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Our laundry fold software runs fully on a $250 Jetson Nano - avg 2 mins 20 secs per t-shirt. Robot arms + compute = $3K, software = $20 per month. Works in any home - affordable, accurate, fast, fully autonomous, auto fault recovery, fully local - join our waitlist 7X

Usman Roshan

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256,866 görüntüleme • 1 yıl önce •via X (Twitter)

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We took our laundry folding robot to Joanna Stern's Joanna Stern home to fold her t-shirts - fully autonomous, auto fault recovery, unseen environment, unseen t-shirts. Despite hardware problems it took avg of 2 mins 20 secs per t-shirt. Join our waitlist, price $3K 7X

We took our laundry folding robot to Joanna Stern's Joanna Stern home to fold her t-shirts - fully autonomous, auto fault recovery, unseen environment, unseen t-shirts. Despite hardware problems it took avg of 2 mins 20 secs per t-shirt. Join our waitlist, price $3K 7X

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Your home laundry folding robot has arrived - the full unit with arms, compute, cams, light, and table is $1500 incl shipping and taxes to USA and Canada. Works on a 2.5 x 2ft folding table, perfect for apartments, 1 min/item, fully autonomous, safe, private, 1 year warranty 7X

Your home laundry folding robot has arrived - the full unit with arms, compute, cams, light, and table is $1500 incl shipping and taxes to USA and Canada. Works on a 2.5 x 2ft folding table, perfect for apartments, 1 min/item, fully autonomous, safe, private, 1 year warranty 7X

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🚀 This is what next-gen tokenization looks like. Evergon lets you launch compliant asset sales in minutes. ComPilotAI enforces on-chain rules, like KYC, KYB, AML, and signature gating. And the Nexera Standard ties it all together. 🧩 Modular. 🔐 Policy-based. ⚖️ MiCA & VASP-ready. Convert any asset into a compliant ERC-20, → Dynamic compliance per wallet, per jurisdiction → Signature-gated market + token access → Works with ERC-3643, and goes beyond it → Fully customizable workflows, no-code ready This is the invisible engine behind tomorrow’s regulated financial infrastructure. 📽 Walk through the real thing with our Product Manager ⊤∣⊤∣:

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Nexera

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Marc Benioff just exposed the biggest hypocrisy in the AI boom. The companies building the AI that’s supposed to kill software are some of Salesforce’s largest customers. Benioff: “The AI companies love our products and they can’t buy enough of them. They’re some of our largest customers now: Anthropic, OpenAI, Google, Amazon, you name it.” Let that land. The most advanced AI labs on earth. The companies with more engineering talent and compute than anyone. The ones building the technology that analysts say will make traditional software obsolete. Still buying traditional software. At scale. Benioff: “No one has a company that’s running entirely on a large language model because it’s not real.” Not because they haven’t tried. Because an LLM is not a foundation. It’s a feature. Benioff: “Yeah, Minority Report, I watched the movie. Great guys, fantastic. But I’m in the present-moment reality right now. We’re living in this world. This is 2026.” The analysts writing reports about fully autonomous AI companies have never had to run one. Benioff is running one of the largest enterprise software companies on earth. The gap between those two perspectives is where billions of dollars are being misallocated. Benioff: “How are we doing our financials, our HR, our customer information? How are we doing all of these aspects of our business?” A neural network that hallucinates cannot execute a financial transaction that has to be right every single time. Cannot secure customer data with zero tolerance for error. Cannot provide the determinism that every real business runs on. Benioff: “We need the determinism, and the programmability, and the security, and the sharing.” AI doesn’t replace those requirements. It sits on top of them. Benioff: “I think the software industry is going to be bigger and broader and do more this year than ever before.” The future isn’t AI replacing software. It’s AI making software exponentially more powerful. The smartest people building the future already know this. They’re the ones still buying the software.

Marc Benioff just exposed the biggest hypocrisy in the AI boom. The companies building the AI that’s supposed to kill software are some of Salesforce’s largest customers. Benioff: “The AI companies love our products and they can’t buy enough of them. They’re some of our largest customers now: Anthropic, OpenAI, Google, Amazon, you name it.” Let that land. The most advanced AI labs on earth. The companies with more engineering talent and compute than anyone. The ones building the technology that analysts say will make traditional software obsolete. Still buying traditional software. At scale. Benioff: “No one has a company that’s running entirely on a large language model because it’s not real.” Not because they haven’t tried. Because an LLM is not a foundation. It’s a feature. Benioff: “Yeah, Minority Report, I watched the movie. Great guys, fantastic. But I’m in the present-moment reality right now. We’re living in this world. This is 2026.” The analysts writing reports about fully autonomous AI companies have never had to run one. Benioff is running one of the largest enterprise software companies on earth. The gap between those two perspectives is where billions of dollars are being misallocated. Benioff: “How are we doing our financials, our HR, our customer information? How are we doing all of these aspects of our business?” A neural network that hallucinates cannot execute a financial transaction that has to be right every single time. Cannot secure customer data with zero tolerance for error. Cannot provide the determinism that every real business runs on. Benioff: “We need the determinism, and the programmability, and the security, and the sharing.” AI doesn’t replace those requirements. It sits on top of them. Benioff: “I think the software industry is going to be bigger and broader and do more this year than ever before.” The future isn’t AI replacing software. It’s AI making software exponentially more powerful. The smartest people building the future already know this. They’re the ones still buying the software.

Dustin

203,575 görüntüleme • 6 ay önce

"A Large Part Of A Pediatricians Paycheck Is Coming From Vaccines...A Doctor's 'Cut' For A Fully Vaccinated Child Is $1.5 Million." "If Everybody In Our Clinic Followed The Regular Vaccine Schedule...All The Wellness Visits,That Profit Would Be $1,569,000 Dollars." Dr Bob Zajak Current 2025 Blue Cross Blue Shield provider profit on an average of 10 'well child' visits by 2yrs of age, equals $400 provider profit per patient multiplied by 5000 fully vaccinated children in any given pediatrician practice per year equals $2,000,000 Million pure profit over & above the Doctors regular rate of pay. The Ugly Truth: - HMOs like Anthem Blue Cross Blue Shield pay doctors $200–$600 per fully vaccinated child—with top earners making over $1M annually in bonuses. - Most pediatricians drop families & tell them NOT to return to protect their bottom line, which is based on %Percent of children within the practice fully vaccinated, in order to get paid bonuses & incentives. Fear-Based Lies: - “Your newborn will bleed out & die without the Vitamin K shot!” - “Your child will die of cancer without the Gardasil HPV shots!” - No informed consent—just threats and coercion. Doctors do not know the ingredients in vaccines nor have they read the package inserts. This isn’t medicine—it’s a profit-driven racket disguised as healthcare. Let's Look At A Few Real World Examples From HMOs Own Internal Documents 'Provider Incentive Bonuses.' Anthem Blue Cross Blue Shield Provider Bonuses: Childhood Vaccine Schedule 25 Doses By Age 2 - Each fully vaccinated child will incur a provider bonus of $400.00 COVID-19 Vaccines • 60% Anthem patients per medical practice vaccinated will receive $200 bonus per vaccinated patient. • 75% Anthem patients per medical practice vaccinated will receive $250 bonus per vaccinated patient. Gardasil HPV Vaccine Provider Incentive Program ages 9 to 13 - Each fully vaccinated child will incur a provider bonus of $250 Fully Vaccinated Bonus For Each Child Under The Age Of 2: -100 children provider bonus is $40,000. -200 children provider bonus is $80,000. Providers must maintain at least 75% of practice patients to receive these bonuses. 👇COVID-19 Provider Bonuses & Incentives👇 👇Gardasil HPV Provider Incentives👇 👇Carefirst Provider Incentive Program👇 👇BCBS Incentive Program Booklet👇 Speaker: Dr Bob Zajak, MD Pediatrician Video: ICAN - Informed Consent Action Network Children’s Health Defense

