LA do-gooder claims he collected 100K pounds of trash from streets — blames city for slow collection: ‘Just do your job’

nypostPublicado a 2025-12-09Actualizado a 2025-12-09

Resumen

A Los Angeles resident who has taken it upon himself to clean up the city's streets claims to have personally collected over 100,000 pounds of trash. He is now criticizing the city's sanitation department for its slow collection services, which he says undermines his and other volunteers' efforts. His message to city officials is a direct plea for them to fulfill their basic responsibilities: "Just do your job."

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China's AI Circle Has Just Established a Pecking Order, and Capital Is Already Changing the Rules Again

The article describes how the valuation logic for major Chinese AI model companies has undergone three dramatic shifts between 2022 and 2026, driven by capital's changing priorities. The first phase (around 2022) was **technology-driven valuation**, where funding was based on model performance and benchmark scores. This logic was disrupted when DeepSeek's R1 model demonstrated that comparable capabilities could be achieved at a fraction of the cost, challenging the notion of technical superiority as an unassailable moat. The second phase shifted to **IPO window-driven valuation**. Following favorable listing conditions in Hong Kong, capital flowed to companies like Zhipu and MiniMax with the clearest path to a public listing. However, this focus on liquidity over fundamentals became apparent as their Annual Recurring Revenue (ARR) lagged far behind international peers like Anthropic. The third and current phase is **national strategy-driven valuation**. This shift was marked by the state-backed "Big Fund" leading a major investment in DeepSeek, signaling that leading domestic AI models are now viewed as strategic national assets comparable to semiconductor manufacturing. This new logic, combined with soaring US valuation benchmarks (e.g., OpenAI at $850B), propelled the combined valuation of China's top AI firms ("The Four Dragons"/"Five Strong") past 1 trillion RMB. The article presents a "pricing leap model": each shift is triggered by a key event that invalidates the old logic, leading to rapid capital reallocation under a new narrative before its flaws (particularly the gap in fundamental ARR metrics) become evident. It concludes that the next major test for these valuations will be a return to scrutinizing core business fundamentals, specifically ARR growth, suggesting a fourth pricing shift is imminent.

marsbitHace 8 min(s)

China's AI Circle Has Just Established a Pecking Order, and Capital Is Already Changing the Rules Again

marsbitHace 8 min(s)

'Stock God' Trump's 3,642 Trades Disclosed: The 'Perfect Closed Loop' of Policy and Portfolio

Summary: Donald Trump's First Quarter stock trades, totaling 3,642 transactions, have been disclosed. While the White House maintains the trades were managed by an advisor and complied with disclosure laws, they reveal a portfolio heavily aligned with his policy agenda. The trades show a rotation away from major tech stocks like Microsoft, Amazon, and Meta, and into semiconductor and AI hardware companies such as NVIDIA, AMD, Broadcom, Dell, and Intel. Notably, Trump's account purchased Dell stock before he publicly praised the company, after which its stock rose. The Dell family also pledged funds to a Trump-affiliated policy project. A critical case is Intel. The Trump administration converted $8.9 billion in CHIPS Act subsidies into a 9.9% equity stake, making the U.S. government Intel's largest shareholder. Months later, Trump's personal account also bought Intel stock. This intertwines national industrial policy with potential personal financial interest. Unlike typical insider trading concerns, this situation creates a "closed loop": policy decisions (e.g., subsidies, tariffs, crypto regulation) can boost the value of his holdings, and those holdings may, in turn, influence future policy directions. This blending of presidential power and personal portfolio, while legally disclosed, raises profound questions about conflicts of interest that current rules do not address.

marsbitHace 24 min(s)

'Stock God' Trump's 3,642 Trades Disclosed: The 'Perfect Closed Loop' of Policy and Portfolio

marsbitHace 24 min(s)

Dialogue with Figure Robotics Founder: Behind the $39 Billion Valuation Lies Ambition to Mass-Produce Millions of Units

Title: Figure's Founder on the $39B Valuation and the Ambition to Mass Produce a Million Humanoid Robots In a Sourcery podcast interview, Figure founder and CEO Brett Adcock discusses the rapid rise of his humanoid robotics company. With a valuation that surged 15x in 18 months to $39 billion, Figure aims to create general-purpose humanoid robots for work in factories and homes. Adcock states that the company's primary goal is to make robots that perform real, paid work autonomously. He shares Figure's aggressive scaling plan: producing thousands of robots this year, with an ultimate ambition to reach one million units annually. Adcock explains Figure's vertically integrated strategy, designing its own motors, sensors, and joints to control its supply chain and destiny. He details the challenges, including achieving long-term, reliable, end-to-end autonomous operation—a feat no one has yet accomplished. The biggest risk is executing this complex vision at scale, but Adcock believes the potential market is enormous, representing a significant portion of global GDP. The interview also covers his departure from OpenAI, citing that Figure's internal AI team eventually surpassed OpenAI's capabilities for robotics applications. Adcock concludes by highlighting his focus for the year: large-scale commercial deployment of robots and advancing toward a "general robot" capable of any human task, potentially seeing the first signs of AGI (Artificial General Intelligence) in the physical world at Figure.

marsbitHace 24 min(s)

Dialogue with Figure Robotics Founder: Behind the $39 Billion Valuation Lies Ambition to Mass-Produce Millions of Units

marsbitHace 24 min(s)

Why Did OpenAI Decide to Make a Phone? ChatGPT Is Taking the Permissions Apple Won't Give

The article discusses OpenAI's surprising move into developing its own AI-powered smartphone, reportedly targeting a 2027 launch. Initially driven by faith that superior AI models alone would secure its dominance—evidenced by ChatGPT's viral success—OpenAI now faces a strategic pivot. Key challenges include slower-than-expected revenue growth and competition from rivals like Anthropic's Claude Code, which successfully monetized a specific, high-value user base (developers) by deeply integrating into workflows. OpenAI recognizes that for ChatGPT to evolve from a conversational tool into a true "AI Agent" that completes tasks (e.g., booking travel, managing files), it needs direct system-level permissions and a default user interface. Currently, as a service integrated into platforms like Apple's iOS and Microsoft's Windows, ChatGPT lacks the necessary access and control ("sovereignty") over hardware, data, and user interactions. Building its own device is seen as a way to give ChatGPT its "first body"—a dedicated terminal where it can operate with full autonomy, bypassing the limitations imposed by partner ecosystems. This shift underscores a broader realization: in the AI Agent era, owning the end-user device and experience is critical to capturing value and maintaining competitive advantage, even if it means directly competing with former allies like Apple.

marsbitHace 31 min(s)

Why Did OpenAI Decide to Make a Phone? ChatGPT Is Taking the Permissions Apple Won't Give

marsbitHace 31 min(s)

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Cómo comprar LA

¡Bienvenido a HTX.com! Hemos hecho que comprar Lagrange (LA) 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 Lagrange (LA) 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 Lagrange (LA)Después de comprar tu Lagrange (LA), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Lagrange (LA)Tradear fácilmente con Lagrange (LA) 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.

234 Vistas totalesPublicado en 2025.06.04Actualizado en 2025.06.04

Cómo comprar LA

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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 LA (LA).

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