Hold3r Man @hold3rman

🧵 AI agents force a question about who may act. Quantum computing forces a question about how that authority stays secure. @Algorand is working on both, not as one product, but as two layers of the same problem: Authority. 👇 Start with agents. An agent may need to pay, sign, call an API or move funds. The easy design is also the dangerous one: Put the credentials inside the agent. If the runtime is compromised, those credentials become part of the attack surface. AC2 inverts that. The agent does not hold the key. It requests a specific action. The user reviews it in a wallet and approves it with a hardware-bound passkey. The agent receives the signed authorization it needs, not custody of the credential. Authority without possession. Today, that is still human-in-the-loop. The more interesting next step is scoped delegation: A signed mandate could define what an agent may do, up to which limit, and for how long. Inside those bounds, it could operate without asking every time. Control first. Autonomy second. Now consider a different threat. Most accounts still depend on elliptic-curve signatures. A sufficiently capable quantum computer could eventually put that authorization model at risk. So even perfect delegation fails if the cryptography underneath it does not age well. That is why Falcon-1024 matters. @Algorand moved it from State Proofs and earlier implementations into native, protocol-level accounts. Wallets such as @PeraAlgoWallet and @LuteWallet now let users create or upgrade to post-quantum authorization. Not a whitepaper. An account type. The underappreciated piece is rekeying. An existing account can change its authorized signing key without changing its address or moving its assets. The account stays. The authorization model underneath it can evolve. That is cryptographic agility as an actual mechanism, not a slogan. These pieces do not form one stack. AC2 is chain-agnostic: it addresses who may act and under what conditions. Falcon-1024 addresses whether transaction authorization remains secure when the threat model changes. Rekeying allows that cryptographic authorization model to evolve without changing the account itself. Zoom out and the pattern becomes interesting. One side of the ecosystem is preparing for software that acts: OpenClaw • AC2 • x402 • agentic payments Another is preparing for cryptography that must outlast today’s assumptions: Falcon-1024 • quantum accounts • key agility Different layers. Same chain of authority. The next generation of financial infrastructure has to answer three questions at once: Who can act? Under what authority? And will the cryptography proving that authority still hold in the next computing era? AI changes the first two. Quantum computing tests the third. That is why these developments are more interesting together than separately. Not because they form one finished system. Because they treat authorization as something you design before agents are everywhere and before the signature scheme has to change. Build the authority layer early. Change the cryptography later, without moving the account.

pera.algo @PeraAlgoWallet

a day ago

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Your brain has thousands of Clocks. They run at every scale, from millionths of a second to the seasons of the year. That fact turns out to be a serious problem for how today's AI is built. New blog from our science team:

Meet the new Algorand CEO, William Herkelrath. William is our guest on today's episode of Verifiably Random. He recently sat down with CSMO @marcvl to introduce himself to the Algorand community.

This is turning out to be an incredible upgrade. The $qubic leader CfB is planning to increase the number of neurons to 1024 in one go. Grok seems curious about what the new method is. Let's see if our superhuman boss can get Anna running smoothly.

@LLuciano_BTC Miss $ALGO

The Agentic Economy is coming. Where does Qubic fit in? We're joining @ for an X Space to talk it through on Sept 17 at 13:00 UTC 🗓️  AEON's vision for the agentic economy, what's next on their roadmap, and how decentralized intelligence and payments fit together.

Withdraw qubic-network:native now!

Wu Blockchain @WuBlockchain

20 hours ago

CoinEx to Shut Down After Nearly Nine Years as Crypto Slump, Compliance Costs Bite CoinEx said it will wind down operations after nearly nine years, citing a prolonged crypto-market downturn, shrinking trading volumes and liquidity, and rising regulatory and compliance costs

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CoinEx to Shut Down After Nearly Nine Years as Crypto Slump, Compliance Costs Bite CoinEx said it will wind down operations after nearly nine years, citing a prolonged crypto-market downturn, shrinking trading volumes and liquidity, and rising regulatory and compliance costs across major jurisdictions. The exchange will stop new registrations and move futures trading to reduce-only mode on Sept. 15, end futures, staking, lending and other non-spot services on Sept. 22, halt all spot trading on Sept. 29, and close withdrawals and the platform on Dec. 22. CoinEx is a long-running global crypto exchange launched in December 2017.

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algorand:native is trading inside a similar, multi-week ascending triangle on the daily as litecoin:native. These are bullish structures when developing at structure lows.

Algorand's Head of Developer Engagement & Integrations, @JorrinB, recently delivered a talk during @APIWorld Watch Jorrin present: The Next API Economy: When AI Agents Become Your Customers

Your brain was shaped by millions of years of trial and error. What worked survived, and what did not disappeared. $Qubic builds AI the same way.

