All streams

A categorical welcome to everyone. Literally on the first of August, right in the middle of the night, YouTube started lagging terribly for me. Naturally, I didn't like this at all. Well then, let's figure out why and how to fix it within my personal network.

What happened?

What happened is well described here, on Habr. In short, in my own words - during the SSL connection setup, the domain we are connecting to (the so-called SNI) is transmitted in plain text. And if it's googlevideo.com, then "interesting things" start to happen. You can check this locally with the commands from the article.

$ curl https://speedtest.selectel.ru/100MB -o/dev/null

Image generation by neural networks has become a 'regular button' alongside familiar design tools. Today, you can create an image from a description in Russian, right in your browser, often without registration and, importantly, for free. Such a 'free image generator' is useful not only for designers: entrepreneurs create product cards and hero banners, SMM specialists create ad creatives and stories, journalists and bloggers create illustrations for their materials, and developers create interface prototypes and game mockups.

Why has this topic become so popular?

A brief and clear description of the RAG (Retrieval Augmented Generation) approach for working with large language models.

Hello, Habr!

Today we'll look at how to install the network packet modification utility Zapret on Keenetic routers. Unlike using it on specific devices, installing it on a router allows you to process traffic from all devices connected to your home local network (PCs, smartphones, and smart TVs).

> As of April 10, 2024,
> three months later,
> this article has been blocked by Roskomnadzor (RKN)
> within the territory of the Russian Federation.
> It has also been removed from the web archive archive.org.
> The article on Habr remains accessible from IP addresses in other countries.
> Yes, now to read about VPNs, you need a VPN.

Against the backdrop of last year’s escalation of censorship in Russia, the articles by MiraclePTR were a breath of freedom for many Russian-speaking IT folks. I want to open the door to free information a bit wider and invite “non-techies” (“dummies”) who want to spin up a personal proxy server to bypass censorship but feel lost in the flood of information or got stopped by a confusing technical error.

In this article I’ve described a universal solution that provides transparent access to the global internet bypassing censorship, uses cutting-edge traffic obfuscation, doesn’t depend on the will of a single corporation, and most importantly has ample “safety margin” against interference from censors.

This article is aimed at “dummies” unfamiliar with the subject area. However, people “in the know” may also find something useful (for example, a slightly simpler setup for proxying via CloudFlare without having to run nginx on a VPS).

If you still don’t have a personal proxy to bypass censorship—this is your sign.

AI app builders have become very good at generating interfaces. From a technical perspective, that part is mostly solved. The harder problem is what comes next: connecting real data, enforcing user permissions, handling workflows, and deploying the app after the generation.

I constantly have multiple Chrome windows open, each with a pile of tabs. One window has a dozen slow analytics queries that I'll check "any minute now." Another has my research on $lookup and $unwind in MongoDB. The third one — with the most tabs — has local school enrollment rules, because life.

Tab-saving extensions have existed for ages, but reviews regularly complain about data loss — so why not build my own, designed specifically for backup? Every Chrome user already has a Google account, usually with sync enabled.

Here's how I used it to make Tab Saver extension that backs up to your Google Account without any signups and with zero configuration needed. It's pretty straightforward - you can easily use it as well.

Much attention is currently focused on the size of neural networks and the gigawatts of power consumed by data centers. However, the future lies not only in giant clusters but also in tiny chips embedded directly into the sensing elements of hardware. When a neural network is placed directly inside a sensor chip, it must be exceptionally efficient.

Through experimentation, I have successfully built a neural network architecture with 380 parameters (with potential for further reduction), capable of operating in conditions considered unsuitable for conventional algorithms.

This guide covers how to set up OpenClaw (formerly Clawdbot) on your local machine and, most importantly, how to secure it so strangers can’t access your computer. If you are ready, then let’s get started! :)

It’s surprising that there’s almost no practical information about Telegram Cocoon beyond what’s on GitHub and the official website. Various media outlets have plenty of general coverage about the network launch, but almost nothing about real user experience.

I decided to spend a bit of time and figure out what’s actually going on in the network, how it works, and, most importantly, whether I, as a developer, can use it today. So in this article I’ll look at Cocoon from a developer’s perspective: how to install it and how to use it.

Привет, Хабр! Меня зовут Юра Петров, я руководитель отдела разработки компании Friflex и автор канала «Мобильный разработчик». OpenAI на днях выпустила крутую статью, где впервые подробно описала работу своего агента для написания и изменения кода — Codex CLI. Сердце системы — «агентский цикл» (agent loop).

