Man in Overalls

First, they came for our data and we did nothing. Next they came for our energy and we complained. Then they came for our jobs and we protested. Finally, they came for our freedoms.

THIS GUY BUILT AN AUTOMATED PIGEON DEFENSE SYSTEM FOR HIS BALCONY pigeons kept nesting on his balcony so he engineered a full detection and deterrent system here's how it works: 1\ camera captures video in real time 2\ an AI model identifies the pigeon in real time 3\ a water gun mounted on servo motors turns toward it 4\ sprays the pigeon automatically the hardware: > an orange pi 5 running the detection model > a disassembled electric battery-driven water gun > USB camera > 2 servo motors for aiming > resistors and a transistor to trigger the water gun the detection runs on an AI vision model (yolo world v2) using the rockchip 3588's built in neural processing unit. the best part is that it's not limited to pigeons. because it uses open vocabulary detection, you can reprogram the target to any object. squirrels, cats, raccoons, whatever is messing with your balcony fully automated, runs 24/7, no manual intervention needed

Deepseek just casually closed the biggest AI round in Chinese history but most people in the West still don't get it: This isn't a normal startup. The Chinese government is essentially building DeepSeek into the AI company that runs the country. Back in February, Xi Jinping pulled together a small private meeting in Beijing with the most important CEOs in China: The founders of BYD, Huawei, and a few others. He invited DeepSeek's founder, Liang Wenfeng, into that room and personally told government officials to start using DeepSeek by name. That kind of direct endorsement from the top of the Chinese government almost never happens. After that, the money started pouring in from the government itself. There's a giant Chinese government fund called Big Fund III. It has over $50 billion to spend on AI and chips. It only invests in companies the Chinese government wants to win. Big Fund III is now backing DeepSeek alongside Tencent in the round that just closed: $7 billion at a $51.5 billion valuation. The founder, Liang, personally put in $3B of his own money and still owns 90% of the company (unheard of in the West)!! DeepSeek also gets tax breaks and government research money from a special "high-tech" status the government granted it back in 2023. And around all of this, the Chinese government is spending massive amounts of money to build the AI infrastructure DeepSeek needs to grow. 17 Chinese provinces are giving out free compute credits worth up to $300,000 to AI companies. Beijing has spent over $6 billion building giant data centers in the western part of the country. But the most insane part is how fast they're rolling DeepSeek out across the country. 72 local Chinese governments are now running DeepSeek inside their own offices to handle paperwork and admin. Shenzhen, a city of 17 million people, gave DeepSeek to 20,000 of its government workers. Document approval times dropped by 90%. 90 of China's biggest hospitals are using DeepSeek on real patients to help doctors make decisions. One hospital said it became 40x more efficient at patient follow-ups. > Universities are running it on their supercomputers. > Hotel chains use it for customer service. > Local police are using it to help find missing people. Then in August, the Chinese government made it an official national policy. They issued something called "AI Plus" basically ordering every Chinese ministry to start using AI in everything they do. There is nothing even remotely like this happening in the West. Sam Altman doesn't own 90% of OpenAI. The US government isn't putting billions of dollars directly into Anthropic. The president isn't bringing AI founders into the White House to publicly tell other government agencies to use their product. In America, AI companies compete with each other for customers. In China, one company is being chosen by the government, funded by the government, and installed inside the government, all at the same time. It’ll be interesting to see where this approach leads, that’s for sure. V4.1 (Deepseek’s agent model) ships in June.

Sure but it’s not a zero sum game in this regard. If you control the US government through lobbying then you control the money printer. The lobbyists will find it much more difficult to have that level of control in China. So they’re incentivized to keep the game going for as long as possible in the west. Gains in productivity allow for more money printing while increasing monopolization/profits. Big business benefits more from better infrastructure than anyone. They also profit from building it.

🇨🇳🇺🇸 These are many of the key nodes within the Western corporatocracy operating inside the emerging multipolar world order. The financial-industrial complex, military-industrial complex, and technological-industrial complex are increasingly intertwined. Full list of business executives joining Trump on the trip to China: Jane Fraser (Citi) Tim Cook (Apple) Elon Musk (Tesla) Brian Sikes (Cargill) Larry Fink (BlackRock) Kelly Ortberg (Boeing) Ryan McInerney (Visa) Chuck Robbins (Cisco) Jacob Thaysen (Illumina) Jim Anderson (Coherent) Sanjay Mehrotra (Micron) Cristiano Amon (Qualcomm) Michael Miebach (Mastercard) Dina Powell McCormick (Meta) David Solomon (Goldman Sachs) H. Lawrence Culp Jr. (GE Aerospace) Stephen Schwarzman (Blackstone) Regardless of the political branding (nationalist, globalist, left, or right) capital, technology, defense & finance coordinate at the highest levels across borders. That is the real architecture of the modern multipolar system.

