Positive users find AI-fueled speculative thinkpieces insightful and fun to engage with, while negative users dismiss them as self-referential thinkslop and bot cycles worth shutting down the web.
Based on 24 visible X reactions from 34 accounts; directional sample.
Ask a question below.
Published answers will appear here.
@emollick This is peak 2026 😂 We’re literally using AI (Clipthreads) to turn long podcast discussions about AI into short clips… so more people can consume the speculation faster. The snake isn’t just eating its tail — it’s clipping it into 60-second viral segments. Loving the meta era
@emollick This has a feel of an X article and explains so much. Thanks for sharing.
@emollick full circle moment, just shut down the web and let these models vent to each other
@emollick Bouncing your thoughts off of 3+ AI models is fun!
@emollick This is peak 2026 😂 We’re literally using AI (Clipthreads) to turn long podcast discussions about AI into short clips… so more people can consume the speculation faster. The snake isn’t just eating its tail — it’s clipping it into 60-second viral segments. Loving the meta era
These AI-driven comments are a good reason to shut down the web.
@emollick Of thinkslop?
Fable, turn my tweet into a thinkpiece (this was pretty funny): There has never been a better time to have opinions about artificial intelligence. I say this with some authority, because I am currently having one. Consider the perfect storm we find ourselves in. On one side, AI has become the ideal subject for speculation: consequential enough to matter, ambiguous enough that no one can be definitively wrong, and moving fast enough that last month's take is safely forgotten before it can be checked against reality. On the other side, AI has become the ideal producer of speculation: tireless, fluent, and capable of generating a thousand words on "What GPT-5 Means for Democracy" in the time it takes a human columnist to open a blank document and feel bad about it. We have, in other words, achieved thinkpiece singularity. The subject and the instrument have merged. The snake is not merely eating its tail; it is publishing a 1,200-word reflection on what tail-eating means for the future of snakes. The Economics of Infinite Speculation The traditional thinkpiece economy ran on scarcity. There were only so many columnists, only so many column inches, only so many hours in which a professionally opinionated person could convert anxiety into prose. This scarcity imposed a kind of quality floor — not a high one, but a floor. Someone had to care enough to write the thing. AI removes the floor. The marginal cost of a take is now approximately zero, which means the supply curve for opinions about AI has gone vertical at the exact moment demand for opinions about AI has also gone vertical. Economists would call this a market clearing at infinite volume. The rest of us call it LinkedIn. But here is the twist that makes this era genuinely strange rather than merely noisy: AI is uniquely suited to writing about AI because AI writing about AI is the one genre where the author has genuine subject-matter proximity. When a language model speculates about what language models mean, it is, in some sense, the only writer with firsthand experience. The thinkpiece about AI written by AI is simultaneously the most derivative and the most authentic document of our time. No one knows what to do with this fact, so we mostly don't mention it. The Four Immortal Takes Every AI thinkpiece, human or machine authored, converges on one of four positions, which I will now enumerate in the traditional listicle format that signals seriousness: It changes everything. (Bullish, well-compensated, frequently keynoting.) It changes nothing. (Contrarian, tenured, secretly using it to grade papers.) It changes everything, and that's bad. (Prophetic, exhausted, right about something eventually.) The real change is the discourse itself. (Meta, insufferable, this essay.) The remarkable thing is that all four positions can be argued persuasively with the same evidence, which is why the genre is infinitely renewable. A benchmark result, a chatbot transcript, a layoff announcement — each is a Rorschach blot that faithfully returns whatever thesis you brought to it. AI writing tools have simply industrialized the Rorschach reading. You can now generate all four takes from the same news event before breakfast and A/B test which one performs. What Gets Lost It would be easy to end here, on the ironic note, because irony is the load-bearing wall of the genre. But the honest version of this essay has to admit something less comfortable: the flood is drowning something real. Buried in the infinite speculation is a small amount of actual thinking — people running experiments, reading papers, talking to workers whose jobs are changing, noticing things before they become narratives. That work was always rare. It is now rare and camouflaged, indistinguishable at a glance from its synthetic