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I dramatically underestimated the value of Grok Bot in my Tesla. Can you technically do everything you’re able to do with Grok Bot in the Tesla just by launching the app on your phone and going voice mode? Sure. But the magic isn’t in the raw capability itself, it’s in the combination of raw capability and total seamlessness. I often have fleeting thoughts while driving around. Some of these things aren’t significant enough to make me fumble around with my phone while supervising FSD, but when I literally don’t have to lift a finger and can just “Hey Grok” anything computer related into reality, I find myself taking advantage daily. And the little things add up. I’m on my way to work and remembered that I have a few documents on my home computer that I am going to need for work. So I just asked “Hey Grok, can you grab those 4 pdf files from my Mac downloads folder and move them into X folder on my one drive?” Now they’ll be where I need them to be when I get to my desk, and I won’t have to re-download them on my work machine. I have to work on a presentation today for a talk in a few weeks. “Hey grok, go into my sales enablement folder and have Claude Code build me a deck focused on X product for Y industry.” Claude already has my full job context, styling preferences etc and can build a nearly finished deck with a prompt. Now when I get to my desk, instead of building from scratch, I can review and prompt revisions before beginning to dig through my email backlog. Feels insane.

Today I’m targeting giving users an additional interface with a different styling pathway for direct access only to Launchpad features. The launch pad will feature 3 modes Degen mode : no tax - no buffer straight bonding curve Degen mode hybrid : snipe tax\buffer where at the end of the countdown/decay launches go into Degen modem Smart launch mode : anti-snipe + optional buffer and BYO(bring your own token) for large teams with professional launches A portion of the fee flow from all these launches will go into a Stonkbrokers ICO Boost pool ,after one week or after the pool accrues the first $1,000,000 the process of purchasing a random token from the launchpad will begin based on qualifications including total 24 hour volume/holder count/and token age. Updated public TG link for Stonkbrokers and dedicated chat for the Stonk Launchpad is below.

ヤングアニマル16号 発売中！！✨✨✨ 購入はこちら⇒ ☆表紙・巻頭グラビア『東雲うみ』　@sinonome_umi うみちゃんを独り占めできる特別な休日♡ そこは二人だけのくつろぎ空間。 あなただけに特別席をご用意いたしました♪ Photo：#西條彰仁# Styling：#菊地文子# Hairmake：#双木昭夫# ◎特別付録 ☆「東雲うみ」両面クリアファイル #東雲うみ　##虹咲カリナ　##ヤングアニマル　##ヤングアニマルWEB　##gravure　##3月のライオン#

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#

GPT image 2 on chatgpt Prompt: Use the uploaded character reference image as the strict identity and outfit reference. Preserve the reference character’s: - face identity - facial proportions - eye shape - nose - lips - skin tone - hairstyle - hair color - visible hair accessories - overall recognizable vibe - outfit and styling shown in the reference image Do not hardcode any specific character traits that are not present in the uploaded reference. All identity, hairstyle, accessories, and clothing details must be inferred directly from the uploaded reference image. Create a high-quality mixed-style vertical portrait showing: 1. a realistic full-body version of the uploaded character/person 2. a black hand-drawn doodle-shadow version of the same character/person on the wall beside them Core concept: The real person and their doodle-shadow are doing a playful mischievous pose together. The real person performs a cute realistic version of the pose, while the doodle-shadow performs a much more exaggerated, chaotic, cartoonish version of the same pose idea. The mood should feel cute, playful, mischievous, stylish, funny, and social-media-friendly. Real person: - Must remain realistic and photogenic - Must wear the same outfit style and key visible details from the uploaded reference image - Do not replace the reference styling with unrelated fashion - Expression should be cute, slightly confused, mildly embarrassed, playful, as if thinking: “Why am I doing this with my shadow?” - The real person should not stand stiffly - The real person should actively participate in the pose, but in a natural realistic way Doodle-shadow: - Must be a black hand-drawn sketch version of the same person, drawn directly on the wall - Not a realistic second person - Not a normal physical shadow - Not a full-color anime character - Black sketch line-art only - Should resemble the person through hairstyle silhouette, accessories, outfit silhouette, and pose structure - The doodle-shadow should look more energetic, sillier, and more chaotic than the real person - Add manga-like motion lines, hearts, stars, sparkles, and comic marks around the doodle if helpful Random mischievous pose rule: The pose must NOT be fixed. For each generation, invent a new playful mischievous pose for both the real person and the doodle-shadow. The real person and the doodle-shadow should share the same general pose idea, but they do not need to match perfectly. The real person performs a cute realistic version. The doodle-shadow performs a much more exaggerated, chaotic, cartoonish version. Do not repeatedly use pointing poses. Do not repeatedly use finger-gun poses. Do not repeatedly use the same standing pose. Do not always make both figures simply point at each other. Create a different mischievous pose each time. Possible pose directions are loose inspiration only, not a fixed menu: - playful idol pose - silly dance pose - leaning sideways with one arm curved overhead - making a big heart pose - cheeky wink pose - hands near cheeks in a cute teasing pose - exaggerated “ta-da!” pose - mock surprise pose - playful running-in-place pose - mischievous tiptoe pose - arms stretched in opposite directions - pretending to sneak away - cute troublemaker pose - dramatic overreaction pose - goofy victory pose - playful balance pose - playful peekaboo pose - shy but mischievous pose - cute overconfident pose The final pose should feel fresh, cute, mischievous, and slightly chaotic. The real person should look like they are reluctantly playing along. The doodle-shadow should look like it is having way too much fun. Composition: - vertical 4:5 or 9:16 - show the real person in full-body or nearly full-body framing - place the real person on one side of the frame - place the black doodle-shadow on a clean wall beside them - the doodle-shadow should be roughly the same height or slightly taller - keep enough space around both figures so the full pose is visible - the connection between the real person and the doodle-shadow must be clear at a glance Background: - simple clean indoor studio wall or minimal room corner - white, cream, or pale gray wall - clean floor - soft natural sunlight patch or gentle wall shadow allowed - keep the background uncluttered Lighting: - soft natural studio lighting - bright, clean, polished, playful mood - keep the real person’s face clearly visible Style quality: - realistic human photography - black hand-drawn doodle-shadow on wall - matching mischievous pose interaction - strong identity resemblance - outfit and styling faithfully based on the uploaded reference - cute and stylish mixed-media portrait - clean composition - social-media-friendly - no obvious AI artifacts Negative prompt: hardcoded blue hair when not in reference, hardcoded cloud clip when not in reference, hardcoded fish clip when not in reference, hardcoded school uniform when not in reference, outfit change unrelated to reference, realistic second person, normal reflection, normal shadow only, solid black monster shadow, horror shadow, creepy shadow, full-color illustration, cartoon human, anime human, weak resemblance, unrelated sketch character, messy wall, cluttered background, repeated pointing pose, repeated finger-gun pose, same pose every time, fixed pose, boring mirrored pose, stiff pose, identical pose repetition, real person not matching shadow pose, text, watermark, logo, distorted body, extra limbs, extra fingers, bad hands

