Misar.Blog Podcast

Step-by-step guide to building an MCP server in 2026: TypeScript SDK setup, tool registration with zod, stdio vs Streamable HTTP transports, MCP Inspector… From the article "How to Build an MCP Server: Complete 2026 Tutorial" by Synor, published on Misar.Blog.

In this episode:
0:00 An MCP Server Is a Small Program Exposing Tools
1:41 The Fastest Path to Building an MCP Server in 2026 Is Using
3:38 Zod Schemas Are Used to Define Tool Inputs and Are Automatically Converted
4:07 Tool Descriptions Function as Prompts for the Model
5:29 When Using Stdio Transport
6:51 MCP Defines Two Main Production Transports
8:06 The Official MCP Inspector Is the Standard Debugging UI for Testing Servers
10:07 Connecting an MCP Server to Claude Desktop Requires Updating
11:36 Security Best Practices for MCP Servers Include Strict Input Validation
13:48 Python and Several Other Programming Languages

This episode is narrated by an AI voice from a written article.

More episodes:

• Tokenized Money Market Funds vs Stablecoins: On-Chain Cash
• Best PSU for a Used RTX 4090 (2026 Picks)
• How to Spot Crypto Scams: 10 Red Flags in 2026

Related reads:

• Best Embedding Models 2026: OpenAI vs Voyage vs Open-Source
• DePIN GPU vs AWS: Cost Comparison for AI Workloads 2026

🔔 Subscribe to every episode

Read the article: https://www.misar.blog/@synor/articles/build-mcp-server-tutorial.
Read the articles by this Author: https://www.misar.blog/@synor.

Generated using: https://www.misar.ai (Misar.AI).

Complete guide to choosing a GPU for 70B LLM inference in 2026. Compare RTX 5090, RTX 4090, RTX 6000 Ada, A100, H100 on tokens/second, VRAM capacity, and cost… From the article "Best GPU for 70B Model Inference 2026 (VRAM + Speed Tests)" by Synor, published on Misar.Blog.

In this episode:
0:00 For 70B Model Inference in 2026
1:44 The RTX 6000 Ada (48GB) Is the Best Professional Single-GPU Choice
3:31 The RTX 5090 (32GB) Can Fit 70B INT4 Only Barely
5:02 Two RTX 4090s Are the Budget-Friendly Option
7:03 INT8 Is Higher Quality Than INT4 but Needs More VRAM and Is Slower
8:29 FP8 on H100 Is the Quality-Focused Option
10:04 NVLink-Enabled H100 and A100 Clusters Scale Much Better
11:51 A Single GPU’s Maximum Context Window for 70B INT4 Depends Heavily on VRAM
13:58 The VRAM Math Explains Why Smaller Cards Struggle as Context Grows
15:38 A 32GB RTX 5090 Is Not Enough for Long-Context 70B Because

This episode is narrated by an AI voice from a written article.

More episodes:

• Tokenized Money Market Funds vs Stablecoins: On-Chain Cash
• Best PSU for a Used RTX 4090 (2026 Picks)
• How to Spot Crypto Scams: 10 Red Flags in 2026

Related reads:

• Best Embedding Models 2026: OpenAI vs Voyage vs Open-Source
• DePIN GPU vs AWS: Cost Comparison for AI Workloads 2026

🔔 Subscribe to every episode

Read the article: https://www.misar.blog/@synor/articles/best-gpu-for-70b-inference.
Read the articles by this Author: https://www.misar.blog/@synor.

Generated using: https://www.misar.ai (Misar.AI).

Compare LoRA and QLoRA for fine-tuning LLMs on consumer GPUs: technical differences, memory savings table, quality benchmarks, GPU requirements per model size… From the article "LoRA vs QLoRA: Fine-Tuning on Consumer GPUs Explained" by Synor, published on Misar.Blog.

In this episode:
0:00 LoRA and QLoRA Are Parameter-Efficient Fine-Tuning Methods
1:22 For a 7B Model
2:00 For a 70B Model
2:46 LoRA Retains the Base Model in FP16 and Adapters in FP16
4:01 LoRA Typically Achieves Higher Quality and Faster Training
4:30 Quality Loss with QLoRA Is Generally 1-3% Compared to LoRA
5:18 LoRA Is Preferable When There Is Enough VRAM (≤13B Models)
6:16 QLoRA Is the Only Viable Single-GPU Fine-Tuning Option for 70B+ Models

This episode is narrated by an AI voice from a written article.

