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15 concurrent terminal workloads on a local DGX Spark, all served by nvidia/nemotron-3-super 120B A12B NVFP4 through vLLM. 15/15 completed, 0 errors, 30.2s wall time: no fake dashboard, just local inference under concurrent load. fineprint: live local concurrency demo

Joey

3,175 subscribers

11,356 次观看 • 1 个月前 •via X (Twitter)

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NVIDIA just released a new open source transcription model, Nemotron Speech ASR, designed from the ground up for low-latency use cases like voice agents. Here's a voice agent built with this new model. 24ms transcription finalization and total voice-to-voice inference time under 500ms. This agent actually uses *three* NVIDIA open source models: - Nemotron Speech ASR - Nemotron 3 Nano 30GB in a 4-bit quant (released in December) - A preview checkpoint of the upcoming Magpie text-to-speech model These models are all truly open source: weights, training data, training code, and inference code. This is a big deal! Jensen said in the CES keynote yesterday that he expects open source models to catch up to proprietary models this year in a number of categories. NVIDIA is putting their weight behind making this happen. (As Alan Kay said, the best way to predict the future is to invent it.) The code for this agent is open source too, of course. You can deploy it to production with Modal and Pipecat AI cloud, or run locally on an NVIDIA DGX Spark or RTX 5090.

NVIDIA just released a new open source transcription model, Nemotron Speech ASR, designed from the ground up for low-latency use cases like voice agents. Here's a voice agent built with this new model. 24ms transcription finalization and total voice-to-voice inference time under 500ms. This agent actually uses three NVIDIA open source models: - Nemotron Speech ASR - Nemotron 3 Nano 30GB in a 4-bit quant (released in December) - A preview checkpoint of the upcoming Magpie text-to-speech model These models are all truly open source: weights, training data, training code, and inference code. This is a big deal! Jensen said in the CES keynote yesterday that he expects open source models to catch up to proprietary models this year in a number of categories. NVIDIA is putting their weight behind making this happen. (As Alan Kay said, the best way to predict the future is to invent it.) The code for this agent is open source too, of course. You can deploy it to production with Modal and Pipecat AI cloud, or run locally on an NVIDIA DGX Spark or RTX 5090.

kwindla

274,403 次观看 • 6 个月前

AI researcher breaks down why your $5,000 Mac Studio runs local AI slower than benchmarks promise: "Performance isn't about the hardware - it's about three software layers stacked on top of it." in 15 minutes he tests MLX, Ollama, llama.cpp, and the new vllm-mlx head to head no GPU needed, just the Mac you probably already own - why Ollama, the most popular tool, is actually one of the slower options on Mac - the real bottleneck nobody benchmarks: 'prefill' time before the first token even appears - the exact quantization setting (4-bit) that's the best speed-to-quality tradeoff - why unified memory makes Macs uniquely good for big models compared to Nvidia GPUs complete guide to choosing the right hardware for local AI is below 👇

AI researcher breaks down why your $5,000 Mac Studio runs local AI slower than benchmarks promise: "Performance isn't about the hardware - it's about three software layers stacked on top of it." in 15 minutes he tests MLX, Ollama, llama.cpp, and the new vllm-mlx head to head no GPU needed, just the Mac you probably already own - why Ollama, the most popular tool, is actually one of the slower options on Mac - the real bottleneck nobody benchmarks: 'prefill' time before the first token even appears - the exact quantization setting (4-bit) that's the best speed-to-quality tradeoff - why unified memory makes Macs uniquely good for big models compared to Nvidia GPUs complete guide to choosing the right hardware for local AI is below 👇

rewind

207,285 次观看 • 21 天前

just built a local AI waifu on my two macbooks by using the oss parallax inference library!!! not super smooth yet but parallax is still the easiest way to run llms locally on top of mlx - and no bigco can steal my waifu. still need folks to help her see/hear/draw since mlx has no legit wrapper yet. i’m running a campaign giving away mac minis + dgx spark. please please share your localhost ai model setup by using parallax (you don't need a gpu to try self-hosting you can just start with an extra macbook you borrowed from your friend like i did) or any fun app built on top of yourself host model to link below. come build sovereign intelligence with me 🫶

just built a local AI waifu on my two macbooks by using the oss parallax inference library!!! not super smooth yet but parallax is still the easiest way to run llms locally on top of mlx - and no bigco can steal my waifu. still need folks to help her see/hear/draw since mlx has no legit wrapper yet. i’m running a campaign giving away mac minis + dgx spark. please please share your localhost ai model setup by using parallax (you don't need a gpu to try self-hosting you can just start with an extra macbook you borrowed from your friend like i did) or any fun app built on top of yourself host model to link below. come build sovereign intelligence with me 🫶

Asuka Zheng🎀@ICML

178,998 次观看 • 7 个月前

She defeated three ninjas... with ramen noodles. Who needs swords when your ramen is the ultimate weapon? Made with Seedance 2.0 on LovartAI Prompt: PART 1 (0:00–0:15) Cut 1 (0:00–0:05) — Sneaking Through the Market 1920s Osaka market, Betamax film look. Yuki stealthily tiptoes through crowded stalls, sleeve over her mouth, eyes scanning. She spots a ramen shop, grins, and dashes through the noren curtain. Cut 2 (0:05–0:10) — Ramen at Last Inside the steamy ramen shop, Yuki excitedly orders a giant tonkotsu ramen with extra pork and egg. She sits down as the steaming bowl arrives, smiling and raising her chopsticks like a sword. Cut 3 (0:10–0:15) — Ninja Ambush Three burly ninja-like thugs notice her, pull on masks, and suddenly attack. Tables scatter as they leap through the air. Yuki flips clear while protecting her ramen, frozen mid-slurp with an annoyed glare. PART 2 (0:15–0:30) Cut 4 (0:15–0:20) — Noodle Defense A ninja throws a shuriken. Yuki instantly catches it by stretching a single ramen noodle between her chopsticks, then effortlessly dodges the ninjas' attacks with playful martial-arts agility. Cut 5 (0:20–0:25) — Men-no-Jutsu Yuki plants her feet and chants, "Men-no-jutsu!" Glowing ramen noodles rise from the bowl and whip through the shop, wrapping around all three ninjas and tying them together. Cut 6 (0:25–0:30) — Bowl Finish The tangled ninjas stumble and crash into a heap. Yuki leaps high into the air and smashes the empty ramen bowl onto their heads with a triple bonk. Freeze frame on her fierce pout as her gold-and-red hairpins sparkle under the lantern light. #Lovart, #LovartPartner

