Misar.Blog Podcast

Misar.Blog Podcast

By Misar.BlogTechnology
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Misar.Blog Podcast episodes

  • Best Crypto Tax Software 2026: Koinly vs CoinTracker vs CoinLedger

    Koinly vs CoinTracker vs CoinLedger compared for 2026: pricing tiers, exchange integrations, DeFi and NFT support, Form 1099-DA reconciliation, 8949 exports… From the article "Best Crypto Tax Software 2026: Koinly vs CoinTracker vs CoinLedger" by Synor, published on Misar.Blog.

    In this episode:
    0:00 For Most People Filing 2025
    2:05 The 2026 Filing Season Is the First with Form 1099-DA Fully in Force
    3:34 Crypto Tax Software Matters Now Because the IRS Sees Broker-Reported Sales
    5:18 The Core Job of These Tools in 2026 Is to Reconcile Broker 1099-DAs
    6:51 All Three Tools Added Dedicated 1099-DA Import
    8:01 Koinly Leads on Breadth and DeFi Classification
    10:02 Koinly’s Strengths Are Its Best-In-Class DeFi Auto-Classification
    11:50 CoinTracker Is Strongest for Coinbase-Heavy Portfolios Because It
    13:26 CoinTracker’s Strengths Also Include Polished Mobile Apps
    14:33 CoinLedger Is Built for US Filers Who Want the Simplest Path from CSVs

    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-crypto-tax-software-2026.
    Read the articles by this Author: https://www.misar.blog/@synor.

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

    28 min
  • What Is Decentralized AI (DeAI)? Complete 2026 Guide

    Complete guide to Decentralized AI (DeAI): how it differs from centralized AI, key components (DePIN compute, on-chain inference), leading projects (Bittensor… From the article "What Is Decentralized AI (DeAI)? Complete 2026 Guide" by Synor, published on Misar.Blog.

    In this episode:
    0:00 Decentralized AI (DeAI) Distributes AI Compute
    0:52 DeAI Promises Lower Costs
    1:14 In Cost, DeAI Can Be 30-70 % Cheaper for Equivalent Compute
    1:33 Reputable DeAI Projects
    2:10 DeAI Networks Employ Verifiable Inference Techniques

    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/what-is-decentralized-ai.
    Read the articles by this Author: https://www.misar.blog/@synor.

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

    3 min
  • Self-Host LLM vs API: Complete Cost Comparison 2026

    Complete cost comparison of self-hosting LLMs vs using API providers. Cost per million tokens, break-even analysis, hardware costs, latency comparison, privacy… From the article "Self-Host LLM vs API: Complete Cost Comparison 2026" by Synor, published on Misar.Blog.

    In this episode:
    0:00 Self-Hosting LLMS Is Significantly Cheaper Than API Usage
    1:03 Up-Front Hardware Investment for Self-Hosting Ranges from $2
    1:21 For Workloads Under 10 M Tokens/Month
    1:50 Break-Even Is Roughly 7-8 Months of Consistent Usage
    2:24 Beyond 100 M Tokens/Month
    2:49 Self-Hosting Delivers 40-60% Lower Latency Than API Providers
    3:09 Fine-Tuning, Custom Sampling

    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/self-host-llm-vs-api-cost.
    Read the articles by this Author: https://www.misar.blog/@synor.

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

    4 min
  • How Much VRAM Do You Need for 70B LLM Models?

    Complete VRAM requirements for running 70B LLM models: calculation formula, quantization level table (FP16 to INT4), inference vs training, consumer GPUs that… From the article "How Much VRAM Do You Need for 70B LLM Models?" by Synor, published on Misar.Blog.

