The best response to AI slop, infinite advice, and online noise is from Robin Williams

Jay Acunzo · article · 2026-06-18 source ↗ Reader 🖥️

Practical-dominant but mixed: the payload is an exhortation (draw on your own life; keep creating; don't surrender to the noise), resting on a theoretical claim about what is the case (knowing about a thing is categorically different from living it; art, unlike science, is non-reproducible). · A narrative / close-reading essay: a fictional film scene (Good Will Hunting) and, then, the acting behind it are used as extended analogy and load-bearing evidence to carry a second-person motivational argument. Rhetorical, escalating in concreteness ('let's make it concrete'), and it ends by re-performing the scene's lines addressed to the reader. — The Good Will Hunting bench scene is not decoration; it is the essay's central exhibit and the essay mimics its structure, closing with a rewrite of Sean's 'your move, chief' speech aimed at the reader. Watch the scope: Acunzo's native habitat is creators/marketers, but he explicitly universalizes ('it's all art... I don't care if you write blog posts for a Fortune 500') — a move that collides with his own art-vs-science distinction and is the seam where the argument thins into a truism.

Structure

Key terms

• AI slop / noise / infinite advice (collapsed into one category)
  Not three problems but one: secondhand information — endless voices and tools selling you 'secrets' and 'magic', producing lifeless output ('a script the creator forgot to act') whose words are correct but un-lived.
• Firsthand / lived experience ('little life moments', your own 'LLM')
  The actual living of war, love, loss, failure — the internal well an artist draws on, 'sensed more than consciously considered'; Williams was 're-living, not remembering.' Coinage: AI has large language models, people have 'little life moments.'
• Knowing vs living (expertise vs wisdom / theory vs experience / information vs experience)
  'The difference between expertise and wisdom, between theory and experience, between knowing and living.' AI (and Will) 'knows'; it 'does not feel nor experience. Because it does not live.'
• Art vs science
  Science is the search for external truth and is reproducible (Scientist #2 would find the same thing). Art is the internal synthesis of truth into meaning and is non-reproducible (no two artists, given any resources, land on the same creation).
• Reading the room vs reading the internet
  AI 'has read the internet' but 'can't read the room' — it lacks the embodied, contextual, felt sensing that comes only from living.
• 'A script the creator forgot to act'
  Online work whose words are all present and technically correct but lifeless, because the creator did not bring their own life to them — the phenomenology of slop.