She defeated three ninjas... with ramen noodles. Who needs swords when your ramen is the ultimate weapon? Made with Seedance 2.0 on LovartAI Prompt: PART 1 (0:00–0:15) Cut 1 (0:00–0:05) — Sneaking Through the Market 1920s Osaka market, Betamax film look. Yuki stealthily tiptoes through crowded stalls, sleeve over her mouth, eyes scanning. She spots a ramen shop, grins, and dashes through the noren curtain. Cut 2 (0:05–0:10) — Ramen at Last Inside the steamy ramen shop, Yuki excitedly orders a giant tonkotsu ramen with extra pork and egg. She sits down as the steaming bowl arrives, smiling and raising her chopsticks like a sword. Cut 3 (0:10–0:15) — Ninja Ambush Three burly ninja-like thugs notice her, pull on masks, and suddenly attack. Tables scatter as they leap through the air. Yuki flips clear while protecting her ramen, frozen mid-slurp with an annoyed glare. PART 2 (0:15–0:30) Cut 4 (0:15–0:20) — Noodle Defense A ninja throws a shuriken. Yuki instantly catches it by stretching a single ramen noodle between her chopsticks, then effortlessly dodges the ninjas' attacks with playful martial-arts agility. Cut 5 (0:20–0:25) — Men-no-Jutsu Yuki plants her feet and chants, "Men-no-jutsu!" Glowing ramen noodles rise from the bowl and whip through the shop, wrapping around all three ninjas and tying them together. Cut 6 (0:25–0:30) — Bowl Finish The tangled ninjas stumble and crash into a heap. Yuki leaps high into the air and smashes the empty ramen bowl onto their heads with a triple bonk. Freeze frame on her fierce pout as her gold-and-red hairpins sparkle under the lantern light. #Lovart, #LovartPartner

Shami

84,798 次观看 • 12 天前

At least 9 killed and 30 hospitalized after a deadly fire tore through Gabriel House, an assisted living facility in Fall River, Massachusetts, on the evening of Sunday. Subscribe to OAN LIVE for more updates First responders rushed in as smoke and flames overwhelmed the building, rescuing immobile residents in wheelchairs and on oxygen. Governor Maura Healey visited the site on Monday morning, July 15, alongside local officials and first responders. The blaze is under investigation by the Fall River Fire Department, the Massachusetts State Fire Marshal, and federal authorities. Gabriel House, which opened in 1999, is located on High Street and houses up to 100 seniors.

At least 9 killed and 30 hospitalized after a deadly fire tore through Gabriel House, an assisted living facility in Fall River, Massachusetts, on the evening of Sunday. Subscribe to OAN LIVE for more updates First responders rushed in as smoke and flames overwhelmed the building, rescuing immobile residents in wheelchairs and on oxygen. Governor Maura Healey visited the site on Monday morning, July 15, alongside local officials and first responders. The blaze is under investigation by the Fall River Fire Department, the Massachusetts State Fire Marshal, and federal authorities. Gabriel House, which opened in 1999, is located on High Street and houses up to 100 seniors.

One America News

20,880 次观看 • 1 年前

In South Africa, a resilient woman named Blessing, a mother and bakery shop owner, juggles entrepreneurship and family every day without ever letting go of her dream. 📦 In the past, she handled sourcing, customs, and shipping all by herself—exhausting and overwhelming! 🚀 Now, Buffalo Logistics takes care of it all, delivering supplies from China to South Africa in just 36 hours, so she can focus on her customers—and enjoy more time with family. 🌐 Buffalo is the fastest online trade logistics provider between China and Africa. Powered by Huawei Cloud technology, Buffalo is building a smarter, faster supply chain: ✅ Delivery time: Reduced from 20 days to 36 hours ✅ Package delivery success rate: Increased from 90% to 99% ✅ Local service response time: Cut from 15 hours to 15 minutes 📈 Delivery efficiency now reaches 85%, 10% higher than the industry average 🤖 Automation has reduced error rates to 0.01% 🛡️ 24/7 cloud service ensures platform stability and uninterrupted operations 🤝 Huawei Cloud & Buffalo Logistics are reshaping trust through technology and delivering hope with speed across Africa.

In South Africa, a resilient woman named Blessing, a mother and bakery shop owner, juggles entrepreneurship and family every day without ever letting go of her dream. 📦 In the past, she handled sourcing, customs, and shipping all by herself—exhausting and overwhelming! 🚀 Now, Buffalo Logistics takes care of it all, delivering supplies from China to South Africa in just 36 hours, so she can focus on her customers—and enjoy more time with family. 🌐 Buffalo is the fastest online trade logistics provider between China and Africa. Powered by Huawei Cloud technology, Buffalo is building a smarter, faster supply chain: ✅ Delivery time: Reduced from 20 days to 36 hours ✅ Package delivery success rate: Increased from 90% to 99% ✅ Local service response time: Cut from 15 hours to 15 minutes 📈 Delivery efficiency now reaches 85%, 10% higher than the industry average 🤖 Automation has reduced error rates to 0.01% 🛡️ 24/7 cloud service ensures platform stability and uninterrupted operations 🤝 Huawei Cloud & Buffalo Logistics are reshaping trust through technology and delivering hope with speed across Africa.

