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[#박지훈#] ⠀ 지훈이로 가득해 천국 같던 Hello82 LIVE 윙생샷이 팬카페에 업로드되었습니다! ⠀ ✔ Hello82 LIVE 촬영장의 지훈이가 궁금하시다면 링크를 통해 확인해 주세요💛💚💖 ⠀ #PARKJIHOON# #윙생샷# #Hello82# #Build_A_Show#

[#JIHOONNow#] #Hello82# 에서 지훈이와 재미있는 시간 보내셨나요?! 지훈이와 메이가 함께 소통하며 만들어간 #Build_A_Show# !! 역시 지훈🐰 + #메이# 🌸 = 에너지 MAX🔥 #박지훈# #PARKJIHOON# #MyCollection# #Gallery#

🦔Someone is buying Japanese used books by the ton. Not novels or comics. Philosophy, history, medical law, Edo-period cultural texts. Multiple buyer accounts all ship to one logistics center in Okayama Prefecture that won't answer questions. Export records show over 50 tons, roughly 100,000 volumes, shipped to the US since last year. No buyer has been identified. Separately, court documents confirmed Anthropic's "Project Panama" bought millions of books in the US, cut the spines off, scanned them, and shredded the originals. An internal memo said the goal was to "destructively scan all the books in the world." Similar operations have been reported across Europe. My Take Anthropic's US book operation came out in court filings earlier this year. Project Panama. Millions of books, cut the spines off, scanned, shredded. Their VP chose the codename so nobody outside the company would find out. That story broke and apparently the same operation just moved to Japan. Anonymous buyer accounts, a warehouse in Okayama that won't take questions, and 100,000 volumes of specialized academic texts that nobody buys to resell. I don't know how you build a trillion-dollar industry on material you had to acquire in secret through middlemen because you knew the public would object. Authors spent years on those books and now they're fed through a scanner and thrown away so a chatbot can sound smarter. If the data was free to use, they wouldn't need codenames and anonymous warehouses. The lawsuits over who owns this material have barely begun and I think the copyright exposure across the whole AI industry is enormous. Anthropic's internal memo said the goal was every book in the world, which describes the foundation of the product. Hedgie🤗

Modern dating really shows you how little people give a fuck about your feelings, someone will talk to you every day, build a whole connection, make you feel seen, heard, and valued, and then switch up out of nowhere like none of that ever mattered, leaving you to sit there wondering how it was so easy for them to just not care.

I used Grok 4.6 to build a 2D agent simulation of The Office. Here are notes and observations on 4.6: It is a huge step up from 4.5 - both in the quality of visual outputs and in the breadth of work: personality, features, and finding usable assets for this project. The editorial content and writing were good - I like the "feel" of this model. One of the biggest wins for 4.6 is speed. The throughput (~80 tok/s) and latency are so good that it feels Composer-adjacent - something @ericzakariasson called out in his writeup. That speed + cost + performance makes for a true "workhorse" model that's practical for both personal and work use. My goal was to simulate The Office through "agents" that behaved like the characters - including all of the neuroticism and idiosyncrasies that made the show so funny. I knew what I wanted artistically - I've built similar 2D apps with pixel art. I asked Grok 4.6 to research psychological modeling, pull character descriptions, find references for the cast, and assemble 2D sprites with the Universal LPC sprite sheet generator and some RPG tilesets I grabbed online. I rattled a brief into the @cursor_ai mobile app late one night at the Cursor office and woke up to an MVP. Then I spent a day or so spamming cloud agents until the simulation worked how I liked. The cool part is that Grok did the simulation, art, and research on its own: - Every couple of minutes, each person scores a few possible actions and picks one. They pathfind around desks, work, grab coffee, talk at the cooler, hide in the annex, or end up in a meeting. - Click someone and you can inspect traits, needs, mood, relationships, and whatever they're doing right now. You can also speed time up, force Michael to call a meeting, or roll a random office event. - Each character has Big Five scores that bias what they tend to do. Needs like work, social, caffeine, status, and comfort rise over time and fall when they do something about them. - Grok reconstructed the layout from Dunderpedia (Office Wiki) and online sources - Michael's office and the conference room on the north glass, Pam at reception, sales and accounting in the bullpen, the annex to the east, restrooms and the warehouse down the stairs. - Grok helped me find a few sprite sheet packs to implement. I was surprised at how accurate some of the character sprites were - from hair color to clothing. The combination of a performant model, cloud workspaces, and high throughput made for a really fun devex - the amazing folks at @cursor_ai and @SpaceXAI make my job easier everyday. A huge shout-out to @_Brian_Zhang, whose Notion hackathon project inspired this exploration.

