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20 Feb 2026, 07:35
Bet on NFL Anonymously with Crypto — Top No-KYC Sportsbooks Ranked
The 2025-2026 season has arrived, and the intersection of blockchain and sports has never been stronger. As fans look for faster payouts and total privacy, crypto nfl betting has evolved from a niche trend into a billion-dollar industry. For the modern bettor, the primary goal is simple: back your favorite team without the prying eyes of traditional banks or tedious identity checks. If you are looking for the best american football crypto betting sites , you’ve likely noticed that the "Old Guard" platforms still demand passports and utility bills. However, a new wave of No-KYC platforms is changing the game, allowing you to go from wallet to wager in seconds. Top Anonymous NFL Sportsbooks Ranked for 2026 We’ve analyzed the market based on liquidity, payout speed, and anonymity. Here is our definitive ranking for the current season. 1. Dexsport – The Premier Crypto NFL Betting Site Dexsport stands out as the most advanced choice for those who value decentralization. Unlike legacy sites, this platform is built directly on the blockchain, ensuring that every wager is transparent and verifiable. Anonymity: Full. As a leading crypto nfl betting site, Dexsport requires no personal data. You can sign up instantly via email, Telegram, or by connecting DeFi wallets like MetaMask and Trust Wallet. NFL Markets: Deep coverage of nfl betting, including spreads, totals, and an extensive array of player props. Welcome Bonus: A massive 480% match on the first three deposits (up to $10,000) + 300 free spins. Unique Feature: The Cash Out tool gives you total control, allowing you to settle live bets before the final whistle to lock in profits. Security: Audited by CertiK and Pessimistic, making it a highly trusted destination for american football crypto betting sites enthusiasts. 2. Stake – The Industry Giant Stake remains a powerhouse in the world of crypto nfl betting, known for its massive community and high-profile sponsorships. Pros: Competitive odds and a world-class live betting interface. Cons: While the initial setup is fast, KYC is mandatory for withdrawals, which limits the "anonymous" aspect. Bonus: 200% match up to $3,000 for new players. 3. Cloudbet – Established Reliability Founded in 2013, Cloudbet is one of the original pioneers of the industry. Pros: Supports 30+ cryptocurrencies and offers high limits for serious nfl betting pros. Cons: Identity verification may be requested for large accounts or suspicious activity. Bonus: Focuses on a 10% rakeback system rather than a standard one-time match. 4. BetNow – The U.S. Classic A veteran platform that has successfully bridged the gap between fiat and digital assets. Pros: Very beginner-friendly and covers all major North American leagues. Cons: Operates under a traditional offshore license; lacks the full Web3 transparency of decentralized sites. 5. Voltage Bet – The Modern Challenger A newer entry into the market that combines a sleek sportsbook with a high-end crypto casino. Pros: Great mobile optimization for betting on the go. Cons: Shorter track record compared to established brands like Dexsport or Stake. Why Choose Crypto for NFL Betting? The surge in crypto nfl betting isn't just about hype; it's about solving the pain points of traditional gambling: Financial Privacy: By using No-KYC platforms, your betting activity doesn't appear on bank statements, protecting your credit score and financial reputation. Instant Payouts: Traditional books can take 3-5 days to process a wire transfer. On a top-tier crypto nfl betting site , your winnings are often in your wallet within minutes of the game ending. Better Odds: Decentralized platforms have lower overhead costs than giant corporate bookmakers, often passing those savings to the user in the form of better lines. How to Start Your NFL Betting Journey Anonymously Ready to get in on the action? Follow these three simple steps: Step 1: Set up a non-custodial wallet (like MetaMask). Step 2: Purchase a stablecoin (USDT) or a fast network coin like BNB or SOL. Step 3: Head to Dexsport, connect your wallet, and claim your 480% welcome bonus. Conclusion Whether you are a casual fan or a professional, the shift toward anonymous nfl betting is undeniable. While several american football crypto betting sites offer great features, Dexsport provides the perfect balance of high bonuses, total anonymity, and on-chain security.
