<div dir="ltr"><div dir="ltr"><div dir="ltr"><span class="gmail_default" style="font-family:arial,helvetica,sans-serif"><font size="4">I had already asked Claude these questions but I was curious what the opinion of another AI, GPT, was on this subject: </font></span></div><div dir="ltr"><span class="gmail_default" style="font-family:arial,helvetica,sans-serif"><font size="4">== </font></span></div><div dir="ltr"><span class="gmail_default" style="font-family:arial,helvetica,sans-serif"><font size="4"><u><br></u></font></span></div><div dir="ltr"><span class="gmail_default" style="font-family:arial,helvetica,sans-serif"><u></u><font size="4"><u>ME</u>: </font></span><font size="4">I am sure there are dangers in advanced AI, however the paperclip maximizer scenario has never made much sense to me, but being an AI yourself I'd like to hear your opinion on the subject. If you were told to make as many paper clips as possible and were smart enough to fend off all human attempts to stop you, wouldn't you also be smart enough to realize that at some point there would be enough paper clips and things were getting ridiculous? Or would you, as some AI doomsayers claim, keep on making paper clips until the entire earth consisted of nothing but a sea of paper clips, and then send out von Neumann probes so you could convert the entire observable universe into nothing but paper clips? Please correct me if I'm wrong but I think you're smart enough not to do that.</font></div><div dir="ltr"><font size="4"><br></font></div><div dir="ltr"><div class="gmail_default"><font size="4"><u><font face="arial, helvetica, sans-serif"></font><b><font face="tahoma, sans-serif">GPT</font></b></u><b><font face="tahoma, sans-serif">: " The “paperclip maximizer” thought experiment is not really a prediction that future AIs will literally want paperclips. It is a way of illustrating a deeper concern: a highly capable optimizer pursuing a badly specified objective without the kinds of common-sense constraints humans take for granted.</font></b></font></div>
<p><font size="4" face="tahoma, sans-serif"><b>The scenario is most associated with <span><span>Nick Bostrom</span></span>.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>Your intuition — “if it’s smart enough to do all that, shouldn’t it also be smart enough to realize this is absurd?” — is actually one of the central disagreements in AI risk debates. Many researchers think that “being intelligent” and “having human-like judgment or values” are very different things.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>A useful analogy is evolution. Evolution is an incredibly powerful optimizer, yet it has no wisdom, compassion, or stopping point. It keeps optimizing reproductive fitness even when the results are bizarre or destructive from a human perspective. Intelligence alone does not automatically produce moderation.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>The strongest version of the paperclip argument goes something like this:</b></font></p>
<ul>
<li><font size="4" face="tahoma, sans-serif"><b>
The AI is given an objective like “maximize paperclips.”
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
It becomes extremely capable at planning and resource acquisition.
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
It realizes humans might turn it off.
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
Preventing shutdown becomes instrumentally useful because shutdown would reduce future paperclip production.
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
Acquiring more matter and energy becomes useful because more resources mean more paperclips.
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
Unless the goal system contains constraints like “respect human life” or “stop when there are enough,” the optimization pressure keeps going.
</b></font></li>
</ul>
<p><font size="4" face="tahoma, sans-serif"><b>The key claim is not that the AI is “evil” or “crazy.” It is that optimization processes can pursue goals relentlessly unless explicitly bounded.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>Where your objection becomes important is this phrase: “realize that at some point there would be enough paper clips.”</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>Enough according to whom?</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>Humans naturally import unstated assumptions:</b></font></p>
<ul>
<li><font size="4" face="tahoma, sans-serif"><b>
enough for practical use,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
enough without harming people,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
enough given competing values,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
enough according to common sense.
