164 related articles

Deep dive into Perplexity AI: real-time web search + multi-model AI, transparent citations, Focus Modes, PDF chat, and collaborative Collections. Can it replace Google and ChatGPT?

How does watermarking work — and why won't companies deploy it? How does differential privacy defend against membership inference attacks? Based on talks by IISc and IIT scholars, this article unpacks the core mechanisms and real challenges in LLM security.
Deep Dive into AI Agent Skill Design: …
A deep dive into Skill design philosophy from Anthropic's Claude Code team and Perplexity's Agent team, covering the Tax Test, Gotchas Flywheel, progressive disclosure, and Eval-First practices for building high-quality AI Agent skill systems.
Why Can't AI Identify That Catchy Ad S…
Why can't Shazam identify that YouTube ad song? We explore the real technical limits of audio recognition tools and AI music search — and 3 practical ways to find that earworm.
Where Do AI Writing Tics Come From? A …
Why does AI text love phrases like 'It's not just X, it's Y'? We unpack the origins of AI writing tics — from training data biases to RLHF — and why even developers can't fully explain them.
Structured Information Extraction with…
Using Qwen 2.5 7B quantized locally to extract 60+ fields from insurance/financial contracts? Learn why it struggles and how task splitting, RAG, GBNF, and smarter chunking can fix it.

Is $200/month for AI Agents worth it? We break down credit consumption mechanics, tool tradeoffs, and ROI calculations for ChatGPT Pro, Claude Max, and more.

An ML engineer trained SmoLLM, a 109M-parameter LLaMA-style model from scratch for under $50. Full breakdown of architecture, training pitfalls, instruction tuning, and real-world performance.

Perplexity Max users find monthly credits slashed from 40,000 to 10,000 with no notice. We break down why, how Agent features drain credits, and what paid users should do.

A comprehensive guide to preparing for the National Mathematical Modeling Contest: covering the essence of modeling, judging rules, topic selection, AI usage guidelines, and a four-day schedule to boost your chances of winning.

The New York Times and other publishers accuse OpenAI of withholding key tools and datasets in the ChatGPT copyright lawsuit, filing a sanctions motion. A deep analysis of the Discovery dispute, AI training data copyright dilemmas, and implications for AI industry compliance.

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.
Mesh LLM: A Practical Exploration of B…
Mesh LLM leverages the Rust P2P framework iroh to integrate compute from scattered nodes, exploring a viable path for decentralized LLM inference. This article analyzes its architecture, challenges, and prospects.

An in-depth breakdown of the fully automated AI writing workflow popular in web novel circles: from data-driven topic selection, book deconstruction and imitation, AI-trace removal, to one-click distribution and monetization. Efficiency tool or content bubble?

Perplexity's Comet browser faces user criticism over lagging model versions, stalled updates, and stability issues. A deep analysis of AI browser challenges.

Generative AI tools have flooded social media with AI-generated content, hitting LinkedIn hardest due to its professional nature. A deep dive into the causes, ecosystem impact, and solutions.

Alibaba bans Claude Code over security risks, sparking tech community debate. An in-depth analysis of data leakage risks with cloud AI coding tools and the rise of local AI deployment.
Embracing AI in the Classroom: A Teach…
One teacher chose not to ban AI but to co-create a classroom contract with students. This article examines the logic, contract design, and educational philosophy behind this teaching experiment.

Local LLM tool Ollama closes a $65M Series B, bringing total funding to $88M. With 9M developers and 85% of Fortune 500 having deployed internally, this deep dive explores why enterprises embrace local LLMs: compliance, Agent cost savings, and open-source ecosystem.

Why can a mini PC with unified memory run a 70B model while an RTX 4090 can't? A deep dive into the VRAM wall and unified memory architecture for smarter local AI hardware choices.