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Said it once, I’ll say it again… Do this routine 2-3x per week Focus: Ankles, feet & calves 1. Bilateral extensive pogo (2x30 seconds) 2. Unilateral extensive pogo (1x30 seconds) 3. Bilateral intensive pogo (2x8 seconds) 4. Unilateral intensive pogo (1x8 seconds) Quality contacts = 🔑

Gerry DeFilippo

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921,971 views • 2 years ago •via X (Twitter)

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Speed & power start from the ground Want to get better? Do this routine 2-3x per wk! 1. Bilateral extensive pogo 2x30 seconds 2. Unilateral extensive pogo 1x30 seconds 3. Bilateral intensive pogo 2x8 seconds 4. Unilateral intensive pogo 1x8 seconds Build big time feet/ankles!

Speed & power start from the ground Want to get better? Do this routine 2-3x per wk! 1. Bilateral extensive pogo 2x30 seconds 2. Unilateral extensive pogo 1x30 seconds 3. Bilateral intensive pogo 2x8 seconds 4. Unilateral intensive pogo 1x8 seconds Build big time feet/ankles!

Gerry DeFilippo

36,313 views • 11 months ago

Said it once, will say it always A routine that is one of our BIGGEST staples of speed development What’re you doing if you’re not solidifying your feet, ankles & calves? 1. Extensive bilateral x30 seconds 2. Extensive unilateral x30 seconds 3. Intensive bilateral x8 seconds 4. Intensive unilateral x8 seconds

Said it once, will say it always A routine that is one of our BIGGEST staples of speed development What’re you doing if you’re not solidifying your feet, ankles & calves? 1. Extensive bilateral x30 seconds 2. Extensive unilateral x30 seconds 3. Intensive bilateral x8 seconds 4. Intensive unilateral x8 seconds

Gerry DeFilippo

93,174 views • 1 year ago

🦵Great routine you can use to build limb elasticity The band takes on some body weight & helps speed up ground contact time 1. Extensive pogo x30 sec 2. Extensive SL pogo x30 sec 3. Intensive pogo x8 sec 4. Intensive SL pogo x8 sec 5. Bilateral drop jump x4 6. Unilateral drop jump x4

🦵Great routine you can use to build limb elasticity The band takes on some body weight & helps speed up ground contact time 1. Extensive pogo x30 sec 2. Extensive SL pogo x30 sec 3. Intensive pogo x8 sec 4. Intensive SL pogo x8 sec 5. Bilateral drop jump x4 6. Unilateral drop jump x4

Gerry DeFilippo

11,935 views • 6 months ago

Lower Body 3x Per Week Template Build Your Weekly Template: The two main categories of upper body movements: Anterior and Posterior. I break each one down into more sub-categories: Anterior bilateral and unilateral Posterior Straight Leg and Bent Knee Examples: Anterior: - Bilateral: Squat, Trap Bar, Leg Press - Unilateral: Split Squat, Lunge, Single Leg Squat Posterior: - Straight Leg: RDL, Deadlift, Back Extensions - Bent Knee: Leg Curl, Hip Bridges Do one Anterior and one Posterior per day. Sample 3 Day Template: Day 1: Front Squat + DB RDL Day 2: Split Squat + Hip Bridge Day 3: Trap Bar Deadlift + Nordic Hamstring Need help crafting your training program? I've got a free program design guide for you. Comment “GUIDE” below and I’ll send it.

Lower Body 3x Per Week Template Build Your Weekly Template: The two main categories of upper body movements: Anterior and Posterior. I break each one down into more sub-categories: Anterior bilateral and unilateral Posterior Straight Leg and Bent Knee Examples: Anterior: - Bilateral: Squat, Trap Bar, Leg Press - Unilateral: Split Squat, Lunge, Single Leg Squat Posterior: - Straight Leg: RDL, Deadlift, Back Extensions - Bent Knee: Leg Curl, Hip Bridges Do one Anterior and one Posterior per day. Sample 3 Day Template: Day 1: Front Squat + DB RDL Day 2: Split Squat + Hip Bridge Day 3: Trap Bar Deadlift + Nordic Hamstring Need help crafting your training program? I've got a free program design guide for you. Comment “GUIDE” below and I’ll send it.

Pat Basil

27,031 views • 2 years ago

Most runners under-load their calves. Heavy calf raises fix that. Runners usually do bodyweight single-leg raises and call it done. But your Achilles tendon takes massive load every stride. Bodyweight isn't enough stimulus to make it stronger. Heavy load is what drives the adaptation. I do these on leg day. 50kg in the hands, standing on a plate so my heels can drop below the toes. Focus points: → Full range of motion. Heels drop below the plate at the bottom, full extension at the top → Slow on the way down. (~2 seconds.) → Go bilateral when loading heavy. Single-leg has its place, but two legs lets you put real weight through the tendon → Don't rush the rep. This isn't a calf burner, it's a strength lift 3 x 8-10 reps. Train your calves in the gym so they can handle what running demands.

Most runners under-load their calves. Heavy calf raises fix that. Runners usually do bodyweight single-leg raises and call it done. But your Achilles tendon takes massive load every stride. Bodyweight isn't enough stimulus to make it stronger. Heavy load is what drives the adaptation. I do these on leg day. 50kg in the hands, standing on a plate so my heels can drop below the toes. Focus points: → Full range of motion. Heels drop below the plate at the bottom, full extension at the top → Slow on the way down. (~2 seconds.) → Go bilateral when loading heavy. Single-leg has its place, but two legs lets you put real weight through the tendon → Don't rush the rep. This isn't a calf burner, it's a strength lift 3 x 8-10 reps. Train your calves in the gym so they can handle what running demands.

