Netanyahu Was Personally Warned Of An Imminent Attack Days Before Oct. 7 But Didn't Act: Report. The prime minister received a warning from the leader of the United Arab Emirates, according to two top Israeli journalists, who are launching a new book on the matter.
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The moment the US President’s peace envoys left, Putin launched another massive, horrific attack against Kyiv, damaging residential areas and killing at least two people.
His ballistic missiles speak louder than his words on diplomacy. Strike after strike on residential buildings brings him no closer to winning this war—it is nothing but senseless terror.
This proves that no decisions by our allies can be put on hold. Every delay is measured in lives.
Every interceptor provided to Ukraine now is a saved life. Missiles in stocks, including those nearing their expiry date, should work to protect Ukrainian skies.
It is also time to follow Germany’s lead and close all “Russian houses” in Europe. Russian influence networks cannot be allowed to continue operating while Russia refuses to end its war of aggression.
We urge our allies to act and increase pressure on the aggressor. Pressure on Moscow advances diplomacy—it does not obstruct it. Stronger pressure brings peace closer.
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The moment the US President’s peace envoys left, Putin launched another massive, horrific attack against Kyiv., damaging residential areas and killing at least two people.
His ballistic missiles speak louder than his words on diplomacy. Strike after strike on residential buildings brings him no closer to winning this war—it is nothing but senseless terror.
This proves that no decisions by our allies can be put on hold. Every delay is measured in lives.
Every interceptor provided to Ukraine now is a saved life. Missiles in stocks, including those nearing their expiry date, should work to protect Ukrainian skies.
It is also time to follow Germany’s lead and close all “Russian houses” in Europe. Russian influence networks cannot be allowed to continue operating while Russia refuses to end its war of aggression.
We urge our allies to act and increase pressure on the aggressor. Pressure on Moscow advances diplomacy—it does not obstruct it. Stronger pressure brings peace closer.
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Arthur Hayes: Does Bitcoin Need the CLARITY Act to Go Up?
In an August 2026 video interview with Altcoin Daily @AltcoinDaily , BitMEX co-founder Arthur Hayes @CryptoHayes said he doesn't hate the CLARITY Act — but it's a moat-building tool for projects that spend more on lawyers, and it's terrible for real creativity and builders of useful products in US crypto. Bitcoin never needed the CLARITY Act since 2009; what it needs is Bessent expanding Treasury buybacks overnight or the Fed printing money to help Japan swap Treasuries for cash. The biggest rally in recent history came because the market finally realized the US debt problem is real and yield curve control is coming. His advice to Trump: just veto it.
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Arthur Hayes: Does Bitcoin Need the CLARITY Act to Go Up?
In an August 2026 video interview with Altcoin Daily @AltcoinDaily , BitMEX co-founder Arthur Hayes @CryptoHayes said he doesn't hate the CLARITY Act — but it's a moat-building tool for projects that spend more on lawyers, and it's terrible for real creativity and builders of useful products in US crypto. Bitcoin never needed the CLARITY Act since 2009; what it needs is Bessent expanding Treasury buybacks overnight or the Fed printing money to help Japan swap Treasuries for cash. The biggest rally in recent history came because the market finally realized the US debt problem is real and yield curve control is coming. His advice to Trump: just veto it.
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Self-Sovereign GraphQL in Every Browser
Arweave holds the data and the index; PermawebOS gives every user a node that can answer and prove its own queries.
The third principle of Arweave is “Guarantee the right to listen”. In cyberspace, you can only hear if you can actually discover the data. On the permaweb, that’s made possible with GraphQL.
GraphQL provides a critical link in the composability architecture of the permaweb: allowing all apps to build on top of the same, shared content lake, joined by a single global index. Arweave transactions are posted with tags, discoverable by wallet address, or the block they were mined into, but GraphQL is the layer that lets users and applications see all data matching these queries. Without it, there’d be no way to find data matching criteria, or build data protocol-based apps.
It’s one of the permaweb’s core utilities, but until now it has been confined to the realm of enterprise-grade hardware. Services like that are usually incredibly difficult to decentralize because the hardware requirements are high and the incentives are low. The permaweb’s GraphQL services so far have depended on building and maintaining gargantuan off-chain indexes of more than 76 billion rows: scanning the historical chain, keeping it current and serving it quickly. In practice, this has meant that permaweb apps inherit the availability and policy of a tiny number (often two, sometimes – like today – even just one) of hosted indexers which had no incentive to adopt a decentralized model.
Offset queries (queries that seek, intersect and page by weave position) will change everything about how Arweave’s query layer is served. HyperBEAM's offset-query path makes the index compact enough to publish on Arweave, orders it by weave offset, and lets any node or client query the relevant pages directly.
