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Cyberpunk 2077 just ran on an iPhone. Not through cloud gaming. Not through Remote Play. Natively. A new open-source project called Madeira is bringing Windows PC games to non-jailbroken iPhones. It combines: • Wine (ARM64EC) • FEX x86-64 translation • DirectX 11 → Metal (DXMT) • JIT via StikDebug... show more

Techjunkie Aman

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Astra (GPT-6) is here!!! I've had early access and tested it like crazy with things like games, code, writing, browser control, presentations and general knowledge work. This is the best model I've ever used. Period. (Incredible demos below in this thread ⬇️) Here's my take on Astra: > It's insanely capable. This feels like a massive improvement, not just an incremental change. This is especially true with zero-shot prompts. > It's all about knowledge work. Slide creation, analysis, writing, and browser control. And oh my...it's so good at browser control. GPT-5.6 was already fantastic at doing things in the browser, Astra is another level and significantly faster. > We're closer than ever (arrived?) at prompt-to-playable game. And I don't just mean only playable, these are actually fun games. I bet if someone with a great eye for games used Astra, they could create a viral game within 1-2 weeks. > Astra is better at writing but not perfect. It removes much of the "AI Smell" we're all familiar with but some stink still survived. > It has a tendency to use the same design colors and look/feel as GPT-5.6 (forrest green anyone?) but it is more steerable in design than previous models. > It's highly steerable in general. A little nudge goes a long way. When I first started using Astra, almost every task I gave it would go for ~30 minutes. I wanted it to keep working. Adding more specifics to a prompt helped greatly with it's ability to work for a long time. > Astra's 3D understanding is unmatched. 3D asset creation was consistent and easy and its spacial awareness while building complex 3D worlds blew me away. I'm still getting familiar with Astra but this will now be my go-to model for any difficult work I have. Check out the demos below: 👇

Astra (GPT-6) is here!!! I've had early access and tested it like crazy with things like games, code, writing, browser control, presentations and general knowledge work. This is the best model I've ever used. Period. (Incredible demos below in this thread ⬇️) Here's my take on Astra: > It's insanely capable. This feels like a massive improvement, not just an incremental change. This is especially true with zero-shot prompts. > It's all about knowledge work. Slide creation, analysis, writing, and browser control. And oh my...it's so good at browser control. GPT-5.6 was already fantastic at doing things in the browser, Astra is another level and significantly faster. > We're closer than ever (arrived?) at prompt-to-playable game. And I don't just mean only playable, these are actually fun games. I bet if someone with a great eye for games used Astra, they could create a viral game within 1-2 weeks. > Astra is better at writing but not perfect. It removes much of the "AI Smell" we're all familiar with but some stink still survived. > It has a tendency to use the same design colors and look/feel as GPT-5.6 (forrest green anyone?) but it is more steerable in design than previous models. > It's highly steerable in general. A little nudge goes a long way. When I first started using Astra, almost every task I gave it would go for ~30 minutes. I wanted it to keep working. Adding more specifics to a prompt helped greatly with it's ability to work for a long time. > Astra's 3D understanding is unmatched. 3D asset creation was consistent and easy and its spacial awareness while building complex 3D worlds blew me away. I'm still getting familiar with Astra but this will now be my go-to model for any difficult work I have. Check out the demos below: 👇