20 Feb 2026, 06:45
Upbit HBAR Suspension: Essential Network Upgrade Prompts Temporary Trading Pause
BitcoinWorld Upbit HBAR Suspension: Essential Network Upgrade Prompts Temporary Trading Pause SEOUL, South Korea – February 24, 2025 – Leading South Korean cryptocurrency exchange Upbit has announced a crucial operational pause, temporarily suspending all deposit and withdrawal services for the Hedera (HBAR) token. This strategic suspension, commencing at 9:00 a.m. UTC on February 25, directly supports a significant network upgrade on the Hedera Hashgraph platform. Consequently, this proactive measure ensures transactional integrity and security for all users during the technical transition. Upbit HBAR Suspension: A Detailed Timeline and Rationale Upbit communicated the suspension details through an official notice on its website and user application. The exchange will halt HBAR deposits and withdrawals precisely at the scheduled time. However, spot trading for HBAR/KRW and HBAR/BTC pairs will continue uninterrupted on the platform. This distinction is critical for traders. The suspension specifically facilitates the “Hedera Network Mainnet Upgrade,” a planned evolution of the underlying blockchain protocol. Network upgrades are standard practice in the blockchain industry. They often introduce enhanced features, improved security protocols, and greater scalability. Major exchanges like Upbit routinely enact temporary service pauses during these events. This practice prevents potential transaction failures or fund loss that could occur if the network split into different versions temporarily. Upbit has confirmed it will notify users through official channels once deposit and withdrawal services fully resume post-upgrade. Understanding the Hedera Network Upgrade Context The Hedera Hashgraph network operates on a unique consensus mechanism called Hashgraph, which promises high throughput and low latency. Scheduled upgrades are integral to its development roadmap. This particular upgrade follows the successful implementation of several previous milestones, including smart contract service enhancements and consensus node improvements. The Governing Council of Hedera, which includes global enterprises like Google, IBM, and Boeing, oversees these upgrades. Historically, such upgrades require validators and node operators to update their software. During this synchronization window, network consensus can be temporarily affected. Therefore, exchanges preemptively suspend movements to and from the chain. This protocol mirrors actions taken by other major exchanges during upgrades for networks like Ethereum, Cardano, and Solana. The proactive communication from Upbit aligns with global best practices for user protection and operational transparency. Expert Analysis on Exchange Protocol During Upgrades Industry analysts emphasize that temporary suspensions represent responsible custodianship. “When a foundational layer-1 protocol undergoes a change, exchanges must ensure their systems and the public network are perfectly aligned,” explains a blockchain infrastructure specialist from a Seoul-based fintech research firm. “A suspension, while inconvenient, is a minor precaution compared to the risk of processing a transaction on a deprecated chain fork.” Data from 2024 shows that over 70% of top-tier exchanges employ similar suspension protocols for major network events. The impact on HBAR’s market price has been historically muted during such operational pauses, provided communication is clear. Market liquidity often shifts to other trading pairs or exchanges during the window. However, Upbit’s dominance in the South Korean market—often accounting for a significant portion of HBAR’s KRW trading volume—means local traders should plan accordingly. Users are advised to complete any necessary transfers before the deadline or wait patiently until services restore. Practical Impacts for Upbit Users and Traders For the average Upbit user, this announcement necessitates specific actions. First, any pending HBAR deposits sent to an Upbit wallet address after the suspension time may experience significant delays. They will not credit to the user’s account until services resume. Second, users cannot transfer HBAR out of their Upbit wallets to external private wallets or other exchanges during the suspension period. Continue Trading: All HBAR spot trading on Upbit remains active. Pause Transfers: All inbound and outbound HBAR token transfers are paused. Check Status: Users should monitor Upbit’s official notice page for the resumption announcement. No Fund Risk: HBAR holdings in Upbit wallets remain secure and unaffected. This event also highlights the importance of monitoring exchange communications. Reputable platforms typically provide at least 24-48 hours of notice for such planned maintenance. Upbit’s adherence to this standard demonstrates its commitment to the Financial Action Task Force (FATF) Travel Rule compliance and overall market integrity. Furthermore, it underscores the maturing infrastructure of the crypto industry, where planned technical work follows communicated schedules. Broader Implications