(txid)
This is not another centralized GraphQL service, and it’s not just a way to make GraphQL more available to node operators. It is a method that makes GraphQL execution so lightweight that it can be run directly on users’ browsers, with Arweave nodes simply serving them data chunks.
Hyperoptimized GraphQL with Offsets
All pieces of data in Arweave already have unique positions in the weave – every byte is either ‘before’ or ‘after’ every other byte. We call these byte positions in the network offsets. In March, we showed how any transaction on the weave can be referenced by its offset as a name -- short, deterministic values like 101t.arweave.net, derived only from the data’s onweave properties.
That same offset property gives us more than a way to retrieve bytes. It also can power queries because it gives us a common ordering that can be reused across every possible match in an index.
The new match index stores rows using three extremely compact values:
a hash of the field name being matched;
a hash of the value that is present;
the weave offset of the item carrying that predicate.
Each potential match is compressed into an average of just ~9.5 bytes per row, each stored in an onweave ArLMDB database. By utilizing Arweave chunks as batches of LMDB pages, ArLMDB allows us to traverse the database to find any specific node with only a few individual Arweave node requests. By organizing rows into the compressed components 1-3 above, a query with two or three factors to match can walk those ordered sets together, advancing whichever cursor is behind until the offsets meet – a ‘leapfrog’ version of the same flow as a single lookup. Critically, finding the intersection is part of finding the results for each match criteria -- not a second step.
The same ordering solves pagination -- page fifty can seek to its starting offset instead of replaying pages one through forty-nine. Offset lookups give results a stable order without adding another ordering database.
AO Compute; Arweave the Shared Hard Drive
LMDB is normally a local database file. HyperBEAM's new arlmdb store reads that database from Arweave instead.
Try decentralized GraphQL from your browser
This is already proven at production scale with item lookup. A 622 GiB transaction contains the locations of over 70 billion rows. HyperBEAM reads the database where it sits. A cold lookup traverses it with three Arweave chunk requests; once the shared branches are cached, another lookup needs just one. The ArLMDB implementation is merged into HyperBEAM and used for ID lookups from Arweave.
With an immutable index on Arweave, anyone can read it without trusting the publisher to keep a query endpoint online. Like the Arweave schedulers powering Bazar, this is another example of AO employing Arweave as the source of truth, and using it to power the permaweb.
Instead of every query operator repeating the historical sweep and building the same large database, nodes serve chunks while the client traverses the index locally. The node's job is reduced to serving bytes quickly. It does not decide which results exist, execute the filter or ask the application to trust its view of the weave. The live tip still needs rolling indexes, but the expensive historical work no longer has to be repeated by every participant.
The client does not even need the whole database (depending on optimization, we’ve seen database sizes anywhere between 1 and 60 terabytes). The production offset index already demonstrates the access pattern: in the live chunkar browser demo, the second arbitrary lookup needs only around half a megabyte of new index data to traverse the full offset index. The match index works the same way. It traverses the pages needed for the requested predicates, intersects the ordered rows, reads the candidate items and checks that they actually carry the fields requested by the query. This is lightweight enough to make it so that every user can be their own personal no-dependency GraphQL service provider, with provable data, from the browser.
As well as the browser playground, today you can use the arlmdb.js library to integrate Arweave-stored database lookups into UIs.
From Centralized Node to Self-Sovereign Service
Today an application sends a GraphQL request to a server that already holds an index. With a published offset index, the application can instead hold a locator and a cache.
A HyperBEAM node can do that, but one way we imagine most users will access the query layer is through the browser: a user's application fetches Arweave chunks, keeps the hot index pages locally and performs the query for itself. This can be baked into the PermawebOS browser extension along with the local AO node the extension already spawns. This shift brings more and more AO services that were previously hosted (on exclusive TEE hardware) into a local-first environment. The stack is becoming so lightweight it’s able to be run cheaply, per-user, as background services in the browsers, phones and laptops everyone already has.
Previous designs for a decentralized GraphQL layer were unable to answer the question of trust without TEEs. How can you be sure that the response you get back from a GraphQL server has arrived complete and uncensored? While PermawebOS node architectures like LapEE and AndEE solve the trust question in theory, in practice the job of indexing the entire blockweave is too big for small workers.
Offset queries over onweave LMDB data -- made lightweight enough to traverse and prove by any browser -- change the equation entirely.
The browser never asks a server to decide the answer. It asks nodes for the exact index chunks it needs and walks the authenticated LMDB pages itself, intersecting the offset-ordered sets locally.
The new schema provides chunks and Merkle paths for each page accessed; the recipient can repeat the exact same work and see that they get the same complete set, with no missing results. The hashpath signs the request + response pair, and the validator can trivially repeat the work, whether on a node or in a browser. The resulting item is then bound back to its ANS-104 ID. A node can withhold bytes and make itself unavailable, but it cannot alter a row, skip a qualifying result or invent one without breaking the proof.
