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SmartKeys in audio form. Listen to fresh insights from SmartKeys.org on business trends, future of work, productivity and SaaS tools. Each episode turns one article into a clear, actionable briefing you can enjoy while commuting, walking or working. Learn faster, work smarter, live better.
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- Today21 min
Small Language Models: When Smaller AI Beats the Giants for Business
Episode 443: The Rise of Compact, Specialized AI🔗 Read the full guide here: https://smartkeys.org/small-language-models/ In this episode of the SmartKeys podcast, we challenge the dominant narrative of the artificial intelligence boom: the assumption that bigger is always better. While frontier large language models (LLMs) like ChatGPT, Claude, and Gemini demonstrate staggering general intelligence, deploying a massive, data-center-backed model simply to route support tickets, extract invoice fields, or summarize internal meetings is the corporate equivalent of hiring a brilliant polymath with multiple PhDs just to sort office mail. It creates massive computational overhead, inflates recurring inference costs, and introduces significant data privacy risks. In this episode, you will learn:The Problem with Universal Frontier Models: Why sending routine, repetitive corporate workflows to cloud-hosted frontier LLMs burns unnecessary compute budget and introduces data residency risks. Defining Small Language Models (SLMs): How models under 10 billion parameters compare to frontier giants across parameters, memory footprints, and compute requirements. Architectural Designs Explained:Encoder-only (e.g., DistilBERT): Reading entire inputs simultaneously for rapid classification and sentiment tagging. Decoder-only (e.g., Gemma, Phi, Qwen, Llama): Predicting next tokens sequentially for generative chat and drafting. Encoder-decoder: Combining ingestion and output generation for structured summarization and translation. Model Compression Mechanics:Knowledge Distillation: Training a compact "student" model to replicate a giant "teacher" model's outputs without inheriting its parameter bloat. Pruning: Removing inactive neural connections and retraining remaining pathways to preserve accuracy. Quantization: Compressing 32-bit floating-point weights down to 8-bit or 4-bit integers (e.g., Llama 3.2 shrinking by 56% while running 2–4x faster). Low-Rank Factorization: Decomposing large weight matrices to slash computation cycles. Real-World Extraction Benchmarks: Why GLiNER2 (205M parameters) matched GPT-4o on CrossNER F1 extraction accuracy (0.590 vs. 0.599) while running in 163 ms on a standard CPU compared to 425 ms. The 4 Strategic Business Advantages:Inference Cost Slashes: Dropping cost per query to fractions of a cent. Ultra-Low Latency: Eliminating network lag for real-time customer support chat and voice assistants. Zero Cloud Leakage: Running completely on-premise or on-device to comply with GDPR and sovereign data residency. Energy Efficiency: Slashing electricity draw and carbon footprint compared to hyperscale data centers. The 80/20 Agentic Routing Strategy: Routing 80% of routine categorization and extraction to local SLMs, escalating only the remaining 20% of open-ended creative reasoning to larger models. RAG vs. LoRA Fine-Tuning: When to use Retrieval-Augmented Generation for changing facts versus Low-Rank Adaptation (LoRA) to train specialized formats and internal acronyms on just a few hundred examples. Hands-On Deployment with Ollama & PocketPal: How to test local open models (Qwen 3.5, Phi-4, Gemma) on your laptop or phone without sending a single byte outside your firewall. Stop paying a premium to run simple office tasks through cloud data centers. Tune in to discover how small language models allow you to cut AI inference costs, eliminate latency, and deploy private, secure intelligence directly on your own hardware. Resources mentioned:🌐 Visit SmartKeys: https://smartkeys.org Note: This episode features an AI-generated conversation based on source material from SmartKeys.org
- Yesterday12 min
AI Email Drafting: Write Faster Replies Without Sounding Generic
Episode 442: Escaping the Generic Inbox Treadmill🔗 Read the full guide here: https://smartkeys.org/ai-email-assistant/ In this episode of the SmartKeys podcast, we tackle the endless administrative treadmill consuming modern professional life: the daily inbox. According to Adobe's benchmark survey, knowledge workers spend roughly 209 minutes every single workday reading, sorting, and answering emails—amounting to nearly half of a standard eight-hour day spent simply managing correspondence. While Gallup data shows that 50% of employed U.S. adults now leverage AI at work and 13% use it daily, an EY workplace study found that companies miss out on up to 40% of their potential AI productivity gains due to poor user training and flawed