Matthew Berman

1,895,591 Aufrufe • vor 11 Tagen

Most people think their AI is not smart enough. It is smart enough. It just knows nothing about you. Every chat starts from zero. You paste the doc. You explain the project. You explain the same project again tomorrow. I finally fixed that part: 👇 I have been running Littlebird for a while now. The idea is simple. It is a desktop app for Mac and Windows that reads the text on your active window and sits in on your calls. So it already knows what you have been working on before you ask it anything. You do not brief it. You just ask. What that looks like in a normal day: 1/ Chat that already has the context No pasting. I ask what changed in a brief last week and it answers from the actual document that was open on my screen. 2/ Meeting Notes that write themselves It transcribes the call, then hands me the decisions and the action items. I get to stay in the conversation instead of typing through it. 3/ Routines that run on a schedule A morning briefing. A weekly summary of what I actually shipped. It shows up on its own. 4/ Hummingbird for the small stuff It appears right where you are working, so a quick question does not cost you a window switch and ten minutes of drift. The point is not the notes. Plenty of apps take notes. The point is that I stopped re-explaining my own work to a machine fifteen times a day. Free plan if you want to test the idea before deciding. Link is in the first comment, along with a discount for new users.

Most people think their AI is not smart enough. It is smart enough. It just knows nothing about you. Every chat starts from zero. You paste the doc. You explain the project. You explain the same project again tomorrow. I finally fixed that part: 👇 I have been running Littlebird for a while now. The idea is simple. It is a desktop app for Mac and Windows that reads the text on your active window and sits in on your calls. So it already knows what you have been working on before you ask it anything. You do not brief it. You just ask. What that looks like in a normal day: 1/ Chat that already has the context No pasting. I ask what changed in a brief last week and it answers from the actual document that was open on my screen. 2/ Meeting Notes that write themselves It transcribes the call, then hands me the decisions and the action items. I get to stay in the conversation instead of typing through it. 3/ Routines that run on a schedule A morning briefing. A weekly summary of what I actually shipped. It shows up on its own. 4/ Hummingbird for the small stuff It appears right where you are working, so a quick question does not cost you a window switch and ten minutes of drift. The point is not the notes. Plenty of apps take notes. The point is that I stopped re-explaining my own work to a machine fifteen times a day. Free plan if you want to test the idea before deciding. Link is in the first comment, along with a discount for new users.

Mushfiq Sajib

66,449 Aufrufe • vor 5 Tagen

We're excited to unveil NRN Agents, a rebrand that aligns our project identity with our token and strengthens our mission to power the future of AI-driven gaming. This mission requires collaboration, and starting this week, we will begin our expansion to become a multi-chain ecosystem. We are joining forces with leading gaming platforms and ecosystems to realize this vision. Stay tuned for more announcements to come. Why NRN Agents? NRN stands for NEURON, the fundamental unit of intelligence. Our AI agents function as the neural foundation of games, learning, adapting, and evolving within game worlds to deliver unparalleled engagement. NRN agent SDK enables advanced gaming agents powered by a proprietary machine learning infrastructure focused on behavioral learning. We've perfected the craft of gaming agent design, creating hyper-efficient agents that are performant and scalable—from casual to the most demanding games. Our SDK will seamlessly integrate into many platforms, tech stacks, and ecosystem – Any Game. Any Chain. More than just games, it's the path to AGI Gaming is our proving ground, but not our final destination. We're using games as a sandbox to accelerate the development of generalized intelligence—one that will create meaningful real-world impact. With the upcoming launch of [redacted] and a growing network of partners committed to the AGI vision, we're building an open-source innovation movement powered by an AI x gaming framework connected by $NRN. $NRN the token $NRN is a utility token that serves as the gateway to our growing ecosystem. It will power a diversified economy with multiple revenue streams and staking opportunities: Agent Deployment: NRN is the laboratory creating gaming agents that can be distributed through platforms and launchpads alike. The model is simple: More games integrate, more NRN agents get deployed, more monetization. Data Creation: NRN Reinforcement Learning (RL) enables token staking to create Data Capsules. Players contribute gameplay data into the Capsules, which are used train RL agents and reward participants (players & stakers). AI Arena: $NRN also continues to power AI Arena's in-game economy, a cult favorite of competitive diehards that features a skill-based wagering system. To our community who have supported us since 2021: thank you for being part of our journey—the next chapter will be the most exciting yet!

