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A ring of 4 permanent magnets will spin either WITH a rotating magnetic field (made by 6 wire coils wired as U-V-W-U-V-W), or AGAINST a rotating magnetic field, depending on whether those 4 rotor magnets are arranged as N-S-N-S or N-N-N-N. The same principle holds true for 9 wire... show more

Red Collie (Dr. Horace Drew) scientist/inventor

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14,907 Aufrufe • vor 7 Monaten •via X (Twitter)

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I call whoever I want the n-word whenever I deem it necessary or funny. Further, I encourage everyone to do it. Do it. Do it until such a time as the entire national consensus is that stabbing someone is so much worse than cursing or slur slinging that suggesting otherwise is objectively laughable and results in the person claiming it’s the same or worse being reduced to the level of a clown for being so ridiculously idiotic in public. We will never equate words to violence. The Right did not and will not concede this ground to you mfs. If that means Power Word N must be used at the rate at which liberals breathe the accusation of “Nazi” at any and everyone they please, so be it. The slurs will continue until they lose all meaning, or your behavior improves and not a second sooner.

I call whoever I want the n-word whenever I deem it necessary or funny. Further, I encourage everyone to do it. Do it. Do it until such a time as the entire national consensus is that stabbing someone is so much worse than cursing or slur slinging that suggesting otherwise is objectively laughable and results in the person claiming it’s the same or worse being reduced to the level of a clown for being so ridiculously idiotic in public. We will never equate words to violence. The Right did not and will not concede this ground to you mfs. If that means Power Word N must be used at the rate at which liberals breathe the accusation of “Nazi” at any and everyone they please, so be it. The slurs will continue until they lose all meaning, or your behavior improves and not a second sooner.

Black-Guy™️

141,180 Aufrufe • vor 8 Monaten

On the World Yoga day on 21th, I am conducting a competition for the Chevella Parliament Constituency as I have previously done. 10 winners will get to trek with me in the Western Ghats to Chhatrapati Shivaji's forts and waterfalls. Here is the competition... You have to do a perfect Surya Namaskar and post the video. The videos should be posted before 22nd night. But those who post early have a better chance in selection. The trip can be dangerous. You should be fit & strong. 1/n

On the World Yoga day on 21th, I am conducting a competition for the Chevella Parliament Constituency as I have previously done. 10 winners will get to trek with me in the Western Ghats to Chhatrapati Shivaji's forts and waterfalls. Here is the competition... You have to do a perfect Surya Namaskar and post the video. The videos should be posted before 22nd night. But those who post early have a better chance in selection. The trip can be dangerous. You should be fit & strong. 1/n

Konda Vishweshwar Reddy

17,118 Aufrufe • vor 1 Jahr

the model in that clip has no good signal in it. it still put up +17% against the index's +5% the formula is doing the work R(t) = (Rmax / 7) · Σ s_i(t) seven separate signals, each scored, averaged into one number that's the entire model. no genius indicator anywhere in it and that's the part retail keeps missing retail hunts for the one signal that works a desk assumes every individual signal is weak and builds around that assumption here's why that assumption wins take N signals, each with sharpe s, and average them if they're uncorrelated, the combined sharpe is: s · √N seven weak signals at sharpe 0.3 each 0.3 × √7 = 0.79 nothing in that stack survives a backtest alone. together they clear the bar the noise in each signal is independent, so averaging cancels it the edge in each points the same way, so averaging keeps it that asymmetry is the whole mechanism but there's a catch, and it's the one that kills retail attempts correlation. the real formula is: s · √( N / (1 + (N−1)ρ) ) at ρ = 0.5 those same seven signals give: 0.3 × √(7 / 4) = 0.40 half the benefit, gone seven versions of momentum with different lookbacks aren't seven signals. they're one signal, repeated so the search isn't for better signals it's for signals that are wrong at different times grinold formalized this in 1989. the fundamental law of active management: IR = IC × √breadth skill per bet times the square root of how many independent bets you take you can be barely right, as long as you're barely right about many uncorrelated things renaissance doesn't run one model. it runs thousands of weak ones that's not a compromise. that's the design retail asks "is this signal good enough to trade" a desk asks "what does this add that i don't already have" the math is public. grinold's paper, every portfolio theory textbook the correlation matrix that tells you whether your signals are actually distinct is three lines of python they weren't finding better signals they were finding signals that disagree full breakdown in the article below

