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13 Feb 2026, 22:59
HBAR turns green as FedEx Corp joins Hedera Council to move supply chain on-chain
FedEx Corp has formally joined the Hedera Council, becoming a governing member of the decentralized network to digitize global supply chains and move operations “on-chain.” FedEx Corp. can now make governance decisions for the Hedera council after it joined the decentralized network. Since the announcement of the partnership, Hedera’s native utility token, HBAR, has climbed over 7%. The HBAR token now trades around $0.097 per unit at the time of publication. HBAR token price. Source: CoinMarketCap How does FedEx plan to use Hedera’s technology? FedEx Corp has officially joined the Hedera Council in order to integrate enterprise-grade blockchain technology into the world’s most complex supply chains. As part of the agreement, FedEx will not only use the technology but will also play an active role in the governance of the Hedera network. Hedera’s native utility token, HBAR climbed over 7% within a 24-hour period, with price hovering around $0.097. The token’s market cap is also up 7.4% to $4.19 billion. It is also seeing renewed interest from institutional and retail investors. Currently, shipping goods across borders involves multiple jurisdictions, various sets of paperwork, and manual verification processes, but now with Hedera’s public distributed ledger, FedEx is creating a shared, trusted platform where data can be verified instantly by all parties without a central authority controlling the information. Under this system, every time a package moves or a document is signed, a digital fingerprint of that action is recorded on the Hedera ledger. Because the ledger is decentralized and immutable, no single party can change the records, providing a high level of trust for customs officials, partners, and customers. Vishal Talwar, the Chief Digital and Information Officer of FedEx Corp, said that the digital transformation of supply chains is “inevitable.” He stated that logistics operations require a way to share data across many parties without increasing security risks as they become digital-native. Hedera’s architecture allows FedEx to keep its sensitive operational data private within its own systems while only posting the necessary “verification” data to the public ledger. FedEx will provide the computer hardware necessary to help run and secure the blockchain. As a Council member, FedEx holds an equal vote alongside other global giants like Google, IBM, Dell, and Deutsche Telekom. They will participate in decisions regarding software updates, treasury management, and the overall strategic direction of the Hedera network. Institutional adoption of digital assets Rather than real-world use cases, Hedera has focused almost exclusively on enterprise adoption. The positive market reaction to the news appears to have been sparked by the FedEx announcement, especially because it is outperforming the modest recovery that the top cryptos by market cap are staging today after a prolonged period under intense pressure. Meanwhile, major corporations continue to actually implement Hedera’s blockchain technology in their businesses. The Lloyds Banking Group and Aberdeen Investments successfully executed the UK’s first foreign exchange trades using tokenized real-world assets (RWAs) as collateral on the Hedera network. Avery Dennison, another Hedera Council member, has been using the network for its atma.io platform to track billions of unique items in the supply chain. The integration of FedEx creates a more “interoperable” ecosystem. Earn 8% CASHBACK in USDC when you pay with COCA. Order your FREE card.
13 Feb 2026, 21:30
Autonomous AI: Openclaw Bot Spawns a ‘Child’ Agent and Funds It With Bitcoin
An Openclaw software agent autonomously provisioned a virtual private server, funded it with bitcoin via the Lightning Network, and purchased AI API credits — all without a human clicking “confirm.” AI Agent Executes End-to-End Bitcoin Payment Flow A February 2026 report released by Alby, an open-source, self-custodial bitcoin wallet and browser-extension platform, lays out what
13 Feb 2026, 21:25
OpenAI Talent Exodus: The Alarming Brain Drain Shaking Artificial Intelligence Giants
BitcoinWorld OpenAI Talent Exodus: The Alarming Brain Drain Shaking Artificial Intelligence Giants San Francisco, March 2025 – A significant talent exodus is currently reshaping the artificial intelligence landscape, with both OpenAI and Elon Musk’s xAI experiencing notable departures among their top researchers and executives. This trend raises critical questions about talent retention in the rapidly evolving AI sector. Industry analysts are closely monitoring these developments, as they could potentially impact the pace of artificial intelligence innovation and competitive dynamics. OpenAI Talent Exodus: Recent Departures and Restructuring OpenAI has faced substantial organizational changes in recent weeks. The company disbanded its mission alignment team, which previously focused on ensuring AI systems remained beneficial to humanity. Additionally, OpenAI terminated a senior policy executive who publicly opposed the company’s “adult mode” feature implementation. These moves follow earlier high-profile departures that began after the November 2023 leadership crisis. Industry observers note that OpenAI’s restructuring reflects broader strategic shifts within the organization. The company is reportedly prioritizing commercial applications and product development over pure research initiatives. Consequently, this change in focus has created tension among researchers who joined the organization specifically for its original mission-driven approach to artificial intelligence development. Organizational Changes at OpenAI The following table outlines key recent changes at OpenAI: Date Event Impact February 2025 Mission alignment team disbanded Reduced focus on AI safety research March 2025 Policy executive termination Removed internal opposition to “adult mode” 2024-2025 Multiple researcher departures Loss of specialized AI expertise xAI Restructuring and Founding Team Departures Meanwhile, xAI has