imitators, because the imitators have gotten very good at the surface features of insight: the confident hedge, the counterintuitive framing, the paragraph that begins "But here's the twist." (You may have noticed one of those a few paragraphs ago. The camouflage works in both directions.) The old signals of effort — length, fluency, structure, the presence of a numbered list — no longer signal effort. This is a genuine epistemic problem, and it will not be solved by detection tools or disclosure norms, because the issue was never really authorship. A lazy human take and a fluent machine take are equally worthless; a rigorous piece of thinking is valuable regardless of how many silicon collaborators touched it. The question was always whether anyone checked anything, and that question was hard to answer before the machines showed up. The Useful Version of the Golden Age So here is the optimistic reading, offered with the mandatory caveat that optimistic readings are position #1 and I have already mocked position #1. Golden ages of cheap production have historically been terrible for average quality and excellent for the tails. The printing press produced mountains of pamphlet garbage and also the scientific revolution. The blogosphere produced infinite noise and also a handful of writers who could never have gotten past a magazine's gatekeepers. The pattern is consistent: when publishing costs collapse, the middle of the distribution rots and the extremes flourish. If that pattern holds, the AI thinkpiece deluge is not the end of thinking about AI — it is the end of mediocre thinking about AI having any value at all. The take that could have been generated in eight seconds is now worth exactly what it costs to generate. What remains scarce, and therefore newly valuable, is everything a language model cannot do on its own: the experiment actually run, the data actually gathered, the prediction actually registered and later scored, the sentence that could only have been written by someone who was in the room. The Golden Age of thinkpieces, in other words, may turn out to be a gold rush in the classic sense: most of what glitters is pyrite, the real money is in selling shovels, and the durable fortunes go to whoever figures out what the territory is actually worth once the prospectors move on. Until then, the speculation will continue, at scale, about scale. Somewhere right now, an AI is drafting a response to this essay, and another AI is summarizing that response for a newsletter, and a human is skimming the summary and forming an opinion they will describe as their own. It is the most efficient opinion supply chain ever constructed. Whether anything is being thought is, appropriately, a matter of speculation.
Between having AI as a subject for infinite speculation and using AI as a writer to produce such speculation at scale, it is the Golden Age of thinkpieces.
@emollick And yet these are the least likely ones to be read or valued later.
Positive users find AI-fueled speculative thinkpieces insightful and fun to engage with, while negative users dismiss them as self-referential thinkslop and bot cycles worth shutting down the web.
Based on 24 visible X reactions from 34 accounts; directional sample.
Ask a question below.
Published answers will appear here.
@emollick Of thinkslop?
Fable, turn my tweet into a thinkpiece (this was pretty funny): There has never been a better time to have opinions about artificial intelligence. I say this with some authority, because I am currently having one. Consider the perfect storm we find ourselves in. On one side, AI has become the ideal subject for speculation: consequential enough to matter, ambiguous enough that no one can be definitively wrong, and moving fast enough that last month's take is safely forgotten before it can be checked against reality. On the other side, AI has become the ideal producer of speculation: tireless, fluent, and capable of generating a thousand words on "What GPT-5 Means for Democracy" in the time it takes a human columnist to open a blank document and feel bad about it. We have, in other words, achieved thinkpiece singularity. The subject and the instrument have merged. The snake is not merely eating its tail; it is publishing a 1,200-word reflection on what tail-eating means for the future of snakes. The Economics of Infinite Speculation The traditional thinkpiece economy ran on scarcity. There were only so many columnists, only so many column inches, only so many hours in which a professionally opinionated person could convert anxiety into prose. This scarcity imposed a kind of quality floor — not a high one, but a floor. Someone had to care enough to write the thing. AI removes the floor. The marginal cost of a take is now approximately zero, which means the supply curve for opinions about AI has gone vertical at the exact moment demand for opinions about AI has also gone vertical. Economists would call this a market clearing at infinite volume. The rest of us