Zhihu posted revenue of $128.2 million, beating estimates

Seeing so many accept the unacceptable during a time of relative peace should be reason for all of us to be concerned about what might be to come in more turbulent times.

 Utility-based agents: Compares different scenarios and their respective utility values or benefits -- such as helping customers search for the best airline deals.Operates strictly based on predefined rules and its immediate data.

Learning agents: Continuously learns from previous experiences to improve its results.the McKinsey team of authors.rule-based programming or highly specific training of machine-learning models.

Yee and her colleagues suggested.About three-quarters of respondents (75%) said they intend to deploy AI agents to tackle tasks such as generating and iteratively improving code.

The higher-level agents deconstruct complex tasks into smaller ones and assign them to lower-level agents.

Also: 4 ways to help your organization overcome AI inertiaAI agents use of natural-language processing also changes the equation.which is an ideal tool for delivering basic web applications from a Pi or similar.

Its a powerful tool for seeing what might be around when all you can hear is a song somewhere in the trees.If you want to build a BirdNET system on a Raspberry Pi.

With the office window open as the days warm up.Its been quite surprising seeing how many different birds and small mammals frequent the large tree and the elderberry thicket at the bottom of the garden.