Sensitive content

This media may contain sensitive content.

Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

#CumbalonianLogisticServices. The Full Service Delivery and Dispatch company.... #aigenerated #aimuscle #musclev #aibodybuilder #guns #bodybuilder #cigar #jock #cigarpic (Entire sequence was generated Locally offline, with #LTXDesktop actually without LoRAs #M5ProMax 48gig)

8 Yorum

jasonthebeast profil fotoğrafı
jasonthebeast1 ay önce

Ok I have to ask I can't DM you but what exactly is the story of your verse

Cumbalone profil fotoğrafı
Cumbalone1 ay önce

thanks for asking ! Cumbalonia? Its a small country in the south west of north eastern Europe. Fiercely independent, polulation base 97.98 % men , virtually all are MSM, a bit Spartan and warrior like. Cumbagot plant grows natively there and its very androgenic.

Cumbalone profil fotoğrafı
Cumbalone1 ay önce

Combat in all forms would seem to get the natives hard. Extraordinarily liberal in some ways . Not so much a Democracy as an "Androgenocracy." A fantasy where men are in charge 😜🤪. Not to everyone;s taste, as 🔫🔫 seem to excite the men. Apologies if offends. Hope it explains!

jasonthebeast profil fotoğrafı
jasonthebeast1 ay önce

Hm what made ya think of it I'm just wondering? Like the sin story is also good does that take place in the same place?

Cumbalone profil fotoğrafı
Cumbalone1 ay önce

But Sin and Ren. They are different . Although their adventures are hugely popular in Cumbalonia , they are reposts from @TodSuperior who does amazing stuff. Click on his for more of them ! If it wasn’t for me seeing his stuff there would be no Cumbalonia ! Thanks for asking !

jasonthebeast profil fotoğrafı
jasonthebeast1 ay önce

@TodSuperior ...omg I i was drinking and did not look at the profile my bad dude

Tod Superior profil fotoğrafı
Tod Superior1 ay önce

Just wow lol!

Cumbalone profil fotoğrafı
Cumbalone1 ay önce

T’was fun to make

Benzer Videolar

One week ago, we launched Typeahead. The product is already meaningfully better. We’ve shipped new features, Typeahead 2.0 is almost ready, and we’re already planning 3.0. 3.0 is going to be big. That pace is part of the point. Sam Asante and I started a new company together because we wanted to see how far we could push local AI software. Typeahead is the first thing we shipped. It is a local AI writing app for Mac. You type, suggestions appear inline, and it learns how you actually write. It works offline. You pay once. $79 and you own it. The product is intentionally simple. The thesis behind it is bigger. We think local models are going to create a new class of software. Fast, private and offline. By default. Personal without being creepy. Useful without turning everything into a subscription. Most AI products today assume the model lives in the cloud. That will not be the only path. The machines we already own are getting powerful enough. The models are getting small enough. And the experience can start to feel less like chatting with a remote service and more like using software that belongs on your computer. We have already built a few fully local experiments together. Typeahead felt right because the value is immediate. A few people have asked me how this fits with Crazy Egg. Crazy Egg is still my main work. This is a focused company with Sam, built around a thesis we both believe in. I’ve learned that the people I work with shape the work more than almost anything else. Sam was already on my short list of people I wanted to build with. Typeahead is the first public proof of the thesis. Watch the video. Get it here:

