151–160 of 223 posts
Earlier quoted context omitted.
The business-building is not zero sum, but the trading is zero-sum, and the societal purpose of the thing is to provide liquidity
theoretically equity trading is about distributing stonks most optimally so that productive companies get more and less productive ones get less, improving productivity of society as a whole
No. Below is my emotional opinion based on my own experience: Currently the models are totally helpless with plot and emotions. They make epistemic, logistical and temporal mistakes. But: They are very good in finding _your_ epistemic, logistical and temporal mistakes. They are great as adversarial reviewers. They can validate grounding. They can test voices. They can build complex parallel reconstructions representi…
If it will be true, then we should have many superb books by new authors at this point. But we do not. This is similar to observations that effect of AI on quality of apps in stores is mostly non-existent.
In short, the expected effect of AI will be more stuff, faster, not better. Are we seeing that? I think so.
I strongly disagree, for reasons that are different from what's discussed in the thread. It doesn't matter if LLMs can't hold a candle to some of the finest human writing. What matters is that before you become a world-renowned writer, you need to pay your bills, often for a long time. And that's what LLMs take away. All the mundane literature-adjacent works: journalism, translations, technical writing / corporate co…
The show will go on and humanity will probably split into those who work deeply with AI and create an AI economy, where AIs develop and interact with each other (much like cloud systems do today) and a human world where people compete with other people both in art and in sports with the best receiving rewards and recognition from other humans.
I strongly disagree, for reasons that are different from what's discussed in the thread. It doesn't matter if LLMs can't hold a candle to some of the finest human writing. What matters is that before you become a world-renowned writer, you need to pay your bills, often for a long time. And that's what LLMs take away. All the mundane literature-adjacent works: journalism, translations, technical writing / corporate co…
I also disagree with the author. The first careers I witnessed being negatively impacted by AI coming onto the scene .. just a couple years ago .. was tech writers. Source: my personal network of tech writer colleagues.
I strongly disagree, for reasons that are different from what's discussed in the thread. It doesn't matter if LLMs can't hold a candle to some of the finest human writing. What matters is that before you become a world-renowned writer, you need to pay your bills, often for a long time. And that's what LLMs take away. All the mundane literature-adjacent works: journalism, translations, technical writing / corporate co…
I also disagree with the author. The first careers I witnessed being negatively impacted by AI coming onto the scene .. just a couple years ago .. was tech writers. Source: my personal network of tech writer colleagues.
Earlier quoted context omitted.
LLM prose has degraded with each model update, the models are now being RL'd into wall of texts that only makes sense to other agents. I think its going to become more obvious as we move forward that is llm generated because labs seem to only be focused on tool-calling/agentic-coding environments, as that's the only thing that drives revenue. There may come players who focus on models that are good at writing for tec…
Yeah, this tracks with my experiments. About every 6 months or so for the past year-and-a-half I've tried using the "frontier" LLMs to as-near-as-possible autonomously write novel length stories, because I find it fascinating. When I had Gemini 2.5 write a novel, it wasn't really objectively "good" by any stretch of the imagination, but while the prose was very purple and full of cliches and, well, bad writing I gues…
It's possible to work around by generating short passages at a time with carefully constructed setup. But it's a real pain.
I strongly disagree, for reasons that are different from what's discussed in the thread. It doesn't matter if LLMs can't hold a candle to some of the finest human writing. What matters is that before you become a world-renowned writer, you need to pay your bills, often for a long time. And that's what LLMs take away. All the mundane literature-adjacent works: journalism, translations, technical writing / corporate co…
>A budding painter or a musician could support themselves off commissioned / commercial work while working on their grand opus... but now, the customers just prompt gen AI.
Are you joking? The only people I see using generative AI are either companies, shitposters, and spammers. Who are all these people who have stopped paying commissions and moved over to prompting AIs?
People seem to have very short memories. LLMs are easily capable of good writing. The fact that they are loaded up with obvious "tells" now is quite a recent development. One year ago, the writer Mark Lawrence posted an article [0] (featured on HN) describing how he generated 4 pieces of flash fiction with ChatGPT, asked 4 published authors (with a combined book sales of $15M) to also write a flash fiction piece, and…
This is something that constantly gets missed by HN in discussions about AI in the arts. There's the quality of the output and the essence behind the art itself. Humans want both [1][2] but these models only provide an output. Could ChatGPT output the next IT or Lord of the Rings , probably. However, once it's understood that it wasn't written by a human it loses all value. I use this quote by Kane Parsons a lot but…
> I am appalled at the absolute shit [LLMs] spew as prose. They always follow the same robotic cadence and cliches, and sprinkle the same tired vocabulary all around.
This claim is demonstrably untrue, and central to the author's overall thesis.