implementation. In this episode, you will learn:The 209-Minute Email Sinkhole: Why email remains the central operating system of modern business while acting as a massive, unmeasured drain on deep work and strategic execution. The Root Cause of "Robot Voice": Why hitting a generic "draft reply" button forces an LLM to look only at the latest message, causing it to fill the missing relationship context with safe, bland filler. The 2026 Tool Landscape: Comparing native suite add-ons (Copilot for Outlook, Gemini in Workspace) against keyboard-first clients (Superhuman, Shortwave) and on-device privacy architectures (Apple Intelligence, Proton Mail). The 5-Step Context-Driven Workflow:State Intent in One Line: Supplying a direct outcome before generating text. Inject Missing Offline Context: Feeding unwritten agreements, phone calls, and deadlines into the prompt window. Save Standing Style Rules: Setting permanent constraints on length, tone, direct openings, and sign-offs. Edit in Two Passes: Conducting an objective "fact pass" for commitments followed by a "voice pass" to cut robotic phrasing. Build a Personal Prompt Library: Archiving high-performing prompts for routine operational tasks. The Essential "Negative Constraint": Why appending "Do not add information that is not in the thread or in these notes" stops AI from inventing unauthorized discounts or project commitments. Task Selection (Good vs. Poor Fits): Automating meeting confirmations, status updates, and 40-message thread summaries while strictly avoiding AI for contract disputes, sensitive feedback, and high-stakes client outreach. Team Inbox Hazards & Misrouting: Why using AI to route messages in shared support inboxes creates severe blind spots, and how to maintain human-in-the-loop safeguards. Enterprise Security & Shadow AI: Running four non-negotiable checks (training data opt-outs, retention windows, SOC 2/GDPR certifications, and approved tool policies) before connecting work accounts. From Assistants to Autonomous MCP Agents: How the Model Context Protocol enables future agents to coordinate calendars, tasks, and CRMs across applications rather than remaining trapped in the inbox. Stop drowning in routine inbox administrative work. Tune in to discover how to train your AI email tools, establish defensible privacy guardrails, and draft faster messages that preserve your authentic professional voice. Resources mentioned:🌐 Visit SmartKeys: https://smartkeys.org Note: This episode features an AI-generated conversation based on source material from SmartKeys.org
- 2 days ago21 min
Caregiver Benefits: Supporting Employees With Family Duties
Episode 441: Sustaining the Unseen Workforce🔗 Read the full guide here: https://smartkeys.org/caregiver-benefits/ In this episode of the SmartKeys podcast, we address a massive, largely invisible reality underpinning the modern economy: unpaid family caregiving. According to AARP's Caregiving in the US 2025 report, roughly 63 million Americans—nearly one in four adults—now provide care for an aging parent, spouse, or adult relative with a disability. More importantly, six in ten of these caregivers balance caregiving duties alongside full-time or part-time employment. Providing an estimated 49.5 billion hours of unpaid care valued at over $1.01 trillion annually, working caregivers also spend an average of $7,200 out of their own pockets each year. When unmanaged, this strain manifests in the workplace as chronic absenteeism, reduced focus, and quiet resignations among experienced mid-to-senior leaders. In this episode, you will learn:The Scale of Family Caregiving: Why caregiving touches 63 million Americans, and why 60% of caregivers are actively employed rather than staying home full-time. The "Sandwich Generation" Challenge: The immense cognitive and financial pressure on workers in their 40s and 50s who balance caring for elderly relatives while raising children under 18. Core Employer Benefits:True Flexibility: Outcome-based work evaluation, shifted hours, compressed workweeks, and job sharing. Paid Caregiving Leave: Bridging the gap where public programs are absent, explicitly covering extended family like grandparents, in-laws, and siblings. Pre-Tax Savings: Utilizing Dependent Care FSAs (expanded to $7,500 in 2026 under the One Big Beautiful Bill Act) to fund adult day care. Backup Care & Navigation: Professional care navigators acting as specialized "help desks" to untangle facility placements and insurance bureaucracy during medical crises. Public Safety Nets & Legal Frameworks:Federal FMLA vs. State Paid Family Leave: Why FMLA offers unpaid job protection for immediate family, whereas 12 states (including California, New York, and new 2026 programs in Delaware, Minnesota, and Maine) offer actual wage replacement for a broader circle of relatives. Medicaid Self-Directed Programs: How eligible families can receive government funding to hire and pay family members directly