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Build a self-hosted VPN for full control, better privacy, and reliable access, even in regions with censorship and DPI-based blocking

In November, 2025 Russia-based web host Media Land was sanctioned by several countries as a bulletproof service — the one hackers relied on to launch DDoS attacks and attack businesses in the United States and in allied countries. “Bulletproof” may refer to a VPN as well, as it usually means abuse resistant and private. Xeovo explains how genuinely reliable anonymous VPNs and hostings differ from bulletproof services — and why the real bulletproof operators are often not those who call themselves that.

Our test framework broke as services grew. We redesigned it with clear layers to scale tests, reduce coupling, and support SDKs and AI.

Async logging is often treated as an obvious optimization.

It isn’t.

It just moves the cost somewhere else.

This idea sounds simple: synchronous logging blocks, async logging doesn’t — so it must be faster.

But once you look at what actually happens inside the system, the picture becomes very different.

Libraries like Quill are built around asynchronous pipelines. Others, like spdlog, support both synchronous and asynchronous modes. Some systems — including logme — deliberately mix synchronous formatting with asynchronous output.

Despite these differences, they all run into the same fundamental constraints.

Quantum mechanics is one of the most successful theories in the history of science.

It underlies atomic physics, semiconductors, lasers, and modern quantum technologies.

However, nearly a century after its development, a peculiar situation remains:

we can predict experimental results with remarkable precision, yet we still do not fully understand what quantum theory actually represents.

Does it describe physical reality “as it is,” or does it instead describe the structure of conditions under which observable facts become possible?

In this article, I propose the following hypothesis:

quantum theory does not describe reality itself, but the conditions and mechanisms through which observable reality emerges.

Discover the best multi-AI aggregators that combine models like GPT, Claude, Gemini, Sora, Kling, Google Veo and Midjourney in one workspace. Compare platforms for text, images, video, and productivity to find the right AI hub for your workflow.

GitHub Copilot CLI brings Copilot directly into your terminal. You can ask questions, understand a project, write and debug code, review changes, and interact with GitHub without leaving the command line.

The main goal of UX design is to create a usable, accessible and aesthetically pleasing product that helps people solve certain problems in their everyday routine. To achieve that, UX designers should follow UX principles and guidelines that are aimed at creating user-friendly intuitive interfaces and have stood the test of time. Even though each UX project might have its own guidelines and heuristic evaluations based on its peculiarities, some principles serve as a common UX basis in any situation. 

Every week, I watch tutorials, save articles, bookmark tools, and collect ideas I want to come back to later. But a few days later, the problem shows up: I may remember the topic, but not the details. I know I saw something useful, but I cannot explain it clearly or apply it with confidence.

The Art of Comeback of the European Bureaucracy 

On November 26, Members of the European Parliament rejected the Chat Control Act in its current version, i.e, mandatory scanning of the user traffic before it gets encrypted. Lawmakers, however, will hardly give up: requirement for mandatory scanning shall be reconsidered every three years. Xeovo explains what is the story behind this law and why, in reality, there’s little justification for passing it.

Today I present results from the first step towards enabling temporary tables in PostgreSQL parallel query execution: benchmarking sequential writes and reads of temp buffers. I added functions to the PostgreSQL system catalog to measure buffer flush operations and ran a set of tests. For the planner, I estimated the cost coefficient of flushing a temporary table buffer page to disk relative to the existing DEFAULT_SEQ_PAGE_COST. I also estimated the cost of a simple scan of temp buffers (a dry-run). Measurements show that sequential writes are about 30% slower than reads. Based on these results, I propose a cost formula. I also ran a limited “dry-run” style estimate and measured write speed when table blocks are distributed across memory pages randomly.

In this article, I would like to share my experience participating in the Agentic Legal RAG Challenge 2026 hackathon. Our team is called "Sparks of intelligence".
Original article in Russian: https://habr.com/ru/articles/1014520/

If you are using a LoRa module for point-to-point (P2P) communication or building your own private protocol, understanding and correctly configuring each parameter is the key to successful communication.

