SMCI Involved in AI Smuggling, Munger's Advice for Ordinary People to Turn Their Lives Around...

比推Publicado a 2026-03-20Actualizado a 2026-03-20

Resumen

This article summarizes recent discussions among crypto influencers on X platform. Key topics include: 1. **SMCI AI Smuggling Case**: Reports detail an incident involving the alleged smuggling of AI technology, with linked images and an extended reading source. 2. **Charlie Munger's Advice for 2026**: The late investor's principles are highlighted, emphasizing the pitfalls of hesitation (lack of conviction) and going all-in (allowing no room for error). The advice is praised as timeless wisdom that resonates more with experience. 3. **Making 1 Million in Crypto**: A discussion on the perceived simplicity versus the actual difficulty of achieving significant profits in the cryptocurrency market. 4. **Macroeconomics, Policy & Black Swans**: Commentary on broader economic conditions, potential policy changes, and unforeseen market risks. The article concludes with links to the publisher's social media channels and a disclaimer that the content consists of personal opinions and does not constitute investment advice.

Hello dear readers~

Popular replies:

Munger says the two biggest taboos in investing are hesitation and going all-in. Hesitation means lacking one's own certainty; going all-in means not allowing for any unexpected events. The former lacks technique, the latter lacks principle, both are deficiencies in mindset and rules.

Read more, read often. When I was too young, I didn't feel anything reading Munger, but now it all rings true.

Is It Easy to Make 1 Million in the Crypto Circle...?

Macroeconomy, Policy & Black Swans


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Preguntas relacionadas

QWhat is the SMCI AI smuggling case mentioned in the article?

AThe article references an 'SMCI AI smuggling case' but does not provide specific details. It includes images and a link for extended reading, suggesting it involves the alleged illegal export or trafficking of AI-related technology or components by the company SMCI.

QAccording to the article, what was Charlie Munger's advice for ordinary people to improve their situation in 2026?

AThe article states that Charlie Munger's 'equation for turning things around in 2026' advises against two things in investing: hesitation and going all-in (full allocation). Hesitation indicates a lack of conviction, while going all-in leaves no room for unexpected events.

QWhat is the general sentiment in the crypto community about making 1 million dollars, as discussed in the article?

AThe article presents a mixed sentiment with the title 'Is it simple to make 1 million in the crypto circle... or not?' It includes social media posts that likely debate the ease or difficulty of achieving this financial goal, highlighting that it is a topic of discussion but not a simple feat.

QWhat types of topics are covered under the section 'Macroeconomy, Policy, and Black Swans'?

AThis section discusses broad, large-scale economic trends, government or regulatory policies, and potential unforeseen, high-impact events ('Black Swans') that could affect the market. The article includes several images of social media posts, likely containing charts and commentary on these subjects.

QWhich platforms does the article cite as its sources for the discussions?

AThe article states that the content is compiled from the X platform (formerly known as Twitter). It also provides links to its own Twitter account (@BitpushNewsCN) and Telegram channels for further discussion and updates.

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2026 New Policy Interpretation: The "Mutual Pursuit" of Intelligent Agents and AI Terminals, and the Three Major Value Reconstructions in the AIoT Industry

In May 2026, China's national ministries released two pivotal policy documents that jointly establish a strategic "dual-track" framework for the AIoT industry. The "Intelligent Agent Standardized Application and Innovation Development Implementation Opinions" defines the "soul"—positioning intelligent agents as core AI products. The "Artificial Intelligence Terminal Intelligence Grading" national standard defines the "body"—establishing a four-tier capability ladder (L1 to L4) for AI hardware. This synchronized policy approach is globally unique, moving beyond market-led (US) or risk-focused (EU) models. It frames AIoT as a new type of "intelligent infrastructure," comparable to electricity or the internet in historical significance. The core analysis identifies a value evolution from IoT 1.0 (connection) to AIoT 4.0 (collaboration, represented by the forward-looking L4 level). This "L4" signifies a paradigm shift: from users operating tools to delegating tasks to agent-like devices ("Intelligent Action of All Things"). The article outlines three strategic paths for companies: becoming Standard Definers, Scenario Integrators (focusing on 19 specified application areas), or Infrastructure Builders. A critical 18-24 month window is identified for strategic positioning. A "Four Levers" strategy is proposed: leveraging Standards (L-level certification), leveraging Scenarios (deep vertical focus), leveraging Open Source (for cost reduction and ecosystem influence), and leveraging Momentum (engaging in global protocol ecosystems). In conclusion, these policies are a starting gun for a decade-long industrial transformation, shifting the industry narrative from "Intelligent Connection of All Things" to "Intelligent Action of All Things," with companies needing to choose their赛道and execution strategy decisively.

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On May 11th, OpenAI announced the formation of a new company, "OpenAI Deployment Company," with an initial investment of over $4 billion (approximately 27.2 billion RMB). This venture aims to help businesses build and deploy AI solutions. OpenAI is also acquiring the AI consulting firm Toromo to rapidly scale the deployment company's capabilities. This new entity, majority-owned by OpenAI, brings together 19 investment, consulting, and system integration partners, led by TPG with co-lead founding partners including Advent International, Bain Capital, and Brookfield. OpenAI's Chief Revenue Officer, Denise Dresser, stated that while AI is becoming increasingly capable, the current challenge lies in integrating these systems into core business infrastructure and workflows. The deployment company is designed to bridge this gap and translate AI capabilities into operational impact. This move comes as OpenAI emphasizes the next competitive phase will depend on the efficiency of deploying AI in real business scenarios. The company reports over 1 million businesses already use its products and APIs. OpenAI is significantly increasing its investments in computing power, with co-founder Greg Brockman stating the company expects to spend $50 billion on compute this year, a dramatic increase from $3 million in 2017. The announcement follows OpenAI's recent completion of a record $122 billion funding round in late March, led by Amazon, Nvidia, and SoftBank, valuing the company at $852 billion post-money. Major strategic investors committed $110 billion as a base for this round. Concurrently, OpenAI is advancing its core model development. It has shifted focus from its Sora video generator to developing advanced robotics and AI models that interact with the physical world. It has also begun allowing select users access to a new model specialized in identifying software vulnerabilities and is reportedly preparing to launch an enhanced image generation model in the coming weeks. According to reports citing founder Sam Altman, OpenAI is considering an IPO as early as 2027, with a potential valuation around $1 trillion.

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