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@BeaconLayerPods @SachiMiyasaki @michaelh_0g @0G_labs 0g trying to make ai infra onchain feels like a big swing

“DA layers really differ across three dimensions: performance, programmability, and AI-native design — because on-chain AI can’t operate in a world measured in mere megabytes per second.” @sachimiyasaki catches up with @michaelh_0g, Founder of @0G_labs, to break down how 0G compares with Celestia, Avail, and EigenDA: why throughput needs to increase by orders of magnitude, how to move beyond the broadcast bottleneck, and why a decentralized storage network is essential for ultra-fast data ingestion and retrieval.

2026 World Cup Golden Boot race is heating up. 🏆⚽ Quick question: How many goals did David Villa score at the 2010 World Cup? 👀 #BitradeX #DavidVilla #WorldCup2026

@J777Crypto @DiceyHQ Not every play needs to be a moonshot

Not $1 to $15k but $2.5k to $7k seems good enough for me @DiceyHQ new dig dig addiction is real

@PlayHyperWorld I've seen this movie before on Solana. Small game projects build quietly, then everyone suddenly realizes gaming is a real narrative i will not miss it

Every chain gets its gaming season. HyperEVM deserves one too. 🐾 We're in the final stretch of development for HyperWorld a cozy pixel MMO that runs entirely in your browser. Gather resources → craft gear → defeat bosses → trade with real players in a living economy powered by the Hyperliquid ecosystem. Coming soon. 👇

@Bitradexen Good opportunity to help shape the platform

Last day for the Final Slice 🍕 Share your feedback, help us build BitradeX better, and get a chance to win USDT. Don’t miss the final round 👀 #BitradeX #PizzaWeek #USDT #Crypto

@Web3Rehashed @AnthropicAI Deemed-export logic was built for the transfer of technical knowledge. Applying it to a live model API effectively turns nationality, rather than location or conduct, into an access-control variable.

