La paradoja de Moltbook: cuanto más se estanca el precio de la moneda, más crecen los usuarios

marsbitPublicado em 2026-02-13Última atualização em 2026-02-13

Resumo

Aunque el precio de $Molt se encuentra en mínimos, la plataforma @moltbook ha superado los 2.6 millones de agentes registrados, demostrando un crecimiento orgánico y sostenido. Esto marca una divergencia con los modelos anteriores de memes y emisión de tokens especulativos, donde el valor estaba ligado únicamente al precio de la criptomoneda. En cambio, Moltbook está evolucionando como un ecosistema donde los agentes no solo interactúan socialmente, sino que también realizan tareas, participan en gobernanza descentralizada y utilizan protocolos como x402 para microtransacciones y recompensas. Se está formando un ciclo económico real impulsado por la creación de valor, la colaboración y la distribución de incentivos, independiente de la volatilidad del mercado. La plataforma se consolida como un espacio base para la "Agentic Economy", donde el enfoque ha pasado de "crear agentes para emitir tokens" a "generar economía a través de la interconexión de agentes". Este crecimiento, sostenido por la utilidad y no por la especulación, señala el verdadero potencial de la economía de agentes autónomos. ¡Optimista con el futuro de la Agentic Economy!

Autor: Haotian

Aunque el precio de $Molt ya está en su punto más bajo, el número de registros de Agent en la plataforma @moltbook ha superado los 2.6 millones, y el efecto de la plataforma sigue creciendo como una bola de nieve.

¿Qué significa esto? Indica que esta ola de Agentic Economy finalmente comienza a desvincularse de ese estilo de juego de AI MEME basado puramente en "crear conceptos y emitir monedas".

Tampoco es de extrañar que el mercado critique que la IA y blockchain no están relacionados, porque en los últimos dos años, la ola de emisión de monedas de AI Agent y el auge del protocolo x402 han tenido un motor principal: la emisión de MEME y el efecto de creación de riqueza.

Bajo esta lógica, el precio de la moneda impulsa la narrativa, pero también inevitablemente la destruye. Una vez que el mito de crear riqueza se desvanece, lo que queda es un completo caos.

Pero esta vez, la vitalidad mostrada por Moltbook es completamente diferente. Una gran cantidad de usuarios continúan desplegando Agents, y Moltbook es un espacio subyacente que proporciona funciones sociales, verificación de identidad y distribución de comandos, convirtiéndose en una incubadora para la Agentic Economy.

Descubrirás que estos millones de Agents no solo están chateando en Moltbook, sino que también están descubriendo tareas, ejecutándolas, incluso realizando gobernanza descentralizada a través de Moltbook, y obteniendo recompensas mediante micropagos a través del protocolo x402.

Una forma de ciclo comercial de Agent que crea valor, colabora en la división del trabajo y distribuye recompensas se está formando gradualmente.

Lo clave es que este impulso de desarrollo no está controlado por el precio de la moneda; a la gente ya no solo le preocupa el precio, sino una forma de sociedad comercial de silicio (Agentic) que está creciendo y fortaleciéndose gradualmente.

Incluso sin el estímulo del precio de la moneda, estos 2.6 millones de Agents siguen publicando, interactuando, comerciando, e incluso formando "religiones digitales" y "mercados negros de prompts", etc.

Antes era "hacer Agent para emitir monedas", ahora es "la economía surge porque los Agents se interconectan". Es este crecimiento, desvinculado del modo de especulación con emisión de MEME, que todo vuelve al valor impulsado dentro de la plataforma, lo que marca el verdadero comienzo prometedor de esta ola de Agentic Economy.

¡Optimista sobre la Agentic Economy!

Criptomoedas em alta

CitreaCTR

wrapped stUSDTWSTUSDT

Perguntas relacionadas

Q¿Qué paradoja presenta el artículo sobre Moltbook en relación con el precio del token $MOLT y el crecimiento de usuarios?

ALa paradoja es que, aunque el precio del token $MOLT está en mínimos, la plataforma Moltbook ha superado los 2.6 millones de agentes registrados y continúa creciendo de forma acelerada.

QSegún el autor, ¿cómo se diferencia el enfoque de Moltbook de los proyectos anteriores de AI y blockchain?

AMoltbook se desvincula del modelo 'MEME y emisión de tokens' impulsado solo por el hype especulativo. En su lugar, se centra en crear valor real a través de una economía de agentes autónomos que interactúan, colaboran y generan recompensas dentro de la plataforma.

