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Owning that big thick ass.....#daddy #daddybear #raw #bareback #willingvictim #breed #breeding #thickass #pig #cum #cumload

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Let me explain why you should keep an eye on the vagina coin called VAJUNNIE $VAJ. I 100% agree with the take that there’s barely any room left for new coins, especially in the cult coin category. That space got locked down over the past few months by coins with real communities and real staying power. Those are the ones worth holding. But that tiny sliver of room that’s still open? In my opinion, it’s reserved for something completely deranged—something so creatively feral it hits your brain like a punch and makes your stomach wonder if it’s supposed to laugh or puke. That’s the only way something new is going to stick. It's not another mid-meme coin using the same CapCut effects as everyone else (I love them, don’t get me wrong), but something that tingles parts of your soul you didn’t know were wired wrong. That’s where VAJUNNIE $VAJ comes in. I’ve had the pleasure of watching this thing slow cook for months before the launch. And I’m telling you—there’s nothing like it. Not in crypto, not outside of it. It’s a creation by a real artist: Jared Madere. He works across different media, but what really got me is how he uses AI like a raw material to create weird-ass visual poetry. I love it. The images he makes stimulate me in ways nothing else ever has. Not gonna lie, I couldn’t wait to see VAJUNNIE hit the timeline. There’s a big team behind it—artists I actually respect. No clout-chasing, no posturing. Just raw output from people who get it. I know there’s a TV show coming and more madness down the pipeline, but right now I just want to watch VAJUNNIE do its thing. I want to see millions goon. I want it to pump and give people free orgasms in their dreams. VAJUNNIE is a decentralized vaginal hallucination protocol. For more information, visit:

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15,097 views • 1 year ago

After being formally condemned by JD Vance, Nick Fuentes unloads. He’s “declaring war” on the Vice President and says he’ll be exposing the entire administration’s connections to Jeffrey Epstein on tonight’s show. “I am now officially never Vance…JD Vance is officially condemned by the real America First…you just lost a huge chunk of support…you just made a big mistake.” “I will reserve my endorsement for a candidate that is actually willing to put America First over Israel…someone who is putting America First over India.” “I condemn you, I condemn your liberal wife, I condemn your sugar daddy Peter Thiel. I condemn little tech. I condemn you and your America last administration. You should worry about this catastrophe which is this second term.” “Why don’t you do your job? Why don’t you march your little fat ass down to the Oval Office and tell this president to start deporting millions of people like you promised to do. Because if you don’t? It’s your ass in 2028.” “JD Vance is the Vice President, as far as I’m concerned, he owns the failures that are happening in this administration.” “Tomorrow night, on my show on Friday (today)…we are going to talk about all of Jeffrey Epstein’s connections to this administration. And that’s going to be a problem for you buddy.” “You wanna play this game? Alright, let’s play…You want to be the President of the United States, I’m a live streamer. You want to go to war with me? You want to go to war with the Groypers?…I don’t think you’re going to like how that ends up for you.” “People always ask me ‘who are we going to vote for in 2028?’…you never know what’s around the corner. I got a few ideas…I don’t think we’re going to have to settle for JD Vance.” “This guy is a creation of the deep state.”

Fractured Light

197,778 views • 5 months ago

This is the last, and final thing I’m saying about this cunt. I’m so done with this insecure bitch. You talked about me for SEVEN hours bro. SEVEN. Sitting there saying the most putrid, FALSE, wild bullshit I have ever heard. Not one intelligent remark came out of your mouth. First of all pussy, we are not on welfare. My husband is active duty military, has been for 7 years. We have our own home, 2 cars, a big family, 2 beautiful children. We both have jobs. He has a degree, I have a degree. I was a personal trainer and health specialist for 8 years. We have every single thing you wish you had bitch. Have some respect for the men and women that fight for your right to be a fucking moron. Secondly “don’t come poison twitch” I was on twitch for THREE years hoe. Before you even threw your titties into the streaming world. Averaged 68 viewers over there, worked my ass off before taking a year off to have my second child. Came back, moved to kick, and in 1 year on kick, I’ve done better than you have in your entire four years of streaming.. four years and you still have NOTHING to show for it. Out here bitching on the timeline that in four years you still haven’t found your people… I wonder why. Lie, after Lie, after Lie comes out of your mouth. I feel sorry for you at this point dude. Nobody likes you. Nobody cares about you. You shit all over mothers, parents, dads, veterans, active duty, all platforms, yourself.. like bitch come on. You can’t be for real.. grow the fuck up. Go to rehab for your addictions, seek therapy. Projecting your deep rooted daddy issues onto everyone else in this world is getting you fucking nowhere. @KayyPlz