Tim Roozendaal

31,153 views • 3 months ago

Just generated this face-swap video in under 60 seconds 1. record a simple vertical talking clip on your phone 2. upload it into kling 2.6 and choose face swap mode 3. add the face you want to use 4. kling auto-matches expressions, lips, and head movement same script same pacing different face no reshoots no creators no editing headache rt + comment “motion” and i’ll dm the workflow (follow for dm)

Just generated this face-swap video in under 60 seconds 1. record a simple vertical talking clip on your phone 2. upload it into kling 2.6 and choose face swap mode 3. add the face you want to use 4. kling auto-matches expressions, lips, and head movement same script same pacing different face no reshoots no creators no editing headache rt + comment “motion” and i’ll dm the workflow (follow for dm)

Florin

11,520 views • 6 months ago

And for my next magic trick… I’ll teach you how to sculpt a thin waist and strong core in just one month; designed for even the laziest people. Do this for 1 minute, 3–5x per day. I know you’re busy, so I sped up the video in the hope that you’ll actually try it. You’re very smart; you’ll get the concept instantly. Video key: 🎈 = Inhale (full, deep belly breath) 🌬️ = Engage deep core muscles. Hold for 30 seconds while gently exhaling. Once fully exhaled, keep the engagement and continue breathing normally (do NOT hold your breath). The longer I hold, you can see the more muscles I recruit. Questions? Try it right now! (Unless you are ill or injured)

And for my next magic trick… I’ll teach you how to sculpt a thin waist and strong core in just one month; designed for even the laziest people. Do this for 1 minute, 3–5x per day. I know you’re busy, so I sped up the video in the hope that you’ll actually try it. You’re very smart; you’ll get the concept instantly. Video key: 🎈 = Inhale (full, deep belly breath) 🌬️ = Engage deep core muscles. Hold for 30 seconds while gently exhaling. Once fully exhaled, keep the engagement and continue breathing normally (do NOT hold your breath). The longer I hold, you can see the more muscles I recruit. Questions? Try it right now! (Unless you are ill or injured)

Jessica

42,718 views • 9 months ago

€10,000/month per AI influencer (Aitana López). $8,000–34,000 per sponsored post at the top. Lil Miquela has 2.4M followers and brand deals with Prada, Calvin Klein, Samsung, Dior. she doesn't exist. the new generation runs on a tighter stack: 1. lock a face once. one platform (Apob AI / Higgsfield) keeps it identical across every video. 2. find a viral reference clip in your niche dance, lifestyle, fitness, fashion. 3. swap your AI face onto the original creator's body. 90 seconds per clip. 4. Seedance 2.0 or Kling Motion Control handles the motion. zero animation skills required. 5. post 2–3 times a day across TikTok, Reels, Shorts, Facebook simultaneously. 6. one viral clone = 50,000–500,000 views on a brand new account in a weekend. first dollar in week 2: $9–27 digital product in bio. brand deals in month 3–6 once metrics warm up. portfolio play: same backend runs 3–5 personas in parallel. influencer economy 2024: real face, real fatigue, one bad day kills a brand deal. influencer economy 2026: a face that never ages, never cancels, never burns out. the next million-follower account on your FYP probably wasn't born. it was prompted, swapped, and shipped while the operator slept.

dunik

90,686 views • 3 months ago

Microsoft's hidden Windows 11 trick makes apps launch 70% faster. I tested it on a low-end PC, and early results are promising. Right now, when you click Start, open File Explorer, launch Edge, or right-click for a context menu, and there’s often that tiny micro-stutter before anything happens. Microsoft is now testing a feature called Low Latency Profile. Once turned on, and you do a high-priority action, Windows 11 briefly pushes the CPU to max frequency for 1–3 seconds, finishes the task faster, then drops back down. In my testing on a constrained VM with just 2 cores and 4GB RAM, the difference was obvious. Edge, Outlook, Copilot, and the Start menu opened much faster. CPU usage spiked to around 96–97%, but only for a few seconds. For high-end PCs, the difference may be small. But for budget laptops and low-end Windows 11 machines, this could be a real game-changer.