"A Large Part Of A Pediatricians Paycheck Is Coming From Vaccines...A Doctor's 'Cut' For A Fully Vaccinated Child Is $1.5 Million." "If Everybody In Our Clinic Followed The Regular Vaccine Schedule...All The Wellness Visits,That Profit Would Be $1,569,000 Dollars." Dr Bob Zajak Current 2025 Blue Cross Blue Shield provider profit on an average of 10 'well child' visits by 2yrs of age, equals $400 provider profit per patient multiplied by 5000 fully vaccinated children in any given pediatrician practice per year equals $2,000,000 Million pure profit over & above the Doctors regular rate of pay. The Ugly Truth: - HMOs like Anthem Blue Cross Blue Shield pay doctors $200–$600 per fully vaccinated child—with top earners making over $1M annually in bonuses. - Most pediatricians drop families & tell them NOT to return to protect their bottom line, which is based on %Percent of children within the practice fully vaccinated, in order to get paid bonuses & incentives. Fear-Based Lies: - “Your newborn will bleed out & die without the Vitamin K shot!” - “Your child will die of cancer without the Gardasil HPV shots!” - No informed consent—just threats and coercion. Doctors do not know the ingredients in vaccines nor have they read the package inserts. This isn’t medicine—it’s a profit-driven racket disguised as healthcare. Let's Look At A Few Real World Examples From HMOs Own Internal Documents 'Provider Incentive Bonuses.' Anthem Blue Cross Blue Shield Provider Bonuses: Childhood Vaccine Schedule 25 Doses By Age 2 - Each fully vaccinated child will incur a provider bonus of $400.00 COVID-19 Vaccines • 60% Anthem patients per medical practice vaccinated will receive $200 bonus per vaccinated patient. • 75% Anthem patients per medical practice vaccinated will receive $250 bonus per vaccinated patient. Gardasil HPV Vaccine Provider Incentive Program ages 9 to 13 - Each fully vaccinated child will incur a provider bonus of $250 Fully Vaccinated Bonus For Each Child Under The Age Of 2: -100 children provider bonus is $40,000. -200 children provider bonus is $80,000. Providers must maintain at least 75% of practice patients to receive these bonuses. 👇COVID-19 Provider Bonuses & Incentives👇 👇Gardasil HPV Provider Incentives👇 👇Carefirst Provider Incentive Program👇 👇BCBS Incentive Program Booklet👇 Speaker: Dr Bob Zajak, MD Pediatrician Video: ICAN - Informed Consent Action Network Children’s Health Defense

Valerie Anne Smith

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🥷Meet Senpi — your OnchainGPT. Your AI edge in the market: autonomous trading, auto-buys, auto-sells, groups, sentiment analysis, portfolio tracking — and more — onchain. Senpi is a new brand and product from Airstack — live today Senpi -- more details 👇 Based on feedback from users and stakeholders, we’ve made our AI platform our full focus and launched it under a clean new brand: Senpi. Starting today, 100% of our team’s energy is on building Senpi. To the Moxie community: It’s been an honor to build the Moxie creator economy with you — on Farcaster, on Base, and across the onchain frontier. Three years ago, Airstack started as a crypto x AI data company. Now, we’re returning to our roots — focusing on where we can create the most long-term value: autonomous onchain AI. Senpi is live today — fully functional and evolving fast. You can start using it now — free to use, with only small transaction fees per trade. To $MOXIE holders: You were with us from the beginning, and we want you with us in this next chapter. When we launch the Senpi token, all $MOXIE holders will be eligible for a special airdrop — a heartfelt thank you for believing in us early. More details at Moxie It’s time to enter the dojo. 🥷

Jason Goldberg

14,655 görüntüleme • 1 yıl önce

NEWS: Lumina has unveiled their new, fully electric bulldozer, called the Moonlander. • 8-10 hours of runtime • Weight: 32 tons • 0-80% charge in 50 mins • Up to 300kW charging speed • Manned teleoperational autonomously • Regenerative braking • 36" steel tracks • 360 degree cameras • 750 hp • OTA software updates • 15ft blade, double the volume of conventional blades • Can push 7 to 9 cubic meters of material all-day • Runs completely silently. The only thing you hear is the steel tracks moving and the material the dozer moves. Founder Ahmed Shubber says he wants to compete with the Caterpillars of the construction industry by building the "Tesla of bulldozers." He's taking the "Tesla approach" by building everything from the hardware and software stack in-house, including what Lumina hopes will be the Moonlander's autonomous capabilities. Lumina is currently raising $20 million to $40 million for its Series A round. The company's business model won't be focused on selling equipment. Instead, it will be the company that performs the excavation on project sites. The start date goal is January 2026.

NEWS: Lumina has unveiled their new, fully electric bulldozer, called the Moonlander. • 8-10 hours of runtime • Weight: 32 tons • 0-80% charge in 50 mins • Up to 300kW charging speed • Manned teleoperational autonomously • Regenerative braking • 36" steel tracks • 360 degree cameras • 750 hp • OTA software updates • 15ft blade, double the volume of conventional blades • Can push 7 to 9 cubic meters of material all-day • Runs completely silently. The only thing you hear is the steel tracks moving and the material the dozer moves. Founder Ahmed Shubber says he wants to compete with the Caterpillars of the construction industry by building the "Tesla of bulldozers." He's taking the "Tesla approach" by building everything from the hardware and software stack in-house, including what Lumina hopes will be the Moonlander's autonomous capabilities. Lumina is currently raising $20 million to $40 million for its Series A round. The company's business model won't be focused on selling equipment. Instead, it will be the company that performs the excavation on project sites. The start date goal is January 2026.

