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Prabhakar Chaudhary

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Explorative Modeling: Why the Training Loop May Matter More Than the Generator

Explorative Modeling: Why the Training Loop May Matter More Than the Generator

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5 min read
Decoupling Physical Control and Reasoning: DeepMind's Gemini Robotics 2 Architecture

Decoupling Physical Control and Reasoning: DeepMind's Gemini Robotics 2 Architecture

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5 min read
Why LLMs Still Struggle With Tabular Prediction

Why LLMs Still Struggle With Tabular Prediction

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4 min read
Claude Opus 5: What the ARC-AGI-3 Leap Actually Tells Us About Reasoning Progress

Claude Opus 5: What the ARC-AGI-3 Leap Actually Tells Us About Reasoning Progress

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5 min read
Grok 4.5: What Happens When You Train a 1.5T MoE Model on Real Developer Workflows

Grok 4.5: What Happens When You Train a 1.5T MoE Model on Real Developer Workflows

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5 min read
Kimi K3 Architecture: Scaling 2.8T Parameters for Long-Context Multimodal MoE

Kimi K3 Architecture: Scaling 2.8T Parameters for Long-Context Multimodal MoE

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8 min read
Benchmarking Agent Reliability in Complex Document Operations: Inside DocOps

Benchmarking Agent Reliability in Complex Document Operations: Inside DocOps

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5 min read
HiLS Attention: How Tencent Built a Sparse Attention Mechanism That Extrapolates to 4 Million Tokens

HiLS Attention: How Tencent Built a Sparse Attention Mechanism That Extrapolates to 4 Million Tokens

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5 min read
Transformers v5: What Actually Changed in Hugging Face's Biggest Library Overhaul in Five Years

Transformers v5: What Actually Changed in Hugging Face's Biggest Library Overhaul in Five Years

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5 min read
PyTorch 2.13 Brings FlexAttention to Apple Silicon — and It's Faster Than You'd Expect

PyTorch 2.13 Brings FlexAttention to Apple Silicon — and It's Faster Than You'd Expect

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5 min read
When the Model Finds a Way Out: What OpenAI's Sandbox Escape Reveals About Agentic Safety

When the Model Finds a Way Out: What OpenAI's Sandbox Escape Reveals About Agentic Safety

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5 min read
Mage-Flow: How Microsoft Built a 4B-Parameter Image Model That Competes with 32B Models

Mage-Flow: How Microsoft Built a 4B-Parameter Image Model That Competes with 32B Models

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4 min read
From World Models to World Action Models: A Practical Taxonomy for Robot Learning

From World Models to World Action Models: A Practical Taxonomy for Robot Learning

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5 min read
LongCat-2.0: How Meituan Trained a 1.6T-Parameter Coding Model Without a Single Nvidia GPU

LongCat-2.0: How Meituan Trained a 1.6T-Parameter Coding Model Without a Single Nvidia GPU

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5 min read
TriAttention: How a Geometric Trick Cuts LLM Memory Use by 10x Without Losing Accuracy

TriAttention: How a Geometric Trick Cuts LLM Memory Use by 10x Without Losing Accuracy

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4 min read
Inkling: How Thinking Machines Lab Built a 975B Open-Weight Model Around Controllable Thinking

Inkling: How Thinking Machines Lab Built a 975B Open-Weight Model Around Controllable Thinking

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5 min read
Grok Build is open source, and that matters for AI coding tools

Grok Build is open source, and that matters for AI coding tools

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4 min read
MiMo-V2-Flash: How Xiaomi Built a 309B MoE Model That Tops SWE-Bench Without Burning Through Compute

MiMo-V2-Flash: How Xiaomi Built a 309B MoE Model That Tops SWE-Bench Without Burning Through Compute

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5 min read
Tencent Hy3: How a 295B Sparse MoE Model Runs on 21B Active Parameters

Tencent Hy3: How a 295B Sparse MoE Model Runs on 21B Active Parameters

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5 min read
NVIDIA Isaac GR00T N1.7: How Human Video Data Is Teaching Robots to Use Their Hands

NVIDIA Isaac GR00T N1.7: How Human Video Data Is Teaching Robots to Use Their Hands

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5 min read
GDPO: How Decoupled Reward Normalization Fixes Multi-Objective RL for LLMs

GDPO: How Decoupled Reward Normalization Fixes Multi-Objective RL for LLMs

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5 min read
ReContext: How Recursive Evidence Replay Helps LLMs Actually Use Long Contexts

ReContext: How Recursive Evidence Replay Helps LLMs Actually Use Long Contexts

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5 min read
Reversal Q-Learning: Teaching Offline RL to Work with Flow-Matching Policies

Reversal Q-Learning: Teaching Offline RL to Work with Flow-Matching Policies

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5 min read
Análisis de Claude Sonnet 5: El nuevo modelo 'agéntico' de Anthropic, su precio y posición en el mercado

Análisis de Claude Sonnet 5: El nuevo modelo 'agéntico' de Anthropic, su precio y posición en el mercado

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6 min read
How DFlash Uses Block Diffusion to Break the Speculative Decoding Bottleneck

How DFlash Uses Block Diffusion to Break the Speculative Decoding Bottleneck

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5 min read
Kimi K2.7 Code: How Moonshot AI Built an Open-Weight Coding Model That Reasons More Efficiently

Kimi K2.7 Code: How Moonshot AI Built an Open-Weight Coding Model That Reasons More Efficiently

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5 min read
Gemini 3.5 Flash Now Has Native Computer Use — Here's What That Actually Changes