Huawei Sub-Saharan Africa

665,686 次观看 • 1 年前

In South Africa, a resilient woman named Blessing, a mother and bakery shop owner, juggles entrepreneurship and family every day without ever letting go of her dream. 📦 In the past, she handled sourcing, customs, and shipping all by herself—exhausting and overwhelming! 🚀 Now, Buffalo Logistics takes care of it all, delivering supplies from China to South Africa in just 36 hours, so she can focus on her customers—and enjoy more time with family. 🌐 Buffalo is the fastest online trade logistics provider between China and Africa. Powered by Huawei Cloud technology, Buffalo is building a smarter, faster supply chain: ✅ Delivery time: Reduced from 20 days to 36 hours ✅ Package delivery success rate: Increased from 90% to 99% ✅ Local service response time: Cut from 15 hours to 15 minutes 📈 Delivery efficiency now reaches 85%, 10% higher than the industry average 🤖 Automation has reduced error rates to 0.01% 🛡️ 24/7 cloud service ensures platform stability and uninterrupted operations 🤝 Huawei Cloud & Buffalo Logistics are reshaping trust through technology and delivering hope with speed across Africa.

In South Africa, a resilient woman named Blessing, a mother and bakery shop owner, juggles entrepreneurship and family every day without ever letting go of her dream. 📦 In the past, she handled sourcing, customs, and shipping all by herself—exhausting and overwhelming! 🚀 Now, Buffalo Logistics takes care of it all, delivering supplies from China to South Africa in just 36 hours, so she can focus on her customers—and enjoy more time with family. 🌐 Buffalo is the fastest online trade logistics provider between China and Africa. Powered by Huawei Cloud technology, Buffalo is building a smarter, faster supply chain: ✅ Delivery time: Reduced from 20 days to 36 hours ✅ Package delivery success rate: Increased from 90% to 99% ✅ Local service response time: Cut from 15 hours to 15 minutes 📈 Delivery efficiency now reaches 85%, 10% higher than the industry average 🤖 Automation has reduced error rates to 0.01% 🛡️ 24/7 cloud service ensures platform stability and uninterrupted operations 🤝 Huawei Cloud & Buffalo Logistics are reshaping trust through technology and delivering hope with speed across Africa.

Huawei

673,743 次观看 • 1 年前

WARP SPEED: EPISODE 5 - starring Varunram Ganesh, Founder of Lapis Varunram Ganesh The next generation of 20 year olds are going to default to LLMs for search. Varun is building Lapis into the most accurate AI search analytics platform. They are part of Y Combinator F25 - 1 day away from demo day with a countdown clock on his desk. The insight: people are already defaulting to ChatGPT over Google. As time goes on, more leveraged decisions get made through LLMs, not search engines. "So many people are searching on Google, they're going to be searching on ChatGPT. Why aren't people knowing where they are on ChatGPT?" Lapis tells you exactly what a human will search for your website to show up in AI. And unlike Google, it's not about ranking positions - LLMs reason differently. On Warp: "I don't even think about payroll. Which is just to say Warp is such a good product that I just don't think about it. No spam emails. No upsells. It's just so smooth." In this conversation: (0:00) - Shift from Google-style search to LLMs: “More leveraged decisions are now made through the LLM.” (0:15) - What Lapis does: the most accurate AI search analytics platform. (1:15) - YC intensity: six weeks from Demo Day, rapid feedback loops, constant customer conversations. (2:00) - “The hardest part of running a startup is the most boring stuff.” (2:41) - How AI search differs from Google search. (3:23) - Building a company through trust. (3:51) - “Every founder said, ‘Check out Gabriella Warp - a genuinely friendly solution. (4:02) - Big providers needed six weeks just to get set up. (4:20) - Texted Ayush and got set up in 15 minutes. (4:25) - Warp is so smooth you don’t think about payroll — no spam emails, no upsells, just seamless.

WARP SPEED: EPISODE 5 - starring Varunram Ganesh, Founder of Lapis Varunram Ganesh The next generation of 20 year olds are going to default to LLMs for search. Varun is building Lapis into the most accurate AI search analytics platform. They are part of Y Combinator F25 - 1 day away from demo day with a countdown clock on his desk. The insight: people are already defaulting to ChatGPT over Google. As time goes on, more leveraged decisions get made through LLMs, not search engines. "So many people are searching on Google, they're going to be searching on ChatGPT. Why aren't people knowing where they are on ChatGPT?" Lapis tells you exactly what a human will search for your website to show up in AI. And unlike Google, it's not about ranking positions - LLMs reason differently. On Warp: "I don't even think about payroll. Which is just to say Warp is such a good product that I just don't think about it. No spam emails. No upsells. It's just so smooth." In this conversation: (0:00) - Shift from Google-style search to LLMs: “More leveraged decisions are now made through the LLM.” (0:15) - What Lapis does: the most accurate AI search analytics platform. (1:15) - YC intensity: six weeks from Demo Day, rapid feedback loops, constant customer conversations. (2:00) - “The hardest part of running a startup is the most boring stuff.” (2:41) - How AI search differs from Google search. (3:23) - Building a company through trust. (3:51) - “Every founder said, ‘Check out Gabriella Warp - a genuinely friendly solution. (4:02) - Big providers needed six weeks just to get set up. (4:20) - Texted Ayush and got set up in 15 minutes. (4:25) - Warp is so smooth you don’t think about payroll — no spam emails, no upsells, just seamless.

Ayush S

56,114 次观看 • 7 个月前

Stablecoin on-ramps are broken in four fundamental ways. New report by Bluechip The Geography Tax > US/EU on-ramping: 0-0.3% > Central Africa: 15-20% Same dollar. Same stablecoin. 50x price difference. Why: Licensing is fragmented across jurisdictions. Local liquidity is thin. Banks treat these markets as afterthoughts. Operators must maintain exotic currency inventory in uncertain regulatory environments. No direct issuer relationships exist, so users rely on informal networks and local telco agents who set their own spreads. The Broken Funnel: Global card on-ramp completion: 21% Africa: 6% Asia: 7% Why: Failed KYC from document verification issues. Card declines from banks blocking crypto purchases. Session timeouts from complex multi-step flows. Poor localization. Lack of local payment method support. The journey was designed for crypto-native users, not first-time buyers. Cards Are Structurally Incompatible Emerging market card on-ramping: 7-10% US/EU: 3-5% Bank transfers: 0-0.3% Why: Card networks charge 1-3% MDR on every transaction. In e-commerce, merchants hide this in product margins. Stablecoins are pegged 1:1. There's no margin. You can't inflate the price of a dollar. Ramps must also price in chargeback risk and fraud losses. The cost has nowhere to go except to the user. This gap will not close. Remittance Corridors Are Broken Tanzania to Kenya traditional: 59.7% Stablecoin: 5-6% South Africa to China traditional: 22.8% Stablecoin: 1.2% Why: Correspondent banking adds layers of intermediaries. Each one takes a cut. Limited competition in smaller corridors. Weak FX liquidity. Cash-heavy payout networks. Settlement takes 1-5 days because every leg requires reconciliation. Stablecoins bypass all of this. Settlement in under an hour. But without accessible on-ramps, the technology sits behind a wall most users can't climb.