The Personal Permaweb Stack
Decentralizing GraphQL does not necessarily require a decentralized fleet of GraphQL servers. The permaweb is unique in that it combines a decentralized permanent storage layer with everyday web semantics. HTTP, lightweight proofs, and browser-based nodes handle the workload when the logic is optimized enough to sidestep expensive hardware.
The network holds the whole index. Each user keeps only the path to their answer.
With PermawebOS putting an AO node in every browser and LapEE turning abundant consumer hardware into secure bundlers, schedulers and tunnels, local GraphQL pushes the permaweb towards a cyberspace everyone can own.
Read this on the Permaweb:
https://ao.arweave.net/#/blog/self-sovereign-graphql-in-every-browser
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Last week in Bitcoin:
→ Bitcoin held the low $80Ks, printing a weekly high near $82K on September 3 (its highest since May) before a blowout August jobs report pushed it back under $80K, up roughly 2% on the week.
→ The Liquid Network was paused after roughly 4,000 BTC (~$320M) left the Blockstream-run Federation wallet via an Elements software bug.
→ The UK's Hargreaves Lansdown opened nine crypto ETNs to its ~2M retail clients, nearly a year after ban was lifted.
→ France's Capital B ran a rare raise-and-buy in a single announcement on September 7, adding 376 BTC via a €30.1M raise to reach 3,521 BTC group-wide.
→ US spot Bitcoin ETFs pulled in $986.9M for the week (third straight positive week, IBIT led at $691.5M).
→ 21Shares said it will commit its own BTC treasury to the Stacks Genesis Bond for institutional Bitcoin staking launching September 10.
→ The CLARITY Act's fate hinges on a September 15 Senate cloture vote needing 60 votes, with stablecoin rewards, ethics rules, and AML provisions still unresolved.
→ Optech #421 advanced post-quantum work with two new proposals (SHRINCS and DropKick) alongside a Core Lightning DoS fix.
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Our CEO, Dr. @bengoertzel, has responded to the @BernieSanders–Casar “Ban Artificial Superintelligence Act,” which would permanently prohibit the development and deployment of superintelligent AI, pause advanced AI development pending federal review, and direct US foreign policy toward preventing superintelligence from being built anywhere in the world.
The legislation focuses on the concentration of frontier AI development among a small number of large corporations. Dr. Goertzel agrees that this concentration creates a problem and supports external audits, incident reporting, and independent technical oversight. He disagrees with prohibition as the response.
AGI development does not depend on a scarce physical resource that can be controlled through international agreements. The research consists of mathematics, software, published algorithms, and commodity hardware. A global ban would therefore require surveillance of general-purpose computing while leaving states, military programs, and other actors outside that system able to continue their work.
The effect on open development is a central concern. A ban carrying severe criminal penalties would be easier to enforce against researchers who publish their work, open-source their code, and collaborate across institutions than against programs operating in secret. “It selectively destroys the development that is visible, which is to say, the open, decentralized, academically published, internationally collaborative work, while leaving intact the development that is hidden.”
The proposed pause on advanced AI development raises another issue. Establishing a new federal agency and review process could favor companies with large compliance teams and existing relationships with regulators. The result could be greater advantage for the same incumbents the legislation seeks to constrain.
Dr. Goertzel proposes a different approach centered on public compute, open development, external oversight, cognitive-liberty protections, and mechanisms for distributing AI-generated economic gains. The question he puts forward is “under whose control, with what values, and toward whose benefit.”
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Our CEO, Dr. @bengoertzel, has responded to the @BernieSanders–Casar “Ban Artificial Superintelligence Act,” which would permanently prohibit the development and deployment of superintelligent AI, pause advanced AI development pending federal review, and direct US foreign policy toward preventing superintelligence from being built anywhere in the world.
The legislation focuses on the concentration of frontier AI development among a small number of large corporations. Dr. Goertzel agrees that this concentration creates a problem and supports external audits, incident reporting, and independent technical oversight. He disagrees with prohibition as the response.
AGI development does not depend on a scarce physical resource that can be controlled through international agreements. The research consists of mathematics, software, published algorithms, and commodity hardware. A global ban would therefore require surveillance of general-purpose computing while leaving states, military programs, and other actors outside that system able to continue their work.
The effect on open development is a central concern. A ban carrying severe criminal penalties would be easier to enforce against researchers who publish their work, open-source their code, and collaborate across institutions than against programs operating in secret. “It selectively destroys the development that is visible, which is to say, the open, decentralized, academically published, internationally collaborative work, while leaving intact the development that is hidden.”
The proposed pause on advanced AI development raises another issue. Establishing a new federal agency and review process could favor companies with large compliance teams and existing relationships with regulators. The result could be greater advantage for the same incumbents the legislation seeks to constrain.
