That’s a great article, tanks for posting.
Cory has a way for getting right to the heart of things, and does so marvellously here. Great explanation of why the investments continue despite the dogshit economics of this industry.
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That’s a great article, tanks for posting.
Cory has a way for getting right to the heart of things, and does so marvellously here. Great explanation of why the investments continue despite the dogshit economics of this industry.
Cory Doctorow is an international treasure
So what is the alternative? A lot of artists and their allies think they have an answer: they say we should extend copyright to cover the activities associated with training a model.
And I am here to tell you they are wrong. Wrong because this would represent a massive expansion of copyright over activities that are currently permitted – for good reason.
He goes on to say that prohibiting AI works from being copyrighted and worker collective bargaining are better solutions, and I really agree with the arguments for this. I also liked this bit about how some of what remains past the bubble could be useful:
And we will have the open-source models that run on commodity hardware, AI tools that can do a lot of useful stuff, like transcribing audio and video; describing images; summarizing documents; and automating a lot of labor-intensive graphic editing – such as removing backgrounds or airbrushing passersby out of photos. These will run on our laptops and phones, and open-source hackers will find ways to push them to do things their makers never dreamed of.
Not just something but a ton of used RAM sticks and GPUs.
NPUs not GPUs, they target different metrics