Propositions

• explicitAI slop, online noise, and infinite advice content are not three problems but one — all are secondhand information (knowing *about*), categorically distinct from firsthand lived experience.conf: high
• explicitcorroboratedThere is a real, categorical difference between knowing about a thing and living it: reading about war is not being in war, reading Oliver Twist is not being an orphan, expertise is not wisdom.conf: high
  supports ←Uten kontroll · p9 — Robin-Williams essay: there is a real, categorical difference between knowing about a thing and living it. Refseth's cocaine analogy ('you don't ask a high addict how he's doing') applies exactly that distinction to research epistemics — firsthand lived experience of addiction reveals a harm that aggregate screen-time data cannot see. Cross-domain (artistic value vs. addiction research) but the shared kernel is lived-over-secondhand knowledge.
• explicitAI 'knows' (it has read the internet) but does not feel, experience or live, and therefore cannot 'read the room.'conf: high
  supportsAI Alignment Is Impossible · p13 — Shared premise, not shared conclusion: the alignment doc's 'AI does not and cannot possess anything functionally equivalent to human emotional experience' is exactly Acunzo's 'It knows. It does not feel nor experience. Because it does not live.' The alignment doc runs this into moral motivation; Acunzo runs it into creative meaning. Edge sits at the common premise about AI's lack of felt/lived experience.
• explicitAn artist's distinctive work is produced by drawing — largely unconsciously — on their own lived experience; Robin Williams's performance came from re-living his life, not remembering it, and no other actor would have performed the same script that way.conf: high
  supportsWhat we lose when AI writes for us · p7 — Franco: recognizable authorial voice is evidence of a Self being expressed and is what readers connect to. Acunzo supplies the source of that voice — it comes from the creator re-living their own experience ('how YOU see the world separates you'), giving Franco's voice-as-Self claim its causal origin.
• explicitArt differs from science in being non-reproducible: science searches for external truth that anyone would eventually rediscover, whereas art is the internal synthesis of truth into meaning, and because no two people live the same life, no two artists would independently produce the same work.conf: high
  supportsYou can't unit test for taste · p11 — Tryggvason (implicit): correctness is not quality — a correct-by-the-numbers output can be tasteless. Acunzo gives the creative-side version: art is 'not just correctly arrange information for dissemination' — distilling to a science (correctness) versus elevating to an art (meaning). Same wedge between correct/reproducible and good, approached from creation rather than evaluation.
• explicitAll knowledge work — a Fortune-500 blog post, an HR podcast, a book on storytelling, a museum statue — is 'art' in this sense, because making sense of human feeling and turning it into something others can access flows through the individual.conf: high
• explicitA commercial interest — tool vendors and advice-sellers — profits by convincing people their lived experience is worthless so they will instead buy others' 'secrets' and 'magic' AI tools.conf: high
• explicitcorroboratedMuch online content today is 'a script the creator forgot to act' — the words are present and correct but lifeless, because the creator did not bring their own life to them.conf: high
  supportsEating My Own Dog Food: How I Used the Framework to Write the Post About the Framework · p7 — Franco/dog-food: 'a framework generated from a prompt reads like one; the seed idea must be human-originated to carry authentic weight.' Acunzo's 'a script the creator forgot to act — the words are there, but they're lifeless' is the same claim about the perceptibility of un-lived, non-human-seeded content.
  supports ←How to write with style · p3 — Acunzo p8 diagnoses lifeless content as 'a script the creator forgot to act' — words present and correct but dead because the creator did not bring their own life to them. Vonnegut's positive form is p3: it is 'genuine caring, and not your games with language,' that makes style compelling. Same underlying claim from opposite sides (presence vs. absence of genuine personal investment). Caveat: Vonnegut's 'caring about a subject' is not strictly identical to Acunzo's 'firsthand lived experience' — the overlap is the animating personal investment, not the specific source of it.
• implicitLived experience is transmissible: it can be synthesized into 'meaning others can access', so a creator's firsthand experience, filtered through a distinctive voice, becomes valuable work for an audience.conf: high
• implicitThe essay exempts its own distinctive-voice secondhand advice — and its use of a fictional, transcribed movie scene — from the 'secondhand slop' it condemns, silently reclassifying secondhand material transmitted through a distinctive personal perspective as firsthand and valuable.conf: high
• implicitScarcity confers value: because lived experience is unique and non-reproducible, work grounded in it is a durable competitive moat that AI and commoditization cannot erode — 'how YOU see the world separates you.'conf: high
• implicitFirsthand and secondhand are treated as a hard binary rather than a spectrum: the essay admits no middle ground where human work recombines absorbed (secondhand) inputs, or where AI could itself prompt, augment or occasion genuine firsthand experience.conf: medium
• implicitcontestedThe human advantage over AI is enduring and located in embodied lived experience, not merely a current capability gap that better models will close.conf: medium
  contradictsWhy cultivating agency matters more than cultivating skills in the AI era | Max Schoening (Head of Product, Notion) · p14 — Schoening entertains that taste may not be an enduring human advantage over AI (the input-idea-to-reaction loop resembles backpropagation). Acunzo asserts the opposite conclusion — the human advantage is durable and located in non-reproducible embodied lived experience — without engaging the backprop mechanism; he relocates the advantage rather than defending its permanence.
  supportsSWLW #701: Gazing at the misty AI Frontier, From Vibe Coding to Agentic Engineering, and more. · p6 — swlw-701: the next decade's leaders will be differentiated by emotion, ethics and connection — not data and logic, which AI commoditizes. Acunzo makes the same claim in the creator register: what AI commoditizes is knowing/information; what endures is lived, felt experience.

Arguments

Narratives

• The Good Will Hunting park-bench scene: Sean (Robin Williams) tells Will (Matt Damon) he can quote every art book but has never smelled the Sistine Chapel, held his dying best friend's head, or known real loss — 'you presume to know everything about me because you saw a painting of mine.'
  → The primary exhibit and emotional proof that knowing-about is not having-lived; Will is explicitly recast as 'the human equivalent of ChatGPT', converting the scene into the AI-vs-human thesis. Its lines are re-performed in the coda, addressed to the reader.
• Acunzo's own wedding photos, taken at the exact bench visible in the scene ('if you pause the movie at just the right moment...').
  → A small firsthand detail that performs the thesis: he layers his lived experience onto a borrowed artifact — quietly enacting (and unwittingly exemplifying) the secondhand-to-firsthand 'conversion' his whole argument silently depends on.
• Robin Williams the actor, not Sean the character: any actor was handed the same script, but none would have performed it 'like that'; the performance drew on his own life — an imagined childhood scuffed knee, a lost love — 're-living, not remembering.'
  → The load-bearing bridge from 'experience matters for living' to 'experience is the source of distinctive work' — the analogy that transfers the claim onto the reader's own output.
• The eye-rolling vignette: an artist protests 'AI has never fallen in love... failed then persisted', and people roll their eyes; Acunzo concedes it 'feels squishy and easy to dismiss', like a gnat on a park bench, then tries to make it concrete.
  → Pre-empts the reader's (and a rigorous skeptic's) suspicion that the claim is soft, signaling self-awareness that it risks being a truism — while not actually resolving the softness.
• The science counter-example: 'scientific discovery would happen regardless of who does it' — Scientist #2 would find the same truth Scientist #1 did.
  → The contrast case that grounds art's non-reproducibility — but also an explicit admission that some work is a reproducible search for external truth, i.e. NOT art, in tension with his later 'it's all art.'