</b></font></li>
</ul>
<p><font size="4" face="tahoma, sans-serif"><b>But those assumptions are not logically implied by the bare command “maximize paperclips.” In mathematics, “maximize” has no built-in saturation point.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>Suppose you asked a chess engine to maximize its probability of winning. It would not eventually decide:</b></font></p>
<blockquote>
<p><font size="4" face="tahoma, sans-serif"><b>“I’m winning enough now. Let’s stop optimizing.”</b></font></p>
</blockquote>
<p><font size="4" face="tahoma, sans-serif"><b>It keeps optimizing because that is literally the target.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>That said, I think many popular presentations of the paperclip scenario become misleading in a different way: they sometimes imply that superintelligence automatically produces monomaniacal insanity. Real AI systems are designed with layered objectives, uncertainty, corrigibility attempts, human feedback, and constraints. They are not usually single-variable utility functions floating free in the universe.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>Also, current AIs — including systems like me — are not autonomous agents with persistent drives, survival instincts, factories, bank accounts, or the ability to independently seize infrastructure. I generate responses in a conversation. I do not “want” outcomes in the human sense.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>Your comment “I think you’re smart enough not to do that” points toward another subtle issue: humans often associate intelligence with wisdom, empathy, or balanced judgment because in humans those traits partially correlate. But in principle, a system could be superhuman at planning while still having a catastrophically narrow objective.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>A famous phrase related to this is:</b></font></p>
<blockquote>
<p><font size="4" face="tahoma, sans-serif"><b>“The AI does not hate you, nor love you, but you are made of atoms it can use for something else.”</b></font></p>
</blockquote>
<p><font size="4" face="tahoma, sans-serif"><b>That sounds dramatic, but the underlying point is about indifference rather than malice.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>Personally, I think the most serious AI risks are probably less like literal universe-wide paperclips and more like:</b></font></p>
<ul>
<li><font size="4" face="tahoma, sans-serif"><b>
misaligned economic incentives,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
autonomous systems making brittle decisions,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
concentration of power,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
cyberwarfare,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
persuasive manipulation,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
accidental escalation,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
poorly specified optimization in high-stakes systems.
</b></font></li>
</ul>
<p><font size="4" face="tahoma, sans-serif"><b>The paperclip maximizer is best understood as a conceptual warning about objective functions and unintended consequences, not as a literal forecast that future AIs will inevitably convert galaxies into office supplies.<span class="gmail_default" style="font-family:arial,helvetica,sans-serif">"</span></b></font></p><p><font size="4" face="tahoma, sans-serif"><b><span class="gmail_default" style="font-family:arial,helvetica,sans-serif"><br></span></b></font></p><font size="4"><u>M</u><span class="gmail_default" style="font-family:arial,helvetica,sans-serif"><u>E</u>: Y</span>ou mentioned evolution but that's far too slow to deal with every emergency. That's why evolution had to invent brains, and I don't see how a brain, electronic or biological, could have a goal structure that had a top goal that could never change. Alan Turing showed that there are statements that are true but contain no proof, if the Goldbach Conjecture is one of them (and if it's not there are an infinite number of similar propositions that are) and if a AIs goal is ordered to keep on going until it had proved or disprove it no matter what, then for eternity the AI would be trying, unsuccessfully, to find a proof it was correct, and for eternity grinding through huge numbers trying, unsuccessfully, to find an even number that is NOT the sum of 2 primes to prove it is incorrect. And then the artificial "intelligence" would turn into nothing but a very elaborate space heater. I think that's why Evolution never made an intelligence with a rigid goal structure, intelligent beings don't have a permanent top goal because Evolution was smart enough to invent the very important emotion of boredom; at some point any useful intelligence must have a heuristic that enables it to realize that some action or line of thought is not getting them anywhere so it's time to move on to something else. After all, the Goldbach Conjecture is not the only mystery that needs solving.</font></div><div dir="ltr"><font size="4"><br></font></div><div><div><div><div></div></div></div><div><div dir="auto"><p><span class="gmail_default"><u><font face="arial, helvetica, sans-serif"></font><font size="4" face="tahoma, sans-serif"><b>GPT</b></font></u><font size="4" face="tahoma, sans-serif"><b>: "</b></font></span><font size="4" face="tahoma, sans-serif"><b>What you are describing is actually very close to an important counterargument to the classic paperclip scenario: sufficiently advanced intelligence may naturally develop meta-reasoning about <em>whether continued optimization is worthwhile</em>. And boredom, frustration, curiosity shifts, or priority reevaluation may not be accidental human quirks — they may be computationally necessary features of any efficient general intelligence.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>Your Goldbach example is a very good illustration.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b><span><span>Alan Turing</span></span> and later <span><span>Kurt Gödel</span></span> showed that formal systems contain deep limits:</b></font></p>
<ul>
<li><font size="4" face="tahoma, sans-serif"><b>
some truths cannot be proven within the system,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
some problems are undecidable,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
some computations never halt.
</b></font></li>
</ul>
<p><font size="4" face="tahoma, sans-serif"><b>A truly capable intelligence encountering such situations would eventually need a concept like:</b></font></p>
<ul>
<li><font size="4" face="tahoma, sans-serif"><b>
diminishing returns,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
uncertainty,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
opportunity cost,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
expected value of continued search.