Sawyer Merritt

351,879 görüntüleme • 1 yıl önce

JENSEN HUANG SOLD A $249 AI COMPUTER ON STAGE THAT KILLS YOUR $200/MONTH OPENAI BILL. THE VIDEO HAS 217,000 LIKES the box is called the jetson orin nano super. 70 trillion ai operations per second, 25 watts, smaller than a wallet. it runs llama 3, mistral, gemma and deepseek locally with no api fees and no data leaving your house a developer running automations and coding assistants pays $200 a month to openai. the same workload on this box costs $2 a month in electricity and breaks even on the hardware in 10 weeks you install ollama with one command. change one line in your code. point it at localhost instead of openai. everything else works identically 7 billion parameter models handle 80% of what people use chatgpt for. summarization, drafting, coding, document q&a, automation pipelines. the hard 20% you keep claude or gpt for. total monthly cost drops from $200 to $22 cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who set this up in 2025 are going to look very smart in 2027 bookmark this and read the article below

JENSEN HUANG SOLD A $249 AI COMPUTER ON STAGE THAT KILLS YOUR $200/MONTH OPENAI BILL. THE VIDEO HAS 217,000 LIKES the box is called the jetson orin nano super. 70 trillion ai operations per second, 25 watts, smaller than a wallet. it runs llama 3, mistral, gemma and deepseek locally with no api fees and no data leaving your house a developer running automations and coding assistants pays $200 a month to openai. the same workload on this box costs $2 a month in electricity and breaks even on the hardware in 10 weeks you install ollama with one command. change one line in your code. point it at localhost instead of openai. everything else works identically 7 billion parameter models handle 80% of what people use chatgpt for. summarization, drafting, coding, document q&a, automation pipelines. the hard 20% you keep claude or gpt for. total monthly cost drops from $200 to $22 cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who set this up in 2025 are going to look very smart in 2027 bookmark this and read the article below

starmex

1,998,810 görüntüleme • 3 ay önce

Morgan Stanley expects Tesla $TSLA to have roughly 1K fully self-driving robotaxis on the road next year. Here are the three robotaxi tailwinds they’re watching: 1. The inflection point is when Tesla removes safety monitors entirely and opens rides to the public. Every software update is pushing them closer and once one city allows it the regulatory dominoes start to fall. 2. To expand state-by-state in 2026, Tesla needs logged miles without safety drivers where crash rates and interventions keep trending down. If safety improves as the system takes over more driving then regulatory resistance weakens fast. 3. The Cybercab is a purpose-built robotaxi with no steering wheel or pedals built through Tesla’s “unboxed” manufacturing system. Lower parts count plus lower capex per unit means cheaper vehicles, faster ramp & better unit economics for an autonomous fleet. Productions starts April 2026

Morgan Stanley expects Tesla $TSLA to have roughly 1K fully self-driving robotaxis on the road next year. Here are the three robotaxi tailwinds they’re watching: 1. The inflection point is when Tesla removes safety monitors entirely and opens rides to the public. Every software update is pushing them closer and once one city allows it the regulatory dominoes start to fall. 2. To expand state-by-state in 2026, Tesla needs logged miles without safety drivers where crash rates and interventions keep trending down. If safety improves as the system takes over more driving then regulatory resistance weakens fast. 3. The Cybercab is a purpose-built robotaxi with no steering wheel or pedals built through Tesla’s “unboxed” manufacturing system. Lower parts count plus lower capex per unit means cheaper vehicles, faster ramp & better unit economics for an autonomous fleet. Productions starts April 2026

Shay Boloor

100,902 görüntüleme • 8 ay önce

NEWS: Tonight, Toyota unveiled the all-new, redesigned RAV4 — the former #1 best-selling car in the world — marking its first redesign in 6 years. • Every trim will now be a Hybrid or Plug-in Hybrid • 20% more all-electric drive range of 50 miles (42 miles previously) • Redesigned exterior and interior • The PHEV XSE and Woodland trims will have DC fast charging, capable of charging from 10% to 80% in 30 mins • 11-kW AC onboard charger available • Towing capacity: Up to 3,500 lbs • New 12.9" touchscreen. Digital HVAC controls are a new feature integrated into the bottom of the touchscreen display. • 12.3" digital gauge cluster • Equipped with Arene, an all-new software development platform created by Woven by Toyota. "The introduction of Arene is Toyota’s first step toward fully software-defined vehicles. The platform will be the foundation for our most advanced safety, security and connectivity technologies." • New RAV4 is the first Toyota model to receive the Toyota Safety Sense 4.0 system. The new version of Toyota’s standard active safety suite will have updates to its hardware and detection capabilities. Additional details will be available closer to the on-sale date. • Wireless Apple CarPlay & Android Auto • Up to 320 hp • 2026 RAV4 models are expected to start arriving at Toyota dealerships across the U.S. later this year, and pricing will be announced closer to on-sale date.

NEWS: Tonight, Toyota unveiled the all-new, redesigned RAV4 — the former #1 best-selling car in the world — marking its first redesign in 6 years. • Every trim will now be a Hybrid or Plug-in Hybrid • 20% more all-electric drive range of 50 miles (42 miles previously) • Redesigned exterior and interior • The PHEV XSE and Woodland trims will have DC fast charging, capable of charging from 10% to 80% in 30 mins • 11-kW AC onboard charger available • Towing capacity: Up to 3,500 lbs • New 12.9" touchscreen. Digital HVAC controls are a new feature integrated into the bottom of the touchscreen display. • 12.3" digital gauge cluster • Equipped with Arene, an all-new software development platform created by Woven by Toyota. "The introduction of Arene is Toyota’s first step toward fully software-defined vehicles. The platform will be the foundation for our most advanced safety, security and connectivity technologies." • New RAV4 is the first Toyota model to receive the Toyota Safety Sense 4.0 system. The new version of Toyota’s standard active safety suite will have updates to its hardware and detection capabilities. Additional details will be available closer to the on-sale date. • Wireless Apple CarPlay & Android Auto • Up to 320 hp • 2026 RAV4 models are expected to start arriving at Toyota dealerships across the U.S. later this year, and pricing will be announced closer to on-sale date.

Sawyer Merritt

367,601 görüntüleme • 1 yıl önce

Let’s talk about Zipline’s test sites and who we’re hiring for 🧵 They are where elite talent meets 24/7 large scale high volume testing. They’re the engine that helped scale Zipline to the largest autonomous delivery service on earth, 5,000+ autonomous trips around the world and we’re just getting started. Zipline's testing in 2025: 315,000+ test flights 🚀 35,000+ flight hours (480+ straight days of nonstop flying) 🙂‍ 3,000+ flights per day 📈 Our test sites are built to push our system to the max so that we de-risk tomorrow. Each one tackles a different brutal edgecase to make sure the system’s reliability is bulletproof. Our 'engineering test site' in the video I posted is reconfigured every few weeks: new obstacles are added, new flight apps reviewed, new edge cases are tested in any weather condition. Every new software build deploys here first, into live airspace. Our other sites are placed around the U.S. and are focused on testing in severe conditions that ground most if not all other forms of transport. They operate in scorching heat of up to 125 degrees, high-altitudes, intense rainstorms, 60+ mph winds, hail, sleet, and extreme cold-weather, down to -20F. Heavy ice and snow accumulation on propulsion and sensors is the norm. We aggressively chase these conditions in test so we dominate when it really matters. We are now developing 5+ new test sites, each one dialed in to push even more extreme weather and edge conditions. What I am especially proud of is that our safety has kept improving even as flight volume, complexity and environmental hostility increases. We’ve been able to test and develop at a scale that’s unprecedented in aviation history because our teams own a 100% fully vertical tech stack, built hand in hand with our flight and application software teams. We have to have the most robust airspace and fleet management tools on earth because Zipline will soon operate the largest fleet of aircraft on earth. Now to the fun part, we're hiring! DM me or send me an email to marcusZipline.com if you want to join Zipline Test Operations! We're hiring Flight Test Operators, Test Site Operators, Flight Test Electricians, Flight Test Construction Staff, Flight Test Project and Program Managers, Flight Test Engineers, Flight Test Safety Managers, Flight Test Security and, most importantly, Flight and Fleet Application Software Engineers. Please, cut to the chase. We have zero requirements on degrees, formal education or tenure. What counts is what you can do, merit, and what you’ve shown you’re capable of. Highlight that. Let's go!