the model in that clip has no good signal in it. it still put up +17% against the index's +5% the formula is doing the work R(t) = (Rmax / 7) · Σ s_i(t) seven separate signals, each scored, averaged into one number that's the entire model. no genius indicator anywhere in it and that's the part retail keeps missing retail hunts for the one signal that works a desk assumes every individual signal is weak and builds around that assumption here's why that assumption wins take N signals, each with sharpe s, and average them if they're uncorrelated, the combined sharpe is: s · √N seven weak signals at sharpe 0.3 each 0.3 × √7 = 0.79 nothing in that stack survives a backtest alone. together they clear the bar the noise in each signal is independent, so averaging cancels it the edge in each points the same way, so averaging keeps it that asymmetry is the whole mechanism but there's a catch, and it's the one that kills retail attempts correlation. the real formula is: s · √( N / (1 + (N−1)ρ) ) at ρ = 0.5 those same seven signals give: 0.3 × √(7 / 4) = 0.40 half the benefit, gone seven versions of momentum with different lookbacks aren't seven signals. they're one signal, repeated so the search isn't for better signals it's for signals that are wrong at different times grinold formalized this in 1989. the fundamental law of active management: IR = IC × √breadth skill per bet times the square root of how many independent bets you take you can be barely right, as long as you're barely right about many uncorrelated things renaissance doesn't run one model. it runs thousands of weak ones that's not a compromise. that's the design retail asks "is this signal good enough to trade" a desk asks "what does this add that i don't already have" the math is public. grinold's paper, every portfolio theory textbook the correlation matrix that tells you whether your signals are actually distinct is three lines of python they weren't finding better signals they were finding signals that disagree full breakdown in the article below

delost

28,032 Aufrufe • vor 1 Monat

Viral video of 4th May released in July - a day before Parliament session starts. Meitei students missing since July 6 fate confirmed with pic released just a day after N. Biren Singh announces resolve to further take on the #NarcoTerr0rists and #IllegalMigrants Do you see a pattern? Do we need to be careful? Can't we control our instincts a bit?? Let us all call for some calm please. We have already suffered a lot, cant bear to suffer more!! Time to act in a planned manner and not react to every thing ... ELDERS please calm down our youngsters ... PLEASE 🙏🙏🙏

Viral video of 4th May released in July - a day before Parliament session starts. Meitei students missing since July 6 fate confirmed with pic released just a day after N. Biren Singh announces resolve to further take on the #NarcoTerr0rists and #IllegalMigrants Do you see a pattern? Do we need to be careful? Can't we control our instincts a bit?? Let us all call for some calm please. We have already suffered a lot, cant bear to suffer more!! Time to act in a planned manner and not react to every thing ... ELDERS please calm down our youngsters ... PLEASE 🙏🙏🙏

नरेशचन्द्र

45,658 Aufrufe • vor 2 Jahren

I told you to claim your free 16GB NVIDIA GPU for learning Local LLMs. Now I’m going to show you how to double its inference speed without touching the hardware. Google Colab gives you an enterprise grade NVIDIA Tesla T4 GPU for free, roughly 4 hours every single day. It is the absolute perfect sandbox for learning AI engineering, testing inference flags, and pushing massive context windows. The local AI timeline is moving way too fast. If you aren't using Multi Token Prediction (MTP) yet, you are leaving massive performance on the table. I just pushed DeepMind’s Gemma 4 26B to 64.9 t/s on this exact free tier. Let's look at the raw benchmark data running on an Ubuntu Linux environment with the latest compiled llama.cpp binaries and quantized GGUFs from Unsloth via HuggingFace: # Qwen 3.5 9B (Dense): Base: [ Prompt: 626.7 t/s | Generation: 21.0 t/s ] With MTP: [ Prompt: 539.1 t/s | Generation: 24.8 t/s ] # Gemma 4 26B QAT (MoE): Base: [ Prompt: 634.2 t/s | Generation: 48.3 t/s ] With MTP: [ Prompt: 572.1 t/s | Generation: 64.9 t/s ] If you are paying attention, this single Colab notebook reveals 3 massive observations about the current state of local LLMs: # 1. The MTP Speedup (Software Overclocking) Standard autoregressive decoding guesses one token at a time. MTP acts like a highly optimized, built in speculative decoder. It predicts multiple future tokens at once and the main model verifies them in parallel. The result? Zero accuracy loss and a massive throughput increase. Gemma jumped from 48 to 65 t/s just by flipping a flag. # 2. The MoE Paradox (Bigger is Faster) How does a 26B parameter model absolutely destroy a 9B model in raw speed on the exact same hardware? Architecture. Qwen 3.5 9B is a dense model. it activates all 9 billion parameters for every single token. Gemma 4 26B is a Mixture of Experts (MoE) model. It routes data efficiently, activating only 4B parameters per token. You get the reasoning capabilities of a 26B model with the compute cost of a 4B model. 3. Thinking Efficiency When I ran the exact same complex prompt on both models, the larger MoE spent significantly fewer "thinking" tokens to arrive at the correct answer. A smarter model doesn't just give better answers; it gets to the point faster, saving you compute cycles and preserving your context window. # Want to run this yourself? Here are the exact llama.cpp CLI commands. For Qwen (MTP is baked into the main model): ./llama-cli -m Qwen3.5-9B-UD-Q4_K_XL.gguf -p "Explain quantum computing." -n 2000 -c 8000 -ngl 99 -fa on --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.7 For Gemma (Using a separate lightweight draft model): ./llama-cli -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf --model-draft mtp-gemma-4-26B-A4B-it.gguf -p "Explain quantum computing." -n 2000 -c 8000 -ngl 99 -fa on --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.7 Stop waiting for a $3,000 rig. Boot up Colab, pull these models, and start building your stack. I’ve put together a completely free, cell by cell Google Colab notebook that automates this entire workflow so you can test it yourself in 5 minutes and learn. Link to the notebook is in the comments below. Experiemt with different MTP parameters, context windows and post your results in the comments.