Windows Latest

928,952 views • 3 months ago

SEEDANCE prompt : Presented in a style that resembles real video footage captured with an unprocessed iPhone handheld camera. All camera settings are automated, with no post-processing coloring or special effects applied. The footage features genuine handheld vibrations and the slight movement due to the operator's breathing. Autofocus occasionally experiences delays and brief loss of focus. Automatic white balance switches rapidly between strong lighting from flashlights and ambient classroom light. The image is overall flat, preserving the real-life lens flare, edge blurriness, slight overexposure, and motion blur. Only natural environmental sounds from within the scene are used, including sounds of chalk writing, page turning, student whispers, and recording notifications from the phone. The footage is captured from a first-person handheld perspective from behind the classroom. The camera movement is natural, with slight shaking occurring occasionally due to nervousness. A tall, short-haired Asian female teacher is depicted in the footage. Clothing She stood in front of the classroom blackboard. She had a well-proportioned figure, with a delicate makeup, and wore a pair of black-rimmed glasses. A high-intensity lighting source was placed on the floor in front of the classroom, shining brightly upwards. At 0 seconds, the camera was positioned behind the classroom, focusing on the female teacher as she stood sideways in front of the blackboard, writing with chalk. The high-intensity light from below illuminated her body, creating a strong backlight effect and prominent highlights. At 1 second, the light passed through the semi-transparent fabric of her black net dress, clearly highlighting the contours of her thighs, hips, and body. The autofocus briefly lost focus due to the intense light, but then re-established itself. At 2 seconds, the female teacher continued to write on the blackboard, and the sound of chalk against the blackboard was clearly audible. Fine chalk dust floated in the air of the 3 seconds, the student on the left side of the front row already noticed the bright light around them. Excitedly, she took out her phone and started recording the teacher secretly. The reflection on the screen made a brief flash in the video. At 4 seconds, the female teacher finished writing, put down her chalk, and turned to face the students. At 5 seconds, she picked up the dark red textbook on the table, held it with both hands, and stood up straight. At 6 seconds, the female teacher began teaching, holding the textbook in her hands, with her gaze directed towards the back of the classroom. The bright light from below made her silhouette even more distinct. At 7 seconds, the students in the front row already started talking in low voices. The student on the left continued to record secretly, while the student on the right tilted her head to look at the screen. At 8 seconds, the female teacher suddenly noticed that the back of the classroom was unusually quiet. Her movements paused briefly, and she slowly closed the textbook, with a slight frown on her 9 seconds, she raised her head, her gaze piercing straight through the black frame of her glasses, towards the back of the classroom. Her expression changed from concentration to obvious confusion and seriousness. At 10 seconds, the female teacher looked directly at the camera, speaking in a low but firm voice: “Wait, what’s going on?” Her voice sounded particularly clear in the classroom. At 11 seconds, it could be seen that several students were lowering their heads to avoid her gaze. One student quickly put away his phone. At 12 seconds, the female teacher remained standing in the middle of the classroom. The bright light from below elongated her silhouette. She didn’t press further, but simply stared silently at the back of the classroom, her eyes filled with obvious questioning and dissatisfaction. At 13 seconds, she tilted her head slightly, and the bright light highlighted the outline of her black net-style dress. A tense silence filled the 14 seconds, the female teacher held the book against her chest. Her voice was calm, but there was a sense of pressure in her tone: “Let’s continue with the lesson.” At 15 seconds, she turned back towards the blackboard. The scene ended in a tense and awkward atmosphere. The footage was captured using an unprocessed iPhone, with a natural, unrefined quality, without any post-processing adjustments or special effects. All of the camera movements were consistent with the physical characteristics of real-life classroom snaps. Changes in lighting and focus adjustments were all handled automatically.

SEEDANCE prompt : Presented in a style that resembles real video footage captured with an unprocessed iPhone handheld camera. All camera settings are automated, with no post-processing coloring or special effects applied. The footage features genuine handheld vibrations and the slight movement due to the operator's breathing. Autofocus occasionally experiences delays and brief loss of focus. Automatic white balance switches rapidly between strong lighting from flashlights and ambient classroom light. The image is overall flat, preserving the real-life lens flare, edge blurriness, slight overexposure, and motion blur. Only natural environmental sounds from within the scene are used, including sounds of chalk writing, page turning, student whispers, and recording notifications from the phone. The footage is captured from a first-person handheld perspective from behind the classroom. The camera movement is natural, with slight shaking occurring occasionally due to nervousness. A tall, short-haired Asian female teacher is depicted in the footage. Clothing She stood in front of the classroom blackboard. She had a well-proportioned figure, with a delicate makeup, and wore a pair of black-rimmed glasses. A high-intensity lighting source was placed on the floor in front of the classroom, shining brightly upwards. At 0 seconds, the camera was positioned behind the classroom, focusing on the female teacher as she stood sideways in front of the blackboard, writing with chalk. The high-intensity light from below illuminated her body, creating a strong backlight effect and prominent highlights. At 1 second, the light passed through the semi-transparent fabric of her black net dress, clearly highlighting the contours of her thighs, hips, and body. The autofocus briefly lost focus due to the intense light, but then re-established itself. At 2 seconds, the female teacher continued to write on the blackboard, and the sound of chalk against the blackboard was clearly audible. Fine chalk dust floated in the air of the 3 seconds, the student on the left side of the front row already noticed the bright light around them. Excitedly, she took out her phone and started recording the teacher secretly. The reflection on the screen made a brief flash in the video. At 4 seconds, the female teacher finished writing, put down her chalk, and turned to face the students. At 5 seconds, she picked up the dark red textbook on the table, held it with both hands, and stood up straight. At 6 seconds, the female teacher began teaching, holding the textbook in her hands, with her gaze directed towards the back of the classroom. The bright light from below made her silhouette even more distinct. At 7 seconds, the students in the front row already started talking in low voices. The student on the left continued to record secretly, while the student on the right tilted her head to look at the screen. At 8 seconds, the female teacher suddenly noticed that the back of the classroom was unusually quiet. Her movements paused briefly, and she slowly closed the textbook, with a slight frown on her 9 seconds, she raised her head, her gaze piercing straight through the black frame of her glasses, towards the back of the classroom. Her expression changed from concentration to obvious confusion and seriousness. At 10 seconds, the female teacher looked directly at the camera, speaking in a low but firm voice: “Wait, what’s going on?” Her voice sounded particularly clear in the classroom. At 11 seconds, it could be seen that several students were lowering their heads to avoid her gaze. One student quickly put away his phone. At 12 seconds, the female teacher remained standing in the middle of the classroom. The bright light from below elongated her silhouette. She didn’t press further, but simply stared silently at the back of the classroom, her eyes filled with obvious questioning and dissatisfaction. At 13 seconds, she tilted her head slightly, and the bright light highlighted the outline of her black net-style dress. A tense silence filled the 14 seconds, the female teacher held the book against her chest. Her voice was calm, but there was a sense of pressure in her tone: “Let’s continue with the lesson.” At 15 seconds, she turned back towards the blackboard. The scene ended in a tense and awkward atmosphere. The footage was captured using an unprocessed iPhone, with a natural, unrefined quality, without any post-processing adjustments or special effects. All of the camera movements were consistent with the physical characteristics of real-life classroom snaps. Changes in lighting and focus adjustments were all handled automatically.