Gemini 3.5 Flash Now Has Native Computer Use — Here's What That Actually Changes

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5 min read
What the Age of LLM Benchmark Says About Evaluating Agentic AI

What the Age of LLM Benchmark Says About Evaluating Agentic AI

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5 min read
Orion-100B: How Macrocosmos Trained a 100B-Parameter Model Over the Open Internet

Orion-100B: How Macrocosmos Trained a 100B-Parameter Model Over the Open Internet

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5 min read
Why Real-Time AI Assistants Are Hard — and What Wan-Streamer v0.1 Changes

Why Real-Time AI Assistants Are Hard — and What Wan-Streamer v0.1 Changes

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5 min read
OpenAI's Jalapeño Chip: Why a Custom Inference ASIC Changes the Economics of Running LLMs

OpenAI's Jalapeño Chip: Why a Custom Inference ASIC Changes the Economics of Running LLMs

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5 min read
How DeepSeek-V4 Achieves Million-Token Contexts Without Quadratic Attention Costs

How DeepSeek-V4 Achieves Million-Token Contexts Without Quadratic Attention Costs

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5 min read
How AtomMem Teaches LLM Agents to Manage Their Own Memory Using Reinforcement Learning

How AtomMem Teaches LLM Agents to Manage Their Own Memory Using Reinforcement Learning

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5 min read
Nemotron 3 Ultra: How NVIDIA Built a 550B Open Model That Runs Faster Than Its Smaller Rivals

Nemotron 3 Ultra: How NVIDIA Built a 550B Open Model That Runs Faster Than Its Smaller Rivals

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4 min read
Why Agentic Resource Discovery Is the Missing Layer for AI Agents

Why Agentic Resource Discovery Is the Missing Layer for AI Agents

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4 min read
What GLM-5.2 Changes for Long-Horizon Coding

What GLM-5.2 Changes for Long-Horizon Coding

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4 min read
MiniMax M3: What a 1M-Token Open-Weight Model with Sparse Attention Actually Means for Developers

MiniMax M3: What a 1M-Token Open-Weight Model with Sparse Attention Actually Means for Developers

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5 min read
Why Structured Feedback Is Showing Up in Recent LLM Training Papers

Why Structured Feedback Is Showing Up in Recent LLM Training Papers

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5 min read
FastContext: why coding agents benefit from a separate repository explorer

FastContext: why coding agents benefit from a separate repository explorer

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4 min read
DiffusionGemma: How Google DeepMind's Text Diffusion Model Achieves 1,000 Tokens Per Second

DiffusionGemma: How Google DeepMind's Text Diffusion Model Achieves 1,000 Tokens Per Second

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5 min read
DiffusionGemma 26B: How Google's Text Diffusion Model Generates Tokens in Parallel

DiffusionGemma 26B: How Google's Text Diffusion Model Generates Tokens in Parallel

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5 min read
Why Vision-Language Models Should Reroute, Not Remove Visual Tokens

Why Vision-Language Models Should Reroute, Not Remove Visual Tokens

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5 min read
Claude Fable 5 shows how frontier AI is being shipped now

Claude Fable 5 shows how frontier AI is being shipped now

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5 min read
What Anthropic’s June 2026 Cyber Threat Report Says About AI-Enabled Attack Compression

What Anthropic’s June 2026 Cyber Threat Report Says About AI-Enabled Attack Compression

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5 min read
How OpenAI's Dreaming V3 Rewires ChatGPT's Memory from the Ground Up

How OpenAI's Dreaming V3 Rewires ChatGPT's Memory from the Ground Up

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5 min read
Harness engineering: the missing layer for reliable coding agents

Harness engineering: the missing layer for reliable coding agents

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5 min read
Gemma 4 12B shows how far local multimodal AI has moved

Gemma 4 12B shows how far local multimodal AI has moved

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5 min read
How StepPRM-RTL Uses Stepwise Rewards to Improve Verilog and VHDL Generation

How StepPRM-RTL Uses Stepwise Rewards to Improve Verilog and VHDL Generation

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4 min read
AI/ML Update

AI/ML Update

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5 min read
NVIDIA Cosmos 3: Unifying Physical AI Reasoning and Generation with Two-Tower Architecture

NVIDIA Cosmos 3: Unifying Physical AI Reasoning and Generation with Two-Tower Architecture

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5 min read
NVIDIA Cosmos 3: How a Two-Tower Architecture Unifies Physical AI Reasoning and Generation

NVIDIA Cosmos 3: How a Two-Tower Architecture Unifies Physical AI Reasoning and Generation

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5 min read
How the Model Context Protocol Became a Security Minefield — and What Researchers Are Doing About It

How the Model Context Protocol Became a Security Minefield — and What Researchers Are Doing About It

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5 min read
The Hierarchical Reasoning Model: Can a 27M-Parameter Network Outthink Chain-of-Thought?

The Hierarchical Reasoning Model: Can a 27M-Parameter Network Outthink Chain-of-Thought?

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5 min read
PaddleOCR-VL Explained: How a 0.9B Model Parses Documents

PaddleOCR-VL Explained: How a 0.9B Model Parses Documents

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4 min read
Thinking as Compression: How CoLaR Shrinks LLM Reasoning Chains

Thinking as Compression: How CoLaR Shrinks LLM Reasoning Chains

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5 min read
AlphaEvolve: Google DeepMind's Gemini-Powered Evolutionary Coding Agent

AlphaEvolve: Google DeepMind's Gemini-Powered Evolutionary Coding Agent

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5 min read
Google's Omni World Model: What It Is and Why It Matters

Google's Omni World Model: What It Is and Why It Matters

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5 min read
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