hodler

10 Mar 2026, 07:45

‘Disappointing’: U.S. DoJ seeks retrial of Tornado Cash founder

Will DeFi software developers really have legal protections in the U.S?

10 Mar 2026, 04:23

TRON Joins Agentic AI Foundation to Support Open Infrastructure for Autonomous AI Systems

Geneva, Switzerland, March 9, 2026 — TRON DAO , the community-governed DAO dedicated to accelerating the decentralization of the internet through blockchain technology and decentralized applications (dApps), today announced that TRON has joined the Agentic AI Foundation (AAIF), an open foundation driving the transparent and collaborative evolution of agentic AI. Under the Linux Foundation, the AAIF is designed to provide neutral stewardship for open, interoperable infrastructure as agentic AI systems move from experimentation into real-world production. TRON has joined the AAIF as a Gold Member and will serve on the Foundation’s Governing Board. As AI becomes more embedded in everyday technology through tools that perform real tasks in business and consumer environments, the volume of machine-driven activity is expected to grow significantly. Supporting this activity requires infrastructure that is fast, reliable, and globally accessible, placing new demands on payment systems capable of handling continuous, high-volume, low-value transactions efficiently at scale. The scale and operational efficiency of the TRON network provide the capacity required to support the high-frequency, automated activity expected from AI systems and autonomous AI agents. “Autonomous AI systems will depend on open, reliable, and globally accessible infrastructure to operate securely at scale,” said Justin Sun, Founder of TRON. “As a member of the Agentic AI Foundation, we look forward to contributing to the development of open frameworks that allow AI agents to interact with decentralized networks and digital financial infrastructure.” “TRON’s ongoing commitment and contributions to open source prove that critical infrastructure is best built through collaboration,” said Jim Zemlin, executive director of the Linux Foundation. “We are thrilled to welcome TRON as a Gold Member of the Agentic AI Foundation.” The TRON network has become one of the most widely used blockchain networks for stablecoin settlement and everyday digital payments, supporting more than $22 billion in daily transaction volume. This real-world adoption has established the network as a reliable blockchain infrastructure for payments, remittances, and peer-to-peer transfers. The TRON network’s high throughput, deep liquidity, and low transaction costs provide an ideal operational foundation for emerging machine-to-machine financial interactions at scale. TRON DAO’s participation in the AAIF reflects the growing industry focus on open standards as autonomous AI systems move from experimentation toward broader deployment. Interoperable frameworks are expected to play an important role in ensuring that AI agents can operate across platforms and services without creating fragmented ecosystems. By supporting the development of open infrastructure through the Foundation, TRON DAO aims to contribute to collaborative standards that make AI agents easier to build, safer to operate, and more accessible. About TRON DAO TRON DAO is a community-governed DAO dedicated to accelerating the decentralization of the internet via blockchain technology and dApps, Founded in September 2017 by H.E. Justin Sun, the TRON blockchain has experienced significant growth since its MainNet launch in May 2018. Until recently, TRON hosted the largest circulating supply of USD Tether (USDT) stablecoin, which currently exceeds $85 billion. As of March 2026, the TRON blockchain has recorded over 369 million in total user accounts, more than 13 billion in total transactions, and over $23 billion in total value locked (TVL), based on TRONSCAN. Recognized as the global settlement layer for stablecoin transactions and everyday purchases with proven success, TRON is “Moving Trillions, Empowering Billions.” TRONNetwork | TRONDAO | X | YouTube | Telegram | Discord | Reddit | GitHub | Medium | Forum Media Contact Yeweon Park

