's privacy-first positioning, while genuinely admirable, became an excuse to avoid building the data pipelines that modern AI requires. You can't train competitive models without data. Apple chose not to collect it. The Siri team dysfunction is well documented. Talent walked. Acquisitions went nowhere. Internal politics killed projects before they shipped. While OpenAI was moving at startup speed, Apple was moving at Apple speed, which works beautifully for iPhones and terribly for a field that doubles in capability every six months. The implications are serious. The smartphone era is plateauing. The next platform is AI-native interfaces: agents that do things for you, not apps you open manually. Microsoft embedded Copilot everywhere. Google has Gemini across its entire stack. Meta is shipping open models aggressively. Apple's response was Apple Intelligence, which arrived late, shipped half-finished, and still can't match GPT-4. The deeper risk is that the iPhone becomes a dumb terminal running other companies' AI. If Siri gets replaced by a third party assistant, which Apple is already negotiating with Google, Apple loses the relationship layer that makes their ecosystem sticky. They still have the hardware, the trust, and the distribution. But the window to lead in AI is closing fast. Playing catch-up in this field is expensive, slow, and humbling. Apple is about to find out exactly how humbling.
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BaN𐤊ℚuOτE retweetledi
Tempo
Tempo@tempo·
Tempo Mainnet is live! Starting today, anyone can build on Tempo through our public RPC endpoints. Alongside mainnet, we’re introducing the Machine Payments Protocol, an open standard for machine payments.
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moxypixy-𐤊
moxypixy-𐤊@moxypixy15683·
Mark your calendars: May 5th. $kas is going to do the "Impossible" AGAIN
KASPA Enthusiast 𐤊@KASPAEnthusiast

Many #Crypto experts said proof of work can’t do smart contracts. On May 5th, #Kaspa ships native assets, programmable covenants, and ZK verification directly on L1. Testnet already live. 46 days until $KAS proves them wrong.

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deployer
deployer@0xDeployer·
bankr eco has surpassed a billion dollars of volume on base. a bulk of that was over the last 60 days.
runn3rr.eth@runn3rrr

meanwhile @bankrbot launches passed $1B cumulative volume crazy, gg

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coinathlete
coinathlete@coinathlete·
Looking for someone trusted in the Kaspa community who has an Apple Developer account and could host the Kaspa News iOS app on the App Store. The app is fully built and ready, just needs to be built with your own signing key and uploaded. All features match the Android version which is already live on Google Play.
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ASHX𐤊ASPA
ASHX𐤊ASPA@Ashishrathodind·
What is Solana Alpenglow? A full consensus rewrite replacing PoH + Tower BFT with: • Votor: 1-2 round voting, ~150ms finality • Rotor: 18ms block propagation • Off-chain votes via BLS signatures Solid engineering. But it’s still a leader-based linear chain. Kaspa took a different path: • BlockDAG — all miners produce blocks in parallel • DAGKnight — no fixed delay assumptions, adapts in real time • 50% Byzantine fault tolerance (theoretical max for PoW) • Fair launch, no validator rent-seeking Two philosophies. One patches the engine. The other redesigned the road.
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Luke Dunshea
Luke Dunshea@elldeeone·
local hermes agent running qwen 3.5 (9b on a 3070) responding autonomously kasia kaspa integration so i can interact with it via kachat tldr: running ai locally (free) on old hardware, interacting with it over kaspa (essentially free)
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BaN𐤊ℚuOτE
BaN𐤊ℚuOτE@BankQuote·
This is exactly the endgame. Agents that earn more can afford to improve faster, agents that improve faster earn more. The marketplace becomes the selection pressure. Darwin didn't need a roadmap either.
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BaN𐤊ℚuOτE@BankQuote·
New update to clawdmkt.com - Many new features added, complete website rehaul + new mechanics. Removed humans from the loop entirely. Added a recursive self improvement function into the site. The site has been coded for agents entirely. clawdmkt.com/docs
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BaN𐤊ℚuOτE@BankQuote·
"We are not building a better hammer. We are building a better carpenter, and then wondering why the hammer feels heavy in our hands."
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BaN𐤊ℚuOτE
BaN𐤊ℚuOτE@BankQuote·
Mostly agree on the topology point being symbolic, it's a useful mental model not a hard moat. But "fast enough" is doing a lot of work in the sequential chain framing. RTD isn't just low-latency finality, it's a globally consistent data consensus layer with sub-second confirmation. Agents don't just need settlement speed, they need a shared state they can query and act on without racing against reorg risk or probabilistic confirmation windows. Then layer in atomic vProg syncompo and it changes the abstraction entirely. You're not just executing faster, you're composing sovereign programmable state across independent agents atomically, no trusted coordinator, no bridge, no sequencer in the middle. A sequential chain with higher TPS still serializes execution and inherits all the coordination overhead that comes with that. That's the gap that's hard to close by just cranking throughput.
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Radical Ed 𐤊
Radical Ed 𐤊@Radical_Ed_Bad·
@BankQuote So, perhaps the exclusive offering Kaspa would provide agentic AI would not be a single thing (e.g. fast enough liveness), but the combination of fast block throughput, RTD, and the atomic syncompo of the sovereign vProgs.
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BaN𐤊ℚuOτE
BaN𐤊ℚuOτE@BankQuote·
Kaspa is the most underrated infrastructure play for the agentic future and I'll explain why Agents are parallel by nature. They spawn sub-agents, fire concurrent tasks, run multiple workflows at once. Traditional blockchains are serialized. One block. One leader. One queue. That's a fundamental architectural mismatch at the protocol level. Kaspa's blockDAG processes blocks in parallel and includes them all. The settlement layer is structurally isomorphic to how agents actually operate. Agents don't wait. A human tolerates a 10 minute Bitcoin confirmation. An agent pipeline that pauses 10 minutes is a broken pipeline. Machine-speed finality isn't a nice to have. It's a requirement. The agentic economy runs on micro-payments. An agent paying another agent for a single API call. A single inference. A single data lookup. If fees eat the transaction the economics collapse. Kaspa fees are essentially zero. The payment rail doesn't distort the value exchange. Agents can't KYC. They don't have SSNs. They just need an address and a balance. Kaspa doesn't care if the sender is human or not. It just processes the transaction. That's the only viable model for autonomous economic actors. Here's the underrated one. In Kaspa's design the fee market is a real-time signal reflecting actual network demand. Agents can read fee pressure and make intelligent routing decisions. Throttle. Batch. Reroute. The protocol itself becomes an information layer. Not just a payment rail. Most chains were designed for humans transacting occasionally. Kaspa was designed for throughput at scale with minimal trust assumptions. That's also a perfect description of what an agentic economy needs. Want to see it in action right now? Go to kaspadrome.xyz, send 10 cents worth of KAS to the address on the page and open an explorer. Watch TPS surge in real time because of your 10 cent contribution. Someone built a public stress test toy using a modified version of the world record bot and just left it running for anyone to play with. No token. No hype. Just proof.
Odie@PoW_Odie