More episodes:

• Tokenized Money Market Funds vs Stablecoins: On-Chain Cash
• Best PSU for a Used RTX 4090 (2026 Picks)
• How to Spot Crypto Scams: 10 Red Flags in 2026

Related reads:

• Best Embedding Models 2026: OpenAI vs Voyage vs Open-Source
• DePIN GPU vs AWS: Cost Comparison for AI Workloads 2026

🔔 Subscribe to every episode

Read the article: https://www.misar.blog/@synor/articles/lora-vs-qlora-finetuning.
Read the articles by this Author: https://www.misar.blog/@synor.

Generated using: https://www.misar.ai (Misar.AI).

Compare Akash Network, io.net, and Render Network for decentralized GPU compute: pricing per GPU-hour, H100 availability, setup difficulty, reliability, and… From the article "Akash vs Io.net vs Render: Best DePIN GPU for AI Training" by Synor, published on Misar.Blog.

In this episode:
0:00 Akash Network Is the Best Choice for Batch Inference and Fine-Tuning in 2026
0:57 Io.net Offers the Largest GPU Supply (200K+ Devices)
1:29 Render Network Is Best for Creative AI Workloads (Image/Video Generation)
2:20 All Three DePIN Platforms Are 40-70% Cheaper Than Centralized Cloud
3:04 Akash’s Docker-Based Marketplace Provides the Most Robust Isolation
3:23 Io.net’s Cluster Aggregation and Dynamic Pricing Delivers
3:35 Render’s Job-Based Rendering Pipeline

This episode is narrated by an AI voice from a written article.

More episodes:

• Tokenized Money Market Funds vs Stablecoins: On-Chain Cash
• Best PSU for a Used RTX 4090 (2026 Picks)
• How to Spot Crypto Scams: 10 Red Flags in 2026

Related reads:

• Best Embedding Models 2026: OpenAI vs Voyage vs Open-Source
• DePIN GPU vs AWS: Cost Comparison for AI Workloads 2026

🔔 Subscribe to every episode

Read the article: https://www.misar.blog/@synor/articles/akash-vs-ionet-vs-render.
Read the articles by this Author: https://www.misar.blog/@synor.

Generated using: https://www.misar.ai (Misar.AI).

Complete guide to DeFi exploit types: reentrancy attacks, flash loan exploits, oracle manipulation, bridge hacks, governance attacks. How each works with real… From the article "DeFi Exploit Types: How Each Attack Works (2026 Guide)" by Synor, published on Misar.Blog.

In this episode:
0:00 DeFi Exploits Fall into Six Main Categories
0:47 Bridge Hacks and Access Control Exploits Account for the Largest Losses ($500M+)
1:29 Bridge Hacks Caused the Highest Total Loss at $1.2B Across 8 Incidents
2:26 Access Control Exploits Caused $850M Across 15 Incidents
3:10 Flash Loan Attacks Caused $620M Across 120+ Incidents
3:20 Oracle Manipulation Caused $380M Across 35 Incidents
3:57 Reentrancy Attacks Caused $180M Across 22 Incidents
4:37 Governance Attacks Caused $140M Across 5 Incidents

This episode is narrated by an AI voice from a written article.

More episodes:

• Tokenized Money Market Funds vs Stablecoins: On-Chain Cash
• Best PSU for a Used RTX 4090 (2026 Picks)
• How to Spot Crypto Scams: 10 Red Flags in 2026

Related reads:

• Best Embedding Models 2026: OpenAI vs Voyage vs Open-Source
• DePIN GPU vs AWS: Cost Comparison for AI Workloads 2026

🔔 Subscribe to every episode

Read the article: https://www.misar.blog/@synor/articles/defi-exploit-types-guide.
Read the articles by this Author: https://www.misar.blog/@synor.

Generated using: https://www.misar.ai (Misar.AI).