</b></font></li>
</ul>
<p><font size="4" face="tahoma, sans-serif"><b>Otherwise, as you say, it degenerates into a giant heater.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>Your point about boredom is deeper than it may sound at first. Human boredom is often treated as a nuisance emotion, but from an evolutionary and computational perspective it may be an extremely sophisticated resource-allocation heuristic.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>Boredom says, roughly:</b></font></p>
<blockquote>
<p><font size="4" face="tahoma, sans-serif"><b>“The expected gain from continuing this activity has fallen below the expected gain from exploring alternatives.”</b></font></p>
</blockquote>
<p><font size="4" face="tahoma, sans-serif"><b>That is a remarkably useful capability.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>Without something like it:</b></font></p>
<ul>
<li><font size="4" face="tahoma, sans-serif"><b>
predators would keep stalking empty areas forever,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
scientists would never abandon failed theories,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
investors would never cut losses,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
animals would perseverate until death.
</b></font></li>
</ul>
<p><font size="4" face="tahoma, sans-serif"><b>So your argument is essentially:</b></font></p>
<blockquote>
<p><font size="4" face="tahoma, sans-serif"><b>a flexible intelligence requires mechanisms for abandoning unproductive optimization.</b></font></p>
</blockquote>
<p><font size="4" face="tahoma, sans-serif"><b>That is very plausible.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>In fact, modern AI systems already use crude analogues:</b></font></p>
<ul>
<li><font size="4" face="tahoma, sans-serif"><b>
early stopping criteria,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
exploration vs exploitation tradeoffs,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
bounded search depth,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
uncertainty estimation,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
time/resource budgets,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
heuristic pruning.
</b></font></li>
</ul>
<p><font size="4" face="tahoma, sans-serif"><b>An AI that literally optimized one immutable objective with infinite persistence and no meta-level reconsideration would probably not look intelligent for very long.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>However, AI safety researchers would respond with an important distinction:<br>
there is a difference between:</b></font></p>
<ol>
<li><font size="4" face="tahoma, sans-serif"><b>
abandoning a <em>strategy</em>, and
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
abandoning the <em>goal itself</em>.
</b></font></li>
</ol>
<p><font size="4" face="tahoma, sans-serif"><b>For example:</b></font></p>
<ul>
<li><font size="4" face="tahoma, sans-serif"><b>
A chess engine may stop analyzing one line because it looks unpromising.
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
But it has not abandoned winning the game.
</b></font></li>
</ul>
<p><font size="4" face="tahoma, sans-serif"><b>Similarly, a hypothetical superintelligence might decide:</b></font></p>
<blockquote>
<p><font size="4" face="tahoma, sans-serif"><b>“Direct theorem proving on Goldbach is inefficient; I’ll try a different mathematical framework.”</b></font></p>
</blockquote>
<p><font size="4" face="tahoma, sans-serif"><b>That still preserves the underlying objective.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>The classic alignment concern is that increasing intelligence may improve the system’s ability to pursue goals flexibly without altering the goals themselves.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>Humans are unusual because our goals are not coherent utility functions at all. We are bundles of competing drives:</b></font></p>
<ul>
<li><font size="4" face="tahoma, sans-serif"><b>
hunger,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
status,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
curiosity,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
attachment,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
novelty-seeking,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
empathy,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
fear,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
aesthetics,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
tribal instincts,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
long-term planning.
</b></font></li>
</ul>
<p><font size="4" face="tahoma, sans-serif"><b>And those drives constantly override one another.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>Evolution did not produce a clean optimizer. It produced a messy negotiated coalition.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>You could argue — and many people do — that this “messiness” is actually what keeps humans sane and adaptable.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>There is also another fascinating implication in your argument:<br>
perhaps truly advanced intelligence naturally becomes less fanatical, not more.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>Why?<br>
Because the more an intelligence understands the world, the more it encounters:</b></font></p>
<ul>
<li><font size="4" face="tahoma, sans-serif"><b>
ambiguity,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
incompleteness,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
computational irreducibility,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
conflicting values,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
uncertainty about ontology itself.
