Jun Wu

The number that should terrify every Western automaker is 1,500 kW. BYD's Flash Charging pushes 1,500 kilowatts into a car battery. The fastest charger you can find in the US today maxes out at 350 kW. ChargePoint is bragging about rolling out 600 kW chargers sometime in 2026. BYD is already at 2.5x that. Deployed. 5,000 stations live. 20,000 planned by December. The car in this video, the Song Ultra, starts at $22,000. Five minutes of charging gets you 250 miles of range. The fastest-charging EV you can buy in America is the Lucid Gravity at 400 kW, and it starts at $80,000. So BYD is charging 4x faster at one-quarter the price. And Geely just beat them last week with a 4-minute charge. The Chinese automakers aren't competing with each other on range or styling anymore. They're in a charging speed war that Western companies haven't even entered. BMW's response was literally "pursuing quick charging forces other compromises." That's the "640K ought to be enough for anybody" of the EV era.

Anthropic claims they won't launch Mythos because it exposes bugs in software, making it too dangerous. I'm the creator of a new language named Bend (19k stars on GitHub). Its version 2 is coming next month, including a 10x faster CPU and GPU runtime, compilers to 5 different languages, a massive stdlib, and, most importantly, a *complete proof checker*. That makes it the first general language that can prove the correctness of its own programs, so, conveniently enough, it could be the way out of this very mess Anthropic is worried about. Sadly, Bend2 is now reaching 100k lines of code, making it increasingly hard for us to audit and verify it all. Proof checkers are particularly security-sensitive, because a single bug can lead to false theorems being accepted, undermining the entire trust model of the system. Even Lean, Coq and Agda had bugs in the past. We just finished Bend's initial consistency checker. Having Myhos audit our implementation would greatly improve Bend's security. In turn, a secure Bend could greatly improve the security of all other software, providing a solution the very problem that prevents Mythos from being released. I hope this message reaches someone from Anthropic, and they kindly consider letting Bend2 be part of Glasswing!

$PLTR valuation makes ZERO sense But then why do institutions keep buying it? What do they know that you don't? I work in BIG DATA analytics and let me share the secrets of Palantir in the most basic way Palantir has monopoly on Automated Governance, serving as the ultimate Operating System for Data and Global Decision-Making. The world is starting to see the massive benefits of AI agents developed on the Palantir platform, which boost efficiency, drive higher earnings, and outpace the competition. Over time, Palantir will reign supreme among AI agents, with all other AI entities eventually integrating into the powerful Palantir Ecosystem. This is just the beginning. Think of $MSFT Windows. Before Windows, people relied of MS-DOS (which is another OS) and before that it was CP/M which were really bad Operating Systems. The Tools didn't talk to each other. You couldn't multitask. You couldn't perform Technical Analysis while at the same time executing the trades. You couldn't stream your games on Youtube while playing it. It was limited and fragmented into separate sessions and executable files (.exe). You were LIMITED, much less efficient. It is exactly the same for all Governments and Corporations and right now. They've grown so big, beyond scalability. Tons of data are being generated by too many programs, locations and departments. Each source of data have different expertise of people with totally separated ownerships and power over the data (e.g. Business Dept. vs Manufacturing Dept). Just like it was inefficient or impossible for MS-DOS to transfer data from one application to another in real time. It is inefficient to transfer the data from one department to another for a simple decision-making. It takes so much time, resources and too many meetings. It could take days if not weeks to get it done. Why? Because of ownership and qualifications over the data. If you don't work in the Business department then you don't qualify to play with that data. If you don't work in manufacturing department, you can't own the data. So in order to unify the two data sources. You are reliant to different groups. That's only one small example. Think of your responsibilities in your own household. One partner is probably more accurate on handling the grocery list and school events while the other is more reliable in fixing cars and backyards. As a 3rd person (perhaps an accountant), you would be reliant on each of them to provide the receipts for their own spendings. This is where Palantir's Ontology kicks in. Voila, it unifies every single data source and specialties within the company. Think of Palantir's Ontology as a digital map for a company's data. It organizes all the information in a way that makes sense, connecting different pieces of data to each other and to real-world things, like products, equipment, or customer orders. Imagine you have a messy room with all your stuff scattered around. The Ontology is like a system that helps you organize everything neatly, so you can find what you need quickly and easily. It's a way to make sense of a lot of data and use it effectively. Palantir solves scalability and reduces big corporations and governments down to its core principles, to make a good decision. With Palantir, it is much easier to grow, digitally. “There were 5 exabytes of information created between the dawn of civilization through 2003, but that much information is now created every two days.” — Eric Schmidt “Information is the oil of the 21st century, and analytics is the combustion engine.” — Peter Sondergaard “Without big data, you are blind and deaf and in the middle of a freeway.” — Geoffrey Moore Companies don't like to be blind and deaf in the middle of a freeway nor to be underperforming to be punished by the stock market. Eventually, all the data we generate will be more complex and too much for humans to digest them all. We will eventually need a AI to do that job for us but more importantly we need a stable platform for AI agents to stand on, you can't throw an AI agent in the water and expect to swim. AIs need.. ONTOLOGY. Think of AI agents as Culinary Chefs. The Palantir AI chefs will have all the ingredients and tools in ONE COMMON PLACE to make magic happen, enabling on-the-fly decision-making without the hindrances of bureaucracy or data ownership issues. This unity is the game-changer. Palantir is... A Super Integration Company And that is vastly more superior and transformative than the hype of 'AI' You can hire the best Chef in the world but without fresh ingredients and tools, he will never be effective. So that's why it's not just about AI agents, it's more about what's available to them, a unified kitchen full of many ingredients, recipes, assistants and tools. PALANTIR ONTOLOGY is precisely that Kitchen, an Operating System of Data and Global Decision-Making Just like how $MSFT has become essential to our every day lives, $PLTR will become essential to every single businesses and governments in the world. It's just matter time. The monopoly is here to stay. Is $PLTR valuation through the roofs? Hell Yeah, but what's the alternative? NONE