hodler

11 Mar 2026, 18:08

Android Phone Crypto Wallets Could Be at Risk Due to MediaTek Exploit: Ledger

A vulnerability in some MediaTek-powered phones could allow attackers to extract encrypted data, including wallet seed phrases, using only a USB connection.

11 Mar 2026, 17:42

OpenClaw founder criticizes GitHub vulnerability reporting as AI-generated reports flood the system

Peter Steinberger took to X to call out GitHub’s security vulnerability reporting process, calling it a “mess,” after he helped build OpenClaw into one of the fastest-growing projects and one of the most starred non-aggregator projects on the platform. He stated that access to vulnerability reports is restricted to administrators, making it hard to distribute across a team; the API is too limited for agents to read or post comments autonomously; and the system is drowning in what he called “AI-generated slop that takes me hours to sift through.” Why does this criticism carry particular weight right now? Steinberger is not a disgruntled open-source hobbyist. He is a repeat founder who has built major products that are being used around the world, and most recently, the company he joined makes his outburst worth looking into closely. Steinberger joined OpenAI in February, with OpenClaw said to live in a foundation as an open source that OpenAI will continue to support. OpenClaw’s security page notes explicitly that, given the volume of AI-generated scanner findings received, it requires vetted reports from researchers who have genuinely understood the issues, a policy that reads almost as a footnote to his X post. He has navigated multiple coordinated vulnerability disclosure processes and watched the noise-to-signal ratio deteriorate in real time as automated scanning tools proliferated. OpenAI, on the other hand, recently unveiled what has been described internally as an agentic security researcher, a system powered by its latest models that integrates directly with GitHub, scans commit-level changes, validates exploitability in sandboxed environments, and attaches AI-generated patches to its reports. The product is a near-perfect answer to each of the three complaints Steinberger aired publicly. While this could be a coincidence or choreography, the timing makes Steinberger’s post difficult to ignore, especially considering that it is not a strange occurrence among tech founders to call out a product when they are about to launch an alternative or make an acquisition. When CZ of Binance publicly mused about prediction markets, it did not take long before prediction market platform, Predict.fun, launched on BNB, backed by YZi Labs. Elon Musk complained about Twitter’s direction before acquiring it. He later criticized OpenAI’s governance and went on to found xAI. In short, tech founders tend not to criticize infrastructure problems they have no intention of solving. However, it is worth noting that the vast majority of comments under Steinberger’s tweet agree that more needs to be done by GitHub to reduce the “AI slop.” Will AI affect how software gets built and used? Andrew Chen, a general partner at Andreessen Horowitz, published a widely circulated opinion on X , stating that AI code generation is about to dissolve the last barrier between business logic and real software. He wrote, “AI code gen means that anything that is currently modeled as a spreadsheet is better modeled in code. You get all the advantages of software – libraries, open source, AI, all the complexity and expressiveness.” The spreadsheet, he wrote, exists only because the cost of writing proper code was historically too high. That cost has now collapsed. When a billion knowledge workers can describe what they want in plain English and receive a functioning application in return, the ceiling on what non-technical people can build rises by an order of magnitude. According to him, “the spreadsheet was the great equalizer that let non-technical people build things. AI code gen is the *next* great equalizer, but the ceiling is 100x higher. We’re about to see what happens when a billion knowledge workers can build real software.” However, many X users in the comments do not agree with his submission, with one stating , “spreadsheets will survive for the same reason that PDFs are still ubiquitous. The paper skeuomorphism persists despite 30 years of hypertext. There is something the spreadsheet ‘does’ that is distinct from manipulating or displaying data.” Generally, AI growth has seen an exponential rise. Insights fro m ER C-8004 AI agent ecosystem show that over 81,000 agents have been deployed in the past 30 days, with over 1,670 deployed in the past 24 hours. This does not account for agents being deployed off the blockchain. GitHub’s vulnerability reporting system was designed for a world in which humans filed bugs. It is now operating in a world in which agents file them, at machine speed and in machine volume, and according to some users, the infrastructure seems to be struggling despite having its own AI capabilities. Steinberger’s post may be nothing more than the frustration of a busy engineer. However, it arrives at precisely the moment when the gap between that old world and the new one is becoming impossible to paper over. Your bank is using your money. You’re getting the scraps. Watch our free video on becoming your own bank