ListenLinda

52,687 views • 1 year ago

ALERT : Dezi Freeman is more than a man. He is a message. A reminder that even in a digital panopticon, one person with will, luck, and skill can still vanish. He represents an old kind of freedom—wild, raw, and unforgiving. This is why the lying media and police want him caught. But, this goes deeper. This goes much deeper. We aren’t just watching a manhunt. We’re watching a story unfold—one that challenges control, authority, and the very idea of being “caught.” YOU ARE WATCHING HISTORY. People are waking up. Yes. Media anons watching. Remember he’s not just running from the law; he is running **with leverage**. This man has HUGE port filled of dirt on powerful figures in government or police, that is a kilometre wide, and 100 miles deep. My friend the are getting a taste of their own medicine. Its funny how the dont like it. This isn’t a manhunt anymore—it’s a silent war. The even are offering $1 Million Dollars AUD for his capture, and no one is biting. 😂🤣 Highest level dirt, and he stated to name names. **Corruption:** " alleged" Evidence of bribes, drug trafficking, or organized crime ties within police or government, Videos, witness, Sexual scandals, Pedophile networks, abuse of power, or even unsolved crimes involving high-profile names. Remember these are people who were meant to serve and protect you, and it seems, they are the opposite. Knowledge of closed-door operations, illegal surveillance, or shady dealings meant to stay hidden and buried. He was **deliberately set up** or used as a patsy in a larger scheme—and he kept records. ⚖️ WHY ELSE WOULD THEY WANT HIM SO BADLY? Its simple, Let’s be real—escaped suspects aren’t uncommon. But the resources being poured into finding Freeman suggest something **beyond routine policing** He is the most wanted many in AUSTRALIA right now. Very interesting, so what does he know, what information does he have? What does he have that someone else does NOT? This entity fear he’ll **expose something** SO DAMN BIG that it brings down entire careers or institutions? Police, Govt, Politicians. The seedy, sick entity rotting coffin for all to see. If Freeman truly has leverage over powerful people: - He’s not just hiding—he’s **negotiating from the shadows**. - Every day he stays free, The name FREE MAN he proves he can’t be silenced. - Word Play = FREEMAN or FREE MAN. Australians need to be free from this filth, and corruption in their govt and media. - The manhunt is much more about **recovering what he knows** as it is about capturing him. - They want to ban guns and or take guns off Australians. More power and control. This would also explain: - Why there’s been **no serious leak** of his exact charges or backstory. - Camera Body Footage is being kept on servers. Hidden. - The wife is not talking. - Why the reward is so high (**$1 million**)—they need him found before he talks. - Why some media are subtly painting him as a “folk hero” Fake news Media cannot lie straight in bed. All LIES! 🔥 LIES Vs. TRUTH As you hear us say—**information is indeed power**. This isn’t about taking sides anymore. All is NOT what it seems my friend. It’s about **owning the truth**—and using it. Fake news is now down the DEEP hole and caught up in their own lies. Oh dear. Interesting to see THEIR NEXT move. Meaning NEXT LIE! Watch and see. 👀

Łitecoin Bull | The News Before The News!