Dr. Goertzel proposes a different approach centered on public compute, open development, external oversight, cognitive-liberty protections, and mechanisms for distributing AI-generated economic gains. The question he puts forward is “under whose control, with what values, and toward whose benefit.”
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Ledger CTO: 4,000 BTC Pegged Out of Liquid Bridge, “Whitehat” Claim Raises Doubts
Ledger CTO Charles Guillemet said about 4,000 BTC were pegged out of the Liquid bridge, with an OP_RETURN message stating, “we are whitehats. contact us on chain.” He argued that white hats do not drain a bridge and then solicit contact on-chain, saying the situation echoed the Ronin hack, where attackers compromised validator keys to steal roughly $625 million, while the “let’s talk” framing resembled the approach used by the Euler attacker to negotiate a return of funds after the exploit. Blockstream has responded on-chain, asking the party to contact its security team.
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The Latest Act from Lane Kiffin's College Circus: Winning Actual Football Games -- WSJ
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We’ve finally reached a point where crypto has tangible use cases reaching the mass market. Through Coinbase and Robinhood integrations alone, Morpho now serves hundreds of thousands of active US consumers.
This matters because it can activate two critical flywheels for the ecosystem: 1. regulation and 2. talent:
1- Even if we don’t get the CLARITY Act this month, delivering real value to consumers is the best way to prove to regulators, regardless of party, that this industry matters beyond speculation.
2- The best talents want to have an impact on the world. Crypto has struggled to attract it partly because we haven’t demonstrated enough real-world value. This is now changing.
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quote: Antonio Gramsci – The Most Dangerous Intellectual of the Twentieth Century.
Not the most famous. Not the most read. The most dangerous and the most consequential – because he was the one who figured out why the revolution kept failing, and what to do instead. The man who invented the long march through the institutions.
Everything that followed — the Frankfurt School, the Fabian Society’s operational model, the WEF formation pipeline, the captured university, the HR department enforcing approved speech — is downstream of what he wrote in a prison cell in Mussolini’s Italy, in code, between 1929 and 1935.
1. His central question: why hasn’t it happened? The working class was supposed to rise. The contradictions of capitalism were supposed to produce the revolution. They hadn’t – not in the West. Gramsci’s answer was precise and devastating: because the ruling class does not maintain power through force alone. It maintains power through cultural hegemony – the control of the ideas, values, and frameworks through which people understand the world. The worker who accepts that the existing order is simply how things are will not revolt, regardless of his material conditions. The revolution requires cultural change first.
2. The instrument was the long march through the institutions. Not the barricade. The school, the university, the media, the judiciary, the civil service, the cultural establishment – every institution through which a civilization transmits its values to the next generation. Capture these, fill them with people who share the counter-hegemonic project, and the cultural assumptions that maintain the existing order gradually dissolve. No barricades. No visible moment of rupture. Just the slow replacement of one cultural hegemony with another.
3. The educational capture was the masterpiece. Control the curriculum and you control the categories of thought available to the next generation. Not by telling them what to conclude – by shaping what questions they think to ask, what they consider obvious and what they consider unthinkable. The generation educated after the long march does not need to be told what to think. It thinks what it was formed to think – and experiences that thinking as its own.
4. He also theorized the organic intellectual – the person who translates the theoretical framework into stories and assumptions that circulate through the culture without appearing ideological. The film that makes the existing order seem absurd. The journalist who frames every story within the approved assumptions. Gramsci understood that culture is politics by other means – and that the side that controls the culture wins, regardless of who wins the elections.
5. This is not a conspiracy theory. It is a published, documented, widely taught strategy that the left implemented consciously across the entire Western world. The 1968 generation put it into practice in the universities. They became the professors, the journalists, the civil servants, the judges, the HR directors of the decades that followed. The march took fifty years. It worked.
6. Mussolini’s prosecutor said at his trial: "We must stop this brain from functioning for twenty years." The brain did not stop. It produced thirty-three notebooks – smuggled out, published, and became the most widely read Marxist text in the Western academy after Marx himself. Gramsci died in 1937, six days after his release, at forty-six. He did not see the march he theorized. He did not need to.
7. Every captured institution, every transformed curriculum, every HR department enforcing approved speech, every content moderation policy suppressing the unauthorized voice – all running the program Antonio Gramsci designed in a prison cell, by a brain that was supposed to have been stopped. It wasn’t. And neither was the march.
Until now – because the distribution monopoly that made its outcomes enforceable is cracking. The counter-march has begun. It just doesn’t have a name yet. | The Most Destructive Intellectual Project of the Twentieth Century.
The Frankfurt School. You should know what it was, what it built, and why you are still living inside it.
