Skip to content

Archive

September 21, 2026

30 events

Importance: monitoring OpenAI Regulation and law 1 source

OpenAI proposes global standards for AI safety

OpenAI proposes a path toward shared global standards for AI based on coordinated evaluation, reporting and governance, with the aim of improving safety.

Importance: monitoring Amazon AI agents update ✓ 2

Amazon blocked the shopping agent Muse from Meta from accessing its store

Since 20 September 2026, Amazon has been blocking the shopping agent Muse from Meta from accessing its store — according to Amazon, the agent does not disclose that it is AI and stores data without consent. Amazon previously imposed similar restrictions on agents from Perplexity, Google and OpenAI.

New: The agent does not identify itself as AI while browsing the platform; It appears to store customer data without consent; Muse became the most downloaded free app in the US App Store within a week of launch (8 September 2026); Amazon also blocks agents from Perplexity, Google and OpenAI; Meta and Amazon remain business partners with a billion-scale deal for AI chips

Importance: monitoring Productivity 1 source

Czech accounting firm This One deployed AI for 40 percent of its work

According to its management, Czech accounting firm This One lets AI perform 40 percent of its work, invests 10-15 percent of revenue in technology annually, and turns away clients who insist on paper-based processes.

Importance: important Hugging Face Open-source ✓ official

Hugging Face has released tokenizers v1 with significantly faster text processing

Hugging Face has released the tokenizers v1 release candidate, which, according to the company, is up to ten times faster than v0.23 while preserving the same API, output and vocabulary. The speedup comes from SIMD optimizations, caching recurring words and native parallelism.

Importance: monitoring AI agents 1 source

Orchestration of isolated LLM roles as an alternative to manually switching between chatbots

The author of the article on Root.cz describes a concept in which a software agent automatically divides a task among isolated roles (author, reviewer, checker), while context separation can, according to him, be achieved with a single model, not necessarily with multiple providers.