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Our recent work in nature, MouseMapper uses foundation-model AI, mapping perturbations in mouse body cell-by-cell, revealed unexpected facial nerve damage. Proud to see >75K accesses & >60 news stories in the first week. next come>

Ali Max Erturk

90,601 subscribers

31,881 次观看 • 1 个月前 •via X (Twitter)

健康养生科学技术

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True, even a two DOF system can exhibit chaotic behavior, and a single cell is an at least an ~10^7 DOF system (i.e., protein molecules per cell). I still fail to properly convey to others the insane complexity I see in our microscopes, and why successes like AlphaFold only work because of the huge number of unnatural constraints placed on the training data. Case in point (below): lysosome dynamics over 12 min across a 200 x 70 um region in the head of a developing zebrafish embryo, color-coded by depth -- just one of 20k proteins at work. Our Cell Observatory Initiative is more important than ever, but while we have petabytes of the most mind-blowing data ever, we are still hamstrung by insufficient AI talent and compute -- two resources in great demand everywhere. If anyone can help us over this hurdle, we'd be eternally grateful.

True, even a two DOF system can exhibit chaotic behavior, and a single cell is an at least an ~10^7 DOF system (i.e., protein molecules per cell). I still fail to properly convey to others the insane complexity I see in our microscopes, and why successes like AlphaFold only work because of the huge number of unnatural constraints placed on the training data. Case in point (below): lysosome dynamics over 12 min across a 200 x 70 um region in the head of a developing zebrafish embryo, color-coded by depth -- just one of 20k proteins at work. Our Cell Observatory Initiative is more important than ever, but while we have petabytes of the most mind-blowing data ever, we are still hamstrung by insufficient AI talent and compute -- two resources in great demand everywhere. If anyone can help us over this hurdle, we'd be eternally grateful.

Eric Betzig

29,666 次观看 • 4 个月前

Always a thrill to see customer results like this. Perplexity is a pioneering generative AI startup that’s reimagining the future of search (catch their app in action below). They accelerated their foundation model training up to 40% using Amazon SageMaker HyperPod. And by deploying models on our best-in-class infrastructure, they’re able to handle over 100k queries per hour without compromising latency or the user experience. Proud to support innovators like Perplexity in pushing the boundaries of AI. Happy searching!

Always a thrill to see customer results like this. Perplexity is a pioneering generative AI startup that’s reimagining the future of search (catch their app in action below). They accelerated their foundation model training up to 40% using Amazon SageMaker HyperPod. And by deploying models on our best-in-class infrastructure, they’re able to handle over 100k queries per hour without compromising latency or the user experience. Proud to support innovators like Perplexity in pushing the boundaries of AI. Happy searching!

Adam Selipsky

20,479 次观看 • 2 年前

E11 Bio is excited to unveil PRISM technology for mapping brain wiring with simple light microscopes. Today, brain mapping in humans and other mammals is bottlenecked by accurate neuron tracing. PRISM uses molecular ID codes and AI to help neurons trace themselves. We discovered a new cell barcoding approach exceeding comparable methods by more than 750x. This is the heart of PRISM. We integrated this capability with microscopy and AI image analysis to automatically trace neurons at high resolution and annotate them with molecular features. This is a key advance towards economically viable brain mapping - 95% of costs stem from neuron tracing. It is also an important step towards democratizing neuron tracing for everyday neuroscience. Solving these problems is critical for curing brain disorders, building safer and human-like AI, and even simulating brain function. In our first pilot study, we acquired a unique dataset in mouse hippocampus. Barcodes improved the accuracy of tracing genetically labelled neurons by 8x – with a clear path to 100x or more. They also permit tracing across spatial gaps – essential for mitigating tissue section loss in whole-brain scaling. Using molecular annotation, we uncover an intriguing feature of synaptic organization, demonstrating how PRISM can be used for systematic discovery 🧵

E11 Bio is excited to unveil PRISM technology for mapping brain wiring with simple light microscopes. Today, brain mapping in humans and other mammals is bottlenecked by accurate neuron tracing. PRISM uses molecular ID codes and AI to help neurons trace themselves. We discovered a new cell barcoding approach exceeding comparable methods by more than 750x. This is the heart of PRISM. We integrated this capability with microscopy and AI image analysis to automatically trace neurons at high resolution and annotate them with molecular features. This is a key advance towards economically viable brain mapping - 95% of costs stem from neuron tracing. It is also an important step towards democratizing neuron tracing for everyday neuroscience. Solving these problems is critical for curing brain disorders, building safer and human-like AI, and even simulating brain function. In our first pilot study, we acquired a unique dataset in mouse hippocampus. Barcodes improved the accuracy of tracing genetically labelled neurons by 8x – with a clear path to 100x or more. They also permit tracing across spatial gaps – essential for mitigating tissue section loss in whole-brain scaling. Using molecular annotation, we uncover an intriguing feature of synaptic organization, demonstrating how PRISM can be used for systematic discovery 🧵

Andrew Payne

112,064 次观看 • 9 个月前

AI will kill Polymarket. $2.2M in 2 months using probability models. This news is going to blow up the internet. Polymarket trader made $2.2M in just 2 months using AI. His account is traded entirely by a bot. I’ve heard plenty of stories about AI trading bots before, and almost all of them turned out to be scams or didn’t work properly. But this case is different and honestly I’m shocked. He uses AI probability models, training machine learning to estimate real odds based on news and social media data. If his model says an outcome has a 60% chance, while the market prices it at 50% (50¢), he buys because the market is mispricing it. According to his profile: > His prediction accuracy is 74%. That’s insane. He runs an ensemble of 10 AI models that retrain themselves every week to stay up to date. What do you think about this? This feels like the new reality.