I told you to claim your free 16GB NVIDIA GPU for learning Local LLMs. Now I’m going to show you how to double its inference speed without touching the hardware. Google Colab gives you an enterprise grade NVIDIA Tesla T4 GPU for free, roughly 4 hours every single day. It is the absolute perfect sandbox for learning AI engineering, testing inference flags, and pushing massive context windows. The local AI timeline is moving way too fast. If you aren't using Multi Token Prediction (MTP) yet, you are leaving massive performance on the table. I just pushed DeepMind’s Gemma 4 26B to 64.9 t/s on this exact free tier. Let's look at the raw benchmark data running on an Ubuntu Linux environment with the latest compiled llama.cpp binaries and quantized GGUFs from Unsloth via HuggingFace: # Qwen 3.5 9B (Dense): Base: [ Prompt: 626.7 t/s | Generation: 21.0 t/s ] With MTP: [ Prompt: 539.1 t/s | Generation: 24.8 t/s ] # Gemma 4 26B QAT (MoE): Base: [ Prompt: 634.2 t/s | Generation: 48.3 t/s ] With MTP: [ Prompt: 572.1 t/s | Generation: 64.9 t/s ] If you are paying attention, this single Colab notebook reveals 3 massive observations about the current state of local LLMs: # 1. The MTP Speedup (Software Overclocking) Standard autoregressive decoding guesses one token at a time. MTP acts like a highly optimized, built in speculative decoder. It predicts multiple future tokens at once and the main model verifies them in parallel. The result? Zero accuracy loss and a massive throughput increase. Gemma jumped from 48 to 65 t/s just by flipping a flag. # 2. The MoE Paradox (Bigger is Faster) How does a 26B parameter model absolutely destroy a 9B model in raw speed on the exact same hardware? Architecture. Qwen 3.5 9B is a dense model. it activates all 9 billion parameters for every single token. Gemma 4 26B is a Mixture of Experts (MoE) model. It routes data efficiently, activating only 4B parameters per token. You get the reasoning capabilities of a 26B model with the compute cost of a 4B model. 3. Thinking Efficiency When I ran the exact same complex prompt on both models, the larger MoE spent significantly fewer "thinking" tokens to arrive at the correct answer. A smarter model doesn't just give better answers; it gets to the point faster, saving you compute cycles and preserving your context window. # Want to run this yourself? Here are the exact llama.cpp CLI commands. For Qwen (MTP is baked into the main model): ./llama-cli -m Qwen3.5-9B-UD-Q4_K_XL.gguf -p "Explain quantum computing." -n 2000 -c 8000 -ngl 99 -fa on --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.7 For Gemma (Using a separate lightweight draft model): ./llama-cli -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf --model-draft mtp-gemma-4-26B-A4B-it.gguf -p "Explain quantum computing." -n 2000 -c 8000 -ngl 99 -fa on --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.7 Stop waiting for a $3,000 rig. Boot up Colab, pull these models, and start building your stack. I’ve put together a completely free, cell by cell Google Colab notebook that automates this entire workflow so you can test it yourself in 5 minutes and learn. Link to the notebook is in the comments below. Experiemt with different MTP parameters, context windows and post your results in the comments.

Alok

170,442 Aufrufe • vor 1 Monat

NOW: Grand Rapids rapper, Jameson Botwinski, released a song claiming that police officers should be r-ped for the death of Da’Quain Johnson who died after pulling a firearm on law enforcement weeks ago. “Rest in peace Da’Quain Johnson. What should we do to those cops when we find them? Lock em up, don’t kill them that’s hostile. Let them get r-ped, n** spilling out the nostrils and tonsils.” Botwinski, who goes by the rap name Sonny Ski, is not actually from Grand Rapids, and works as a truck driver for J.B. Hunt in addition to rapping.

NOW: Grand Rapids rapper, Jameson Botwinski, released a song claiming that police officers should be r-ped for the death of Da’Quain Johnson who died after pulling a firearm on law enforcement weeks ago. “Rest in peace Da’Quain Johnson. What should we do to those cops when we find them? Lock em up, don’t kill them that’s hostile. Let them get r-ped, n** spilling out the nostrils and tonsils.” Botwinski, who goes by the rap name Sonny Ski, is not actually from Grand Rapids, and works as a truck driver for J.B. Hunt in addition to rapping.

