Building Artificial Intelligence While Learning to Understand My Own Mind

Meta is looking within to find new training data for its AI models. Its Model Capability Initiative (MCI), announced in April 2026, captures mouse movements, keystrokes and occasionally screenshots to train AI models on how humans navigate around the computer while performing daily tasks. Google, LinkedIn and Wikipedia are among the sites used to…

MongoDB is taking aim at two of the main problems preventing enterprises from moving AI projects into production with the launch of its latest capabilities. While not the only barriers to successfully building agents and other AI applications, inaccurate data retrieval and infrastructures that don’t enable enterprises to meet regulatory compliance requirements are among…

Data readiness is still underestimated AI has exposed an uncomfortable truth: many enterprises are not as data ready as they think. Data is often duplicated across platforms, described differently by each team, governed inconsistently and refreshed on different schedules. Access rules may be clear in one system but unclear in another. Even basic business definitions…

[Verse 1] I used to say I was building. That was the first clean lie. Not cruel, not clever, just rent for my pride. Building sounds like sovereign, like tools and a plan, like a name on the deed and the deed in my hand. But I was learning the maze, where the bright floors…

Alphabet earnings test AI bets, sway South Korea semiconductor sentiment – CHOSUNBIZ  Chosunbiz

Machine learning promises insights that can help businesses boost customer retention, combat fraud and anticipate the demand for products or services. However, deploying the technology — and realizing the anticipated benefits — can prove difficult. The thorny issues of introducing any new tool come into play, such as insufficient investment and lack of user…