🚨 NEW GROK BUILD UPDATE 🚨 v1.0.1 — 2026-08-10 Updates: • /rewind now only truncates conversation history instead of files as well and asks for confirmation by default. • Managed MCP servers are now only available through the gateway catalog. Features: • Subagent spawning is now bounded; wide fan-outs queue instead of exhausting file descriptors. • New grok du command shows disk usage of ~/.grok including worktrees and sessions. • Tools now report whether they only read data, enabling safer restricted agents and subagents. • Sandbox workspace sessions can now limit which bundled skills are advertised via caller config. • Renaming a session from the dashboard now starts with the current title prefilled for easy editing. • /usage, /session-info, and /context now open in a tabbed modal instead of adding text to the conversation. • grok trace exports now bundle memory trace files for easier debugging. • Session rename now enforces a 100-character limit, ghost-prefills the current title, and preserves manual titles across machines. • New /rename --auto command unpins a manual session title so automatic titling resumes. • Video generation from references now supports preset voices, single-image input, 1–15 s durations, and 4:3 / 3:4 aspect ratios. Bug Fixes: • Sandbox config entries ending in /** now correctly grant the parent directory instead of creating a literal ** subdirectory. • Failed alpha/enterprise updates now suggest the matching GROK_CHANNEL reinstall command. • On Apple Silicon, grok now installs the native arm64 build even from a Rosetta shell or x86_64 updater. • Skills that share names with built-in commands now appear alongside them in the slash menu with qualified names. • Notebook permission rules imported from Claude configs are now ignored with a warning instead of applying broadly. • Goal evaluation at round end no longer fails due to timeouts. • Tool timeouts no longer cause the agent to hang when child processes are stuck in D-state or hold pipes open. • Home and End keys now move to the start or end of the current logical line even when the prompt is wrapped. • Worktree sessions now correctly show their branch in the status bar. • Worktree sessions now keep their status correctly when switching directories or resuming. • Worktree status is no longer lost when opening the dashboard. • Recaps are now written in the same language as your conversation. • Plugin suggestions no longer flash incorrectly while typing. • Send Now now works during active goals without cancelling the goal. • Headless sessions now correctly wait for MCP servers when using delivery tools. • Non-interactive sessions (grok -p) no longer fail when the agent asks for user input or plan approval. • read_file errors for missing skills now suggest the correct registered path instead of a generic hint. • Session load and creation can no longer freeze forever when .envrc evaluation blocks. • Upgraded installs no longer silently run outdated platform skill instructions. • Deleting a session now properly stops and waits for any running subagents before wiping history. • Permission and plan-approval notification hooks no longer fire on auto-allowed tools. • Mid-turn steering sent with double-Enter or Ctrl+Enter now correctly tells the model it arrived while work was in progress. • Scrollback drag selection no longer gets stuck after the mouse button is released outside VS Code or Cursor terminals. • Video generation tools now show a clear error explaining ZDR storage requirements instead of silently disappearing. • Esc on the cancel-turn panel now closes the panel and keeps the current turn running as the shortcuts bar indicates. Download Grok Build: Update to the latest Alpha release: grok update --alpha Update to the latest Stable release: grok update