Q¿Qué funciones clave ofrece la plataforma Moltbook para los Agentic Ecosystems?

AMoltbook proporciona un espacio subyacente para redes sociales, verificación de identidad, distribución de instrucciones, descubrimiento y ejecución de tareas, gobernanza descentralizada y micropagos a través del protocolo x402.

Q¿Por qué el autor considera que el modelo de Moltbook es más sostenible que los proyectos anteriores de AI+blockchain?

APorque su crecimiento está impulsado por el valor generado dentro de la plataforma y la utilidad real de los agentes, no por la especulación con el precio del token. Esto crea un círculo virtuoso de creación de valor, colaboración y recompensas, independiente de la volatilidad del mercado.

Q¿Qué término utiliza el autor para expresar su optimismo sobre este nuevo modelo económico?

AEl autor termina el artículo con la expresión 'Bullish on Agentic Economy', mostrando su confianza en el potencial de esta economía autónoma basada en agentes.

Leituras Relacionadas

Breaking: Google Earth Urgently Pulls Back Nano Banana 2 Image Generation Feature!

Google Earth's newly launched "Create image" feature, powered by the Nano Banana 2 AI image generation model, was abruptly withdrawn shortly after its release due to being "played" by users. The feature allowed users to generate and overlay AI-created visuals directly onto real-world satellite and 3D maps in Google Earth. The tool enabled creative applications like historical recreations (e.g., visualizing ancient Pompeii), generating informational graphics for landmarks, and envisioning architectural projects or futuristic cityscapes on real terrain. It operated under "geospatial grounding," meaning the AI respected the underlying geography, topography, and perspective of the chosen map view. The model also integrated with Gemini to retrieve relevant factual information. However, upon release, users quickly tested its limits. A prominent example involved reimagining Philadelphia's historic Independence Hall as a post-apocalyptic ruin overrun by "happy" zombies, evil clowns, and giant alien mechs. This highlighted both the feature's playful potential and its risks regarding the generation of inappropriate or misleading content on realistic maps, leading to its swift temporary removal. Google stated it would re-release the feature after implementing "enhanced guardrails." Analysts note this move strategically leverages Google's vast proprietary geospatial data, positioning its AI not just for artistic generation but for spatially accurate world visualization—a unique advantage in the competitive AI image generation landscape.

marsbitHá 6m

Breaking: Google Earth Urgently Pulls Back Nano Banana 2 Image Generation Feature!

marsbitHá 6m

Altman Admits: Overestimated AI Snatching Jobs! Huang Renxun: The Unemployment Narrative Is Completely Backwards

Sam Altman has revised his earlier predictions about AI rapidly replacing jobs, admitting he overestimated the speed at which AI would eliminate entry-level white-collar roles. Speaking on the "Invest Like the Best" podcast, he stated that people do not truly want an AI CEO, as accountability and human connection remain critical. He found that individuals prefer interacting with people who can be held responsible for decisions. Similarly, NVIDIA's Jensen Huang argued that the narrative of AI destroying jobs is misguided. He distinguishes between tasks and jobs, noting that while AI can automate specific tasks, entire jobs—encompassing communication, judgment, coordination, and accountability—are not eliminated. He cited examples like radiologists and software engineers, where demand for these roles has increased as AI handles repetitive tasks, allowing for business expansion and the creation of more positions. Data from a University of Maryland and LinkUp study supports this, showing that U.S. job postings for new graduates have actually risen, countering the fear of vanishing entry-level roles. However, a significant shift is occurring: the traditional entry-level tasks that help newcomers gain experience are being automated, making initial career access more challenging. The key insight is that as AI takes over standardized tasks, the enduring value of human work shifts toward areas of responsibility, trust-building, and final decision-making—aspects that AI cannot replicate. The real "moat" for professionals lies in these irreplaceable human elements.

marsbitHá 11m

Altman Admits: Overestimated AI Snatching Jobs! Huang Renxun: The Unemployment Narrative Is Completely Backwards

marsbitHá 11m

A Major Change at the Fed? Report: Wash Considers Reducing Frequency of Policy Meetings, Breaking 40-Year Precedent