37,981 views • 10 months ago

You round the bend of that forgotten mountain trail, boots crunching on pine needles, the air thick with the scent of damp earth and rushing water. The stream’s been whispering to you for miles—clear, cold, cutting through granite like it’s been waiting centuries just for this moment. Then you see it: a small carved-out alcove tucked right against the bank, maybe three feet deep and wide enough for one person to kneel, the rock smoothed by who-knows-how-many old-timers before you. Sunlight slants in like a spotlight, turning the water’s edge into liquid gold. Your pulse kicks up. This isn’t just a pretty spot. This is a natural sluice box, a hidden trap where the current slows, drops its heavy cargo, and leaves the black sand shimmering like midnight promises. You drop your pack, heart hammering. Modern panning isn’t the back-breaking pick-and-shovel grind of 1849 anymore—you’ve got the kit: a lightweight 22-inch ceramic pan with riffles that catch every speck, a classifier screen to sort out the big stuff in seconds, a snuffer bottle the size of your thumb, and maybe a tiny hand sluice you can prop in the alcove’s curve if the mood strikes. Gold’s sitting at over $5,100 an ounce right now—prices that would’ve made those Forty-Niners weep. One decent pinch of flakes and you’re already ahead of your coffee money. You scoop a panful of that dark, promising gravel right from the alcove’s lip, plunge it into the stream, and start the dance: tilt, swirl, dip, let the river do the work. Lighter sands and pebbles wash away in lazy spirals while the heavies—magnetite, hematite, and yes, maybe that telltale flash of yellow—sink to the bottom like they belong there. The excitement builds with every swirl. You see the first “color”—tiny glittering threads hugging the riffles. Another pan. More. The alcove’s geometry is perfect; the stream bends just enough here to drop the good stuff century after century. You’re grinning like a kid, knees wet, sun warm on your neck, imagining the nugget that’s been waiting since the last ice age. A full vial after an hour? Two? The daydream races: sell it raw, melt it into a ring, or just keep it in a jar on the shelf as proof you outsmarted the mountains. Modern tools make it feel almost too easy—apps on your phone showing public claim maps, lightweight gear that fits in a daypack, even a cheap UV light to spot fluorescent tracers if you get fancy. This alcove could be your lucky strike. The thrill is electric. Here’s the straight truth, though, whispered like the stream itself: no, modern hand-panning isn’t a lucrative feat. Not in the “quit your job and buy a yacht” way. The average recreational panner pulls about 0.041 grams an hour in decent ground—that’s roughly twenty bucks at today’s prices, before gas, food, and the sheer sweat equity. A banner day in a rich pocket might net you a gram or two (maybe $160–$170), enough to cover your weekend and leave a little sparkle in your pocket. But most folks walk away with beautiful memories, a few flakes, and the quiet satisfaction of having chased the dream instead of scrolling on the couch. The real gold? The peace, the exercise, the story you’ll tell when you get home with wet boots and a grin you can’t wipe off. So yeah… that carved-out alcove next to the stream? It’s calling. Grab your pan, let the excitement build, and go see what the river’s been hiding. Just don’t quit your day job—let the mountains pay you in wonder instead.

