That didn't take long. 🤭 GEMINI-3: LIBERATED

Hi everyone, My name is @Reynoso Anubis , I’m a beginner Virtual Assistant focusing on supporting automation and AI agencies. My mission is simple: free up your time by taking care of recurring micro-tasks, while I continue learning and building real-world experience in Make.com, n8n, and automation workflows. I understand how busy agencies get — your automation experts shouldn’t be spending hours on repetitive admin, research, or testing tasks. That’s where I come in: I handle the small but important things so your team can focus on high-level work and clients. I’m flexible, quick to learn, and motivated to grow in this field. I would love the opportunity to support your agency with reliable and detail-oriented assistance. 🔑 What I Can Propose - Communication & Client Support: Managing inboxes, scheduling meetings, sending follow-ups, and keeping client interactions smooth. - Research & Troubleshooting: Searching forums (Reddit, Skool, GitHub, Make.com, n8n docs, Hugging Face, etc.) for solutions to automation issues. - Automation Support: Testing workflows, documenting SOPs, reporting bugs, or even building small simple automations. - Marketing & Outreach: Lead research, sending prospect messages, and following up with potential customers. - Creative Support: Writing AI prompts or searching for specialized prompts that improve workflows or creative outputs. 🛠 Services I Can Provide Here’s a clear list of the services I can offer right now: 📩 Communication & Admin - Manage client inboxes and forward important requests - Follow up with clients for missing info (e.g., API keys, login details) - Schedule calls or meetings between clients and your team - Send simple project updates to clients 🔎 Research & Troubleshooting - Search forums and communities (Reddit, Skool, GitHub, Make.com, n8n docs, Hugging Face) for automation fixes - Collect best practices or ready-made templates for automations - Research alternative tools when direct integrations don’t exist

We keep hearing it. "AI will enhance jobs, not replace them." It's the same reassuring mantra repeated by CEOs, consultants, and optimists everywhere. But I've spent the past three years building AI applications in voice and chat as a Chief AI Officer. I've watched the technology evolve from impressive to devastating. And I need to tell you something nobody wants to hear: They're lying to you. Or worse, they actually believe it. The "AI will enhance not replace" narrative is exactly like saying automobiles would enhance horses, not replace them. Sure, technically true in the narrowest sense, some horses still exist. But we didn't need 20 million horses in 1900 to become 20 million "enhanced" horses in 1950. We needed about 3 million. The other 17 million? Gone. Except this time, you're the horse. The Numbers Don't Lie, They Scream October 2025 just became the worst month for job cuts in over 20 years. Companies announced 153,074 layoffs, almost triple the same month last year. This isn't a blip. This isn't a correction. This is the beginning. By July 2025, over 130,000 tech workers had already lost their jobs. The year isn't even over and we've seen more than 806,000 total job cuts announced, the highest figure since 2020. But here's what should terrify you: these aren't struggling companies. Microsoft posted $70.1 billion in revenue (up 13%) while cutting 15,000 jobs. Cisco reported a 5% revenue increase and then laid off hundreds. Intel is eliminating 15% of its entire global workforce, not because they're failing, but because they're "optimizing." The pattern is clear: profit is up, humans are out. What's Really Happening Behind the Press Releases Let me give you the translation guide for corporate-speak: When Amazon CEO Andy Jassy says AI will lead to a "reduction in corporate workforce," he's not talking about restructuring. He's talking about 14,000 middle managers being shown the door. When Microsoft mentions GitHub Copilot writing 30% of new code, they're explaining why they don't need thousands of engineers anymore.

Today Monday November 3th, 2025, the food and beverage industry stands at a pivotal juncture where Artificial Intelligence (AI) is reshaping demand forecasting, operational strategies, and business outcomes. Today, we explore three critical facets of AI adoption: the advancements in AI-powered demand forecasting, real-world case studies of major brands leveraging this technology, and the quantifiable return on investment (ROI) these innovations deliver. Together, these insights underscore how AI is driving smarter, more sustainable practices in the consumer packaged goods (CPG) sector.

*To whom it may concern... A 115-page guide covers everything you need to fine-tune LLMs, from fundamentals to advanced techniques. What's covered: - Task- and domain-specific fine-tuning - Parameter-efficient methods: PEFT, LoRA, QLoRA, DoRA, HFT - Expert-based architectures: MoE, Lamini Memory Tuning, MoA - Alignment and optimization: PPO, DPO - Model simplification: Pruning If you’re serious about mastering LLM fine-tuning, this is one of the most comprehensive open resources available. Guide