igorizuchaetcrypty

509,887 次观看 • 6 个月前

🚀 Meet AI Staking 3000 — The First AI-talking Smart Contract Not just staking — a whole new experience: ✅ Stake $GTAI in seconds 💬 Chat directly with the AI smart contract — it speaks! 🎰 Boost your yield with spins every 8 hours — up to +50% in 60 days. No spins left? Share with a friend — get +3 extra spins instantly. By staking $GTAI, you unlock premium features across the GT Protocol ecosystem — available only to holders. 👉 Try it now 👉 #AIStaking3000 #GTProtocol #Web3 #TalkingSmartContract

🚀 Meet AI Staking 3000 — The First AI-talking Smart Contract Not just staking — a whole new experience: ✅ Stake $GTAI in seconds 💬 Chat directly with the AI smart contract — it speaks! 🎰 Boost your yield with spins every 8 hours — up to +50% in 60 days. No spins left? Share with a friend — get +3 extra spins instantly. By staking $GTAI, you unlock premium features across the GT Protocol ecosystem — available only to holders. 👉 Try it now 👉 #AIStaking3000 #GTProtocol #Web3 #TalkingSmartContract

GT Protocol

68,906 次观看 • 1 年前

As the storms rocket into D.C. this afternoon & tonight, please know that this was by design, with the foundation being laid for well over a week. First they peppered the entire U.S. with military contractors to ensure record temps & humidity. That provided the matter in the air that allows them to use NEXRADs and DEWs to create, steer, and intensity storms. Here's Lincoln, IL's NEXRAD this afternoon. It was juiced up by all the spraying of nanoparticles and use of DEWs. The blue dot tentacles of this (and every NEXRAD) extend well beyond the 100 nautical miles shown as the outer circle. Here, I zero in on the upper left quadrant to show in slow motion as the line of storms are created. The storm cell will emerge only if there is a blue dot (part of the NEXRAD). See for yourself at There, you can watch as whoever has control of these systems deliberately ruins our 250th year celebration. They hate us. They are our enemy.

As the storms rocket into D.C. this afternoon & tonight, please know that this was by design, with the foundation being laid for well over a week. First they peppered the entire U.S. with military contractors to ensure record temps & humidity. That provided the matter in the air that allows them to use NEXRADs and DEWs to create, steer, and intensity storms. Here's Lincoln, IL's NEXRAD this afternoon. It was juiced up by all the spraying of nanoparticles and use of DEWs. The blue dot tentacles of this (and every NEXRAD) extend well beyond the 100 nautical miles shown as the outer circle. Here, I zero in on the upper left quadrant to show in slow motion as the line of storms are created. The storm cell will emerge only if there is a blue dot (part of the NEXRAD). See for yourself at There, you can watch as whoever has control of these systems deliberately ruins our 250th year celebration. They hate us. They are our enemy.

John's Mom, God's Child, Saved through Christ

101,437 次观看 • 12 天前

Month 1: $0 Month 2: $0 Month 3: $205 Month 4: 50,532 This is what actually happens when you stop overthinking and start a faceless YouTube channel the right way. Most people quit in the first 60 days because they see zero results and assume it doesn’t work. But the ones who push through the first two months with consistency usually see their first real payout in month 3. Here’s the simple system that makes this possible: Step 1: Pick one proven niche (history, facts, motivation, or luxury) and stick to it. Step 2: Use AI to generate 30 video ideas in one sitting so you never run out of content. Step 3: Outsource or use AI to create the videos (script + voice + editing) so you can upload consistently without burning out. Step 4: Upload 3–5 videos per week and stay consistent for 90 days without checking analytics every day. The first two months are almost always quiet. The third month is where most people either quit or finally get paid. If you’re willing to be patient for 90 days, this model still works extremely well in 2026. Watch the full breakdown in the video.

Month 1: $0 Month 2: $0 Month 3: $205 Month 4: 50,532 This is what actually happens when you stop overthinking and start a faceless YouTube channel the right way. Most people quit in the first 60 days because they see zero results and assume it doesn’t work. But the ones who push through the first two months with consistency usually see their first real payout in month 3. Here’s the simple system that makes this possible: Step 1: Pick one proven niche (history, facts, motivation, or luxury) and stick to it. Step 2: Use AI to generate 30 video ideas in one sitting so you never run out of content. Step 3: Outsource or use AI to create the videos (script + voice + editing) so you can upload consistently without burning out. Step 4: Upload 3–5 videos per week and stay consistent for 90 days without checking analytics every day. The first two months are almost always quiet. The third month is where most people either quit or finally get paid. If you’re willing to be patient for 90 days, this model still works extremely well in 2026. Watch the full breakdown in the video.

