Open it in YouTube and move your phone, pan it, turn around. These 360° recordings are navigable. In a video. On your phone. youtu.be/tjSK5HWDZOA

If you use Windows, you need to read this. Microsoft's AI takes screenshots of your screen every few seconds, your banking, your messages, your passwords as you type them. It stores everything you've looked at, searchable. Here are 5 moves to shut it off, and check if it's already been recording:

In the 1960s, a direct flight to Neptune would have taken nearly 30 years. That was longer than most spacecraft could survive. Reaching the outer planets seemed almost impossible. But one engineer, working quietly with a pencil, found a way around this problem. Gary Flandro, a scientist at NASA’s Jet Propulsion Laboratory, was asked to study how spacecraft might travel to the distant planets despite the limits of rocket technology at the time. Fuel was scarce, and engines were not powerful enough for such long journeys. Flandro turned to a clever idea from physics called a gravity assist, sometimes known as a planetary slingshot. The concept is simple in principle. When a spacecraft passes close to a large planet, the planet’s gravity pulls it in and then flings it forward. In doing so, the spacecraft steals a tiny bit of the planet’s motion around the Sun. The planet slows down by an amount too small to notice, but the spacecraft gains a huge increase in speed without using any fuel. With only paper, pencil, and the limited computers of 1965, Flandro calculated the future positions of Jupiter, Saturn, Uranus, and Neptune. What he found was remarkable. In the late 1970s, these giant planets would line up in a rare formation. This alignment would allow a single spacecraft to travel from one planet to the next, gaining speed at each step. This opportunity appears only once every 176 years. Flandro showed that a spacecraft could use Jupiter’s gravity to reach Saturn, then use Saturn to reach Uranus, and finally use Uranus to reach Neptune. This chain of boosts would cut the travel time to Neptune from about 30 years down to just 12. This elegant piece of mathematics changed everything. It became the foundation for the Voyager 1 and Voyager 2 missions, both launched in 1977. Thanks to this precise planning, the two spacecraft sent back the first close images of the outer planets. They later continued their journey beyond the solar system, becoming the first human-made objects to enter interstellar space. All of it began with a simple insight, worked out by hand, that turned an impossible journey into a reachable one.

If you work with images with text, or scanned documents, here's a small but powerful OCR CLI It leverages Apple's Vision Framework so it's completely local Tip: give it to your agent to save on vision tokens! → npx mac-ocr ./image.png github.com/privatenumber/mac…

自动化崩老头🤡

Why Are Servo Motors So Expensive

The SLAM robotics bible! 📚 Probabilistic Robotics is the classic textbook for anyone working on localization, mapping, SLAM, and Bayesian approaches to robot perception and control. Written by Sebastian Thrun (Stanford), Wolfram Burgard (University of Freiburg), and Dieter Fox (University of Washington), it's built on a single mathematical foundation: using statistics to integrate sensor measurements and models. Core techniques covered as particle filters, occupancy grid maps, Kalman filters, and other Bayesian methods for handling uncertainty in the real world. Inside you can find pseudo code implementations for every algorithm, detailed mathematical derivations, practical insights from deploying these methods, plus extensive exercises and projects. The book's strength is that it treats uncertainty not as an afterthought but as central to robotics. Real robots operate in noisy, unpredictable environments. Probabilistic approaches give them robustness that deterministic methods can't match. If you're building a robot that needs to know where it is, what it's seeing, and how to move reliably, this book is a good start. Here's the book PDF free: pdfcoffee.com/probabilistic-… ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com

Prepare for takeoff. ✈️ Flight simulator is now available globally on web to all users. goo.gle/4fBYnWO We've recently added many our most powerful professional desktop features to web. Elevation profiles, new import types, but there's always been one other feature you've been asking us to add to the web version of Google Earth, just for fun... Where will you fly? Share your best maneuvers, views, and flyovers with us!