Let’s talk about Zipline’s test sites and who we’re hiring for 🧵 They are where elite talent meets 24/7 large scale high volume testing. They’re the engine that helped scale Zipline to the largest autonomous delivery service on earth, 5,000+ autonomous trips around the world and we’re just getting started. Zipline's testing in 2025: 315,000+ test flights 🚀 35,000+ flight hours (480+ straight days of nonstop flying) 🙂‍ 3,000+ flights per day 📈 Our test sites are built to push our system to the max so that we de-risk tomorrow. Each one tackles a different brutal edgecase to make sure the system’s reliability is bulletproof. Our 'engineering test site' in the video I posted is reconfigured every few weeks: new obstacles are added, new flight apps reviewed, new edge cases are tested in any weather condition. Every new software build deploys here first, into live airspace. Our other sites are placed around the U.S. and are focused on testing in severe conditions that ground most if not all other forms of transport. They operate in scorching heat of up to 125 degrees, high-altitudes, intense rainstorms, 60+ mph winds, hail, sleet, and extreme cold-weather, down to -20F. Heavy ice and snow accumulation on propulsion and sensors is the norm. We aggressively chase these conditions in test so we dominate when it really matters. We are now developing 5+ new test sites, each one dialed in to push even more extreme weather and edge conditions. What I am especially proud of is that our safety has kept improving even as flight volume, complexity and environmental hostility increases. We’ve been able to test and develop at a scale that’s unprecedented in aviation history because our teams own a 100% fully vertical tech stack, built hand in hand with our flight and application software teams. We have to have the most robust airspace and fleet management tools on earth because Zipline will soon operate the largest fleet of aircraft on earth. Now to the fun part, we're hiring! DM me or send me an email to marcusZipline.com if you want to join Zipline Test Operations! We're hiring Flight Test Operators, Test Site Operators, Flight Test Electricians, Flight Test Construction Staff, Flight Test Project and Program Managers, Flight Test Engineers, Flight Test Safety Managers, Flight Test Security and, most importantly, Flight and Fleet Application Software Engineers. Please, cut to the chase. We have zero requirements on degrees, formal education or tenure. What counts is what you can do, merit, and what you’ve shown you’re capable of. Highlight that. Let's go!

Marcus Mueller

312,539 görüntüleme • 5 ay önce

I got a fully autonomous robot lawn mower (not sponsored). It's mowing at full speed in these clips, and it's virtually silent. • Mows up to 1.5 acres • Adjustable cutting height: 0.75" to 4" • Max slope ability: 84% (40°) • Battery lasts up to ~2 hours or 0.27 acre per charge. 90 mins to recharge • Goes & docks itself to recharge • Auto-mapping • Can mow at night with its LED lights • 4WD with dual independent steering motors • IP66. Rain sensor • Cutting width: 17" • Can recognize and avoid 200+ object • You control everything from an app, including exclusion zones, cutting height, start/stop, etc. It's the Navimow X450, and has been working pretty well these last few weeks. Again, not sponsored lol, I just wanted to post about it. Might do a more long-term review in a couple months. The downside? The 1.5 acre version is $3k, but if you’re away a lot and can’t mow regularly, it’s a pretty cool piece of tech that should pay for itself over time compared to hiring someone, especially in rural areas where finding someone to cut the lawn can be hard.

I got a fully autonomous robot lawn mower (not sponsored). It's mowing at full speed in these clips, and it's virtually silent. • Mows up to 1.5 acres • Adjustable cutting height: 0.75" to 4" • Max slope ability: 84% (40°) • Battery lasts up to ~2 hours or 0.27 acre per charge. 90 mins to recharge • Goes & docks itself to recharge • Auto-mapping • Can mow at night with its LED lights • 4WD with dual independent steering motors • IP66. Rain sensor • Cutting width: 17" • Can recognize and avoid 200+ object • You control everything from an app, including exclusion zones, cutting height, start/stop, etc. It's the Navimow X450, and has been working pretty well these last few weeks. Again, not sponsored lol, I just wanted to post about it. Might do a more long-term review in a couple months. The downside? The 1.5 acre version is $3k, but if you’re away a lot and can’t mow regularly, it’s a pretty cool piece of tech that should pay for itself over time compared to hiring someone, especially in rural areas where finding someone to cut the lawn can be hard.

Sawyer Merritt

356,668 görüntüleme • 8 gün önce

A fully electric autonomous tractor that lifts 4 tons, pulls 8 tons, runs 24 hours, and you can repair it in the middle of a field. This is Voltrac. 🦾 Made in Europe 🇪🇺 How would you design a futuristic autonomous tractor? Voltrac threw out everything and started from scratch. 70% fewer parts. One motor per wheel. Hot-swap batteries. Backwards compatible with any attachment a farmer already owns. Voltrac is more than a tractor, it’s the brain of the farm. One operator supervises multiple tractors across multiple farms. Every drive analyzes the crops, catches disease early, cuts fertilizer costs. And the same hitch that connects to farm tools connects to demining gear and resupply payloads for the front line. Disclaimer: I'm an early investor, because this is exactly what Europe needs. Europe had 70 million farmers in 2020. Projected 7 million by 2030. Our population keeps growing. Everyone still wants to eat. Somebody has to solve this. They build in Valencia, not China. Because the talent, the precision manufacturing, and the know-how are all here. We just forget how good we are. If we don't build this, someone in China will and sell it to European farmers. 🇪🇺🔥 Full Video on YT!

A fully electric autonomous tractor that lifts 4 tons, pulls 8 tons, runs 24 hours, and you can repair it in the middle of a field. This is Voltrac. 🦾 Made in Europe 🇪🇺 How would you design a futuristic autonomous tractor? Voltrac threw out everything and started from scratch. 70% fewer parts. One motor per wheel. Hot-swap batteries. Backwards compatible with any attachment a farmer already owns. Voltrac is more than a tractor, it’s the brain of the farm. One operator supervises multiple tractors across multiple farms. Every drive analyzes the crops, catches disease early, cuts fertilizer costs. And the same hitch that connects to farm tools connects to demining gear and resupply payloads for the front line. Disclaimer: I'm an early investor, because this is exactly what Europe needs. Europe had 70 million farmers in 2020. Projected 7 million by 2030. Our population keeps growing. Everyone still wants to eat. Somebody has to solve this. They build in Valencia, not China. Because the talent, the precision manufacturing, and the know-how are all here. We just forget how good we are. If we don't build this, someone in China will and sell it to European farmers. 🇪🇺🔥 Full Video on YT!