Frogify

45,475 次观看 • 22 天前

💬 We get asked What should I do if I don’t have my own trading ideas yet? ❕ Answer from a GT App Specialist: You don’t need to be a professional strategist to start trading. GT App’s AI layer generates new strategy ideas every day that you can immediately explore and test. 🔸 Daily AI-generated strategies Advanced LLMs build fresh trading strategies daily. The LLM Builder creates complete strategy setups that you can instantly optimize to see how they would have performed. 🔸 Pick and test in seconds Inside the app you’ll find AI strategy cards labeled by the LLM that generated them. Select a strategy, run an optimization, and instantly review metrics like win rate, trade history, and profit performance. 🔸 Or build a strategy directly in Telegram You can also generate and test strategies through our Telegram bot. Just open @gt_ai_trading_bot, request a strategy for a trading pair, and the AI will build and backtest it for you. Explore AI-generated strategies 👉

💬 We get asked What should I do if I don’t have my own trading ideas yet? ❕ Answer from a GT App Specialist: You don’t need to be a professional strategist to start trading. GT App’s AI layer generates new strategy ideas every day that you can immediately explore and test. 🔸 Daily AI-generated strategies Advanced LLMs build fresh trading strategies daily. The LLM Builder creates complete strategy setups that you can instantly optimize to see how they would have performed. 🔸 Pick and test in seconds Inside the app you’ll find AI strategy cards labeled by the LLM that generated them. Select a strategy, run an optimization, and instantly review metrics like win rate, trade history, and profit performance. 🔸 Or build a strategy directly in Telegram You can also generate and test strategies through our Telegram bot. Just open @gt_ai_trading_bot, request a strategy for a trading pair, and the AI will build and backtest it for you. Explore AI-generated strategies 👉

GT Protocol

32,277 次观看 • 4 个月前

The bacterial flagellum looks like a simple tail, or whip. But it’s actually a rotating motor, and perhaps the most sophisticated protein complex nature has ever evolved. In e. coli, these motors are capable of astonishing speeds; about 15,000 rpm. (The world record, according to one study, is for a Vibrio cell that was “clocked at 100,000 rpm by laser microscopy.) The flagellum propels the cell forward at speeds of 20-30 microns per second, or roughly 15 body lengths per second. If scaled up to the size of a cheetah, E. coli would *nearly* be the fastest land organism. The darting movements of a microbe were first observed in 1676 by Antony van Leeuwenhoek, a Dutch cloth merchant. Antony was delighted by the motion of his “animalcules,” writing: “I must say, for my part, that no more pleasant sight has ever yet come before my eye than these many thousands of living creatures, seen all alive in a little drop of water, moving among one another, each several creature having its own proper motion.” But Leeuwenhoek did not see flagella. He assumed, rather, that these animalcules must be “furnished with paws” instead. Christian Ehrenberg would not properly describe flagella until 1836. But amazingly, all the way up until the 1970s, nobody actually knew how the flagellum spun! In 1973, there were two competing models people argued over: the helical-wave (bending) model and the rotating (corkscrew) model. The first model suggested that the flagellum whipped back and forth, side-to-side, to propel the cell like paddle. The corkscrew model suggested that the whole flagellum instead spins around like a screw. In 1974, the corkscrew model finally won out. For two separate studies, scientists affixed flagella to glass slides using antibodies, and watched as the cells spun around and around like corkscrews. And finally, in just the last year, high-resolution structures of the flagellum have revealed a LOT more about its intricate assembly. The tail is made from ~20,000 self-assembling copies of a single protein, called flagellin. A “driveshaft,” or rod, spins the tail and is itself made of 26 protein subunits. Each “motor” in E. coli consists of 11 stators, each of which is made from 7 proteins.(Other types of cells have even more stators, and swim with much higher torques.) The flagellum spins when protons flow into the cell through tiny channels in these stators; akin to water running through a turbine. Each proton makes a small part of the stator change shape and push against the rotor, nudging it forward one step. With dozens of stators working at once, these nudges quickly spin the propeller. I'm writing an essay for Asimov Press about this now, and am really enjoying learning about the flagellum and its history. It's an extraordinarily complicated structure, though, and has been a challenge to understand!

The bacterial flagellum looks like a simple tail, or whip. But it’s actually a rotating motor, and perhaps the most sophisticated protein complex nature has ever evolved. In e. coli, these motors are capable of astonishing speeds; about 15,000 rpm. (The world record, according to one study, is for a Vibrio cell that was “clocked at 100,000 rpm by laser microscopy.) The flagellum propels the cell forward at speeds of 20-30 microns per second, or roughly 15 body lengths per second. If scaled up to the size of a cheetah, E. coli would nearly be the fastest land organism. The darting movements of a microbe were first observed in 1676 by Antony van Leeuwenhoek, a Dutch cloth merchant. Antony was delighted by the motion of his “animalcules,” writing: “I must say, for my part, that no more pleasant sight has ever yet come before my eye than these many thousands of living creatures, seen all alive in a little drop of water, moving among one another, each several creature having its own proper motion.” But Leeuwenhoek did not see flagella. He assumed, rather, that these animalcules must be “furnished with paws” instead. Christian Ehrenberg would not properly describe flagella until 1836. But amazingly, all the way up until the 1970s, nobody actually knew how the flagellum spun! In 1973, there were two competing models people argued over: the helical-wave (bending) model and the rotating (corkscrew) model. The first model suggested that the flagellum whipped back and forth, side-to-side, to propel the cell like paddle. The corkscrew model suggested that the whole flagellum instead spins around like a screw. In 1974, the corkscrew model finally won out. For two separate studies, scientists affixed flagella to glass slides using antibodies, and watched as the cells spun around and around like corkscrews. And finally, in just the last year, high-resolution structures of the flagellum have revealed a LOT more about its intricate assembly. The tail is made from ~20,000 self-assembling copies of a single protein, called flagellin. A “driveshaft,” or rod, spins the tail and is itself made of 26 protein subunits. Each “motor” in E. coli consists of 11 stators, each of which is made from 7 proteins.(Other types of cells have even more stators, and swim with much higher torques.) The flagellum spins when protons flow into the cell through tiny channels in these stators; akin to water running through a turbine. Each proton makes a small part of the stator change shape and push against the rotor, nudging it forward one step. With dozens of stators working at once, these nudges quickly spin the propeller. I'm writing an essay for Asimov Press about this now, and am really enjoying learning about the flagellum and its history. It's an extraordinarily complicated structure, though, and has been a challenge to understand!