as personal care attendants. VA Caregiver Programs (PCAFC): Monthly stipends, health coverage via CHAMPVA, and 30 days of annual respite care for primary caregivers of qualifying disabled veterans. Tax Relief Avenues: Claiming the Credit for Other Dependents ($500), the expanded Child and Dependent Care Credit (up to 50% for lower incomes), medical expense deductions exceeding 7.5% of AGI, and Head of Household filing thresholds. The 5-Step Employer Action Plan: Surveying internal care needs, mapping existing benefit gaps, training frontline managers to eliminate subtle career penalties, and consolidating resources into a clear, accessible guide. Stop treating caregiving as a private issue that employees must manage in secret. Tune in to discover how offering structured caregiver benefits protects your institutional knowledge, prevents executive burnout, and builds a resilient workplace culture. Resources mentioned:🌐 Visit SmartKeys: https://smartkeys.org Note: This episode features an AI-generated conversation based on source material from SmartKeys.org
- 3 days ago22 min
CBAM Explained: How the EU Carbon Border Tax Changes Import Costs
Episode 440: When Carbon Hits the Import Invoice🔗 Read the full guide here: https://smartkeys.org/cbam-carbon-border-tax/ In this episode of the SmartKeys podcast, we explore the structural shift in European trade policy: the Carbon Border Adjustment Mechanism (CBAM). For over two years, CBAM functioned merely as an administrative reporting exercise without direct financial penalties. That transitional phase definitively ended on January 1, 2026, launching the definitive period where covered imports generate real legal payment obligations. Importers face a fundamental new operational baseline: if you cannot account for the greenhouse gases released during overseas production, you face severe border bottlenecks and punitive default penalties. Drawing from the strategic briefing by Felix Römer, we break down why the EU introduced CBAM to close the "carbon leakage" loophole in the EU Emissions Trading System (ETS). We examine the math behind buying CBAM certificates tied to quarterly EU ETS carbon prices (averaging over €75 per tonne of CO₂e), evaluate the phase-in schedule designed to ramp up as domestic free allowances expire, and unpack the crucial 50-tonne exemption threshold that protects smaller businesses while capturing 99% of industrial emissions. Finally, we explain why securing verified plant-level supplier data is far cheaper than accepting the EU's markup-heavy default values, and present a 6-step checklist to prepare your procurement contracts before the first annual surrender deadline in 2027. In this episode, you will learn:Closing the Carbon Leakage Loophole: How CBAM prevents European manufacturers from simply offshoring heavy pollution to countries with lax climate rules by charging an equivalent carbon price at the border. The Certificate Mechanism & Price Tracking: Why CBAM is not a standard tariff paid at the dock, but a requirement to purchase and surrender digital certificates matched to verified embedded emissions (priced at €75.36 in Q1 2026 and €75.28 in Q2 2026 per tonne of CO₂e). The Phase-In Trajectory: How the carbon cost escalates—from 2.5% in 2026 up to 48.5% in 2030 and 100% by 2034 (or 2038 under the proposed ETS review)—in direct proportion to the phase-out of free ETS allowances. Current Scope & The 50-Tonne Exemption Cliff: Which goods are covered by CN code (cement, iron and steel, aluminium, fertilizers, electricity, and hydrogen), and why exceeding the 50-tonne threshold retroactively pulls your entire import volume for that calendar year into the regulatory net. Downstream Expansions on the Horizon: Following negotiations over EU proposals to expand scope to hundreds of downstream metal-intensive product lines starting in 2028. The Critical Compliance Timeline: Key milestones including authorized declarant status, the opening of central certificate sales on February 1, 2027, the quarterly 50% holding rule, and the first formal annual declaration deadline on September 30, 2027. Default Values vs. Verified Plant Data: Why relying on the EU’s punitive, markup-heavy default values erodes product margins, and how to write data-disclosure covenants into supplier agreements. The 6-Step Importer Preparation Plan: Mapping product CN codes, securing declarant status, capturing installation-level audit reports, calculating landed carbon liabilities, unifying data with CSRD accounting, and managing carbon price volatility within your corporate risk register. Stop viewing sustainability as separate from your supply chain balance sheet. Tune in to discover how to navigate CBAM regulations, audit your suppliers’ emissions, and protect your business against unexpected border costs. Resources mentioned:🌐 Visit SmartKeys: https://smartkeys.org Note: This episode features an AI-generated conversation based on source material from SmartKeys.org