John

11,417 views • 2 months ago

We replaced a $221K/year UGC team with this Nano Banana Ad factory. Now this brand is running 900+ super realistic AI ads on Facebook and Tiktok And posts 20 new UGC Videos per day What agencies charge $8K-15K for (20 UGC videos, 3-week turnaround) Now takes 47 seconds. Unlimited creators. Most brands are stuck in the UGC nightmare: → Paying $15K+ monthly for inconsistent creators → Waiting 2-3 weeks for basic testimonial videos → Getting 5-8 generic videos max per campaign → Creators ghosting mid-production This system obliterates that completely. Upload your product → AI generates 900+ UGC variations → ready-to-launch video ads. Not mockups. Real scroll-stopping content. Built after watching brands burn $200K+ on creator networks that deliver recycled testimonials. The efficiency gains? Ridiculous: → 20x UGC production velocity → 97% cost reduction vs agencies → Unlimited video variations → Zero creator dependencies ever again How it works: 1️⃣ AI Avatar Generation Engine - Creates 15+ authentic spokespeople in seconds 2️⃣ Script Intelligence System - Maps product benefits to testimonial angles automatically 3️⃣ UGC Production Stack - Generates lifestyle demos, unboxings, testimonials instantly 4️⃣ Platform Optimization - Auto-formats for TikTok/FB/Instagram algorithms Deployed across 200+ brands generating $50M+ tracked revenue. 47-second production time per video. Complete UGC independence. Want to deploy this inside your brand? 1️⃣ Follow me 2️⃣ Comment "FACTORY" below and REPOST this post (I'll DM you the complete system once you follow me)

Demirdjian Twins

46,502 views • 9 months ago

🚨 Most people stay stiff and injury-prone because they skip moves like this. Tight hamstrings and weak cores sabotage our ability to move fluidly. Plus, they contribute to back pain, poor posture, and slower recovery. The windmill toe touch flips that script. This dynamic gem stretches your hamstrings, calves, and lower back while firing up your core, obliques, and shoulders. It boosts rotational mobility, balance, and coordination, all in one move. Perfect for warming up or unlocking better movement in daily life and workouts. Better flexibility means reduced risk of strains, improved performance, and smoother functional movement. No more feeling "stuck" when you bend or twist. Try it: 1. Stand with feet wide, reach one hand to the opposite foot while rotating your torso and extending the other arm up (like a windmill). 2. Alternate sides with control. 3. Start with 8-10 reps per side. Do this movement 2-3x/week and feel the difference in how you move. What’s one mobility move that’s transformed your flexibility? 👇 #Flexibility #Mobility #Longevity

🚨 Most people stay stiff and injury-prone because they skip moves like this. Tight hamstrings and weak cores sabotage our ability to move fluidly. Plus, they contribute to back pain, poor posture, and slower recovery. The windmill toe touch flips that script. This dynamic gem stretches your hamstrings, calves, and lower back while firing up your core, obliques, and shoulders. It boosts rotational mobility, balance, and coordination, all in one move. Perfect for warming up or unlocking better movement in daily life and workouts. Better flexibility means reduced risk of strains, improved performance, and smoother functional movement. No more feeling "stuck" when you bend or twist. Try it: 1. Stand with feet wide, reach one hand to the opposite foot while rotating your torso and extending the other arm up (like a windmill). 2. Alternate sides with control. 3. Start with 8-10 reps per side. Do this movement 2-3x/week and feel the difference in how you move. What’s one mobility move that’s transformed your flexibility? 👇 #Flexibility #Mobility #Longevity

Kristie Leong M.D.

13,900 views • 1 month ago

Gemma 4 26B A4B MoE - 500+ t/s decode - Single RTX 4090 (24 GB VRAM) - Llama.cpp concurrency 24 - q8 kv cache How many API users can you simultaneously host on a single RTX 4090 (24 GB VRAM) before it crashes? Yesterday, I proved you can host 14 active users using unquantized memory. Today, I used 8 bit KV Cache Quantization to hack the VRAM footprint. I successfully scaled to 24 concurrent users without a single dropped connection. A 71% server capacity boost for free. By adding the -ctk q8_0 -ctv q8_0 flags to llama.cpp, you compress the KV cache context memory from 16 bit to 8 bit. This unlocks massive concurrency limits on Gemma 4 26B (MoE) on a single 24GB consumer GPU. Here is the exact telemetry from pushing 8 bit quantization to its absolute physical edge: # TEST 1: The 24 User Concurrency Max Server Config: 24 slots (np 24) | 4,096 context per slot | 98,304 Total Context Client Load: 24 simultaneous requests (2,000 token prompt per user) Unquantized KV cache for this load requires 28GB+ VRAM (Instant OOM). Quantized to Q8, it allocated safely at 23.35 GB. The C++ engine crunched the entire batch in 28.5 seconds. Decode Speed: 21 t/s (Per User) | 500 t/s (Agg) # TEST 2: The 48 User Queue Overload What happens to a compressed cache during a traffic spike? Server Config: 24 slots (np 24) | 4,096 context per slot | 98,304 Total Context Client Load: 48 simultaneous requests (2k token prompt per user) Zero queue drops. The scheduler flushed and hot swapped the 8 bit memory flawlessly on the fly, completing all 48 users in 66.0 seconds (a perfect 2.3x queue scaling multiplier). Decode Speed: 18 t/s (Per User) | 430 t/s (Agg) # TEST 3: The 8 User RAG Slam Server Config: 8 slots (np 8) | 60,000 context per slot | 480,000 Total Context Client Load: 8 simultaneous requests (30k token prompt per user) It allocated 23.83 GB VRAM and chewed through ~240,000 prefill tokens in 46 seconds under massive memory pressure. Prefill Speed: 6,200 t/s (Agg) Decode Speed: 22 t/s (Per User) | 175 t/s (Agg) # The Engineering Alpha (The Quantization Tradeoff): You gain a massive 71% increase in server capacity, but what do you lose? Compute latency. Because the cache is stored in 8 bit, the GPU's cores have to dequantize the memory back to 16 bit on the fly during every single prefill step. In my unquantized tests yesterday, single slot prefill was hitting ~1,500+ t/s. Today, under the heavy 48-user Q8 load, prefill dropped as low as ~750 t/s. You trade a few seconds of initial prefill latency to essentially double your API hosting capacity. For production high volume SaaS, this is the ultimate unit economics cheat code. Here is the exact command to run a 24 user Q8 continuous batching server on your own single 4090, single 3090 or any 24gb vram rig: ./build/bin/llama-server -m gemma-4-26B-A4B-it.gguf -c 98304 -np 24 -b 2048 -ub 2048 -ngl 99 -fa on -ctk q8_0 -ctv q8_0 --port 8080 (Note: -c 98304 allocates exactly 4,096 tokens of context per user across 24 slots). Hugging Face links to the Unsloth Gemma 4 26B QAT quants along with performance graphs available in the replies. Would you trade 3 seconds of Time To First Token latency to double your active user capacity?

