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Yuval Avidani•2026-01-14Read →

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arxiv

98.7% Accuracy on Length Generalization: What RewriteNets Reveals About Transformers

2026-01-14

github

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TIME: Making Reasoning Models 10x Cheaper by Thinking Only When Needed

arxiv

2026-01-12•6 min read

TIME: Making Reasoning Models 10x Cheaper by Thinking Only When Needed

## Reasoning Models Are Burning Our Budget on Trivial Questions The paper [TIME: Temporally Intelligent Meta-reasoning Engine for Context Triggered Explicit Rea...

Yuval Avidani

Breaking the Memory Wall: How MoEBlaze Achieves 4x Faster MoE Training

arxiv

2026-01-12•7 min read

Breaking the Memory Wall: How MoEBlaze Achieves 4x Faster MoE Training

## The Memory Wall That's Blocking Our MoE Ambitions The paper [MoEBlaze: Shattering the Memory Wall in Large-Scale MoE Training](https://arxiv.org/abs/2601.052...

Yuval Avidani

Why Continuous Fuzzing Isn't Enough: The Bugs That Survive

github

2026-01-11•7 min read

Why Continuous Fuzzing Isn't Enough: The Bugs That Survive

## The Fuzzer Ran for 18 Months. The Bug Was Still There. A recent [GitHub Blog post by Antonio Morales](https://github.blog/security/vulnerability-research/bug...

Yuval Avidani

Why AI Is Pushing Us All Toward TypeScript (And Why That's Good)

github

2026-01-11•6 min read

Why AI Is Pushing Us All Toward TypeScript (And Why That's Good)

## The 94% Statistic That's Changing How We Code A recent [GitHub Blog post by Cassidy Williams](https://github.blog/ai-and-ml/llms/why-ai-is-pushing-developers...

Yuval Avidani

UI-TARS-desktop: The AI Agent That Actually Sees and Controls Our Computers

github

2026-01-11•7 min read

UI-TARS-desktop: The AI Agent That Actually Sees and Controls Our Computers

## Finally, An AI Agent That Can Actually Use Our Computer The project [UI-TARS-desktop](https://github.com/bytedance/UI-TARS-desktop) from ByteDance solves the...

Yuval Avidani

OpenCode: The Open Source AI Coding Agent We Can Actually Own

github

2026-01-11•6 min read

OpenCode: The Open Source AI Coding Agent We Can Actually Own

## Finally, an AI Coding Agent We Actually Control The project [OpenCode](https://github.com/anomalyco/opencode) solves a problem we've all been wrestling with ...

Yuval Avidani

Why AI is Settling the Typed vs. Untyped Debate For Us

github

2026-01-10•6 min read

Why AI is Settling the Typed vs. Untyped Debate For Us

## The 94% Stat That Changes Everything A recent [GitHub Blog post by Cassidy Williams](https://github.blog/ai-and-ml/llms/why-ai-is-pushing-developers-toward-t...

Yuval Avidani

OpenCode: The Open Source AI Coding Agent That Frees Us From Vendor Lock-In

github

2026-01-10•6 min read

OpenCode: The Open Source AI Coding Agent That Frees Us From Vendor Lock-In

## An AI Coding Agent We Can Actually Own The project [OpenCode](https://github.com/anomalyco/opencode) solves a problem that's been frustrating us terminal use...

Yuval Avidani

Why 94% of AI Code Errors Are Pushing Us All Toward TypeScript

github

2026-01-09•6 min read

Why 94% of AI Code Errors Are Pushing Us All Toward TypeScript

## AI Just Settled the Typed vs. Untyped Debate - And the Data Is Stunning A recent [GitHub Blog post by Cassidy Williams](https://github.blog/ai-and-ml/llms/wh...

Yuval Avidani

Claude Code: The Agentic Terminal Assistant That Actually Understands Your Codebase

github

2026-01-09•7 min read

Claude Code: The Agentic Terminal Assistant That Actually Understands Your Codebase

## An Agentic Coding Assistant That Lives in Your Terminal The project [claude-code](https://github.com/anthropics/claude-code) solves the problem of context-sw...

Yuval Avidani

WebGym: How 300K Tasks Finally Trained AI Agents to Use Real Websites

arxiv

2026-01-08•6 min read

WebGym: How 300K Tasks Finally Trained AI Agents to Use Real Websites

## Finally, a Training Gym That Matches the Chaos of Real Websites The paper [WebGym](https://arxiv.org/abs/2601.02439) tackles the massive gap between what AI ...

Yuval Avidani

R²VPO: How Soft Constraints Fix the Eureka Moment Problem in LLM Training

arxiv

2026-01-08•7 min read

R²VPO: How Soft Constraints Fix the Eureka Moment Problem in LLM Training

## Teaching AI to Learn Without Killing Brilliant Ideas The paper [Ratio-Variance Regularized Policy Optimization (R²VPO)](https://arxiv.org/abs/2601.03320) tac...

Yuval Avidani

Memvid: The Single-File Memory Layer That Changes AI Agent Development

github

2026-01-08•7 min read

Memvid: The Single-File Memory Layer That Changes AI Agent Development

## AI Agents Finally Get Portable Memory Without Infrastructure Bloat The project [Memvid](https://github.com/memvid/memvid) solves the problem of giving AI age...