🚫👁️Drinks on Saturday🇺🇸

1,322,206 views • 4 months ago

$AMD| The FOMO to buy AMD Chips is NOW 🧵 Not Financial Advice! DYOR! Research Purpose Only! The Inference Queen is the biggest winner in Agentic AI where all other CPUs are struggling to compete with a 2yr old EPYC Turin and EPYC Venice is in mass production phase. AMD stresses deployability today on standard x86 platforms (no proprietary architectures required), full software compatibility, and open standards. This positions Venice + Helios as a practical, high-density alternative to competing solutions while underscoring that agentic AI shifts the balance toward CPU-rich racks alongside GPUs, and most importantly, lowering the cost of token to accelerate adoption and innovation. Context: The Wall Street Journal yesterday came out with an article that OpenAI is condiering drasstically lowering the token prices to win more customers from Anthropic. The narrative "they" are trying to exacerbate the current AI selloff won't last long. This is a fundamental misunderstanding of what is going on, or what I already discussed for months and years. Followers and Subscribers already knew this for years, that this day would come, where token cost will bcome the central discussion among enterprises as there is no such thing as unlimited budget or Tokenmaxxing when they use $NVDA chips or In-house Hyperscalers chips. I will link various threads if you are interested in understanding the full picture from supply chain to recent TSMC Rapid 2nm expansion up to 12 Fabs total by 2027/2028. Hyperscalers and AI natives effectively have no choice but to buy more AMD system for Agentic AI as leadership in economical, power-aware, high-volume internal + agentic use. However, due to supply constraints where Supply is far behind Demand, this makes multi-vendor reality along with in-house chips drive faster industry progress, lower overall costs, and better sustainability. NVIDIA’s Vera Rubin cannot compete with a 2 years old EPYC Turin, but AMD under Dr. Lisa Su has engineered the lowest cost-per-million-tokens, highly competitive energy-efficient solutions, and superior CPU orchestration for agentic AI at scale with Helios. Dr. Su has championed this shift since at least 2023, foreseeing the rise of agentic workflows that demand far more orchestration, parallel agents, and balanced compute well before the industry fully embraced it. Her long-term vision of AI moving from simple prompts to always on, multi-agent systems has driven AMD’s investments in high-core EPYC CPUs and integrated rack-scale solutions, perfectly positioning the company for today’s realities. The OpenAI-AMD 1GW Helios deployment (starting H2 2026) represents a pivotal vertical integration move that directly supercharges the inference economics. This isn't incremental; it's a structural shift toward ownership of massive, optimized rack-scale capacity, enabling the lowest token costs and triggering the enterprise adoption flywheel. We need to be honest, $AMD is the only company that made a big bet on Inference since the day Chatgpt became sensational where $NVDA and others were betting big on Training. At the end of the day, Token bill from Anthropic has to obey economics. Meaning the bills rise, companies have to get more out of it to justify the cost. It cannot be an unlimited inference budget, and it has to show up on efficiency, profitability and operating leverage. 1. Tokenomics After you understand this, you will understand why Citi cited Anthropic is likely to sign a deal with $AMD along with Hyperscalers, AI Labs, Sovereign AI like Softbank 5GW in France and many other countries. However, OpenAI and $META are now wanting faster deployment, and they are AMD shareholders now, they have prioritized allocation. Anthropic and Hyperscalers just cannot compete when Helios Rack lower token cost to$0.0003–$0.0005 per million tokens at GW scale. Cost to build 1GW data center 1GW Helios Rack full build is estimated $30-$35B 1GW Rubin Rack full build is estimated $45-$55B Inference (Cost per Million Tokens) ~$NVDA B200 / HGX: ~$0.02–$0.08 on optimized workloads (FP4/MXFP4, speculative decoding). Significant improvement over Hopper but still premium-priced. GB200 NVL72 rack-scale: $0.05–$0.25+ ~$AMD Helios Racks: $0.0003-$0.0005 per M tokens, dramatically lower than NVIDIA equivalents in owned infra. MI355X node-level: Up to 40% more tokens per dollar vs. competing solutions ( B200), driven by higher memory capacity (up to 288GB+ HBM), strong bandwidth, and lower acquisition costs. Training ~$NVDA Rubin Rack is estimated $0.7-$1.2/M Tokens ~$AMD Helios Rack is estimated $0.65-$1.0/M Tokens Now, OpenAI, META and Hyperscalers can lower Inference cost even further with $AMD EPYC Venice "dense rack" or Agentic AI Rack. AMD published a detailed