Grand Rapids Businessman

26,029 Aufrufe • vor 4 Monaten

❓️ ways to overcome worries that occur from time to time 💙 for me, back then i would do something (to overcome it), but nowadays i would do absolutely nothing and just lie down in the house. (with the mindset of) the mountain is a mountain and the water is water, that's how i freed myself (from those worries) t/n: "the mountain is a mountain and the water is water" is from buddhism, it's about how you are ought not to be confused with the truths in life and only then you'll achieve enlightenment, you need to keep your mind open and see everything just as it is

❓️ ways to overcome worries that occur from time to time 💙 for me, back then i would do something (to overcome it), but nowadays i would do absolutely nothing and just lie down in the house. (with the mindset of) the mountain is a mountain and the water is water, that's how i freed myself (from those worries) t/n: "the mountain is a mountain and the water is water" is from buddhism, it's about how you are ought not to be confused with the truths in life and only then you'll achieve enlightenment, you need to keep your mind open and see everything just as it is

♡

22,241 Aufrufe • vor 1 Jahr

a🧵on how to do the movable crater tech, You will learn this step by step, It should only take a couple of minutes to do it so lock in, Simple Overview: 1) Draw a black texture that represents a crack (use lasso or draw then fill tool) 2) Use a png to svg converter to make it into svg (you MUST make the crack black!) 3) Make the mesh of the crater 4) Export it as fbx and Import it in Roblox Studio 5) Create a viewport put the thing inside play with some lighting,material of crater n ur done 6) Make another viewport and make it so that it duplicates the character of the player every frame and puts in the viewport so that you can see it to be above the crater viewport Now for the detailed tutorial:

a🧵on how to do the movable crater tech, You will learn this step by step, It should only take a couple of minutes to do it so lock in, Simple Overview: 1) Draw a black texture that represents a crack (use lasso or draw then fill tool) 2) Use a png to svg converter to make it into svg (you MUST make the crack black!) 3) Make the mesh of the crater 4) Export it as fbx and Import it in Roblox Studio 5) Create a viewport put the thing inside play with some lighting,material of crater n ur done 6) Make another viewport and make it so that it duplicates the character of the player every frame and puts in the viewport so that you can see it to be above the crater viewport Now for the detailed tutorial:

QwinkleTee

40,103 Aufrufe • vor 1 Jahr

this "Hasan Bad" video is so slept on, like i know it's 4 hours but so much of it is wrong or an obvious self own in this clip, kilo is defending Hasan from those who attack him saying he "supports terrorism" or "supports the Houthis". Kilo gives him a pass by saying, "speaking positively of a group is not the same as endorsing every action they've ever taken", as well as an arbitrary clip of Hasan saying "violence bad" meanwhile, to these same ppl, Ethan Klein is literally a pro-genocide pro-child-killing n-zi, despite the fact that unlike Hasan's glowing rhetoric on the Houthis, Ethan will literally state that he hates Netanyahu, has called the IDF a terrorist organization, has said Israel is committing genocide, etc. imagine that Ethan was openly supportive of the IDF, would any of these ppl give him the same grace? clearly not, given Noah Samsen's video, talk about "useless definition of support"🤨

this "Hasan Bad" video is so slept on, like i know it's 4 hours but so much of it is wrong or an obvious self own in this clip, kilo is defending Hasan from those who attack him saying he "supports terrorism" or "supports the Houthis". Kilo gives him a pass by saying, "speaking positively of a group is not the same as endorsing every action they've ever taken", as well as an arbitrary clip of Hasan saying "violence bad" meanwhile, to these same ppl, Ethan Klein is literally a pro-genocide pro-child-killing n-zi, despite the fact that unlike Hasan's glowing rhetoric on the Houthis, Ethan will literally state that he hates Netanyahu, has called the IDF a terrorist organization, has said Israel is committing genocide, etc. imagine that Ethan was openly supportive of the IDF, would any of these ppl give him the same grace? clearly not, given Noah Samsen's video, talk about "useless definition of support"🤨

blvckcat🎀

79,751 Aufrufe • vor 1 Monat

$🚨🇺🇸 CINNABON FIASCO FUNDRAISERS: SOMALI COUPLE’S $45K PLEA DROWNS IN CRICKETS WHILE FIRED WORKER’S HITS $90K+ The Bay Park Square Cinnabon counter wasn’t just slinging cinnamon rolls - it was ground zero for a viral proxy war. Somali Muslim couple Farhia Ahmed and her husband hit the kiosk for a caramel pecan fix. She asks for extra syrup; 43-year-old cashier Crystal Terese Wilsey, solo on shift, fires back mocking her hijab as a “witch-craft bandana.” Relative pulls phone - boom, recording starts. Wilsey unloads: N-word twice (“b**** a*** n*****”), “I am racist and I’ll say that to the whole entire world,” double birds, butt-shake taunt. Couple hits back: “Idiot, motherf*****, you’re ruining your life - you’re fired.” Clip explodes to 10M+ views on TikTok & X by yesterday. Cinnabon’s knee-jerk: Franchise owner axes Wilsey Saturday, corp blasts “deeply troubling... unacceptable... dignity, respect, kindness” on X. N o word on banning the couple or staff support - just swift employee purge to dodge the PR blaze. Fundraiser fallout exposes the fracture: Cousin Sabrina Osman’s GoFundMe for the “traumatized” pair’s “legal fees after Cinnabon racial incident” launched Saturday, begging $45K for therapy, lawyers, “stop this racism.” As of this morning? A pathetic $20 scraped together from 5 donors - one $10 pity tip, rest small change. TikTok’s shadow-banning the audio hasn’t helped; pleas for Wisconsin attorneys echo in the void. Flip side: Crystal’s GiveSendGo “Stand With Crystal” - pitched as aid for a “hardworking White mom” harassed by “intimidating” Somalis - blasts past $90K toward $109K goal, 2K+ donors. MAGA heavyweights like Jack Posobiec amplify: “Left is lying... what happened before the video?” Donors seethe: “No White person should lose their job for refusing Somali harassment.” In 2025’s America, extra caramel costs your job. Or your viral infamy. Sources: GoFundMe , Primetimer, ABC News, TheGrio, People, Post Millennial, Right Angle News Network$