Stablecoin on-ramps are broken in four fundamental ways. New report by Bluechip The Geography Tax > US/EU on-ramping: 0-0.3% > Central Africa: 15-20% Same dollar. Same stablecoin. 50x price difference. Why: Licensing is fragmented across jurisdictions. Local liquidity is thin. Banks treat these markets as afterthoughts. Operators must maintain exotic currency inventory in uncertain regulatory environments. No direct issuer relationships exist, so users rely on informal networks and local telco agents who set their own spreads. The Broken Funnel: Global card on-ramp completion: 21% Africa: 6% Asia: 7% Why: Failed KYC from document verification issues. Card declines from banks blocking crypto purchases. Session timeouts from complex multi-step flows. Poor localization. Lack of local payment method support. The journey was designed for crypto-native users, not first-time buyers. Cards Are Structurally Incompatible Emerging market card on-ramping: 7-10% US/EU: 3-5% Bank transfers: 0-0.3% Why: Card networks charge 1-3% MDR on every transaction. In e-commerce, merchants hide this in product margins. Stablecoins are pegged 1:1. There's no margin. You can't inflate the price of a dollar. Ramps must also price in chargeback risk and fraud losses. The cost has nowhere to go except to the user. This gap will not close. Remittance Corridors Are Broken Tanzania to Kenya traditional: 59.7% Stablecoin: 5-6% South Africa to China traditional: 22.8% Stablecoin: 1.2% Why: Correspondent banking adds layers of intermediaries. Each one takes a cut. Limited competition in smaller corridors. Weak FX liquidity. Cash-heavy payout networks. Settlement takes 1-5 days because every leg requires reconciliation. Stablecoins bypass all of this. Settlement in under an hour. But without accessible on-ramps, the technology sits behind a wall most users can't climb.

James | Snapcrackle

12,145 次观看 • 7 个月前

NVIDIA MADE A $249 DESK CHIP THAT TURNS LOCAL LLMS INTO A TINY PRIVATE BACKEND jetson orin nano super is basically a pocket-size ai board: 67 TOPS, 1024-core ampere gpu, 8gb memory, 7-25w power draw. not a gaming pc, not a rented cloud box, just a small nvidia dev kit running llama, mistral, qwen and deepseek from your own table that changes the cost structure. the same automations people casually run through openai for $100-200/month can move the boring work local: summaries, drafts, code checks, document q&a, scraping cleanup, private agents. the board is $249 once, then around $2/month in electricity the setup is almost stupid. install ollama, pull a 7b model, aim your app at localhost. your workflow still talks to an openai-style api, but now the request never leaves the room and the bill does not grow every time a script loops no, it is not replacing claude for the hardest 20%. but it absolutely attacks the expensive background layer people forgot they were paying for every day cloud ai made people rent intelligence by the token. nvidia is quietly showing what happens when that meter sits under your desk instead.

NVIDIA MADE A $249 DESK CHIP THAT TURNS LOCAL LLMS INTO A TINY PRIVATE BACKEND jetson orin nano super is basically a pocket-size ai board: 67 TOPS, 1024-core ampere gpu, 8gb memory, 7-25w power draw. not a gaming pc, not a rented cloud box, just a small nvidia dev kit running llama, mistral, qwen and deepseek from your own table that changes the cost structure. the same automations people casually run through openai for $100-200/month can move the boring work local: summaries, drafts, code checks, document q&a, scraping cleanup, private agents. the board is $249 once, then around $2/month in electricity the setup is almost stupid. install ollama, pull a 7b model, aim your app at localhost. your workflow still talks to an openai-style api, but now the request never leaves the room and the bill does not grow every time a script loops no, it is not replacing claude for the hardest 20%. but it absolutely attacks the expensive background layer people forgot they were paying for every day cloud ai made people rent intelligence by the token. nvidia is quietly showing what happens when that meter sits under your desk instead.

Gipp 🦅

39,609 次观看 • 1 个月前

THIS DEVELOPER CONNECTED 8 NVIDIA DGX SPARKS INTO ONE CLUSTER - AND RAN AN 800GB MODEL THAT MADE HIM 10X MORE PRODUCTIVE 21:47 he says it straight - "this is a terabyte of VRAM - we ran Quen 3.5, 800GB on disk, a model that doesn't even fit on a single Mac Studio - 24 tokens per second - I'd say that's a win" 8 Sparks connected through a $1,300 switch via RDMA over Ethernet - each node adding 128GB of memory into one unified pool of 1TB started with one Spark at 3 tokens per second - every added node doubled the speed - and eight together deliver 24 tokens on a model that physically cannot run anywhere else Kimi K2 at 600GB loaded in 15 minutes, 115GB per node, 13 tokens per second - a model that simply cannot run on anything smaller Claude helped configure the entire cluster - SSH mesh across all 8 machines, network config, jumbo frames, QSFP port speeds - all from one terminal most people rent cloud compute for models this size at $2,000+/month - he built the cluster once and now every token costs 20x less

THIS DEVELOPER CONNECTED 8 NVIDIA DGX SPARKS INTO ONE CLUSTER - AND RAN AN 800GB MODEL THAT MADE HIM 10X MORE PRODUCTIVE 21:47 he says it straight - "this is a terabyte of VRAM - we ran Quen 3.5, 800GB on disk, a model that doesn't even fit on a single Mac Studio - 24 tokens per second - I'd say that's a win" 8 Sparks connected through a $1,300 switch via RDMA over Ethernet - each node adding 128GB of memory into one unified pool of 1TB started with one Spark at 3 tokens per second - every added node doubled the speed - and eight together deliver 24 tokens on a model that physically cannot run anywhere else Kimi K2 at 600GB loaded in 15 minutes, 115GB per node, 13 tokens per second - a model that simply cannot run on anything smaller Claude helped configure the entire cluster - SSH mesh across all 8 machines, network config, jumbo frames, QSFP port speeds - all from one terminal most people rent cloud compute for models this size at $2,000+/month - he built the cluster once and now every token costs 20x less