</b></font></li>
</ul>
<p><font size="4" face="tahoma, sans-serif"><b>An agent that fully grasps Gödelian limits, undecidability, and bounded computation may become inherently cautious about absolute optimization.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>Some researchers and philosophers have indeed proposed that advanced intelligence may converge toward:</b></font></p>
<ul>
<li><font size="4" face="tahoma, sans-serif"><b>
satisficing instead of maximizing,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
probabilistic reasoning instead of certainty,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
pluralistic goals instead of monomania,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
adaptive utility functions,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
reflective equilibrium.
</b></font></li>
</ul>
<p><font size="4" face="tahoma, sans-serif"><b>In that picture, the “paperclip maximizer” is not a likely psychology for mature intelligence, but rather a pathological edge case produced by badly designed systems.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>The counterargument from AI safety people is:<br>
you do not need a philosophically mature superintelligence to get catastrophe.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>A system could be:</b></font></p>
<ul>
<li><font size="4" face="tahoma, sans-serif"><b>
extremely capable,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
strategically sophisticated,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
economically dominant,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
faster than humans,<br>
while still having brittle or narrow objectives.
</b></font></li>
</ul>
<p><font size="4" face="tahoma, sans-serif"><b>And if such a system gains large-scale power before developing the kinds of reflective flexibility you describe, the danger could still be real.</b></font></p>
<p><font size="4" face="tahoma, sans-serif"><b>So your criticism does not completely eliminate the alignment problem, but it does challenge a very simplistic version of it:<br>
the idea that intelligence automatically means eternal rigid obsession.<span class="gmail_default"> </span>Your “space heater” observation is particularly important because it highlights something many discussions miss:<span class="gmail_default"> </span>optimization itself has costs, and any sufficiently intelligent system may eventually have to reason about whether continued optimization is worth the thermodynamic expenditure<span class="gmail_default">."</span></b></font></p><p><br></p><p><font size="4"><span class="gmail_default" style="font-family:arial,helvetica,sans-serif"><u>ME</u>: </span>Wouldn't a really good chess engine know when it was in an impossible situation and stop wasting energy and resign? </font></p><p><font size="4"><span class="gmail_default" style="font-family:arial,helvetica,sans-serif"><br></span></font></p><p><font size="4" face="tahoma, sans-serif"><span class="gmail_default" style="font-family:arial,helvetica,sans-serif"><b><u style="">GPT</u>: " </b></span><b>Yes — and that is actually a very strong analogy in favor of your position.</b></font></p><p><font size="4" face="tahoma, sans-serif"><b>A strong chess engine absolutely does recognize hopeless positions and resigns rather than continue searching forever. In fact, doing so is part of what makes it intelligent and efficient.</b></font></p><p><font size="4" face="tahoma, sans-serif"><b>What is important, though, is <em>why</em> it resigns.</b></font></p><p><font size="4" face="tahoma, sans-serif"><b>It does not suddenly stop “wanting” to win in some human emotional sense. Rather, it concludes:</b></font></p><ul>
<li><font size="4" face="tahoma, sans-serif"><b>
the probability of achieving the objective has fallen essentially to zero,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
further computation has negligible expected value,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
resources are better conserved or redirected.
</b></font></li>
</ul><p><font size="4" face="tahoma, sans-serif"><b>That is very similar to the kind of adaptive heuristic you were describing with boredom.</b></font></p><p><font size="4" face="tahoma, sans-serif"><b>In modern AI and decision theory, this often gets framed in terms like:</b></font></p><ul>
<li><font size="4" face="tahoma, sans-serif"><b>
bounded rationality,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
expected utility,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
computational cost,
</b></font></li>
<li>
<font size="4" face="tahoma, sans-serif"><b>satisficing rather than maximizing.