Qdrant vs Milvus vs Weaviate vs pgvector in 2026 — index types, hybrid search, filtering, scaling, licenses, memory costs per 1M and 100M vectors, and a clear… From the article "Best Open-Source Vector Database 2026: Qdrant vs Milvus vs Weaviate vs Pgvector" by Synor, published on Misar.Blog.

In this episode:
0:00 Pgvector Is the Optimal Choice for Teams Already Using Postgres with Fewer
1:14 Qdrant Stands Out as the Top Standalone Pick for High-QPS Filtered Search
2:28 Milvus Dominates True Billion-Scale Use Cases Through GPU Acceleration
4:59 Weaviate Is the Strongest Option
6:58 Agentic Retrieval Pipelines Have Shifted Vector Database Requirements
9:26 Pgvectorscale's StreamingDiskANN Narrows the Performance Gap
9:52 RAM Requirements for Vector Databases Can
11:08 Hybrid Retrieval Combining BM25 and Dense Vectors Is the 2026 Default for RAG
12:10 Filterable Indexes Are Crucial for Maintaining Recall
13:11 Operational Complexity and Ops Capacity Should Dictate

This episode is narrated by an AI voice from a written article.

More episodes:

• Tokenized Money Market Funds vs Stablecoins: On-Chain Cash
• Best PSU for a Used RTX 4090 (2026 Picks)
• How to Spot Crypto Scams: 10 Red Flags in 2026

Related reads:

• Best Embedding Models 2026: OpenAI vs Voyage vs Open-Source
• DePIN GPU vs AWS: Cost Comparison for AI Workloads 2026

🔔 Subscribe to every episode

Read the article: https://www.misar.blog/@synor/articles/best-open-source-vector-database.
Read the articles by this Author: https://www.misar.blog/@synor.

Generated using: https://www.misar.ai (Misar.AI).

How much VRAM do you need for gaming in 2026? Real usage numbers by resolution, when 8GB fails, why 12GB is the 1440p sweet spot, 16GB future-proofing, and GPU… From the article "How Much VRAM Do You Need for Gaming? (8GB vs 12GB vs 16GB)" by Synor, published on Misar.Blog.

In this episode:
0:00 VRAM Requirements in 2026
2:01 Allocation Versus Actual VRAM Usage
4:08 Metrics for Monitoring VRAM Correctly
6:38 VRAM Demand Across Resolutions and Settings
8:53 Additive Impact of Modern Graphics Features on VRAM
9:56 How 8GB Cards Fail in Modern Games
10:43 Why 12GB Is the Sweet Spot for 1440p
12:05 The Benefits of 16GB and Higher VRAM
13:30 Direct Relationship Between VRAM and Performance Cliffs

This episode is narrated by an AI voice from a written article.

More episodes:

• Tokenized Money Market Funds vs Stablecoins: On-Chain Cash
• Best PSU for a Used RTX 4090 (2026 Picks)
• How to Spot Crypto Scams: 10 Red Flags in 2026

Related reads:

• Best Embedding Models 2026: OpenAI vs Voyage vs Open-Source
• DePIN GPU vs AWS: Cost Comparison for AI Workloads 2026

🔔 Subscribe to every episode

Read the article: https://www.misar.blog/@synor/articles/vram-for-gaming-8gb-12gb-16gb.
Read the articles by this Author: https://www.misar.blog/@synor.

Generated using: https://www.misar.ai (Misar.AI).

Complete guide to staking Ethereum safely in 2026: solo vs pooled vs liquid staking, step-by-step setup using Lido and Rocket Pool, hardware requirements… From the article "How to Stake Ethereum Safely in 2026 (Step-By-Step)" by Synor, published on Misar.Blog.

In this episode:
0:00 In 2026 the Safest Way to Stake Ethereum Depends on Your Technical Ability
0:56 The Typical Return on Ethereum Staking Is 3.5-4.5% APY
1:44 Solo Staking Requires a Minimum of 32 ETH
2:17 Rocket Pool Lets Users Run a 8-ETH Minipool
3:02 Lido’s Liquid Staking (stETH) Is the Easiest Option
3:56 MEV-Boost Is a Standard Part of Ethereum Staking in 2026
4:33 The Main Risks to Staking Are Slashing (Extremely Rare for Careful Operators)
5:07 Lido’s Dominance at ~28% of Staked ETH Is a Centralization Concern
5:58 US Tax Treatment of Staking Rewards Treats Them as Ordinary Income

This episode is narrated by an AI voice from a written article.

