The AI Era: When the 'Gap Between Human and Dog' Shrinks to the 'Gap Between Humans'

深潮Publicado a 2025-12-24Actualizado a 2025-12-24

Resumen

The article discusses how AI era is narrowing the cognitive gap between humans, using a hypothetical scoring system to illustrate the idea. Originally, the difference between individuals (e.g., a elementary student at 10 points vs. Einstein at 100) could be as vast as the difference between humans and dogs. However, with the advent of AI, which is estimated to contribute significantly to human capability (e.g., 80 points in the near term), even a less knowledgeable person equipped with AI can approach the performance of an expert. While some argue that skilled AI users (e.g., prompt engineers) may widen the gap initially, the author believes this is temporary. As AI becomes more intelligent and user-friendly, the barrier to leveraging its full potential will lower. Eventually, AI could reach a point where it contributes so much (e.g., 1000 points) that individual human differences become negligible—like two fighters using rocket launchers, where their original martial arts skills matter little. In the long run, AI will reduce relative disparities between people, even if absolute gaps persist, making expertise more accessible and diminishing the advantage of innate or highly trained human intelligence.

Author: 0xTodd

I didn't expect my last post to spark so much discussion. Essentially, we're all talking about the same thing, just with slightly different descriptions of the numbers.

We've all heard the saying: sometimes the gap between two people is bigger than the gap between a person and a dog. But this saying was born before the current wave of AI.

Today, I'll try to quantify this. The numbers are all rough estimates, just for fun—don't take them too seriously.

Let's say a primary school student's cognitive ability is 10 points, a PhD is 60 points, a university professor is 75 points, and Einstein is 100 points.

The difference between 10 and 100 points is indeed huge—a full 10x difference. It's not wrong to call it the difference between a person and a dog.

However, the AI of 2025 is worth at least 40 points. Considering AI is a generalist, while PhDs and professors are usually specialists, AI's actual value could be at least doubled to 80 points.

So we have:

- Primary student + AI = 90 points

- PhD + AI = 140 points

- Professor + AI = 155 points

- Einstein + AI = 180 points

With AI, the absolute gap between the primary student and Einstein is still 90 points, but the relative gap has shrunk from 10x to 2x.

This is my point: AI is narrowing the gap between humans.

Some might object: That's not right. A primary student certainly can't develop AI like a professor can.

It's like in One Piece, where characters develop their Devil Fruit abilities differently. The same Gomu Gomu no Mi, Luffy in first gear definitely can't beat Luffy years later in fourth gear (a novice vs. a seasoned expert).

Indeed, if AI is worth 80 points:

- Someone who doesn't know how to use it well (e.g., only asks an occasional question) might only get 20 points out of it;

- Someone very skilled at using AI (e.g., high-intensity vibe coding) might overclock it to get even 100 points.

So:

- Primary student + AI novice = 30 points

- Einstein + AI expert = 200 points

The gap has widened from 90 points to 170 points! So with AI, the gap between people has actually increased!

This is the view held by teachers Lao Bai and Alvin, and they are not wrong.

However, I must add a 'but'. While my view seems to conflict with theirs, the core idea is actually similar. Why?

Because I assume AI will continue to evolve:

First, it will become smarter;

Second, it will become easier to use.

The year 2025 is just a transitional period. The further we go, the easier it will become to be a Prompt engineer. The barrier will get lower and lower, to the point where 'having a mouth is enough'. Learning how to use AI will definitely become easier, not harder.

Let's assume that as AI gets smarter, it might reach 240 points. Then the level of utilization could range from low to high: 200, 240, 280 points.

Then:

- Primary student: 10 + 200 = 210 points

- Einstein: 100 + 280 = 380 points

The gap is 170 points, but it's not even 2x anymore—it's only 1.8x. The absolute gap has increased, but the relative gap has shrunk.

What about in 10 years? Let's be super optimistic and assume AI's cognitive ability evolves to around 1000 points.

Then:

- Primary student: 1010 points

- Einstein: 1100 points

(If this day ever comes) Even Einstein won't be able to pull far ahead of the primary student.

People think that the birth of AI has widened the gap between humans. I believe this is only a *temporary state* because AI is just emerging, and currently, people's ability to utilize it varies greatly.

But AI has replaced writers, replaced illustrators, replaced dancers, replaced artists... As these professions fall one by one, are you still worried that AI won't replace the training teachers who 'teach people how to 100% unlock AI's potential'?