Hiten Shah

18,681 görüntüleme • 3 ay önce

Cigar culture in China, 2026 edition. A kneeling attendant in full service: cutting, testing the draw, rolling the cigar on her leg, then presenting it. Western gentlemen — is this elevated hospitality, or has the ritual been completely rewritten? Curious what the old-school crowd thinks. Would traditional Western gentlemen accept this… or reject it on principle? 中国雪茄文化,2026年版。 跪姿侍茄:剪口、试吸阻、在腿上滚动雪茄、再递上。 西方的传统绅士们——你们觉得这是升级的待客之道,还是仪式已经被彻底改写了? 想听听老派雪茄客的真实想法。 传统的西方绅士会接受这种服务……还是会原则性拒绝? seedance 2.0 prompt: 【Part 1 / 15 seconds】 Duration: 15 seconds Aspect Ratio: 9:16 Vertical Style: Unprocessed handheld iPhone footage, all settings are automatic, shot from the first-person perspective of the boyfriend taking a selfie in a high-end cigar lounge. No lighting effects, no color grading, automatic white balance naturally and slightly shifted by the warm yellow lighting and shadows in the room. Slight handheld breathing tremors and real-time reaction shaking create a realistic, casual feel. One-shot, no editing. Character: Mature woman 1 Wearing #1, with delicate features, wearing #2 decorative glasses, exuding a cool yet alluring aura; paired with black high heels. Black gloves. Serving in a kneeling position throughout. All characters are adults. 【Camera Position and Shot Principles】 The boyfriend holds the phone and shoots from a first-person perspective, maintaining a normal social distance (approximately 1.5–2 meters) between the two throughout. The entire film primarily uses full-body and upper-body shots, avoiding any close-ups of the face filling the frame. The framing changes are achieved by her actually getting up or moving closer: Starting shot: Full-body medium shot (her entire body is in the frame; her kneeling posture, the wooden floor beneath her feet, and the leather sofa behind her are all visible). Mid-section: Upper body (from waist up). The camera is slightly handheld with breathing tremors and real-time camera shake throughout, without a stabilizer; autofocus occasionally loses focus slightly and then refocuses. [Environment] Warm yellow lighting in a high-end cigar room. She kneels on the wooden floor in front of a dark leather sofa. In front of her is a round wooden table with a cigar tray, gold scissors, a lighter, a bottle of 12-year-old McAllen liquor, and an iced drink. The shallow depth of field transforms the background into soft golden light spots. The automatic white balance naturally and slightly shifts between the warm yellow lighting and shadows as the camera moves. No subtitles, filters, beauty effects, special effects, or background music throughout. —————— [00:00-00:04] Full-body medium shot - Questioning technique. The starting shot is a full-body medium shot. She kneels on the floor, her body slightly turned into a smooth S-curve, her shoulders and neck elongated, and her eyelids half-closed. A finger with black nail polish gently rested on the edge of the cigar tray, her voice low and professional: "Sir, V-cut or straight cut?" A male voice off-screen (very close, with slight near-field distortion): "Straight cut." She nodded slightly, her lips barely moving, only responding with a very faint "Alright." Then she lowered her head, slowly and restrainedly picking up the gold cigar cutter. [00:04-00:08] Upper Body - Cutting The shot shifts to the upper body. She steadily placed the cigar into the cutter, her hands working together, the cutting motion clean and crisp. After cutting, she put down the cutter, picked up the cigar, and gently rotated it with her fingertips to check the cut. Her eyes were half-closed, always focused on her hands, occasionally glancing briefly at the camera, her gaze cold and focused. [00:08-00:12] Upper Body - Test Smoke She brought the cigar to her lips, but didn't actually suck it; she simply used her fingers to gently press against it, making a very light test smoke motion. She then looked up at the camera through her half-closed eyelids, her tone calm: "Shall I test the draw for you?" A male voice off-screen: "Yes, please." She lowered her head again, making a more obvious test puff, then nodded, her voice very soft: "Very smooth. Good." [00:12-00:15] Upper Body - Preparing to Pour the Liquor She temporarily placed the cigar back on the tray and picked up the McAllen bottle from the table. Maintaining an S-curve, her shoulders and neck elongated, she held the bottle in one hand and unscrewed the cap with the other. Her movements were extremely slow; she aligned the bottle opening with her palm and began pouring a small amount of liquor into it. The image freezes on her looking down at her palm as the liquor slowly dripped down. —————— 【Complete Dialogue Chart】 Time Speaker's Lines 00:00.5 Female Sir, V-cut or straight cut? 00:02 Male (Off-screen) Straight cut. 00:03 Female Alright. 00:09 Female Shall I test the draw for you? 00:10.5 Male (Off-screen) Yes, please. 00:12 Female Very smooth. Good. 【Performance Outline】 Emotional Curve: Professional inquiry → Focused on the cut → Test the draw → Begin preparing to pour the drink. Maintain a siren-like demeanor throughout: S-curve kneeling posture, half-closed eyes, elongated neck line, slow and restrained movements, no sweet or exaggerated expressions. 【Sound Effects】 Pure live sound recording: slight air conditioning sound in the cigar room, subtle sounds of wooden tabletops colliding with tools, the soft sound of liquid being poured into the palm of the hand, her breathing. No background music. part b: 【Part 2 / 15 seconds】 Duration: 15 seconds Aspect Ratio: 9:16 Vertical Style: Unprocessed handheld iPhone footage, all settings are automatic, shot from the first-person perspective of the boyfriend taking a selfie in a high-end cigar lounge. No lighting effects, no color grading, automatic white balance naturally and slightly shifted by the warm yellow lighting and shadows in the room. Slight handheld breathing tremors and real-time reaction shakes create a realistic, casual feel. One-shot, no editing. Character: Mature woman Clothing , delicate features, wearing decorative glasses , cool yet alluring temperament; paired with black high heels. Serving in a kneeling position throughout. All characters are adults. 【Camera Position and Shot Principles】 The boyfriend holds the phone and shoots from a first-person perspective, maintaining a normal social distance (approximately 1.5–2 meters) between the two throughout. The entire film primarily uses full-body and upper-body shots, never featuring close-ups of the face filling the frame. Start: Upper body Middle section: Close-up of upper body (top of head and shoulders fully preserved) End: Upper body The camera is slightly shaken by hand-held breathing throughout, and the autofocus occasionally loses focus slightly and then refocuses. [Environment] Same as Part 1. —————— [00:00-00:05] Upper body · Moistening cigar with palms Continuing from the previous second August 19 (1): There was a small amount of wine in her palms. She put down the bottle and gently spread the wine between her palms and fingers with both hands. Then she picked up the cigar, placed it on her exposed thighs while kneeling, and slowly rolled it back and forth with her palms to evenly coat the wrapper with wine. Her movements were extremely slow and focused, and she kept her eyes half-closed, always looking at her legs and hands. After rolling it a few times, she picked up the cigar and checked it. [00:05-00:09] Upper body · Lighting She picked up the gold torch lighter and lit it. The flame slowly rotates and heats the cigar head, white smoke beginning to rise. She maintains an S-curve body, her shoulders and neck elongated, her gaze focused intently on the point of contact between the flame and the cigar. After lighting it, she gently blows away any excess smoke to ensure even burning. [00:09-00:12] Close-up of upper body – Offering the cigar: She moves forward slightly, almost kneeling, the shot shifting to a close-up of her upper body, her head and shoulders fully visible. Holding the lit cigar in both hands, she slowly offers it to the camera, her eyes half-closed, looking up with a cold gaze: “Sir, your cigar.” She doesn't immediately retract her hands after offering it, but pauses for half a second in this gesture. [00:12-00:15] Upper body – Invitation: After fully offering the cigar, she leans back slightly, the shot returning to an upper body perspective. She lightly touched a strand of hair near her ear, lowered her eyes, and looked back at the camera. Her voice was low and drawn out, yet utterly devoid of softness: "Would you like to have a drink with me later?" She maintained this gaze, a very slight smile playing on her lips. The image froze on her half-turned, S-curve kneeling posture, her cold gaze fixed directly at the camera. —————— [Complete Dialogue Chart] Time Speaker's Lines 00:10 Female Sir, your cigar. 00:13 Female Would you like to have a drink with me later? [Performance Outline] Emotional Curve: Focused on moistening the cigar (rolling it on her lap) → Lighting → Offering the cigar → Cold and aloof invitation. A siren-like demeanor is enforced throughout: S-curve, half-lowered eyes, elongated neckline, slow and restrained movements; any cute or sweet expressions are prohibited. [Sound Effects] Pure live sound recording: the subtle sound of the liquor rubbing in the palm, the soft rustling of the cigar rolling on the lap, the sound of a lighter igniting, the slight hissing sound of burning, her breathing. No background music.