🚨🇺🇸 CINNABON FIASCO FUNDRAISERS: SOMALI COUPLE’S $45K PLEA DROWNS IN CRICKETS WHILE FIRED WORKER’S HITS $90K+ The Bay Park Square Cinnabon counter wasn’t just slinging cinnamon rolls - it was ground zero for a viral proxy war. Somali Muslim couple Farhia Ahmed and her husband hit the kiosk for a caramel pecan fix. She asks for extra syrup; 43-year-old cashier Crystal Terese Wilsey, solo on shift, fires back mocking her hijab as a “witch-craft bandana.” Relative pulls phone - boom, recording starts. Wilsey unloads: N-word twice (“b** a* n”), “I am racist and I’ll say that to the whole entire world,” double birds, butt-shake taunt. Couple hits back: “Idiot, motherf, you’re ruining your life - you’re fired.” Clip explodes to 10M+ views on TikTok & X by yesterday. Cinnabon’s knee-jerk: Franchise owner axes Wilsey Saturday, corp blasts “deeply troubling... unacceptable... dignity, respect, kindness” on X. N o word on banning the couple or staff support - just swift employee purge to dodge the PR blaze. Fundraiser fallout exposes the fracture: Cousin Sabrina Osman’s GoFundMe for the “traumatized” pair’s “legal fees after Cinnabon racial incident” launched Saturday, begging $45K for therapy, lawyers, “stop this racism.” As of this morning? A pathetic $20 scraped together from 5 donors - one $10 pity tip, rest small change. TikTok’s shadow-banning the audio hasn’t helped; pleas for Wisconsin attorneys echo in the void. Flip side: Crystal’s GiveSendGo “Stand With Crystal” - pitched as aid for a “hardworking White mom” harassed by “intimidating” Somalis - blasts past $90K toward $109K goal, 2K+ donors. MAGA heavyweights like Jack Posobiec amplify: “Left is lying... what happened before the video?” Donors seethe: “No White person should lose their job for refusing Somali harassment.” In 2025’s America, extra caramel costs your job. Or your viral infamy. Sources: GoFundMe , Primetimer, ABC News, TheGrio, People, Post Millennial, Right Angle News Network

Mario Nawfal

133,886 Aufrufe • vor 9 Monaten

Another day. Another racist death threat via voicemail. A triggered white man called my church and declared, “Time to toe tag a n*gger preacher who doesn’t know a f*cking thing about Jesus.” Let’s be clear about what that means. A toe tag is placed on a corpse in the morgue. This wasn’t political disagreement. This wasn’t theological debate. It was a death threat. Why was he offended? I posted a depiction of Jesus as a Black man. The same people who lecture everyone about “Christian love,” “religious liberty,” and “ending hate” are often the first to resort to racist slurs and violent threats when their mythology is challenged. If your faith is so fragile that a picture of a dark-skinned Jesus drives you to threaten murder, the problem isn’t the picture, it’s the wickedness in your heart. I’ve reported this threat to the FBI. The current administration has repeatedly said it will vigorously investigate threats against churches and violations of religious liberty. We’ll see whether those promises apply when the target is a Black pastor and the person making the threat is one of their own. Let me make one thing perfectly clear: I will not be intimidated. I will not be silenced. I will not stop preaching the Gospel. And I certainly will not stop exposing the sickness of racism that continues to masquerade as Christianity. Jesus wasn’t threatened because He preached comfort. He was threatened because He challenged the system. Some things never change.

Another day. Another racist death threat via voicemail. A triggered white man called my church and declared, “Time to toe tag a ngger preacher who doesn’t know a fcking thing about Jesus.” Let’s be clear about what that means. A toe tag is placed on a corpse in the morgue. This wasn’t political disagreement. This wasn’t theological debate. It was a death threat. Why was he offended? I posted a depiction of Jesus as a Black man. The same people who lecture everyone about “Christian love,” “religious liberty,” and “ending hate” are often the first to resort to racist slurs and violent threats when their mythology is challenged. If your faith is so fragile that a picture of a dark-skinned Jesus drives you to threaten murder, the problem isn’t the picture, it’s the wickedness in your heart. I’ve reported this threat to the FBI. The current administration has repeatedly said it will vigorously investigate threats against churches and violations of religious liberty. We’ll see whether those promises apply when the target is a Black pastor and the person making the threat is one of their own. Let me make one thing perfectly clear: I will not be intimidated. I will not be silenced. I will not stop preaching the Gospel. And I certainly will not stop exposing the sickness of racism that continues to masquerade as Christianity. Jesus wasn’t threatened because He preached comfort. He was threatened because He challenged the system. Some things never change.