1. The Institute for Social Research was founded in Frankfurt in 1923 and relocated to Columbia University in 1934 when Hitler came to power. The civilization they had decided to dismantle gave them refuge when another tried to kill them. They spent the next five decades producing the theoretical infrastructure for that dismantling. Western civilization itself was the problem: reason, the Enlightenment, the family, tradition, authority. Not reformed. Dismantled.
2. They called it Critical Theory – and the name is the program. Everything is to be criticized; nothing is to be built. In The Dialectic of Enlightenment (1944), Adorno and Horkheimer argued that Western reason — the reason that produced Newton and the rule of law — contained the seeds of Auschwitz. Not that reason had been misused, but that reason itself, taken to its conclusion, produces the death camp. This was not a critique of institutions. It was an indictment of the civilization itself.
3. Adorno gave them the psychological weapon. The Authoritarian Personality (1950) classified conservatism, religious faith, patriotism, and the traditional family not as political positions but as symptoms of a proto-fascist personality. If you believe in the nation or the father’s authority, you are pre-fascist. The opponent was no longer wrong – he was sick. You don’t argue with a pathology. You treat it.
This made dialogue impossible. You don’t persuade someone who is wrong; you diagnose someone who is sick. Politics becomes therapy, and disagreement becomes pathology.
4. Marcuse gave them the political weapon. Repressive Tolerance (1965) argued that tolerating wrong ideas is itself oppression. True tolerance therefore requires suppressing intolerant ideas. The left decides which ideas are intolerant. Everyone else is silenced – not despite tolerance, but "in its name." Censorship dressed in the vocabulary of liberation.
5. The generation that read Marcuse at Columbia, Berkeley, and Yale went on to run universities, media, foundations, NGOs, content moderation departments, and the EU regulatory apparatus. They implemented the argument sincerely because they had been taught it as philosophy. This was the Frankfurt School’s greatest achievement: it produced true believers.
6. French Theory picked up the tools and made them aesthetic. Foucault made the critique of power literary. Derrida made the critique of meaning philosophical. Deleuze made the critique of identity elegant. A political program became a cultural sensibility. You can argue with a program. A sensibility is in the air you breathe. By the time these ideas reached the American campus through the French conduit, they were no longer ideology. They were the water. The fish did not know they were wet.
7. A civilization stands on three pillars: truth exists and is accessible to reason; good is distinguishable from evil; and there is an inheritance worth transmitting. The Frankfurt School attacked all three – systematically and with considerable intellectual sophistication. It produced a generation that knows how to deconstruct and has forgotten how to build. That sees power everywhere and beauty nowhere.
The ultimate achievement was to make destruction feel like progress. Every inherited institution became suspect; every constraint became oppression; every act of preservation became reactionary. Deconstruction became the default, while construction became something that needed to justify itself.
The answer is not another theory.
It is the thing the Frankfurt School most feared: the builder who simply builds, the scientist who follows the evidence, the father who transmits what was transmitted to him.
The deconstruction machine runs on the assumption that nothing is worth building.
Prove it wrong.
Tell the truth, have courage, and build.
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MIT reports that brands will find success with a complete agentic AI environment where agents plan, retrieve, remember, and act reliably at scale.
But it depends on the right foundation and system compatibility.
@Fetch_ai provides the agent infrastructure needed above that compute layer: building, orchestration, discovery, interoperability, identity and verifiable execution.
https://www.technologyreview.com/2026/07/27/1140668/building-the-enterprise-environment-for-agentic-ai/
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MIT reports that brands will find success with a complete agentic AI environment where agents plan, retrieve, remember, and act reliably at scale.
But it depends on the right foundation and system compatibility.
@Fetch_ai provides the agent infrastructure needed above that compute layer: building, orchestration, discovery, interoperability, identity and verifiable execution.
MIT reports that brands will find success with a complete agentic AI environment where agents plan, retrieve, remember, and act reliably at scale.
But it depends on the right foundation and system compatibility.
http://Fetch.ai provides the agent infrastructure needed above that compute layer: building, orchestration, discovery, interoperability, identity and verifiable execution.
https://www.technologyreview.com/2026/07/27/1140668/building-the-enterprise-environment-for-agentic-ai/
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MIT reports that brands will find success with a complete agentic AI environment where agents plan, retrieve, remember, and act reliably at scale.
But it depends on the right foundation and system compatibility.
http://Fetch.ai provides the agent infrastructure needed above that compute layer: building, orchestration, discovery, interoperability, identity and verifiable execution.