Это процесс, в котором модель получает задачу от пользователя, при необходимости вызывает инструменты (например, запускает команды в терминале), анализирует результат и повторяет цикл, пока не получит финальный ответ или не внесет нужные изменения в код. Статья фокусируется на том, как устроен этот цикл, как формируются запросы к модели и как система управляет контекстом.

Asynchronous I/O, ML-based query plan optimization, and built-in connection pooling are among the key features of the new Postgres Pro Enterprise 18. This release brings together the capabilities of the vanilla PostgreSQL 18 core with Enterprise-grade tools for working with large-scale data. Today we will walk through the technical details, new index scanning strategies, and mechanisms for scaling write workloads.

Trends in UX design change rapidly – not even by year, but rather by month. As smartphones and technologies constantly evolve, so do UX rules – that's why a product that was perfectly crafted according to the last year's trends most likely looks outdated already and needs a thorough update. Some trends stand the test of time, though, while others get quickly replaced by more relevant ones. Here are top 10 trends that are going to shape UX design in 2026:

Do you switch between Linux and Windows in dual-boot? Then you're probably familiar with this problem: you have to reconnect all your Bluetooth devices every time. Headphones, mouse, keyboard, gamepad — everything has to be reconnected.

It's scary to even think about it:
3 devices × 90 seconds × 3 switches per day × 250 days = 56 hours wasted per year.

I spent a month solving this problem and wrote BlueVein — a utility for automatically synchronizing Bluetooth keys between operating systems.

In modern neural networks, including Transformer-based LLMs, unbounded activation functions—ReLU and GELU—have become the standard. Their main advantage is good gradient flow and the rapid training of deep models.

However, in practice, a problem is observed: when dominant patterns or high-frequency noise appear in the input context (long dialogues, noisy data, repetitive or dominant tokens), models become unstable and prone to generation degradation and hallucinations.

In this article, I attempted to find out if the choice of activation function could be fundamentally linked to LLM hallucinations.

In my previous article, I noted some interesting behavior regarding Weight Decay; here, I examine it in detail.

It is generally accepted in the ML industry that if we take a pre-trained model and fine-tune it on a new task, the old weights are gradually overwritten. Furthermore, if we add Weight Decay (L2 regularization), the process of "forgetting" superfluous information should theoretically happen even faster.

I tested this claim experimentally. The results were counter-intuitive: under specific settings, Weight Decay works in the exact opposite way—it protects the old structure from destruction.

Below is a description of the experiment and conclusions for those involved in model training and AI safety.

In January 2026, Ollama added support for the Anthropic Messages API, enabling Claude Code to connect directly to any Ollama model. This tutorial explains how to install Claude Code, pull and run local models using Ollama, and configure your environment for a seamless local coding experience.

In my previous article, I explored the phenomenon of subliminal learning, but it raised more questions than answers. It is time to dive deeper. Below, you will find the experiments and the code.

In the fields of AI Alignment and LLM Security, a critical question remains: does fine-tuning or Reinforcement Learning from Human Feedback (RLHF) guarantee the removal of unwanted information?

Spoiler: The experiments demonstrated that the well-known Mode Connectivity effect makes the complete erasure of pre-training information practically impossible during standard fine-tuning. Structural Imprinting persists in the weight topology and can be read through a subliminal channel. Even with full weight unfreezing and aggressive L2 regularization (active forgetting), the latent space topology formed during the pre-training stage persists and determines the solution to the new task with an accuracy of 88–99%.

Today we want to talk about choosing a DBMS for WMS not as a dry technical discussion, but as a strategic decision that determines the security, budget, and future flexibility of your business. This is not about "why PostgreSQL is technically better," but about why it has become the only safe, cost-effective, and future-proof solution for Russian warehouse systems in the new reality.

This is not just another database article. It is a roadmap for those who do not want to wake up one day with a paralyzed warehouse and multi-million fines due to a bad decision made yesterday. At INTEKEY we have gone this path deliberately, and today our WMS projects for the largest market players run on PostgreSQL. We know from experience where the pitfalls are and how to avoid them.

I was so tired of being the worst at emojis on Google Meet that I reverse engineered its WebRTC messages to create a Google Chrome extension that shows the most popular emojis in the team and allows you to search by meaning and with typos.