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Head-to-head benchmark comparison of TensorRT-LLM (NVIDIA) vs vLLM for LLM inference in 2026. Measure throughput, latency, batch scaling, VRAM efficiency, and… From the article "TensorRT-LLM vs vLLM: Throughput Benchmarks 2026" by Synor, published on Misar.Blog.
In this episode:
0:00 vLLM Offers Easier Deployment Than TensorRT-LLM
0:16 vLLM Supports a Larger Model Ecosystem Than TensorRT-LLM
1:05 TensorRT-LLM Attains Higher Peak Throughput on NVIDIA GPUs
1:30 TensorRT-LLM Has Lower Latency Under Load Than vLLM
2:06 TensorRT-LLM Uses Less VRAM for the Same Batch Sizes
2:31 TensorRT-LLM Offers a 15-30% Throughput Advantage That Translates
3:05 vLLM’s Instant Model Loading Makes It Preferable for Development
3:47 TensorRT-LLM’s Engine Build Time Is a One-Time Cost That Amortizes
This episode is narrated by an AI voice from a written article.
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Read the article: https://www.misar.blog/@synor/articles/tensorrt-llm-vs-vllm-throughput-benchmarks.
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Complete guide to the best GPU for 1440p 144Hz gaming in 2026. Compare RTX 5090, 5080, 5070 Ti, 5070 vs RX 9070 XT, 9070 across 20 games at high/ultra… From the article "Best GPU for 1440p 144Hz Gaming (NVIDIA vs AMD 2026)" by Synor, published on Misar.Blog.
In this episode:
0:00 For 1440p 144Hz Gaming in 2026
0:41 The RX 9070 XT Is the Best Value Card for 1440p 144Hz Gaming
1:25 The RTX 5080 Is the Best Card for Maximum Settings and Ray Tracing
1:41 To Sustain 144 Fps in All Titles at Ultra
2:04 NVIDIA Dominates Ray Tracing at 1440p 144Hz
2:47 12 GB VRAM Is the Minimum for 1440p 144Hz
3:27 Pairing Each GPU with a Suitable CPU Is Necessary to Avoid Bottlenecks
This episode is narrated by an AI voice from a written article.
Mentioned in this episode:
ASUS TUF Gaming GeForce RTX 5090 32GB on Amazon
As an Amazon Associate, Misar.Blog earns from qualifying purchases.
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How EigenLayer restaking is taxed in 2026: AVS rewards as ordinary income, EIGEN airdrops, slashing losses, cost basis across stETH and restaking layers… From the article "EigenLayer Restaking Rewards: Complete Tax Guide 2026" by Synor, published on Misar.Blog.
In this episode:
0:00 EigenLayer Restaking Turns Staked ETH into Collateral for Additional Services
2:36 For Tax Purposes
3:20 AVS Rewards Are Ordinary Income When the Taxpayer Gains Dominion and Control
5:18 The Amount of Income Recognized Is the Fair Market Value at Claim
6:50 Each Reward Claim Creates a Separate Tax Lot with Basis Equal to FMV at Claim
8:30 stETH Rebases Inside EigenLayer Are Also Treated as Ordinary Income
9:39 Slashing Is Unresolved
12:19 The Article Warns Not to Offset Slashing Silently Against Income
13:49 EigenLayer Activity Is Not Expected to Appear on Form 1099-DA
15:21 If Claimed Rewards Are Later Sold on an Exchange
This episode is narrated by an AI voice from a written article.
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Expert analysis of MEV extraction strategies in 2026: sandwich attacks, DEX arbitrage, liquidation bots, JIT liquidity, backrunning. Complete with on-chain… From the article "MEV Extraction Strategies: Sandwich, Arbitrage, Liquidations" by Synor, published on Misar.Blog.
In this episode:
0:00 MEV Extraction in 2026 Is Dominated by Three Core Strategies
1:55 DEX Arbitrage Is the Biggest MEV Strategy Because It Profits
3:30 Liquidations Are a Major MEV Source
5:17 Sandwich Attacks Extract Value by Front-Running and Back-Running User Trades
6:56 PBS Reduced MEV but Did Not Eliminate It
8:21 DEX Arbitrage Works by Buying on a Cheaper Pool and Selling
10:17 Modern Arbitrage Is Multi-Pool and Multi-Hop
11:42 Liquidation Competition Is Intense
13:04 Sandwich Attacks Are Profitable but Controversial Because They Harm Users
14:45 JIT Liquidity Is a Less Harmful MEV Strategy Than Sandwiching
This episode is narrated by an AI voice from a written article.
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Read the article: https://www.misar.blog/@synor/articles/mev-extraction-strategies.
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Expert-level comparison of distributed training strategies for large language models: PyTorch FSDP, DeepSpeed ZeRO-1/2/3, Tensor Parallelism (Megatron-LM)… From the article "Distributed Training: FSDP vs DeepSpeed vs Tensor Parallelism" by Synor, published on Misar.Blog.