Come on, that's its specialty.

In the future, it will be the norm, not the exception, for humans to utilize 80%-120% of AI's potential on average.

The smarter AI gets, the smaller the human role becomes, and the smaller the gap between humans becomes.

It's like two martial arts masters suddenly finding out they are allowed to use rocket launchers. What difference does it make if one has practiced fists and feet for 10 years and the other has practiced sword fighting for 15 years?

Criptos en tendencia

Preguntas relacionadas

QWhat is the main argument of the article regarding the impact of AI on human intelligence gaps?

AThe article argues that while AI initially seems to widen the absolute gap between individuals (e.g., a novice and an expert user), its long-term effect is to reduce the *relative* gap. As AI becomes smarter and easier to use, the cognitive advantage of highly intelligent individuals (like Einstein) over less intelligent ones (like a elementary student) will diminish, making the difference between humans smaller.

QHow does the author use a numerical example to illustrate the initial effect of AI on a student and a professor?

AThe author assigns a cognitive score of 10 to an elementary student and 75 to a university professor. A 2025 AI is valued at 80 points. When combined, the student scores 90 (10+80) and the professor scores 155 (75+80). The absolute gap is large (65 points), but the relative gap is smaller than the original 'human vs. dog' difference.

QAccording to the author, why do some people believe AI increases the gap, and how does he respond to this view?

ASome believe AI increases the gap because a skilled user (an 'AI expert') can get more value (e.g., 100 points) from an AI than a novice (20 points), thus widening the absolute difference between them. The author agrees this is a temporary state but argues that as AI evolves, it will become easier to use, and the skill of maximizing its potential will be commoditized, reducing the relative gap long-term.

QWhat is the author's prediction about the future development of AI and its usability?

AThe author predicts AI will continue to evolve in two key ways: it will become significantly smarter (e.g., reaching a cognitive score of 1000), and it will become much easier to use, lowering the barrier to entry. Using AI will become as simple as 'having a mouth' (i.e., just speaking to it), and the need for specialized training to unlock its potential will be largely eliminated.

QWhat analogy does the author use to summarize the effect of advanced AI on human competition?

AThe author uses the analogy of two martial arts masters who are suddenly allowed to use rocket launchers. In this scenario, the difference between 10 years of fist-fighting training and 15 years of sword mastery becomes irrelevant because the new technology (the rocket launcher) is the dominant factor, drastically reducing the competitive advantage of individual skill.

Lecturas Relacionadas

Must-Watch Events Next Week|CLARITY Act Could Face Senate Vote; SpaceX, Circle to Report Earnings (8.3-8.9)

**Summary: Key Events and Developments to Watch (August 3-9)** The upcoming week is marked by significant financial disclosures, key legislative deadlines, and notable product updates. **Major Financial Events:** Several companies are scheduled to release their Q2 2026 earnings. American Bitcoin (ABTC) will report on August 3, followed by SpaceX and Hut 8 Mining Corp. on August 4, and Circle on August 5. Notably, a significant portion of SpaceX shares (up to 12% of total shares) will be unlocked on August 6 following their earnings release. **Key Legislative Deadline:** The U.S. Senate faces an August 7 deadline to secure 60 votes for the CLARITY Act, a bipartisan bill aiming to establish a federal regulatory framework for cryptocurrencies. The Senate may hold a full vote on the bill during the week. **Economic Data:** The U.S. July Non-Farm Payrolls report will be released on August 7, providing crucial labor market data. **Technology & Product Updates:** * **Shutdowns:** DeFi portfolio tracker Zapper and wallet app Ctrl Wallet will cease operations on August 3. * **Upgrades:** LayerZero will deprecate its v1 relayers on August 3. XRP Ledger's new version 3.3.0, featuring five new functions, is expected next week. * **AI:** Elon Musk announced that the advanced Grok 4.6 AI model is set for release around August 7. * **Bitcoin:** The BIP-110 forced signaling for a potential Bitcoin network change is scheduled to begin around August 8. **Other Notable Events:** Chinese robotics firm Unitree Tech has set its preliminary price inquiry for its IPO for August 5. South Korean exchange Upbit will delist AQT and AERGO tokens on August 3.

marsbitHace 2 hora(s)

Must-Watch Events Next Week|CLARITY Act Could Face Senate Vote; SpaceX, Circle to Report Earnings (8.3-8.9)

marsbitHace 2 hora(s)

Stocks Are Plummeting More Sharply Than Cryptocurrencies. Where Has the Money Gone?