9 Mar 2026, 19:55

Anthropic Code Review Launches to Tame the Critical Flood of AI-Generated Code

BitcoinWorld Anthropic Code Review Launches to Tame the Critical Flood of AI-Generated Code In a strategic move to address a critical bottleneck in modern software development, Anthropic has launched an AI-powered Code Review tool designed specifically to audit the massive volume of code generated by its own Claude Code assistant. The launch, confirmed on Monday, June 9, from San Francisco, CA, targets enterprise clients grappling with the dual-edged sword of accelerated AI coding and the subsequent flood of pull requests requiring review. Anthropic Code Review Addresses the ‘Vibe Coding’ Bottleneck The rapid adoption of AI coding assistants has ushered in the era of ‘vibe coding,’ where developers describe desired functionality in plain language and receive large code blocks in return. Consequently, this paradigm shift has dramatically increased developer output. However, it has also introduced new challenges, including subtle logical bugs, security vulnerabilities, and poorly understood code that can compromise long-term software health. Anthropic’s new tool directly confronts these issues by automating the initial review process. Cat Wu, Anthropic’s Head of Product, explained the market demand to Bitcoin World. “We’ve seen tremendous growth in Claude Code, especially within the enterprise,” Wu stated. “A recurring question from leaders is: ‘Now that Claude Code is generating numerous pull requests, how do we review them efficiently?’ Code Review is our answer to that.” The tool integrates directly with platforms like GitHub, automatically analyzing submitted code and providing inline comments that explain potential issues and suggest fixes. The Enterprise-Driven Solution for Scaling Development This product launch arrives at a pivotal moment for Anthropic. The company recently filed lawsuits against the Department of Defense following a supply chain risk designation, potentially increasing reliance on its commercial enterprise segment. Significantly, Anthropic reports that Claude Code’s run-rate revenue has surpassed $2.5 billion since launch, with enterprise subscriptions quadrupling since the start of the year. Wu emphasized the tool’s focus on logic errors over stylistic preferences, a design choice aimed at providing immediately actionable feedback. “Developers get annoyed with non-actionable AI feedback,” she noted. “We focus purely on logic errors to catch the highest priority fixes.” The system employs a multi-agent architecture where different AI agents examine code from various perspectives in parallel. A final agent then aggregates findings, removes duplicates, and prioritizes issues by severity using a color-coded system: red for critical, yellow for review-worthy, and purple for historical code problems. Pricing, Performance, and the Future of AI-Assisted Development As a premium, resource-intensive service, Code Review operates on a token-based pricing model. Wu estimated the average cost per review between $15 and $25, varying with code complexity. The tool provides a baseline security analysis, with deeper audits available through Anthropic’s separate Claude Code Security product. Engineering leads can also customize the system to enforce internal best practices. The introduction of this tool reflects a broader industry trend where AI-generated content necessitates AI-powered quality control. “Code Review is coming from an insane amount of market pull,” Wu asserted. “As friction to creating features decreases, demand for review skyrockets. We aim to enable enterprises to build faster with fewer bugs than ever before.” The tool is initially available in a research preview for Claude for Teams and Claude for Enterprise customers, including major clients like Uber, Salesforce, and Accenture. Comparative Analysis of AI Code Review Approaches Focus Area Anthropic Code Review Traditional Human Review Basic Linter Tools Primary Goal Catch logical bugs in AI-generated code Ensure quality, knowledge sharing, standards Enforce syntax and style rules Speed Seconds to minutes (parallel agents) Hours to days Instantaneous Scalability High, handles volume from AI coders Limited by human bandwidth High Key Strength Prioritizes high-severity logic errors Contextual understanding, mentorship Consistency and formatting This strategic development underscores a maturation in the AI coding assistant market. Initially focused on raw code generation, leaders like Anthropic are now building vertically integrated ecosystems. These ecosystems address the entire software development lifecycle, from ideation and writing to review and security. Conclusion Anthropic’s launch of its AI-powered Code Review tool marks a significant evolution in managing AI-generated code . By targeting the critical bottleneck of pull request review, the company addresses a direct pain point for its booming enterprise clientele. The tool’s focus on logical errors, multi-agent analysis, and seamless GitHub integration positions it as a necessary layer of quality assurance in the ‘vibe coding’ era. As AI continues to transform software development, automated review systems like Anthropic’s will become essential infrastructure for maintaining velocity, security, and code integrity at scale. FAQs Q1: What is the main problem Anthropic’s Code Review tool solves? The tool addresses the bottleneck created when AI coding assistants like Claude Code generate a high volume of pull requests much faster than human teams can review them, helping to catch logical bugs and security risks early. Q2: How does Anthropic’s Code Review differ from a standard linter? While linters focus on code style and syntax, Anthropic’s tool is designed to identify higher-level logical errors and potential bugs in the code’s functionality, prioritizing issues by severity. Q3: Who is the primary target audience for this new tool? The tool is targeted at large-scale enterprise users of Claude Code, such as Uber, Salesforce, and Accenture, who need to manage and scale the review process for AI-generated code across large engineering teams. Q4: How much does Anthropic’s Code Review cost? Pricing is token-based and varies with code complexity. Anthropic estimates the average cost per code review will be between $15 and $25. Q5: What is ‘vibe coding’ and how does it relate to this launch? ‘Vibe coding’ refers to the practice of using AI tools to generate code from plain language instructions. While it speeds up development, it can also produce more code with hidden bugs, creating the need for robust AI-powered review systems like Anthropic’s. This post Anthropic Code Review Launches to Tame the Critical Flood of AI-Generated Code first appeared on BitcoinWorld .