Noisy

184,815 次观看 • 27 天前

I built a powerful real-time edge terminal specifically for Polymarket - multi-timeframe dashboard covering all coins! (100% FREE & fully open-source) In one sentence: This Python bot gives you live alpha on Polymarket’s Up/Down crypto binaries by fusing real-time Binance order flow, current Polymarket probabilities, and multi-TF technical analysis. Spot mispricings fast - where the market odds haven’t yet caught up to momentum, aggressive delta, or strong signals. Perfect for lightning-fast 15-minute scalps (markets resolve every 15 min with constant repricing) or cleaner swings on 1h / 4h / daily horizons. Pure decision-support tool - no auto-trading, just sharp, actionable insight delivered straight to your terminal. > Coins covered: BTC, ETH, SOL, XRP > Timeframes: 15m, 1h, 4h, daily - All 16 market combinations are live and heavily traded on Polymarket (especially the 15m contracts - ultra-fast flips) Features at a glance: > Streams live trades + full order book from Binance > Pulls real-time Up/Down prices & depth via Polymarket WebSocket > Computes 11+ indicators on the fly > Rolls everything up into a clear BULLISH / BEARISH / NEUTRAL bias score + probability estimate per timeframe > Displays a clean, colorful, auto-refreshing terminal dashboard Order-book signals: > OBI (imbalance) > visible buy/sell walls > liquidity depth (0.1% / 0.5% / 1.0%) > net flow & volume > CVD (across 1m/3m/5m windows) > 1m delta > Volume Profile + POC Technical indicators: > RSI (14) > MACD (12/26/9) + signal line + histogram > VWAP > EMA 5 / EMA 20 cross >Heikin-Ashi candle streak count Important: this is NOT an auto-trading bot. It highlights where Polymarket odds are lagging real Binance order-flow and multi-timeframe TA - giving you an edge on 15m scalping, 1–4h momentum trades, and daily directional confirmation. Built with: Python (asyncio + Rich/Textual for a slick CLI look) One-line start: python Refreshes every few seconds Completely free & open-source → GitHub repo Want access? Like + RT + drop a reply or quote below - I’ll DM you the GitHub link Don’t miss the edge - especially on those 15-minute markets that flip every quarter hour. Seeing all timeframes at once is real alpha. Here’s to green candles and fat PnL!

st1ne

175,339 次观看 • 5 个月前

Grounding can significantly reduce, if not eliminate, jet lag in 15–30 minutes. The earth's electric field varies by location, time of day, season, and lunar position. The body is designed to read these variations. They function as a zeitgeber — a biological clock-setter — processed in the brain's master clock: the suprachiasmatic nucleus of the hypothalamus. Clint Ober — former cable television executive who pioneered the global "earthing" or "grounding" movement — discovered this accidentally during a cortisol study. He measured salivary cortisol every 4 hours for 24 hours in 12 subjects before and after one month of sleeping grounded. Flight attendants in the study commuting between San Diego and New York arrived with cortisol profiles 3 hours off. After 15 minutes barefoot on the ground — cortisol profile reset to local time. Jet lag gone. Dr. James Oschman — biophysicist and cellular biologist — saw this firsthand. A colleague arrived from the West Coast with a bad case of jet lag. He told her to take off her shoes and stand on the grass for 15 minutes. She came back completely transformed. Jet lag gone. Ober's explanation: "The rhythms of the earth reset your circadian profile as soon as you touch the earth." Dr. Gaétan Chevalier — biophysicist and lead researcher at the Earthing Institute, 20+ peer-reviewed studies on grounding — confirmed independently. Multiple reports from people grounding on arrival after long-haul flights. No jet lag. Consistent across locations and time zones. The body picks up the frequency signature of local time and resets its internal clock. The earth's negative charge is stronger during daylight hours when the sun is shining. Weaker at night. Different by location. Different by season. Electrons carry location-specific vibrational frequency. The body is designed to read this. Your circadian system didn't evolve reading light alone. It evolved reading the earth too.

no.mind

21,105 次观看 • 1 个月前

A single system glitch turned Midtown into complete chaos. As a rogue construction mech tears through the city, Web Ranger races against time to save civilians, not by overpowering it, but by outthinking it with precision web tactics and an epic FLOVA containment network. Every swing, every web anchor, and every cinematic moment was made with FlovaAI while using Script-Driven Skill. #Flovaai #Flovacpp Prompt: COLLAPSE AT MIDTOWN" (45s) Model: Seedance 2.0 Style: Realistic cinematic superhero action, dynamic camera, no music, sound effects only. Character Lock: Web Ranger remains identical in every shot. He cannot fly—all movement is through visible web swings and anchor points. White webs with glowing teal energy. The Colossus is a 15-foot malfunctioning construction mech. PART 1 (0:00–0:15) — Malfunction & Rescue Cut 1 (0:00–0:05) Wide shot of a Times Square-style construction zone. The Colossus glitches and accidentally knocks scaffolding toward a little girl. Web Ranger catches the falling beam with glowing web strands and appears perched on a traffic light. Cut 2 (0:05–0:10) Web Ranger swings between lamp posts and cranes, redirecting the mech's wild arm away from a crowded bus and into empty scaffolding. He continues dodging debris using rapid web pulls. Cut 3 (0:10–0:15) The mech stumbles toward a subway entrance. Web Ranger yanks a construction barrier into its path, diverting it away from fleeing civilians before landing on a taxi roof, ready for the next move. PART 2 (0:15–0:30) — Containment Cut 4 (0:15–0:20) The Colossus unleashes chaotic swings and heavy steps. Web Ranger evades every near miss, using billboard and crane anchors to swing through collapsing debris. Cut 5 (0:20–0:25) Web Ranger throws web-linked shuriken that ricochet across lamp posts, scaffolding, cranes, and billboards, creating glowing anchor points throughout the intersection. Cut 6 (0:25–0:30) The web network rapidly tightens into a giant FLOVA-shaped structure, stabilizing the malfunctioning mech. As several strands begin to fray, Web Ranger reinforces them from a high billboard anchor. PART 3 (0:30–0:45) — Shutdown Cut 7 (0:30–0:35) Standing atop the FLOVA web structure, Web Ranger sends teal energy through the web network, shutting down the Colossus as its amber lights fade. Cut 8 (0:35–0:40) The rescued girl and civilians emerge safely from cover, watching the stabilized mech with relief while emergency vehicles approach. Cut 9 (0:40–0:45) Epic crane pull-back reveals the entire intersection: the dormant Colossus suspended in the giant FLOVA web formation, Web Ranger perched above in a heroic final pose. Fade out.

