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Testing Grok Imagine 2.0 against other image models: Prompt: "A mathematician drinking from an object of genus 1" ChatGPT gets trapped by the donut analogy: it turns a donut (genus 1) into a mug, accidentally creating an object of genus 2. Grok gets it right: a regular coffee mug already has genus 1.

The "Web app" standard for the Agentic Web/OS has arrived. It is essentially the open standardization of the third-party app/plugin ecosystem found in ChatGPT. It consists of Skills and MCP, with MCP covering standards such as MCP Apps and MCP-UI, which allow third-party apps to embed GenUI-based interactive interfaces directly into the main Agentic Web/OS interface. WebMCP is about "embedding Tools within UI," while Agent Plugins / MCP Apps are about "optionally embedding UI within Tools." The core of this kind of "app" ecosystem are Tools, rather than any specific UI representation, such as cards, icon + Activity, or windows. AppFunctions / AppIntents / AppActions on Android, iOS, and Windows, like WebMCP, also belong to the "embedding Tools within UI" model. The current CLI ecosystems around Coding Agents such as Codex and Claude Code are effectively local "native app" ecosystems: apps have to be pre-packaged, downloaded, and installed, and users cannot realistically install too many of them. By contrast, Agent Plugins / MCP Apps can be regarded as a kind of "Web app" ecosystem, because their core functionality is retrieved from the Web on demand. Skills, like manifest-style files such as mcp.json, are lightweight distributions of code with declared metadata, somewhat like HTML: they can be discovered, loaded, activated, and used on demand, in a process analogous to HTML rendering but much more intelligent. This creates an opportunity to extend existing Web standards, which are centered around the distribution of UI resources. Instead of RESTful HTTP exposing only a limited set of actions over resources, the Web could expose a vast long tail of Tools that AI can discover and understand, and that can optionally embed UI. A general-purpose Agent capable of discovering, loading, and running Agent Plugins / MCP Apps on demand would be equivalent to "the browser + Google" of the desktop Internet era. If such an Agent becomes a super app, it could easily abstract away the operating system and become the single dominant super app for most user scenarios, much like the desktop Internet era, rather than the mobile Internet era with many parallel super apps. So such an Agent will naturally tend to integrate into the entire OS and even the hardware itself, much like IE vs. Netscape. That is also why Google, OpenAI, and even ByteDance are determined to build consumer electronics hardware products.

THIS GUY MAKES COMPLEX AI AGENT CONCEPTS RIDICULOUSLY EASY TO UNDERSTAND. No jargon wall. No assuming you already know what a reward model or an evaluation harness is. Just a straight line from "I have no idea how agents actually work" to "oh, that's genuinely simple." The best explainers do not simplify by cutting corners. They simplify by finding the one analogy that makes the whole thing click.

Many have asked how this photo was made. This is my explanation. The ISS rotates about its pitch axis as it orbits Earth at 17,000mph to keep its nadir view constant. Because of this long exposure photography turns stars into arced lines. Sidereal clock drives on Earth match the planet's rotation to see stars clearly. I knew one designed for space could do this too. So a camera mount was custom built at @RITtigers to rotate once every 90 minutes using a 60 to 90 toothed gear system, cancelling out the orbital motion of ISS and allowing the capture of distant stars as fixed points! In essence, it is a a rotational coil spring powered analog star tracker. It was machined out of aluminum and is entirely mechanical to bypass NASA's strict electrical requirements for cargo. We had to get creative! After Expedition 72 it was safely returned to Earth and is to be displayed at RIT. Which I am pleased to say because a similar barn door tracker I made from spare parts on Expedition 6 for nighttime city photography was destroyed in an atmospheric trash disposal! Photography is an important part of sharing the journey to new frontiers for all people of Earth!

No pixels No graphics card No lines of code This is Tennis for Two, created in 1958 at Brookhaven National Laboratory by physicist William Higinbotham To play, you held a custom aluminum box, twisted a knob to dial in your trajectory angle, and slammed a button to hit the ball Inside? An analog computer, vacuum tubes, and clicking electromechanical relays calculating gravity and bounce physics in real time The entire $200B modern gaming industry started as a glowing dot bouncing across an oscilloscope screen

Texas Instruments $TXN posted Q2 revenue of $5.5B, driven by strength in automotive and data center markets. Q3 OUTLOOK: Management is targeting up to $6.15B in revenue for Q3 on broad-based demand recovery. CASH & DIVIDENDS: $TXN delivered $6.5B in trailing free cash flow while maintaining an A+ dividend consistency rating. THE RATING: Elevated inventory balances keep the Seeking Alpha Quant score at a neutral HOLD for now. Are you holding $TXN for its top-tier dividend consistency as the analog cycle recovers?

50 years ago, @NASA's three-legged Viking spacecraft landed on Mars. It was our 1st ground-level glimpse of the Red Planet. 🤩 Today, analog missions on Earth are helping us prepare to send humans to Mars!

But AGI is not the same as ASI (artificial superintelligence). To see the difference, let us zoom into what things might look like one year before the singularity. We also need to add a third line to the chart: the centaur (human + machine). An analogy here is chess. Machine surpassed the average human in the late 1970s, and surpassed the top human (Kasparov) in 1997. But human + machine continued to beat machine alone all the way until around 2017. What did the twilight of human + machine in chess look like? Actually, it did look like humans being relegated to more and more "high-level strategic thinking" functions, while bots managed the move-by-move. Very similar to vibe coding in 2026. Before we get to a point where there are no areas where our input is economically helpful, we will be in a regime where there are only a few such areas. And because we humans are scarce, those few areas will become the global economy's bottleneck - they will be the only thing you can't optimize down to near-zero cost (and latency), and so all our attention will go toward those tasks.

离谱！打死我都想不到，有公司愿意把这种东西公开出来。 AI 视频圈最没用的就是"只放成片"，成片可以随便给人看，但工程文件是命根子。 Higgsfield 这次把 Originals 的工程文件全开源了： 每个镜头的完整 prompt、角色参考图、音频母带、生成参数，点开项目全能看。 我翻了一圈，学到了很多： 角色先做成一整套参考图锁一致性，每个镜头单独一个文件夹，哪个镜头坏了只重跑那一个。 看完你就明白了，大片是把 AI 当真剧组管出来的，写一条 prompt 等奇迹这种事从来不存在。 挑了个我最喜欢的镜头，提示词原文长这样： Seedance 2.0 on Higgsfield AI Full open-sourced prompts & assets below: Prompt: Slow-motion handheld close-up, 16:9. Shaky organic handheld shot shoving in close on an older grey-haired man in a soaked white shirt and tie, chest-deep in churning green-grey flood water clutching a glass bottle, mouth open mid-shout — while all around him a dense crowd churns: a woman shoves past his shoulder, two men wrestle a floating chair behind him, someone falls backward into the water beside him sending up a slow sheet of spray, more panicking bodies wade and thrash in the background. In slow motion water explodes across the whole frame, droplets suspended everywhere. Dynamic jostling handheld movement at water level in the thick of the crowd. Sickly institutional palette — seafoam green, cream, muted teal, cold reflective water. All faces anatomically correct, stable, realistic, genuine emotion, no warping. Heavy coarse analog 35mm film grain baked into every frame, thick and consistent, grain crawling over highlights and shadows, like a scanned celluloid film print, never clean, never digital-looking. Flat overhead fluorescent light, dramatic slow-motion intensity, cinematic photorealistic, ultra-detailed.