More episodes:

• Tokenized Money Market Funds vs Stablecoins: On-Chain Cash
• Best PSU for a Used RTX 4090 (2026 Picks)
• How to Spot Crypto Scams: 10 Red Flags in 2026

Related reads:

• Best Embedding Models 2026: OpenAI vs Voyage vs Open-Source
• DePIN GPU vs AWS: Cost Comparison for AI Workloads 2026

🔔 Subscribe to every episode

Read the article: https://www.misar.blog/@synor/articles/stake-ethereum-safely.
Read the articles by this Author: https://www.misar.blog/@synor.

Generated using: https://www.misar.ai (Misar.AI).

Compare EigenLayer, Symbiotic, Karak, and Kelp DAO for liquid restaking in 2026: yield comparison, risk analysis, AVS security, slashing conditions, and… From the article "Best Liquid Restaking Protocol 2026: EigenLayer and Beyond" by Synor, published on Misar.Blog.

In this episode:
0:00 EigenLayer Is the Dominant Liquid Restaking Protocol in 2026
0:36 Liquid Restaking Allows Users to Deposit Staked Ethereum
1:57 Kelp DAO Provides Higher Restaking Yields Through Optimized Yield Looping
2:34 Symbiotic Offers a Permissionless Alternative to EigenLayer
3:32 Points Systems in Liquid Restaking Protocols Are Speculative and Should Not
4:14 When Depositing into EigenLayer
6:35 Withdrawal Times Vary Between Native Restaking and Liquid Restaking Tokens
9:21 Restaking Introduces Slashing Risks Where Users Can Lose a Percentage
10:02 Restaking Rewards Are Additive to Base Staking Yields
11:02 Recap: the Key Points of This Episode

This episode is narrated by an AI voice from a written article.

More episodes:

• Tokenized Money Market Funds vs Stablecoins: On-Chain Cash
• Best PSU for a Used RTX 4090 (2026 Picks)
• How to Spot Crypto Scams: 10 Red Flags in 2026

Related reads:

• Best Embedding Models 2026: OpenAI vs Voyage vs Open-Source
• DePIN GPU vs AWS: Cost Comparison for AI Workloads 2026

🔔 Subscribe to every episode

Read the article: https://www.misar.blog/@synor/articles/best-liquid-restaking-protocol.
Read the articles by this Author: https://www.misar.blog/@synor.

Generated using: https://www.misar.ai (Misar.AI).

Real-world RTX 5090 LLM inference benchmarks: quantization requirements for 70B models, tokens/sec on 32GB, Ollama/vLLM setup, multi-GPU scaling, and when you… From the article "RTX 5090 for LLM Inference: Is 32GB Enough for 70B Models?" by Synor, published on Misar.Blog.

In this episode:
0:00 The RTX 5090’s 32 GB GDDR7 Can Run 70-B Models Effectively Using Q3_K_M
0:59 70-B Models Fit on a Single 32-GB GPU Only with Q3_K_M
1:39 The 5090 Outperforms the 4090 by 35
2:04 A Single 5090 Can Serve 2
2:37 Multi-GPU Scaling with 2

This episode is narrated by an AI voice from a written article.

More episodes:

• Tokenized Money Market Funds vs Stablecoins: On-Chain Cash
• Best PSU for a Used RTX 4090 (2026 Picks)
• How to Spot Crypto Scams: 10 Red Flags in 2026

Related reads:

• Best Embedding Models 2026: OpenAI vs Voyage vs Open-Source
• DePIN GPU vs AWS: Cost Comparison for AI Workloads 2026

🔔 Subscribe to every episode

Read the article: https://www.misar.blog/@synor/articles/rtx-5090-llm-inference-32gb.
Read the articles by this Author: https://www.misar.blog/@synor.

Generated using: https://www.misar.ai (Misar.AI).