Stock Markets Plunge Deeper Than Cryptocurrencies: Where Did the Money Go? In late July, Seoul's Kospi index triggered circuit breakers for two consecutive days, plummeting over 40% from its June high. The collapse was led by heavyweight stocks like SK Hynix, whose record profits still disappointed investors, and devastating leveraged ETFs, with one major product losing over 83% of its value. This signaled a global, forced deleveraging targeting the most crowded trades. Interestingly, while stocks exhibited extreme volatility akin to crypto markets, Bitcoin rose nearly 15% in July after a prior steep drop. Analysis shows the money fleeing equities did not flow into Bitcoin. Instead, Bitcoin had already absorbed its sell-off in May-June, when U.S. spot Bitcoin ETFs saw historic outflows. The true safe-haven beneficiary was gold, whose price rose over 20% year-on-year, highlighting a decoupling between Bitcoin and gold as "digital gold." The sell-off was a targeted unwinding of leveraged positions in tech and semiconductors, accelerated by broker-dealer risk management and shifts in the AI narrative, including new competition from Chinese memory chipmakers. The retreat path was clear: from high-valuation tech stocks to cash and U.S. Treasuries, then to gold. For Bitcoin to attract sustained institutional inflows, conditions like eased global liquidity pressure, a "soft-landing" Fed rate cut, and U.S. regulatory clarity via legislation like the stalled CLARITY Act are needed. Currently, Bitcoin is not a safe haven but an already-cleared asset. Its low correlation with tech stocks, however, makes it a potential diversification play for institutional portfolios once the storm passes. The money isn't here yet, but the positioning is underway.

marsbitHace 2 hora(s)

Stocks Are Plummeting More Sharply Than Cryptocurrencies. Where Has the Money Gone?

marsbitHace 2 hora(s)

In Conversation with Ray Dalio: We Are Currently in an AI Bubble, with 1% of My Portfolio in Bitcoin

Ray Dalio, founder of Bridgewater Associates, warns in an interview that the current AI boom shows classic bubble characteristics, which could lead to significant economic downturns as seen in past cycles like 1929 or 2000. He explains that speculative enthusiasm, fueled by debt and overvaluation, often precedes a crash when rising rates or taxation force asset sales, causing widespread losses and recession. Dalio also outlines his "Big Cycle" theory, describing an approximate 80-year pattern where widening wealth gaps, massive government deficits, and shifting geopolitical power (like China's rise) create internal conflict and global instability. He emphasizes that we are in a late-cycle, transitional phase where traditional powers like the US and UK face decline. For personal wealth protection, Dalio advises diversification beyond cash into assets like stocks, bonds, real estate, and particularly gold, which he prefers over Bitcoin. While he holds about 1% of his portfolio in Bitcoin as a non-printable hard asset, he views gold as more secure from technological or governmental threats. Regarding AI's impact, Dalio believes it will disproportionately benefit capital owners, worsening inequality by replacing both physical and cognitive labor. He suggests that human intuition and emotional intelligence, combined with AI, will be key for future workers. On taxation, Dalio argues that wealth taxes are impractical and risk triggering asset sell-offs, reducing productive investment. He points to the UK as a cautionary example of debt, low productivity, and political strife. Geopolitically, Dalio foresees a more regionalized world, with the US showing weakness in prolonged conflicts like with Iran, akin to past imperial declines. The ideal outcome, he suggests, is coexisting powerful blocs (e.g., Americas, China-Asia Pacific) without major war.

marsbitHace 5 hora(s)

In Conversation with Ray Dalio: We Are Currently in an AI Bubble, with 1% of My Portfolio in Bitcoin

marsbitHace 5 hora(s)

Trading

Spot

Artículos destacados

Cómo comprar ERA

¡Bienvenido a HTX.com! Hemos hecho que comprar Caldera (ERA) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar Caldera (ERA) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu Caldera (ERA)Después de comprar tu Caldera (ERA), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Caldera (ERA)Tradear fácilmente con Caldera (ERA) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

467 Vistas totalesPublicado en 2025.07.17Actualizado en 2026.06.02

Cómo comprar ERA

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de ERA (ERA).

活动图片