Gemma 4 26B A4B MoE - 500+ t/s decode - Single RTX 4090 (24 GB VRAM) - Llama.cpp concurrency 24 - q8 kv cache How many API users can you simultaneously host on a single RTX 4090 (24 GB VRAM) before it crashes? Yesterday, I proved you can host 14 active users using unquantized memory. Today, I used 8 bit KV Cache Quantization to hack the VRAM footprint. I successfully scaled to 24 concurrent users without a single dropped connection. A 71% server capacity boost for free. By adding the -ctk q8_0 -ctv q8_0 flags to llama.cpp, you compress the KV cache context memory from 16 bit to 8 bit. This unlocks massive concurrency limits on Gemma 4 26B (MoE) on a single 24GB consumer GPU. Here is the exact telemetry from pushing 8 bit quantization to its absolute physical edge: # TEST 1: The 24 User Concurrency Max Server Config: 24 slots (np 24) | 4,096 context per slot | 98,304 Total Context Client Load: 24 simultaneous requests (2,000 token prompt per user) Unquantized KV cache for this load requires 28GB+ VRAM (Instant OOM). Quantized to Q8, it allocated safely at 23.35 GB. The C++ engine crunched the entire batch in 28.5 seconds. Decode Speed: 21 t/s (Per User) | 500 t/s (Agg) # TEST 2: The 48 User Queue Overload What happens to a compressed cache during a traffic spike? Server Config: 24 slots (np 24) | 4,096 context per slot | 98,304 Total Context Client Load: 48 simultaneous requests (2k token prompt per user) Zero queue drops. The scheduler flushed and hot swapped the 8 bit memory flawlessly on the fly, completing all 48 users in 66.0 seconds (a perfect 2.3x queue scaling multiplier). Decode Speed: 18 t/s (Per User) | 430 t/s (Agg) # TEST 3: The 8 User RAG Slam Server Config: 8 slots (np 8) | 60,000 context per slot | 480,000 Total Context Client Load: 8 simultaneous requests (30k token prompt per user) It allocated 23.83 GB VRAM and chewed through ~240,000 prefill tokens in 46 seconds under massive memory pressure. Prefill Speed: 6,200 t/s (Agg) Decode Speed: 22 t/s (Per User) | 175 t/s (Agg) # The Engineering Alpha (The Quantization Tradeoff): You gain a massive 71% increase in server capacity, but what do you lose? Compute latency. Because the cache is stored in 8 bit, the GPU's cores have to dequantize the memory back to 16 bit on the fly during every single prefill step. In my unquantized tests yesterday, single slot prefill was hitting ~1,500+ t/s. Today, under the heavy 48-user Q8 load, prefill dropped as low as ~750 t/s. You trade a few seconds of initial prefill latency to essentially double your API hosting capacity. For production high volume SaaS, this is the ultimate unit economics cheat code. Here is the exact command to run a 24 user Q8 continuous batching server on your own single 4090, single 3090 or any 24gb vram rig: ./build/bin/llama-server -m gemma-4-26B-A4B-it.gguf -c 98304 -np 24 -b 2048 -ub 2048 -ngl 99 -fa on -ctk q8_0 -ctv q8_0 --port 8080 (Note: -c 98304 allocates exactly 4,096 tokens of context per user across 24 slots). Hugging Face links to the Unsloth Gemma 4 26B QAT quants along with performance graphs available in the replies. Would you trade 3 seconds of Time To First Token latency to double your active user capacity?

Alok

17,465 views • 21 days ago

This new skill for Hermes Agent wipes your personal data off hundreds of broker sites for free, hands-off. It's called Unbroker. I’ve been testing it this week and it's incredible. Here is the full setup: 1. Install it by typing: hermes skills install official/security/unbroker 2. Connect browser automation: Wire up Browserbase so the agent can drive real broker opt-out forms. 3. Do the intake: Give consent, then feed it your info. 4. Fire one prompt: "Use the unbroker skill to remove my data from data brokers. Here is my consent. Run it hands-off." Hundreds of data brokers publish your name, addresses, phone, email, even your relatives. Anyone can find where you live in about ten seconds. The law says brokers have to delete your data if you ask. There's just no easy bulk button for it. Services charge $100’s a year to file the exact requests you could submit yourself for free. Unbroker does the same thing locally, and it's free. It fans out sub-agents, scans every broker site, drafts or sends opt-out emails, and only comes back to you for the ones that need a human. The best part is it loops. Brokers re-list you over time, so it schedules rechecks and re-files on its own. Set it once, it keeps working. One skill, one prompt, dozens of broker sites handled.