9 Mar 2026, 19:30

UN says the adoption of “frontier technologies” like AI is crucial to Africa’s future economic progress

The United Nations previewed its Economic Report on Africa 2026 this Monday. The report, headed by the U.N. Economic Commission for Africa (ECA), argues that widespread technological adoption and implementation will be key to solidifying the continent’s economic future. The U.N.’s upcoming Economic Report on Africa 2026 (ERA 2026) is an annual publication that addresses the current state of the African economy as well as projections and solutions for its growth. A preview of this year’s report, titled “Growth through Innovation: Harnessing Data and Frontier Technologies for Africa’s Economic Transformation,” is largely focused on how widespread technological adoption is key to African economic expansion. The global economic landscape is changing rapidly due to the advancement of AI and other related technologies, and the UN ECA argues Africa is not immune to this shift. According to their upcoming report, much of Africa’s economic success in recent years has been driven by factor accumulation. This refers to economic growth reliant on the accumulation of labor or resources (i.e., manufacturing) to produce more goods and services. While this has helped Africa achieve steady economic growth in recent years, the report argues that rapid technological adoption will usher in a profound new era of growth and transformation. The potential benefits and challenges of technological adoption in Africa The United Nations ECA projects the African economy will grow by 4.3% in 2026, marking an improvement from 3.9% in 2025. This growth is expected to be supported by increased infrastructure investment and trade between African nations , as well as stabilizing commodity prices. However, a United Nations African Renewal report places growth prospects at 4% for 2026, citing factors like debt burdens, food inflation, trade issues, and geopolitical uncertainties as challenges to progress. The ECA also mirrors these concerns in its upcoming report. ECA Executive Secretary Calver Gatete believes the key to tackling these challenges lies in widespread technological adoption, stating that “harnessing frontier technologies is now essential to closing the continent’s productivity gap.” His opinion is that embracing technologies like AI, robotics, and machine learning could lead to substantial productivity gains, but the actual impact ultimately relies on proper implementation and investment. The report suggests that building better infrastructure, strengthening institutions, investing in education, and innovation are essential routes to maximizing the transformative potential of these technologies. Africa’s role in the global technological revolution ERA 2026 projects that the global frontier technology market could reach over $16 trillion USD by 2033. Africa has immense potential to become a key player in this global technological revolution due to its wealth of natural resources and expanding young population. Seeing as the structural transformation of Africa’s economy has largely been driven by manufacturing, the proper implementation of new technologies into this industry could catapult the continent into a new era of rapid economic expansion. Early indicators of this are already being seen in sectors like agriculture, transportation, and energy services, where AI and automation are beginning to boost productivity. The official Economic Report on Africa 2026 will be launched later this month at the ECA Conference of Ministers in Tangier, Morocco. High-level African leadership and decision makers will be present at this event to discuss both the potential and actual implementation of the framework outlined in the ERA 2026 report. If you're reading this, you’re already ahead. Stay there with our newsletter .

9 Mar 2026, 18:20

OpenAI’s Strategic Acquisition of Promptfoo: Fortifying the Future of Secure AI Agents

