The difficulty level of children - ”It also runs the other direction. If you have two kids, and one kid is away (with a grandparent), it feels like having zero kids.”
Four Marketing Principles That Redefine Markets from Klaviyo’s CMO - ‘“Creating fear never works, because in the immediate, you can probably prompt people to take action because they’re like, ‘Oh my! I must do something,’ but it leaves a negative perception in their mind.” “You don’t become a beloved brand over a period of time."'
Skype is dead. What happened? - Ode to Skype, and complaining about Microsoft having no imagination to evolve it. It’d be helpful to read a detailed analysis of how and why.
ServiceNow’s newest AI agents bring intelligent automation to telecommunications firms - SiliconANGLE - ServiceNow’s AI agents analyze network data to diagnose and resolve issues, predict disruptions, and provide real-time explanations for unusual usage patterns, improving customer service and reducing complaints. // ”For instance, some of the agents are designed to service, test and repair networks by analyzing network data to diagnose any problems that occur. This analysis takes place in seconds, and they’ll immediately be able to work out the best way to fix things and coordinate the repair operation by scheduling tasks for the engineers responsible. // In addition, there are AI agents specifically designed to analyze network incidents. They respond to network alerts as soon as they happen and quickly dig down to understand the root cause. Once they’ve identified the problem, they’ll generate a resolution playbook that predicts any possible network disruptions that might occur before they impact customers. // The company also talked about its billing resolution agents, which can autonomously identify any unusual usage patterns and provide real-time explanations of the associated charges, as well as recommendations for customers to switch to a more cost-effective plan. ServiceNow says this can help telcos to improve transparency and reduce unexpected charges for customers, and will help to reduce the volume of billing complaints and call center volume.”
How AI ‘Reasoning’ Models Will Change Companies and the Economy - Lots of good thinking here, not least of which is a very delightful writing style. There’s about five quips in there that are fun. // Also notice that the benefits are accruing the individual here, the enterprises have yet to figure it out.
AI’s productivity paradox: how it might unfold more slowly than we think - The case that productivity effects of AI in the macro economy will be slow. Micro-economy (individuals) still looks good.
State of Java Survey Confirms Majority of Enterprise Apps Are Built on Java Performance, Superior Java Support - ”Typically, when the topic of developing AI or ML functionality arises, people think of Python. Perhaps surprisingly, the survey found that Java was used more often than either Python or other languages. In fact, 50% of organizations use Java to code AI functionality.”
Agentic definition from Azeem Azhar and Nathan Warren - Good simple AI vs. agentic AI framing: “Some view AI as a tool – a system that passively performs functions, while others see it as an agent – a system that actively pursues objectives, makes independent decisions and may develop instrumental goals such as self-preservation."
The Lights of My Life - Accent lighting and lamps used by one photographer.