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Brief

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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. These companies are measuring input. How many tokens are you consuming as a proxy for output, how much value are you creating. And those two things have no guar

    Companies are increasingly measuring AI performance by token consumption rather than actual value creation. This approach is likened to rewarding sales teams for driving miles instead of closing deals. The focus on input metrics like token usage, without a clear link to output value, is seen as a flawed performance indicator. AI

    IMPACT Critiques current AI performance metrics, suggesting a shift towards value-based evaluation over token consumption.

  2. It’s like NBA mascots being evaluated by how many t-shirts they fire out of their t-shirt cannons, but the t-shirts are made by Hermès. https://gizmodo.com/tech

    Tech employees are reportedly being evaluated on their speed of consuming large language model (LLM) tokens, a practice humorously dubbed "tokenmaxxing." This metric, likened to mascots firing luxury t-shirts from cannons, suggests a focus on rapid LLM usage rather than necessarily efficient or effective application. AI

    IMPACT This practice highlights a potential shift in how AI tool usage is measured, focusing on consumption speed over quality or efficiency.

  3. "We must negate the machines-that-think. Humans must set their own guidelines. This is not something machines can do. Reasoning depends upon programming, not on

    Steve Mookie Kong, an engineer and self-described "snarky troublemaker," posted on Mastodon advocating for human control over artificial intelligence. He argues that machines cannot establish their own guidelines, as reasoning is tied to programming, not hardware. Kong asserts that humans are the ultimate programmers and must "dump" elements that degrade humanity. AI

    "We must negate the machines-that-think. Humans must set their own guidelines. This is not something machines can do. Reasoning depends upon programming, not on

    IMPACT Expresses a viewpoint on the necessity of human oversight in AI development and deployment.