BitcoinWorld OpenAI’s Strategic Acquisition of Promptfoo: Fortifying the Future of Secure AI Agents In a decisive move to address escalating security concerns in autonomous artificial intelligence, OpenAI announced on Monday, March 9, 2026, its acquisition of the cybersecurity startup Promptfoo. This strategic acquisition, based in San Francisco, California, directly targets the vulnerabilities inherent in large language models (LLMs) and the emerging class of independent AI agents. Consequently, the frontier lab aims to integrate Promptfoo’s specialized testing technology into its enterprise-grade platform, OpenAI Frontier, signaling a major industry shift towards hardened, production-ready AI systems. OpenAI Acquires Promptfoo to Bolster Enterprise Security The development of sophisticated AI agents capable of performing complex digital tasks autonomously has generated immense excitement for potential productivity gains across industries. However, this rapid advancement simultaneously creates fresh attack vectors for malicious actors. Bad actors could potentially exploit these systems to access sensitive corporate data, manipulate automated workflows, or cause widespread operational disruption. Therefore, OpenAI’s acquisition of Promptfoo underscores a critical industry-wide scramble. Frontier AI labs must now prove their technologies can operate safely and reliably within critical business environments. Founded in 2024 by security experts Ian Webster and Michael D’Angelo, Promptfoo developed a suite of tools specifically designed to probe LLMs for security weaknesses. The company’s offerings include an open-source interface and a comprehensive testing library. Impressively, Promptfoo reports that over 25% of Fortune 500 companies already utilize its products to stress-test their AI implementations. Despite its significant market penetration, the startup remained lean, having raised only $23 million in venture capital. Pitchbook data indicates Promptfoo reached an $86 million valuation after its most recent funding round in July 2025. OpenAI has not disclosed the financial terms of the acquisition. The Rising Threat Landscape for Autonomous AI The push towards agentic AI—systems that can perceive, plan, and act with minimal human intervention—fundamentally changes the security paradigm. Traditional cybersecurity focuses on perimeter defense and data integrity. In contrast, securing an AI agent requires safeguarding its decision-making process, prompt integrity, and operational boundaries against sophisticated manipulation, often called “prompt injection” or “jailbreaking.” These threats are not merely theoretical. Security researchers have repeatedly demonstrated techniques to make LLMs bypass their safety guidelines, generate harmful content, or divulge confidential information embedded in their training data. For an AI agent managing financial transactions, customer service, or supply chain logistics, a successful attack could have catastrophic consequences. As a result, proactive security testing has transitioned from a best practice to an absolute necessity for enterprise adoption. How Promptfoo’s Technology Addresses Core Vulnerabilities OpenAI’s official blog post detailed how Promptfoo’s technology will be integrated. The tools will enable the OpenAI Frontier platform to perform several critical security functions autonomously. First, the platform will conduct automated red-teaming, systematically simulating adversarial attacks to identify weaknesses before deployment. Second, it will evaluate complex, multi-step agentic workflows for hidden security concerns that might not be apparent in single interactions. Finally, it will provide continuous monitoring for risks and compliance needs during live operations. Notably, OpenAI also committed to continuing development on Promptfoo’s open-source offerings. This commitment suggests a dual strategy: providing robust, proprietary security within its paid enterprise platform while contributing to the broader ecosystem’s security baseline through open-source tools. This approach can help establish industry-wide standards and best practices. Key Security Capabilities Gained: Automated Adversarial Testing: Systematically attacks AI systems with known and novel exploit techniques. Workflow Vulnerability Assessment: Analyzes chains of AI actions for cumulative risk. Real-time Compliance Monitoring: Tracks agent activity against regulatory and policy frameworks. Benchmarking and Evaluation: Provides quantifiable security scores for different model configurations. Promptfoo