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Russia’s Sberbank to Launch Advanced Reasoning Large Language Model

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Russia’s largest bank, Sberbank, is preparing to release an upgraded version of its large language model (LLM) called GigaChat, which will feature reasoning capabilities capable of scientific research and solving complex problems, according to First Deputy CEO Alexander Vedyakhin. He revealed that he is currently testing the beta version of this new model.

The enhanced GigaChat aims to handle sophisticated tasks in areas such as science, coding, and mathematics, similar to advanced LLMs launched by global leaders like OpenAI. Despite trailing U.S. and Chinese AI developers by six to nine months, Sberbank’s use of domestic cloud infrastructure and localized language adaptation makes GigaChat especially attractive to Russian corporate users.

Currently, about 15,000 Russian companies employ Sberbank’s GigaChat. Meanwhile, Yandex, a key domestic AI competitor, recently announced reasoning capabilities in its search engine, highlighting the competitive AI landscape in Russia.

Sam Altman Reveals Meta Offered $100 Million Bonuses to Lure OpenAI Talent

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OpenAI CEO Sam Altman disclosed that Meta has made massive $100 million bonus offers to some OpenAI employees as part of its aggressive strategy to build out its artificial intelligence capabilities. Speaking on the Uncapped podcast, Altman said Meta is trying to recruit top AI engineers with exceptionally large signing bonuses and compensation packages.

Despite the lucrative offers, Altman noted that none of OpenAI’s key talent have yet accepted Meta’s proposals. The move underscores the intense competition among tech giants to secure leading AI researchers amid a booming AI race.

Meta, which recently invested $14.3 billion in AI data-labeling firm Scale AI and hired its CEO Alexandr Wang to lead a new superintelligence unit, is looking to catch up with rivals like OpenAI and Google. The company has faced challenges including staff departures and delays in releasing open-source AI models.

Altman added that Meta views OpenAI as its “biggest competitor” in the AI space. Reuters could not independently verify the bonus claims and Meta has not commented.

Elon Musk’s xAI Seeks $4.3 Billion Equity Raise Amid Massive Spending Plans

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Elon Musk’s AI startup xAI is reportedly in talks to raise $4.3 billion in equity funding, according to Bloomberg News. This new capital would be in addition to a $5 billion debt funding round already in progress, as xAI intensifies efforts to scale its artificial intelligence capabilities.

Founded in 2023, xAI has already raised $14 billion in equity to date. However, the company is now seeking fresh investment as it anticipates spending approximately $13 billion in 2025 alone — more than $1 billion per month, much of it earmarked for hardware, compute infrastructure, and top-tier AI talent.

Key Highlights:

  • The additional equity would bring total fundraising efforts to over $23 billion.

  • The company’s flagship product is Grok, a chatbot integrated with X (formerly Twitter), which xAI acquired earlier this year.

  • According to Bloomberg, xAI’s valuation has surged to $80 billion as of Q1 2025, up from $51 billion at the end of 2024.

  • Musk’s startup may benefit from a $650 million rebate from a manufacturing partner, helping to offset some of its rising costs.

Context and Competition:

Musk previously co-founded OpenAI in 2015 but stepped away from the board in 2018. Since then, he has become increasingly critical of OpenAI’s direction and established xAI as a competitor focused on “truthful” and “beneficial” AI.

OpenAI is reportedly aiming to raise up to $40 billion at a $300 billion valuation, with SoftBank involved in its latest funding round.

Industry Implications:

The AI space has become one of the most capital-intensive sectors in tech, as firms race to secure the massive computational power and top-tier research talent required to train frontier models. xAI’s projected 2025 cash burn is among the highest in the industry, underscoring Musk’s ambitious push to catch up with, and possibly surpass, competitors like OpenAI, Anthropic, and Google DeepMind.