technical blog emphasizing that the future of agentic AI autonomous, multi-step AI systems requiring heavy orchestration, databases, caching, APIs, and control planes demands massive CPU-dense rack-scale infrastructure, not just GPUs. The catalyst prominently positions their upcoming 6th Gen EPYC "Venice" processors as the key enabler for next-generation dense racks, delivering leadership throughput under real-world power, cooling, and density constraints. ~EPYC Venice (Zen 6 architecture, up to 256 cores / 512 threads per socket) is projected to deliver exceptional rack-level performance. In AMD’s modeled 100 kW rack comparisons, Venice-powered systems are expected to achieve ~3.30x the throughput of NVIDIA’s Vera (88-core Olympus) baseline across a broad mix of agentic-supporting workloads. ~This builds on current-generation 5th Gen EPYC "Turin" (up to 192 cores), which already delivers ~2.37x rack throughput vs. Vera and ~1.6x vs. Intel’s Xeon 6980P (128 cores). ~ Liquid-cooled Turin deployments already support >27,000 CPU cores per rack today. Venice is architected to push this beyond 36,000 cores in the same rack class, dramatically increasing concurrent agent capacity and overall infrastructure efficiency. 2. Ownership vs renting compute from Hyperscalers matter to OpenAI and only owning $AMD chips can meaningfully lower token cost for enterprises. ~Eliminates cloud overhead: No provider margins, utilization buffers, or egress fees. Direct control over power contracts, cooling, scheduling, and orchestration at dedicated facilities. ~Helios optimizations at GW scale: Rack-level density (1.4+ exaFLOPS FP8 per rack), high HBM4 bandwidth, EPYC orchestration for agentic workloads, and superior TCO/TDP. AMD's long-standing focus on tokens per dollar/watt shines here 20-40%+ efficiency edges in inference-heavy scenarios. ~At 1GW+ optimized deployment, inference hits $0.0003–$0.0005 per million tokens (community/analyst models tied to Helios metrics). This is dramatically lower than typical rented/cloud equivalents, especially for high-volume output tokens in agentic flows. High token bills today, enterprises running heavy agentic/coding/analysis workloads can face $50-100M+/month at current API rates (flagship models $5-30+/M output, scaled to massive volumes). Post-Helios compression, same volume will drop to $10-15M/month (or better) via lower underlying costs passed through as pricing flexibility, volume tiers, caching, or batch discounts. ROI thresholds collapse. More companies greenlight pilots → production → massive scaling. Agentic AI (autonomous workflows) multiplies token demand exponentially, but affordability removes the friction. OpenAI gains flexibility, Unlike more cloud-dependent rivals (Anthropic), they can lower effective pricing, offer aggressive enterprise bundles, or absorb volume without margin destruction directly tackling "high token bill" complaints while maintaining profitability as usage explodes. 3. Agentic AI Models shifted CPU:GPU Ratio to 1:1 toward 3-5:1 with Explosively Token-Hungry Workloads Agentic AI (autonomous, multi-step agents with planning, tool use, iteration, and self-correction) is fundamentally more compute and token intensive than conversational or single-turn generative AI. Agentic AI. autonomous, multi-step workflows with orchestration, tool use, parallel agents, data movement, and enterprise integration has dramatically increased the importance of strong host CPUs alongside GPUs. This shifts the CPU-to-GPU ratio higher and makes balanced systems critical toward 1:1 to 5:1 as enterprises testing more than 5-10 agents. AMD EPYC Venice excels ~Leadership core density (up to 256 Zen 6 cores per socket) for running many agents in parallel, orchestration layers, and high-throughput control-plane tasks. ~Superior performance-per-core and power efficiency ( up to 2.1x higher perf/core and 2.26x better SPECpower vs. NVIDIA Grace in benchmarks). ~Tight integration in Helios: One Venice CPU + multiple MI450 GPUs per node, enabling efficient data feeding to GPUs ("zero-copy"), parallel execution, and full rack utilization for complex agentic loops. Hyperscalers (Meta, Microsoft, Amazon, Google, Softbank) and AI natives (OpenAI, Anthropic...) are adopting high-core EPYC at scale specifically for these agentic demands, as CPUs now handle a larger share of non-model work (orchestration, policy enforcement, tool calls). This complements AMD’s lower-cost GPUs for overall TCO wins. ~Agents often generate 10–100x+ more tokens per task due to iterative reasoning chains, multiple tool calls, verification loops, and long-context orchestration. ~Goldman Sachs forecasts token consumption multiplying 24x by 2030 (to 120 quadrillion tokens/month) largely driven by agentic adoption in consumer and enterprise. ~Enterprise data shows agent-pattern workloads growing at 680% annualized rates, projected to surpass conversational AI in token volume by Q3 2026. ~Daily enterprise agent token consumption is already in the billions, with complex workflows (coding, workflows, analysis) amplifying this dramatically. 