at a Glance (Pre-Acquisition) Metric Detail Founded 2024 Founders Ian Webster, Michael D’Angelo Core Focus LLM & AI Agent Security Testing Fortune 500 Penetration >25% Total Funding $23 Million Last Known Valuation (July 2025) $86 Million Key Offering Open-source testing library & interface Strategic Implications for the AI Industry This acquisition is a clear market signal. The era of deploying powerful AI models with only basic safety filters is ending. For enterprise customers, especially in regulated sectors like finance, healthcare, and government, demonstrable security is now a primary purchasing criterion. OpenAI’s move preemptively addresses this demand, potentially giving its Frontier platform a significant competitive edge against other enterprise AI offerings from companies like Google, Anthropic, and Microsoft. Furthermore, the deal highlights the growing value and strategic importance of highly specialized AI security startups. As the core model technology from major labs begins to mature, differentiation and value will increasingly come from the tooling, safety, and integration layers built around them. Expect increased merger and acquisition activity in this niche as other tech giants seek to bolster their own security credentials. The Broader Trend: Security as a Foundational Pillar OpenAI’s action aligns with a broader industry trend where AI safety is expanding beyond content moderation to encompass operational security, reliability, and resilience. This includes efforts like the NIST AI Risk Management Framework and increasing scrutiny from global regulators. By baking security testing directly into its agent platform, OpenAI is not just selling a tool; it is advocating for a development philosophy where security is integrated from the ground up, not bolted on as an afterthought. This philosophy is essential for building lasting trust with business stakeholders and the public. Conclusion OpenAI’s acquisition of Promptfoo represents a pivotal moment in the commercialization of artificial intelligence. It moves the conversation from raw capability to secure, dependable operation. By integrating advanced, automated security testing directly into its OpenAI Frontier platform, the company is addressing one of the most significant barriers to widespread enterprise adoption of autonomous AI agents. This strategic decision underscores that the future of AI will be shaped not only by who has the most powerful models but also by who can most effectively secure them. The integration of Promptfoo’s technology will be closely watched as a benchmark for how frontier AI labs operationalize safety and security at scale. FAQs Q1: What is Promptfoo and what does it do? Promptfoo is an AI security startup founded in 2024 that develops tools for testing security vulnerabilities in large language models (LLMs) and AI agents. Its products include an open-source testing library and interface used to perform automated red-teaming and evaluate AI systems for risks. Q2: Why did OpenAI acquire Promptfoo? OpenAI acquired Promptfoo to integrate its advanced security testing technology directly into the OpenAI Frontier enterprise platform. The goal is to enhance the security, reliability, and compliance features of its AI agents, addressing critical concerns for business customers and staying competitive in the enterprise AI market. Q3: What are the security risks associated with AI agents? AI agents face risks like prompt injection (manipulating the agent with malicious instructions), jailbreaking (bypassing safety controls), data exfiltration (leaking sensitive information), and workflow manipulation (causing harmful sequences of actions). These threats necessitate specialized security testing. Q4: Will Promptfoo’s open-source tools remain available? Yes. OpenAI stated in its announcement that it expects to continue building out and supporting Promptfoo’s open-source offerings, contributing to the broader AI security ecosystem while providing enhanced proprietary tools within its paid platform. Q5: How does this acquisition affect the competitive landscape for enterprise AI? This acquisition strengthens OpenAI’s position by directly addressing a top enterprise concern: security. It raises the bar for competitors, likely accelerating industry-wide investment in integrated AI security solutions and making demonstrable safety a key differentiator for all enterprise AI platform providers. This post OpenAI’s Strategic Acquisition of Promptfoo: Fortifying the Future of Secure AI Agents first appeared on BitcoinWorld .