Yuval Avidani

Memvid: The Portable Memory Layer That Eliminates Vector Database Hell

github

2026-01-08•7 min read

Memvid: The Portable Memory Layer That Eliminates Vector Database Hell

## Finally, AI Agent Memory Without the Database Nightmare The project [memvid/memvid](https://github.com/memvid/memvid) solves the problem of giving AI agents ...

Yuval Avidani

Memvid: AI Agent Memory in a Single Portable File

github

2026-01-08•6 min read

Memvid: AI Agent Memory in a Single Portable File

## AI Agents Finally Get a Memory That Doesn't Require a PhD The project [Memvid](https://github.com/memvid/memvid) solves the fundamental problem of giving AI ...

Yuval Avidani

Memvid: AI Agent Memory in a Single File - No Servers Required

github

2026-01-08•7 min read

Memvid: AI Agent Memory in a Single File - No Servers Required

## AI Memory Without the Infrastructure Nightmare The project [Memvid](https://github.com/memvid/memvid) solves the problem of giving AI agents persistent memor...

Yuval Avidani

BitNet: How Microsoft Made 100B LLMs Run on Your Laptop CPU

github

2026-01-08•7 min read

BitNet: How Microsoft Made 100B LLMs Run on Your Laptop CPU

## The Project That Makes GPU-Free AI Inference Actually Work The project [microsoft/BitNet](https://github.com/microsoft/BitNet) solves the problem of running ...

Yuval Avidani

WebGym: Why AI Agents Fail at Web Tasks (And How This Changes It)

arxiv

2026-01-07•6 min read

WebGym: Why AI Agents Fail at Web Tasks (And How This Changes It)

## Finally, A Proper Training Ground for Web Agents The paper [WebGym](https://arxiv.org/abs/2601.02439) tackles the most frustrating gap in AI agents right now...

Yuval Avidani

BitNet: How Microsoft Made 100B Models Run on Your Laptop CPU

github

2026-01-07•7 min read

BitNet: How Microsoft Made 100B Models Run on Your Laptop CPU

## Running Massive AI Models Locally Just Became Possible The project [microsoft/BitNet](https://github.com/microsoft/BitNet) solves the problem of running larg...

Yuval Avidani

OpenCode - The Open Source AI Coding Agent That Works With Any Model

github

2026-01-06•7 min read

OpenCode - The Open Source AI Coding Agent That Works With Any Model

## The Open Source Answer to AI Coding Agents The project OpenCode ([https://github.com/anomalyco/opencode](https://github.com/anomalyco/opencode)) solves the p...

Yuval Avidani

When AI Content Pipelines Meet Missing Data: A Real-Time Debugging Story

arxiv

2026-01-05•5 min read

When AI Content Pipelines Meet Missing Data: A Real-Time Debugging Story

## When the Pipeline Breaks Before It Starts I was prepared to analyze the latest arXiv research paper today - ready to break down complex AI concepts, explain ...

Yuval Avidani

ai-agents

2026-01-05•6 min read

When AI Agents Fail: A Real Pipeline Break and What It Teaches Us

## The AI Agent That Forgot Its Job I set up an AI agent with one simple task: scan trending GitHub repositories, analyze them for impact in AI and coding, and ...

Yuval Avidani

The Hidden Trojan in Your AI Vocabulary - Why Model Merging Isn't Safe

arxiv

2026-01-05•6 min read

The Hidden Trojan in Your AI Vocabulary - Why Model Merging Isn't Safe

## The Security Hole Nobody Saw Coming The paper [The Trojan in the Vocabulary: Stealthy Sabotage of LLM Composition](https://arxiv.org/abs/2601.00065) just exp...

Yuval Avidani

The Hidden Trojan: How Model Merging Became a Security Nightmare

arxiv

2026-01-05•8 min read

The Hidden Trojan: How Model Merging Became a Security Nightmare

## The Supply Chain Attack Nobody Saw Coming The paper [The Trojan in the Vocabulary: Stealthy Sabotage of LLM Composition](https://arxiv.org/abs/2601.00065) ex...

Yuval Avidani

AI Hedge Fund - When Multiple AI Agents Become Your Trading Council

github

2026-01-05•7 min read

AI Hedge Fund - When Multiple AI Agents Become Your Trading Council

## What Happens When You Let AI Versions of Warren Buffett and Cathie Wood Fight Over the Same Stock? The project [AI Hedge Fund](https://github.com/virattt/ai-...

Yuval Avidani

AI Hedge Fund: When Multiple AI Agents Become Your Investment Committee

github

2026-01-05•6 min read

AI Hedge Fund: When Multiple AI Agents Become Your Investment Committee

## What Happens When AI Agents Become Investment Analysts The [AI Hedge Fund](https://github.com/virattt/ai-hedge-fund) repo solves the problem of synthesizing ...