for the South Korean Crypto Market South Korea maintains one of the world’s most active and regulated cryptocurrency markets. Upbit, operated by Dunamu Inc., is a pivotal player under the strict oversight of the Financial Services Commission (FSC) and the Korea Financial Intelligence Unit (KoFIU). Its operational decisions often set precedents for other domestic exchanges like Bithumb and Korbit. The transparent handling of this HBAR suspension reinforces the market’s structured approach to risk management. Moreover, Hedera’s presence in South Korea extends beyond retail trading. Several local enterprises and startups are building on its network for services like digital identity and supply chain tracking. A smooth network upgrade, supported by coordinated actions from major exchanges, bolsters institutional confidence in the blockchain’s reliability. This synergy between crypto exchanges and underlying protocol teams is essential for mainstream adoption and technological progress in the region. Conclusion The temporary Upbit HBAR suspension for the Hedera network upgrade is a routine, precautionary measure emblematic of a maturing digital asset ecosystem. It prioritizes user asset security and network stability above temporary convenience. South Korean traders and global HBAR holders can anticipate the resumption of normal deposit and withdrawal functions shortly after the Hedera upgrade completes successfully. This event ultimately highlights the collaborative and procedural nature of maintaining robust blockchain infrastructure in 2025. FAQs Q1: Can I still trade HBAR on Upbit during the suspension? Yes. The suspension affects only deposits and withdrawals. Spot trading for HBAR/KRW and HBAR/BTC pairs will continue normally on the Upbit exchange. Q2: How long will the HBAR deposit and withdrawal suspension last? Upbit has not specified an exact end time. The duration typically depends on the completion and stabilization of the Hedera network upgrade. The exchange will issue a new notice once services resume. Q3: Is my HBAR safe on Upbit during this time? Yes. The suspension is a preventive technical measure. All user holdings remain secure in Upbit’s custody wallets and are not at risk due to the network upgrade. Q4: What happens if I send HBAR to my Upbit address after the suspension starts? The transaction will remain pending on the network. Your funds will not credit to your Upbit account until after the suspension lifts and the exchange processes the delayed transactions. This process may take additional time. Q5: Do other exchanges also suspend HBAR services for this upgrade? It is common practice. Many global exchanges coordinating with the Hedera network may enact similar temporary suspensions. Users should check announcements from their respective trading platforms. This post Upbit HBAR Suspension: Essential Network Upgrade Prompts Temporary Trading Pause first appeared on BitcoinWorld .
20 Feb 2026, 06:30
Bitcoin Difficulty Whipsaws From 11% Slide to 14.73% Climb in 2 Weeks
Following the prior difficulty recalibration that occurred 2,016 blocks ago—roughly two weeks back on Feb. 7—the Bitcoin protocol has now delivered a sharp counterpunch. On Thursday, at block height 937440, mining difficulty climbed 14.73%, effectively wiping out the earlier steep reduction and reminding participants that in this arena, gravity is optional and reversals are swift.
20 Feb 2026, 04:00
Balaji Says ‘Zcash Or Communism’ As He Warns AI Supercharges Surveillance
Balaji Srinivasan is once again making the most provocative version of a privacy argument and he’s pinning it to a specific chain: Zcash. In a Feb. 18 video shared on X, Srinivasan framed the stakes in stark terms: “The choice is clear. It’s Zcash or communism,” tying the rise of AI-enabled surveillance to what he described as a renewed appetite for wealth seizure. In a follow-up post, he argued that AI has shifted surveillance from a state-scale project to something closer to an on-demand service. “Any scrap of information online can now be integrated, digested, and synthesized…by any state or stalker capable of running an AI model…to form a dossier more complete than anything the Soviets could ever dream of,” he wrote. Srinivasan’s prescription was blunt: “There will be no single silver bullet. But anything you haven’t encrypted can and will be used against you.” Srinivasan anchored his “communism requires surveillance” claim in an historical example meant to make a modern point about data exhaust. “In 1918, in the midst of the Bolshevik Revolution, Lenin gave an order to murder 100 nearby ‘kulaks,’” he said, emphasizing that such an order “required a list”: names, locations, and a population that couldn’t easily move. His argument is that the internet reverses that asymmetry if encryption becomes the default. “Today, neo-communism is rising once again. But the Internet could change the game,” he said. “No full list, if we encrypt it. No fixed location, either. They can’t hit what they can’t see.” Those themes carried into a longer discussion on the Never Say Podcast, where Srinivasan connected privacy to basic operational