This new skill for Hermes Agent wipes your personal data off hundreds of broker sites for free, hands-off. It's called Unbroker. I’ve been testing it this week and it's incredible. Here is the full setup: 1. Install it by typing: hermes skills install official/security/unbroker 2. Connect browser automation: Wire up Browserbase so the agent can drive real broker opt-out forms. 3. Do the intake: Give consent, then feed it your info. 4. Fire one prompt: "Use the unbroker skill to remove my data from data brokers. Here is my consent. Run it hands-off." Hundreds of data brokers publish your name, addresses, phone, email, even your relatives. Anyone can find where you live in about ten seconds. The law says brokers have to delete your data if you ask. There's just no easy bulk button for it. Services charge $100’s a year to file the exact requests you could submit yourself for free. Unbroker does the same thing locally, and it's free. It fans out sub-agents, scans every broker site, drafts or sends opt-out emails, and only comes back to you for the ones that need a human. The best part is it loops. Brokers re-list you over time, so it schedules rechecks and re-files on its own. Set it once, it keeps working. One skill, one prompt, dozens of broker sites handled.

Alvaro Cintas

29,356 views • 1 month ago

If you have lagging Arms and bringing them up to par is your TOP PRIORITY… I’d recommend doing something like this each week: Upper A • 2-3 sets of “The GREATEST Triceps exercise known to man” • 2-3 sets of Supinated Grip Curls w/ Upper Arm Support • 2-3 sets of Machine or Cable Overhead Extensions • 2-3 sets of Hammer Grip Curls w/ Upper Arm Support Upper B (Performed 3-4 days after Upper A) • 2-3 sets of Dip Machine • 2-3 sets of Machine or Cable Preacher Curls • 2-3 sets of “The GREATEST Triceps exercise known to man” OR Machine or Cable Overhead Extensions • 2-3 sets of Hammer Grip Curls w/ Upper Arm Support This will result in you doing somewhere between 8-12 sets of direct Bicep and Tricep work per week Low likelihood you need any more volume than that to improve your Arms mightily if following the notes below: 1) The ideal rep range to be using when performing the exercises mentioned is the 5ish to 10ish rep range — Choose a weight you can do for 5, 6, 7 reps @ 0-2 RIR…once you can do that weight for 8, 9, 10ish reps, increase the load by 5ish pounds 2) You should perform all reps of all the listed exercises with a controlled (but not overly slow) eccentric and an explosive (but still controlled) concentric 3) You should perform these exercises very early in your workout to ensure they are as efficient/effective as possible — If you perform them later on, you will not get as robust a growth stimulus from the sets because of the outstanding fatigue that will be present from the earlier sets/exercises in your workout Additional notes: - You may sub any of these exercises for comparable exercises due to preferences and/or equipment availability — Ex: Dip Machine subbed for Weighted Dips - I probably forgot something that I should’ve mentioned…if I think of it I’ll drop it in the post below

If you have lagging Arms and bringing them up to par is your TOP PRIORITY… I’d recommend doing something like this each week: Upper A • 2-3 sets of “The GREATEST Triceps exercise known to man” • 2-3 sets of Supinated Grip Curls w/ Upper Arm Support • 2-3 sets of Machine or Cable Overhead Extensions • 2-3 sets of Hammer Grip Curls w/ Upper Arm Support Upper B (Performed 3-4 days after Upper A) • 2-3 sets of Dip Machine • 2-3 sets of Machine or Cable Preacher Curls • 2-3 sets of “The GREATEST Triceps exercise known to man” OR Machine or Cable Overhead Extensions • 2-3 sets of Hammer Grip Curls w/ Upper Arm Support This will result in you doing somewhere between 8-12 sets of direct Bicep and Tricep work per week Low likelihood you need any more volume than that to improve your Arms mightily if following the notes below: 1) The ideal rep range to be using when performing the exercises mentioned is the 5ish to 10ish rep range — Choose a weight you can do for 5, 6, 7 reps @ 0-2 RIR…once you can do that weight for 8, 9, 10ish reps, increase the load by 5ish pounds 2) You should perform all reps of all the listed exercises with a controlled (but not overly slow) eccentric and an explosive (but still controlled) concentric 3) You should perform these exercises very early in your workout to ensure they are as efficient/effective as possible — If you perform them later on, you will not get as robust a growth stimulus from the sets because of the outstanding fatigue that will be present from the earlier sets/exercises in your workout Additional notes: - You may sub any of these exercises for comparable exercises due to preferences and/or equipment availability — Ex: Dip Machine subbed for Weighted Dips - I probably forgot something that I should’ve mentioned…if I think of it I’ll drop it in the post below