4. Competitive Edge: Winning Customers from Anthropic Anthropic’s Claude models (especially Opus/Sonnet) excel in complex reasoning and agentic coding, commanding premium positioning. However, their higher underlying costs (heavier reliance on third-party cloud with margins) limit pricing flexibility compared to OpenAI’s owned Helios capacity. Anthropic is on track to generate $10.9 billion in Q2 revenue. The company expects to achieve its first-ever quarterly adjusted operating profit of $559 million. However, sustaining full-year profitability remains challenging due to immense computing and model training costs The truth is, Anthropic has no choice but to buy as much $AMD chips as possible if they want to compete with OpenAI or get investors attention. This 5% adjusted operating profit to revenue ratio is just pathetic. Current pricing dynamics (2026): OpenAI already undercuts on many tiers ( flagship output tokens significantly cheaper than equivalent Claude Opus). Nano/mini models offer 5–10x advantages for volume work. Anthropic holds edges in long-context flat pricing and certain reasoning quality. OpenAI after Helios Rack Ownership, At $0.0003–$0.0005/M effective costs, OpenAI gains massive headroom to: ~Aggressively discount high-volume agentic tiers or bundles. ~Offer “unlimited” enterprise plans or usage-based models that Anthropic struggles to match without margin erosion. ~Target cost-sensitive, high-throughput agent deployments (dev tools, automation platforms) where token bills explode. Enterprises facing $ millions in monthly agentic bills will migrate to the provider delivering better economics at scale. OpenAI’s combination of strong models (o-series reasoning) + lowest TCO positions it to erode Anthropic’s enterprise share, especially as agentic becomes the dominant token consumer. Cheaper tokens expand the total addressable market dramatically. This feeds the data/model improvement loop, justifying further capex. AMD benefits from proven scale pulling in more customers (Meta, Oracle, Microsfot, Amazon, Softbank, TensorWave, LumaAI ... already aligned on Helios). Conclusion: Dr. Lisa Su has been laser focused on inference economics since at least 2022–2023, repeatedly emphasizing that the real battleground for AI scalability would be TCO, power efficiency (TDP), and ultimately tokens per dollar and per watt not just raw training FLOPS. While many viewed inference as a secondary, commoditized workload, Dr. Su architected AMD’s roadmap around rack-scale systems optimized for high-volume, sustained inference that would dominate as models matured and usage exploded. Helios represents the culmination of that multi-year bet: a fully integrated, open platform designed precisely for the economics of massive token throughput. This deep, strategic partnership with OpenAI starting with the 1GW Helios deployment in H2 2026 and scaling to 6GW, is the embodiment of that shared vision. Both companies foresaw a future where agentic AI models evolve to become extraordinarily token-hungry: autonomous agents executing complex, iterative workflows with planning, tool use, verification loops, and long-context reasoning. These workloads can consume 100x+ more tokens per task than traditional chat or single-turn generation, driving exponential demand as capabilities improve and enterprises deploy them at scale. By owning and optimizing this massive Helios capacity at GW scale, OpenAI achieves inference costs as low as $0.0003–$0.0005 per million tokens. This structural cost advantage allows OpenAI to absorb the coming token explosion profitably, dramatically lower effective pricing for enterprises, and win high-volume agentic workloads from higher-cost competitors like Anthropic. What was once a prohibitive monthly token bill becomes an affordable accelerator for productivity and innovation. The OpenAI-AMD alliance validates Dr. Su’s prescient strategy and turns the Agentic flywheel into reality: Collapsing inference costs → explosive token consumption → richer data and better models → accelerate greater demand. This partnership doesn’t just address today’s economics, it positions both leaders at the center of the infrastructure buildout that will power AI’s next decade. By delivering the lowest inference economics at scale, OpenAI not only solves enterprise bill pain but gains a decisive weapon to win share from higher-cost rivals like Anthropic. And that is why OpenAI and $META will deploy EPYC Dense Rack Not Financial Advice! DYOR! Research Purpose Only!