    In this episode:
    0:00 A 70B Parameter Model Needs a Lot of VRAM Even Before Accounting for Cache
    1:34 Once KV Cache and Overhead Are Included
    2:38 That Makes a 70B Model Impractical on a Single Consumer GPU Without Compromises
    3:19 Training Needs 2-3x More VRAM Than Inference
    4:22 The Article’s Weight Calculation Shows Why 70B Models Are so Memory-Hungry
    6:02 KV Cache Grows with Context Length
    7:42 The Article’s Table Shows That for Single-Request 4K-Context Inference
    9:32 Batch Inference Increases VRAM Sharply Because Each Sequence Adds
    11:26 Training Memory Is Much Higher Than Inference Because Gradients
    13:21 For a 70B Model

    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-requirements-70b-llm.
    Read the articles by this Author: https://www.misar.blog/@synor.

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

    24 min
  • Ledger vs Trezor vs Coldcard: Best Hardware Wallet 2026

    Ledger Flex vs Trezor Safe 5 vs Coldcard Q compared for 2026: secure elements, open-source status, coin support, air-gap operation, prices, the Ledger Recover… From the article "Ledger vs Trezor vs Coldcard: Best Hardware Wallet 2026" by Synor, published on Misar.Blog.

    In this episode:
    0:00 All Three Wallets Keep Keys Offline and Safe from Remote Hackers
    1:18 Trezor Safe 5 Is Presented as the Best All-Rounder for Most People
    2:14 Ledger Flex Is Positioned as the Best Option for Multi-Chain Users Who Want
    3:45 Coldcard Q Is the Bitcoin-Maximalist Choice Because It Is Air-Gapped by Design
    5:14 Ledger’s Flagship Devices Use a Closed-Source OS
    6:40 Trezor’s Safe Line Added an EAL6+ Secure Element
    7:58 Coldcard Is Built Around an Assume-Hostile Model
    9:45 Ledger’s Main Tradeoff Is That Its Secure Element
    11:18 The Ledger Recover Feature Intensified Concern Because It Showed Firmware Can
    12:46 For Bitcoin-Only Users

    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/ledger-vs-trezor-vs-coldcard.
    Read the articles by this Author: https://www.misar.blog/@synor.

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

    23 min
  • LangGraph vs CrewAI vs AutoGen: Framework Decision Guide 2026

    Compare LangGraph, CrewAI, and AutoGen multi-agent frameworks: architecture differences, ease of setup, production readiness, code examples, scalability, and… From the article "LangGraph vs CrewAI vs AutoGen: Framework Decision Guide 2026" by Synor, published on Misar.Blog.

    In this episode:
    0:00 LangGraph Is the Best Choice for Complex
    1:16 CrewAI Is the Easiest Framework to Start
    2:18 AutoGen Is Strongest for Conversational Multi-Agent Systems
    3:18 For Most Production Applications in 2026
    4:30 LangGraph Is Built as a Directed Graph with Explicit State Management
    5:38 LangGraph Supports Human-In-The-Loop and Streaming Natively
    6:57 LangGraph Is Best for Complex Multi-Step
    8:02 LangGraph’s Main Tradeoffs Are a Steeper Learning Curve
    8:56 CrewAI Is Designed Around Role-Based Agents and Task Sequencing
    9:51 CrewAI’s Limitations Are Less Control

    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/langgraph-vs-crewai-vs-autogen.
    Read the articles by this Author: https://www.misar.blog/@synor.

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

    22 min
  • Crypto Wash Sale Rule 2026: What Changed and How to Comply

    The crypto wash sale rule is live in 2026. Learn the 30-day window, substantially identical rules for BTC vs WBTC and ETH vs stETH, Form 1099-DA reporting, and… From the article "Crypto Wash Sale Rule 2026: What Changed and How to Comply" by Synor, published on Misar.Blog.

    In this episode:
    0:00 Starting with Tax Year 2026
    2:54 Before 2026, Crypto Losses Harvested
    5:28 The New Rule Applies Across Venues and Accounts
    7:42 The Wash-Sale Window Is Symmetric and Inclusive
    10:06 When a Wash Sale Triggers
    10:47 The Article’s Examples Show the Basic Outcomes
    12:48 What Counts as Substantially Identical Is Still Unsettled
    14:53 Several Compliance Strategies Still Work in 2026
    16:52 Broker Reporting Is Incomplete
    18:47 The Article’s Bottom Line Is That 2026 Crypto Wash Sale Compliance Depends

    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/crypto-wash-sale-rule-2026.
    Read the articles by this Author: https://www.misar.blog/@synor.