🚨 SOMEONE JUST KILLED THE REAL ESTATE INDUSTRY A guy scanned an entire house with his phone. Uploaded it. Now anyone on Earth can walk through it in a browser tab. No app. No VR. No agent. No appointment. Click → you’re inside. Every room. Every angle. Every shadow. Photoreal. The numbers are insane: - Agent fee on a $500k home: $15,000 - Cost to make this scan: ~$200 - Time to “tour” 50 houses: one evening - File size: smaller than a TikTok The science is wild too: It’s called 3D Gaussian Splatting instead of polygons (how games render), it uses millions of tiny glowing “splats” of color and depth. AI reconstructs reality from your photos. The result loads on a phone and looks like you’re THERE. The grift opportunity is even wilder: Freelancers are already charging $300–$800 per scan for realtors, Airbnbs, venues, car dealers, museums. One person + one phone + one weekend = a business. 100% Open source. Built on PlayCanvas.

The Two Different Paths: We are about to find out which path we are on.  As I said in my last note, from my conversations with a number of world leaders in a number of countries, and as seems obvious to me, there will either be a) a U.S. win over Iran, which will require taking control over the Strait of Hormuz and assuring that Iran's nuclear program is dead—i.e., defanging Iran, or b) a U.S. loss, which is the result if these things don't happen. Most senior policy makers I speak with believe that we are likely headed down the b) path and that will be made clear soon. It needs to be made clear soon because continuing on the current path or being more forceful will cause sharp increases in oil and gasoline prices and great difficulties during the high travel season, bad political consequences for President Trump, and difficulties in his upcoming meeting with President Xi in China. So, we should have that verdict soon. The perception that the b) path is most likely is already leading to a view that the United States will not be a reliable protector against possible opponents like Russia in Europe and/or China in Asia, and that is already leading to actions being taken that are sensible in light of that belief, like leaders paying "tribute" visits to China. As explained before, this set of circumstances is likely to have some analogous consequences to Great Britain losing the Suez Canal in 1956. By the way, this is also happening at a time when China is earning huge amounts of money through its very strong exports—so much money that it is difficult for those Chinese earning the money to know what to do with it. This is making China a very important player in world capital markets as well as world trade. In other words, these events are making China geopolitically and financially stronger.

A guy in Alberta is selling tractors with zero computers. No software. No sensors. Just a diesel engine you can fix with a wrench. 400 American farmers tried to buy one after a single interview. Sometimes the moat isn't more features. It's less.

Tech stocks in the S&P are up almost 20% so far in April, poised for the best monthly performance since 2002. Nvidia's market cap has risen by $1.25 trillion in the past four weeks, reaching $5.26 trillion.

My doctor put me on a statin after my heart attack at 52. I trusted him. I took the pill. I never asked a question. Then I found this study. 60 clinical trials. 323,950 people. Every cholesterol lowering drug ever made. Statins. PCSK9 inhibitors. Ezetimibe. They measured how much each drug lowered LDL cholesterol. Then they measured whether people lived or died. The line is flat. It did not matter if they lowered LDL by 10% or by 70%. The death rate did not change. In some trials people died more. 323,950 people. Near zero benefit. Published in the Journal of Cardiovascular Pharmacology. 2023. Nobody showed me this chart. Not my cardiologist. Not my pharmacist. Not the drug rep who visited my doctors office every month. I had to find it myself. After the heart attack.

🚨 BREAKING: A new role is quietly emerging and it’s about to dominate the next 5 years. It’s not “AI engineer.” It’s not “prompt engineer.” It’s the Agent Operator. And it will sit inside almost every organization. Most people are still thinking about AI as a tool. That framing is already outdated. What’s actually happening is a shift from: humans using software to humans managing autonomous agents that execute work This is a fundamental redesign of how work gets done. So what is an Agent Operator? An Agent Operator is the person who: • Designs how agents interact with real workflows • Connects tools, data, and systems into agent pipelines • Translates business problems into executable agent behavior • Monitors, corrects, and improves agent performance over time They don’t just “use AI.” They orchestrate outcomes. and this matter because Every function marketing, legal, finance, biotech is becoming “agent-compatible.” Not because companies want it. Because they won’t have a choice. Agents can: • Run research loops • Execute multi-step workflows • Integrate across tools without APIs breaking the flow • Operate 24/7 at near-zero marginal cost The bottleneck is no longer capability. It’s implementation inside real-world systems. Required skills for AI Agent Operator role: → MCPs (Model Context Protocols) Understanding how agents access tools, memory, and structured context. → CLIs (Command Line Interfaces) Because serious agent workflows won’t live in GUIs—they’ll run in programmable environments. → Writing skills (the file kind) Clear specs, instructions, and structured documents. Agents run on precision, not vibes. → agents dot md fluency The ability to define agent roles, constraints, memory, and tool usage in persistent formats. → Business acumen Knowing what actually matters: Where automation creates leverage, not noise. What happens next Enterprises will begin to redesign workflows: Not around employees using dashboards… But around agents executing tasks. That means: • SOPs → Agent playbooks • Teams → Human + agent hybrids • Tools → Composable agent systems When that shift happens, companies won’t just need engineers. They’ll need operators who understand both the system and the business. The leverage is asymmetric One strong Agent Operator can: • Replace fragmented SaaS workflows • Multiply team output without adding headcount • Turn ideas into execution systems in days This is not incremental productivity. It’s operational transformation.