freedom. “If you’re under surveillance, you’re not sovereign,” he said. “If every move is being tracked…you don’t have the advantage of surprise. You can never launch something. You can never have private deliberations.” Arjun Khemani, a 19-year-old Zcash researcher on the episode, echoed the AI angle from the user side: “Especially with AI, being able to recognize where you are exactly…you can’t have freedom without privacy,” he said, arguing that broadcasting every transaction and context signal is “not… the world that I want to live in.” The choice is clear.It’s Zcash or communism. pic.twitter.com/4sAG9WG0jA — Balaji (@balajis) February 18, 2026 Zcash As A Scaling Bet, Not Just A Privacy Stance Srinivasan’s pitch wasn’t limited to privacy-by-principle. He positioned Zcash as a technical response to where he thinks the market has landed on scalability: on-chain throughput wins, and routing complexity loses. Asked why “Zcash must scale” is a “moral imperative,” Srinivasan contrasted Bitcoin’s scaling reality: exchanges, custodians, and database entries with the decentralization promise many users think they’re buying. “ Lightning …they’ve been saying, ‘Lightning is going to be there any day now’ for 10 years,” he said, arguing that real-world deployments tend toward “a hub and spoke topology” resembling traditional finance rails. “Within a bank, it’s fast…between banks, they do settlement,” he added, describing a dynamic he sees mirrored in major Lightning implementations. From there, he argued crypto has effectively segmented into layers: Bitcoin for immutability and brand, Ethereum for programmability, and Solana for straightforward on-chain execution at scale. The opening he sees for Zcash is combining “Solana-like scalability” with private transactions, leaning on zero-knowledge proofs as “compression technology” as much as secrecy. “It’s what a lot of people wanted Bitcoin to be,” he said. Srinivasan also stressed that privacy doesn’t necessarily replace transparency, it complements it. He argued that Bitcoin’s public ledger can be a feature for proof-of-reserves narratives, while Zcash’s private-by-default design targets a different threat model. His bottom line is coexistence, not conquest: “It’s possible that Bitcoin… and Zcash coexist because Bitcoin is transparent and Zcash is private,” he said, while suggesting “this could be Zcash’s moment.” At press time, ZEC traded at $259.18.
20 Feb 2026, 03:10
IoTeX AI Platform Transition: The Ambitious Pivot to Bridge Real-World Data and Artificial Intelligence
BitcoinWorld IoTeX AI Platform Transition: The Ambitious Pivot to Bridge Real-World Data and Artificial Intelligence In a significant strategic shift that could redefine blockchain’s role in artificial intelligence, the decentralized physical infrastructure network IoTeX has officially begun its transition to becoming an AI platform. According to a comprehensive report from Asian Web3 research firm Tiger Research, this move addresses one of AI’s most persistent challenges: the reliability of external data. The Singapore-based platform, known for its IOTX cryptocurrency, is positioning itself at the crucial intersection where verified real-world data meets artificial intelligence systems. IoTeX AI Platform Transition Addresses Core AI Limitations Artificial intelligence systems increasingly struggle with data reliability issues that undermine their effectiveness. Tiger Research’s analysis reveals that AI models frequently encounter unverified and fragmented external data, creating significant accuracy and trust problems. Consequently, IoTeX’s transition represents a strategic response to this industry-wide challenge. The platform has been developing integrated infrastructure specifically designed to bridge this critical data gap. Industry experts note that AI’s dependence on questionable data sources creates substantial limitations. For instance, autonomous systems making decisions based on unverified sensor data can produce dangerous outcomes. Similarly, financial AI models relying on fragmented market data may generate unreliable predictions. Therefore, IoTeX’s approach focuses on creating a verifiable data pipeline from physical world sources to AI applications. The Three-Layer Technical Stack Powering the Transition IoTeX’s transition to an AI platform relies on a sophisticated three-layer technical architecture. This system transforms raw real-world data into AI-ready information through sequential processing stages. Each layer addresses specific challenges in the data-to-AI pipeline, creating what developers describe as a “trusted data highway” for artificial intelligence systems. Verification, Structuring, and Contextual Understanding The foundation begins with ioID, which establishes data reliability through verification protocols. This layer ensures that incoming data from IoT devices and other sources maintains integrity throughout its journey. Subsequently, Quicksilver processes this verified data, structuring it into formats that AI systems can effectively recognize, infer from, and act upon. Finally, Realms provides the crucial contextual understanding layer, helping AI