Questions addressed

• ✅ What makes human work still matter in an era of AI slop and infinite content?
  Firsthand lived experience filtered through a distinctive personal perspective, which AI — knowing but not living — cannot supply.
• ✅ Why can't AI replace the creator?
  AI knows but does not feel, experience or live; genuine work is the internal synthesis of a unique life into meaning, and is therefore non-reproducible.
• ⭕ How does one actually convert lived experience into distinctive work?
  Left open and half-acknowledged: he says 'draw on your own LLMs' and 'how YOU see the world', but also that the process is 'sensed more than consciously considered' and even the artist 'probably couldn't' explain it — so no method is offered.
• ⭕ If only firsthand experience counts, isn't this essay — and everything the reader learns from it — itself secondhand?
  Never raised. The escape hatch (a distinctive voice converts secondhand into firsthand) is used throughout but never examined, so the recursion goes unaddressed.
• ⭕ Is firsthand-vs-secondhand a binary or a spectrum, and can AI prompt or augment genuine firsthand experience?
  Treated as a hard binary; the possibility that AI occasions real experience, or that all human work recombines secondhand inputs, is not considered.

Gaps

• incompleteNo mechanism for how lived experience becomes transmissible work. The load-bearing premise — that experience filtered through a distinctive voice 'turns into meaning others can access', converting secondhand to firsthand — is asserted but never examined, and the recursion it creates (the reader receiving his transmitted meaning is then holding secondhand experience) is never addressed. This is the essay's central unexamined move and the point where an anti-hype reader will feel the truism.
  Read next: Read the corpus's transmission-problem thread — ki-utvikling-og-folelser (how the next generation acquires craft), you-cant-unit-test-for-taste (where taste comes from / how it transmits) and svenson-attention-real-skill-ai-prompts (names the decisive skill, offers no method) — alongside Polanyi on tacit knowledge (does lived experience transmit at all?). Frame as infrastructure for getting lived experience *through* into distinctive, transmissible work, not as motivation.
• incompleteThe essay is secondhand advice, built on a secondhand fictional artifact, arguing against secondhand material; it survives only by silently reclassifying 'secondhand-through-a-distinctive-voice' as firsthand. That substitution relocates the real claim from 'firsthand experience matters' to 'distinctiveness of perspective matters' — two things that can come apart (and that AI-augmented work might also carry) — but the move is never made explicit or defended.
  Read next: Read on performative / self-referential contradiction and test whether distinctiveness of voice, not novel firsthand experience, is the actual operative variable. Cross with eating-my-own-dog-food (human-originated seed vs prompt-generated framework) and franco-what-we-lose-when-ai-writes (voice as evidence of a Self) to see whether 'voice' can be specified independently of 'lived experience.'
• incompleteFirsthand vs secondhand is treated as a hard binary, but all human work recombines absorbed (secondhand) inputs — everyone's 'little life moments' are themselves saturated with others' content — and AI can also prompt, augment or occasion genuine firsthand experience. The essay admits no continuum and no role for AI as a spur to real experience rather than a substitute for it.
  Read next: Read dawkins-claude-delusion (which flags exactly this sharp mimicry/genuine-experience binary as a weakness) and the taste article; probe where on the continuum 'your own LLM' actually sits, and where AI functions as a prompt for firsthand experience rather than a replacement of it.
• incomplete'It's all art' universalizes the firsthand-experience premium to every kind of knowledge work, colliding with the essay's own art-vs-science distinction (some work is a reproducible search for external truth — explicitly NOT art). The piece never marks where the claim stops applying, leaving an inspiring but unfalsifiable exhortation — a live risk given the creator/marketing register in which it is written.
  Read next: Read Adler on separating a practical exhortation from a testable claim, and ask which categories of work the firsthand-experience premium genuinely governs versus where reproducible correctness — not distinctive voice — is what the audience needs (cf. the taste article's correctness-vs-quality axis, where 'correct' and 'good' come apart in the opposite direction).

Closes gaps elsewhere

• The model doesn't matter anymore – and other AI skills worth your Thursday · g2 — That doc poses but defers the question of what makes an AI-era skill 'irreplaceable' versus automatable. Acunzo supplies a criterion from the creative-work side: work grounded in and expressing the creator's non-reproducible firsthand lived experience and distinctive perspective is irreplaceable, whereas work that merely rearranges secondhand information ('a script the creator forgot to act') is automatable and prone to slop. It is a criterion, not an engineering method, but it directly answers the 'what makes it irreplaceable' question the other piece leaves open.

Related documents

• AI Alignment Is Impossible
• SWLW #701: Gazing at the misty AI Frontier, From Vibe Coding to Agentic Engineering, and more.
• You can't unit test for taste
• Det skal være vanskelig
  Cognitive Surrender Taste & Judgment Writing as Thinking
• What we lose when AI writes for us
  AI Slop Cognitive Surrender Writing as Thinking
• How People Are Really Using AI in 2026
  AI Slop Cognitive Surrender Agency
• Adam Mosseri: AI is a tailwind for authenticity
  AI Slop Agency Taste & Judgment
• Why cultivating agency matters more than cultivating skills in the AI era | Max Schoening (Head of Product, Notion)
  Agency Taste & Judgment
• Agents don't know what good looks like. And that's exactly the problem.
  LLM Limitations Taste & Judgment
• Designing the AI-native engineering organization
  Agency Taste & Judgment