Niko McCarty.

51,893 次观看 • 10 个月前

Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:

Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:

Shishir

13,547 次观看 • 11 个月前

Seeing all of the little details really come together is one of those very special and magical moments of video game creation. I love how this cinematic shot from No Rest for the Wicked's opening really came to life with beautiful stylized hand crafted hair and facial animation, striking visual effects with fluid simulation, beautiful set, ship sails flapping against the wind animated by our custom made cloth solver, painterly golden rim lighting and all of this running in our custom Moonity engine in real-time. And of course there's so much more with our story, sound and music for you all to experience! Couldn’t be more proud to work alongside such a world class team at Moon Studios and stoked to see where our April 18th Early Access launch will go from here!

Seeing all of the little details really come together is one of those very special and magical moments of video game creation. I love how this cinematic shot from No Rest for the Wicked's opening really came to life with beautiful stylized hand crafted hair and facial animation, striking visual effects with fluid simulation, beautiful set, ship sails flapping against the wind animated by our custom made cloth solver, painterly golden rim lighting and all of this running in our custom Moonity engine in real-time. And of course there's so much more with our story, sound and music for you all to experience! Couldn’t be more proud to work alongside such a world class team at Moon Studios and stoked to see where our April 18th Early Access launch will go from here!

Gennadiy Korol

179,204 次观看 • 2 年前

I'm proud to share that Glean has surpassed $300M ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading. We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems. That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI. That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions. It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year. And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency. I enjoyed talking with CNBC's Deirdre Bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context. Thank you to our customers, partners, and team for helping us build the future of enterprise AI.

I'm proud to share that Glean has surpassed $300M ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading. We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems. That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI. That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions. It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year. And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency. I enjoyed talking with CNBC's Deirdre Bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context. Thank you to our customers, partners, and team for helping us build the future of enterprise AI.

Arvind Jain

279,535 次观看 • 1 个月前

Long Announcement (but there's a discount code at the end, it's worth it🤣) Back in 2016, when my son Aaron (then just 11 years old) invented the numeric damage counters and we decided to put it in production, our mission was clear: make tracking damage in the Pokémon TCG fast, easy, and accurate. By displaying exact values, players could simply add the numbers without second-guessing. This approach proved so effective that Pokémon themselves adopted this system for their Worlds dice at the 2018 Nashville Championships (read: they totally copied us 😆). And the rest is history💪 Now with this new menace Grimmsnarl ex — where damage constantly shifts turn by turn — clear and quick damage tracking has never been more essential. - In the first photo, Munki is at 10 damage and Grimmsnarl ex at 70 — all displayed using just one numeric counter each. And that's the beauty of numeric damage counter, just 1 damage counter 95% of the time takes care of what you need to display - In the video, you’ll see how easy it is to update damage. No need to pick it up and fumbling for the next number — Just identify the next number you need and rotate to it. -Still prefer D6 dice? That’s cool — some players do out of habit. But once damage hits 60+, you'll need two dice to show the total, whereas numeric counters still get it done with one. (If you're sticking with D6, check out our Drilled D6s — hands down the most stunning dice you'll find. Totally unbiased opinion, of course 😆) - Compare our design with the Pokémon ETB counters in the last photo — by design our counters increase in size with the number for quick visual clarity. Plus, since each one is precisely machined from billet aluminum, they stand firm and resist rolling, even when the cards are being moved. Still on the fence? No worries — we’ve got two great reasons to try them: 🔸 Use code marnie18 for 18% off your entire order when you include any damage counter set. 🔸 And enjoy a 30-day, no-questions-asked, money-back guarantee. If you don’t love them, just send them back. Clearer play. Cleaner board. Smarter counters. 👉 What are you waiting for?