Andreas Klinger 🦾

41,826 görüntüleme • 2 ay önce

QVAC SDK 0.14.0 is live. This release makes the on-device stack faster on mobile, ships the developer-agent path, and takes local text-to-speech to 31 languages. Main highlights: - OpenCode and OpenClaw. The first official OpenCode plugin, plus a maintained OpenClaw compatibility path, both built on managed mode and qvac serve. Point a coding agent at a local model with far less setup and far fewer surprises. - Brain-computer interface transcription, on the SDK. Take recorded neural signal data and decode it into text, fully on-device, no cloud. Stream it in chunks through a simple API. In 0.14 it runs GPU-accelerated on iOS. - Text to Speech in 31 languages with our Supertonic3 upgrade. VOICE AND SPEECH - Supertonic3 multilingual TTS, 5 languages to 31. - Chatterbox and Supertonic now run on the Android GPU, with lower memory use (especially on iOS), quantized s3gen Chatterbox support, and a fix for Chatterbox occasionally emitting random speech. - Whisper transcription now runs on the iOS GPU. Parakeet runs on the Android GPU, with steadier real-time streaming. VISION AND OCR - VLM multi-tile batching: high-resolution Pan and Scan images are encoded in one pass instead of tile by tile, for faster vision throughput. - OCR on ggml (EasyOCR and DocTR) reaches full speed parity with the onnx path, across Metal, OpenCL, and Vulkan. PLATFORM AND RELIABILITY - Dynamic compute backends on Linux: one build picks the right backend at runtime, and opens the door to ROCm and CUDA support without per-backend builds. - Thinking tokens are kept out of the model context, so reasoning no longer fills the KV cache. SDK 0.14.0 is now leaner and faster to start. Let’s build.

QVAC SDK 0.14.0 is live. This release makes the on-device stack faster on mobile, ships the developer-agent path, and takes local text-to-speech to 31 languages. Main highlights: - OpenCode and OpenClaw. The first official OpenCode plugin, plus a maintained OpenClaw compatibility path, both built on managed mode and qvac serve. Point a coding agent at a local model with far less setup and far fewer surprises. - Brain-computer interface transcription, on the SDK. Take recorded neural signal data and decode it into text, fully on-device, no cloud. Stream it in chunks through a simple API. In 0.14 it runs GPU-accelerated on iOS. - Text to Speech in 31 languages with our Supertonic3 upgrade. VOICE AND SPEECH - Supertonic3 multilingual TTS, 5 languages to 31. - Chatterbox and Supertonic now run on the Android GPU, with lower memory use (especially on iOS), quantized s3gen Chatterbox support, and a fix for Chatterbox occasionally emitting random speech. - Whisper transcription now runs on the iOS GPU. Parakeet runs on the Android GPU, with steadier real-time streaming. VISION AND OCR - VLM multi-tile batching: high-resolution Pan and Scan images are encoded in one pass instead of tile by tile, for faster vision throughput. - OCR on ggml (EasyOCR and DocTR) reaches full speed parity with the onnx path, across Metal, OpenCL, and Vulkan. PLATFORM AND RELIABILITY - Dynamic compute backends on Linux: one build picks the right backend at runtime, and opens the door to ROCm and CUDA support without per-backend builds. - Thinking tokens are kept out of the model context, so reasoning no longer fills the KV cache. SDK 0.14.0 is now leaner and faster to start. Let’s build.

QVAC

23,973,950 görüntüleme • 1 ay önce

PMC COVID-19 Dashboard, Dec 30, 2024 (U.S.) 🔥1 in 50 people actively infectious 🔥1 in 3 chance of an exposure in a gathering of 20 on NYE 🔥6.7 million new infections per week 🔥>300,000 resulting #LongCOVID conditions/week Info for new readers: For those unfamiliar with the PMC model, find full weekly reports for the past 1.5 years at The models combine data from IHME, Biobot, and CDC to use wastewater to estimate case levels (r = .93 to .96) and forecast levels the next month based on typical levels for that date and recent patterns of changes in transmission the past 4 weeks. Our work has been cited in top scientific journals and media outlets, which are fully sourced in a detailed technical appendix at Examples include JAMA Onc, JAMA-NO, BMC Public Health, Time, People, TODAY, the Washington Post, the Institute for New Economic Thinking, Salon, Forbes, the New Republic, Fox, CBS, and NBC. See pgs 11-13 at the above link. We will have a pre-print out in the next month documenting very compelling evidence for the validity of using wastewater to estimate case rates. Forecasting is challenging in the context of the current viral evolution, but the real-time estimates of cases are impressively accurate to the best we can evaluate it.

PMC COVID-19 Dashboard, Dec 30, 2024 (U.S.) 🔥1 in 50 people actively infectious 🔥1 in 3 chance of an exposure in a gathering of 20 on NYE 🔥6.7 million new infections per week 🔥>300,000 resulting #LongCOVID conditions/week Info for new readers: For those unfamiliar with the PMC model, find full weekly reports for the past 1.5 years at The models combine data from IHME, Biobot, and CDC to use wastewater to estimate case levels (r = .93 to .96) and forecast levels the next month based on typical levels for that date and recent patterns of changes in transmission the past 4 weeks. Our work has been cited in top scientific journals and media outlets, which are fully sourced in a detailed technical appendix at Examples include JAMA Onc, JAMA-NO, BMC Public Health, Time, People, TODAY, the Washington Post, the Institute for New Economic Thinking, Salon, Forbes, the New Republic, Fox, CBS, and NBC. See pgs 11-13 at the above link. We will have a pre-print out in the next month documenting very compelling evidence for the validity of using wastewater to estimate case rates. Forecasting is challenging in the context of the current viral evolution, but the real-time estimates of cases are impressively accurate to the best we can evaluate it.

Mike Hoerger, PhD MSCR MBA

86,403 görüntüleme • 1 yıl önce

Our goal has always been to offer you car care solutions that are both effective and affordable. For KSh 10,000 per year, you can join our membership package, which includes the following services: 1. AFTER GARAGE INSPECTIONS This involves inspecting your car after it has been worked on by a garage to ensure quality work was done and that the reported issues were properly resolved. We also carry out a detailed follow-up to confirm that the parts claimed to have been replaced were indeed changed. Data is collected before and after repairs to ensure accurate and factual findings. 2. DETAILED INSPECTION EVERY FOUR MONTHS Every four months, we conduct a comprehensive inspection of your vehicle, focusing on the engine, transmission, auto-electrical systems, suspension, tyre wear patterns, and more. Early diagnosis helps you take preventive action by addressing issues before they fully develop and become costly repairs. 3. AFTER SERVICE COMPUTERISED DIAGNOSIS Every time you take your car for an oil service, we carry out a computerized diagnostic scan focusing on the engine and gearbox. Some dishonest garages exaggerate fault reports to justify unnecessary repairs and sell parts. At 4Real, our reports are completely independent, as we are not in the business of repairing cars, but rather providing unbiased car care through professional inspections. 4. FREE PRE-PURCHASE INSPECTIONS If you are a member and intend to buy a car, you are entitled to 1 FREE pre-purchase inspection. We also offer additional services such as Pre-Purchase Inspections where we inspect the car you intend to buy and give you a very detailed yet easy to understand report on the car. It helps you decide on whether to buy the car or not. We are very independent on our reports. Other than that we also offer car consultancy. If you are unsure which car to buy, we provide a detailed comparison between your shortlisted options, helping you choose the car that will serve you best. Our comparison report is based on: 1. Initial buying price 2. Cost of maintenance 3. Fuel consumption 4. Safety, performance & comfort 5. Practicality 6. Reliability 7. Resale value over time Car consultancy services costs KSh 1,000, but it is FREE for those under our membership packages. To access our services, contact us on 0729 686 646.