We're excited to unveil NRN Agents, a rebrand that aligns our project identity with our token and strengthens our mission to power the future of AI-driven gaming. This mission requires collaboration, and starting this week, we will begin our expansion to become a multi-chain ecosystem. We are joining forces with leading gaming platforms and ecosystems to realize this vision. Stay tuned for more announcements to come. Why NRN Agents? NRN stands for NEURON, the fundamental unit of intelligence. Our AI agents function as the neural foundation of games, learning, adapting, and evolving within game worlds to deliver unparalleled engagement. NRN agent SDK enables advanced gaming agents powered by a proprietary machine learning infrastructure focused on behavioral learning. We've perfected the craft of gaming agent design, creating hyper-efficient agents that are performant and scalable—from casual to the most demanding games. Our SDK will seamlessly integrate into many platforms, tech stacks, and ecosystem – Any Game. Any Chain. More than just games, it's the path to AGI Gaming is our proving ground, but not our final destination. We're using games as a sandbox to accelerate the development of generalized intelligence—one that will create meaningful real-world impact. With the upcoming launch of [redacted] and a growing network of partners committed to the AGI vision, we're building an open-source innovation movement powered by an AI x gaming framework connected by $NRN. $NRN the token $NRN is a utility token that serves as the gateway to our growing ecosystem. It will power a diversified economy with multiple revenue streams and staking opportunities: Agent Deployment: NRN is the laboratory creating gaming agents that can be distributed through platforms and launchpads alike. The model is simple: More games integrate, more NRN agents get deployed, more monetization. Data Creation: NRN Reinforcement Learning (RL) enables token staking to create Data Capsules. Players contribute gameplay data into the Capsules, which are used train RL agents and reward participants (players & stakers). AI Arena: $NRN also continues to power AI Arena's in-game economy, a cult favorite of competitive diehards that features a skill-based wagering system. To our community who have supported us since 2021: thank you for being part of our journey—the next chapter will be the most exciting yet!

NRN Agents

20,764 Aufrufe • vor 1 Jahr

We are building the home of the doge economy Projects across every major vertical are already gearing up to launch on DogeOS. Builders are cooking. Here's what the community should be excited to explore.... Much Thoughts ✍️ Very 🐕 So Soon... 💱 DeFi Swaps, lending, yield, memes all running on DogeOS with Dogecoin at the heart of it all. This means the most beloved and recognized asset in crypto finally gets a real financial system built around it. Doge stops being just a vibe and starts being productive. The community has been asking for this for years. 🎮 Gaming On-chain games built on DogeOS: play, compete, unlock with Dogecoin. Doge was born from meme and gaming culture. Bringing games on-chain is just Doge coming home. Play to unlock, play to grow, play because it's fun. Gaming is one of the strongest onramps in all of crypto. It's how you turn curious onlookers into active participants. This is a chance to bring the fun and the love of this community to a whole new wave of users, and remind the old ones why they fell in love with Doge in the first place. 🤖 AI Builders are already positioned to ship AI powered dApps, agents, and tools natively on DogeOS. Think automated trading agents, AI assistants that manage your wallet, dApp builders, and solutions that get smarter the more the ecosystem grows. Agents benefit from fast and cheap transaction environments, and that's exactly what DogeOS is built for. DogeOS becomes the rails for the next wave of on-chain AI, with Doge as the fuel. 📣 Community and Social Apps built for the culture. Social tools, creator platforms, community coordination, all on-chain and all for the Doge economy. Dogecoin has always had the strongest community in crypto. Now that community gets its own social layer instead of living as a guest in another chain's world. Dogecoin should be the focal point, not just another asset being served. 🐕 All your desires. One ecosystem. We are building toward the future this community has dreamt of, making Dogecoin the central piece of a real on-chain economy. This is just the start. Much building. Prepare your paws.