Long Announcement (but there's a discount code at the end, it's worth it🤣) Back in 2016, when my son Aaron (then just 11 years old) invented the numeric damage counters and we decided to put it in production, our mission was clear: make tracking damage in the Pokémon TCG fast, easy, and accurate. By displaying exact values, players could simply add the numbers without second-guessing. This approach proved so effective that Pokémon themselves adopted this system for their Worlds dice at the 2018 Nashville Championships (read: they totally copied us 😆). And the rest is history💪 Now with this new menace Grimmsnarl ex — where damage constantly shifts turn by turn — clear and quick damage tracking has never been more essential. - In the first photo, Munki is at 10 damage and Grimmsnarl ex at 70 — all displayed using just one numeric counter each. And that's the beauty of numeric damage counter, just 1 damage counter 95% of the time takes care of what you need to display - In the video, you’ll see how easy it is to update damage. No need to pick it up and fumbling for the next number — Just identify the next number you need and rotate to it. -Still prefer D6 dice? That’s cool — some players do out of habit. But once damage hits 60+, you'll need two dice to show the total, whereas numeric counters still get it done with one. (If you're sticking with D6, check out our Drilled D6s — hands down the most stunning dice you'll find. Totally unbiased opinion, of course 😆) - Compare our design with the Pokémon ETB counters in the last photo — by design our counters increase in size with the number for quick visual clarity. Plus, since each one is precisely machined from billet aluminum, they stand firm and resist rolling, even when the cards are being moved. Still on the fence? No worries — we’ve got two great reasons to try them: 🔸 Use code marnie18 for 18% off your entire order when you include any damage counter set. 🔸 And enjoy a 30-day, no-questions-asked, money-back guarantee. If you don’t love them, just send them back. Clearer play. Cleaner board. Smarter counters. 👉 What are you waiting for?

TC Evolutions

21,945 次观看 • 1 年前

Brazil Week 2.0: The Return to the Frontier 🇧🇷👁️⚡ O enxame está de volta! By popular demand, the UpRock World Tour returns to one of our most powerful hubs. Brazil was so loud the first time, we had to come back to close out May in style. From the streets of Rio to the tech hubs of São Paulo, the signal is stronger than ever. This week in the Swarm (Vol. 2): → 2× Rewards: We're doubling down. Earn 2× rewards all week across the region to celebrate the return. → New Skill: Semantic Video Search: Last time we were here, we were reading the web. This time, we’re watching it. We’re highlighting our multimodal AI—powered by the very devices you're running in Brazil. → The 🇧🇷 Roll Call: Can Brazil break its own record? Join the next livestream for a massive community spotlight. → Secure the Frontier: Tag your Brazilian frens—onboard your circle and secure your 1% lifetime kickback. → Share Your View: Show us how the swarm has grown since our last visit. (Home, campus, or those legendary beach views). Round 2. Bigger energy. Multimodal intelligence. Represent your flag. Fuel the Insight Economy. Dates: May 25-31 UpRock World Tour — Powered by UPT

Brazil Week 2.0: The Return to the Frontier 🇧🇷👁️⚡ O enxame está de volta! By popular demand, the UpRock World Tour returns to one of our most powerful hubs. Brazil was so loud the first time, we had to come back to close out May in style. From the streets of Rio to the tech hubs of São Paulo, the signal is stronger than ever. This week in the Swarm (Vol. 2): → 2× Rewards: We're doubling down. Earn 2× rewards all week across the region to celebrate the return. → New Skill: Semantic Video Search: Last time we were here, we were reading the web. This time, we’re watching it. We’re highlighting our multimodal AI—powered by the very devices you're running in Brazil. → The 🇧🇷 Roll Call: Can Brazil break its own record? Join the next livestream for a massive community spotlight. → Secure the Frontier: Tag your Brazilian frens—onboard your circle and secure your 1% lifetime kickback. → Share Your View: Show us how the swarm has grown since our last visit. (Home, campus, or those legendary beach views). Round 2. Bigger energy. Multimodal intelligence. Represent your flag. Fuel the Insight Economy. Dates: May 25-31 UpRock World Tour — Powered by UPT

UpRock

1,065,928 次观看 • 1 个月前

Exactly 2 months and 1 day ago I arrived as a SAFugee in Utah. “The best and most beautiful things in the world cannot be seen or even touched - they must be felt with the heart.“ — Helen Keller I have spent endless hours trying to find the words to describe what we experienced being here on the 4th of July 2026, and still the words simply cannot describe the emotions, pride, heartbreak and heart’s joy of that day. Tooele wow! You stirred up every emotion. We spent the entire day. The parade being our first ever will never be forgotten. The energy, the passion and commitment to family, loyalty, bravery and this great nation was felt in our hearts as we watched endless pride for this nation by young and old. Thank you for saying in action what we feel - thank you for our freedom America. We recognise and honor that it is earned by those who gave their lives so you and I can live this free! And to describe that feeling ‘free’ in words is impossible. My heart and mind is full. My soul confirms that there is only one better feeling than this and that is in the presence of the Almighty Himself. I am still singing. Today exactly 2 months and 1 day ago I landed in this great country. And I am more proud and grateful everyday. Wow this week has been full of awesome stuff. We are officially official. Our Utah real ID’s arrived. Thank you US Postal Services, thank you Utah and thank you America! I have applied for about 60 posts in Utah before I became official. Maybe this next week will see some success. That what has been set aside for me will come. I believe it will.

Exactly 2 months and 1 day ago I arrived as a SAFugee in Utah. “The best and most beautiful things in the world cannot be seen or even touched - they must be felt with the heart.“ — Helen Keller I have spent endless hours trying to find the words to describe what we experienced being here on the 4th of July 2026, and still the words simply cannot describe the emotions, pride, heartbreak and heart’s joy of that day. Tooele wow! You stirred up every emotion. We spent the entire day. The parade being our first ever will never be forgotten. The energy, the passion and commitment to family, loyalty, bravery and this great nation was felt in our hearts as we watched endless pride for this nation by young and old. Thank you for saying in action what we feel - thank you for our freedom America. We recognise and honor that it is earned by those who gave their lives so you and I can live this free! And to describe that feeling ‘free’ in words is impossible. My heart and mind is full. My soul confirms that there is only one better feeling than this and that is in the presence of the Almighty Himself. I am still singing. Today exactly 2 months and 1 day ago I landed in this great country. And I am more proud and grateful everyday. Wow this week has been full of awesome stuff. We are officially official. Our Utah real ID’s arrived. Thank you US Postal Services, thank you Utah and thank you America! I have applied for about 60 posts in Utah before I became official. Maybe this next week will see some success. That what has been set aside for me will come. I believe it will.

