Oracle, the software company headquartered in Austin, Texas, has filed thousands of petitions for H-1B visas in the past two fiscal years, even as it lays off thousands of American workers as part of a broader organizational shift. Federal data shows Oracle filed for 2,690 H-1B visas in fiscal year 2025 and 436 so far in fiscal year 2026, totaling over 3,100 visa requests.
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We replaced expensive sandboxes with ChromaFs, a virtual filesystem over Chroma, to give our docs AI assistant the ability to explore documentation like a developer would.
Find European alternatives for software, daily products, and tech. Stricter environmental standards, fair working conditions, and data sovereignty – Made in Europe.
A growing number of NHS staff are reportedly refusing to work on the Federated Data Platform (FDP) due to ethical concerns with its US-based provider, Palantir. The US technology company was...
April 2026 TLDR setup for Ollama + Gemma 4 26B on a Mac mini (Apple Silicon) — auto-start, preload, and keep-alive - how-to-setup-ollama-on-a-macmini.md
317 pointsby greenstevester201 days ago119 comments
Post Mortem: axios npm supply chain compromise Date: March 31, 2026 Author: Jason Saayman Status: Remediation in progress On March 31, 2026, two malicious versions of axios (1.14.1 and 0.30.4) were...
TinyGo - A Go Compiler For Small Places Get Started See the code Go on embedded systems and WebAssembly TinyGo brings the Go programming language to embedded systems and to the modern web by creating a new compiler based on LLVM. You can compile and run TinyGo programs on over 100 different microcontroller boards from maker boards such as the BBC micro:bit and the Arduino Uno, to industrial processors from Nordic Semiconductor and ST Microelectronics.
Last year my aunt let me add her original Tangerine iBook G3 clamshell to my collection of old Macs1. It came with an AirPort card—a $99 add-on Apple made that ushered in the Wi-Fi era. The iBook G3 was the first consumer laptop with built-in Wi-Fi antennas, and by far the cheapest way to get a computer onto an 802.11 wireless network.
Every dataframe library ships with hundreds of operations. pandas alone has over 200 methods on a DataFrame. Is pivot different from melt? Is apply different from map? What about transform, agg, applymap, pipe? Some of these seem like the same operation wearing different hats. Others seem genuinely distinct. Without a framework for telling them apart, you end up memorizing APIs instead of understanding structure.
Proton built Proton Meet to escape the CLOUD Act. They built it on CLOUD Act infrastructure. Their website promises "not even government agencies" can access your calls. The company routing them hands your call records to the government when asked. Proton hid them from their privacy policy.