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

    24 min
  • DeepSeek V4 vs Qwen 3.5 vs Llama 4: Best Open-Source LLM

    Compare DeepSeek V4, Qwen 3.5, and Llama 4 head-to-head: benchmark scores (MMLU, GSM8K, HumanEval, SWE-Bench), context windows, API vs self-host pricing… From the article "DeepSeek V4 vs Qwen 3.5 vs Llama 4: Best Open-Source LLM" by Synor, published on Misar.Blog.

    In this episode:
    0:00 The Article’s Quick Answer Says DeepSeek V4 Leads on Coding
    1:17 For Most Developers
    1:58 Among the Largest Model Variants
    3:35 In the Smaller-Model Class
    5:10 Qwen 3.5 Has the Largest Standard Context Window
    6:59 Llama 4 Is Positioned as the Strongest Overall Ecosystem Choice
    9:05 DeepSeek V4 Has the Most Permissive License
    10:41 For Commercial Use
    12:30 DeepSeek V4 Is the Best Choice for Coding and Reasoning Use Cases
    14:07 Qwen 3.5 Is Best for Multilingual and Long-Document Work

    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/deepseek-v4-vs-qwen-vs-llama4.
    Read the articles by this Author: https://www.misar.blog/@synor.

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

    22 min
  • Form 1099-DA Crypto Reporting: What You Must Know 2026

    Everything about Form 1099-DA for crypto in 2026: who must file, what transactions are reported, broker rule, penalties for non-compliance, how it differs from… From the article "Form 1099-DA Crypto Reporting: What You Must Know 2026" by Synor, published on Misar.Blog.

    In this episode:
    0:00 Form 1099-DA Is a New IRS Information Return That Will Be Mandatory
    0:30 Brokers—defined as Centralized Exchanges
    1:21 Part 3
    2:02 The 1099-DA Requires Brokers to Report
    2:55 Part 5
    3:34 All Crypto-To-Fiat Sales
    4:07 Part 7
    4:34 DeFi Front-Ends Such as Uniswap and dYdX Are Currently Exempt from Filing
    5:04 Part 9
    5:17 The IRS Default Cost-Basis Method for Crypto Is FIFO

    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/form-1099-da-crypto-reporting.
    Read the articles by this Author: https://www.misar.blog/@synor.

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

    8 min
  • QLoRA 4-Bit Fine-Tuning Tutorial: Single GPU, 7B to 70B

    Step-by-step QLoRA 4-bit fine-tuning tutorial for 7B to 70B models on a single consumer GPU. Python code examples using transformers, bitsandbytes, PEFT… From the article "QLoRA 4-Bit Fine-Tuning Tutorial: Single GPU, 7B to 70B" by Synor, published on Misar.Blog.

    In this episode:
    0:00 QLoRA Lets You Fine-Tune Models up to 70B Parameters on a Single Consumer GPU
    1:32 QLoRA Is a Combination of Quantization and LoRA
    2:44 Compared with Full Fine-Tuning
    4:08 Different Model Sizes Require Different Minimum and Recommended VRAM
    5:22 Most of QLoRA’s Memory Goes to Model Weights
    6:24 The Tutorial Recommends Installing PyTorch
    7:28 QLoRA Works Best with Structured Instruction-Tuning Data Formatted
    8:28 Loading the Model in 4-Bit Uses BitsAndBytesConfig with NF4
    9:29 Before Training Adapters
    10:29 A Rank of 16 Is Presented as the Default Choice for Most Tasks

    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/qlora-4bit-finetuning-tutorial.
    Read the articles by this Author: https://www.misar.blog/@synor.

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

    24 min

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Misar.Blog Podcast: a technology podcast from Misar.Blog.