- 4 days ago20 min
Password Managers: A Quiet Productivity Upgrade for Daily Work
Episode 439: The Silent Tax on Focus🔗 Read the full guide here: https://smartkeys.org/password-manager-productivity/In this episode of the SmartKeys podcast, we tackle an invisible thief of workplace focus: login friction. While retyping forgotten passwords, waiting for reset links, or chasing colleagues for shared social media credentials feels like minor administrative clutter on its own, across an entire team and year, it creates a massive cognitive drain. Every time a knowledge worker is pulled out of deep focus to handle an administrative login hurdle, the subsequent context-switching penalty destroys precious minutes of momentum.Drawing from the strategic guide by Felix Römer, we explore how modern password managers function as both secure digital vaults and high-speed productivity assistants. We analyze the NIST SP 800-63B-4 guidelines that favor long, 15+ character passwords over fragile periodic rotations, contrast zero-knowledge encrypted vaults against browser-stored sync tools, and highlight Verizon's findings on credential abuse and software vulnerabilities. Furthermore, we break down the rise of biometric passkeys (achieving a 93% sign-in success rate in 8.5 seconds), expose the hidden dangers of shadow IT and unencrypted chat credential sharing, and walk through a 5-step organizational rollout plan to secure your team without causing a mutiny.The Context-Switching Penalty: Why administrative login delays destroy deep work momentum, turning minor hurdles into a steady drain on professional productivity.The Two-Part Architecture:The Encrypted Vault: Zero-knowledge storage where data is scrambled locally so that only the master passphrase can unlock it.The Autofill Assistant: Browser and mobile extensions that instantly match credentials to exact website domains while remaining silent on phishing sites.The NIST 2025/2026 Guidelines: Dispelling outdated security myths—why modern standards prioritize length (15+ characters) over complex symbol mixing, eliminate forced 90-day password changes, and actively endorse password managers.Eliminating Shadow IT & Chat Pinned Passwords: Replacing unencrypted spreadsheets, sticky notes, and passwords pasted into Slack with role-based shared team vaults adhering to the principle of least privilege.Credential Abuse vs. Passkeys: Examining Verizon data where credential stuffing remains a primary vector, and analyzing the FIDO Alliance index showing passkeys achieve a 93% success rate in 8.5 seconds using biometric hardware.Zero-Knowledge Architecture: Why enterprise buyers must insist on zero-knowledge encryption so that even if a vendor’s server is breached, attackers receive nothing more than unreadable mathematical noise.The 5-Step Rollout Playbook: A structured adoption strategy: targeting high-friction shared accounts first, importing personal browser logins, enforcing 2FA on the master vault, resolving active breach reports, and embedding the tool directly into HR onboarding/offboarding checklists.Stop letting login friction tax your team's cognitive energy. Tune in to discover how to deploy zero-knowledge password managers, eliminate shadow IT vulnerabilities, and reclaim hours of lost focus every week.Resources mentioned:🌐 Visit SmartKeys: https://smartkeys.orgNote: This episode features an AI-generated conversation based on source material from SmartKeys.org
- 5 days ago22 min
Quiet Cracking: Spotting Disengagement Before It Becomes Exit
Episode 438: The Slow Slide Before the Exit🔗 Read the full guide here: https://smartkeys.org/quiet-cracking/ In this episode of the SmartKeys podcast, we examine a silent retention threat that productivity dashboards completely miss: quiet cracking. Unlike employees who leave loudly or deliberately pull back, most workers drift away inside their heads first—still closing tickets and attending meetings, while no longer asking questions, volunteering ideas, or talking about next year. Coined in a 2025 TalentLMS survey, quiet cracking affects 54% of US employees at least occasionally and 20% frequently or constantly, feeding into a global engagement crisis that Gallup estimates costs the world economy $10 trillion in lost productivity. Based on the workplace analysis by Felix Römer, we unpack how quiet cracking differs from burnout and quiet quitting, why operational survey scores often mask emotional decline, and the concrete steps leaders can take to rebuild trust before a slow slide turns into a resignation. In this episode, you will learn:Quiet Cracking vs. Burnout vs. Quiet Quitting: Why burnout stems from chronic overload and quiet quitting is a conscious boundary to do the minimum, whereas quiet cracking is an involuntary, gradual loss of faith that one's effort matters—even when the workload is reasonable. Behavioral Early Warning Signs: Why output stays stable while