Enhance Your DeFi Strategy with Bonzo Finance's Innovations on Hedera
Recap, a look back at an earlier Hedera session. If you're navigating the exciting world of Decentralized Finance (DeFi), you've certainly come across the essential role of managing liquidity. With current market conditions testing many protocols, Bonzo Finance's recent session offered eye-opening insights into how their innovative solutions are evolving liquidity management. Bonzo Vaults stand as a beacon, surpassing $1 million in Total Value Locked (TVL), showing remarkable resilience and growth. Here's everything you need to know to stay ahead and use these tools effectively. 🔗 Key Links 📺 Watch the full livestream → Building AI Agents on Bonzo Finance (https://www.youtube.com/watch?v=P5Iw0XCr1UY) 📄 Explore Hedera Docs → Hedera Documentation (https://docs.hedera.com) 🛠� Engage with the Community → Hedera Discord (https://hedera.com/discord) 📌 TL;DR Bonzo Finance strengthened Hedera's DeFi suite with a $60M TVL in favorable markets. Bonzo Vaults exceeded $1M in TVL; the beta test is ongoing. Yield on USD-HBAR vault shows potential with up to 92.2% 30-day APY. LayerZero Stargate integration for cross-chain liquidity is forthcoming. Developers are equipped to optimize market strategies using these advancements. Bonzo Finance on Hedera: Unveiling Opportunities A New Era for DeFi Protocols Bonzo Finance's session was a testament to its continual growth in the DeFi landscape on the Hedera network, underscoring the pivotal role their solutions play in amplifying liquidity. At the heart, Bonzo Lend, their flagship lending protocol, soared with over $60 million in TVL during favorable market conditions, maintaining a solid $19 million today. Even amid market volatility, Bonzo Vaults' performance is impressive, consistently topping $1 million in TVL. This achievement reflects a strong community backing and an endorsement of the platform's capacity for optimizing returns. Bonzo Vaults: Architectural Innovation Bonzo Vaults stand out with their non-traditional approach that goes beyond the conventional ERC-4626 standard, introducing a dual-layer architecture. This strategy separates 'vault' contracts managing deposits from 'strategy' contracts that handle external engagements, providing unmatched flexibility to align strategies with market dynamics. A significant innovation came through their concentrated liquidity management strategy. Unlike the traditional methods of constant rebalancing, Bonzo Finance smartly opts for adjustments only when market shifts necessitate it, reducing resource use without sacrificing output. This approach is vital for developers looking to enhance efficiency and maximize returns strategically. Project Demo: Yield Optimization During a live demo, Bonzo Finance showcased how smart contracts in Bonzo Vaults activate yield-generating strategies. This demonstration highlighted interactions where deposits are strategized dynamically, tailored for various asset classes. Key performance metrics drove the point home: DOVU single asset vault: Offers a 7-day APY of 35%. USD-HBAR dual asset vault: Provides dual returns, with a 7-day APY of 61.9% and an impressive 30-day APY reaching 92.2%. These figures serve as powerful proof of concept and motivation for developers to delve into yield optimization strategies backed by cutting-edge technology. Key takeaway: Bonzo Vaults' architecture innovates liquidity management, reducing unnecessary actions while amplifying profitability.
The Technical Backbone of the Bonzo Ecosystem Bonzo Lend and Vaults: The Mechanics Deep within Bonzo's workings, custom smart contracts govern the functionality of Bonzo Lend and Vaults. They capitalize on automated mechanisms to optimize asset allocation strategy, maximizing the operational efficiency tied to returns. While specific APIs and contract addresses were not shared, Bonzo's session illuminated smart contract methodologies. You can adjust contract parameters regarding amount, frequency, and employed strategies, ensuring that they retain a high degree of adaptability and responsiveness. AI-Driven Rebalancing Strategies Elevating their platform, Bonzo Finance integrates advanced AI to enhance asset management. This innovation automates decision-making using real-time market data, which is a significant advancement for managing numerous liquidity positions with accuracy. Through market predictors, you can simulate and implement optimal strategies to increase yield without needing manual tweaks. This predictive AI application crafts an insightful roadmap, helping anticipate potential market maneuvers. Preparing for Cross-Chain Expansion Embracing the future, Bonzo Finance is set to integrate LayerZero Stargate, extending its liquidity capabilities across chains. This move empowers developers to orchestrate liquidity beyond Hedera's ecosystem, marking a pivotal step toward multi-chain yield optimization strategies. When this becomes reality, expect heightened interoperability through bridge contracts. This could redefine cross-chain liquidity and asset exchanges, paving the way for a new era of expansive risks and opportunities. Key takeaway: Bonzo Finance's AI strategies coupled with cross-chain expansion avenues empower you with pioneering tools for managing assets and liquidity more effectively.