A single system glitch turned Midtown into complete chaos. As a rogue construction mech tears through the city, Web Ranger races against time to save civilians, not by overpowering it, but by outthinking it with precision web tactics and an epic FLOVA containment network. Every swing, every web anchor, and every cinematic moment was made with FlovaAI while using Script-Driven Skill. #Flovaai #Flovacpp Prompt: COLLAPSE AT MIDTOWN" (45s) Model: Seedance 2.0 Style: Realistic cinematic superhero action, dynamic camera, no music, sound effects only. Character Lock: Web Ranger remains identical in every shot. He cannot fly—all movement is through visible web swings and anchor points. White webs with glowing teal energy. The Colossus is a 15-foot malfunctioning construction mech. PART 1 (0:00–0:15) — Malfunction & Rescue Cut 1 (0:00–0:05) Wide shot of a Times Square-style construction zone. The Colossus glitches and accidentally knocks scaffolding toward a little girl. Web Ranger catches the falling beam with glowing web strands and appears perched on a traffic light. Cut 2 (0:05–0:10) Web Ranger swings between lamp posts and cranes, redirecting the mech's wild arm away from a crowded bus and into empty scaffolding. He continues dodging debris using rapid web pulls. Cut 3 (0:10–0:15) The mech stumbles toward a subway entrance. Web Ranger yanks a construction barrier into its path, diverting it away from fleeing civilians before landing on a taxi roof, ready for the next move. PART 2 (0:15–0:30) — Containment Cut 4 (0:15–0:20) The Colossus unleashes chaotic swings and heavy steps. Web Ranger evades every near miss, using billboard and crane anchors to swing through collapsing debris. Cut 5 (0:20–0:25) Web Ranger throws web-linked shuriken that ricochet across lamp posts, scaffolding, cranes, and billboards, creating glowing anchor points throughout the intersection. Cut 6 (0:25–0:30) The web network rapidly tightens into a giant FLOVA-shaped structure, stabilizing the malfunctioning mech. As several strands begin to fray, Web Ranger reinforces them from a high billboard anchor. PART 3 (0:30–0:45) — Shutdown Cut 7 (0:30–0:35) Standing atop the FLOVA web structure, Web Ranger sends teal energy through the web network, shutting down the Colossus as its amber lights fade. Cut 8 (0:35–0:40) The rescued girl and civilians emerge safely from cover, watching the stabilized mech with relief while emergency vehicles approach. Cut 9 (0:40–0:45) Epic crane pull-back reveals the entire intersection: the dormant Colossus suspended in the giant FLOVA web formation, Web Ranger perched above in a heroic final pose. Fade out.

Shami

32,826 次观看 • 13 天前

A SIGNED Load (Remastered) Deluxe Box Set is up for grabs, thanks to our friends at Fandiem! One lucky donor will take home our latest remaster, signed by James Hetfield, Lars Ulrich, Kirk Hammett, and Robert Trujillo! ✍️ The Signed Box Includes: 🎧 Load (Remastered) on 180-gram double LP and CD, “Mama Said” picture disc, three live LPs, 15 CDs, and MP3 download card of all audio 📽️ Four DVDs featuring unreleased content (live shows, rough mixes, demos, etc.) 🎫 Two tour laminates 🖼️ 11" x 17" Lollapalooza poster and 8" x 10" Rolling Stone Magazine cover print 💀 Pushead patch 🎸 Five-pack of guitar/bass picks 👀 Pack of 14 Rorschach Test cards 📂 Lyric folder and sheets 📖 128-page hardcover book with never-before-seen photos + stories from those who were there Donate to win at Your entry donation will help #AWMH create sustainable communities by supporting workforce education, the fight against hunger, and other critical local services. #MetallicaGivesBack #WinWithFandiem #Metallica

A SIGNED Load (Remastered) Deluxe Box Set is up for grabs, thanks to our friends at Fandiem! One lucky donor will take home our latest remaster, signed by James Hetfield, Lars Ulrich, Kirk Hammett, and Robert Trujillo! ✍️ The Signed Box Includes: 🎧 Load (Remastered) on 180-gram double LP and CD, “Mama Said” picture disc, three live LPs, 15 CDs, and MP3 download card of all audio 📽️ Four DVDs featuring unreleased content (live shows, rough mixes, demos, etc.) 🎫 Two tour laminates 🖼️ 11" x 17" Lollapalooza poster and 8" x 10" Rolling Stone Magazine cover print 💀 Pushead patch 🎸 Five-pack of guitar/bass picks 👀 Pack of 14 Rorschach Test cards 📂 Lyric folder and sheets 📖 128-page hardcover book with never-before-seen photos + stories from those who were there Donate to win at Your entry donation will help #AWMH create sustainable communities by supporting workforce education, the fight against hunger, and other critical local services. #MetallicaGivesBack #WinWithFandiem #Metallica