In this episode:
0:00 For Models >10B Parameters
1:06 FSDP Reduces Per-GPU Memory by ~75%
2:01 All-Reduce Communication Latency Is ~12× Slower Between Nodes (50 GB/S)
2:23 DeepSpeed ZeRO-3 Hits ~48
3:14 Hybrid 3D Parallelism
This episode is narrated by an AI voice from a written article.
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Read the article: https://www.misar.blog/@synor/articles/distributed-training-fsdp-vs-deepspeed-vs-tensor-parallelism.
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You don't lack discipline. You inherited a goal-setting method with a design flaw, and it's been quietly sabotaging you for years. From the article "Why Your Goals Keep Failing (It's Not Willpower)" by Misar.IO, published on Misar.Blog.
In this episode:
0:00 Introduction
0:12 The Article Argues That Goals Fail Not Because of Weak Willpower
1:16 The Core Mistake Is Setting Outcome Goals Instead of Systems
2:42 Outcome Goals Do Not Tell You What to Do in the Present
4:03 A System Is Better Because It Gives a Present-Day Action You Can Actually Do
5:39 A Concrete System Can Be Repeated Every Day Regardless of Whether
7:22 Willpower Is Limited and Fades Through the Day
8:34 The Fix Is to Make the Action Small
9:42 A Small, Repeatable System Can Outperform an Ambitious Goal Sustained
11:06 To Redesign a Failing Goal
This episode is narrated by an AI voice from a written article.
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I was a serial starter and a chronic abandoner. Here's the unglamorous system that finally taught me to finish what I start, project after project. From the article "How I Learned to Finish What I Start" by Assisters, published on Misar.Blog.
In this episode:
0:00 The Writer Says the Real Problem Was Not Starting
2:20 Starting Felt Easy Because It Was Pure Possibility and Reward
4:11 The Writer Came to See Their Pattern as a Dopamine-Driven Addiction
6:37 Every Project Has a Predictable
8:54 Making Projects Smaller Helped Because It Made the Finish Line Reachable
10:29 Limiting the Number of Active Projects Protected Work from Being Abandoned
12:47 Treating Completion as a Visible
13:59 Recap: the Key Points of This Episode
This episode is narrated by an AI voice from a written article.
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Read the article: https://www.misar.blog/@assisters/articles/how-i-learned-to-finish-what-i-start.
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Scheduling, drafting, and repurposing on autopilot for a month. The growth surprised me. The thing I lost surprised me more. From the article "I Automated My Social Media for 30 Days. Here's What Happened" by Assisters, published on Misar.Blog.
In this episode:
0:00 The Author Ran a 30-Day Experiment to Automate as Much of Their Social Media
1:30 The Experiment Roughly Doubled the Author’s Consistency and Reach
2:24 Automation Only Works Well When It Is Fed Strong Inputs
3:17 The Basic Setup Was Simple
4:21 The First Week Failed Because the Author Gave the System a Vague Idea
4:51 Changing the Weekly Input Rule to Require a Real Opinion or Story Fixed Most
5:46 Once the Inputs Improved
6:47 Daily Consistency Mattered More Than Being Clever
7:48 Their Time Spent on Social Media Dropped to Under an Hour a Week
8:47 The Leverage Came from Shifting Work from Doing to Deciding
This episode is narrated by an AI voice from a written article.
Mentioned in this episode:
MisarPost
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I bought the dream of money while you sleep and chased it for years. Here's what passive income actually costs — and what I do now instead. From the article "Why I Stopped Chasing Passive Income" by Misar.IO, published on Misar.Blog.
In this episode:
0:00 Introduction
0:12 The Author Stopped Chasing Passive Income Because the Way It Is Sold Is Mostly
1:42 Most So-Called Passive Income Requires Major Active Work
3:22 Examples Given Show That Supposedly Passive Streams Depend
4:35 The Word 'Passive' Mainly Hides the Small End Result While Obscuring
5:32 Chasing Passive Income Cost the Author Money
7:09 The Author Replaced Passivity with Leverage
8:42 Their Leveraged Approach Is Built on Selling a Skill
9:46 This Leveraged Approach Worked Better Financially Because One Focused Month
11:05 The Passive-Income Dream Is Harmful Because It Devalues Real Work
This episode is narrated by an AI voice from a written article.
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How tokenized real estate is taxed in 2026: rental distribution income, capital gains on token sales, K-1 vs 1099 structures, why 1031 exchanges usually don't… From the article "Tokenized Real Estate Taxes: Capital Gains on Fractional Ownership" by Synor, published on Misar.Blog.
In this episode:
0:00 Tokenized Real Estate Is Taxed Based on the Legal Entity
0:41 Rental Distributions from Tokenized LLC-Membership Interests
1:16 Selling a Token That Represents
1:56 1031 Exchanges Are Generally Unavailable for Tokenized Real Estate Because
2:32 Foreign Investors in Tokenized U.S
3:26 Custodial Digital-Asset Brokers Must Report Token Sales via Form 1099-DA
4:00 Weekly USDC Rent Payments Create More Than 50 Taxable Events per Token Holding
4:16 A Worked Example Shows That a $2
This episode is narrated by an AI voice from a written article.
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Read the article: https://www.misar.blog/@synor/articles/tokenized-real-estate-taxes.
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