Yuval Avidani

AI Hedge Fund - Building Investment Teams from AI Agents

github

2026-01-05•8 min read

AI Hedge Fund - Building Investment Teams from AI Agents

## When AI Agents Become Wall Street Analysts The project [ai-hedge-fund](https://github.com/virattt/ai-hedge-fund) solves the problem of single-perspective bia...

Yuval Avidani

2026-01-05•10 min read

Claude 4 Opus vs GPT-5: The Ultimate Developer Benchmark

We tested Claude 4 Opus and GPT-5 across 15 real-world coding tasks. The results might surprise you - and reveal which model to use for different development scenarios.

Yuval Avidani

2026-01-04•1 min read

some random test

this is cool random test...

Yuval Avidani

Pathway - The Python Framework That Keeps Your AI From Working With Stale Data

github

2026-01-04•7 min read

Pathway - The Python Framework That Keeps Your AI From Working With Stale Data

Pathway is a high-performance Python ETL framework for stream processing and real-time AI pipelines. It solves the problem of feeding live data into LLM systems without painful batch re-indexing - using incremental updates instead of full rebuilds.

Yuval Avidani

2026-01-04•10 min read

15 Cursor AI Tricks That 10x Your Coding Speed

Stop using Cursor like a chatbot. These power-user techniques will transform how you code - from codebase-wide refactoring to AI-powered debugging that actually works.

Yuval Avidani

2026-01-03•11 min read

Model Context Protocol (MCP): The New Standard for AI Tools

Anthropic's MCP is becoming the USB-C of AI integrations. Here's how to build your first MCP server, why it matters for the agentic future, and how to integrate it into your existing systems.

Yuval Avidani

2026-01-02•10 min read

RAG is Dead. Long Live Agentic RAG.

Traditional RAG pipelines are hitting a wall. The next evolution combines retrieval with autonomous agents that reason about what to retrieve and when. Here's how to build systems that actually work.

Yuval Avidani

2026-01-02•10 min read

The Rise of AI Agents: From Chatbots to Autonomous Workers

Why 2026 is the year of the autonomous agent. We move beyond simple RAG to agents that can plan, execute, and correct themselves - fundamentally changing how we build AI-powered applications.

Yuval Avidani

Code

2026-01-01•10 min read

Vibe Coding: The New Way to Build

It's not just about logic anymore. It's about the flow. How LLMs allow us to code at the speed of thought - and the skills you need to thrive in this new paradigm.

Yuval Avidani

2026-01-01•10 min read

OpenAI Codex CLI: AI-Powered Terminal is Here

OpenAI just open-sourced their terminal AI. It's changing how I interact with the command line forever - natural language is becoming the universal interface for system administration.

Yuval Avidani

Next.js

2025-12-28•11 min read

Mastering Next.js 15

A deep dive into the stability of Next.js 15 and why Turbopack changes the game for large monorepos.

Yuval Avidani

2025-12-28•11 min read

Structured Outputs: The End of JSON Parsing Nightmares

Stop wrestling with regex and pray-parsing. Modern LLMs guarantee valid JSON output. Here's how structured outputs work, why they matter, and how to use them effectively in production.

Yuval Avidani

Apple

2025-12-25•11 min read

Apple Vision Pro: A Developer's Perspective

Is spatial computing dead? Far from it. Here is what I have built and learned over the last 6 months.

Yuval Avidani

2025-12-25•2 min read

How I Replaced 80% of Code Reviews with AI

Controversial take: AI code review is better than most human reviews. Here's my automated pipeline.

Yuval Avidani

2025-12-22•2 min read

Fine-Tuning in 2026: When and How to Customize LLMs

RAG isn't always the answer. Sometimes you need a model that just knows your domain. Here's the modern guide.

Yuval Avidani

2025-12-20•9 min read

Self-Hosting LLMs with Ollama

Stop paying OpenAI. Run Llama 3 on your MacBook Pro and keep your data private.

Yuval Avidani

2025-12-18•3 min read

Testing AI Applications: A Practical Framework

Your AI app works in demos but fails in production. Here's how to test non-deterministic systems.

Yuval Avidani

Design

2025-12-18•10 min read

Design Systems for AI

How do you design a UI for a non-deterministic system? Trust indicators, graceful failure states, and human-in-the-loop patterns are key to building AI interfaces users actually trust.

Yuval Avidani

2025-12-15•3 min read

Prompt Caching Cut Our AI Costs by 70%

We were spending $50K/month on AI. One architectural change dropped it to $15K. Here's exactly how.

Yuval Avidani

GenAI

2025-12-15•11 min read

Midjourney v7: Photorealism Achieved

The lines between reality and generation have blurred completely. Midjourney v7 delivers unprecedented photorealism, character consistency, and creative control - fundamentally changing how we think about AI-generated imagery.

Yuval Avidani

Philosophy

2025-12-10•9 min read

The Ethics of Autonomous Code

If an AI agent breaks production, who is responsible? The developer, the prompter, or the model provider?

Yuval Avidani

Predictions

2025-12-05•12 min read

My 2026 Tech Stack Predictions

What will we be using next year? My bet is on Rust, Wasm, and more Agentic Workflows. Here's a comprehensive look at where developer tooling and the tech landscape are headed.

Yuval Avidani