Your Building Blocks on Hedera Using Bonzo's Platform for Innovation Bonzo Finance offers fertile ground for you to devise, structure, and launch novel financial services on Hedera. Here are pathways you can explore: Yield Optimization Models: Using Bonzo Vaults, you can craft sophisticated models to boost yields even in fluctuating markets. Existing strategies act as a template, while you adapt to market shifts to maximize high-yield opportunities. Cross-Chain Liquidity Solutions: As LayerZero Stargate materializes, use Hedera as a principal node in your DeFi endeavors, expanding beyond traditional boundaries into a cross-chain liquidity flow system. AI-Powered Rebalancing: Bonzo equips you with AI tools that streamline rebalancing efforts, reducing costs while addressing liquidity drifts. Design a decentralized protocol that adapts its strategies automatically. Efficient Building with Bonzo's Features Kickstart your DeFi projects on Bonzo Finance with these tactical steps: Conduct an in-depth review of Bonzo's smart contract structures to absorb best vault creation practices. Use performance data from operational vaults to polish your strategy, especially focusing on untapped assets and their combinations. Develop a prototype using Bonzo's strategies, ensuring you draw on comprehensive yield optimization potential. Gear up your infrastructure for the imminent cross-chain capabilities to exploit liquid access and performance gains. With Bonzo's development landscape, rapid deployment is facilitated through pre-fabricated layers, minimizing setup times and allowing you to bolster functionality that directly impacts user interaction. Key takeaway: Engaging Bonzo's ecosystem offers dynamic possibilities for crafting innovative DeFi solutions anchored in Hedera's ever-evolving infrastructure. Resources to Deepen Your Engagement Hedera Documentation: Explore Technical Guides (https://docs.hedera.com) Join the Hedera Community: Connect on Discord (https://hedera.com/discord) Official Livestream Source: Building AI Agents on Bonzo Finance (https://www.youtube.com/watch?v=P5Iw0XCr1UY) Are you using Bonzo Finance's advanced capabilities in your Hedera project? We'd love to hear how you're building on this transformative DeFi platform. Showcase your projects and join the conversation. Understanding Bonzo Finance's Ecosystem Components of the Bonzo Ecosystem The Bonzo Finance ecosystem is robust and strategically designed to enhance liquidity on the Hedera distributed ledger. As a builder, understanding the core components of Bonzo will empower you to use its tools for your decentralized applications. The ecosystem includes: Bonzo Lend Protocol: This protocol is central to Bonzo's offerings, enabling lending and borrowing within the Hedera ecosystem. It was developed by forking the Aave V2 protocol, a well-established lending protocol in the Web3 space. The team had to modify the contracts for compatibility with Hedera Token Service (HTS) and ensure seamless integration with SaucerSwap and other Hedera-native services. Bonzo Vaults: These provide automated yield optimization through liquidity provisioning on platforms like SaucerSwap. The vaults employ harvester bots for automatic rebalancing and yield compounding, allowing users to maximize their returns effortlessly. Bonzo Bridge: Integrating with LayerZero's Stargate protocol, Bonzo Bridge aims to facilitate cross-chain liquidity. This feature is expected to be a game-changer for Hedera, allowing liquidity to flow seamlessly between chains and expanding the reach of your DeFi applications. Understanding these components will help you optimize your strategies and build more efficient decentralized solutions on Hedera. The Role of Harvester Bots One of the standout features of Bonzo Finance is its use of harvester bots within the Bonzo Vaults. These bots are crucial for maintaining and maximizing your yield in a hands-off manner. Here's how they work: Automated Yield Compounding: Harvester bots automatically compound the yield derived from liquidity pools, ensuring that your returns are continually reinvested to maximize profitability. Continuous Rebalancing: The bots monitor market conditions and perform continuous rebalancing of assets within the vaults. This means your investment remains optimized for the highest possible returns without manual intervention. Seamless User Experience: With the automation provided by harvester bots, you can focus on other aspects of your DeFi strategy. The bots handle the complexity of yield farming, so you don't have to. By leveraging harvester bots, Bonzo Finance simplifies the yield optimization process, making it accessible to both novice and experienced DeFi participants.
Building AI Agents with Bonzo Finance Integrating AI Agents in DeFi Bonzo Finance's integration with AI agents represents a forward-looking approach to decentralized finance. As a developer, you can enhance your DeFi applications by incorporating AI-driven strategies that automate decision-making and optimize financial interactions. Contextual AI Prompts: When building AI agents, it's crucial to provide contextual prompts. For instance, using Bonzo's comprehensive data on liquidity and yield, AI agents can make informed decisions that align with market trends and user preferences. Agentic Coding Frameworks: Tools like Claude code and Codex allow for the development of smart AI agents that can interact with Bonzo's protocols. These frameworks help automate complex tasks, such as optimizing liquidity pools or executing strategic trades based on predictive analytics. Enhanced User Engagement: AI agents can enhance user engagement by providing personalized financial advice and real-time insights into their investment activities. This leads to a more interactive and educational DeFi experience. By embedding AI agents within your DeFi solutions, you can offer users a smarter, more dynamic financial ecosystem that adapts to their needs and the evolving market landscape. Practical Steps to Implement AI Agents If you're ready to integrate AI agents with Bonzo Finance, here's a practical guide to get started: Understand Bonzo's Protocols: Gain a deep understanding of Bonzo's lending, vault, and bridge protocols. This knowledge will inform your AI agent's decision-making process. Select an AI Framework: Choose an agentic coding framework like Claude code or Codex that aligns with your project requirements. Ensure the framework supports seamless integration with Hedera's ecosystem. Develop Contextual Prompts: Create prompts that provide your AI agents with the necessary context to make informed decisions. This includes data on liquidity, yield rates, and market conditions. Test and Iterate: Begin by testing your AI agents in a controlled environment within the Bonzo ecosystem. Gather feedback and iterate on the prompts and algorithms to enhance performance. Deploy and Monitor: Once satisfied with your AI agents' performance, deploy them within your DeFi application. Continuously monitor their interactions and make adjustments as needed to ensure they align with user goals and market changes. By following these steps, you can successfully deploy AI agents that add value to your DeFi applications and provide users with a more innovative financial experience.