interpret data within appropriate situational frameworks. This architectural approach mirrors successful data pipeline models from traditional technology sectors while incorporating blockchain’s inherent trust mechanisms. The system essentially creates what data scientists call “ground truth” datasets—verified information that serves as reliable reference points for AI training and operation. Importantly, this addresses the “garbage in, garbage out” problem that plagues many AI implementations. Trio: The First Commercial Implementation The initial commercial product emerging from this technical stack is Trio, a subscription-based SaaS service offering AI feedback on live video streams. This application demonstrates the practical implementation of IoTeX’s three-layer architecture in a real-world scenario. Trio processes live video data through ioID verification, Quicksilver structuring, and Realms contextual analysis before delivering AI-generated insights to users. Security applications represent one immediate use case for this technology. For example, surveillance systems could receive verified, context-aware AI analysis of live footage. Similarly, industrial monitoring applications might benefit from reliable AI interpretation of manufacturing processes. The subscription model indicates IoTeX’s focus on sustainable revenue generation rather than speculative cryptocurrency applications. IoTeX AI Platform Components and Functions Component Primary Function AI Integration Role ioID Data reliability verification Ensures input data integrity Quicksilver Data structuring and formatting Creates AI-recognizable data patterns Realms Contextual understanding Provides situational framework for AI Trio Commercial SaaS product Live video AI feedback service Market Position and Competitive Landscape Analysis IoTeX enters a competitive but rapidly expanding market segment at the intersection of blockchain and artificial intelligence. The platform differentiates itself through its DePIN (Decentralized Physical Infrastructure Network) heritage, which provides existing infrastructure for data collection. Unlike purely digital blockchain projects, IoTeX has years of experience connecting physical devices to distributed networks. Several factors position IoTeX advantageously in this transition. First, the platform’s existing IoT infrastructure provides immediate data sources. Second, blockchain technology offers inherent advantages for data verification and audit trails. Third, the timing coincides with growing industry recognition of AI’s data reliability problems. However, the platform faces challenges including: Established competition from traditional data providers Technical complexity of creating seamless AI integration Market education regarding blockchain’s role in AI Revenue generation from emerging use cases Tiger Research’s Critical Assessment and Revenue Concerns Tiger Research’s report presents a balanced evaluation of IoTeX’s transition, acknowledging technological readiness while highlighting commercial challenges. The research firm concludes that while IoTeX possesses the technical capability for this pivot, this expertise has not yet translated into substantial revenue streams. This assessment reflects a broader pattern in blockchain-AI convergence projects where technological innovation often precedes commercial success. The consulting firm specifically notes that for IoTeX to build a sustainable revenue model with Trio and achieve re-evaluation as an AI infrastructure company, tangible performance results must support the technological foundation. Essentially, the platform needs demonstrable commercial adoption and measurable impact metrics. This requirement aligns with increasing investor focus on fundamentals rather than speculative potential in both blockchain and AI sectors. The Path from Technical Capability to Commercial Success Historical technology transitions suggest that technical superiority alone rarely guarantees market success. Instead, factors like timing, partnerships, user experience, and business development often determine outcomes. IoTeX must therefore navigate the complex journey from promising technology to viable business. The platform’s success likely depends on several interconnected factors including strategic partnerships, developer adoption, and clear value propositions for enterprise customers. Industry analysts observe that blockchain projects transitioning to AI face particular challenges in communicating their value to traditional businesses. The technical complexity of both blockchain and AI creates comprehension barriers for potential customers. Consequently, IoTeX must develop clear messaging that emphasizes practical benefits rather than technological intricacies. The Trio product represents an initial step in this direction by offering a specific, understandable service. Broader Implications for Blockchain and AI Convergence IoTeX’s transition reflects a larger trend of blockchain platforms seeking relevance in the AI-dominated technological landscape. As artificial intelligence becomes increasingly central to digital transformation, blockchain