2026-02-17 · kdnuggets.com

The Complete Hugging Face Primer for 2026

A practical 2026 guide to Hugging Face. Explore transformers, datasets, sentiment analysis, APIs, fine-tuning, and deployment with Python.

Today, the Hugging Face Hub hosts millions of pre-trained models, hundreds of thousands of datasets, and large collections of demo applications, all contributed by a global community.
Spaces: this is where you can build and host your demo, using Gradio and Streamlit.
2026-02-17 · linuxize.com

Chmod Cheatsheet

Quick reference for changing file and directory permissions with chmod in Linux

2026-02-16 · reuters.com

Alibaba unveils new Qwen3.5 model for 'agentic AI era'

Alibaba on Monday unveiled a new artificial intelligence model Qwen 3.5 designed to execute complex tasks independently, with big improvements in performance and cost that the Chinese tech giant claims beat major U.S. rival models on several benchmarks.

2026-02-15 · anup.io

Claude Code Tips From the Guy Who Built It

Boris Cherny created Claude Code at Anthropic. Over three Twitter threads (early January, late January, and February 2026), he shared how he and the Claude Code team use it every day. His setup is, in his own words, "surprisingly vanilla." I've pulled together every tip from all…

2026-02-14 · linuxize.com

Wget Cheatsheet

Quick reference for downloading files and mirroring websites with wget

2026-02-12 · linuxize.com

Screen Cheatsheet

Quick reference for GNU Screen sessions, windows, detach/attach, and common key bindings

2026-02-11 · newyorker.com

Why Do We Like Music?

People with musical anhedonia don’t get any enjoyment from music. Shayla Love writes about scientists studying this condition to learn about how music affects listeners’ minds and moods.

musical anhedonia
expectations
2026-02-10 · cooking.nytimes.com

Pan-Baked Lemon-Almond Tart

This flourless, crustless tart is rich, moist, sweet and and prepared almost entirely on the stovetop (with the exception of a few minutes spent under the broiler to crisp the top). It is the ideal decadent breakfast, a new twist on the classic coffeecake or last-minute dessert.

2026-02-09 · venturebeat.com

What AI builders can learn from fraud models that run in 300 milliseconds

Mastercard's Decision Intelligence Pro uses recurrent neural networks to analyze 160 billion yearly transactions in under 50 milliseconds, delivering precise fraud risk scores at 70,000 transactions per second during peak periods.

that transaction flows through Mastercard’s orchestration layer, back onto the network, and then on to the issuing bank. Typically, this occurs in less than 300 milliseconds.
they’re not looking for anomalies, per se; they’re looking for transactions that, by design, are similar to consumer behavior