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My photo editor tool now has a button to automatically remove backgrounds, a cool trick. It's at least more useful than crypto. Chat GPT is a fun party trick,

My photo editor tool now has a button to automatically remove backgrounds, a cool trick. It's at least more useful than crypto. Chat GPT is a fun party trick, but I'll never trust the output. That's the problem with AI: you can't trust the output. Maybe generative AI is useful for the rich so they can fire even more people in the creative space, generating shareholder value. Let's play a game: what do you think the next IT hype will be post AI? P.S. can somebody calculate how much energy resources have been wasted on AI and how much good this stuff has done for the world?

dpflan 2y ago
AI lets executives sell vision of cheaper yet more productive futures which is what all stock price really depends upon short term.
iLoveOncall 2y ago
> My photo editor tool now has a button to automatically remove backgrounds, a cool trick. It's at least more useful than crypto. Okay but this has nothing to do with the "AI revolution" the article talks about. This is not related to GenAI at all and is something that has existed for close to a decade.
emseetech 2y ago
| That's the problem with AI: you can't trust the output. Look at how quickly after diffusion models released that "looks like AI" became an insult. An LLM that accelerates the work of a domain expert makes sense to me. A team of post-doc infectious disease researchers using an LLM continuously trained on up-to-date medical research papers and prompted as a sort of digital Watson to their collective Sherlock works because all humans involved are highly trained to filter out the nonsense, the hallucinations, the bullshit. And the LLM doesn't have to be crafted to be obsequious and PR friendly. But there aren't enough high-level domain experts like that to build a unicorn on. So instead, everyone decided to take these LLMs and push them on the general public. And you might think I'm going to say the general public isn't capable of learning the domain enough to separate the wheat from the chaff, but it's more that they're not willing to. And general purpose startups are building user interfaces where they either expect them to (best case scenario) or pretending they won't have to (worst case and much more common scenario). Unless that UX problem is solved, there are going to be some very unhappy consumers going forward.
- mark_l_watson 2y ago
  You make an important point that is fortunately becoming common knowledge: interactive use of LLMs requires a domain expert who evaluates results to verify and modify as appropriate. I am an old man so this may not be typical: I feel like I get more coding and research done using GitHub CoPilot and integrated search products like Perplexity, but I get tired more quickly because I feel like I am working harder. Perhaps a less known truth: it is difficult building applications that use LLMs in complex ways without a human in the inner loop.
echelon 2y ago
GenAI for audio and video will be huge. It continues to improve week by week. GenAI for text and intelligence has hit a wall.
- iLoveOncall 2y ago
  > GenAI for audio and video will be huge Really? We have absolutely great GenAI models for image generation that allow you to make any image you want in any quality you want, and despite this the only use case so far has been porn. I can't think of any reason to believe that video generation will turn out differently.
easyThrowaway 2y ago
The worst enemy of AI is the current industry climate. Tech has become a speculation-driven sector. 15 to 20 years ago what we call now "AI" would've been the logical follow up to automation technologies like Apple Automator, IFTTT, node-based visual interfaces. A solid and slightly groundbreaking advancement step in how we use our devices. It would've been a cool 15-minutes long demo on a WWDC and then we would've moved on with our lives, while using it on common, mundane, real-world problems. But today every technological progression has to be an earth-shattering revolution, and every company needs to become the next multi-billion unicorn carried by a pseudo-messianic leaderships by the likes of Musk, Altman, Holmes or Bankman-Fried. Otherwise you can completely forget those sweet, sweet funding money.

dpflan 2y ago

AI lets executives sell vision of cheaper yet more productive futures which is what all stock price really depends upon short term.

iLoveOncall 2y ago

> My photo editor tool now has a button to automatically remove backgrounds, a cool trick. It's at least more useful than crypto. Okay but this has nothing to do with the "AI revolution" the article talks about. This is not related to GenAI at all and is something that has existed for close to a decade.

emseetech 2y ago

| That's the problem with AI: you can't trust the output. Look at how quickly after diffusion models released that "looks like AI" became an insult. An LLM that accelerates the work of a domain expert makes sense to me. A team of post-doc infectious disease researchers using an LLM continuously trained on up-to-date medical research papers and prompted as a sort of digital Watson to their collective Sherlock works because all humans involved are highly trained to filter out the nonsense, the hallucinations, the bullshit. And the LLM doesn't have to be crafted to be obsequious and PR friendly. But there aren't enough high-level domain experts like that to build a unicorn on. So instead, everyone decided to take these LLMs and push them on the general public. And you might think I'm going to say the general public isn't capable of learning the domain enough to separate the wheat from the chaff, but it's more that they're not willing to. And general purpose startups are building user interfaces where they either expect them to (best case scenario) or pretending they won't have to (worst case and much more common scenario). Unless that UX problem is solved, there are going to be some very unhappy consumers going forward.

mark_l_watson 2y ago
You make an important point that is fortunately becoming common knowledge: interactive use of LLMs requires a domain expert who evaluates results to verify and modify as appropriate. I am an old man so this may not be typical: I feel like I get more coding and research done using GitHub CoPilot and integrated search products like Perplexity, but I get tired more quickly because I feel like I am working harder. Perhaps a less known truth: it is difficult building applications that use LLMs in complex ways without a human in the inner loop.

echelon 2y ago

GenAI for audio and video will be huge. It continues to improve week by week. GenAI for text and intelligence has hit a wall.

iLoveOncall 2y ago
> GenAI for audio and video will be huge Really? We have absolutely great GenAI models for image generation that allow you to make any image you want in any quality you want, and despite this the only use case so far has been porn. I can't think of any reason to believe that video generation will turn out differently.

easyThrowaway 2y ago

The worst enemy of AI is the current industry climate. Tech has become a speculation-driven sector. 15 to 20 years ago what we call now "AI" would've been the logical follow up to automation technologies like Apple Automator, IFTTT, node-based visual interfaces. A solid and slightly groundbreaking advancement step in how we use our devices. It would've been a cool 15-minutes long demo on a WWDC and then we would've moved on with our lives, while using it on common, mundane, real-world problems. But today every technological progression has to be an earth-shattering revolution, and every company needs to become the next multi-billion unicorn carried by a pseudo-messianic leaderships by the likes of Musk, Altman, Holmes or Bankman-Fried. Otherwise you can completely forget those sweet, sweet funding money.