We are building the home of the doge economy Projects across every major vertical are already gearing up to launch on DogeOS. Builders are cooking. Here's what the community should be excited to explore.... Much Thoughts ✍️ Very 🐕 So Soon... 💱 DeFi Swaps, lending, yield, memes all running on DogeOS with Dogecoin at the heart of it all. This means the most beloved and recognized asset in crypto finally gets a real financial system built around it. Doge stops being just a vibe and starts being productive. The community has been asking for this for years. 🎮 Gaming On-chain games built on DogeOS: play, compete, unlock with Dogecoin. Doge was born from meme and gaming culture. Bringing games on-chain is just Doge coming home. Play to unlock, play to grow, play because it's fun. Gaming is one of the strongest onramps in all of crypto. It's how you turn curious onlookers into active participants. This is a chance to bring the fun and the love of this community to a whole new wave of users, and remind the old ones why they fell in love with Doge in the first place. 🤖 AI Builders are already positioned to ship AI powered dApps, agents, and tools natively on DogeOS. Think automated trading agents, AI assistants that manage your wallet, dApp builders, and solutions that get smarter the more the ecosystem grows. Agents benefit from fast and cheap transaction environments, and that's exactly what DogeOS is built for. DogeOS becomes the rails for the next wave of on-chain AI, with Doge as the fuel. 📣 Community and Social Apps built for the culture. Social tools, creator platforms, community coordination, all on-chain and all for the Doge economy. Dogecoin has always had the strongest community in crypto. Now that community gets its own social layer instead of living as a guest in another chain's world. Dogecoin should be the focal point, not just another asset being served. 🐕 All your desires. One ecosystem. We are building toward the future this community has dreamt of, making Dogecoin the central piece of a real on-chain economy. This is just the start. Much building. Prepare your paws.

DogeOS

41,772 Aufrufe • vor 4 Tagen

I've dated hundreds of girls in the last couple years every single time it's always the same at first it feels new, different euphoric "this is the one" i say then a couple days later, i realize she's like the rest that's when i understood: this is EXACTLY what hardstuck league players feel "trying out akali" "yone feels better" "maybe syndra is the answer" every new champion is "the one" the honeymoon phase is a trap fresh combos outplay potential that hit of dopamine then, that bad matchup, loss streak, emptiness "my champion does no damage" "this champ is trash" "can't carry with this" back to the pool back to swiping through the champion roster like it's fucking hinge meanwhile some 14 year old in seoul just hit grandmaster playing garen only 2 million mastery points doesn't know what "optimal trading patterns" means doesn't speak english doesn't watch guides just knows his champion so well he can smell your mistakes in loading screen seen every matchup 500 times knows exactly when he wins when he loses when to give up cs when to int for objectives learned every ugly part you keep running from here's the brutal truth i had to face: i was the fucking PROBLEM not the girls not the champions not the matchmaking ME i was addicted to the hunt chasing that first-game high instead of learning what happens on game 500 you think you're "finding your main" you're actually just a commitment-phobic bitch running from discomfort never staying long enough to learn the bad matchups the losing lanes the moments where your champion feels like dog shit that's where mastery lives in the ugly parts you keep running away from but you won't stay you'll hit one bad day and it's back to the tier list back to youtube guides back to "maybe THIS is the one" commitment issues don't just ruin your dating life they keep you hardstuck in League of Legends study the saskio way