MjustM

16,511 次观看 • 9 天前

STEVE-1: A Generative Model for Text-to-Behavior in Minecraft paper page: Constructing AI models that respond to text instructions is challenging, especially for sequential decision-making tasks. This work introduces an instruction-tuned Video Pretraining (VPT) model for Minecraft called STEVE-1, demonstrating that the unCLIP approach, utilized in DALL-E 2, is also effective for creating instruction-following sequential decision-making agents. STEVE-1 is trained in two steps: adapting the pretrained VPT model to follow commands in MineCLIP's latent space, then training a prior to predict latent codes from text. This allows us to finetune VPT through self-supervised behavioral cloning and hindsight relabeling, bypassing the need for costly human text annotations. By leveraging pretrained models like VPT and MineCLIP and employing best practices from text-conditioned image generation, STEVE-1 costs just $60 to train and can follow a wide range of short-horizon open-ended text and visual instructions in Minecraft. STEVE-1 sets a new bar for open-ended instruction following in Minecraft with low-level controls (mouse and keyboard) and raw pixel inputs, far outperforming previous baselines. We provide experimental evidence highlighting key factors for downstream performance, including pretraining, classifier-free guidance, and data scaling. All resources, including our model weights, training scripts, and evaluation tools are made available for further research.

STEVE-1: A Generative Model for Text-to-Behavior in Minecraft paper page: Constructing AI models that respond to text instructions is challenging, especially for sequential decision-making tasks. This work introduces an instruction-tuned Video Pretraining (VPT) model for Minecraft called STEVE-1, demonstrating that the unCLIP approach, utilized in DALL-E 2, is also effective for creating instruction-following sequential decision-making agents. STEVE-1 is trained in two steps: adapting the pretrained VPT model to follow commands in MineCLIP's latent space, then training a prior to predict latent codes from text. This allows us to finetune VPT through self-supervised behavioral cloning and hindsight relabeling, bypassing the need for costly human text annotations. By leveraging pretrained models like VPT and MineCLIP and employing best practices from text-conditioned image generation, STEVE-1 costs just $60 to train and can follow a wide range of short-horizon open-ended text and visual instructions in Minecraft. STEVE-1 sets a new bar for open-ended instruction following in Minecraft with low-level controls (mouse and keyboard) and raw pixel inputs, far outperforming previous baselines. We provide experimental evidence highlighting key factors for downstream performance, including pretraining, classifier-free guidance, and data scaling. All resources, including our model weights, training scripts, and evaluation tools are made available for further research.

AK

144,704 次观看 • 3 年前

Today, we're announcing a $60M Series B led by Battery Ventures, bringing our total funding to $85M in just under a year. Also joining the round are founders and operators who’ve built generational companies of the last two decades – tobi lutke (CEO, Shopify), arash ferdowsi (Dropbox), Claire Hughes Johnson (Stripe), and more. The round came together in 6 days. Here's why. Every major category in enterprise software is seeing multiple AI-native challengers. CRM, ERP, ITSM – all being rebuilt from scratch by a new generation of companies applying AI to solve persistent problems we couldn’t before. Employee Management (also known as HCM) is the exception. It’s the last frontier, and we believe the most important one. The operating layer to manage people, run payroll, benefits, compliance, and IT, for every company in the world, is still built on architecture that predates AI by decades. This fundraise is the story of how Warp is changing that. The average Warp customer is growing 5x faster than their peers, with 1/10th of the HR and admin overhead. We’re seeing a massive shift happening in how the best companies run their people operations. From the fastest-growing AI-startups to massive public companies, the winning teams are running lean: HR, finance, and ops generalists who automate as much as possible, and use their time instead for strategic work that AI can’t automate. Warp is the platform of choice for ambitious companies operating at this new pace. Legacy HCMs help humans track the work. Warp uses AI to proactively complete the work. Workday was built for the last era. We're building for the next one. And it’s working. We've – - Doubled ARR in Q1 - On track to $2B+ payroll volume this year - Signed enterprise customers with thousands of employees - Launched entire product lines back-to-back: Warp benefits brokerage and Warp Fabric (our AI-native IT automation suite built in-house). A few thank-yous: 1. Our customers, the fastest-growing companies in the world, who trust us with their most critical systems. We wouldn't be here without you. 2. Our team - 50+ people in NYC who've built this platform, taken on the hardest problems in business-critical software. We're just getting started. 3. Our investors doubling down in this round, and some of our earliest believers – Sound Ventures (ashton kutcher, Effie Epstein), Derek Grant, (Arnav Sahu), Harj Taggar at Y Combinator, Balaji, Kevin Hartz, Kyle Vogt, Amjad Masad, HOF Capital (Fady Yacoub), colinevans (OpenAI) We're here to arm ambitious American companies with Workday-grade power, but with the usability and delight of an Apple product. With this new funding, we plan to fund deeper AI agents, tax and compliance infrastructure, expand our product suite, and support even closely our fast-growing customers. Come join us.