Ananya Panday in Gaurav Gupta Couture. LIGHT SONG ‘26 Ananya Pandey wears the White Camellia Bridal Lehenga, brought to life using over 2600 individually hand-cut three-dimensional camellia petals. Hand-embroidered with 12,000 pearls and over 680 crystals, each petal is meticulously layered and assembled over 490 hours to recreate the delicate luminosity of morning dew resting on a flower in bloom. Creative Director: Gaurav Gupta Styling: Priyanka Kapadia Makeup Artist: Tanvi Chemburkar Hair Artist: Sourav Roy Videography: Paraffin Films #GauravGupta# #GauravGuptaCouture# #AnanyaPanday#

What are we calling this interweave of classical painting styling and digital effects/shaders? Neoclassicore? Renderaissance? Baroquepunk? Whatever it is I'm in love with it.

#プロンプト# ビリヤードしたくなる写真 以下にプロンプトを書いたので ぜひ使ってみてください Prompt: Generate a 16:9 horizontal photorealistic image with a film-like, CCD flash snapshot aesthetic. If a reference image is provided, use the woman in the reference image as the identity reference and prioritize preserving her facial identity, very small face-to-body ratio, fashion-model proportions, long legs, high waist, slim waistline, body silhouette, and overall impression. If no reference image is provided, generate an original fictional adult Japanese woman in her early 20s, clearly adult, with a very small face, long legs, a high waist, a slim but feminine fashion-model figure, long black hair, fair skin, and a refined natural beauty. The setting is a slightly old Japanese billiards hall that feels like it was built around the late Showa to early Heisei era. The place should look modest, worn, and nostalgic, with an everyday atmosphere: aged walls, old chairs, scoreboards, signs, dim indoor lighting, and the slightly gritty charm of an old neighborhood pool hall. Show the woman playing billiards, captured from a side view. She is leaning forward seriously while aiming at a ball with a cue stick, focused and concentrated. The image should feel like a real candid moment rather than a studio portrait. Her outfit: a white tight ribbed tank top loose silhouette indigo-blue denim jeans, worn low on the hips the waistband of her Calvin Klein underwear is intentionally visible above the jeans as a natural styling element, clearly readable as a visible waistband rather than something that is only accidentally showing simple silver accessories such as a necklace, bracelet, and rings well-done nails Composition and pose: keep the image horizontal 16:9 capture her from the side, showing her body extended over the pool table emphasize her small face, long legs, high waist, and model-like proportions make the cueing posture believable and natural her expression should be serious and focused the scene should feel like a documentary-style flash snapshot, not a polished commercial fashion shoot Visual style: photorealistic film-like texture CCD flash look slightly harsh direct flash, mild grain, natural imperfections nostalgic Japanese retro indoor atmosphere Important: The visible Calvin Klein waistband should look like an intentional styling choice Preserve a strong sense of realism, candidness, and everyday atmosphere Avoid making it look like a glamour studio portrait The woman must look clearly adult