I've dated hundreds of girls in the last couple years every single time it's always the same at first it feels new, different euphoric "this is the one" i say then a couple days later, i realize she's like the rest that's when i understood: this is EXACTLY what hardstuck league players feel "trying out akali" "yone feels better" "maybe syndra is the answer" every new champion is "the one" the honeymoon phase is a trap fresh combos outplay potential that hit of dopamine then, that bad matchup, loss streak, emptiness "my champion does no damage" "this champ is trash" "can't carry with this" back to the pool back to swiping through the champion roster like it's fucking hinge meanwhile some 14 year old in seoul just hit grandmaster playing garen only 2 million mastery points doesn't know what "optimal trading patterns" means doesn't speak english doesn't watch guides just knows his champion so well he can smell your mistakes in loading screen seen every matchup 500 times knows exactly when he wins when he loses when to give up cs when to int for objectives learned every ugly part you keep running from here's the brutal truth i had to face: i was the fucking PROBLEM not the girls not the champions not the matchmaking ME i was addicted to the hunt chasing that first-game high instead of learning what happens on game 500 you think you're "finding your main" you're actually just a commitment-phobic bitch running from discomfort never staying long enough to learn the bad matchups the losing lanes the moments where your champion feels like dog shit that's where mastery lives in the ugly parts you keep running away from but you won't stay you'll hit one bad day and it's back to the tier list back to youtube guides back to "maybe THIS is the one" commitment issues don't just ruin your dating life they keep you hardstuck in League of Legends study the saskio way

Tony Chau

722,278 Aufrufe • vor 10 Monaten

Chiliz's Highlight of The Week: Chiliz Farm: Play & Earn | Mobile Farm Game 🌶️ 🎮 🌶️🧑‍🌾 Take a moment to stretch your fingers, because this week's highlight is going to ask a lot from them. Welcome to Chiliz Farm! ✨ 📚 Introduction: Chiliz Farm is a play-to-earn mobile farm game on Chiliz Chain. It started as a casual Telegram clicker game, like Notcoin & Hamster Kombat, but has already introduced many new features and mini-games such as Snake, Match-three and auto-farmer. Since the launch on August 10th, Chiliz Farm already onboarded 6,000+ users, with over 200,000+ mini-games played and 10,000,000,000+ coins being farmed. 💥 Why to play the game: First of all, it is fun to play! Second, all players will receive an airdrop of the upcoming Chiliz Farm token based on the number of coins you've accumulated in the game. But that's not all! The top 100 players that acquired the most coins, the top 20 players in each mini-game and the most active participants in the community will also receive special NFTs, which will be incredibly valuable and offer unique boosts in the future game where you can earn real tokens. These NFTs will also provide additional advantages within the larger ecosystem. 🏗️ What to expect in the future: Chiliz Farm is dedicated to release an Android & IOS app for Chiliz Farm at the end of 2024. With their own cryptocurrency on Chiliz Chain being the backbone of the mobile based game. This token will have real value, and can be earned by simply taking care of your farm. In addition, they will be integrating NFTs for rare items that will significantly impact your progress. 🤝 Partnerships: Chiliz Farm has already partnered up with one of the major DEXs on Chiliz Chain: KEWL. KEWL Swap integration is coming soon to the Chiliz Farm game, bringing new tasks and opportunities for KEWL's users. 🎮 You can play the game via the following link: Chiliz Farm is an independent third-party project and has no affiliation with or endorsement from Chiliz Group, and their terms. Term and conditions might apply. That's it! Make sure to follow Chiliz, as we will be highlighting KEWL, the first and one of the major DEXs on Chiliz Chain, on next week's edition. 🌶️

