Topic: diminishing returns

  • Arc Raiders' Mobility Skills Are Not What You Expect

    Arc Raiders' Mobility Skills Are Not What You Expect

    Arc Raiders introduces a permanent upgrade system with experience points for lasting character enhancements, but the inability to respec points and unclear perk descriptions are significant drawbacks. The Mobility tree's later skills often underdeliver, with minimal impact and steep diminishing r...

    Read More »
  • Ex-Cohere AI Lead Bets Against the Scaling Race

    Ex-Cohere AI Lead Bets Against the Scaling Race

    The AI industry is heavily investing in massive, costly data centers based on the "scaling" principle, which assumes that increasing computational resources will lead to superintelligent systems. Critics, including former Cohere VP Sara Hooker, argue that scaling large language models is reaching...

    Read More »
  • MMM: Why It Scares Marketers & Why You Need It

    MMM: Why It Scares Marketers & Why You Need It

    Marketing mix modeling (MMM) is a contentious tool in marketing, with enthusiasts seeing it as a solution to attribution issues and skeptics recalling flawed implementations due to conflicts of interest. MMM is regaining relevance due to privacy regulations and tracking restrictions, as it doesn'...

    Read More »
  • Human Eye Resolution Far Exceeds Previous Estimates

    Human Eye Resolution Far Exceeds Previous Estimates

    At typical living room distances, the human eye cannot fully resolve the pixel density of 4K or 8K TVs, making a standard 2K screen potentially comparable in visual experience for many consumers. The study found that the eye's resolution limit is higher than the traditional 60 pixels per degree, ...

    Read More »
  • AI Reasoning Progress May Soon Hit a Speed Bump, Study Shows

    AI Reasoning Progress May Soon Hit a Speed Bump, Study Shows

    AI reasoning capabilities may soon face limitations, with performance improvements expected to slow within a year, altering AI development trajectories. Reinforcement learning gains, though currently exponential, are projected to plateau by 2026 due to constraints like research overhead and archi...

    Read More »