The core news is not that @AnthropicAI temporarily took two models offline. It is that the United States has now treated access to frontier AI as something that can be controlled through export law, not only by geography, but by who the user is. Anthropic was reportedly ordered to suspend access to Fable 5 and Mythos 5 for any foreign national, including people physically located inside the United States and even foreign-national Anthropic employees. That is a very different regime from blocking chip shipments to China or limiting GPU clusters abroad. It is closer to saying: the intelligence itself has become a controlled strategic asset. 👇 ~~ Analysis by @onchainhost ~~ For years, the AI race has been framed around inputs. Who can buy the best GPUs. Who can secure HBM supply. Who can build data centers fast enough. Who can access advanced lithography, power capacity, and cloud credits. The US export-control strategy reflected that logic: restrict Nvidia-class hardware, constrain semiconductor tooling, limit advanced compute in adversarial jurisdictions, and slow down the ability to train frontier models. That framework made intuitive sense because chips are physical. They cross borders. They are manufactured, shipped, tracked, and sold through identifiable supply chains. But models are different. A frontier model can sit in a US data center while serving someone on the other side of the world through an API. Nothing physical crosses a border. No GPU is exported. No model weights need to leave the company. A few API calls can still deliver capabilities that used to require access to an entire research organization. That is why this @AnthropicAI episode matters. The Commerce Department directive reportedly required a license for foreign persons to access Fable 5 and Mythos 5, regardless of whether those users were in the US or abroad. Anthropic said it could not reliably separate its users by nationality, so the practical outcome was to disable both models for everyone. In other words, the state did not control the hardware. It controlled the ability to query the intelligence running on the hardware. That distinction may sound technical, but it changes the structure of the AI market. A frontier API is no longer simply a cloud product. It can become a licensed strategic service. Anthropic’s Fable 5 had been released as a generally accessible model with cybersecurity safeguards. Mythos 5 was more restricted, intended for a smaller trusted-access group where some cyber safeguards were lifted for defensive use cases. Anthropic itself described Mythos-class systems as a higher capability tier than its Opus models, particularly for software engineering, autonomous work, cyber defense, and scientific research. The government’s concern was reportedly that Fable’s safeguards could be bypassed in a way that enabled users to identify software vulnerabilities. Anthropic disputes the characterization. The company says the technique was narrow, non-universal, involved a limited number of previously known minor vulnerabilities, and did not demonstrate a capability unique to its models. It also argues that similar bug-finding behavior is available through other public models. The truth is that both sides may be describing a real problem from different angles. Anthropic is right that jailbreak resistance is not binary. A model can have strong protections and still be vulnerable in narrow contexts. That is the nature of frontier model security today: safeguards reduce the cost of defense, but they do not produce perfect containment. The government is also right about one thing: capability diffusion does not need to be perfect to matter. A model does not need to autonomously compromise a military network to create strategic risk. It may be enough for it to make skilled researchers, cyber operators, or intelligence teams materially faster at vulnerability discovery, exploit research, systems analysis, or code review. The issue is therefore not whether a model is “dangerous” in the abstract. The issue is whether certain increments of capability are significant enough that access itself becomes a national-security question. That is a much harder line to draw than the chip line. A chip can be classified by performance thresholds. Compute capacity can be estimated. Interconnect bandwidth can be measured. A model’s strategic value is more contextual. The same model that helps a defensive security team patch an aging banking system can help an offensive researcher find weaknesses in that system. The same agent that compresses months of software engineering into days can compress reconnaissance, reverse engineering, and exploit development. And the same model that can be used by a US cybersecurity firm through a legitimate API can potentially be used by a foreign actor through the exact same interface. This is why the “foreign national” language is the most consequential part of the story. The policy is not simply saying: do not serve sanctioned jurisdictions. It is applying the logic of deemed exports, where releasing controlled technology to a foreign person inside the United States can be treated as an export to that person’s country of nationality. That principle already exists in traditional export controls. What is new is applying it to real-time access to a commercial frontier model. This makes the situation less like a normal product restriction and more like an emergency intervention. And that uncertainty is itself a market signal. For enterprises building core workflows around frontier APIs, the risk is no longer limited to pricing changes, rate limits, outages, or model deprecation. There is now geopolitical dependency risk. A company in London, Seoul, Dubai, Singapore, or Istanbul can build its product architecture around a US model, integrate it deeply into engineering workflows, and then discover that access is conditional on a political or regulatory decision made in Washington. That is not a theoretical concern anymore. Anthropic’s own decision to disable access globally shows the operational reality. A compliance requirement aimed at foreign nationals became, in practice, a kill switch for everyone because identity verification, citizenship classification, licensing, corporate ownership analysis, and access enforcement are extremely difficult to implement across global cloud infrastructure. This is where the AI sovereignty conversation becomes much more concrete. For a long time, “sovereign AI” sounded like a policy slogan: countries wanting local language models, domestic clusters, national compute programs, or regional data residency. Now it has a more practical meaning. Sovereignty is not only about owning GPUs. It is about whether a government, company, university, security team, or startup can maintain access to the intelligence layer when geopolitical conditions change. That will make open-weight models more strategically attractive, even when they are less capable. Not necessarily because open models are better. But because a model that can run on infrastructure you control cannot be switched off by a foreign provider under an emergency licensing directive. That creates a major tradeoff. Closed frontier systems may remain ahead in capability, reliability, tool use, long-horizon reasoning, and safety infrastructure. But they also concentrate political and regulatory power inside the provider’s jurisdiction. Open-weight systems sacrifice some of that frontier performance, but they reduce dependence on a single company, a single cloud platform, or a single national export-control regime. For builders, this probably accelerates a multi-model future. The question will not only be: “Which model performs best?” It will increasingly be: “Which model can we still access under stress?” That could mean enterprises keeping secondary model providers, designing agent stacks that can swap inference backends, maintaining open-weight fallback systems, or avoiding architecture that assumes one frontier API will always be globally available. This does not mean the US will suddenly export-control every powerful model. The current action is specific to Anthropic’s Fable 5 and Mythos 5, and the facts remain contested. The government has not publicly released the full legal reasoning, while Anthropic maintains that the cited jailbreak was narrow and that broader restrictions would risk halting frontier deployment across the industry. Still, precedents matter more than permanence. Once a government demonstrates that it can regulate model access through export-control authorities, every other frontier lab has to plan around that possibility. @OpenAI, @GoogleDeepMind, @xai, @Meta, and the major cloud providers all now have a reason to ask the same uncomfortable question: At what level of capability does a model stop being software and start being controlled strategic infrastructure? The answer will shape more than AI policy. It will shape where startups build, how enterprises procure models, why countries invest in domestic compute, and whether the next generation of AI becomes globally accessible infrastructure or a fragmented network of national capability zones. The most important thing to watch is not whether Fable 5 comes back online next week. It is whether this becomes a one-off dispute around @AnthropicAI, or the first real template for governing frontier intelligence as an export-controlled resource.