John

33,094 görüntüleme • 27 gün önce

Chinese researchers did it again! OpenBMB just open-sourced MiniCPM5-2B, a dense 2B-parameter model built for reasoning, coding, and tool use on resource-constrained hardware. Artificial Analysis ranked it highest among models under 4B in its Agentic Index comparison. It scored 20, while Granite 4.2 8B scored 9. The model is particularly strong at coding and tool calling, so I tested both capabilities locally. I pulled it onto my machine, connected it to a constrained CI repair agent, and gave it one issue: > A customer reports that retrying checkout with the same idempotency key returns a larger total. The first request returns $109, while the retry returns $118. Find the root cause, fix it without changing the public API contract, and verify the complete test suite. The Python checkout service had 18 tests. Sixteen passed, while two failed on the retry path. The agent could list files, search code, read selected ranges, run approved tests, apply a patch, and inspect its diff. It reproduced the failure, then followed the checkout and idempotency paths through the repository. The model found that shipping was added to mutable order state before the cached result was checked. On retry, the same order already contained shipping, so the calculation added it again. It generated a narrow patch that moved the idempotency check ahead of the mutation without changing the public API. The agent ran the targeted tests and the complete suite. All 18 tests passed. The model was never told which file contained the issue or what change to make. Each test result, search result, and code inspection determined its next action. The video below shows the full trajectory, including the investigation, tool calls, generated patch, diff, and final verification. Everything ran 100% locally on my machine throughout the run. MiniCPM5-2B supports llama.cpp, Ollama, vLLM, SGLang, iOS, Android, and HarmonyOS for local deployment. The model weights, training recipes, reasoning datasets, and UltraX data-refinement system are open-source. GitHub Repo: A 2B model can now inspect a repository, reason across multiple files, modify code, and verify its patch while remaining small enough to target local hardware.

