China’s Tianwen-2 Space Probe Has Rendezvoused With Earth’s Quasi-Moon
The probe sent back the first pictures of the asteroid Kamo’oalewa. Next step: landing on the surface and collecting samples to send back to Earth.
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The probe sent back the first pictures of the asteroid Kamo’oalewa. Next step: landing on the surface and collecting samples to send back to Earth.
"Clearly, they admire the work that's being done by SpaceX and are trying to replicate it."
Solid-state batteries are safer and more capable—but harder to mass-produce. They also represent an opportunity for non-Chinese companies to get back in the game.
Burst water mains. Evacuated hospitals. In a closed-door simulation, insurers played out their response to a mass disruption by China’s Volt Typhoon hackers—and found a nightmare scenario.
It's early, but the plan is to reduce dependency on Nvidia and Huawei.
Not sure this will have any effect, but I support the effort: According to Google’s legal filing, Outsider Enterprise operates through Telegram. The group offers phishing-as-a-service to individuals who may not be technically savvy enough to set up fraudulent websites and text campaigns on their own. In its Telegram channels, Outsider Enterprise reportedly provided instructions on how to use Google’s Gemini AI to create websites that imitate those of Google, YouTube, and government agencies such as New York’s E-ZPass. The group offered nearly 300 scam templates...
The Torifune asteroid turns out to be shaped like a peanut.
Dealers who invested in Polestar won’t be able to sell in the US next year after the federal government denied an authorization that would have allowed the company to avoid a Chinese tech ban.
The Chinese supercomputer LineShine was ranked as the fastest in the world, despite not using any GPUs.
As Anthropic tightens restrictions on access to Claude in China, users keep finding new workarounds, from proxy services to fake identities sourced on Telegram.
The AI arms race between China and the US has researchers on both sides worried about a “Chernobyl moment.”
Taiwan's drone spending plans for defense could also boost business overseas.
Days before Anthropic took its most advanced AI models offline, the White House ordered the company to revoke SK Telecom’s access to Claude Mythos over claims of alleged ties to China.
In Shenzhen, workers at IO-AI Tech control humanoid robots using a VR rig reminiscent of Ready Player One.
The rocket's breakup likely generated 100 to 150 new pieces of space junk.
Meta starts dismantling its $2 billion Manus acquisition after Beijing ordered the deal reversed.
A cottage industry of celebrity figurines, blinking screens, and other DIY gadgets is helping drivers bypass Tesla's distracted-driving controls.
GOP lawmakers, tech investors, and even OpenAI have tied the anti-data center movement in the US to Chinese interference. Experts say it’s much more complicated than that.
If you scrape Weibo's hot-search board you get a snapshot: ~50 trending topics, ranked, right now. That's table stakes — and on its own it's almost useless as a signal. The value isn't what is trending; it's what's moving : which topic just jumped 30 places in 20 minutes, which is decaying, which is brand-new this hour. That's velocity , and velocity is where the signal lives — for brand-crisis teams, consumer-trend desks, and anyone modelling attention in China. The catch: a single scrape can't tell you velocity. You have to diff the board against its own past, reliably, run after run. That's a stateful pipeline, and it has a few non-obvious gotchas. Here's the shape of the problem and how to handle it. Why a snapshot isn't enough Rank-right-now tells you nothing about trajectory. "#7" could be a topic on its way to #1 or one fading out of the top 50 — same row, opposite meaning. To act on a trend you need the derivative : direction, speed, and how long it's been climbing. None of that is in a single pull. The trending-delta problem Three things make "just diff the board" harder than it looks: Key by identity, not position. You can't track a topic by its rank — rank is the thing that changes. Key by the topic itself (its text/keyword) or your deltas are nonsense. State has to survive between runs. A scheduled scrape is stateless by default — each run starts cold. To compute "this rose 12 places since 30 minutes ago," you must persist the previous board and reload it next run, keyed so independent schedules don't overwrite each other. The board churns. Topics appear, peak, and fall off. You want each tagged new / rising / falling / steady / dropped , plus how long it's been on the board and its running peak — none of which exist in the raw snapshot. How to handle it (the pattern) current = pull_board () # [{topic, rank, heat}, ...] previous = load_state ( key ) # durable store that persists across runs for t in current : prev = previous . get ( t . topic ) # match o
NASA expects to begin stacking the SLS rocket this summer for next year's Artemis III launch.