Dean Turner

66,141 views • 4 months ago

how to CRACK the tiktok algorithm in 2026... the algorithm in 2026 is not judging your account. it's judging your first 500 views. everyone overthinks this. here's the actual method to crack it: every video starts from ZERO. doesn't matter if your last one hit 1M or your account has 200k followers. tiktok takes the new post, runs it through content moderation first, THEN drops it to a small cold test pool. that pool isn't random. it's people who already watch your exact niche, because tiktok's whole goal is keeping people on the app, so it shows your video to the people most likely to sit through it. then it reads 4 signals, in this order of weight: completion rate (did they finish it) rewatches (did they loop it) shares (did they send it to someone) velocity (how FAST all of that came in) clear the wave, it pushes ~5x bigger. clear that, 5x again. it keeps expanding until the numbers drop below the bar for that wave, then it stops. that's it. that's "going viral." it's just a video that kept clearing waves. nothing mystical. the part that breaks people's brains: this resets EVERY post. tiktok is not youtube shorts. on youtube the channel carries momentum. on tiktok the VIDEO carries itself. your last banger does not pre-load the next one. all followers do is get you shown FIRST in the test pool, which is a head start, not a guarantee. every video still earns its reach from scratch. now the myths that waste your time: "warm up a new account by scrolling for 2-3 days before posting." MYTH. tiktok has said this directly, there is no warm-up requirement. the only real device-level flag is ban evasion, and that only triggers if your device/IP is tied to a previously banned account. clean device = post day one, no penalty. "posting too much hurts the algorithm." also wrong. there is no volume throttle on your account. LOW volume is the real risk. every post is a fresh roll at the test pool. fewer posts = fewer rolls = fewer chances to hit a wave that clears. the accounts that grow fast post 1-3x a day, not once a week. "you need trending audio to go viral." no. trending audio helps discovery marginally but a strong hook on a silent slideshow will beat a weak video on the #1 sound every time. the sound doesn't save a bad first 2 seconds. what ACTUALLY moves it: the first 2 seconds are the whole game. that IS your completion rate. weak hook, the test pool bounces, the video dies in wave 1 and never recovers. front-load the payoff, cut the intro, no "hey guys." shares > likes, by a lot. a like is passive, it barely registers. a share tells tiktok "spread this" and it's the single signal that widens the wave hardest. build for the share: a take people want to send to someone, a "wait what" fact, a screenshot-able line. velocity beats total. 200 views in the first hour tells the algo more than 2,000 over a week. post when your specific audience is actually awake, check your analytics, don't guess "peak times." the format is disposable, the system isn't. 90% of your posts will die under 5,000 views, most under 300. that's not failure, that's the model working. you're not making one perfect video, you're feeding the test pool enough clean shots that a few clear all the waves. 10 accounts x 2 posts a day = 20 rolls daily. one hits 500k and pays for the other 19. and if monetization is the goal: creator rewards in 2026 is 10k followers + 100k views in the last 30 days, ROLLING (a viral month 6 months ago counts for nothing). only videos 60 SECONDS or longer earn a cent. and you have to be based in an eligible country to even apply: US, UK, germany, france, japan, korea, brazil, a few others. pakistan, india, most of MENA are not on the list. so "target US for higher RPM" isn't just a payout tip, geo is a hard gate on whether the program exists for you at all. stop trying to game it. feed it clean videos with a killer first 2 seconds and let the test pool do the sorting. the algo is dumber and more fair than people think.

how to CRACK the tiktok algorithm in 2026... the algorithm in 2026 is not judging your account. it's judging your first 500 views. everyone overthinks this. here's the actual method to crack it: every video starts from ZERO. doesn't matter if your last one hit 1M or your account has 200k followers. tiktok takes the new post, runs it through content moderation first, THEN drops it to a small cold test pool. that pool isn't random. it's people who already watch your exact niche, because tiktok's whole goal is keeping people on the app, so it shows your video to the people most likely to sit through it. then it reads 4 signals, in this order of weight: completion rate (did they finish it) rewatches (did they loop it) shares (did they send it to someone) velocity (how FAST all of that came in) clear the wave, it pushes ~5x bigger. clear that, 5x again. it keeps expanding until the numbers drop below the bar for that wave, then it stops. that's it. that's "going viral." it's just a video that kept clearing waves. nothing mystical. the part that breaks people's brains: this resets EVERY post. tiktok is not youtube shorts. on youtube the channel carries momentum. on tiktok the VIDEO carries itself. your last banger does not pre-load the next one. all followers do is get you shown FIRST in the test pool, which is a head start, not a guarantee. every video still earns its reach from scratch. now the myths that waste your time: "warm up a new account by scrolling for 2-3 days before posting." MYTH. tiktok has said this directly, there is no warm-up requirement. the only real device-level flag is ban evasion, and that only triggers if your device/IP is tied to a previously banned account. clean device = post day one, no penalty. "posting too much hurts the algorithm." also wrong. there is no volume throttle on your account. LOW volume is the real risk. every post is a fresh roll at the test pool. fewer posts = fewer rolls = fewer chances to hit a wave that clears. the accounts that grow fast post 1-3x a day, not once a week. "you need trending audio to go viral." no. trending audio helps discovery marginally but a strong hook on a silent slideshow will beat a weak video on the #1 sound every time. the sound doesn't save a bad first 2 seconds. what ACTUALLY moves it: the first 2 seconds are the whole game. that IS your completion rate. weak hook, the test pool bounces, the video dies in wave 1 and never recovers. front-load the payoff, cut the intro, no "hey guys." shares > likes, by a lot. a like is passive, it barely registers. a share tells tiktok "spread this" and it's the single signal that widens the wave hardest. build for the share: a take people want to send to someone, a "wait what" fact, a screenshot-able line. velocity beats total. 200 views in the first hour tells the algo more than 2,000 over a week. post when your specific audience is actually awake, check your analytics, don't guess "peak times." the format is disposable, the system isn't. 90% of your posts will die under 5,000 views, most under 300. that's not failure, that's the model working. you're not making one perfect video, you're feeding the test pool enough clean shots that a few clear all the waves. 10 accounts x 2 posts a day = 20 rolls daily. one hits 500k and pays for the other 19. and if monetization is the goal: creator rewards in 2026 is 10k followers + 100k views in the last 30 days, ROLLING (a viral month 6 months ago counts for nothing). only videos 60 SECONDS or longer earn a cent. and you have to be based in an eligible country to even apply: US, UK, germany, france, japan, korea, brazil, a few others. pakistan, india, most of MENA are not on the list. so "target US for higher RPM" isn't just a payout tip, geo is a hard gate on whether the program exists for you at all. stop trying to game it. feed it clean videos with a killer first 2 seconds and let the test pool do the sorting. the algo is dumber and more fair than people think.