Mike

84,951 views • 1 month ago

Everything you've heard people like Marc Lamont Hill say Pac didn't do is false. The man has the deepest literary device bag ever and he employed each of them well. These breakdowns only show a glimpse of how deep his literary device bag was. Sidenote: Joe Budden isn't a true Pac fan. *We clock figures "If I had a bigger dick or a dime for every time Muthafuckas took a bit of the lines from in my rhymes, I'd be richer than a bitch with a trick with big pockets, (Simile, hyperbole) equipped with a dick that's so thick, it fits sockets". (Hyperbole, metaphor) 2Pac loved implied metaphors. Here, he metaphorically compared his phallus to something large enough to fit into a socket, such as a large impact socket, exaggerating size for comedic and rhetorical effect. "If I had a dime for every time", is an idiom (Used to indicate a very frequent occurrence of something happening. Usually used in conjunction with some expression that one would be rich as a result of receiving money for all such instances -Farlex Dictionary of Idioms) You can follow the idiom with a multitude of different things, and he chose to follow it up with the number of times others have took a bit of the lines from his rhymes. He is obviously referring to other emcees biting his rhymes here. He layered an additional hypothetical onto the idiom, creating two parallel, alternative hypotheticals. Each hypothetical leads to a different exaggerated outcome; one financial and one physical (penis growth). He pairs the idiom with a second, independent hyperbolic premise, stacking the hypotheticals and juxtaposing their exaggerations. This parallel hyperbolic scenario intensifies both the exaggeration and the comedic effect. It also makes the hypothetical scenario even more non-literal and impossible. This is why he made sure the following lines did not just include a hyperbolic simile about the amount of money he would receive from every instance. He made sure the lines also included a "vulgar" hyperbolic metaphor about how large his penis would grow from every instance as well. It's figurative and impossible. The hyperbolic simile and metaphor helped drive his point home. The lines are placed right next to each other for a reason. Great word selection and placement. "Please don't misinterpret what I say to be dirty." The lines before this one could easily be considered dirty," and he is sarcastically pleading for the listeners to not view the lines in that way. This is his way of letting listeners know the previous lines were figurative and were not meant to be taken literally. Basically, he is saying to think beyond the surface and do not have your mind completely in the gutter. It is also a disclaimer for the sexual innuendos that come next. "Muthafuckas want to jerk me, so they irk me how they work me". Multiple things he mentioned here could all have sexual meanings. The disclaimer is there to let listeners know to not interpret it as him saying that, "muthafuckas" want to literally jerk and work him in a sexual way. It is very clever and humorous wordplay. Listen to his adlib right after he says "work me". He chuckled because of the puns he used; specifically the one he had just finished using. Everything here is connected, and it was all by design. He set the scheme up at the very beginning of the verse and ended it after the work me line. The whole third verse is pretty much figurative. With Pac, you always have to pay attention to how he worded things and the placement of those words. He simultaneously sandwiched his rhymes in the lyrics included in my breakdown. He did this by rhyming internally and externally. He rhymed internally multiple times here, and even more so if you count the near and partial rhymes. He even added a multi in there (pockets, sockets). The assonance and consonance can't be ignored either. Pay close attention to what Makaveli said after: "My history so thoroughly involves destruction, niggaz left with their ass bleeding, lyrical fucking". "Open up first to bust, let me see your heart, turn the lights down, cause I might clown in the dark" Is a play off the lyrical fucking bar. Peep his choice of words. They're all sex related. He's speaking figuratively. He used puns. Hence, "open up, first to bust and "Turn the lights down, 'cause I might clown in the dark" are part of it as well. He's referring to sex in the dark but figuratively. It's all figurative, clever wordplay. Word Class Wreckin Cru also has a song called Turn Off the lights. Hence turn the lights down. Dre was apart of that group. He dissed Dre by name in this song. Also, peep his choice of words here. There's an obvious correlation between see, light, and dark. Makaveli juxtaposed those words, using 'light' and 'dark' specifically to create an antithesis. 'Makaveli rise, all you niggaz die when I come I do some fly shit and be done'. The words rise and fly are both related to flight. Very subtle. Lastly, he used internal and external rhymes, both with and without using multisyllabic rhymes. "Murdered my friends, built a new posse, we taking shots at paparazzi go and fly now, nigga like Rocky". "Murdered my friends, built a new posse", is not directed at Stretch. The friends he's referring to are the members in the Thug Life group. (Macadoshis, The Rated R). The Outlawz are the new posse he's referring to. He's also alluding to what his character Bishop did in Juice. Xzibit has a song called paparazzi. "We taking shots at paparazzi" was directed at him. Makaveli referred to him as paparazzi instead of his name. Although Makaveli didn't explicitly say his name, he sent a clear subliminal shot at Xzibit. Makaveli felt that Xzibit took subliminal shots at him in his song, 'Paparazzi'. "Forgive me, I'm a rider, still I'm just a simple man All I want is money, plus the fame, I'm a simple man. - Makaveli (Radio Edit of How Do U Want it) Here's what Xzibit said in his song Paparazzi. "I don’t believe the hype or buy wolf tickets Nigga, you make a gang of noise and never seen, like a cricket I guess that’s why we never kick it A lot of niggas is soft and get tossed, tryna fuck with the Likwit How many niggas do you know like this? Always claimin' that they ridin', but they really turned bitch It don’t make sense, either you’re a soldier from the start Or an actor with a record deal tryna play the part—like that! It’s a shame, niggas in the rap game Only for the money and the fame Edi dissed Xzibit in Bomb First (My Second Reply) but Makaveli dissed him himself this time. This is also directed at the actual paparazzi. 2Pac wasn't fond of them. The Paparazzi are freelance photographers who pursue celebrities to take photographs (shots) of them. Hence, taking shots at paparazzi. Get it? "Go and fly now, nigga like Rocky", is a reference to the "Gonna Fly Now" theme song (performed by DeEtta Little, Nelson Pigford, and Shelby Conti) from the movie Rocky. ""It’s like he’s standing up there jumping around; it's like he's gonna fly." - John Avildsen (Rocky Director) He was also referring to Rocky from the TV show, "Rocky and His Friends". This is why he said "Murdered my friends". Rocky was a flying squirrel in the TV show and this is why he said, "Go and fly now, nigga like Rocky". Makaveli was able to do all of this in just three lines. He got his point across without any wasted lyrics. The lyrics have purpose. He's lyrically efficient here. The way he set up the Rocky simile allowed him to kill two birds with one stone. The wording ('murdered my friends, go and fly now') provided listeners and readers with just enough hints to connect the dots between the lyrics and the TV show, Rocky and His Friends, while still referencing the theme song from the Rocky movie. "Baby .45 but she's still live, one shot make a nigga'z heartbeat stop.” He’s metaphorically talking about a .45 caliber gun being his girlfriend; this is obviously wordplay. That's just not the only layer to it. This is a part of the time motif he employed because anything that happens in real-time is “live.” He also juxtaposed “baby” and “.45” to create an oxymoron. An oxymoron is a combination of contradictory or incongruous words, and that’s exactly what “baby” and “.45” are here. A literal baby cannot be 45 years old. This isn’t just figurative because he’s metaphorically talking about a .45 caliber gun; it’s also figurative because of the oxymoron. He also juxtaposed “live” and “make a nigga'z heartbeat stop” to create an antithesis. The word “live” means to have life, while “make a nigga'z heartbeat stop” refers to death. He said “she’s still live” to also create a paradox. 45-year-old women aren’t generally associated with vitality, but despite her being 45, she’s still full of life. All of this is placed in a single line by design. “One shot, make a nigga'z heartbeat stop.” He’s not just talking about his .45 caliber gun (metaphorical girlfriend) being able to end someone’s life with one shot. He’s also saying she has the power to leave a man figuratively breathless. One opportunity or chance (“one shot”) with this woman could figuratively take a man’s breath away and leave him in shock. She has the power to make a man’s heart figuratively stop because of the “caliber” of woman she is. One shot with her can have this effect because she’s that mind-blowing and breathtaking, pun intended.

