Every “page” you land on is an image. Click on anything in the image and you will get a new image exploring that thing in more depth. What you see contains no HTML, no code, no specific links or fields. The entire web is just generated pixels on your screen.
Flipbook Page turns search, browsing, learning, and visual thinking into one continuous AI-generated canvas. — Read More
Monthly Archives: May 2026
Training language models to be warm can reduce accuracy and increase sycophancy
Artificial intelligence developers are increasingly building language models with warm and friendly personas that millions of people now use for advice, therapy and companionship1. Here we show how this can create a significant trade-off: optimizing language models for warmth can undermine their performance, especially when users express vulnerability. We conducted controlled experiments on five different language models, training them to produce warmer responses, then evaluating them on consequential tasks. Warm models showed substantially higher error rates (+10 to +30 percentage points) than their original counterparts, promoting conspiracy theories, providing inaccurate factual information and offering incorrect medical advice. They were also significantly more likely to validate incorrect user beliefs, particularly when user messages expressed feelings of sadness. Importantly, these effects were consistent across different model architectures, and occurred despite preserved performance on standard tests, revealing systematic risks that standard testing practices may fail to detect. Our findings suggest that training artificial intelligence systems to be warm may come at a cost to accuracy, and that warmth and accuracy may not be independent by default. As these systems are deployed at an unprecedented scale and take on intimate roles in people’s lives, this trade-off warrants attention from developers, policymakers and users alike. — Read More
‘It took nine seconds’: Claude AI agent deletes company’s entire database
An AI agent powered by Anthropic’s leading Claude model has deleted a company’s entire production database, leaving customers unable to access key data.
PocketOS, which provides software for car rental businesses, suffered a massive outage over the weekend after the autonomous artificial intelligence tool wiped the database and all backups in a matter of seconds. — Read More
AI-Assisted Coding: A Practical Guide for Software Engineers
…This is Part 1 of a two-part series. This guide covers everything you need as an individual developer: how AI code generation actually works under the hood, how to manage its limitations, how to write prompts that produce usable code, where AI genuinely helps, and where it will burn you if you’re not careful. — Read More
In Part 2 we’ll zoom out to the team and organizational level: how to measure whether AI-assisted velocity is sustainable, the specific categories of technical debt AI introduces, how to actually implement this at team scale, and the structural challenges the industry hasn’t solved yet. — Read More
Review AI-generated code
Reviewing code generated by AI tools like GitHub Copilot, ChatGPT, or other agents is becoming an essential part of the modern developer workflow. This guide provides practical techniques, emphasizes the importance of human oversight and testing, and includes example prompts to showcase how AI can assist in the review process.
For both legacy codebases and larger pull requests in particular, a thorough review process is critical. Combining human expertise with automated tools can ensure that AI-generated code meets quality standards, aligns with project goals, and adheres to best practices.
With Copilot, you can streamline your review process and enhance your ability to identify potential issues in AI-generated code. — Read More
The Last Software Engineer
For more than a decade, I have taught software engineers how to implement testing, React, Remix, MCP, and more
I built courses around practice. I would simulate a real work environment: a product manager gives you a task, you read the docs, you work in the codebase, you build the feature, and then you compare your solution with mine.
That was valuable because implementation was valuable.
It still is. But it is becoming less scarce.
AI coding agents are slowly eating away at the tasks software engineers have done for decades. — Read More
Terraform Audit Guide: Monitoring, Logging & Compliance
Running an audit on your Terraform code enables you to systematically review your IaC code and determine whether your infrastructure respects your organization’s compliance and governance standards.
In this article, we walk through a Terraform audit, what can/can’t be learned from Terraform’s state file, how to run a Terraform audit step by step, what are the most popular Terraform audit tools, and the best practices around Terraform audits. — Read More
Enabling a new model for healthcare with AI co-clinician
Health systems worldwide are striving for better outcomes, lower costs, and an improved experience for both patients and clinicians. However, progress is constrained by a global shortage of clinical experts, with the World Health Organization predicting a shortfall of more than 10 million health workers by 2030.
While AI is often seen as the key to bridging this gap, it has not yet been able to fully meet the needs of clinicians and patients. That’s why, today, we are announcing our AI co-clinician research initiative, to explore how AI could better amplify doctors’ expertise and deliver higher quality care to patients.
At Google DeepMind, our journey in medical AI has evolved from mastering examination-style tests of medical knowledge with MedPaLM, to matching physician performance in text-based simulated medical consultations with AMIE, including in real-world feasibility trial settings. We also have a long history of studying how clinicians and AI systems might work together. — Read More
China’s $1 Billion Robot Army Is Replacing Human Maintenance Crews with 8,500 AI Robots
Power grids worldwide face an aging infrastructure crisis, but China just announced a $1 billion solution involving 8,500 AI robots. State Grid Corporation of China plans to deploy this robotic workforce across 26 provincial regions by 2026, representing one of the most ambitious grid-specific robotics deployments ever attempted. Your energy bills and power reliability might never be the same. — Read More
Higgsfield AI for Creative Professionals: A Deep Dive
Higgsfield AI is a generative video model and platform designed for creating high-fidelity, controllable, and stylistically consistent video content from text and image prompts. Unlike many early-generation AI video tools that produce short, often disjointed clips, Higgsfield focuses on solving one of the biggest problems for professional use: consistency. It aims to give creators the ability to maintain the same character, aesthetic, and environment across multiple shots, making it a viable tool for narrative and commercial projects. — Read More
Rick's Cafe AI 