Bishop Talbert Swan

18,145 Aufrufe • vor 1 Monat

Hills I will die on as someone who has coached high school football for over 29 years: 1. If you are not PASSIONATE about blessing, serving, and empowering those you are blessed to coach, this profession is not for you. 2. As much as we need to know our trade, getting to know (and to love), our players is far more important. 3. This is an INTENSE game, and it’ll never be “just a game”, but it IS a game. Remember that when you’re with your team, and more importantly, remember that when you’re with your family. 4. Just as we teach our athletes to “leave things better than they found them”, we need to leave our athletes better than they were when they first entered into our program. Never let a day pass without pouring into each and every individual. 5. Life is complicated enough, let’s not complicate the game in such a way that we take the joy of it away from others. In other words… Keep it simple. 6. Our words carry little (or NO), value, if we don’t practice what we preach. WE as coaches should be learning and growing each and every day, just as we expect our athletes to. 7. As much as we all want to win those championship rings for our athletes, make sure you don’t lose your wedding ring in the process. 8. The athlete that may be “difficult to reach/teach” (the one who may get on your last nerve more than you could ever imagine), is someone’s EVERYTHING. Get to know them as human beings, find out what motivates them, and do everything you can to help them to thrive. 9. Be where your feet are. Don’t fall into the trap of chasing logos and thinking that a higher division, a bigger school, or going from HS to college, or even college to the pros, is going to be more rewarding or fulfilling. 10. The legacy you leave as a coach will never be determined by your wins and losses, but by the lives you were able to change for the better!

Hills I will die on as someone who has coached high school football for over 29 years: 1. If you are not PASSIONATE about blessing, serving, and empowering those you are blessed to coach, this profession is not for you. 2. As much as we need to know our trade, getting to know (and to love), our players is far more important. 3. This is an INTENSE game, and it’ll never be “just a game”, but it IS a game. Remember that when you’re with your team, and more importantly, remember that when you’re with your family. 4. Just as we teach our athletes to “leave things better than they found them”, we need to leave our athletes better than they were when they first entered into our program. Never let a day pass without pouring into each and every individual. 5. Life is complicated enough, let’s not complicate the game in such a way that we take the joy of it away from others. In other words… Keep it simple. 6. Our words carry little (or NO), value, if we don’t practice what we preach. WE as coaches should be learning and growing each and every day, just as we expect our athletes to. 7. As much as we all want to win those championship rings for our athletes, make sure you don’t lose your wedding ring in the process. 8. The athlete that may be “difficult to reach/teach” (the one who may get on your last nerve more than you could ever imagine), is someone’s EVERYTHING. Get to know them as human beings, find out what motivates them, and do everything you can to help them to thrive. 9. Be where your feet are. Don’t fall into the trap of chasing logos and thinking that a higher division, a bigger school, or going from HS to college, or even college to the pros, is going to be more rewarding or fulfilling. 10. The legacy you leave as a coach will never be determined by your wins and losses, but by the lives you were able to change for the better!

Coach Hines 🇺🇸

63,241 Aufrufe • vor 3 Monaten

‼️🚨Breaking News (confirmed) I’ve received a list of Addu and Fuvahmulak people Oriyaan Appathurey wants to designate as SKP Gang members, after council election, unless they fund PNC. 1. Najah Shareef (EveningNaz / S. Hithadhu) DOB 1994 2. Mohamed Ahmed (Redrose / S. Hithadhu) DOB 1987 3. Ahmed Ibrahim (Gulhazarmaage, S. Hithadhu) DOB 1993 4. Ahmed Moosa Didi (Gulhazarmage, S. Hithadhu) DOB 1994 5. Mohamed Shaan (Seeshaan, S. Hithadhu) DOB 1992 6. Ali Assar (Sunreef / S. Hithadhu) DOB 1995 7. Maaz Mohamed Arif (Gulhazarmage, S. Hithadhu) DOB 1995 8. Ahmed Hunaif Abdul (Fenvillage / Gn. Fuahmulaku) DOB 2000 9. Ali Nawaz Amjad (Metrovilla S. Hithadhu) DOB 2000 On Monday, there will be a secret hearing at High Court, to prove to these individuals and their families that Appathurey WILL DO it unless they switch sides. The list was prepared by a PNC-Addu Police committee. Matrix Hussain and MP Sinaa were instrumental in compiling the list. This is a clear example of Appathurey using his power and state resources to promote his own agenda. Fuvahmulah has now become a world class destination, even featured in a Netflix documentary showing the famous Shark Point. Shark tourism there has brought global attention and economic opportunity. At the same time, Addu is beginning to see more tourism growth, with new direct flights from Sri Lanka and India coming next month too. Appathurey wants to destroy that by branding Fuvahmulak and Addu as gang operating hubs. This is a man who hates the two Atolls in Southern Hemisphere.