curiosity fades, showing up as silence in meetings, skipped optional training, zero talk about future goals, and cameras staying off. Reading Surveys Between the Lines: Analyzing Perceptyx data where 75% of workers report having the resources to do their job, but only 68% feel valued and 64% see career opportunities—exposing how strong operational metrics hide emotional disengagement. The Four Core Drivers: How the 20-point gap between current role security (82%) and future company security (62%) combines with missing training (42% received none in a year, making them 140% more likely to feel insecure), low recognition (only 26% of affected workers feel valued vs. 80% of peers), and unlistening managers paired with role creep. The Manager Pressure Chain & AI Rollout Risks: Why falling manager engagement (down to 22% in Gallup's report) and unexplained generative AI rollouts—where 80% of staff need new skills but only 64% understand tool selection—accelerate uncertainty. The 6-Step Reconnection Playbook: Running open two-year career conversations with visible follow-through, making annual training the default, mapping internal career lattices (which make staff 3x more likely to stay), giving specific praise, enabling job crafting, and shifting to continuous feedback. Stop waiting for exit interviews to discover why your reliable performers lost faith in their future. Tune in to learn how to spot the quiet signals early, support your managers, and give your team a clear reason to stay. Resources mentioned:🌐 Visit SmartKeys: https://smartkeys.org Note: This episode features an AI-generated conversation based on source material from SmartKeys.org.
- 6 days ago22 min
EUDR Compliance: What Importers Must Prove by December 2026
Episode 437: Tracing Goods Back to the Plot🔗 Read the full guide here: https://smartkeys.org/eu-deforestation-regulation/ In this episode of the SmartKeys podcast, we break down the EU Deforestation Regulation (EUDR)—Regulation (EU) 2023/1115—which turns voluntary supply chain sustainability into a hard legal requirement for EU market access. Aimed at cutting carbon emissions linked to EU consumption by at least 32 million tonnes a year, the regulation governs seven core commodities—cattle, cocoa, coffee, oil palm, rubber, soy, and wood—alongside derived products like chocolate, furniture, paper, and tyres listed by customs (CN) code in Annex I. With the mandatory deadline of December 30, 2026 rapidly approaching for large and medium-sized companies, shipments lacking verifiable proof face border delays, confiscation, and fines of at least 4% of annual EU turnover. Based on the compliance guide by Felix Römer, we unpack the three non-negotiable proof points required for every shipment, examine how the December 2025 simplification and July 2026 delegated act reshaped supply chain obligations, and walk through a six-step checklist to get your supplier data and Due Diligence Statements (DDS) ready in time. In this episode, you will learn:The Three Core Proof Points: Why importers must prove that goods are deforestation-free after December 31, 2020, legally produced under origin-country laws, and traceable via GPS coordinates—requiring full border polygons for plots over four hectares. Key Deadlines & Scope Updates: Navigating the staggered rollout: December 30, 2026 for large and medium operators, June 30, 2027 for most micro and small operators, and the July 2026 delegated act that removes leather and cattle hides while adding soluble coffee and palm oil derivatives from December 30, 2027. The 2025 Simplification Relay: How the rules shifted the heavy lifting to the first operator placing a product on the EU market to file the Due Diligence Statement (DDS), while downstream operators and traders register and pass along reference numbers (cutting estimated compliance costs by nearly 75%). Country Benchmarking & Inspection Quotas: How the EU's low, standard (e.g., Brazil, Indonesia), and high-risk (Belarus, Myanmar, North Korea, Russia) tiers dictate whether you qualify for simplified due diligence and trigger annual authority checks of 1%, 3%, or 9%. Why Certifications Are Not Enough: Why voluntary sustainability labels can support your risk assessment but never replace the operator's legal responsibility to verify plot data and file a DDS. The 6-Step Preparation Checklist: Mapping CN codes against Annex I, clarifying your operator/trader role, requesting plot geolocations from suppliers, updating procurement contracts with audit clauses, testing the EU Information System, and archiving records for five years. Stop treating supply chain traceability as a distant ESG goal. Tune in to learn how to map your customs codes, collect farm-level GPS data, and keep your goods moving smoothly across EU borders. Resources mentioned:🌐 Visit SmartKeys: https://smartkeys.org Note: This episode features an AI-generated conversation based on source material from SmartKeys.org.
