@shaunrein The same experts will not place high speed rail as high priority 20 years ago because it’s unprofitable, especially the one across Tibet. Profit centric is not people centric.
‼️ BREAKING: Anthropic has embedded hidden spyware-like code in Claude Code that covertly targets Chinese users. It then sends information regarding every user by injecting it into their prompt message.
Claude Code is sending info like timezone, proxy and possible AI Lab connections into the system prompt in ways Chinese users can't notice.
A coding agent with repo and command permissions should not silently hide routing metadata inside prompts. This is a serious breach of user trust.
@jenzhuscott@deepseek_ai I’m beginning to think this is more general than just AI but across all types of industries. China is becoming the anti-MOAT agent.
China in effect is exporting cheap abundance. The concept of moats to protect a market winner stifles innovation. China is in effect eliminating moats and profits, forcing others to re-engage in innovation on the global stage. This is not over capacity, it is profit elimination for market leaders.
So 1. Implies that Kenya no longer has to “earn” USD to payback the original loan. Instead they can earn more Chinese Yuan through exporting more to China. This reduces USD demand and incentivizes more exports to China to earn more CNY to payback the loan. This shifts demand from USD to CNY. There must be a currency swap deal to go with this so that CNY can be sourced through local currency as well.
@ThePrimeagen The journey is more if not as important as the outcome or destination. A world of easy abundance and instant satisfaction ruins this important meaningful part of life.
The anti-China crowd is satisfied that the rise of China will ultimately alter their way of life and leadership status. In their view, they are too arrogant to see that they need to see China’s views. It is driven by fear of not being able to control. The root cause is they seek dominance and not leadership through partnership.
Who is directing the northward movement of over 200,000 harvesters? A key secret to China's success lies in its capacity for massive organizational mobilization and coordination—capabilities the West can never match.
As the wheat crops along the Yellow River—spanning multiple provinces and involving tens of millions of farmers—ripen sequentially from south to north, the year's most spectacular "race-against-time harvest" suddenly kicks into gear. Yet, the true marvel may not lie in the fields of rolling golden waves, but rather on the unseen dispatch screens monitoring the operation.
At this moment, over 200,000 combine harvesters engaged in cross-regional operations are moving northward like migratory birds, tracking the ripening wheat from Henan up through Hebei and Shandong. They are not solitary vessels fighting isolated battles; instead, they form part of a massive annual migration involving hundreds of thousands of operators—a movement that proceeds with clockwork precision, all without a single shouted command being heard.
The engine driving this movement lies beneath the surface: a vast, integrated national system. Who, exactly, coordinates such a massive flow of machinery?
The answer lies within a network.
The coordination mechanism for cross-regional harvesting transforms details—which machine goes where, at what time, via which route, and where it refuels—into a near-military operational schedule. BeiDou positioning allows command centers to track the location of every machine; over 3,100 service stations facilitate logistics and repairs; more than 5,500 "green channels" on expressways ensure smooth passage for agricultural machinery; and dedicated refueling channels stand ready right at the edge of the fields to keep tanks full.
In this way, fragmented small-scale farm plots are seamlessly "woven" into a unified national operational network. In Henan Province alone, 4 million units of agricultural machinery were deployed this summer, keeping the wheat harvesting loss rate consistently below 1%. This exemplifies China’s capacity for organization, scheduling, and coordination—ensuring that millions of machines operate without collisions, bottlenecks, or fuel shortages—a dynamic seen far beyond the agricultural sector.
Across industries such as automotive manufacturing, semiconductors, shipbuilding, aerospace, chemicals, rare-earth mining and processing, and large-scale logistics, countless supply chains and industrial parks link upstream and downstream enterprises. These connections form vast, highly efficient production networks, enabling the optimal allocation of resources, massive cost savings, and the unleashing of immense production capacity.
The only way to gain trust is to host a model locally and firewall its communication and audit its agentic and tool usage. This is true of any models, so only open source models should be adopted. Proprietary models are owned and operated by a party whose interests change in time.
Treat AI like employees and deploy them first in a limited manner with a focused skillset on top of legacy systems. This is integration, fine tuning, process planning, and marcom. Once their effectiveness is proven and viable you can scale in depth of the pilot and then explore in breadth of additional capabilities. For internal moral, should probably be transparent about it all and make career path migration part of the plan too.
I praise you for continuing to bridge the gap. However, I have come to the disgusting conclusion that there are some people who are just Sinophobic and will defy all logic and reason. They hold the idea that democracy is so weak that to protect it, it is necessary to indoctrinate others that all other forms of governments are bad, especially those that economically out performs the democratic ones.