projects must either integrate with AI ecosystems or risk obsolescence. This convergence represents what industry observers call “the next logical evolution” for blockchain technology beyond financial applications. The integration addresses fundamental limitations in both technologies. Blockchain provides verification and trust mechanisms that AI systems lack, while AI offers analytical capabilities that enhance blockchain’s utility. This symbiotic relationship could potentially create new technological paradigms where verified data feeds intelligent systems that, in turn, optimize blockchain operations. However, achieving this potential requires overcoming significant technical and conceptual hurdles. Several blockchain projects are pursuing similar AI integration strategies, though with different technical approaches and market focuses. The diversity of approaches suggests that multiple solutions may coexist, each addressing specific segments of the broader AI data reliability challenge. IoTeX’s physical infrastructure focus distinguishes it from purely digital approaches, potentially creating unique advantages in applications requiring real-world sensor data. Conclusion IoTeX’s transition to an AI platform represents a strategic response to artificial intelligence’s data reliability challenges through its innovative three-layer stack. While Tiger Research confirms the platform’s technological readiness, the crucial commercial translation remains unproven. The success of this IoTeX AI platform transition will ultimately depend on tangible performance results, market adoption of products like Trio, and the platform’s ability to demonstrate clear value in the competitive AI infrastructure landscape. As blockchain and AI convergence accelerates, IoTeX’s experiment in bridging verified real-world data with artificial intelligence systems will provide valuable insights into this emerging technological frontier. FAQs Q1: What is IoTeX transitioning to according to Tiger Research? IoTeX is transitioning from a DePIN (Decentralized Physical Infrastructure Network) platform to an artificial intelligence platform that supplies verified real-world data to AI systems through a specialized three-layer technical stack. Q2: What problem does IoTeX’s AI platform aim to solve? The platform addresses AI’s reliance on unverified and fragmented external data by creating a trusted pipeline that verifies, structures, and provides context for real-world information before it reaches artificial intelligence systems. Q3: What are the three layers of IoTeX’s technical stack? The stack consists of ioID for data reliability verification, Quicksilver for structuring data into AI-recognizable formats, and Realms for helping AI understand contextual information about the data it processes. Q4: What is Trio in relation to IoTeX’s transition? Trio is the first commercial product based on IoTeX’s new AI platform stack—a subscription-based SaaS service that provides AI feedback on live video streams, demonstrating practical implementation of the technology. Q5: What concerns did Tiger Research raise about IoTeX’s transition? While acknowledging technological readiness, Tiger Research noted that this capability has not yet translated into revenue generation, and IoTeX will need tangible performance results to build a sustainable business model and be re-evaluated as an AI infrastructure company. This post IoTeX AI Platform Transition: The Ambitious Pivot to Bridge Real-World Data and Artificial Intelligence first appeared on BitcoinWorld .
20 Feb 2026, 02:32
New data is in – AI slop is not replacing human labor
If you think about it, there are no AI “agents”, no “swarms”, nothing “agentic” or “identic”. These are just the latest buzzwords for the same invention: the LLM chatbot. Still, there is a lot of talk about AI replacing certain job categories, especially programmers. Actually, there are only about 30M programmers worldwide (according to ChatGPT) or about 10M (according to Grok). That’s 0.004% of the population (per the ChatGPT figure). No other jobs except for teenage modeling are threatened, even though the AI guys say so. And not even the programmers’ jobs are really in danger… as software needs programmers to check and fix errors, and to deal with the real world. No jobs are in danger So far, the only *confirmed* job I’ve seen being replaced is teenage photo modeling. The teenage model pictures can now be created with generative “AI”. But, that’s not a real job. 14-15 years olds sitting alone in Paris waiting for some friends of Epstein… good riddance. We see dancing robots in videos from China, but nobody can produce a robot that can do the dishes, or anything useful. AI is not advancing in the entertainment industries either. Self-ordering kiosks at fast food restaurants and movie theaters were available before the new crop of AIs (LLMs). Robot servers are an already existing and boring gimmick in some restaurants. We will probably see more automation, thanks to the fact that computers finally are starting to get what we are saying to them. Word-guessing affects how people write At the same time, the