‼️🚨Breaking News (confirmed) I’ve received a list of Addu and Fuvahmulak people Oriyaan Appathurey wants to designate as SKP Gang members, after council election, unless they fund PNC. 1. Najah Shareef (EveningNaz / S. Hithadhu) DOB 1994 2. Mohamed Ahmed (Redrose / S. Hithadhu) DOB 1987 3. Ahmed Ibrahim (Gulhazarmaage, S. Hithadhu) DOB 1993 4. Ahmed Moosa Didi (Gulhazarmage, S. Hithadhu) DOB 1994 5. Mohamed Shaan (Seeshaan, S. Hithadhu) DOB 1992 6. Ali Assar (Sunreef / S. Hithadhu) DOB 1995 7. Maaz Mohamed Arif (Gulhazarmage, S. Hithadhu) DOB 1995 8. Ahmed Hunaif Abdul (Fenvillage / Gn. Fuahmulaku) DOB 2000 9. Ali Nawaz Amjad (Metrovilla S. Hithadhu) DOB 2000 On Monday, there will be a secret hearing at High Court, to prove to these individuals and their families that Appathurey WILL DO it unless they switch sides. The list was prepared by a PNC-Addu Police committee. Matrix Hussain and MP Sinaa were instrumental in compiling the list. This is a clear example of Appathurey using his power and state resources to promote his own agenda. Fuvahmulah has now become a world class destination, even featured in a Netflix documentary showing the famous Shark Point. Shark tourism there has brought global attention and economic opportunity. At the same time, Addu is beginning to see more tourism growth, with new direct flights from Sri Lanka and India coming next month too. Appathurey wants to destroy that by branding Fuvahmulak and Addu as gang operating hubs. This is a man who hates the two Atolls in Southern Hemisphere.

Hassan Kurusee

71,688 Aufrufe • vor 6 Monaten

Run Gemma 4 26b MTP on 8 GB VRAM GPUs at 25+ tokens/second. Flags included! local llm space is moving at terminal velocity. only 3 days ago google released gemma 4 26b a4b qat quants. more efficient than before, ran on 8gb vram at 20 tok/sec. and now just a few hours ago, mainline llama.cpp merged a massive update and we just shattered our own record. decode throughput went 25-40% up on the same 8 GB VRAM setup! Before MTP: 20 tps -> After MTP: 28 tps! llama.cpp just officially merged PR #23398 ("add Gemma4 MTP"), bringing native Multi-Token Prediction (MTP) support to Gemma 4 models. By running speculative drafting on the same 8GB VRAM RTX 4060 setup, my decode throughput on a 64k context instantly leaped to a blistering 25–27 tokens/sec thats 25-30% increase with the same hardware. Here is the architectural catch you need to know: Unlike the Qwen 3.5 and 3.6 series, which bake the MTP heads directly into the base GGUF, the Gemma 4 MTP head is not built in. You must download a separate, specialized MTP drafter GGUF (the assistant model) to act as the speculator. (I've dropped the download link in the replies). copy and try the exact flags: -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf --spec-type draft-mtp --spec-draft-n-max 6 --spec-draft-p-min 0.7 --spec-draft-model gemma-4-26b-A4B-it-assistant-Q4_0.gguf -c 64000 -v n-max 4 and p-min 0.7 is also worth checking out. benchmark on your setup and workflow. if you have a single 8 gb vram nvidia rtx 4060, 3060, 3070, 2080, 2070, grab the MTP drafter GGUF link in the comments and try it yourself. Check it out even if you have asmaller or a larger gpu, such as a single rtx 3090, 4090, 3060, 2060. MTP works for all gemma 4 sizes such as gemma 4 12b, gemma 4 31b etc. but remember to grab the correct mtp draft assistant models respectively. what are you benchmarking today

