• 8 Posts
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Joined 11 months ago
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Cake day: August 13th, 2023

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  • start of the article is fine I suppose but it gets pretty bad when it tries to evaluate impact

    He explains that “cutting-edge AI capabilities” are now available for every company to buy for the price of standard software. But that instead of building a whole AI system, he says many firms are simply popping a chatbot interface on top of a non-AI product.

    the implication here that there exists a viable company buying “cutting-edge AI capabilities” “for the price of standard software” and “building a whole AI system” with them is comical but goes unexamined

    "If I asked a room of people what their definition of AI is, they would all give a different answer,” he says. “The term is used very broadly and loosely, without any clear point of reference. It is this ambiguity that is allowing AI washing to emerge.

    no it isn’t. the article opens with a clear counterexample. if the ambiguity didn’t exist Amazon still could have lied about using ai, easily

    “AI washing can have concerning impacts for businesses, from overpaying for technology and services to failing to meet operational objectives the AI was expected to help them achieve.”

    ok, businesses can be impacted

    Meanwhile, for investors it can make it harder to identify genuinely innovative companies.

    ok, investors can be impacted… hard to be sympathetic to them but sure

    And, says Mr Ayangar: “If consumers have unmet expectations from products that claim to offer advanced AI-driven solutions, this can erode trust in start-ups that are doing genuinely ground-breaking work.”

    and consumers, ok, we’ve gone through all three types of entities that exist.

    wait, what about workers? what about people being policed? what about people trying to interact with government programs using these products? why is only the holy trinity of capitalism worth mentioning?

    But in the longer term, says Advika Jalan, head of research at MMC Ventures, the problem of AI washing may subside on its own.

    “AI is becoming so ubiquitous - even if they’re just ChatGPT wrappers - that ‘AI-powered’ as a branding tool will likely cease to be a differentiator after some time,” she says. “It will be a bit like saying ‘we’re on the internet’.”

    exercise: rewrite this passage to be about crypto











  • thinking about how I was inoculated against part of ai hype bc a big part of my social circle in undergrad consisted of natural language processing people. they wanted to work at places with names like “OpenAI” and “google deepmind,” their program was more or less a cognitive science program, but I never once heard any of them express even the slightest suspicion that LLMs of all things were progressing toward intelligence. it would have been a nonsequiter.

    also from their pov the statistical approach to machine learning was defined by abandoning the attempt to externalize the meaning of text. the cliche they used to refer to this was “the meaning of a word is the context in which it occurs.”

    finding out that some prestigious ai researchers are all about being pilled on immanetizating agi was such a swerve for me. it’s like if you were to find out that michio kaku has just won his fourth consecutive nobel prize in physics