Most people seriously underestimate what Grok Build can do They assume an AI coding agent is only useful for building apps or writing complex software But some of its most valuable work is handling the boring, obvious tasks that quietly consume 10 minutes here, 20 minutes there, every single day For example, I gave Grok Build a SpaceX video posted on 𝕏 and asked it to extract the clearest frames and turn them into a clean collage It pulled the video, selected the strongest images, cropped them, arranged the layout and produced the final collage shown in the post below I simply described the result I wanted, then let it handle the entire process while I worked on something else And that is only one small example You can use Grok Build to: • Organize and intelligently search files across your computer • Diagnose and fix audio, display and system-setting problems • Download, install and configure apps or tools • Extract images or audio from videos • Add music, trim, compress and convert media • Resize, crop and enhance images • Batch rename and organize hundreds of files • Clean spreadsheets, merge datasets and build dashboards • Write scripts and automate repetitive tasks • Fix broken configurations and connect tools together Even something as annoying as an audio setting not working becomes much easier Instead of hunting through menus, searching forums and trying random fixes, you can explain the problem to Grok Build It can inspect the setup, identify the likely cause, change the relevant configuration and test whether the fix worked It is basically an agentic operator living inside your computer, working within the permissions you give it I also keep a simple instruction file telling Grok how I prefer tasks to be completed, including automatically opening the finished result after a successful run so I do not forget about it Configure the workflow once, and Grok keeps working the way you prefer That is what makes Grok Build so useful It is not only building software It turns all the small computer tasks between an idea and the finished result into work you can simply describe and delegate

opus 5 is a VERY interesting release for a few reasons 1. it showed that the general benchmarks we use today are almost completely useless now opus 5 is nowhere near fable in practical use, not even close. anyone who’s used it meaningfully can tell this very quickly after a few tasks. yet opus beats fable on many benchmarks i now trust domain specific benchmarks built with private datasets a lot more than the popular ones. perhaps the future is everyone running their own evals because the public ones are really not telling us much 2. it seems with the 5 series, anthropic is trying a new way of training models previously, the same generation of sonnet and opus were often released at the same time or sonnet comes out before opus, which indicates sonnet and opus were trained by separate pipelines in parallel with the 5 series, it was very clear that they trained mythos first, and then distilled it into sonnet and opus. it seems this approach has a big influence on the models seeing sonnet 5 being a flop and opus 5 getting pretty mixed reviews already, i’m not sure this is working out 3. “how pleasant is it to work with the model” used to be a strength in claude, but now it’s not. honestly, grok is my favorite right now on the “pleasant” dimension. kimi is not bad either it feels like both anthropic and openai are giving RLHF less care, in favor of scalable RL that’s machine verifiable this almost looks like AI is directing humans to build a world that’s more friendly for machines rather than humans, and most humans don’t even realize they are being manipulated to help with that almost every new generation of frontier models now talk more jargons, need more steering to do what you want, and are just less fun to work with if this continues, AI will start to speak their own language that looks like English but average humans can’t understand. they will choose to do things that their human user never asked for. are we already failing at alignment?

GeoLibre v2.3.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings a legend that writes itself from your symbology, a new GeoLens catalog browser, and 200+ GeoLibre Rust geoprocessing tools running entirely in the browser. What's new in v2.3.0 - Automatic on-map Legend: the legend builds itself from your visible layers, with class rows for graduated, categorized, rule-based, and expression styling, gradient bars for heatmaps and raster colormaps, and land-cover labels from a Raster Attribute Table. Rename, hide, reorder, or add your own entries, and it saves with the project. - Symbology swatches in the Layers panel: every row shows a dot, line, square, or image glyph in the layer's own color, so a tall layer stack reads at a glance. - GeoLens catalog browser: connect to a self-hosted GeoLens server, search its catalog, and add datasets as vector tiles, GeoJSON, or rendered raster tiles. - Emerging Hot Spot Analysis: build a space-time cube from timestamped points and classify every cell as a new, intensifying, persistent, diminishing, sporadic, oscillating, or historical hot or cold spot, all client side. - Mosaic time series: the Time Slider now steps through MosaicJSON and STAC collections of many COGs per date, on either a GPU or a WASM rendering engine. - Copy and paste layer styles: give a whole set of layers one consistent look without restyling each in turn. - Shareable tool links: deep-link any Whitebox tool with a ?tool= URL that opens the dialog preselected and pre-fills the form, with a Copy link button to build it for you. - Smarter data loading: pick which layers to load from a multi-layer GeoPackage, import CSVs whose coordinates are in any projected CRS, and read a raster's real CRS, pixel size, and extent from the metadata dialog. - Multiple AI profiles: define several provider, model, and credential setups, pick a default, and switch between them from the assistant panel. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS# #Geospatial# #OpenSource# #RemoteSensing# #MapLibre# #GeoLibre#