experienced its own significant workforce changes. Approximately half of the company’s founding team members have departed through various means. Some left voluntarily while others exited through what the company describes as “restructuring” initiatives. These developments come just months after xAI launched its Grok AI assistant and secured substantial funding rounds. The departures at xAI represent a notable challenge for the relatively young organization. Founding team members typically possess deep institutional knowledge and specialized expertise that’s difficult to replace quickly. Industry sources suggest that the rapid scaling of xAI’s operations may have created organizational growing pains that contributed to these workforce changes. Key Factors Driving Talent Departures Several interconnected factors appear to be contributing to the current talent exodus from leading AI companies: Ethical Concerns: Researchers increasingly question the direction of AI development priorities Commercial Pressures: Shift from pure research to product development creates cultural tension Competitive Landscape: Numerous well-funded startups and established tech firms offer alternatives Burnout Rates: Intense work environments in cutting-edge AI research lead to fatigue Compensation Packages: Competitive offers from other organizations lure talent away Industry-Wide Implications of AI Talent Movement The current talent exodus from OpenAI and xAI reflects broader trends within the artificial intelligence sector. According to recent data from LinkedIn and tech recruitment firms, AI researcher turnover has increased by approximately 35% across major organizations since late 2024. This movement represents a significant redistribution of specialized knowledge throughout the industry. Furthermore, venture capital firms report increased funding for AI startups founded by former employees of major organizations. These new ventures often focus on specific niches or alternative approaches to artificial intelligence development. Consequently, the concentration of AI talent is gradually shifting from a few dominant players to a more distributed ecosystem of specialized organizations. Historical Context and Comparison The current situation bears some resemblance to previous tech industry talent movements. During the early 2010s, similar patterns emerged in social media companies, while the late 2010s saw significant movement in autonomous vehicle research teams. However, the artificial intelligence sector presents unique challenges due to the specialized nature of the required expertise and the rapid pace of technological advancement. Academic institutions have also noted increased interest from industry researchers considering returns to academia. This trend suggests that some AI professionals are seeking environments with different priorities and timelines than those found in commercial organizations. Universities report a 22% increase in applications from industry AI researchers for faculty positions compared to previous years. Impact on AI Development Timelines and Safety The departure of experienced researchers from leading AI organizations raises important questions about development timelines and safety protocols. Mission alignment teams, like the one disbanded at OpenAI, traditionally played crucial roles in implementing safety measures throughout the development process. Their absence could potentially affect how organizations approach AI safety considerations. Additionally, institutional knowledge loss represents a significant concern. Experienced researchers understand not only technical implementations but also historical context regarding previous approaches and their limitations. New team members typically require substantial time to acquire this depth of understanding, potentially slowing certain research directions while accelerating others. Regulatory and Policy Considerations Government agencies and policy organizations are monitoring these talent movements closely. The redistribution of AI expertise could influence regulatory approaches as knowledge spreads throughout the industry. Some policy experts suggest that having experienced AI safety researchers distributed across multiple organizations might actually strengthen overall industry safety through diversity of approaches. However, other experts express concern about the potential fragmentation of safety best practices. They worry that without centralized leadership in AI safety research, different organizations might develop conflicting approaches to critical safety considerations. This divergence could complicate efforts to establish industry-wide standards and protocols. Future Outlook for AI Talent Retention Looking forward, artificial intelligence companies face significant challenges in talent retention. The current competitive landscape offers numerous alternatives for experienced researchers, including academic positions, startup opportunities, and roles at established technology firms expanding their AI capabilities. Organizations must develop comprehensive strategies to address both compensation and cultural factors to retain their top performers. Some industry leaders are advocating for new approaches to researcher satisfaction and retention. These include clearer paths for advancement within research tracks, reduced administrative burdens on technical staff, and more transparent decision-making processes regarding research directions. Companies that successfully implement these changes may gain competitive advantages in the ongoing competition for artificial intelligence expertise. Conclusion The ongoing talent exodus from OpenAI and xAI represents a significant moment in artificial intelligence development. These departures reflect broader industry trends involving ethical considerations, commercial pressures, and competitive dynamics. As artificial intelligence continues to advance rapidly, the distribution and retention of specialized expertise will remain critical factors shaping the technology’s development trajectory. The current OpenAI talent exodus serves as a case study in the challenges facing organizations at the forefront of technological