59 related articles

Claude Code isn't just a chat AI—it can directly read projects, modify code, and run commands. This article compares Claude Code with ordinary AI across five dimensions: interaction, context, execution, memory, and tool calling.

In-depth analysis of Claude Code customization methodology: from access, knowledge injection to tooling. Master context window management, zero-overhead Hooks, and MCP & Skills plugin primitives to build a scalable AI software engineering workflow.

Cosine AI founder reveals how the UK's first sovereign LLM is being built — from government compute grants and RL credit attribution to multi-agent orchestration and synthetic data pipelines.

A hands-on guide to LLM fine-tuning: from understanding model weights to local Qwen3 deployment, dataset preparation, and domain-specific training. Build a complete AI engineering skill set.

AI Engineer Summit deep dive: Local AI hits a real inflection point, driven by privacy and cost. Multi-model collaboration goes mainstream, NVIDIA + ExoLabs achieve 10x gains, open-source ecosystem accelerates.

Krea2 TextFusion Refusal Reduction LoRA is a lightweight fine-tuning tool designed to boost prompt adherence, with standout performance in emotional expression and character knowledge retention.

John Carmack and Turing Award winner Richard Sutton co-founded Keen Technologies. Their debut paper Physical Atari has robots playing real Atari games via cameras and mechanical controllers in real time.

Dario Amodei and Demis Hassabis both call continual learning key to AGI, yet the term remains undefined. This article clarifies five interpretations and analyzes three core bottlenecks.

Google and Yale propose RLMF, using metacognitive feedback to train LLMs for honest uncertainty expression, achieving 63% calibration improvement in benchmarks.

Can small local models (1.5B–3B) become software domain experts? This article breaks down CPT, SFT, RAG, and Agent architectures, with a layered RAG-centric design for CPU-only local deployment.

Model training failure is the norm in research, not the end. Using a real DiT fine-tuning failure on weather radar as a case study, this guide offers a systematic three-layer debugging methodology — data, training convergence, and evaluation — to help deep learning practitioners diagnose issues and iterate efficiently.

A practical LLM fine-tuning roadmap for beginners — covering when to fine-tune, LoRA/QLoRA selection, data prep, tools like Unsloth, and evaluation for Llama, Mistral, and Gemma.

When ChatGPT can answer directly, does retrieval still matter? Six experts from Microsoft, IIT Delhi debate parametric memory limits, BM25's endurance, and where retrieval ends and reasoning begins.
Evaluating General-Purpose Robot Polic…
How do you scientifically evaluate general-purpose robot policies for real-world deployment? This article breaks down evaluation challenges, task design, generalization testing, and the sim-to-real gap.
Continual Learning: The Overlooked Cor…
Why is Continual Learning the biggest barrier to AGI? This deep dive covers catastrophic forgetting, real-world deployment challenges, and the Amodei vs. Dwarkesh debate on AGI pathways.

How to find AI courses worth paying for amid the flood of beginner content. A guide to evaluating courses on Agentic workflows, RAG, fine-tuning, and more.
From Love to Disappointment: The Deepe…
Why did a veteran user go from loving Claude to feeling disappointed? A deep dive into over-alignment, style drift, and how model upgrades can protect longtime users.

Knowing how to call an API doesn't make you an AI engineer. This article breaks down the complete skill structure of an AI application engineer, covering Python fundamentals, LLM fine-tuning, Agent development, and enterprise projects.

Explore how neuro-symbolic AI architecture fuses neural networks with symbolic reasoning, simulating neurotransmitter regulation and sleep cycles to tackle hallucination and catastrophic forgetting.

A "Godzilla-class" super El Niño is brewing in the Pacific, and scientists warn it could set records for pushing up global temperatures. A deep look at how El Niño works, its uneven global impacts, climate policy gridlock, and the surprising hope from the green energy transition.