Our goal has always been to offer you car care solutions that are both effective and affordable. For KSh 10,000 per year, you can join our membership package, which includes the following services: 1. AFTER GARAGE INSPECTIONS This involves inspecting your car after it has been worked on by a garage to ensure quality work was done and that the reported issues were properly resolved. We also carry out a detailed follow-up to confirm that the parts claimed to have been replaced were indeed changed. Data is collected before and after repairs to ensure accurate and factual findings. 2. DETAILED INSPECTION EVERY FOUR MONTHS Every four months, we conduct a comprehensive inspection of your vehicle, focusing on the engine, transmission, auto-electrical systems, suspension, tyre wear patterns, and more. Early diagnosis helps you take preventive action by addressing issues before they fully develop and become costly repairs. 3. AFTER SERVICE COMPUTERISED DIAGNOSIS Every time you take your car for an oil service, we carry out a computerized diagnostic scan focusing on the engine and gearbox. Some dishonest garages exaggerate fault reports to justify unnecessary repairs and sell parts. At 4Real, our reports are completely independent, as we are not in the business of repairing cars, but rather providing unbiased car care through professional inspections. 4. FREE PRE-PURCHASE INSPECTIONS If you are a member and intend to buy a car, you are entitled to 1 FREE pre-purchase inspection. We also offer additional services such as Pre-Purchase Inspections where we inspect the car you intend to buy and give you a very detailed yet easy to understand report on the car. It helps you decide on whether to buy the car or not. We are very independent on our reports. Other than that we also offer car consultancy. If you are unsure which car to buy, we provide a detailed comparison between your shortlisted options, helping you choose the car that will serve you best. Our comparison report is based on: 1. Initial buying price 2. Cost of maintenance 3. Fuel consumption 4. Safety, performance & comfort 5. Practicality 6. Reliability 7. Resale value over time Car consultancy services costs KSh 1,000, but it is FREE for those under our membership packages. To access our services, contact us on 0729 686 646.

4Real

14,965 görüntüleme • 7 ay önce

Hello, Ghana 🇬🇭 Your Excellency, John Dramani Mahama Hello Africa and the world. We 3Farmate are proud to announce the official launch of FAMA—Ghana's FIRST AI-powered autonomous farming robot for large-scale crop production. Founded in 2021 by Clinton 🛸 (CEO) and Koffi-Cobbin (CTO), the company began in a dorm room at Kwame Nkrumah University of Science and Technology, where its first prototype was developed. Since then, the team has engineered FAMA into a full-scale autonomous robot capable of planting seeds, applying fertilizer, weeding, and spraying across real farm environments. FAMA navigates using a vision-based AI system instead of GPS, allowing it to operate reliably in areas where GPS is unavailable or inconsistent. The robot runs on batteries charged by solar panels while in the field and can operate across uneven terrain, loose and muddy soils, and variable weather conditions. A single operator can oversee multiple robots, each covering 27 to 35 acres per day with sub-85mm planting precision. 3Farmate targets large-scale staple crop producers in Ghana, starting with corn and soybeans. We operate a service model, charging farmers per acre and removing the need for upfront equipment investment. Over 70 farmers and several large-scale crop production companies are currently in discussions, with commercial deployments beginning in the 2026 planting season. Approximately $200,000 has been raised to date, including investment from 776 Foundation (Alexis Ohanian, Reddit co-founder) and a grant from Kosmos Innovation Center Ghana. Our team consists of young engineers specializing in robotics, embedded systems, software, and mechanical design. With 8 major iterations, 60+ field test runs, 100+ cumulative acres covered, and thousands of runtime hours in real farm conditions, FAMA is market-ready to become the ultimate farmer-assistant. We built FAMA right here in Ghana, inspired by Dr. Kwame Nkrumah’s belief that “Africa must industrialize to achieve true independence.” We built FAMA as a true testament to every young engineer in Africa that “IT IS POSSIBLE.” FAMA is designed to operate seamlessly on Ghanaian soil and is adaptable to diverse agricultural environments worldwide. Join us as we drive innovation across global agriculture. We call on the government of Ghana, stakeholders, international organizations, and agri-industry leaders to partner with us in transforming agriculture together. This is not history in the making, because history has already been made, and we thank you for being a part of our journey. On this note, we are officially launched! For more information, visit 3FARMATE – The future is here.

Hello, Ghana 🇬🇭 Your Excellency, John Dramani Mahama Hello Africa and the world. We 3Farmate are proud to announce the official launch of FAMA—Ghana's FIRST AI-powered autonomous farming robot for large-scale crop production. Founded in 2021 by Clinton 🛸 (CEO) and Koffi-Cobbin (CTO), the company began in a dorm room at Kwame Nkrumah University of Science and Technology, where its first prototype was developed. Since then, the team has engineered FAMA into a full-scale autonomous robot capable of planting seeds, applying fertilizer, weeding, and spraying across real farm environments. FAMA navigates using a vision-based AI system instead of GPS, allowing it to operate reliably in areas where GPS is unavailable or inconsistent. The robot runs on batteries charged by solar panels while in the field and can operate across uneven terrain, loose and muddy soils, and variable weather conditions. A single operator can oversee multiple robots, each covering 27 to 35 acres per day with sub-85mm planting precision. 3Farmate targets large-scale staple crop producers in Ghana, starting with corn and soybeans. We operate a service model, charging farmers per acre and removing the need for upfront equipment investment. Over 70 farmers and several large-scale crop production companies are currently in discussions, with commercial deployments beginning in the 2026 planting season. Approximately $200,000 has been raised to date, including investment from 776 Foundation (Alexis Ohanian, Reddit co-founder) and a grant from Kosmos Innovation Center Ghana. Our team consists of young engineers specializing in robotics, embedded systems, software, and mechanical design. With 8 major iterations, 60+ field test runs, 100+ cumulative acres covered, and thousands of runtime hours in real farm conditions, FAMA is market-ready to become the ultimate farmer-assistant. We built FAMA right here in Ghana, inspired by Dr. Kwame Nkrumah’s belief that “Africa must industrialize to achieve true independence.” We built FAMA as a true testament to every young engineer in Africa that “IT IS POSSIBLE.” FAMA is designed to operate seamlessly on Ghanaian soil and is adaptable to diverse agricultural environments worldwide. Join us as we drive innovation across global agriculture. We call on the government of Ghana, stakeholders, international organizations, and agri-industry leaders to partner with us in transforming agriculture together. This is not history in the making, because history has already been made, and we thank you for being a part of our journey. On this note, we are officially launched! For more information, visit 3FARMATE – The future is here.