- 1 weeks ago15 min
Research Faster With AI: A Workflow That Keeps Sources Honest
Episode 436: Keeping Your Sources Honest🔗 Read the full guide here: https://smartkeys.org/ai-research-workflow/ In this episode of the SmartKeys podcast, we tackle one of the biggest traps in modern knowledge work: mistaking fluent, confident AI output for verified truth. While generative AI can surface papers in seconds, summarize dense reports, and turn rough notes into polished prose, general-purpose chatbots are built to predict plausible text patterns—not to verify facts in a live database. As a widely cited Scientific Reports study demonstrated, asking standard language models for literature reviews resulted in fabricated references 55% of the time with GPT-3.5 and 18% of the time with GPT-4, with even real papers frequently suffering from hallucinated years or page numbers. In this episode, you will learn:Why Chatbots Invent Citations: Understanding why academic references have a highly recognizable text pattern that LLMs easily mimic—resulting in plausible-sounding blends of real author names, journals, and fake titles. The 5-Stage Checkpoint Rule: Why dividing research into Discovery, Reading, Synthesis, Drafting, and Polishing—and refusing to advance until each human checkpoint is cleared—prevents early hallucinations from poisoning your entire project. Stage 1 (Discovery With Grounded Tools): How to use general chatbots strictly to brainstorm synonyms and search queries, while relying on grounded platforms (Elicit, Consensus, Semantic Scholar, Google Scholar, or internal tools like Cassidy AI) to retrieve actual, checkable literature. Stage 2 (Reading & The 5-Point Verification Checklist): Constraining AI to uploaded documents via tools like NotebookLM, prompting specifically for study limitations, and auditing every shortlisted paper across five criteria: Author/Publisher credibility, DOI and publication details, sample size and methods, actual findings vs. abstract summaries, and verbatim quote accuracy. Stage 3 (Synthesis & The Evidence Matrix): Why AI summaries naturally smooth over disagreements, and how to force the model to surface conflicting findings across papers while tracking every source in a structured spreadsheet matrix. Stage 4 (Drafting With Source-Backed Boundaries): Turning your verified outline and Evidence Matrix into a first draft while explicitly forbidding the AI from introducing outside references—keeping ownership of the core argument firmly in human hands. Stage 5 (Polishing Without Meaning Drift): Guarding against subtle editorial overreach—where an AI grammar pass quietly rewrites a cautious "may reduce" into a definitive "reduces"—by comparing before-and-after phrasing on every factual claim. The Traceable Research Log: Why recording your prompts, attached files, and source rejections (a practice echoed by Microsoft’s Skills Hub templates) makes your methodology repeatable, auditable, and ready for academic or corporate disclosure requirements. Automating Discovery Pipelines: How to chain n8n, SerpAPI, and web extractors like Firecrawl or Jina AI to automatically pull, score, and summarize recurring research topics into Google Drive or Notion before human review. Stop gambling your professional credibility on unverified chatbot summaries. Tune in to learn how to combine AI speed with rigorous source verification, build a defensible evidence matrix, and stand behind every claim you publish. Resources mentioned:🌐 Visit SmartKeys: https://smartkeys.org Note: This episode features an AI-generated conversation based on source material from SmartKeys.org
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About SmartKeys Podcast
SmartKeys in audio form. Listen to fresh insights from SmartKeys.org on business trends, future of work, productivity and SaaS tools. Each episode turns one article into a clear, actionable briefing you can enjoy while commuting, walking or working. Learn faster, work smarter, live better.
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