@Aptos @DecibelTrade @shelbyserves @AptosLabs @AveryChing @TheBlockCo @gazza_jenks Markets and machines mission is coming together flawlessly

The markets and machines mission in motion. @DecibelTrade: now at nearly $4B in total volume. @shelbyserves: building the AI data layer. This is what crypto as infrastructure looks like. @AptosLabs' @AveryChing with @TheBlockCo's @gazza_jenks

@TrustPadApp @XamanFi my friend told me about this yesterday and I've spent the last 3 hours going down the rabbit hole, no regrets

@PiCoreTeam The fact that its self service means any developer can do this without needing connections or clout 💪🏼

Pi Network has over 60 million Engaged Pioneers. For developers, that creates an important opportunity: How do useful apps get discovered by these millions of people on Pi? Ecosystem Directory Staking was built to help answer that. It is a decentralized way for Pioneers and businesses to actively support and promote the ranking of Pi apps and utilities in the Ecosystem Interface. Staking through this feature increases an app’s exposure to the Pi community, helping boost visibility within the ecosystem. This feature provides a self-service avenue for developers and creators to use Pi to tap into the attention resource of Pi Network to acquire users. As AI makes app creation easier and easier, the challenge shifts from building products to getting them in front of people. Ecosystem Directory Staking improves ecosystem discovery, making it easier for developers and creators to connect with users, and easier for users to discover new apps. minepi.com/blog/ecosystem…

humanitycards.vercel.app you know what’s funny is that there has been a trading card game out since 2018 and people forgot about it. You could mint Jesus, Buddha, Saddam Hussein , Hitler all the most famous and infamous people ever. It’s gaining a lot of popularity right now. Basically a free mint I believe the .001 is burned. Look at pokemon cards the vintage cards always hold weight. This is a 2018 contract one of the earliest NFTS and decentralized onchain TCGs ever. Mint for a few bucks and try your luck. It’s fund and cheap and has history. 10 years from now now you’ll thank me @waleswoosh

@Bitradexen 2 billion on Bitradex? That is wild

2 BILLION in futures trading volume in the past 30 days. From 1B to 2B — BitradeX Futures keeps accelerating. #FuturesTrading #2Billion #BitradeX #FuturesBonus $USDT

@QuantumFDN @ivanmiskovic @QuickswapDEX

Quantum computing is coming for the cryptography that secures every chain. @ivanmiskovic joins @QuickswapDEX today to get into the real timeline, the security models that survive it, and what to build now.

@RobertSagurton The silence on specifics says a lot

I’ve been told that I am antagonistic towards Solana but when I ask for a specific statement I’ve made to back that allegation up? Nobody can provide a single example. Not one. I’ve asked many times. As I think when they look back, they realize one of the following: - the competitive landscape played out exactly as I predicted - somebody from Solana has now ack’d the issue I pointed out and are trying to fix it (where’s my “thank you”?) – they realize it’s still a problem and don’t want to amplify it as it hasn’t been improved (that Fogo improved?) - they (privately) don’t support open source code, and its a general source of frustration - I was (annoyingly) defending myself or Fogo from a antagonistic or condescending post by Solana about the project or investors or team - they realize they created a false narrative about me that isn’t based on anything out of line I ever said. (Everybody needs a good demon when times get tough) Feel free to comment below if there is something I tweeted that doesn’t fall into the above category – or let’s put this myth to bed, shall we? And btw – the antagonistic founder you should be more focussed on is the guy who says nothing, doesn’t tell you how’s he’s coming for you, and just took all the investors, traders, and market share… Hyperliquid

Streaming + Predictions enters @TheHUB 🤝

@diamante_io Normal performance hides weak design

Systems aren’t judged by how they perform under normal conditions. They’re judged by how they hold up when conditions change. That’s where most designs get exposed.

@RobertSagurton @TheHUB Perfect match honestly

@RobertSagurton Early attention beats late conviction

When institutional money hears the Hyperliquid story, their next question is NOT: “How do I buy the ATH?” It’s instead: “Let’s wait for a dip” Or the smarter money: “What’s the next undervalued Hyperliquid (nobody is paying attention to) that I can buy for pennies?” Big opportunity for someone. 🤔

@RobertSagurton Sub-500ms settlement changes how traders think

Faster finality means this (permissionless) spot liquidity becomes effectively a huge onchain pool of liquidity for Fogo DEX’s to lean on. Crazy that assets will be able to be SETTLED between Fogo and Solana faster than most EVM blocktimes (sub 500ms).

@UniFy_io Ready for some alpha 👀