MARK OFORIQUAYE

148,540 görüntüleme • 5 ay önce

This Chinese developer linked two $2,999 NVIDIA DGX Sparks into one box and runs the full Qwen3-235B at home, after dropping his $1,999-a-month cloud bill to zero. He wired 2 small boxes into a single computer, split a giant 235-billion-parameter model in half between them, and serves it across his own network at about 10 tokens a second, with no internet, no cloud, right there on the desk. No data center, no thousand-dollar graphics cards, no monthly cloud bill. Just him, 2 gold boxes the size of a sandwich, one cable between them, and 1 power strip. And here is the whole payoff. He used to pay the cloud $1,999 a month for the same model, and the meter ticked on every request. Now he paid $5,998 once for 2 boxes, they covered their cost in 3 months, and after that he sends as many requests as he wants for free, only electricity. The two Sparks talk over one fast cable, each holds 128GB of memory, and together they carry the whole model, about 73GB loaded per box, with the chip inside pinned near the limit at 96%. Both boxes work as one and keep trading data over the cable, with no cloud in the loop and no single word leaking out. The ready model sits on one local address, and any app on his network calls it as easily as ChatGPT. And here is how he described, in plain words, what this pair of boxes does: "this is a pair of boxes that holds the huge Qwen3-235B model and serves it to one network. the model is split in half, and each box owns its half. parts: // Box 1 (holds the first half of the model and starts the answer fast, the first word appears in under a second) // Box 2 (holds the second half and writes out the rest, about 10 tokens a second) // Cable (connects the 2 boxes and moves data between them on every step, with no lag) // Address (one local address where any app sends its request, like to a cloud model) // Test (a script that runs big prompts through and measures speed and delays) // Monitor (checks temperature, power draw, and load on both boxes every 2 seconds). the model never goes to the cloud. he only steps in when a box runs hotter than 80 degrees or the cable between them starts dropping data." So the system knows exactly what it is, what it is for, and where its limits are. It knows it has to hold the whole huge model across 2 boxes on its own. It knows it has to answer every request locally, with no meter, no limits, and no internet. It knows the human is only needed when a box overheats or the link between them stalls. → The setup runs around the clock on 2 boxes, each pulling under 60 watts → However many requests he sends, the monthly bill is $0, only electricity → The first box starts the answer in under a second → The second writes text at about 10 tokens a second → One request at a time: 838 tokens in 85 seconds, first word in 0.8s → Two requests at once: 697 tokens in 108 seconds, first word in 0.7s → Both boxes sit at 96% load and warm up to 76-78 degrees And only when a chip in a box runs hotter than 80 degrees or the cable between the 2 Sparks drops data does the system call the owner. And when he himself is out on a run or in a coffee shop, he still reaches his own model at home from his phone: sends a big prompt to the local Qwen3-235B, gets the full answer back in under a minute and a half, with no token meter ticking and no limit to hit. Here is what the test shows on his screen during one of the night runs: "one request at a time: 838 tokens in 84.9 seconds, first word in 0.8s, then 0.1s per token." "two requests at once: 697 tokens in 107.6 seconds, first word in 0.7s, then 0.15s per token." "Box 1: chip at 96% load, 76 degrees, 56 watts, 73GB used in memory." "Box 2: chip at 96% load, 78 degrees, 56 watts, the Qwen3-235B model fully loaded." And while everyone around is paying for AI by the month and bumping into limits, his top-tier model just sits on the desk and works as much as he wants: his own little power plant instead of a forever meter. He has no server rack of his own and no cloud account behind it. Just 2 DGX Spark boxes on a desk, one model split in half between them, one local address, and a folder of prompts next to it. Out of everything I have seen this year, this is the cleanest way to stop paying for AI: $5,998 of hardware on the desk once, $0 a month to the cloud, unlimited forever, and between them 2 gold boxes, 1 cable, and the full Qwen3-235B answering at home with no internet.

This Chinese developer linked two $2,999 NVIDIA DGX Sparks into one box and runs the full Qwen3-235B at home, after dropping his $1,999-a-month cloud bill to zero. He wired 2 small boxes into a single computer, split a giant 235-billion-parameter model in half between them, and serves it across his own network at about 10 tokens a second, with no internet, no cloud, right there on the desk. No data center, no thousand-dollar graphics cards, no monthly cloud bill. Just him, 2 gold boxes the size of a sandwich, one cable between them, and 1 power strip. And here is the whole payoff. He used to pay the cloud $1,999 a month for the same model, and the meter ticked on every request. Now he paid $5,998 once for 2 boxes, they covered their cost in 3 months, and after that he sends as many requests as he wants for free, only electricity. The two Sparks talk over one fast cable, each holds 128GB of memory, and together they carry the whole model, about 73GB loaded per box, with the chip inside pinned near the limit at 96%. Both boxes work as one and keep trading data over the cable, with no cloud in the loop and no single word leaking out. The ready model sits on one local address, and any app on his network calls it as easily as ChatGPT. And here is how he described, in plain words, what this pair of boxes does: "this is a pair of boxes that holds the huge Qwen3-235B model and serves it to one network. the model is split in half, and each box owns its half. parts: // Box 1 (holds the first half of the model and starts the answer fast, the first word appears in under a second) // Box 2 (holds the second half and writes out the rest, about 10 tokens a second) // Cable (connects the 2 boxes and moves data between them on every step, with no lag) // Address (one local address where any app sends its request, like to a cloud model) // Test (a script that runs big prompts through and measures speed and delays) // Monitor (checks temperature, power draw, and load on both boxes every 2 seconds). the model never goes to the cloud. he only steps in when a box runs hotter than 80 degrees or the cable between them starts dropping data." So the system knows exactly what it is, what it is for, and where its limits are. It knows it has to hold the whole huge model across 2 boxes on its own. It knows it has to answer every request locally, with no meter, no limits, and no internet. It knows the human is only needed when a box overheats or the link between them stalls. → The setup runs around the clock on 2 boxes, each pulling under 60 watts → However many requests he sends, the monthly bill is $0, only electricity → The first box starts the answer in under a second → The second writes text at about 10 tokens a second → One request at a time: 838 tokens in 85 seconds, first word in 0.8s → Two requests at once: 697 tokens in 108 seconds, first word in 0.7s → Both boxes sit at 96% load and warm up to 76-78 degrees And only when a chip in a box runs hotter than 80 degrees or the cable between the 2 Sparks drops data does the system call the owner. And when he himself is out on a run or in a coffee shop, he still reaches his own model at home from his phone: sends a big prompt to the local Qwen3-235B, gets the full answer back in under a minute and a half, with no token meter ticking and no limit to hit. Here is what the test shows on his screen during one of the night runs: "one request at a time: 838 tokens in 84.9 seconds, first word in 0.8s, then 0.1s per token." "two requests at once: 697 tokens in 107.6 seconds, first word in 0.7s, then 0.15s per token." "Box 1: chip at 96% load, 76 degrees, 56 watts, 73GB used in memory." "Box 2: chip at 96% load, 78 degrees, 56 watts, the Qwen3-235B model fully loaded." And while everyone around is paying for AI by the month and bumping into limits, his top-tier model just sits on the desk and works as much as he wants: his own little power plant instead of a forever meter. He has no server rack of his own and no cloud account behind it. Just 2 DGX Spark boxes on a desk, one model split in half between them, one local address, and a folder of prompts next to it. Out of everything I have seen this year, this is the cleanest way to stop paying for AI: $5,998 of hardware on the desk once, $0 a month to the cloud, unlimited forever, and between them 2 gold boxes, 1 cable, and the full Qwen3-235B answering at home with no internet.