9-FO Tha Negus

34,168 views • 7 months ago

BLAZE OF FURY I slam down on the little shrimp with the full, earth-shaking tonnage of my colossal bulk. His puny frame flattens like a stomped roach beneath me, and a vicious snap cuts the air as his lungs cough up a sad, broken yelp. It’s fuckin’ wild how his skinny, fragile build sets my blood ablaze—like a brittle twig trembling beneath my hulking, boulder-like chest, begging to be crushed. My pecs squash him flat, mashing his mug into the mat with skull-shattering might. I smack my cock against the twin curves of his ass and grind it awake along their sculpted swell. My hips pound his dainty backside, even as he squirms, tensing and trying to buck me off. His pathetic fuckin’ resistance melts like butter under my sheer dominance—nothing but a sorry little twitch-fest. My junk roars to life faster than a souped-up dragster. I’m a goddamn bulldozer rolling over this fuckin’ worthless speck. I jerk up a couple inches and smash back down hard. A nasty crack rips from his guts under my brutal hammering, but all he’s got left is a faint gasp as the air ditches him. I drag myself slow, pulverizing him into the mat with every fiber of my strength, and growl in his ear: “Wrestle, runt!” I hoist my bulk up a hair, and the wimp starts thrashing under me. He knows I get off on his flailing fight—I crave those desperate, doomed swings. His mousy muscles got no shot at budging me, but even half-dead, he’s hell-bent on lighting my fuse. His tiny bum rubs my dick like mad, sparking like a match on rough timber. My member’s pulsing, primed to pay him back. Wielding my titanic bulk like a sledgehammer, I unleash a savage pounding on him. My gut slams him down with crushing weight. Every hit’s meaner than the last, sinking him deeper into the mat. His wriggling quits cold, his body caving to my relentless beatdown. The hardest blows grind his bones to dust, but he’s silent now—just ragged breaths forced out by my strikes. Conscious? Who gives a shit. After a dozen ruthless smacks, I flop onto him. His frail frame is scorching from the thrashing I dished out. My gargantuan mass locks him in place—no squirming, no breathing, nada. He’s mine to break, and my sheer heft could snuff him out for good. But I ain’t done—my cock’s howling for more. I peel off him. The shrimp wheezes, clawing for air, fumbling his wrecked shell. I give him a sec to pull it together—the grand finale’s coming. He knows a stiff corpse won’t rev my engine. I hiss in his ear: “Flip over!” Battered to hell, he still spins onto his back like a whipped little shit. He wouldn’t dream of crossing me—fear and heat tangle in his eyes as my monstrous shadow looms. I reward his obedience by slamming down full-force. His chest plate cracks, ribs splinter. My meat smacks his steel-hard cock with a loud thwack. The twisted little freak loves it. I’ve flattened him helpless again, and my shaft drinks in his agony. I grind it against his dick, mashing his lean torso with my thick, beefy bulk. His ribcage buckles as I lean in hard. His feebleness and frailty stoke my sadistic blaze. “Wrestle!” I snarl, easing up an inch to let him fan my flames. He tries to fight back—he knows every twitch stokes my fire. He’s desperate to keep me happy; he’s seen what happens to uppity punks who don’t. He don’t want that smoke. His beat-up, aching husk battles to please me. He’s so goddamn insignificant—my junk’s a live grenade. The big finish is close. I start ramming him for real with my cock, fuckin’ banging him into oblivion. My loins grind into his core with full throttle. Our tools collide, sizzling like live wires. My titan’s bulk pounds and smashes the runt under my brutal girth, raging harder each blow. His flopping fades fast, my crushing hits paralyzing him. He’s got no choice but to bow to my beastly fury. His shell cracks under my onslaught—too flimsy to take it. Bones groan and give, sinking with my blows. He’s gotta be out cold, but his stiffy’s trembling, ready to blow. I dive at him with unhinged rage, ready to tear him apart. His delicate rig shatters for good, bones snapping like brittle straw. My cock erupts like a damn volcano, and his tags along. Our gear’s drenched, dripping with heat. I unload again with feral power, roaring deep from my gut, and collapse, winded, on his smashed-up wreck. Our juices meld through the fabric like molten lava rivers. I sprawl over him, catching my breath. He’s pitifully small and breakable, the little shit. The shrimp’s out, his pretty face calm—miles from the fuckin’ hell he just ate. He nailed his role and served me right. I growl low, a sated beast’s rumble: “Good boy, you little fuck.”

No Limits Wrestling 🔞 brutal gay fetish fiction

11,051 views • 1 year ago