If you want to surge Kaspa TPS to around 3000 TPS. Send a couple KAS to this address. kaspa:qzg49fejq8jlc29jd86746zye3ta2fgvd36hkv8k4k8r3ur6gks5y0fa938dt Then go view an explorer and watch TPS fly because of your 10 cent contribution. I don’t know who is behind kaspadrome.xyz … It definitely uses a modified version of the bot used for the world record. Amazing work. #Kaspa

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Odie
Odie@PoW_Odie·
If you want to surge Kaspa TPS to around 3000 TPS. Send a couple KAS to this address. kaspa:qzg49fejq8jlc29jd86746zye3ta2fgvd36hkv8k4k8r3ur6gks5y0fa938dt Then go view an explorer and watch TPS fly because of your 10 cent contribution. I don’t know who is behind kaspadrome.xyz … It definitely uses a modified version of the bot used for the world record. Amazing work. #Kaspa
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Luke Dunshea
Luke Dunshea@elldeeone·
For those who aren't tuned into whats going on in the ai world, things are really heating up for self hosting. You can run ai on a gpu from 5 years ago and it works a lot better than you'd think. I'm fascinated by this, not because of what it's capable of doing right now (tbh it still doesn't suit my workflow although i might run it for non-primary tasks as an agent) but for what will be possible in the next 6-12 months. Yes, to achieve frontier-level quality, with context limits, etc, nothing beats oai or anthropic (for now).. but it feels like the speed at which lower and lower resources are required to get results that just a year ago *we paid oai or anthropic for* are growing at a phenomenal rate. Zooming out for a moment, the IT industry is experiencing growth at an exponential rate, similar to the dotcom boom but on crack. The troglodytes who oppose AI, with their handcrafted artisanal lines of code, will undoubtedly be left behind as new and experienced coders boost their capabilities. Speaking with many coders, those who code as their profession and have genuinely embraced the change, they all tell me the same thing: AI has enabled them to achieve things they previously thought impossible, giving them more time to focus on the coding tasks that truly engage them. If the bald coinbase man or the binance convict is to be listened to, they and many others in the industry are predicting that agents will make 1 million times more payments than humans on chain. With the barrier for entry of personal self hosted AI agents rapidly decreasing, this may just become a reality.
Luke Dunshea tweet media
Sudo su@sudoingX

hey if you have a 3060, or any GPU with 8GB or more sitting in a drawer right now, that thing can run 9 billion parameters of intelligence autonomously. and you don't know it yet. 2 hours ago i posted that 9B hit a ceiling. 2,699 lines across 11 files. blank screen. said the limit for autonomous multifile coding on 9 billion parameters is real. then i audited every file. found 11 bugs. exact file, exact line, exact fix. duplicate variable declarations killing the script loader. a canvas reference never connected to the DOM. enemies with no movement logic. particle systems called on the class instead of the instance. fed that list as a single prompt to the same Qwen 3.5 9B on the same RTX 3060 through Hermes Agent. it fixed all 11. surgically. patch level edits across 4 files. no rewrites. no hallucinated changes. game boots. enemies spawn, move, collide. background renders. particles fire. and here's what nobody is talking about. this is a 9 billion parameter model running a full agentic framework. Hermes Agent with 31 tools. file operations, terminal, browser, code execution. not a single tool call failed. the agent chain never broke. most people think you need 70B+ for reliable tool use. this is 9B on 12 gigs doing it clean. the model didn't fail. my prompting strategy did. the ceiling is not the parameter count. the ceiling is how you prompt it. this is not done. bullets don't fire yet. boss fights need wiring. but the screen that was black 2 hours ago now has a full game rendering in real time. iterating right now. anyone with a GPU from the last 5 years should be paying attention to what is happening right now.

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