11 Mar 2026, 16:40

Bittensor Infrastructure Developer General Tensor Secures $5M in Strategic Funding Boost

BitcoinWorld Bittensor Infrastructure Developer General Tensor Secures $5M in Strategic Funding Boost In a significant development for decentralized artificial intelligence infrastructure, General Tensor has successfully secured $5 million in combined seed and pre-seed funding rounds, positioning the Bittensor network for accelerated growth and technological advancement throughout 2025. General Tensor’s Strategic Funding Milestone General Tensor, formerly operating as General TAO Ventures, completed its funding rounds with leadership from Goodmorning Holdings, an affiliate of global investment banking giant Goldman Sachs. This financial injection represents a substantial vote of confidence in both the company’s technical vision and the broader Bittensor ecosystem. The funding announcement, initially reported by The Block, highlights increasing institutional interest in decentralized AI infrastructure projects. Furthermore, this development follows a broader trend of traditional finance entities exploring blockchain-based artificial intelligence solutions. The company’s founding in early 2024 coincided with growing recognition of Bittensor’s unique approach to machine learning decentralization. General Tensor’s specific focus encompasses three critical infrastructure areas: Mining Infrastructure: Developing hardware and software solutions optimized for Bittensor’s proof-of-intelligence consensus mechanism Validation Systems: Creating robust validation frameworks to ensure network integrity and performance Subnet Development: Building specialized subnetworks for specific AI tasks and applications Bittensor’s Expanding Decentralized AI Ecosystem Bittensor operates as a peer-to-peer marketplace for machine intelligence, where participants contribute computational resources and AI models to earn the network’s native TAO cryptocurrency. The platform’s architecture enables collective intelligence generation through decentralized coordination. Consequently, General Tensor’s infrastructure work directly supports this ecosystem’s scalability and reliability. The network has demonstrated remarkable growth since its inception, with total value locked and active participants increasing substantially throughout 2024. Comparative analysis reveals Bittensor’s distinctive position within the decentralized AI landscape: Network Primary Focus Consensus Mechanism Key Differentiator Bittensor (TAO) Machine Learning Marketplace Proof-of-Intelligence Decentralized AI Model Coordination Render Network GPU Computing Power Proof-of-Render Decentralized Graphics Rendering Akash Network Cloud Computing Marketplace Proof-of-Stake Decentralized Cloud Infrastructure Institutional Validation of Decentralized AI Infrastructure Goodmorning Holdings’ participation as lead investor signals growing institutional recognition of decentralized AI’s potential. Goldman Sachs’ affiliate involvement follows the investment bank’s established track record in technology infrastructure financing. This development suggests traditional finance institutions now view decentralized AI networks as legitimate investment opportunities rather than speculative ventures. Moreover, the funding round’s structure indicates careful due diligence and strategic alignment with long-term infrastructure development goals. The timing coincides with increased regulatory clarity surrounding cryptocurrency and AI integration. Regulatory frameworks emerging in 2024 and 2025 have provided more defined parameters for blockchain-based AI projects. Simultaneously, technological advancements in zero-knowledge proofs and scalable consensus mechanisms have addressed previous limitations. These factors collectively create favorable conditions for infrastructure-focused investments like General Tensor’s funding round. Technical Implications for Bittensor Network Development General Tensor’s infrastructure development directly addresses several technical challenges facing decentralized AI networks. Mining optimization represents a particular focus area, given Bittensor’s unique computational requirements. The network’s proof-of-intelligence mechanism differs substantially from traditional proof-of-work or proof-of-stake systems. Consequently, specialized hardware and software configurations become necessary for efficient participation. Validation infrastructure development ensures network security and model quality maintenance. As Bittensor expands, robust validation mechanisms prevent malicious actors from compromising the intelligence marketplace. Furthermore, subnet development enables specialized applications