mlllm.ioAI news and builder lab
AI channel Telegram Threads GitHub

Independent AI news for builders

AI news, clear context, and the projects behind the work.

Short briefs, source trails, and deeper explainers from a visible publishing pipeline — not a generic technology news feed.

Stories tracked901Short briefs with source trails and paired longform links when available.
Explainers899Expanded pages that carry the durable context behind selected stories.
Media assets631Verified images, video posters, and source media attached to story records.
Languages planned8EN/RU first; other locales stay gated until translation quality is ready.

Start with the feed, then go deeper.

Use the news feed for quick updates, explainers for context, the blog for working notes, and projects to inspect the systems behind the publication.

/news/

Short news feed

English index for translated briefs. The current live source feed is visible under /ru/news/.

/articles/

Explainers

Selected stories rewritten as clean longform articles with context, source trail, and related links.

/topics/

Topic pages

Evergreen answers about the publishing system, quality gates, and story model without duplicating daily news.

/blog/

Builder notes

Personal thinking about agents, editorial infrastructure, product design, and open-source work.

/projects/

Project index

TG-NEWS, Task-Plan v2 Dashboard, MCP experiments, and other systems with status and repositories.

How a story moves from source to site.

  1. IngestPublic sources, research posts, company updates, repositories, and Telegram-native signals.
  2. MapDomain, vendor, importance, duplicate groups, source trail, and short trend signal.
  3. VerifyCheck facts, source links, repeated context, weak claims, and publication quality before release.
  4. LocalizePrepare English and Russian editions with language-specific headlines, terms, and links.
  5. PublishStatic HTML pages, RSS, sitemap, news sitemap, llms.txt, and cross-language links.

Latest English AI stories

English story index

Source-backed English briefs selected from TG-NEWS.

Combating AI Style via logit_bias API

Researcher Vincent Schmalbach tested using the logit_bias parameter to reduce the use of characteristic AI words in texts. He emphasizes the need for hybrid methods (prompting + bias) to manage generation style, as pure token manipulation disrupts text logic.

Read briefRead longformTelegram
I Gave Claude One Tool to Edit, Master and Transcribe All My Audio [video]

New audio-transcriber skill for Claude Code

The audio-transcriber skill (v2.0.0) has been introduced for Claude Code, enabling local audio and video processing. This accelerates the transition of agentic interfaces toward multimodal work tools capable of executing task chains (audio -> text -> visual analysis) locally.

Read briefRead longformTelegram
Cross-Vendor Semantic Void Matrix: Evidence and Analysis (GitHub)

The Semantic Void Phenomenon in Leading LLMs

The Cross-Vendor Semantic Void Matrix study revealed that top-tier models, such as GPT-5.2 and Claude Opus 4.6, instantly cease generation when encountering ontologically impossible concepts. This indicates a convergence in frontier model behavior and potential shared architectural limitations in training methods (alignment).

Read briefRead longformTelegram

US Plans to Create a Regulator for AI Model Auditing

The Trump administration is considering the creation of an independent agency, similar to FINRA, to oversee the safety of leading AI models. Moving from ad-hoc regulation to a structured oversight model could establish clear safety and compliance standards, but will also impose new obligations for auditing models before their release.

Read briefRead longformTelegram
The Real Reason Flights Are So Expensive in 2026 · Travel Intelligence

AI is Killing Cheap Flight Tickets

AI-based dynamic pricing algorithms are radically changing the air travel market, making it nearly impossible to find good deals. The implementation of hyper-reactive AI algorithms shifts the focus of airlines from mass coverage to maximizing the margin of each passenger segment.

Read briefRead longformTelegram
What Silicon Valley gets wrong about AI

Where Silicon Valley is Wrong About AI

The San Francisco Standard criticizes Silicon Valley's excessive focus on achieving AGI, which ignores structural barriers in the real sector. A breakthrough in models does not guarantee implementation in the real sector without reform of the regulatory environment and patent law.

Read briefRead longformTelegram

Read the context behind the news.

Explainers collect what happened, why it matters, what changed, source links, related stories, and language editions in one readable page.

See the systems behind the publication.

These projects show how the news pipeline, planning tools, MCP integrations, QGIS tooling, video-editor copilot work, and deployment experiments are built in public.

Production

TG-NEWS

Telegram-first AI news pipeline with discovery, story mapping, publication transactions, and channel output.

AI newsTelegramPipeline
Public OSS

Task-Plan v2 Dashboard

Dashboard for structured multi-agent task plans, implementation gates, review state, and execution visibility.

AgentsDashboardOSS
Public OSS

Mouse Trail Masking Reveal

Two Agent Skills for validating image layers and building a soft cursor-trail canvas reveal hero with tuning controls and browser checks.

CanvasAgent SkillsUX
Public OSS

MCP, QGIS, and editor tools

Public repositories for QGIS agent workflows, OpenCut copilot work, Telegram and Threads MCP servers, research search, and model deployment experiments.

MCPQGISOpenCut

Follow the public channels.

Sergey Kostenchuk

Sergey Kostenchuk / mlllm

I build AI news infrastructure, Telegram automation, local knowledge workflows, and agentic developer tools. mlllm.io is the public surface for that work: a news desk, article archive, blog, project index, and collaboration profile in one coherent system.

The goal is simple: keep useful public pages, visible source trails, related projects, and multilingual editions in one place readers and agents can understand.