Modern software systems depend on millions of lines of code — and each line can hide…
Category: AI / ML
The AI / ML category highlights the latest in artificial intelligence and machine learning. It covers advancements, challenges, and practical uses. Articles explore leading tech companies’ innovations. They discuss models that redefine performance, accuracy, and efficiency. A focus lies on the ethics and safety of large language models. It underscores the need for safe testing and deployment. Practical AI applications range from data preprocessing to code generation. They also cover uses in digital personal assistants. The category sheds light on AI’s enhanced reasoning and its limitations. There’s an emphasis on methods to improve AI training. The broader societal impacts of AI are also discussed. This includes decision-making, vulnerabilities, and shifts in traditional workflows.
ChatGPT Becomes a Platform: Apps Now Live Inside the Conversation
ChatGPT is becoming more than just a conversational AI—it’s turning into a platform. With the launch…
Claude Code 2.0 with New Features and Enhanced IDE Integration
Claude Code 2.0 introduces significant enhancements to streamline and enrich the coding experience for developers. With…
Claude Sonnet 4.5: Revolutionizing Coding with AI’s Latest Marvel
Claude Sonnet 4.5 emerges as the pinnacle of coding models, setting new benchmarks in the realm…
The hidden energy cost of AI-generated video
When we talk about the environmental footprint of digital technologies, streaming services and cryptocurrency mining usually…
When AI Agents Become Insider Threats: Notion’s Security Wake-Up Call
Notion’s move to give AI agents real power — read, plan, and call tools across a…
The AI Memory Gap: Why We Forget Who Wrote What
When people sit down to co-create with a chatbot, they often walk away with something polished—an…
OpenAI Launches GPT-5-Codex: A New Era of AI-Powered Coding Brilliance
OpenAI has unveiled GPT-5-Codex, an advanced version of its AI coding agent integrated into Codex, boasting…
We Panic About AI Hallucinations While Ignoring 94% Human Error Rates
Picture this: It’s 2001, and Enron is riding high as one of America’ds most innovative companies.…
When Code Training Goes Wrong: The Surprising Case of Emergent AI Misalignment
Imagine you fine-tune an LLM on your company’s internal codebase, hoping the model will better understand…
The Energy Infrastructure Gap That Could Decide the AI Race
When AI expert Rui Ma returned from her recent tour of China’s tech hubs, she brought…
Inside the Underground World of LLM Jailbreaks
Large language models are remarkably capable, but they’re not invulnerable. Creative users have found ways to…
GPT-5 is Here, and It’s Not What You Expected
OpenAI just dropped their GPT-5 System Card, and while everyone was expecting another monolithic model upgrade,…
The AI Agent That Actually Knows How to Build ML Models
How Google’s MLE-STAR is changing the game by doing what most ML engineers do: Google first,…
Qwen-Image: Finally, an AI That Can Actually Write
How Qwen’s new 20B parameter model solved the text rendering problem that’s been plaguing image generation…
Perplexity’s Stealth Crawling Sparks Debate Over AI Web Ethics
As the tug-of-war between AI companies and website owners intensifies, one player’s approach is raising particularly…
Putting Math Behind the Madness: A Theoretical Framework for LLM Hallucinations
How researchers are organizing rigorous mathematical foundations for one of AI’s most persistent problems The Problem…
The Hidden Homework Problem: How ArxivRoll Exposed AI’s Inflated Test Scores
A new framework reveals that some leading AI models may be getting significant artificial score boosts…
Teaching AI Models to Debug Themselves: The Reflect, Retry, Reward Method
When Small Models Beat Giants Here’s a result that should make anyone rethinking the “bigger is…
Claude Code Gets Smarter with Modular Sub-Agents for Dev Workflows
In a significant evolution of the Claude Code platform, Anthropic has rolled out a new capability…