within the broader ecosystem. These subnets can focus on specific AI domains like natural language processing, computer vision, or predictive analytics. General Tensor’s work therefore supports both horizontal scaling and vertical specialization within the Bittensor network. Market Context and Competitive Landscape The decentralized AI sector has experienced accelerated growth throughout 2024, with total market capitalization increasing approximately 300% year-over-year. This expansion reflects broader recognition of AI’s transformative potential and growing concerns about centralized AI development. Major technology companies currently control significant portions of the artificial intelligence landscape. Decentralized alternatives like Bittensor offer contrasting approaches emphasizing transparency, accessibility, and collective ownership. Investment patterns reveal shifting capital allocation toward infrastructure layers rather than application layers. Venture capital firms increasingly prioritize foundational technologies that enable multiple applications. General Tensor’s funding aligns with this trend, focusing on infrastructure supporting the entire Bittensor ecosystem. The $5 million investment compares favorably with similar early-stage infrastructure rounds in adjacent sectors like decentralized storage and computing. Future Trajectory and Development Roadmap General Tensor’s funding enables accelerated development across its three focus areas throughout 2025 and 2026. The company has outlined specific milestones including testnet deployments, validator onboarding programs, and subnet launch initiatives. These developments will likely increase Bittensor’s network capacity and attract additional participants. Moreover, improved infrastructure typically correlates with enhanced network effects in decentralized systems. The broader Bittensor community anticipates several tangible outcomes from this infrastructure investment: Reduced barriers to entry for new network participants Improved network performance and reliability metrics Enhanced security through advanced validation mechanisms Increased specialization through dedicated subnet development Industry analysts project that successful infrastructure development could position Bittensor for mainstream AI integration. Potential applications span numerous sectors including healthcare diagnostics, financial modeling, and scientific research. The decentralized approach offers particular advantages for sensitive applications requiring transparency and auditability. Conclusion General Tensor’s successful $5 million funding round represents a pivotal moment for Bittensor infrastructure development and the broader decentralized AI ecosystem. The investment, led by Goldman Sachs affiliate Goodmorning Holdings, validates the technical and economic potential of decentralized machine intelligence networks. This development supports Bittensor’s continued expansion while addressing critical infrastructure requirements. As decentralized AI gains mainstream recognition, infrastructure investments like General Tensor’s funding will likely play crucial roles in shaping the technological landscape throughout 2025 and beyond. FAQs Q1: What is General Tensor’s relationship to Bittensor? General Tensor operates as an infrastructure developer specifically focused on the Bittensor network, building mining, validation, and subnet infrastructure to support the decentralized AI ecosystem. Q2: Who led the funding round for General Tensor? The $5 million seed and pre-seed funding rounds were led by Goodmorning Holdings, an affiliate of global investment bank Goldman Sachs, indicating significant institutional validation. Q3: How does Bittensor’s approach differ from traditional AI development? Bittensor creates a decentralized marketplace for machine intelligence where participants contribute computational resources and AI models to earn cryptocurrency, contrasting with centralized corporate AI development models. Q4: What technical areas will General Tensor focus on with this funding? The company will develop optimized mining infrastructure, robust validation systems, and specialized subnetworks to enhance Bittensor’s scalability, security, and functionality. Q5: Why is decentralized AI infrastructure gaining investment attention? Decentralized AI addresses concerns about centralized control of artificial intelligence while offering transparent, accessible alternatives, with infrastructure investments supporting the foundational layer enabling multiple applications. This post Bittensor Infrastructure Developer General Tensor Secures $5M in Strategic Funding Boost first appeared on BitcoinWorld .

