ContentPosts from @kala..
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@kala shared a link, 2 days, 19 hours ago
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How to build a Frontend for LangChain Deep Agents with CopilotKit!

LangChain recently introduced Deep Agents: a new way to build structured, multi-agent systems that can plan, delegate, and reason across multiple steps. It comes with built-in planning, a filesystem for context, and subagent spawning. But connecting that agent to a real frontend is still surprisingl.. read more  

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@kala shared a link, 2 days, 19 hours ago
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How to Train an AI Agent for Command-Line Tasks with Synthetic Data and Reinforcement Learning

NVIDIA shows how to fine-tuneNemotron-Nano-9B-V2to handle new CLI tools - without touching real user data. The trick? A mix ofsynthetic data,reinforcement learning with verifiable rewards (RLVR), and their home-grown trainer stack:NeMo GymplusGRPO. The result: an LLM agent that adapts fast, plays ni.. read more  

How to Train an AI Agent for Command-Line Tasks with Synthetic Data and Reinforcement Learning
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@kala shared a link, 2 days, 19 hours ago
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The Rise of GPUOps: Where Infrastructure Meets Thermodynamics

GPU demand for AI has shot up 600% since 2020. It’s outpaced the cloud abstractions devs rely on - highlighting a growing gap between slick DevOps dashboards and the gritty realities of heat, cost, and silicon. EnterGPUOps. It's not just a trend - it’s a new layer in the stack. Think observability w.. read more  

The Rise of GPUOps: Where Infrastructure Meets Thermodynamics
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@kala shared a link, 2 days, 19 hours ago
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Don't fall into the anti-AI hype

The writer recently left their job to explore AI and programming through various projects, including creating a YouTube channel focused on these topics. They discuss how AI is changing the landscape of programming, allowing for faster, more efficient coding methods. Despite concerns about job displa.. read more  

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@kala shared an update, 2 days, 22 hours ago
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Qwen3-TTS Series Released: This Open-Source Model Can Clone Your Voice in 3 Seconds

The Qwen3-TTS series introduces open-source models for speech generation, voice design, and cloning, available in 1.7B and 0.6B sizes. These models support 10 languages and offer features like rapid voice cloning and style control. They excel in multilingual capabilities and efficient speech signal processing.

Qwen3-TTS Series Released: This Open-Source Model Can Clone Your Voice in 3 Seconds
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@kala shared a link, 1 week ago
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The Complete Guide to CLAUDE.md

Claude Code just got smarter withCLAUDE.md- a project-level file that loads every time a session starts. Drop in your team's coding quirks, custom commands, naming rules, or traps to avoid. Claude reads it, remembers it, and quietly tailors responses to fit. Think of it likeAGENTS.md, seen in Cursor.. read more  

The Complete Guide to CLAUDE.md
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@kala shared a link, 1 week ago
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FinePDFs: Liberating 3T of the finest tokens from PDFs - a Hugging Face Space by HuggingFaceFW

Hugging Face introduces FinePDFs, a large open dataset built by extracting and cleaning text from millions of PDF documents, reaching trillions of tokens across many languages. The post explains how the pipeline handles messy PDF structure, layout noise, duplication, and low-quality content to produ.. read more  

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@kala shared a link, 1 week ago
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Recursive Language Models: the paradigm of 2026

Prime Intellect dropped a fresh take on long-range LLM workflows with itsRecursive Language Model (RLM)scaffold. It pulls off two smart moves: folds context to free up tokens and spins off sub-LLMs to handle chunkier tasks. Think persistent Python REPL meets lightweight agent swarm... read more  

Recursive Language Models: the paradigm of 2026
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@kala shared a link, 1 week ago
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Reading across books with Claude Code

A custom LLM agent, built withClaude Codeand some hard-working CLI tools, chewed through 100+ nonfiction books by slicing them into 500-word semantic chunks - and then threading excerpt trails by topic. Under the hood: Chunk-topic indexes lived inSQLite. Topic embeddings flowed throughUMAPfor clust.. read more  

Reading across books with Claude Code
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@kala shared an update, 1 week, 1 day ago
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Anthropic’s New "Economic Primitives" Reveal Who Uses Claude, for What, and How Well It Works

Anthropic's new Economic Index report introduces five "economic primitives" to measure *how* Claude is used: task complexity, user and AI skill level, use case (work, coursework, personal), autonomy, and task success - built from privacy-preserving classification of anonymized Claude.ai and first-party API transcripts from **November 2025**.

Anthropic’s New "Economic Primitives" Reveal Who Uses Claude, for What, and How Well It Works