OPM Watchdog Says Review of DOGE Work Is Underway
The acting inspector general says the Office of Personnel Management is investigating whether any “emerging threats” have arisen as Elon Musk’s DOGE works to rapidly transform government systems.
New technique overcomes spurious correlations problem in AI
AI models often rely on “spurious correlations,” making decisions based on unimportant and potentially misleading information. Researchers have now discovered these learned spurious correlations can be traced to a very small subset of the training data and have demonstrated a technique that overcomes the problem.
Surreal September: Celebrating Our Winners and Highlights
Surreal September was more than just a challenge—it was about elevating your AI art skills through the imaginative world of surrealism. We provided structured subthemes and a detailed workbook to teach actual surreal design principles, guiding participants through an iterative creative process similar to a condensed AI art course. Surrealism made for the perfect theme because it …
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The great software rewiring: AI isn’t just eating everything; it is everything
Gen AI is not just another technology layer; it has the potential to eat the entire software industry from the inside-out.Read More
14 Best Tote Bags of 2025, Tested and Reviewed by WIRED
From beach days to board meetings, these top totes are designed to protect your valuables, and then some.
Text Summarization with DistillBart Model
This tutorial is in two parts; they are: • Using DistilBart for Summarization • Improving the Summarization Process Let’s start with a fundamental implementation that demonstrates the key concepts of text summarization with DistilBart: import torch from transformers import AutoTokenizer, AutoModelForSeq2SeqLM class TextSummarizer: def __init__(self, model_name=”sshleifer/distilbart-cnn-12-6″): “””Initialize the summarizer with a pre-trained model.
How to Clean Vinyl Records (2025): Vacuums, Solution, Wipes
Those clicks and pops aren’t supposed to be there! Give your music a bath with this handy guide.
Diagnosing and Fixing Overfitting in Machine Learning with Python
Overfitting is one of the most (if not the most!) common problems encountered when building machine learning (ML) models.
Mastering Tariffs with Palantir
Global trade patterns are being redefined. As tariffs reshape international commerce, enterprises face a once-in-a-generation inflection point. To successfully navigate the rapidly evolving supply chains, dynamic pricing structures, and ever-shifting regulations, they will need to reevaluate their longstanding business practices in real-time or risk falling behind. This post explores how enterprises can harness Palantir to address …
Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion
This post is co-authored with Sundeep Sardana, Malolan Raman, Joseph Lam, Maitri Shah and Vaibhav Singh from Verisk. Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud, and make informed decisions about global risks. …
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