Super Etera Model Raises Questions About Sam Altman's Credibility

The article discusses the growing global expenditure on the development of Artificial General Intelligence (AGI), with four major American companies—Microsoft, Amazon, Alphabet (Google's parent company), and Meta—planning to spend around $725 billion during 2026 alone on data centers, chips, networks, and energy stations. This represents an increase of approximately 77% compared to the previous year, when spending reached $410 billion. The declared goal of this investment is to achieve Artificial General Intelligence, which is presumed to possess capabilities that surpass human performance in most economically valuable tasks, through advanced AI models such as "Astrea," launched by OpenAI. This goal, known for its ambiguity, faces significant definitional challenges. The definitions vary between market-based measures (evaluating the economic system's performance) and scientific criteria rooted in knowledge and skills. This variability makes the endpoint of the race unclear. The amount of spending and the level of technological progress have become the main indicators of how close companies are to achieving AGI, despite the absence of a reliable test or specific benchmark definitively confirming this achievement. Recently, it was announced that the Astrea model has reached levels of Artificial General Intelligence, according to statements from chip manufacturers and development companies. However, this accomplishment is difficult to measure precisely or verify independently, and the standards for progress tend to rely more on financial and promotional factors rather than on clear, objective testing.

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