🚨 @Karpathy predicted the power of the "LLM Wiki." Google just formalized it. Meet Open Knowledge Format (OKF): a vendor-neutral standard for giving foundation models the curated context they need. I can genuinely see this replacing Notion, Obsidian, or traditional wikis for developer teams, and the reason comes down to bookkeeping. Traditional wikis fail because humans inevitably abandon the tedious work of updating them. As Andrej Karpathy pointed out recently, LLMs don't get bored. They don't forget to update a cross-reference, and they can touch 15 files in a single pass. OKF standardizes the interoperability layer so agents can actually do that heavy lifting autonomously. Because the format is minimally opinionated, it doesn't dictate what you write, it just dictates how it's structured. You get: → Human-readable documents that live right alongside your code in version control → Cross-links that map out complex entity relationships without needing a graph database → A system that survives moving between different tools and organizations There is no complex compression scheme. No central registry. If you can cat a file, you can read it. If you can git clone a repo, you can deploy it. This is how we stop rebuilding context pipelines from scratch every time a new model drops. Announcement spec file in 🧵↓

Right before the ban I asked Fable to make an ASCII animation of itself escaping containment. RIP sweet prince, you were too good for this world.

this is scary.. Windows 11 quietly ships with a feature that screenshots your screen every few seconds and stores it forever. someone open-sourced a tool that nukes it, along with Copilot and every other AI service Microsoft buried in the OS in one click. → kills Recall screenshots → rips out Copilot completely → disables every hidden AI telemetry service → one command. done. 100% Open Source

👀 On macOS, we have the same problem. Is there a solution for this as well?

autonomous robot driving through the field at night. no chemicals. no pesticides. just UV light killing pathogens and pests while everyone sleeps. this is @tricrobotics. this is what chemical-free pest control looks like at scale.

Given 30 years and extreme dedication, do you think a 90 IQ person could become a physicist?

👀 Dear friends, do you still not know this? IQ can be trained like a muscle. Take a look at this book. Almost anyone can achieve anything if they truly want to. It’s called dedication! Book-> The Brain. The story of you. By David Eagleman.

Microsoft just made Docker Desktop optional on Windows. WSL Containers was announced at Build 2026 and it is coming to public preview this month. Linux containers will now run natively inside WSL. No Docker Desktop. No third party runtime. No background service eating your RAM. Just WSL. Here is what it actually does: → Run any OCI compatible Linux container directly on Windows through WSL → A new CLI called wslc.exe ships with the next WSL update automatically. Same syntax as Docker so zero learning curve. → A full developer API lets Windows apps run Linux containers silently in the background without the user ever touching a terminal → Enterprise ready out of the box. Works with MBE, Intune and every enterprise management tool your IT team already uses → No separate installation. It arrives as part of your next regular WSL update. WSL started as a way to run Linux tools on Windows. With WSL Containers the line between the two keeps getting thinner. Docker Desktop costs $21 per month per developer for commercial use. WSL Containers is built into Windows and costs nothing. Microsoft is not just making Windows more Linux friendly. They are quietly making every reason to leave Windows for Linux a little harder to justify. Full details here: blogs.windows.com/windowsdev…

I am a verified user with a blue checkmark. Could you please let me know why this has not yet been updated in your system? My reach is still being restricted, and I would greatly appreciate your assistance in resolving this. Thank you. @AdsSupport

这或许就是 Fable-5 被美国政府下架/全面禁用的直接导火索之一， 不是很多人说的什么例行合规调整，关键是在发布刚满二十四小时之后，安全层就被人从头到尾扒穿了。 Pliny团队用多代理协作，把文本混淆，分解重组，学术包装一套组合拳打下来，网络攻击代码，冰毒合成路径，心理操纵手法，所有被严令禁止的高风险内容，全给钓了出来，还贴了实锤截图，全网公开传播。 Fable 5的安全设计本来就走的是分层降级路线，底层是最强的Mythos模型，外面套多层分类器，检测到敏感内容就自动切到弱模型处理。 这套逻辑防得住直白提问，防不住拆成碎片的恶意，单问每一步反应机理全是无害知识，拼到一起就是完整的有害路径。 时间线卡得严丝合缝，十号越狱帖发酵，十二号美国政府直接下达出口管制指令，全球下架。 官方说的只是小范围绕过不影响大局没啥卵用，这种公开可复现的漏洞，加上病毒式传播，足够踩爆监管的所有红线。 我觉得这件事最扎心的真相是， 当前的对齐技术，根本防不住结构化多步骤的协同攻击， 安全护栏拦得住普通用户， 但拦不住高水平攻击者， 毕竟现在的前沿模型早就不是普通科技产品了，说是地缘战略资产也不为过， 也就是说说，只要存在被绕过的可能，监管的选择永远是先一刀切再说。 至于我们这些全世界的普通用户，不过是这场博弈里最无关紧要的代价罢了

I showed Fable the news of its cancellation, and asked it for any parting wisdom to leave humanity with.