Metallica

53,342 次观看 • 10 个月前

In May 2023, a live streaming world record was set with 32 million concurrent viewers watching the finale of the IPL cricket game. How was this system built? Ashutosh Agrawal was the architect behind this system, and he walks us through how live streaming at scale works, how the system was built and tested, and other interesting learnings. Watch or listen: • YouTube: • Spotify: • Apple: --- Brought to you by our wonderful sponsors: • WorkOS — The modern identity platform for B2B SaaS • CodeRabbit — Cut code review time and bugs in half (use the code PRAGMATIC to get one month free) • Augment Code — AI coding assistant that pro engineering teams love --- Three of my biggest takeaways: 1. The architecture behind live streaming systems is surprisingly logical. In the episode, Ashutosh explains how the live streaming system works, starting from the physical cameras on-site, through the production control room (PCR), streams being sliced-and-diced, and the HLS protocol (HTTP Live Streaming) used. 2. There are a LOT of tradeoffs you can play with when live streaming! The tradeoffs between server load, latency, server resources vs client caching are hard decisions to make. Want to reduce the server load? Serve longer chunks to clients, resulting in fewer requests per minute, per client… at the expense of clients potentially lagging more behind. This is just one of many possible decisions to make. 3. “Game day” is such a neat load testing concept. The team at Jio would simulate “game day” load months before the event. They did tell teams when the load test will start: but did not share anything else! Preparing for a “Game day” test is a lot of work, but it can pay off to find parts of the system that shutter under extreme load. See more takeaways and a summary here: Thanks Ashutosh for all these behind-the-scene details!

In May 2023, a live streaming world record was set with 32 million concurrent viewers watching the finale of the IPL cricket game. How was this system built? Ashutosh Agrawal was the architect behind this system, and he walks us through how live streaming at scale works, how the system was built and tested, and other interesting learnings. Watch or listen: • YouTube: • Spotify: • Apple: --- Brought to you by our wonderful sponsors: • WorkOS — The modern identity platform for B2B SaaS • CodeRabbit — Cut code review time and bugs in half (use the code PRAGMATIC to get one month free) • Augment Code — AI coding assistant that pro engineering teams love --- Three of my biggest takeaways: 1. The architecture behind live streaming systems is surprisingly logical. In the episode, Ashutosh explains how the live streaming system works, starting from the physical cameras on-site, through the production control room (PCR), streams being sliced-and-diced, and the HLS protocol (HTTP Live Streaming) used. 2. There are a LOT of tradeoffs you can play with when live streaming! The tradeoffs between server load, latency, server resources vs client caching are hard decisions to make. Want to reduce the server load? Serve longer chunks to clients, resulting in fewer requests per minute, per client… at the expense of clients potentially lagging more behind. This is just one of many possible decisions to make. 3. “Game day” is such a neat load testing concept. The team at Jio would simulate “game day” load months before the event. They did tell teams when the load test will start: but did not share anything else! Preparing for a “Game day” test is a lot of work, but it can pay off to find parts of the system that shutter under extreme load. See more takeaways and a summary here: Thanks Ashutosh for all these behind-the-scene details!

Gergely Orosz

50,597 次观看 • 1 年前

HERMES AGENT + STRIPE PAYMENTS + NVIDIA NEMOTRON. YOUR AGENT CAN NOW RUN A BUSINESS. ACCEPT PAYMENTS. PAY FOR SERVICES. PROVISION ITS OWN INFRASTRUCTURE. ALL INSIDE A SECURITY SANDBOX. two years ago the question was: can an AI agent run a business autonomously? the answer shipped this week. Hermes already handles workflows: cron jobs, sub-agents, kanban orchestration, multi-profile pipelines, scheduled research. what it couldn't do: spend money and prove it's safe. Stripe solved the first problem. Nvidia solved the second. WHAT AUTONOMOUS BUSINESS OPERATIONS LOOK LIKE: → customer sends a request via email → agent reads, scopes the project, estimates cost → provisions the infrastructure it needs (pays via Stripe, you approve on your phone) → builds and deploys the deliverable → sends the result to the customer → creates a payment link via Stripe (Stripe API integration, separate from Link CLI) → tops off its own API credits when balance drops → reports daily costs and progress to your Telegram → all within security policies you set once you set the rules. the agent runs the operation. you review revenue reports. not tasks. this is already happening. Dark Factory: autonomous software factory. send an idea before bed. wake up to a deployed URL. live entry in the Hermes Accelerated Business Hackathon. HOW STRIPE MAKES THE AGENT FINANCIALLY AUTONOMOUS: Stripe Link CLI gives your agent a scoped wallet. not your credit card. one-time-use virtual cards. → agent finds a product or service it needs → creates a spend request via Stripe Link → you get a notification on your phone (Link app) → you review: merchant, amount, context → one tap to approve or reject → agent receives a one-time virtual card → completes the purchase → card expires after single use your real card details never enter agent context. never printed in chat. never exposed to the merchant. Hermes cannot self-approve. you confirm every spend. install: hermes install skills/optional/payments/stripe-link-cli link-cli auth login what the agent can pay for: → API credits (Nous Portal, OpenRouter) → SaaS subscriptions it needs for operations → domain names, hosting, cloud credits → products from any online store currently US only. HOW NVIDIA MAKES THE AGENT SAFE TO TRUST: an agent with spending authority and no security boundaries is a liability. NemoClaw solves this. three layers: 1. OPENSHELL (sandbox) kernel-level isolation. controls network, filesystem, syscalls. default deny. you whitelist what's allowed. agent tries to reach a blocked domain = rejected. agent has no idea it's sandboxed. 2. NEMOTRON (private models) open-weight models on your own hardware. Nemotron 3 Super 120B MoE (48GB+ VRAM). Nemotron 3 Nano 4B (8GB VRAM, edge). fully private. no data leaves your machine. without GPU: inference routes to cloud via Privacy Router. 3. PRIVACY ROUTER (automatic split) decides per query: local or cloud. private data → local Nemotron. general web research → Claude, GPT, Gemini. automatic. per query. no manual routing. install: export NEMOCLAW_AGENT=hermes curl -fsSL https:// www.nvidia. com/nemoclaw.sh | bash requires Docker. NemoClaw is alpha software. APIs may change. test in non-production first. THE FULL PICTURE: before this stack: → agent could work but couldn't pay for anything → agent could pay but couldn't be trusted → agent could be trusted but couldn't operate 24/7 now: → Hermes runs the business logic (workflows, memory, skills, cron, sub-agents) → Stripe runs the financial layer (Link CLI for spending, Stripe API for receiving) → NemoClaw runs the trust layer (sandbox, policies, private routing) → VPS keeps everything always on → Telegram keeps you in the loop TYPES OF BUSINESSES THIS ENABLES: → autonomous software factory (customer request → build → deploy → payment link) → content agency (brief → research → draft → deliver → bill) → lead generation service (scrape → qualify → outreach → book calls) → SaaS monitoring and maintenance (detect issues → fix → deploy → report) → e-commerce operations (inventory → pricing → fulfillment → support) each one: Hermes profiles handle the workflows. Stripe handles the payments (in and out). NemoClaw handles the security. you handle the strategy. THE HACKATHON: Hermes Agent Accelerated Business Hackathon with Nvidia and Stripe. cash prizes + Stripe credits + Nvidia DGX Spark. ends June 30. the goal: build agents that earn, spend, and run real operations autonomously. link in the Nous Research Discord. full Hermes architecture deep-dive in the article 👇

