mysummit.school - AI for Managers Blog

YandexGPT is a family of generative language models from Yandex, available through Alice, Yandex Browser, the Yandex Cloud API, and other ecosystem services. By February 2026, Yandex introduced the new Alice AI model family, which together with YandexGPT forms a powerful platform for working with the Russian language.

Grok, built by Elon Musk’s SpaceXAI (formerly xAI), sets itself apart from ChatGPT and Claude in two ways: it skips most of the heavy content filtering (“political correctness”) and it reads the X feed in real time.

In June 2026, SpaceX absorbed xAI and formed SpaceXAI – one company covering rockets, Starlink satellite internet and AI. An agent ecosystem has grown up around the model: the current flagship is Grok 4.6 (August 12, 2026), while Grok 4.5 (June 2026, 1.5 trillion parameters) is the version we have our own measurements for in the mysummit.school benchmark.

Gemini is Google’s generative AI ecosystem, and by February 2026 it had become the default tool for companies that run on Google’s services. Its edge comes from two things: it works inside Google Workspace (Docs, Sheets, Gmail, Drive) and it pulls current data from Google Search.

By mid-2026 the AI-tool market has grown specialized: ChatGPT’s grip has loosened, and professionals work with a “stack” of several models rather than a single one. Perplexity has carved out the niche of a smart navigator in an ocean of information – and over the past year it has grown from a search box into a browser and a working assistant.

In 2026, calling ChatGPT “a chatbot” undersells it. It is a work platform with several models, search, deep research, an agent mode, image generation and Codex for software development. Sora, the video app that used to sit in the same ecosystem, was shut down as a consumer product in April 2026. All that breadth makes the basic question harder for newcomers: which parts does an ordinary manager actually need, and which still matter only to power users and engineering teams?

On 11 February 2026, at a government meeting, President Tokayev publicly criticised KazLLM. The model, launched with great fanfare in December 2024, has just 600,000 users – 3% of the country’s population. For comparison: 2.6 million people in Kazakhstan use ChatGPT. The president was blunt: KazLLM “cannot compete with ChatGPT.”

This statement cuts to the heart of the matter. Why does Kazakhstan need its own language model if global solutions work better? And if sovereign AI is necessary – why is it losing?

The answer is more complicated than it seems. Because KazLLM is not “Kazakhstan’s ChatGPT.” It’s a fundamentally different tool with a different mission. Comparing them is like comparing a national power plant with an imported household appliance.

Their piece «The 2028 Global Intelligence Crisis» is a fictional memo dated June 2028. Not a forecast, but a stress test: what happens to the economy if machine intelligence really does replace white-collar workers as fast as the developers claim?

Because between “having access to information” and “knowing how to work with it” – there is a chasm. Access to medical textbooks doesn’t make you a doctor. Owning a kitchen knife doesn’t make you a chef. And the ability to ask ChatGPT a question doesn’t make you an AI specialist. As MIT’s research on choice architecture shows, a specialist’s real strength lies not in having the tool, but in the ability to critically evaluate what the tool suggests.

And this isn’t just a neat metaphor – it’s a research-confirmed fact.