5 Matching Annotations
  1. Aug 2026
    1. He told me that features he generated using Claude Code ended up crashing their product on two different occasions. His boss told him that if it happened one more time, he’d be fired. “I’ve never had quality issues like this before in my career.” The problem is that code produced by an AI agent looks reasonable, but can contain ‘hard-to-spot bugs’ that end up causing major problems. As a result, you should carefully review your agent’s output, but this is difficult. As the engineer told me, it’s “famously hard” to understand code you didn’t write yourself, so this extra step becomes “easy to just blow it off (especially when we are all trying to ‘10x’ our velocity).” Soon, systems start to break. “The coding harnesses are useful and make life as a developer easier,” he summarized, “but they also encourage laziness.” In response to these issues, this disillusioned engineer has returned to largely programming by hand.

      LLMs don't think and can't generate reliable code.

    1. Regarding the report on Uber for nursing: https://ainowinstitute.org/publications/uber-for-nursing

      Katie J. Wells quote from near the end of the interview:

      ...when you have very very low expectations for public government, Silicon Valley looks like an OK alternative... the technology in your pocket somehow looks more useful.

      This says so much about citizenship and the relationship between democracy, autocracy, and technology.

      Echoes the LinkedIn comment by Tim Appleby in response to the (incorrect) perception that LLM-based chatbots are better than a traditional search engine for search:

      While I agree that it isnt and should not be a search engine, it performs the function of finding source information on websites better than some of the actual search engines... Googling anything today results in 3 ads, 4 AI generated articles that zapped into existence the second you hit search with no sources and a fake author, and SEO-hacked keyword pages for things that are entirely irrelevant. When everything is this broken, its hard to say the less-sh*t option [i.e. a chatbot] isn't a viable one.

  2. Apr 2026
    1. In truth, nate relied heavily on teams of human workers—primarily located overseas—to manually process transactions in secret, mimicking what users believed was being done by automation

      Yet another example of "AI" being neither artificial nor intelligent.

  3. Jan 2026
    1. This weakness became impossible to ignore earlier this month, when Anita Natasha Akida (popularly called Tasha), a Nigerian reality TV star, called out Grok. People had been prompting the bot to generate edited versions of her photos, and Grok responded with humiliating and inappropriate images. Grok replied and apologized to her. It promised never to edit her images again. Minutes later, it broke that promise and generated another image mocking her.

      Because a LLM doesn't have any intelligence/cognitive ability or agency to "apologize", let alone "remember" it.

  4. Apr 2025
    1. misled investors by exploiting the promise and allure of AI technology to build a false narrative about innovation that never existed. This type of deception not only victimizes innocent investors

      The crime was misleading investors, not anyone else, which is very telling. The hype around "AI" - and actually hiring remote workers to do the job - and misleading customers/users doesn't matter.