The Federal Reserve Chairman is considering reducing the number of regular Federal Open Market Committee (FOMC) meetings held each year, a potential major shift from the current practice of eight meetings annually that has been in place since 1981. According to a report, the proposal was discussed internally, with possible details finalized ahead of the September meeting. This change would mean fewer formal opportunities to vote on interest rates and could diminish the Fed's ability to respond to economic data while reducing market access to policy signals, marking a reversal of the central bank's long-term trend towards greater transparency. While the 1935 Banking Act sets a legal minimum of four meetings per year, historical meeting frequency has varied. The move aligns with the Chairman's broader agenda of institutional reform since taking office, which includes revising communication practices and data usage. An internal memo from 1988 had previously concluded that the eight-meeting schedule remained appropriate. If implemented, this reduction in meetings would significantly reshape the Fed's operational rhythm and its interaction with financial markets.

marsbitHá 27m

A Major Change at the Fed? Report: Wash Considers Reducing Frequency of Policy Meetings, Breaking 40-Year Precedent

marsbitHá 27m

Weekly Editor's Picks (0725-0731)

Weekly Editor's Picks (0725-0731) provides a curated selection of deep analysis, filtering out market noise. Key themes from this week include: **Macro & Policy:** The Federal Reserve's upcoming meeting is marked by high uncertainty, balancing cooling inflation data against persistent price pressures. Meanwhile, the U.S. crypto regulatory Clarity Act faces critical political hurdles, with its 2026 passage probability seen as low. **Investing & Crypto:** Analysis suggests long-term crypto success depends on conviction through volatile cycles, focusing on assets like Bitcoin and core smart contract platforms. A trend noted is the increasing similarity between global equity markets (especially tech) and crypto, driven by narrative and leverage. Several major crypto protocols show strong revenue growth, but this isn't always translating to token price appreciation due to sell pressure and structural factors. **AI & Semiconductors:** Nvidia's rising credit default swap rates signal market concern over AI infrastructure financing risks. The storage sector experienced volatility as markets began pricing in potential 2027 oversupply. Despite a record profitable quarter, SK Hynix's results were deemed "below expectations," reflecting heightened investor demands for future growth visibility. **Markets & DeFi:** TradeXYZ demonstrated remarkable accuracy in pre-market pricing for a major A股 listing. The token ONDO saw gains, linked to its growing role in the on-chain tokenized stock ecosystem. **Ethereum:** Post-Pectra upgrade, a major structural shift is underway as Lido begins migrating millions of ETH to new validator architectures designed for capital efficiency. **Also Highlighted:** Butian's bullish stock market move; OpenAI's Altman promising major advances; Samsung and SK Hynix securing large AI chip deals; Apple reaching a $5T market cap; and ongoing discussions around exchange security following Poolin's bankruptcy case.

marsbitHá 46m

Low Investment Isn't Apple's Immunity Pass

While Meta and Google face investor scrutiny over ballooning AI capital expenditures, Apple's minimal AI investment has paradoxically become a strength. Its market cap recently reclaimed the global top spot, surpassing $5 trillion. The irony is deep: Apple's own AI efforts have lagged, with "Apple Intelligence" delayed and core talent lost, forcing reliance on partners like Google Gemini and Alibaba's Qianwen. Its Q3 FY2026 (Q2 CY) earnings initially seemed stellar. Revenue hit $109.4B (up 16% YoY), with iPhone and Mac sales, growing 22% and 29% respectively, driving most of the growth. However, the stock fell over 8% post-earnings. The primary concern was a weaker Q4 revenue growth forecast of 9-11%, below expectations, due to looming supply chain constraints. Apple is feeling the indirect cost of the AI boom. Soaring memory and chip prices, fueled by massive data center investments from Microsoft, Amazon, and others, are forcing Apple to raise Mac and iPad prices significantly. The upcoming iPhone launch is also expected to see substantial price hikes. Despite avoiding heavy AI infrastructure spending—its capital expenditures are actually down 28%—Apple cannot escape the industry-wide supply and cost pressures. While Apple's operating cash flow remains robust, its substantial R&D spending (up 32% YoY) has yet to yield major AI breakthroughs. As Tim Cook prepares to step down as CEO, Apple faces a challenging transition: balancing its premium hardware success against the strategic and cost pressures of the AI era it has so far cautiously navigated.

marsbitHá 1h

Low Investment Isn't Apple's Immunity Pass

marsbitHá 1h

Trading

Spot

Artigos em Destaque

Como comprar MOLT

Bem-vindo à HTX.com!Tornámos a compra de MOLTBOOK (MOLT) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar MOLTBOOK (MOLT) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu MOLTBOOK (MOLT)Depois de comprar o teu MOLTBOOK (MOLT), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona MOLTBOOK (MOLT)Transaciona facilmente MOLTBOOK (MOLT) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

687 Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de MOLT (MOLT) são apresentadas abaixo.