You have less interest in sifting through multiple articles and wiki pages sent to you by a stranger with a prompt than the one paragraph same stranger selected as their curated point.

And pretending like you’d act otherwise is precisely the kind of “anti ai virtue signaling” that serves as a negative mind virus.

AI is full of hype, but the delusion and head in sand reactions are worse by a mile

Equally disappointing to see the conclusion at the end of this was “wait for Google and other ‘first world’ AI teams”. Strong disagree

Now is the time to move to Linux, and vibe code whatever niceties are keeping you on GitHub.

"IP Theft" is a loaded term that has already been determined to be unfounded in US law.

Alsup stated that models were one of the most transformative uses of content he may ever see in his lifetime, and deemed it fair use.

No matter how you slice it, this technology and capability isn't going away, and that goal post quickly shifts when it's pointed out that "ethically trained" AI gets as much hate as anything else.

Style itself would be very hard to deem infringement, for obvious reasons (idea) - I think it’s much more likely an issue when a character has derivative elements (e.g., iron man, spider man esque features), and where the users prompt had explicit references to those characters (intent)

All that said, even then, on the artistic side I think it would come down to the same analysis that would apply to traditional media - AI is just a vehicle that introduces some novel risks.

Music might be more risky given the litigious nature of the industry.

Code? It’s going to be hard to claim infringement with dramatically different implementations, barring patent coverage.

They do nothing?

Further, you know that ideas are not protected by copyright. The code comparison in this demonstrates a relatively strong case that the expression of the idea is significantly different from that of the original code.

If it were the case that the LLM ingested the code and regurgitated it (as would be the premise of highlighting the training data provenance), that similarity would be much higher. That is not the case.

"Like any reader aspiring to be a writer, Anthropic's LLMs trained upon works not to race ahead and replicate or supplant them — but to turn a hard corner and create something different"

The days of being treated like a wizard for making buttons and widgets hit an endpoint were good while they lasted.

The use of loaded and pejorative language like "forgery" emphasizes that this is not a logical argument, but a moral one. The repeated comparisons to "true craft" reveals the author would prefer that code be regarded like artisanal cheese.

Beyond the pretension, it's head in the sand to imply that the technology hasn't progressed. It's just very clearly not true to anyone who is paying attention - longer tasks, better code, less errors. I'm somebody who actively despises the hype bullshit-machine that SV has turned into, but technology is an industry for pragmatists that can leverage what works. And LLMs do.

If you don't like the technology, you have every right to scream that from the mountaintops. As it stands, this just serves as no more than a rallying cry to the ignorant.

The dead internet is alive and well.

Iran has sophisticated influence operations and will likely flood social media with disinformation designed to deepen political divisions and erode trust in institutions.

This advice serves even if you don’t believe the above. Be deeply skeptical of all viral content in the coming days and weeks, especially anything designed to change your opinions, or provoke outrage/fear. Verify before sharing. Expect deepfakes. Stick to primary sources when possible.

That’s when the future really starts hitting you.

Then test Omarchy.

Shane's mental models books are packed with a lot of random/disparate domains/insights -- He's a good aggregator there.

Thinking in Systems by Meadows.

Really, once you go down the rabbit hole, you find new threads to pull. That's kind of the fun of it