Today, we're announcing a $60M Series B led by Battery Ventures, bringing our total funding to $85M in just under a year. Also joining the round are founders and operators who’ve built generational companies of the last two decades – tobi lutke (CEO, Shopify), arash ferdowsi (Dropbox), Claire Hughes Johnson (Stripe), and more. The round came together in 6 days. Here's why. Every major category in enterprise software is seeing multiple AI-native challengers. CRM, ERP, ITSM – all being rebuilt from scratch by a new generation of companies applying AI to solve persistent problems we couldn’t before. Employee Management (also known as HCM) is the exception. It’s the last frontier, and we believe the most important one. The operating layer to manage people, run payroll, benefits, compliance, and IT, for every company in the world, is still built on architecture that predates AI by decades. This fundraise is the story of how Warp is changing that. The average Warp customer is growing 5x faster than their peers, with 1/10th of the HR and admin overhead. We’re seeing a massive shift happening in how the best companies run their people operations. From the fastest-growing AI-startups to massive public companies, the winning teams are running lean: HR, finance, and ops generalists who automate as much as possible, and use their time instead for strategic work that AI can’t automate. Warp is the platform of choice for ambitious companies operating at this new pace. Legacy HCMs help humans track the work. Warp uses AI to proactively complete the work. Workday was built for the last era. We're building for the next one. And it’s working. We've – - Doubled ARR in Q1 - On track to $2B+ payroll volume this year - Signed enterprise customers with thousands of employees - Launched entire product lines back-to-back: Warp benefits brokerage and Warp Fabric (our AI-native IT automation suite built in-house). A few thank-yous: 1. Our customers, the fastest-growing companies in the world, who trust us with their most critical systems. We wouldn't be here without you. 2. Our team - 50+ people in NYC who've built this platform, taken on the hardest problems in business-critical software. We're just getting started. 3. Our investors doubling down in this round, and some of our earliest believers – Sound Ventures (ashton kutcher, Effie Epstein), Derek Grant, (Arnav Sahu), Harj Taggar at Y Combinator, Balaji, Kevin Hartz, Kyle Vogt, Amjad Masad, HOF Capital (Fady Yacoub), colinevans (OpenAI) We're here to arm ambitious American companies with Workday-grade power, but with the usability and delight of an Apple product. With this new funding, we plan to fund deeper AI agents, tax and compliance infrastructure, expand our product suite, and support even closely our fast-growing customers. Come join us.

Ayush S

1,094,614 次观看 • 22 天前

I’ve been working on a bigger project tied to this - more on that soon. But for now, here’s a question the media didn’t bother to ask today: In over 60 combined years in office, what have Senator Chuck Schumer and Erie County Executive Mark Poloncarz actually done to make Western New York a place people want to visit? Why should anyone come here? Just look around: – The U.S. side of Niagara Falls? Embarrassing. – The first exit off the Peace Bridge? Depressing. – Stolen car in Buffalo? Good luck. – Sidewalks? Crumbling. – Streets? Filthy. And the real question: How long has it been this way? It’s time we stop letting career politicians skate by with photo-ops and finger-pointing while our region deteriorates. Take Hutchinson Memorial Chapel. One of the first things you see coming over the Peace Bridge—boarded up since 2009. New York State took ownership in 2013 for Peace Bridge redevelopment. I filmed this two weeks ago. Twelve years later—still boarded up. Still forgotten. But this is Orange Man's fault! WGRZ The Buffalo News News 4 Buffalo 7 News WKBW WBEN NewsRadio 930AM, maybe you can ask?

I’ve been working on a bigger project tied to this - more on that soon. But for now, here’s a question the media didn’t bother to ask today: In over 60 combined years in office, what have Senator Chuck Schumer and Erie County Executive Mark Poloncarz actually done to make Western New York a place people want to visit? Why should anyone come here? Just look around: – The U.S. side of Niagara Falls? Embarrassing. – The first exit off the Peace Bridge? Depressing. – Stolen car in Buffalo? Good luck. – Sidewalks? Crumbling. – Streets? Filthy. And the real question: How long has it been this way? It’s time we stop letting career politicians skate by with photo-ops and finger-pointing while our region deteriorates. Take Hutchinson Memorial Chapel. One of the first things you see coming over the Peace Bridge—boarded up since 2009. New York State took ownership in 2013 for Peace Bridge redevelopment. I filmed this two weeks ago. Twelve years later—still boarded up. Still forgotten. But this is Orange Man's fault! WGRZ The Buffalo News News 4 Buffalo 7 News WKBW WBEN NewsRadio 930AM, maybe you can ask?