I’ve said many times that the CLARITY Act is essential to ensuring America wins the global race for new technology. That’s the reason Congress passed the GENIUS Act: to ensure that stablecoin infrastructure, a revolutionary financial technology, will be built in America. Ensuring that America’s community bank sector continues to thrive has been a constant focus of mine since day one. And the administration’s dual focus on enabling new digital technology to flourish and appropriately tailoring community bank regulation is key to both sectors driving U.S. economic growth together over the next several decades. The final draft of the CLARITY Act furthers this mission. It gives the Secretary of the Treasury additional authority to act if the facts around deposit flight change to the detriment of community banks. If stablecoins cause harm to community banks, I will not hesitate to use these tools to ensure they remain fully protected. Community banks are essential to U.S. economic performance and Main Street growth. Economic security is national security, and community banks play a major role in this principle.

Who will power the next generation of payment rails? Algorand Director of Product, Alex Apeldoorn, is joining @conf3rence in Dortmund to discuss the infrastructure shaping the future of payments. 🗓 Sep 16, 10:30 CEST 📍 Dortmund, Germany

True...

Michael Burry Stock Tracker ♟ @burrytracker

a day ago

Breaking: Michael Burry says OpenAI and Anthropic are faking the AI warnings due to slow growth ahead of IPOs Below are his reasonings: 1. LLMs are not AI and won't be AGI. There is nothing AI to slow down. 2. Competition is coming up fast, slowing benefits incumbents. 3. IPOs

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FRUIT FLY BRAIN MINES BITCOIN AT POTENTIAL 10X ASIC EFFICIENCY Introducing HashFly by @FutureBit, an experimental Bitcoin miner based on a reconstructed fruit fly brain using 2,914 real neuron connections to run SHA-256. The team says that if the system could be scaled using actual organic neurons, it could theoretically hash at roughly 1 W/TH, around 10x more energy efficient than leading 3nm silicon ASICs. For now, it’s an experiment. But biologically inspired Bitcoin mining is officially a thing. x.com/FutureBit/stat…

Zebrafish NN It’s pretty amazing to learn that efforts to map the fruit FLY connectome (brain synapses) were successful and its amazing to see the digital fly brain successfully complete a whole series of tasks, including complex navigation of open worlds. The fruit fly is 160,000 neurons and 10^7 synapses. Teams are currently doing the same thing with a zebrafish which has a similar scale neuron count but 10x more synapses. Fly was 100TB raw data and Zebrafish is 200TB, so about 2x the raw data. For context a rodent is 70m neurons and 10^11 synapses. Rodents will come later. But this method looks like it creates totally outsized results with absolutely miniscule models. Zebrafish NN is a vertebrae connectome, it has much of the same basic structure as other vertebrae, unlike FLY connectome. We are just about used to LLMs and coding, but AI is really just beginning and there is a lot more, and a lot weirder stuff coming down the pipe. These connectomes have already shown to be incredibly resilient, you can blind their sensors and injure their outputs and they still succeed. They are incredibly compact. A whole lot of inanimate objects are going to get complete autonomy, totally offline, air gapped autonomy. They will be delivering pizzas and fighting wars. Connectomics is an opposite approach to LLMs but you can of course use LLMs to help develop connectomes. It’s amazing that you can take a biologically evolved brain, map it, produce a digital twin, and then run it at machine speed. Imagine a human brain accelerated from 100Hz neuron fires to 3,200,000,000Hz that a typical CPU runs at. That’s 30 million times faster. But would need 1-2 exabytes to map. Anyway “Zebrafish” is next.

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The fruit fly's brain could replace the blueprint every neuromorphic chip has been missing. Scientists spent 20 years mapping the entire nervous system of Drosophila melanogaster, a fruit fly, down to every single connection. The result: 166,700 nerve cells wired together through 124.2 million synapses, fully mapped, fully published. This isn't just a museum piece. Researchers are already running this exact connectome on neuromorphic computing chips like Intel's Loihi 2, and using it to build working computational models of how a real brain decides to eat or groom itself.

@FutureBit How can @_Qubic_ mining from this way? @c___f___b

Introducing HashFly...the first organic neuron bitcoin miner based on the fly brain. Fun fact if this could be scaled on real organic neurons, it would hash at ~ 1 watt per terahash...10x the efficiency of the best silicon 3nm ASICs!

나와버렸다.. 초파리 신경망 비트코인 채굴기 <HASHFLY> 마리당 약 200 KH/s 해시레이트, 병렬 연결 시 테라해시당 약 1 와트 해싱의 극강의 전력효율성 ㄷㄷ