9 Mar 2026, 17:10

Canada Labor Market Analysis: National Bank Forecasts Cautious February Rebound

BitcoinWorld Canada Labor Market Analysis: National Bank Forecasts Cautious February Rebound OTTAWA, CANADA – February 2025. The National Bank of Canada (NBC) projects a modest rebound for the Canadian labor market this February, according to its latest economic analysis. This forecast arrives after a period of notable volatility in employment figures, signaling a potential stabilization phase for the national economy. Analysts closely monitor these indicators as they provide critical insights into consumer spending power, inflationary pressures, and overall economic health. Analyzing the Expected February Labor Market Rebound The National Bank of Canada’s analysis points toward a measured recovery in job creation for February. This projection follows a detailed review of leading indicators, including hours worked, business sentiment surveys, and temporary employment trends. Historically, February often shows seasonal adjustments post-holiday hiring lulls, but the current forecast is tempered by broader macroeconomic conditions. Several factors contribute to this cautious optimism. Firstly, service sector demand has shown resilience. Secondly, public infrastructure projects continue to generate employment. However, the manufacturing and technology sectors face ongoing headwinds. Consequently, the overall rebound appears modest rather than robust. Key indicators monitored by the NBC include: Monthly Survey of Employment, Payrolls and Hours (SEPH) data Labour Force Survey participation rates Average weekly earnings growth Job vacancy and turnover statistics Contextualizing the Current Economic Landscape Understanding this forecast requires examining recent labor market history. The Canadian economy experienced significant employment gains throughout late 2024, followed by a surprising contraction in January 2025. This volatility reflects global economic uncertainty and domestic policy adjustments. Therefore, a February rebound would align with a pattern of economic resilience. Monetary policy remains a dominant influence. The Bank of Canada’s interest rate decisions directly affect business investment and hiring plans. Currently, a relatively stable rate environment provides some predictability for employers. Meanwhile, federal and provincial immigration targets continue to expand the labor pool, adding both supply and demand dynamics. Expert Perspectives on Employment Trends Economists emphasize the distinction between ‘modest’ and ‘strong’ rebounds. A modest increase suggests the economy is absorbing workers without overheating. This balance is crucial for controlling inflation. For instance, rapid wage growth can fuel persistent price increases. Therefore, a gradual improvement is often viewed as sustainable. Regional disparities also play a critical role. Alberta’s energy sector and British Columbia’s technology hubs may show different trajectories than Ontario’s manufacturing or Quebec’s public sector. The National Bank’s national forecast aggregates these varied regional stories into a single narrative. Consequently, local labor markets may outperform or underperform the national average. Sector-Specific Employment Outlook for February Not all industries will contribute equally to the anticipated rebound. The healthcare and social assistance sector remains a consistent job creator due to demographic trends. Conversely, retail trade often sees a post-holiday slowdown. Construction activity is highly weather-dependent in February, particularly in eastern provinces. The following table illustrates recent sector performance and potential February trends: Sector January Trend February Outlook Professional, Scientific & Technical Services Moderate Growth Stable Accommodation & Food Services Decline Modest Rebound Manufacturing Contraction Flat Public Administration Growth Continued Growth Furthermore, the gig economy and remote work trends complicate traditional measurement. Statistics Canada continues to refine its methodologies to capture these modern employment forms. Accurate data is essential for policymakers and the National Bank’s analysts. Implications for Monetary Policy and Inflation The labor market’s strength is a primary input for the Bank of Canada’s interest rate decisions. A modest rebound likely supports a patient approach to any future rate changes. Strong employment sustains consumer spending, which accounts for over half of Canada’s GDP. However, if wage growth accelerates sharply, it could signal inflationary pressures. Currently, wage growth has moderated from earlier peaks. This moderation provides the central bank with greater flexibility. The February data will be a key piece of evidence in the next policy decision. Financial markets scrutinize every jobs report for clues about future rate paths. Therefore, the National Bank’s forecast carries significant weight. The Role of Demographic and Immigration Trends Canada’s labor force is evolving rapidly. An aging population increases retirements, while high immigration levels introduce new workers. This dynamic creates both challenges and opportunities. For example, skill shortages in trades contrast with surpluses in other fields. Immigration policy aims to align newcomer skills with economic needs. Temporary foreign worker programs also affect monthly employment numbers. These programs respond to acute labor shortages in agriculture and hospitality. Their impact is often visible in seasonal adjustments. Analysts must disentangle these program effects from underlying organic job growth. Conclusion The National Bank of Canada’s expectation for a modest February labor market rebound reflects a complex economic environment. This forecast suggests stabilization rather than a surge, which may support sustainable growth without exacerbating inflation. The coming month’s data will validate or challenge this assessment, providing crucial information for businesses, policymakers, and households. Monitoring these labor market trends remains essential for understanding Canada’s economic trajectory in 2025. FAQs Q1: What does a ‘modest rebound’ in the labor market mean? A modest rebound indicates a slight to moderate increase in employment numbers following a decline. It suggests recovery is occurring but not at a rapid or overheating pace, which economists often view as sustainable for long-term growth. Q2: Why is the National Bank of Canada’s forecast important? The NBC is one of Canada’s major financial institutions with a respected economic research team. Their forecasts influence market expectations, business planning, and provide analysis that policymakers may consider alongside official data from Statistics Canada. Q3: How does February’s labor data typically behave seasonally? February often shows a recovery from January’s post-holiday slowdowns in sectors like retail. However, it can still be affected by winter weather, particularly in construction. Analysts use seasonal adjustment models to account for these patterns. Q4: What are the main risks to this February rebound forecast? Key risks include a sharper-than-expected global economic slowdown, renewed supply chain disruptions, severe winter weather impacting work hours, or sudden shifts in business confidence due to geopolitical events or domestic policy changes. Q5: How does wage growth factor into labor market health? Sustained, moderate wage growth indicates a healthy balance, showing workers are benefiting without forcing businesses to raise prices excessively. Rapid wage growth can fuel inflation, while stagnant wages may signal weak worker bargaining power or economic slack. This post Canada Labor Market Analysis: National Bank Forecasts Cautious February Rebound first appeared on BitcoinWorld .