Pascal CESCATO

Posted on Oct 13

AI Weekly — Seeking Honest Feedback

#ai #productivity #automation #help

Hey everyone!

I've recently started putting together a weekly AI newsletter where I share what I find most insightful, surprising, or genuinely useful.

It's not just another list of announcements. My aim is to shine a light on trends, breakthroughs, and often overlooked details that could make a difference for developers, researchers, or anyone with a curious mind.

This isn’t an advertisement, and it isn’t a finished product, I’m really looking for real feedback on delivery of content and format. What works? What feels off? What else would you want more, or none of?

If you're interested in AI, data, or the ways technology is changing our work, I believe you'll find value in this newsletter. Feel free to share your thoughts with me - every comment is important to me!

Here’s what stood out to me this week — a mix of key updates, deep dives, and a few thought-provoking reads you might’ve missed.

AI Weekly Newsletter — Week 42 / 2025

🧭 Weekly Overview

This week's 73 articles highlight a strong push towards AI-driven automation and cost optimization for SMBs. While open-source tools offer significant leverage, the paradox of AI adoption without foundational digital infrastructure remains a key concern, potentially hindering long-term competitiveness.

⚠️ Critical Updates

Go Outperforms Python for AI System Performance

Go demonstrates significantly faster performance (e.g., 19% faster LLM interaction, 73% faster RAG ingestion) and higher throughput (3x for concurrent RAG) compared to Python in AI system development. This directly translates to reduced server costs and faster deployment for SMBs.
Action: Evaluate migrating performance-critical AI components or new projects to Go, especially for RAG pipelines and concurrent request handling.

Optimizing Cloud Costs with DevOps and Open-Source Tools

Significant cost savings (e.g., $2,000/month per microservice) are achievable by right-sizing cloud resources, particularly in Kubernetes environments, using open-source tools like Vertical Pod Autoscaler.
Action: Implement resource quotas and VPA in Kubernetes clusters to automatically optimize resource allocation.

ChatGPT as a Systematic Business Engine for Solopreneurs

Systematic application of ChatGPT, beyond random prompts, can significantly multiply output for writing and marketing, reducing costs and increasing efficiency.
Action: Adopt a structured 3-step framework (define leverage, build simple system, iterate) to integrate ChatGPT into core business workflows.

🧩 Worth Knowing

Disaggregated LLM Serving Reduces Infrastructure Costs — Separating prefill and decode operations in LLM serving architectures can reduce costs by 15–40% and improve throughput up to 6.4x using frameworks like vLLM.
Turso: A Modern, High-Performance SQLite Alternative — Rust-based rewrite of SQLite offering concurrent writes, CDC, and vector search.
Agentic AI Systems Require Robust Guardrails and Governance — Agentic AI increases autonomy but demands strict guardrails and data governance.
Adaptive RAG Systems Enhance AI Accuracy and Relevance — Frameworks like LangGraph and Gemini improve query self-correction and retrieval accuracy.
AI-Powered Coding Assistants Accelerate Development — Tools like Cursor cut dev time from weeks to days with contextual automation.
Fine-tuning LLMs Reduces Token Costs and Improves Relevance — Domain fine-tuning via PEFT cuts token usage and enhances contextual performance.

🧠 Reality Check

AI Adoption Paradox: SMEs Lack Digital Foundations — Despite 46% AI usage, many SMEs lack basic infrastructure, limiting long-term competitiveness.
AI Agent Builder Simplifies, But Lacks Enterprise Control — OpenAI’s drag-and-drop Agent Builder is convenient but less customizable than open-source options like n8n.
AI Hype vs. Profitability — MIT study: 95% of corporate AI projects fail to turn profit due to poor adoption focus and unclear ROI.

🎯 Actionable Advice

Solopreneurs & Freelancers — Use ChatGPT systematically for content and marketing. Explore free AI tools from Google (AI Studio, NotebookLM).
Tech/Development SMBs — Migrate heavy workloads to Go; automate deployments with Docker Compose + Git hooks.
Cloud-Based SMBs — Right-size Kubernetes resources with Vertical Pod Autoscaler; explore Turso as a cost-effective SQLite alternative.
Marketing & Content Teams — Focus content on audience pain points using LEMA/AIDA; prefer tools solving bottlenecks over subscription stacking.

🏆 Best Articles of the Week

Building Three Pipelines to Select the Right LLMs for RAG, Multi-Agent Systems, and Vision

A complete framework for building production-grade AI pipelines using multiple LLMs, optimizing for cost and performance. Includes RAG, multi-agent systems, and vision reasoning examples.
Score: 9.0 | Open Source: ✅ | SMB Applicability: High

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