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Behind Musk's trillion-dollar fortune: 85% unsellable.
SpaceX broke the global IPO record with $75 billion, Elon Musk's net worth surpassed $1 trillion, and 4,400 employees became millionaires. But what does 4.2% of the shares outstanding mean? How much of this paper wealth can actually be converted into cash? And how many new millionaires will be created if Anthropic and OpenAI follow suit and go public? This article breaks down this mathematical problem.
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Bezos' Prometheus, a company with 150 employees valued at $41 billion, takes a different approach.
Jeff Bezos's new company, Prometheus, has raised $12 billion in funding, valuing the company at $41 billion. With a team of 150 people, the average valuation is $273 million. The company is betting on physical AI-driven design automation, but has yet to generate product revenue. Will this huge promise be fulfilled?
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Anthropic CEO publishes lengthy article: AI is moving too fast, and policies can't keep up.
Anthropic CEO Dario Amodei called on the government to establish mandatory AI regulations, invested $350 million to promote third-party testing, acknowledged that AI could lead to permanent unemployment, and shifted the policy stance from self-regulation to seeking assistance.
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Claude Fable doubles its price; top-tier AI is becoming a luxury.
Anthropic has released its most powerful code model, but it will no longer be available to subscribers after June 22nd. API prices have doubled, and token consumption is staggering. A clear price ladder is emerging, with different tiers of AI models ranging from $9 to $120.
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Siri has become a standalone app, finally moving beyond its role as a mere "editing tool" for Apple's AI.
Apple WWDC 2026: Siri becomes a standalone app, cross-application tasks and iCloud contextual memory are enhanced, Apple Intelligence is fully upgraded, and a deep collaboration with Gemini has ushered in the era of AI agents.
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From Hunyuan to WeChat AI, Tencent's slow pace has reached the delivery hurdle.
WeChat AI's internal beta test offers two access modes, with the automatic mode requiring developers to submit their source code. Behind this announcement lies Tencent's three-pronged approach: from the Hunyuan Big Model to Yuanbao (a virtual currency system) and then to super apps. The technological foundation is solid, and consumer-facing validation has been completed, but the third step is just beginning. Concerns from the supply side regarding source code licensing and the conflicting interests in ecosystem distribution remain unresolved.
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Concerned about AI evolving on its own, is Anthropic planning to stop training?
Anthropic co-founder predicts a 60% probability of recursive self-improvement by the end of 2028, with 80% of internal code written by AI; DeepMind CEO states humanity is standing at the "foot of the singularity." With AI accelerating and signals rapidly emerging, is a turning point imminent?
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AI-powered transit stations spark heated discussions on Zhihu: What are users really worried about behind cheap tokens?
Zhihu is abuzz with discussions about cheap tokens used in AI transit stations: Are the models realistic? Is the data secure? How should costs and trust be balanced? A roundtable discussion on token economics provides an in-depth analysis of the sources of low prices and the associated gray-area risks.
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Li Feifei's team clarified the concept of "world model," stating that Sora can only be considered a renderer.
In June 2026, World Labs and Fei-Fei Li jointly published a conceptual classification article, bluntly stating that "world model" is one of the most misused terms in the AI ​​field. What do a video generator, an autonomous driving prediction network, and a robot control model have in common? Almost nothing, yet they are all called "world models." This article didn't introduce a new model; instead, it returned to the theoretical origins of POMDP, reducing all systems to three functional projections: renderer, simulator, and planner. By cutting through marketing rhetoric and understanding the true capability boundaries of different AI systems, someone has finally offered the key.
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From IDE to Terminal: A Practical Handbook for Intelligent Agent Engineering
Claude's coding tips are taking the development community by storm: a no-IDE terminal workflow replaces traditional editors, plan.md drives AI for efficient execution, and 22 practical tips to improve development efficiency.
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"Water shortage"—the hidden Achilles' heel of AI infrastructure
SpaceX’s prospectus lists water scarcity as a core risk to its AI computing power expansion for the first time. Data center cooling water is in high demand in drought-stricken areas, and investors are urging tech giants to disclose their water footprints. Water resources are transforming from operating costs into a factor in investment pricing.
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AI PCs are here, capable of locally powering 120B large models! NVIDIA redefines the "personal AI PC" dock with RTX Spark.
NVIDIA launched the RTX Spark superchip at GTC 2026, with computing power exceeding 1000 TOPS and a unified memory architecture supporting local execution of 120B large models, marking the birth of a new standard for AI PCs.
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Anthropic nears a trillion: An epic valuation curve over 5 years
Anthropic completes a $65 billion Series H funding round, with its ARR reaching $47 billion, surpassing OpenAI, and its valuation approaching $965 billion, transforming from $550 million to the new global AI king in five years.
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This Xiaohongshu image and text layout AI skill has found a way to generate images and text that bypasses AI annotation.
In February 2026, Xiaohongshu required all AI-generated content to be labeled. Three months later, an open-source project replaced model-based image generation with HTML rendering. Three technical approaches are diverging: AI-generated images directly, template engine rendering, and HTML skeleton assembly, each corresponding to different review risks and visual limitations.
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Why Sam Altman's "hydroelectricity theory" sparked a copyright controversy
Sam Altman's claim that AI will be charged by tokens, like water and electricity, has sparked controversy over data copyright and pricing. He provides an in-depth analysis of the business logic and ethical cracks behind the "AI utility."
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