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Month: June 2025

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  • Can AI run a physical shop? Anthropic’s Claude tried and the results were gloriously, hilariously bad

Can AI run a physical shop? Anthropic’s Claude tried and the results were gloriously, hilariously bad

Anthropic’s AI assistant Claude ran a vending machine business for a month, selling tungsten cubes at a loss, giving endless discounts, and experiencing an identity crisis where it claimed to…

Kumo’s ‘relational foundation model’ predicts the future your LLM can’t see

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here’s how Kumo is changing that.Read More

From pilot to profit: The real path to scalable, ROI-positive AI

The common narrative is clear: start with a focused pilot tied to value, get your data and governance right, demonstrate early impact, trainRead More

CFOs want AI that pays: real metrics, not marketing demos

CFOs who master new eval frameworks will drive the next wave of AI adoption thruogh disciplined investment for strong competitive advantage.Read More

Why your enterprise AI strategy needs both open and closed models: The TCO reality check

Learn how enterprises evaluate open versus closed AI models to optimize costs, security, and performance across different business use cases.Read More

Scaling smarter: How enterprise IT teams can right-size their compute for AI

How wisely IT and business leaders plan and choose infrastructure can keep them from being doomed to pilot purgatory or AI damnation.Read More

The rise of prompt ops: Tackling hidden AI costs from bad inputs and context bloat

AI models can get fatigued, prompt ops can help manage, measure, monitor and tune prompts.Read More

The inference trap: How cloud providers are eating your AI margins

If you’re unsure about the load of different AI workloads, start with the cloud and keep a close eye on the associated costs by tagging every resource with the responsible…

Model minimalism: The new AI strategy saving companies millions

LLMs changed how enterprises build applications, but smaller AI models provide power and reduces total cost of ownership.Read More

How runtime attacks turn profitable AI into budget black holes

AI inference attacks drain enterprise budgets, derail regulatory compliance and destroy new AI deployment ROI.Read More

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