From Data Analyst to Data Engineer: My 12-Month Self-Study Roadmap
. A part of me started this journey because data engineering is one of the hottest and highest-paying careers right now. I’m not going to pretend that wasn’t a factor. But there’s more to it than that. I’ve been learning data analytics for a while now. SQL, Power BI, Python (Pandas, NumPy, a little Polars), […]
Recursive Language Models: An All-in-One Deep Dive
, you will learn what Recursive Language Models (RLMs) are, why they are winning all the long-context benchmarks right now, and understand how they are different from existing agentic harness designs! And we are going to learn it by magnifying one simple case study. I have spent a decent chunk of last month implementing RLMs, […]
NVIDIA Introduces SANA-WM: A 2.6B-Parameter Open-Source World Model That Generates Minute-Scale 720p Video on a Single GPU
World models (systems that synthesize realistic video sequences from an initial image and a set of actions) are becoming central to embodied AI, simulation, and robotics research. The core challenge is scaling these systems to generate minute-long, high-resolution video without requiring prohibitively large clusters for both training and inference. Most competitive open-source baselines either require […]
How to Build Repository-Level Code Intelligence with Repowise Using Graph Analysis, Dead-Code Detection, Decisions, and AI Context
banner(“§12 CLAUDE.md”) sh(“repowise generate-claude-md”) md = TARGET / “CLAUDE.md” if md.exists(): print(md.read_text()[:4000]) banner(“§13 MCP tools via CLI”) base = [ (“get_dead_code”, “repowise dead-code –safe-only”), (“search_codebase”, ‘repowise search “timestamp expiry validation”‘), ] llm_only = [ (“get_overview”, ‘repowise query “Architecture overview please”‘), (“get_context”, ‘repowise query “Explain signer and serializer modules”‘), (“get_risk”, ‘repowise query “What is risky about […]
How to Build an MCP Style Routed AI Agent System with Dynamic Tool Exposure Planning, Execution, and Context Injection
class RoutedAgent: def __init__(self, server: MCPToolServer, router: HybridMCPRouter, model: str): self.server = server self.router = router self.model = model def discover_exposed_tools(self, exposed_tool_names: List[str]) -> List[Dict[str, Any]]: return [t for t in self.server.tools_list() if t[“name”] in exposed_tool_names] def plan(self, task: str, exposed_tools: List[Dict[str, Any]]) -> PlanOutput: instructions = “”” You are a planning agent in an […]
Zyphra Releases ZAYA1-8B-Diffusion-Preview: The First MoE Diffusion Model Converted From an Autoregressive LLM With Up to 7.7x Speedup
Zyphra, the San Francisco-based AI lab behind the ZAYA1 model family, released ZAYA1-8B-Diffusion-Preview — a preview of its early work in diffusion-language models. The release demonstrates that an existing autoregressive language model can be converted into a discrete diffusion model with no systematic loss of evaluation performance, while delivering substantial inference speedups on AMD hardware. […]
From Raw Data to Risk Classes
model fails not because the algorithm is weak, but because the variables were not prepared in a way the model can properly understand? In credit risk modeling, we often focus on model choice, performance metrics, feature selection, or validation. But before estimating any coefficient, another question deserves attention: how should each variable enter the model? […]
Deloitte: Scale ‘autonomous intelligence’ for real growth
Transitioning from controlled testing environments to live enterprise deployment is a very different proposition. A small-scale test might perform perfectly using carefully selected data sets, but deploying that ability in thousands of employees and interconnected software platforms exposes vulnerabilities. Navigating modern enterprise security environments means integrating the agentic architecture deeply with existing identity providers and […]
How I Continually Improve My Claude Code
articles on techniques I apply when using Claude Code to get the most out of it. However, a topic I’ve spent less time covering is how to improve my Claude Code usage in general. How do I optimize the way I interact with my Claude Code instances and the way my Claude Code operates within […]
Why My Coding Assistant Started Replying in Korean When I Typed Chinese
. Primarily, I work with my coding assistant in Chinese. However, my writing is often mixed: many engineering terms are more familiar to me in English (especially terms we use in python, git, etc), and some are even difficult to translate naturally into Chinese. Yesterday, I asked my coding assistant in Chinese:“run.py有早停吗？我在恒源云上跑，发现没有触发”, meaning, “Does run.py […]