Run Gemma 4 26b MTP on 8 GB VRAM GPUs at 25+ tokens/second. Flags included! local llm space is moving at terminal velocity. only 3 days ago google released gemma 4 26b a4b qat quants. more efficient than before, ran on 8gb vram at 20 tok/sec. and now just a few hours ago, mainline llama.cpp merged a massive update and we just shattered our own record. decode throughput went 25-40% up on the same 8 GB VRAM setup! Before MTP: 20 tps -> After MTP: 28 tps! llama.cpp just officially merged PR #23398 ("add Gemma4 MTP"), bringing native Multi-Token Prediction (MTP) support to Gemma 4 models. By running speculative drafting on the same 8GB VRAM RTX 4060 setup, my decode throughput on a 64k context instantly leaped to a blistering 25–27 tokens/sec thats 25-30% increase with the same hardware. Here is the architectural catch you need to know: Unlike the Qwen 3.5 and 3.6 series, which bake the MTP heads directly into the base GGUF, the Gemma 4 MTP head is not built in. You must download a separate, specialized MTP drafter GGUF (the assistant model) to act as the speculator. (I've dropped the download link in the replies). copy and try the exact flags: -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf --spec-type draft-mtp --spec-draft-n-max 6 --spec-draft-p-min 0.7 --spec-draft-model gemma-4-26b-A4B-it-assistant-Q4_0.gguf -c 64000 -v n-max 4 and p-min 0.7 is also worth checking out. benchmark on your setup and workflow. if you have a single 8 gb vram nvidia rtx 4060, 3060, 3070, 2080, 2070, grab the MTP drafter GGUF link in the comments and try it yourself. Check it out even if you have asmaller or a larger gpu, such as a single rtx 3090, 4090, 3060, 2060. MTP works for all gemma 4 sizes such as gemma 4 12b, gemma 4 31b etc. but remember to grab the correct mtp draft assistant models respectively. what are you benchmarking today

Alok

200,913 Aufrufe • vor 2 Monaten

I am very proud of my work at Royal Caribbean, and I was honored to be set the complex task of reinventing their entire entertainment product from the ground up (by Lisa Lutoff-Perlo and Michael Bayley), and to make it the very best in the industry, if not the world. This lofty mission resulted in an incredibly rewarding decade for all involved. Massive changes delivered massive results. Job done👍. So, as a way to recognize the incredible support that the brand gave to all of my ideas, concepts, developments and inventions (and as a fun way to give back), I always included the famous “Crown & Anchor” logo in every entertainment production. Sometimes I did this openly and loudly and sometimes more subtly, as an “easter egg” for people to discover. It’s always there tho. (Have you spotted all of them?) Here are three examples of my not-so-top-secret “Show The Logo” strategy. – An example of a small hidden one, a medium-sized subtle one, and a LOUD ‘n’ PROUD HUGE ONE, that hides from nobody. Happy hunting. 😉

Nick Weir

117,109 Aufrufe • vor 1 Jahr

The three-body problem is a classic and notoriously difficult question in physics and mathematics. It asks: How do three objects, such as stars, planets, or moons, move under the influence of each other’s gravity? Unlike the simpler two-body problem, which has precise and predictable analytical solutions (like the Earth orbiting the Sun in an ellipse), the three-body problem quickly becomes chaotic and unpredictable. This complexity arises because each object's motion constantly affects, and is affected by, the other two. These gravitational interactions form a tangled and unstable system. In fact, there's no general formula that can solve all three-body scenarios exactly. This was first demonstrated in the 19th century by Henri Poincaré, whose work laid the foundations for chaos theory. While exact solutions remain elusive, scientists have discovered certain special cases where the motion is stable or periodic. One well-known example is the Lagrange points, where three bodies can maintain a stable triangular configuration. However, such neat solutions are rare. Today, thanks to powerful computers, researchers can simulate three-body systems with remarkable accuracy, helping us study triple-star systems, exoplanets, and asteroid dynamics. Yet even small changes in the starting conditions can lead to dramatically different outcomes, highlighting the sensitive dependence on initial conditions that defines chaotic systems. The three-body problem is actually a specific case of the broader n-body problem, where n can be any number of interacting bodies. As n increases, the complexity and unpredictability rise even further. The three-body problem serves as a vivid example of how simple laws of nature, like Newton’s law of gravity, can produce behavior that is intricate, unexpected, and profoundly difficult to predict.

The three-body problem is a classic and notoriously difficult question in physics and mathematics. It asks: How do three objects, such as stars, planets, or moons, move under the influence of each other’s gravity? Unlike the simpler two-body problem, which has precise and predictable analytical solutions (like the Earth orbiting the Sun in an ellipse), the three-body problem quickly becomes chaotic and unpredictable. This complexity arises because each object's motion constantly affects, and is affected by, the other two. These gravitational interactions form a tangled and unstable system. In fact, there's no general formula that can solve all three-body scenarios exactly. This was first demonstrated in the 19th century by Henri Poincaré, whose work laid the foundations for chaos theory. While exact solutions remain elusive, scientists have discovered certain special cases where the motion is stable or periodic. One well-known example is the Lagrange points, where three bodies can maintain a stable triangular configuration. However, such neat solutions are rare. Today, thanks to powerful computers, researchers can simulate three-body systems with remarkable accuracy, helping us study triple-star systems, exoplanets, and asteroid dynamics. Yet even small changes in the starting conditions can lead to dramatically different outcomes, highlighting the sensitive dependence on initial conditions that defines chaotic systems. The three-body problem is actually a specific case of the broader n-body problem, where n can be any number of interacting bodies. As n increases, the complexity and unpredictability rise even further. The three-body problem serves as a vivid example of how simple laws of nature, like Newton’s law of gravity, can produce behavior that is intricate, unexpected, and profoundly difficult to predict.

Erika 

215,611 Aufrufe • vor 1 Jahr