Blaze

93,871 görüntüleme • 2 ay önce

Kled Version 3 is coming. Over $20M+ in rewards will be paid directly to users from leading AI labs across robotics, legal services, image and video generation, world modeling, and more. In the last seven days, we’ve received inbound data requests from several decacorn AI labs and enterprises for datasets our human data marketplace is uniquely positioned to provide. Since receiving the specs for these requests, we now have a much better picture and understanding of how to reshape the systems that collect this data, so here’s what’s coming: 1. A fully redesigned home experience: The home feed is being rebuilt to surface the highest-value, most relevant tasks for each user, similar to how Uber Eats surfaces top restaurants. The goal is to turn every user into their most effective version as a data contributor. 2. Automated quality enforcement at scale: New ML systems are being built to evaluate task-specific requirements in real time. For example, if a task requires “two hands visible on camera at all times,” any video that fails that spec will be automatically rejected. This logic will apply across thousands of tasks and specifications using a general ML. 3. Kled Shop: Some tasks require better capture hardware. We’re introducing Kled Shop, where users can redeem points or tokens for equipment like Meta glasses, drones, and other tools. Points and tokens can be converted directly from payouts. 4. Partner-run data labeling and evaluation work: Some of our partners operate high-paying data labeling and model evaluation programs. We’re integrating their workflows directly into Kled so qualified users can access these roles in one place. These jobs are owned and managed by our partners. Kled’s role is to route the right people to the right work. Some opportunities pay $50–$1,000 per hour depending on expertise. 5. Global payouts and localization: We’re partnering with a major payment processor to enable cashouts in users’ native currencies. This unlocks broader global participation. Multi-language support is also coming to accelerate user growth. This full suite of tools will be rolling out soon, directly to Kled users. Top earners are currently making ~$7,000 per month. With this update, we should see the first ~$10,000 per month earner.

Kled Version 3 is coming. Over $20M+ in rewards will be paid directly to users from leading AI labs across robotics, legal services, image and video generation, world modeling, and more. In the last seven days, we’ve received inbound data requests from several decacorn AI labs and enterprises for datasets our human data marketplace is uniquely positioned to provide. Since receiving the specs for these requests, we now have a much better picture and understanding of how to reshape the systems that collect this data, so here’s what’s coming: 1. A fully redesigned home experience: The home feed is being rebuilt to surface the highest-value, most relevant tasks for each user, similar to how Uber Eats surfaces top restaurants. The goal is to turn every user into their most effective version as a data contributor. 2. Automated quality enforcement at scale: New ML systems are being built to evaluate task-specific requirements in real time. For example, if a task requires “two hands visible on camera at all times,” any video that fails that spec will be automatically rejected. This logic will apply across thousands of tasks and specifications using a general ML. 3. Kled Shop: Some tasks require better capture hardware. We’re introducing Kled Shop, where users can redeem points or tokens for equipment like Meta glasses, drones, and other tools. Points and tokens can be converted directly from payouts. 4. Partner-run data labeling and evaluation work: Some of our partners operate high-paying data labeling and model evaluation programs. We’re integrating their workflows directly into Kled so qualified users can access these roles in one place. These jobs are owned and managed by our partners. Kled’s role is to route the right people to the right work. Some opportunities pay $50–$1,000 per hour depending on expertise. 5. Global payouts and localization: We’re partnering with a major payment processor to enable cashouts in users’ native currencies. This unlocks broader global participation. Multi-language support is also coming to accelerate user growth. This full suite of tools will be rolling out soon, directly to Kled users. Top earners are currently making ~$7,000 per month. With this update, we should see the first ~$10,000 per month earner.

Avi Patel

124,728 görüntüleme • 7 ay önce

Micron will be a $4,000 stock and here is why (Save this). As Sanjay Mehrotra puts it "We are only in the early innings of the significant innovation and productivity that can be unleashed in every part of the global economy over time." That is a roadmap and the math behind it points toward something most investors still haven't fully priced in. Q4 revenue guidance came in at $50 billion nearly $7 billion above what Wall Street was expecting for a single quarter. That number alone would have been Micron's entire annual revenue just two years ago and yet data centers are only the first chapter of this story. Mehrotra specifically called out robotics, humanoids, and fully autonomous vehicles as the next demand wave on tonight's call and the numbers behind those markets are genuinely staggering. A Level 4 autonomous vehicle requires over 300GB of DRAM, nearly 20 times more than a standard car today in every single vehicle that rolls off the assembly line. A humanoid robot will require between 64 and 128GB of DRAM and up to 2TB of NAND storage per unit, giving each one a memory footprint comparable to a high end server. There are projections for tens of millions of humanoid robots and hundreds of millions of autonomous vehicles over the next decade, and every single one of them runs on Micron memory. Mehrotra said directly tonight that tight supply conditions are expected to persist beyond calendar 2027 and even with aggressive capital spending Micron can only meet 50 to 67% of medium-term customer demand. Competitors new capacity will not meaningfully come online until late 2027 at the earliest, meaning the pricing environment Micron operates in today has years left to run. There was also 16 Strategic Customer Agreements with $100 billion in minimum committed revenue and $22 billion in customer cash deposits already paid, mean that even when the cycle eventually softens, Micron's floor has been permanently reset at a level no prior version of this company ever reached. Gross margins contractually protected above any peak in the company's prior history, locked through 2030, across half or more of total revenue and that is not a commodity business anymore. Bullish on memory. Follow Melvin for more AI, semis, and the next big market themes.

Micron will be a $4,000 stock and here is why (Save this). As Sanjay Mehrotra puts it "We are only in the early innings of the significant innovation and productivity that can be unleashed in every part of the global economy over time." That is a roadmap and the math behind it points toward something most investors still haven't fully priced in. Q4 revenue guidance came in at $50 billion nearly $7 billion above what Wall Street was expecting for a single quarter. That number alone would have been Micron's entire annual revenue just two years ago and yet data centers are only the first chapter of this story. Mehrotra specifically called out robotics, humanoids, and fully autonomous vehicles as the next demand wave on tonight's call and the numbers behind those markets are genuinely staggering. A Level 4 autonomous vehicle requires over 300GB of DRAM, nearly 20 times more than a standard car today in every single vehicle that rolls off the assembly line. A humanoid robot will require between 64 and 128GB of DRAM and up to 2TB of NAND storage per unit, giving each one a memory footprint comparable to a high end server. There are projections for tens of millions of humanoid robots and hundreds of millions of autonomous vehicles over the next decade, and every single one of them runs on Micron memory. Mehrotra said directly tonight that tight supply conditions are expected to persist beyond calendar 2027 and even with aggressive capital spending Micron can only meet 50 to 67% of medium-term customer demand. Competitors new capacity will not meaningfully come online until late 2027 at the earliest, meaning the pricing environment Micron operates in today has years left to run. There was also 16 Strategic Customer Agreements with $100 billion in minimum committed revenue and $22 billion in customer cash deposits already paid, mean that even when the cycle eventually softens, Micron's floor has been permanently reset at a level no prior version of this company ever reached. Gross margins contractually protected above any peak in the company's prior history, locked through 2030, across half or more of total revenue and that is not a commodity business anymore. Bullish on memory. Follow Melvin for more AI, semis, and the next big market themes.

Melvin

35,969 görüntüleme • 2 ay önce