innovation, with implications extending throughout the entire artificial intelligence ecosystem. FAQs Q1: What percentage of xAI’s founding team has left the company? Approximately half of xAI’s founding team members have departed the company through various means, including voluntary resignations and company restructuring initiatives. Q2: Why did OpenAI disband its mission alignment team? OpenAI disbanded its mission alignment team as part of broader organizational restructuring, reflecting a shift in priorities toward commercial applications and product development over pure research initiatives. Q3: How might these talent departures affect AI safety research? The departures could potentially impact AI safety research by redistributing expertise across organizations, possibly leading to fragmented approaches to safety protocols while also spreading knowledge more widely throughout the industry. Q4: Are other AI companies experiencing similar talent movements? Yes, industry-wide data indicates increased turnover among AI researchers across multiple organizations, with approximately 35% higher movement compared to previous periods, suggesting broader industry trends. Q5: What factors are driving AI researchers to leave major organizations? Key factors include ethical concerns about development directions, tension between research and commercial priorities, competitive offers from other organizations, work environment considerations, and opportunities in academia or startups. This post OpenAI Talent Exodus: The Alarming Brain Drain Shaking Artificial Intelligence Giants first appeared on BitcoinWorld .
13 Feb 2026, 21:06
BTC Has Turned into Risky Assets: Grayscale Report
Bitcoin shows high correlation with software stocks according to the Grayscale report and behaves like a risky asset. BTC at $68,712, close to supports with RSI 35.44. Binance SAFU took 4.545 BTC, ...
13 Feb 2026, 21:02
Why Elon Musk Will Integrate XRP Into X Money
Elon Musk could soon move forward with efforts to transform X into a financial services platform, according to a recent tweet by CryptoSensei. The post claims that “X Money” may enter beta testing within approximately two months, noting that a closed beta version is already active and a public beta phase is expected to follow. The tweet presents the development as a major shift in the platform’s direction. It emphasizes the possibility of integrating financial services, potentially cryptocurrency settlement options, such as XRP, directly into the social media application. CryptoSensei described a scenario in which users could send money, invest funds, and pay bills without leaving the X ecosystem. The post outlines these capabilities as part of a broader transformation of the platform into a multifunctional financial environment rather than a traditional social network. CryptoSensei’s message stresses that the cryptocurrency community should monitor these developments closely, particularly if blockchain-based payment infrastructure becomes part of the system. The tweet suggests that digital asset settlement technology could complement the platform’s financial ambitions if implemented. HUGE: Elon is about to turn X into a bank X Money reportedly hits beta in ~2 months Closed beta is already live, public beta next Imagine doing it all inside X: – sending money – investing – paying bills if they integrate crypto rails, $XRP is one of the cleanest fits… pic.twitter.com/wrFqlz9vvq — CryptoSensei (@Crypt0Senseii) February 12, 2026 Potential Role of Cryptocurrency Settlement In the same post, CryptoSensei stated that if cryptocurrency transaction rails are integrated into X Money, XRP could be a strong candidate for enabling fast and low-cost global settlement . The tweet describes this potential compatibility in the context of cross-border payments and financial transfers within a unified application environment. The commentary does not claim that any cryptocurrency integration has been confirmed. Instead, it presents the possibility as a logical scenario should X pursue blockchain-based financial infrastructure in the future. CryptoSensei concluded by encouraging members of the crypto community to pay attention to how the platform’s financial strategy develops. Community Responses to the Idea Responses to the tweet included differing interpretations of what X’s financial expansion could mean. Chris Wise described the reported initiative as more than a standard platform update, characterizing it as an attempt to build a financial “super-app” similar to WeChat. He referenced the potential for users to send money, invest, and pay bills within a single interface, describing this as an ambitious direction for the platform. Wise added that if cryptocurrency infrastructure is eventually integrated, transaction speed and cost efficiency would be key considerations, noting that XRP could fit those requirements. We are on X, follow us to connect with us :- @TimesTabloid1 — TimesTabloid (@TimesTabloid1) June 15, 2025 Another commenter, Bagitup, offered a different perspective. The response suggested that traditional payment channels, including Visa , would likely handle fiat transactions first, while cryptocurrency integration could come later. Bagitup also argued that the platform would function more as a financial marketplace than a bank and predicted that any crypto support would likely involve multiple digital assets rather than a single settlement option. CryptoSensei’s tweet reflects ongoing interest in how X may expand beyond social media into financial services, particularly as beta testing for X Money reportedly progresses. Disclaimer : This content is meant to inform and should not be considered financial advice. The views expressed in this article may include the author’s personal opinions and do not represent Times Tabloid’s opinion. Readers are advised to conduct thorough research before making any investment decisions. Any action taken by the reader is strictly at their own risk. Times Tabloid is not responsible for any financial losses. Follow us on X , Facebook , Telegram , and Google News The post Why Elon Musk Will Integrate XRP Into X Money appeared first on Times Tabloid .