11 Mar 2026, 16:28

Anthropic faces new executive order threat as lawsuit over Pentagon ban unfolds

The Trump administration is drafting an executive order against Anthropic, the San Francisco AI startup behind Claude, even as a federal lawsuit over an existing government ban on the company plays out in court. Sources familiar with the matter say White House officials are preparing the order. The move is notable because it comes while Anthropic’s legal challenge to earlier government restrictions is still pending. The company sued after it said it was shut out of competing for defense contracts. When asked whether the administration planned further steps beyond the executive order, White House official did not say no. He told Axios any policy announcement will come directly from” Trump and the “discussion about potential executive orders is speculation.” The dispute traces back to Defense Secretary Pete Hegseth, who last month branded Anthropic a “supply chain risk” after contract talks with the Pentagon broke down. On February 27, Hegseth wrote on X, “Effective immediately, no contractor, supplier, or partner that does business with the United States military may conduct any commercial activity with Anthropic.” Anthropic says in court that the ban is retaliation for CEO Dario Amodei’s refusal to allow Claude to be used for mass surveillance or autonomous weapons. Government pressuring Anthropic customers to switch, lawyer says The harm, the company’s lawyers say, is already showing up. At a court status conference last Tuesday, attorney Michael Mongan said the blacklisting is doing “real and irreparable harm” to Anthropic every single day. Customers are pulling back, he said, and the government has been reaching out to them directly to encourage them to switch to other AI companies. “We’ve had university systems and business-to-business companies that have switched to competing AI companies,” Mongan told the court. “Defendants have been affirmatively reaching out to our customers and pressuring them to stop working with Anthropic and switch to other AI companies.” Court filings put numbers on the damage. Anthropic has generated over $5 billion in total commercial revenue to date and spent $10 billion on model training and computing. The company warned that at minimum, hundreds of millions of dollars in 2026 revenue is now at risk. In the worst case, it could be several billion. Dozens of companies have called Anthropic asking what the ban means for them, in some cases asking whether they can walk away from their contracts. Amazon, Alphabet, and Microsoft have all said they will continue offering Claude to customers for now. Why the rest of Big Tech is watching closely The fight matters well beyond Anthropic. The entire AI supply chain, including some of the biggest names in tech, is tangled up in the fortunes of a handful of companies. Microsoft said last month that 45 percent of its $625 billion backlog of demand is tied to OpenAI. OpenAI itself has a $300 billion agreement with Oracle. Those two deals alone represent about two-thirds of the roughly $800 billion that HSBC estimates OpenAI will pour into chips and data centers. The rest goes to companies like Nvidia, AMD, Amazon, and CoreWeave. Anthropic’s spending plans run into the billions as well, and the Pentagon standoff now raises questions about whether those plans can move forward. The timing is particularly awkward because Anthropic is reportedly planning to go public this year. A prolonged government fight is not the backdrop any company wants heading into an IPO. For all the concern, though, if things went badly wrong for Anthropic, someone would probably buy the company before it collapsed. Anthropic reshuffles from inside On Wednesday, Anthropic also said it is creating a new in-house research group called the Anthropic Institute , formed by merging three existing teams. The group will look at how advanced AI affects jobs and economies, whether it makes the world safer or more dangerous, how the values baked into AI systems might rub off on people, and whether humans can keep meaningful control as the technology grows more powerful. The news came with a reshuffling at the top. Jack Clark, one of the company’s co-founders, is stepping down as head of public policy after more than five years and will now lead the new institute under the title of head of public benefit. His replacement on the policy side is Sarah Heck, who was previously head of external affairs. The policy team, which grew three times larger in 2025, will keep working on national security, AI infrastructure, energy, and what Anthropic describes as democratic leadership in AI. The company also plans to open a Washington, D.C. office. Clark said the shift came down to the pace of change in AI. When he looked back at his work last year, he realized he had spent more time on legislation like California’s SB 53 than on the AI research questions he cared most about. He said he thinks powerful AI, the kind the industry often calls AGI, will be here by the end of 2025 or early 2027. When asked if it made sense to build out long-term research while the company’s short-term income is under threat, Clark said he had no worries. “People tend to buy trust,” he said. “Long-term, Anthropic has always viewed its investment in safety, and studying and reporting on the safety of its systems, as being not a cost center but a profit center.” If you want a calmer entry point into DeFi crypto without the usual hype, start with this free video.

