Categories

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Code ended the doubts on AI capabilities; Mythos may have made AI a need-at-any-price amid the supply crunch

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In the AI-world, the value of ideas is dropping, including in drug discovery. A detailed discussion on the changes afoot to find where the real money sits in the new world

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Our favorite "(some part of tech) is Dead" mantra has gone mainstream as a virality-generating title. Debates are shifting; opinions are not. History-gazing is back, and for all the wrong reasons

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Off-the-shelf agents may have far less audience than generally discussed as they work against the need for personalization

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At the heart of LLMs, every subdomain is a tug-of-war. No wonder, each new model gets a standing ovation followed by a quiet burial

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Before defending nuances, software stakeholders must reassess: Has anything changed? If so, have they?

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Two tables reveal what history-quoters fatally miss in their rearview take on software success.

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GenAI is not a product but a layer. Monetization requires bundling with products and ecosystems, with differentiation through integration

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AI isn’t just learning—it’s teaching, building, and improving itself at lightning speed. Soon, the circularity will spread beyond text models

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In the transition from Dragon to Snake, a crucial debate emerges in AI: the merits of massive scale versus adaptable efficiency.