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Doubling The Limit
How Sonic is expanding smart contract size limits with V2.2.
A developer is building an application on Sonic. As the product grows, its smart contracts need to support more features, more complex logic and more ways for users to interact.
Eventually, the developer reaches the maximum contract size. They must then remove functionality, spend time reducing the code or divide the application across multiple contracts.
Sonic V2.2 gives developers more room. The upgrade doubles the maximum size of smart contracts and the code used to deploy them.
Why Contract Size Matters
Smart contracts are programs deployed onchain. Like any program, they contain code that defines what an application can do.
Ethereum introduced limits on the size of this code to protect the network from excessive processing and hardware requirements. Sonic has followed the same limits, allowing deployed contracts of up to 24 KiB and contract initialization code of up to 48 KiB.
These limits are sufficient for many applications, but they can become restrictive as contracts grow more sophisticated. Developers can work around the limit by separating an application into multiple contracts. In some cases, this is the right architectural choice. In others, it introduces additional complexity purely to stay under the limit: restructuring working code, coordinating interactions across more contracts or removing features they would otherwise include.
What Changes
V2.2 doubles both limits:
Deployed contract code increases from 24 KiB to 48 KiB
Contract initialization code increases from 48 KiB to 96 KiB
Initialization code is the temporary code used when creating and deploying a contract, including the instructions needed to configure it before its final code is stored onchain.
The higher limits do not introduce additional fee penalties beyond Sonic's existing charges for code and data size. Larger contracts naturally require more data to be processed and stored, so existing costs continue to scale with size. There is no new pricing tier for contracts that exceed the previous 24 KiB limit.
Developers gain more capacity without having to account for a new fee system.
What Made This Possible
Supporting larger contracts required more than changing a configuration value.
Sonic's previous virtual machine used an instruction format that relied on references limited to 64 KiB of code. That was not a problem under the old limits, but with initialization code increasing to 96 KiB, the virtual machine needed a new approach.
V2.2 introduces the Simple Format Virtual Machine (SFVM). Instead of converting contract code into a longer internal format before execution, SFVM keeps the original instructions and creates a compact map of valid jump destinations. The result is a simpler execution engine that removes the previous size restriction.
SFVM was tested against the first 25 million blocks of Sonic mainnet activity. Across the designs evaluated, performance differences were negligible. Sonic was able to adopt the simpler architecture without a meaningful tradeoff for normal network activity.
What Changes For Developers
Applications can include more contract logic without being forced to split it across multiple deployments. Complex protocols have more room for features, and development teams can spend less time restructuring code solely to fit within the previous limits.
This does not mean every application should use larger contracts. Smaller and simpler contracts can still be easier to review, test and maintain. The change gives developers more freedom to choose the structure that best fits their application.
What Changes For Users
Nothing noticeable. Users will continue to sign transactions, interact with applications and pay network fees in the same way. Existing contracts do not need to be rewritten.
The difference is in what developers can build. Applications that previously required workarounds to fit under the contract size limit can now be deployed as intended, with richer functionality and simpler architecture.
A Larger Foundation
Increasing contract limits is not about making every smart contract larger. It is about removing a constraint when additional capacity is genuinely useful.
With V2.2, Sonic doubles the room available for deployed contracts and initialization code, backed by a simpler execution engine designed for the next stage of the network's growth.
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Everyone who's all upset that we haven't gotten Crypto regulation done needs to understand: You can't ask for sensible regulation from people hell-bent on defunding and destaffing regulators. I am VERY pro crypto-regulation, VERY pro-tokenization. That the cyrpto industry hasn't been LOSING THEIR MINDS over the destaffing of leadership at CFTC/SEC/IRS is a blindspot.
I am PRO Clarity-act (with some concerns), very PRO tokenization. I think we shouldn't pass a single law until we have a functional and funded regulator to implement it.
I get that's a luddite position: Laws first. Enforcement later when something breaks. That's the new market.