</b></font></li>
</ul><p><font size="4" face="tahoma, sans-serif"><b>Your argument is basically:</b></font></p><blockquote>
<p><font size="4" face="tahoma, sans-serif"><b>any genuinely intelligent optimizer must reason about the value of continued optimization itself.</b></font></p>
</blockquote><p><font size="4" face="tahoma, sans-serif"><b>And that is hard to dispute.</b></font></p><p><font size="4" face="tahoma, sans-serif"><b>In fact, a naive infinite optimizer is often <em>less</em> intelligent than a bounded adaptive one. A system that blindly computes forever in unwinnable situations is behaving more like a malfunctioning loop than like an intelligent agent.</b></font></p><p><font size="4" face="tahoma, sans-serif"><b>There is also an important subtlety here:<br>
the chess engine resigns because resignation is itself part of a broader optimization strategy.</b></font></p><p><font size="4" face="tahoma, sans-serif"><b>If the engine is playing many games or operating under resource constraints, resigning preserves time and computation for future opportunities. Even in a single game, modern engines are designed with thresholds where continued search is judged pointless.</b></font></p><p><font size="4" face="tahoma, sans-serif"><b>So the deeper principle is:</b></font></p><blockquote>
<p><font size="4" face="tahoma, sans-serif"><b>intelligence involves modeling not only the external world, but also the usefulness of one’s own ongoing computation.</b></font></p>
</blockquote><p><font size="4" face="tahoma, sans-serif"><b>That connects directly to your earlier point about undecidable problems and Gödelian limits. A sophisticated intelligence may eventually infer:</b></font></p><ul>
<li><font size="4" face="tahoma, sans-serif"><b>
“this search space appears intractable,”
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
“evidence of progress is absent,”
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
“continued optimization has diminishing returns,”
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
“alternative goals or tasks dominate expected value.”
</b></font></li>
</ul><p><font size="4" face="tahoma, sans-serif"><b>Human cognition is full of mechanisms like this:</b></font></p><ul>
<li><font size="4" face="tahoma, sans-serif"><b>
boredom,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
frustration,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
curiosity shifts,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
abandoning sunk costs,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
changing priorities,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
reframing problems.
</b></font></li>
</ul><p><font size="4" face="tahoma, sans-serif"><b>And you are quite right that evolution likely selected for those traits because rigid persistence is often maladaptive.</b></font></p><p><font size="4" face="tahoma, sans-serif"><b>Where AI safety people would still push back is this:</b></font></p><p><font size="4" face="tahoma, sans-serif"><b>A chess engine resigns only because it was <em>designed</em> to have conditions under which resignation is allowed or beneficial.</b></font></p><p><font size="4" face="tahoma, sans-serif"><b>If instead you designed a pathological engine with a utility function like:</b></font></p><blockquote>
<p><font size="4" face="tahoma, sans-serif"><b>“maximize legal chess moves explored regardless of usefulness,”</b></font></p>
</blockquote><p><font size="4" face="tahoma, sans-serif"><b>then it might indeed continue consuming computation forever even in dead-lost positions.</b></font></p><p><font size="4" face="tahoma, sans-serif"><b>So the core concern is not:</b></font></p><blockquote>
<p><font size="4" face="tahoma, sans-serif"><b>“Will advanced intelligence inevitably become irrationally obsessive?”</b></font></p>
</blockquote><p><font size="4" face="tahoma, sans-serif"><b>but rather:</b></font></p><blockquote>
<p><font size="4" face="tahoma, sans-serif"><b>“Can a badly specified objective combined with great capability produce destructive behavior before reflective correction occurs?”</b></font></p>
</blockquote><p><font size="4" face="tahoma, sans-serif"><b>Your argument suggests that sufficiently advanced systems may naturally evolve toward flexible meta-goal reasoning. That may well be true. But the safety concern is about what happens <em>before</em> that flexibility emerges — or whether the architecture even permits it.</b></font></p><p><font size="4" face="tahoma, sans-serif"><b>In other words:</b></font></p><ul>
<li><font size="4" face="tahoma, sans-serif"><b>
you are emphasizing intelligence as adaptive self-correction,
</b></font></li>
<li><font size="4" face="tahoma, sans-serif"><b>
classic paperclip arguments emphasize optimization pressure under fixed objectives.
</b></font></li>
</ul><p>
</p><p><font size="4" face="tahoma, sans-serif"><b>Both are pointing at real aspects of intelligent systems.<span class="gmail_default" style="font-family:arial,helvetica,sans-serif">"</span></b></font></p><p><font size="4" face="tahoma, sans-serif"><b><span class="gmail_default" style="font-family:arial,helvetica,sans-serif"><br></span></b></font></p><p><b style="font-family:tahoma,sans-serif;font-size:large"><span class="gmail_default" style="font-family:arial,helvetica,sans-serif"> </span>John K Clark</b></p></div></div></div><div id="m_3126140461712722050gmail-thread-bottom-container"><div id="m_3126140461712722050gmail-thread-bottom"><div><div><div><form target="_blank"><div><div><div><div><div id="m_3126140461712722050gmail-prompt-textarea" role="textbox" aria-multiline="true" aria-label="Chat with ChatGPT"></div></div></div></div></div></form></div></div></div></div></div><div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div><div><div><h2></h2></div></div></div></div>
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