
Transformer Architecture Bottlenecks Become Apparent, Four Tech Paths Emerge, Who Will Be the Next AI Focal Point?
Google's 2017 Transformer model revolutionized AI, but its limitations are now apparent, driving startups to explore new paths to overcome bottlenecks in computation and energy consumption.

Keep's Revenue Growth Stalls in 2026
Keep's revenue growth stalls at 0.4% year-over-year in 2026, with monthly active users plummeting. The company seeks new growth via AI after cutting low-margin businesses.

Productivity Inflation: Why Everyone's More Efficient But Not Earning More
Companies are leveraging AI to boost efficiency, but the benefits are being absorbed by the market, rather than translating to higher earnings. This phenomenon, known as productivity inflation, occurs when increased efficiency is offset by rising costs. As a result, the value of money decreases, even if the amount remains the same.

Trust is becoming an API
As AI entities shift from recommendation to decision-making, a lack of trust mechanisms is causing costly illusions, with $2.3 billion in losses. Companies must now compete to be trusted after machine verification, structuring and verifying core trust elements to qualify.
HuxiuZheng Guoguo, Qiu Luming and Others: What is the Purpose of Reading in the AI Era?
HuxiuCarriers' AI Transformation: Not Building General Models, But Pipelines for Them?
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