After reading this article, you will learn:

• How Should the LoRa Over-the-Air (PHY) Modulation and Packet Format Parameters Be Configured, and Why?

• The meaning of RF front-end parameters and how to tune them

• Chip-level control parameters: operating modes, clocks, power supply, calibration, and more

• A quick-reference "must-match" table and a list of common issues

Note: This article covers only LoRa (P2P/Private Protocol) parameters. If you need information on LoRaWAN protocol-layer parameters (e.g., ADR, DevEUI, join procedures), please refer to "LoRaWAN Protocol Layer Parameters".

Before starting configuration, verify that your device has selected PacketType = LoRa. The LR2021 supports multiple modulation types—including LoRa, LR-FHSS, FLRC, FSK/GFSK, OQPSK, and OOK. When using P2P LoRa communication, you must first switch to LoRa mode; all subsequent modulation and packet structure commands will then be interpreted in LoRa mode.

If you select the wrong PacketType (e.g., FLRC or GFSK mode), the chip will not interpret the SF, BW, and CR parameters in LoRa mode, The result is that the transmitted data cannot be decoded by the receiving end at all.

Have you ever wondered what actually happens inside Flutter when you press a button and watch a smooth animation?

Have you ever wondered what actually happens inside Flutter when you press a button and watch a smooth animation?

rexglue (https://habr.com/ru/articles/1002640/

example project with dolphin https://github.com/rexglue/demo-iruka

Replace with our .xex file (project), then start codegen

There’s a dangerous illusion that “vanilla” open source is a silver bullet for enterprise systems. A real-world stress test of recent years has shown the opposite: when familiar giants like Oracle step aside, plain PostgreSQL often turns into a pumpkin under true enterprise workloads.

Mark Rivkin, Head of technical consulting at Postgres Professional, shares his personal perspective on why teams end up reinventing the wheel — adding millions of lines of code to the core — and why the future belongs to converged database systems.

Disclaimer: this article reflects the author’s independent expert opinion.

Continuing the series of CommitFest 19 reviews, today we're covering the January 2026 CommitFest.

The highlights from previous CommitFests are available here: 2025-07, 2025-09, 2025-11.

Partitioning: merging and splitting partitions
pg_dump[all]/pg_restore: dumping and restoring extended statistics
file_fdw: skipping initial rows
Logical replication: enabling and disabling WAL logical decoding without server restart
Monitoring logical replication slot synchronization delays
pg_available_extensions shows extension installation directories
New function pg_get_multixact_stats: multixact usage statistics
Improvements to vacuum and analyze progress monitoring
Vacuum: memory usage information
vacuumdb --dry-run
jsonb_agg optimization
LISTEN/NOTIFY optimization
ICU: character conversion function optimization
The parameter standard_conforming_strings can no longer be disabled

AI video generators in 2026 allow anyone to create high-quality videos from text prompts, images, or scripts in just minutes. 

This guide explains how the technology works, compares the leading tools on the market, and highlights their strengths, limitations, and best use cases to help you choose the right solution for your creative or business needs.

After the unexpected divorce between LeCun and Meta, there is a lot of talk that the dead-end in LLM progress will be overcome through the physics of the world. That is, having a neural network work with physical data from the surrounding environment will allow the model to acquire meaning and an understanding of its actions. LeCun has a foundational paper that nobody is going to read. So, I'll summarize it as best I can. Essentially, the idea is that the current trajectory of LLM development is doomed. As long as they are predicting the next token, real understanding — the emergence of real meaning — is impossible. LeCun proposes training neural networks on physical world data, assuming that building a model of it will allow the system to discard details and focus on meaning.

I agree with LeCun that using world data will partially solve the data scarcity problem. But here I see a problem that engineers might not understand. A physical model of the world is actually much poorer than human knowledge. Newton described the entire infinite number of possible falls with a few lines of formulas. I doubt LeCun wants to spend billions of dollars on this wonderful deduction.