call it LinkedIn. But here is the twist that makes this era genuinely strange rather than merely noisy: AI is uniquely suited to writing about AI because AI writing about AI is the one genre where the author has genuine subject-matter proximity. When a language model speculates about what language models mean, it is, in some sense, the only writer with firsthand experience. The thinkpiece about AI written by AI is simultaneously the most derivative and the most authentic document of our time. No one knows what to do with this fact, so we mostly don't mention it. The Four Immortal Takes Every AI thinkpiece, human or machine authored, converges on one of four positions, which I will now enumerate in the traditional listicle format that signals seriousness: It changes everything. (Bullish, well-compensated, frequently keynoting.) It changes nothing. (Contrarian, tenured, secretly using it to grade papers.) It changes everything, and that's bad. (Prophetic, exhausted, right about something eventually.) The real change is the discourse itself. (Meta, insufferable, this essay.) The remarkable thing is that all four positions can be argued persuasively with the same evidence, which is why the genre is infinitely renewable. A benchmark result, a chatbot transcript, a layoff announcement — each is a Rorschach blot that faithfully returns whatever thesis you brought to it. AI writing tools have simply industrialized the Rorschach reading. You can now generate all four takes from the same news event before breakfast and A/B test which one performs. What Gets Lost It would be easy to end here, on the ironic note, because irony is the load-bearing wall of the genre. But the honest version of this essay has to admit something less comfortable: the flood is drowning something real. Buried in the infinite speculation is a small amount of actual thinking — people running experiments, reading papers, talking to workers whose jobs are changing, noticing things before they become narratives. That work was always rare. It is now rare and camouflaged, indistinguishable at a glance from its synthetic imitators, because the imitators have gotten very good at the surface features of insight: the confident hedge, the counterintuitive framing, the paragraph that begins "But here's the twist." (You may have noticed one of those a few paragraphs ago. The camouflage works in both directions.) The old signals of effort — length, fluency, structure, the presence of a numbered list — no longer signal effort. This is a genuine epistemic problem, and it will not be solved by detection tools or disclosure norms, because the issue was never really authorship. A lazy human take and a fluent machine take are equally worthless; a rigorous piece of thinking is valuable regardless of how many silicon collaborators touched it. The question was always whether anyone checked anything, and that question was hard to answer before the machines showed up. The Useful Version of the Golden Age So here is the optimistic reading, offered with the mandatory caveat that optimistic readings are position #1 and I have already mocked position #1. Golden ages of cheap production have historically been terrible for average quality and excellent for the tails. The printing press produced mountains of pamphlet garbage and also the scientific revolution. The blogosphere produced infinite noise and also a handful of writers who could never have gotten past a magazine's gatekeepers. The pattern is consistent: when publishing costs collapse, the middle of the distribution rots and the extremes flourish. If that pattern holds, the AI thinkpiece deluge is not the end of thinking about AI — it is the end of mediocre thinking about AI having any value at all. The take that could have been generated in eight seconds is now worth exactly what it costs to generate. What remains scarce, and therefore newly valuable, is everything a language model cannot do on its own: the experiment actually run, the data actually gathered, the prediction actually registered and later scored, the sentence that could only have been written by someone who was in the room. The Golden Age of thinkpieces, in other words, may turn out to be a gold rush in the classic sense: most of what glitters is pyrite, the real money is in selling shovels, and the durable fortunes go to whoever figures out what the territory is actually worth once the prospectors move on. Until then, the speculation will continue, at scale, about scale. Somewhere right now, an AI is drafting a response to this essay, and another AI is summarizing that response for a newsletter, and a human is skimming the summary and forming an opinion they will describe as their own. It is the most efficient opinion supply chain ever constructed. Whether anything is being thought is, appropriately, a matter of speculation.
Between having AI as a subject for infinite speculation and using AI as a writer to produce such speculation at scale, it is the Golden Age of thinkpieces.