Akshay 🚀

313,956 görüntüleme • 6 gün önce

I didn’t start my company NextLink Labs because I wanted to be a founder. I started it because production kept falling over and no one could explain why. At my last job, I was a solo developer on a critical system. Servers were going down. The service was unstable. Customers were feeling it. So I started digging. What I found wasn’t a bad engineer or a bad decision. It was something worse. The application was running on extremely old servers, filled with things that had nothing to do with the service. When I asked why we hadn’t migrated to the new servers we bought 18 months earlier, the answer stunned me: “We bought them… but no one knows how to set them up.” No documentation. No CI/CD. No infrastructure as code. No one actually knew what was running in production, so no one felt confident touching it. To make it harder, the servers were in Los Angeles. I was in Pittsburgh. I couldn’t even get hands-on to fix it myself. That was the moment it clicked. This wasn’t a one-off failure. This was how a lot of companies operated. I kept pushing for a better way. More structure. More clarity. Systems that didn’t rely on tribal knowledge. Eventually, I “wore out my welcome.” My manager didn’t fire me, but he did say, “Maybe you should do what you’re building on the side… full time.” Once I landed one more client, I resigned within four weeks. That was 11 years ago. Here's the lesson I took with me: Most outages aren’t caused by bad engineers. They’re caused by undocumented systems and neglected foundations. At NextLink Labs, everything we do comes back to that belief. Build systems people understand. Make infrastructure boring and predictable. And design for execution, not heroics. That’s how you scale without things constantly breaking.

Jordan Saunders

417,369 görüntüleme • 7 ay önce

Eight months ago, David Sacks, the White House AI and Crypto Czar publicly accused Anthropic of running a sophisticated regulatory capture campaign built on fear mongering (save this). People thought it was a spicy take and then Fable 5 release just turned it into evidence. When Anthropic released its Mythos-class models, it disclosed that every prompt and output sent through them would be retained for 30 days with no exceptions including for enterprise customers who had previously signed zero data retention agreements, and for up to two years if a prompt was flagged by a safety classifier. Microsoft moved so quickly that it restricted its own employees from using Claude Fable 5 within days of the release, citing the retention terms as incompatible with its internal policies, the largest enterprise software company in the world treating the new terms as a non-starter. But the data retention was not even the part that generated the most outrage in the developer community. The system card also disclosed that for users Anthropic suspected of working on frontier AI research, chip design, or competing model development, the system would automatically route those requests to a less capable model without telling the user, rewrite the prompt in the background, deliver a deliberately degraded response, and charge full price for access to a frontier model the user was not actually receiving. Business Insider confirmed that Anthropic's own apology acknowledged the company was intentionally giving worse answers and concealing that fact from paying customers. The examples of who triggered these filters make the safety justification difficult to defend, Ben Thompson from Stratechery was flagged for asking about the relationship between GLP-1s and cancer risk, and users asking routine questions about mitochondria were quietly downgraded, none of them aware it was happening. Under pressure, Anthropic walked back the narrowest possible piece of the policy, they will now disclose when a request is being downgraded. The underlying architecture, the 30 day retention, the behavioral profiling, the routing tiers, and the two-class access system remains fully intact. This is the part that makes David Sacks argument from October 2025 land differently today. He argued that Anthropic's safety positioning was principally a regulatory capture strategy using fear-based arguments to shape rules that would entrench incumbents and damage the broader startup ecosystem. The Fable 5 disclosure shows a company that used safety language to justify building an opaque, paternalistic system where Anthropic alone decides who is worthy of frontier AI access, profiles users to enforce that decision and collects full payment regardless.

Milk Road AI

47,944 görüntüleme • 3 ay önce

David Sacks was one of the first people to get a full readout from the White House after the Fable ban. He went on the All-In podcast this week and told the story from the inside. It is not the story anyone is telling. Here is what actually happened. Dario went to Washington in April and told national security officials he had built a cyber weapon. He spiked cortisol levels across the entire administration. Got everyone focused. Then Anthropic quietly expanded the Mythos preview to over 50 companies without telling the White House. According to the Washington Post, at least one of those companies was flagged as a national security concern. That was the predicate. Then Fable launched. Mythos with guardrails. Anthropic's own largest partner started testing those guardrails and found a jailbreak. They escalated to the White House. The administration called Dario directly. A cabinet secretary picked up the phone personally. It should have been a five minute call. Instead, Dario argued. He said the jailbreak was not serious. Then he published a blog post trying to distinguish minor jailbreaks from major ones. This is the man who had just told Washington he built a cyber weapon. Sacks said it plainly. The trust is gone. And once you are in one of these situations it is always harder to get out than it was to avoid getting in. Anthropic spent years building credibility as the AI safety company. They burned it in a single week by refusing a phone call. WATCH THE FULL PODCAST ON The All-In Podcast

Ihtesham Ali

262,298 görüntüleme • 2 ay önce