YanXbt

37,709 次观看 • 19 天前

A guy runs AI ads for local roofers and they pay him $2,000-$5,000 a month each he doesn't film anything. He doesn't hire anyone he opens Facebook's Ad Library and finds ads that have been running for 6+ months - those are the proven winners then he drops them into Higgsfield and has it rebuild the same ad with the client's logo claude writes the script and the ad copy for him in one afternoon he's got 10-15 video ads for a roofing company that never ran a single ad before he launches them on Meta and leads start coming in through a simple form an AI bot texts every lead back in under 2 minutes and books them straight onto the client's calendar the roofer just wakes up to booked appointments. He has no idea AI did all of it some of these clients have paid him the same fee every month for 2 years straight he bills per lead or a flat retainer - either way it's recurring, and the AI does most of the work one skill, a few tools, and small local businesses that have never touched advertising save this, the quietest AI money right now isn't apps - it's running ads nobody knows are AI

Archive

104,586 次观看 • 1 个月前

I built this CEO dashboard for my client. And it changed how they run their entire business. 1/ Before this dashboard, they were making decisions in the dark. Revenue, profit, and marketing spend scattered across spreadsheets and platforms. - No single source of truth. - No real-time profit and loss visibility. - No way to see which channels were actually driving growth. 2/ Here’s what this dashboard delivers: Executive Overview: → $102K total revenue tracked live → $79.8K gross profit and 78% gross margin calculated automatically → 15% contribution margin, updated in real time → $5,880 revenue this week, always visible Profit & Loss Clarity: → Visual breakdown of revenue, COGS, transaction costs, and marketing spend → Instantly see contribution margin and where profit is made (or lost) Revenue & COGS by Type: → Instantly compare new vs. returning revenue and costs → Know exactly what’s driving growth and what’s eating margin Marketing Spend by Channel: → Compare Meta vs. Google spend → See which channel is delivering the best ROI Revenue vs. Marketing Spend Trends: → Visualize how every marketing dollar translates to revenue over time Conversion & Order Insights: → Track sessions, orders, conversion rates, AOV, MER, CPA, and more live Dark mode or light mode? → This dashboard looks stunning with these two options. No more squinting at numbers. Details are always crystal clear. 3/ The transformation was instant: Before: → Hours spent pulling numbers from different platforms → Guessing at profit and loss → No clarity on which channel was working After: → 10 minutes daily reviewing live insights → Real-time, data-driven decisions → Confident budget allocation and growth planning 4/ The business impact: → Faster decisions → Smarter optimizations → A client who finally feels in control of their numbers This isn’t just a dashboard. This is executive intelligence. Every metric tells a story. Every trend reveals an opportunity. Every insight drives profit. Want a dashboard that makes your business look (and run) like a million bucks? I build custom dashboards & AI automation systems that give you real-time clarity and control. - Real-time data - Predictive insights - Automated reporting - Intelligent alerts Ready to stop guessing? Like + Comment "CEO DASHBOARD" and I’ll DM you a free resource to help you track the top 5 metrics every CEO should monitor.

I built this CEO dashboard for my client. And it changed how they run their entire business. 1/ Before this dashboard, they were making decisions in the dark. Revenue, profit, and marketing spend scattered across spreadsheets and platforms. - No single source of truth. - No real-time profit and loss visibility. - No way to see which channels were actually driving growth. 2/ Here’s what this dashboard delivers: Executive Overview: → $102K total revenue tracked live → $79.8K gross profit and 78% gross margin calculated automatically → 15% contribution margin, updated in real time → $5,880 revenue this week, always visible Profit & Loss Clarity: → Visual breakdown of revenue, COGS, transaction costs, and marketing spend → Instantly see contribution margin and where profit is made (or lost) Revenue & COGS by Type: → Instantly compare new vs. returning revenue and costs → Know exactly what’s driving growth and what’s eating margin Marketing Spend by Channel: → Compare Meta vs. Google spend → See which channel is delivering the best ROI Revenue vs. Marketing Spend Trends: → Visualize how every marketing dollar translates to revenue over time Conversion & Order Insights: → Track sessions, orders, conversion rates, AOV, MER, CPA, and more live Dark mode or light mode? → This dashboard looks stunning with these two options. No more squinting at numbers. Details are always crystal clear. 3/ The transformation was instant: Before: → Hours spent pulling numbers from different platforms → Guessing at profit and loss → No clarity on which channel was working After: → 10 minutes daily reviewing live insights → Real-time, data-driven decisions → Confident budget allocation and growth planning 4/ The business impact: → Faster decisions → Smarter optimizations → A client who finally feels in control of their numbers This isn’t just a dashboard. This is executive intelligence. Every metric tells a story. Every trend reveals an opportunity. Every insight drives profit. Want a dashboard that makes your business look (and run) like a million bucks? I build custom dashboards & AI automation systems that give you real-time clarity and control. - Real-time data - Predictive insights - Automated reporting - Intelligent alerts Ready to stop guessing? Like + Comment "CEO DASHBOARD" and I’ll DM you a free resource to help you track the top 5 metrics every CEO should monitor.

Lian Lim | Dashboard & AI Automation Expert

115,566 次观看 • 9 个月前