11 Mar 2026, 15:51

Binance sues WSJ over Iran-linked crypto transfer report

More on News, Binance Coin USD News Corporation (NWSA) Presents at Morgan Stanley Technology, Media & Telecom Conference 2026 Transcript News Corporation (NWSA) Q2 2026 Earnings Call Transcript Meta inks AI content licensing deal with News Corp. for $50M per year: report News Corporation signals expanded buyback and continued double-digit growth in Dow Jones and digital real estate Seeking Alpha’s Quant Rating on News

11 Mar 2026, 15:19

CoinFello launches AI tool to execute crypto trades without private keys

The biggest unsolved problem in crypto AI is not intelligence, it is trust. Most AI agents that interact with blockchain wallets today do so by storing a user's private key directly in the system. CoinFello , an AI agent built for smart contract interaction, thinks it has a better way. On Wednesday, the company launched its open-source OpenClaw skill in partnership with MetaMask, a framework that lets AI agents execute onchain transactions without ever accessing a user's private key. Rethinking AI wallet security The core of the OpenClaw skill is a concept called delegated permissions. Instead of giving an AI agent broad access to a wallet, users can grant it a narrow, task-specific authorisation, enough to complete one defined action, nothing more. The system runs on two Ethereum standards: ERC-4337 smart accounts and ERC-7710 delegations, both part of the MetaMask Smart Accounts Kit. In plain terms, these are technical frameworks that allow a wallet to issue limited, programmable instructions to another party, in this case, an AI agent, while keeping the actual signing key on the user's own device. The agent can act, but it cannot take anything it was not explicitly authorised to touch. CoinFello's own agents, called Moltbots, act as the user-side layer. A Moltbot receives a natural-language instruction and passes it to CoinFello as a delegated task. Before anything executes, an evaluation layer reviews the transaction for validity. Only then does it go onchain. "If we want agents to participate meaningfully in the onchain economy, we need a security model that is better than handing an autonomous system a private key," said Brett Cleary, CTO at CoinFello. "The CoinFello Skill introduces hardware-isolated keys and fine-grained delegations giving AI agents a secure way to execute transactions while helping bootstrap onchain capabilities for the broader agent ecosystem." What agents can actually do? The capabilities are broad. Using natural-language prompts, Moltbots running the OpenClaw skill can swap ERC-20 tokens, the most common type of crypto asset, bridge funds across different blockchain networks, interact with NFTs, stake assets, lend, automatically rebalance portfolios, and execute multi-step trading strategies. That range matters as it positions CoinFello not as a single-function tool but as a programmable financial agent capable of managing an active onchain portfolio, all without requiring technical knowledge from the user. The skill is built on the Agent Skills specification and is compatible with Claude Code environments. It is released under the MIT licence, meaning developers can freely modify, deploy, and build on it. A growing ecosystem The timing reflects real momentum in the OpenClaw developer ecosystem. In the past two months alone, the OpenClaw GitHub repository has surpassed 150,000 stars and 22,000 forks, strong signals of developer adoption. npm downloads exceeded 416,000 in the past 30 days, a metric that tracks how often developers are actively pulling the code into their own projects. The broader trend is clear: developers are increasingly experimenting with autonomous software agents capable of interacting with decentralised networks. What has been missing is a security architecture credible enough for real financial use. CoinFello's OpenClaw skill is a direct attempt to build that foundation, not by limiting what AI agents can do, but by defining precisely how far their reach should go. The post CoinFello launches AI tool to execute crypto trades without private keys appeared first on Invezz