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48 articles
13–24 of 48 articles
The article examines how much faith we place in AI's ability to say no, similar to the tropes found in science fiction stories. This question becomes increasingly important as intelligent systems gain more autonomy in decision-making.
Relevance: 3 / 5
Open the original article in a new tabStanford PhD student Samuel King used generative AI to propose genetic blueprints for microscopic viruses. This development raises important questions about the potential creation of AI-designed life forms. The article previews an interview with the researcher discussing the background of this technology.
Relevance: 3 / 5
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Open the original article in a new tabEnglish-language content
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Enterprise AI agents often suffer from a lack of true knowledge rather than just data. To reason and make effective decisions, they need to understand what data means within the context of individual organizations.
Relevance: 4 / 5
Open the original article in a new tabFor enterprises, the question is no longer whether predictive models outperform statistical forecasts. The new challenge is enabling autonomous systems to act on their own conclusions without drifting from business intent.
Relevance: 4 / 5
Open the original article in a new tabThe article explores the paradox of how people constantly criticize artificial intelligence while continuing to use it in everyday life. Through insights from a startup CEO, it highlights the complex and often contradictory relationship society has with AI. This tension reveals a deep fascination alongside public skepticism.
Relevance: 4 / 5
Open the original article in a new tabYossi Matias, Vice President of Google Research, explores how AI is reshaping biology, infrastructure, and science. The greatest impact of the technology may come when it intersects with various other fields.
Relevance: 3 / 5
Open the original article in a new tabEnterprise AI is no longer a future ambition and is now in full operational flight. Model capabilities are advancing faster than organizations can absorb while performance costs continue to fall. Globally, AI investments are projected to reach $2.5 trillion in 2026.
Relevance: 3 / 5
Open the original article in a new tabThe article examines how large language models (LLMs) lack true logical reasoning capabilities. Through examples like famous unusual moves in the game of Go, the author illustrates the fundamental limitations of how artificial intelligence operates.
Relevance: 4 / 5
Open the original article in a new tabRelevance: 3 / 5
Open the original article in a new tabEnglish-language content
When adopting artificial intelligence, conversations often focus on using the most expensive and capable models available. However, maximum capability is not always necessary for project success. This article explores how organizations can turn AI into a profitable asset rather than a costly expense.
Relevance: 4 / 5
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