Chrissy Casilio

20,058 次观看 • 11 个月前

Thank you Centre Pompidou Centre Pompidou, everyone who made Nature Manifesto happen, and all the people that took it in. We were happy to see the conversations that the use of AI in Nature Manifesto sparked !! Below is a message from Björk: ~~~ “ the flood of all things from AI is overwhelming !! i am super grateful for your concerns about it´s effects on the environment , it shows you care , are curious and have integrity . i am curious too , i would like to be more informed about the difference of "frugal" AI and the ones that do hugeenvironmental damage and want to be able to choose . i asked around and found out that both the visuals and the audio in our pompidou project were done with "frugal" AI . but i have a lot to learn . when we used some of the AI softwares to merge the animals voices to mine , some of the sounds were great but to be honest , the best blends of their voices and a human were done "manually" , me editing the sounds , choosing piece by piece , looking for personality , musicality and soul . with new technology , i try to use it as a tool to grow , not a crutch . for example when i used melodyne , i used it not for lazy voice progressions but spent even more time when using it . every note in every chord became intentionally more complex . ( for example choir in "thunderbolt" ) and hopefully stretched the potential more out , further than i would have in "normal analog" physical improvisations ... i felt with this new tool i could reach new places in my musical DNA , become MORE personal . more myself . in my opinion , this is how we will work in the future . humans can read emotions on an incredibly high scale . nature made us that way . if there is no soul in tomorrow's music made by AI it is because no-one put it there and we have to speak out and guard this as listeners . ( tbh there is a lot of soulless muzak on spotify already ... they don’t need any AI help for that ...) anything that is mass manufactured without the attention of creativity , is that way . AI or not so it is not about the tool it is what you do with it . " ~~~ The visuals for Nature Manifesto were crafted by the talented Sam Balfus, artificial intelligence being one of the multiple tools used in the process. The sound was produced in collaboration with artist Robin Meier and IRCAM IRCAM. IRCAM develops “frugal AI” capable of generating audio in real-time on local servers without a GPU, thus their models can f.ex. be embedded on tiny Raspberry Pi cards. We asked associate professor and researcher Philippe Esling to provide us with readings; Constance Douwe’s thesis “On the environmental impact of deep generative models for audio” and more, see links below. Nature Manifesto Immersive sound piece 3’40” (2024) 20 November to 9 December, 2024, Centre Pompidou, Paris. Presented as part of the forum “Biodiversity: Which culture for which future?” #ForumBiodiversité Concept and words by Björk & Aleph Music written and composed by Björk Curatorship: Chloé Siganos and Aleph Molinari Associate curator: Delphine Le Gatt Ircam Musical Computing: Robin Meier Wiratunga Sound engineer: Bergur Þórisson Animation: Sam Balfua Video editing: Santiago Molinari With activists: Camille Etienne, Claire Nouvian, Sigrun Perla Gísladóttir, Sæunn Júlía Sigurjónsdóttir, Titouan Pilliard, of BLOOM, Sustainable Ocean Alliance, and Ungir umhverfissinnar. In partnership with D&B Audio and Southby Productions. Reccommended resources :

Thank you Centre Pompidou Centre Pompidou, everyone who made Nature Manifesto happen, and all the people that took it in. We were happy to see the conversations that the use of AI in Nature Manifesto sparked !! Below is a message from Björk: ~ “ the flood of all things from AI is overwhelming !! i am super grateful for your concerns about it´s effects on the environment , it shows you care , are curious and have integrity . i am curious too , i would like to be more informed about the difference of "frugal" AI and the ones that do hugeenvironmental damage and want to be able to choose . i asked around and found out that both the visuals and the audio in our pompidou project were done with "frugal" AI . but i have a lot to learn . when we used some of the AI softwares to merge the animals voices to mine , some of the sounds were great but to be honest , the best blends of their voices and a human were done "manually" , me editing the sounds , choosing piece by piece , looking for personality , musicality and soul . with new technology , i try to use it as a tool to grow , not a crutch . for example when i used melodyne , i used it not for lazy voice progressions but spent even more time when using it . every note in every chord became intentionally more complex . ( for example choir in "thunderbolt" ) and hopefully stretched the potential more out , further than i would have in "normal analog" physical improvisations ... i felt with this new tool i could reach new places in my musical DNA , become MORE personal . more myself . in my opinion , this is how we will work in the future . humans can read emotions on an incredibly high scale . nature made us that way . if there is no soul in tomorrow's music made by AI it is because no-one put it there and we have to speak out and guard this as listeners . ( tbh there is a lot of soulless muzak on spotify already ... they don’t need any AI help for that ...) anything that is mass manufactured without the attention of creativity , is that way . AI or not so it is not about the tool it is what you do with it . " ~ The visuals for Nature Manifesto were crafted by the talented Sam Balfus, artificial intelligence being one of the multiple tools used in the process. The sound was produced in collaboration with artist Robin Meier and IRCAM IRCAM. IRCAM develops “frugal AI” capable of generating audio in real-time on local servers without a GPU, thus their models can f.ex. be embedded on tiny Raspberry Pi cards. We asked associate professor and researcher Philippe Esling to provide us with readings; Constance Douwe’s thesis “On the environmental impact of deep generative models for audio” and more, see links below. Nature Manifesto Immersive sound piece 3’40” (2024) 20 November to 9 December, 2024, Centre Pompidou, Paris. Presented as part of the forum “Biodiversity: Which culture for which future?” #ForumBiodiversité Concept and words by Björk & Aleph Music written and composed by Björk Curatorship: Chloé Siganos and Aleph Molinari Associate curator: Delphine Le Gatt Ircam Musical Computing: Robin Meier Wiratunga Sound engineer: Bergur Þórisson Animation: Sam Balfua Video editing: Santiago Molinari With activists: Camille Etienne, Claire Nouvian, Sigrun Perla Gísladóttir, Sæunn Júlía Sigurjónsdóttir, Titouan Pilliard, of BLOOM, Sustainable Ocean Alliance, and Ungir umhverfissinnar. In partnership with D&B Audio and Southby Productions. Reccommended resources :

björk

51,637 次观看 • 1 年前