Sulfur

46,775 views • 1 month ago

How do you get the biggest SKR airdrop allocation with the least effort? 📱🪂 Not everyone has time to grind Seeker activity every day. But everyone wants a solid SKR airdrop when Season 2 ends. Here are 5 ways to maximise your activity with minimal effort 👇 1️⃣ SKR Staking ✅ One of the strongest passive actions in Season 2 👉 Zero ongoing effort after setup 👉 Stake inside Seed Vault Wallet (Activity tab) 👉 Or at ✅ Compounds every 48h automatically 👉 Unstaking cooldown is only 48h - never locked in 👉 Strong loyalty signal 👉 Counts directly toward Onchain Activity ✅ Passive SKR accumulation + inflation rewards 👉 One setup, long-term impact for the next airdrop 2️⃣ Daily Use ✅ Already done if Seeker is your main phone ✅ Secondary device? One simple habit 👉 Open Seed Vault Wallet + 3–4 apps once a day 👉 Takes under 60 seconds 👉 Full “Daily Use” bar from this alone ✅ No grinding required 👉 Consistency over 7 days beats any single burst 👉 Fits into any routine 3️⃣ dApp Exploration ✅ 10 minutes a week is enough 👉 Open dApp Store → browse Featured or New 👉 Download 1–3 apps → open each → connect wallet ✅ No deep usage required 👉 The tracker rewards discovery 👉 Fills the “ New Things “ bar weekly 4️⃣ Onchain Activity ✅ 30-day rolling window 👉 Regularity beats volume ✅ Minimum effective dose: 1–3 txns per day 👉 Micro Jupiter swap: 0.01 SOL or less 👉 One swap, seconds of effort 👉 Do it from your pocket ✅ Bar climbs steadily without grinding 👉 Small consistent txns outperform sporadic bursts 👉 Cost is near zero 5️⃣ DePIN Background Apps ✅ Install once, runs 24/7 👉 No daily action needed 👉 Each generates on-chain activity automatically 👉 Also counts toward dApp Exploration ✅ Four apps to install from the dApp Store 👉 UpRock - share bandwidth, earn $UPT 👉 Roam - hotspot sharing, earn $ROAM 👉 WeatherXM - weather data, earn $WXM + 25% station discount 👉 Helium Mobile ☁️ - free Zero plan (3GB/100min/300 texts) + Cloud Points ✅ Passive activity across multiple bars simultaneously 👉 Extra token rewards on top of SKR 👉 Setup: ~10 min total, zero effort after 6️⃣ Overview ✅ The full routine is simple 👉 Daily: open wallet + optional micro swap 👉 Weekly: install 1–3 new dApps 👉 Forever: SKR staked + 4 DePIN apps running ✅ Avoid automation tools 👉 Diagnostics flag patterns - manual only ✅ Season 2 rewards consistency, not bursts 🔚

How do you get the biggest SKR airdrop allocation with the least effort? 📱🪂 Not everyone has time to grind Seeker activity every day. But everyone wants a solid SKR airdrop when Season 2 ends. Here are 5 ways to maximise your activity with minimal effort 👇 1️⃣ SKR Staking ✅ One of the strongest passive actions in Season 2 👉 Zero ongoing effort after setup 👉 Stake inside Seed Vault Wallet (Activity tab) 👉 Or at ✅ Compounds every 48h automatically 👉 Unstaking cooldown is only 48h - never locked in 👉 Strong loyalty signal 👉 Counts directly toward Onchain Activity ✅ Passive SKR accumulation + inflation rewards 👉 One setup, long-term impact for the next airdrop 2️⃣ Daily Use ✅ Already done if Seeker is your main phone ✅ Secondary device? One simple habit 👉 Open Seed Vault Wallet + 3–4 apps once a day 👉 Takes under 60 seconds 👉 Full “Daily Use” bar from this alone ✅ No grinding required 👉 Consistency over 7 days beats any single burst 👉 Fits into any routine 3️⃣ dApp Exploration ✅ 10 minutes a week is enough 👉 Open dApp Store → browse Featured or New 👉 Download 1–3 apps → open each → connect wallet ✅ No deep usage required 👉 The tracker rewards discovery 👉 Fills the “ New Things “ bar weekly 4️⃣ Onchain Activity ✅ 30-day rolling window 👉 Regularity beats volume ✅ Minimum effective dose: 1–3 txns per day 👉 Micro Jupiter swap: 0.01 SOL or less 👉 One swap, seconds of effort 👉 Do it from your pocket ✅ Bar climbs steadily without grinding 👉 Small consistent txns outperform sporadic bursts 👉 Cost is near zero 5️⃣ DePIN Background Apps ✅ Install once, runs 24/7 👉 No daily action needed 👉 Each generates on-chain activity automatically 👉 Also counts toward dApp Exploration ✅ Four apps to install from the dApp Store 👉 UpRock - share bandwidth, earn $UPT 👉 Roam - hotspot sharing, earn $ROAM 👉 WeatherXM - weather data, earn $WXM + 25% station discount 👉 Helium Mobile ☁️ - free Zero plan (3GB/100min/300 texts) + Cloud Points ✅ Passive activity across multiple bars simultaneously 👉 Extra token rewards on top of SKR 👉 Setup: ~10 min total, zero effort after 6️⃣ Overview ✅ The full routine is simple 👉 Daily: open wallet + optional micro swap 👉 Weekly: install 1–3 new dApps 👉 Forever: SKR staked + 4 DePIN apps running ✅ Avoid automation tools 👉 Diagnostics flag patterns - manual only ✅ Season 2 rewards consistency, not bursts 🔚

marino

15,861 views • 5 months ago