word-guessing AIs are having an oversized effect on how some people write. “This is not X. It’s Y.” is used in almost all AI texts, and now read so often that people are starting to imitate it, unconsciously. Experienced writers know to stay away from such clichés, but the regular Joes don’t seem to mind the “empty” sentences. If a sentence can be lifted out of one text and put into almost any other text, it’s useless. It’s just hype. “Most people are not even aware of this yet” is true of almost any news or information. It’s typical AI filler “word salad”. Specific words like “delve” and “poised” and “entering a new era” have been popularized by AI slop. This type of hype writing wears off and people get bored of reading the recurring superlatives. They move on. Remember NFTs? Metaverse? The LLM-type “AI” just is not the end-all be-all. Yann LeCun is right. It’s not even replacing the 30 million programmers. It’s just another tool. Yes, it’ll enhance productivity here and there somewhat. IBM now says 6-7%, and they are hiring interns again, after discovering how bad AI results are in real life. We’ll manage and move on to the next hype. Why won’t the LLM “AI” reach the goal of a functioning AGI? Because you need intent for programming to be interesting. Your chatbot has no intentions, however delusional it is of its consciousness. It has none. It’s not “on”. It’s like an advanced calculator, but for words. Latest buzzword: “mass drivers” And I don’t think “mass drivers” on the moon, Elon Musk’s latest attempt at luring the public with new buzzwords, will go anywhere. People are bored with the never-ending sci-fi-blablabla. Such drivers would take at least 15 years to build. And datacenters in space. Zzzzzz. Please. Elon Musk is just bailing out his failing businesses with the one run by Gwynne Shotwell, as he has before with Solarcity and other failures. The world is up side down anyways. The world of politics is completely embroiled in the Epstein files. The new world order is developing. War is near. Crypto is available, but communications break down when governments want it to. What happened to the promise of the Internet? It’s been walled in, in Iran, Russia, China and so on. We need to break through those walls with a new technology; the promise of the meshnets (as Starlink is controlled by the US). But how? Using repeaters? Bitchat ? Where is the internet revolution? The billionaires are only out to enrich themselves, they won’t fuel any revolution. Will we ever see something interesting being developed by a billionaire? Something that’ll help with democracy and equal human rights? It does not look good. So instead of talking about the future, let’s look at the here and now. What was promised by the AI salespeople, let’s say, two years ago? Here is a rundown: “50%” of jobs gone by the end of 2025. They all said that at least 30-50% of all jobs would be replaced by AI by now. As you well know, as you see around you, that is not true. They promised “agents”. Wow, what a cool word. Like something from the Matrix. The geeks appropriated it, and the fan boys now repeat it. Like there were any “agents”. It’s still just the LLM, the “chatbot”. But “chatbot” isn’t cool anymore. Watch out for the latest buzzword: Openclaw. Dummies are now vlogging about their “11 agents working 24/7”. Yeah, right. It’s still just the same thing as before. The LLM. Nobody has showed they can make any money using “AI”. And the code Openclaw outputs is full of errors. The whole thing is very similar to the NFT phase in crypto. Every other month someone had to come up with a new buzzword to prolong the trend. The same thing is happening in “AI”. Just like with “blockchain”, if you remember? And then we have the problem of motivation. Human intelligence is often driven by a want or need. The so called AIs don’t “want” anything. Last year, Sora was introduced and it could produce about 6 seconds of video. Now, Seedance is promising a jump to 15 seconds. If we extrapolate this, it would mean: 30 seconds in 2027, right? In 2028: 1 min, in 2029: 2 min, in 2030: 4 minutes… 8, 16, 64 and in the year 2035 we finally reach the stage of full-length 128 min movie creation. Let’s say they can build datacenters even faster and we get there earlier, at 2030? So what? The world is not going to change because people who are are amateurs at making movies get some new AI tools. On the contrary, we are going to need new tools to sift through all the crap. Amazon Books is already almost destroyed by AI books. They’ve had to introduce a new rule: max three books can be published per day per author. This AI spam will show up everywhere. We are in a transition phase. New tools will have to be developed to help people navigate the AI slop. As Amazon, Instagram and others don’t seem to care about its future letting AI slop destroy the output; the field is ripe for innovation. What’s your opinion on this? Do we need crypto via meshnets? Will AI make a dent in the crypto world? Send me your thoughts and tips and I might comment on them in next week’s column. If you're reading this, you’re already ahead. Stay there with our newsletter .