13 Feb 2026, 19:10
Anthropic's top safety researcher publicly announced his resignation
A lead safety researcher from Anthropic, Mrinank Sharma, announced his resignation from the company this week in a post on X. This decision by Sharma seems to be driven by his concerns surrounding the current state of AI and the world Mrinank Sharma led the Safeguards Research Team at Anthropic, a prominent AI company whose large language model (LLM), Claude, is widely regarded as a top competitor to OpenAI’s ChatGPT . Sharma’s departure was rather abrupt, as the Safeguards Research Team was only officially launched in February of last year. The team’s primary focus was to identify, understand, and help mitigate the risks associated with Anthropic’s deployed AI systems, like Claude. This sudden departure of a top safety researcher at one of the largest U.S. AI companies has caused a great deal of controversy on social media. Perhaps the most notable part of the resignation letter was when Sharma cryptically warned that “the world is in peril.” He attributed this “not just to AI, or bioweapons,” but to “a whole series of interconnected crises unfolding in this very moment.” This was interpreted by many people as a warning about the existential risks that come with AI advancements. Sharma’s resignation is part of a larger, concerning, and accelerating trend of resignations by high-profile employees at AI companies recently. Interpreting Sharma’s resignation letter Mrinank Sharma began the letter by briefly addressing his background and what inspires him, most notably “a willingness to make difficult decisions and stand for what is good.” He also spoke on his contributions to Anthropic, including developing and deploying defenses “to reduce risks from AI assisted bioterrorism,” and writing one of the first AI safety cases. His final project was “understanding how AI assistants could make us less human or distort our humanity.” However, the part of his letter that caused the most concern was the third paragraph. While he did not directly accuse Anthropic of any wrongdoing or blatantly say AI is going to kill us all, he did use a lot of philosophical language to explain his resignation. He stated that “we appear to be reaching a threshold where our wisdom must grow in equal measure to our capacity to affect the world, less we face the consequences.” This was followed up by him writing, “I’ve repeatedly seen how hard it is to truly let our values govern our actions.” He also described the world being in peril from a series of interconnected crises, which he described in a footnote as a “poly-crisis” underpinned by a “meta-crisis.” This language alludes that his departure from Anthropic was triggered by more of a philosophical divergence as opposed to any type of internal dispute at the company. By describing the current moment as a “poly-crisis” underpinned by a “meta-crisis” Sharma seems to be pointing to a much larger structural problem facing society and AI development by extension. Technology is advancing faster than collective wisdom, and the current systems and powers that manage and influence its development are not properly equipped to do so in the current state of the world. The larger takeaway from Sharma’s letter The larger takeaway from Sharma’s resignation letter is multifaceted and existential. On one hand, he seems to believe there is a fundamental problem with how technology companies are navigating the acceleration of AI development inside a competitive system. Global powers are in an arms race to surpass each other in AI and other technological advancements, with global tech spending set to hit $5.6 trillion in 2026 . This means that AI companies are not just innovating and building products, but are a crucial component of geopolitical conflict. Additionally, these companies have a fiduciary responsibility to perform well for shareholders, creating an incentive to outperform their rivals in technological advancement. This fosters an environment where safety principles and procedures must also align with market pressures, national competitiveness, and the expectations of investors. Still, as AI companies rapidly expand and advance their capabilities, they need to identify, understand, and mitigate the risks that come with them. The problem Sharma appears to be addressing is that the current system in which AI companies operate naturally prioritizes growth over safety and ethical considerations. The implications of this dynamic are existentially profound and a great cause for concern. A man like Sharma, who appears to be of good integrity, simply could not continue to operate within this system without compromising on his values, leading him to withdraw from it entirely. Earn 8% CASHBACK in USDC when you pay with COCA. Order your FREE card.