Chiliz's Highlight of The Week: Chiliz Farm: Play & Earn | Mobile Farm Game 🌶️ 🎮 🌶️🧑‍🌾 Take a moment to stretch your fingers, because this week's highlight is going to ask a lot from them. Welcome to Chiliz Farm! ✨ 📚 Introduction: Chiliz Farm is a play-to-earn mobile farm game on Chiliz Chain. It started as a casual Telegram clicker game, like Notcoin & Hamster Kombat, but has already introduced many new features and mini-games such as Snake, Match-three and auto-farmer. Since the launch on August 10th, Chiliz Farm already onboarded 6,000+ users, with over 200,000+ mini-games played and 10,000,000,000+ coins being farmed. 💥 Why to play the game: First of all, it is fun to play! Second, all players will receive an airdrop of the upcoming Chiliz Farm token based on the number of coins you've accumulated in the game. But that's not all! The top 100 players that acquired the most coins, the top 20 players in each mini-game and the most active participants in the community will also receive special NFTs, which will be incredibly valuable and offer unique boosts in the future game where you can earn real tokens. These NFTs will also provide additional advantages within the larger ecosystem. 🏗️ What to expect in the future: Chiliz Farm is dedicated to release an Android & IOS app for Chiliz Farm at the end of 2024. With their own cryptocurrency on Chiliz Chain being the backbone of the mobile based game. This token will have real value, and can be earned by simply taking care of your farm. In addition, they will be integrating NFTs for rare items that will significantly impact your progress. 🤝 Partnerships: Chiliz Farm has already partnered up with one of the major DEXs on Chiliz Chain: KEWL. KEWL Swap integration is coming soon to the Chiliz Farm game, bringing new tasks and opportunities for KEWL's users. 🎮 You can play the game via the following link: Chiliz Farm is an independent third-party project and has no affiliation with or endorsement from Chiliz Group, and their terms. Term and conditions might apply. That's it! Make sure to follow Chiliz, as we will be highlighting KEWL, the first and one of the major DEXs on Chiliz Chain, on next week's edition. 🌶️

Chiliz - The Sports Blockchain

43,550 Aufrufe • vor 2 Jahren

Sipher Odyssey and SipherAGI Update Dear Sipher community, 🔴 Sipher Odyssey is in its final stretch before Global Launch. • We’ve built over a year of live content, ensuring players will always have fresh challenges and events to return to. • Based on community feedback and play data, we’re refining FTUE and monetization systems so the game launches stronger, with better retention and long-term growth. • Sipher Adventure (World Exploration / Story Mode) is coming very soon to make onboarding easier for new players. The core roguelite ARPG depth remains intact for our midcore to hardcore community. While we won’t rush at the expense of quality, the launch timeline remains in our control. We’re focused on getting it right. We will deliver a launch that’s impactful from day one and sustainable over the long term. 🔴 Beyond Sipher Odyssey: The SipherAGI Vision While Sipher Odyssey is our flagship, it’s only the first chapter. Our roadmap has always been about Sipher AGI, building not just one game, but an ecosystem of impactful and lasting products across three pillars: • AI ( GAIA, KAIO) → AI and tools that enhance gameplay today, while also evolving into a platform that empowers creators and game developers in the future. • Gaming (multiple titles) → Sipher Odyssey, Sipher Strife, and a new soulslike is in development, with more ambitious titles planned to follow. • Infrastructure ( Funki✌🏻 ) → Our own Ethereum Layer-2 built on the Optimism Stack. Running our own chain gives us control over fees and incentives, cycling value back into the ecosystem. Superchain connectivity ensures a seamless experience for players. Each of these pillars connects through $SIPHER, our ecosystem token. Value accrues back to token holders across all our products and future titles. 🔴 Why This Matters Even in a challenging Web3 gaming market where many studios have closed, Ather Labs has a secured multi-year runway. This stability allows us to focus on delivering great games and ecosystem products without rushing into unfavorable deals. 🔴 What’s ahead: • Launch Sipher Odyssey strong • Expand with impactful titles and experiences • Advance GAIA and Funki Chain to make SipherAGI more than just a game studio, an AI × Gaming × Infrastructure ecosystem Thank you for being with us on this journey. advance, AtherLabs Team

Sipher Odyssey and SipherAGI Update Dear Sipher community, 🔴 Sipher Odyssey is in its final stretch before Global Launch. • We’ve built over a year of live content, ensuring players will always have fresh challenges and events to return to. • Based on community feedback and play data, we’re refining FTUE and monetization systems so the game launches stronger, with better retention and long-term growth. • Sipher Adventure (World Exploration / Story Mode) is coming very soon to make onboarding easier for new players. The core roguelite ARPG depth remains intact for our midcore to hardcore community. While we won’t rush at the expense of quality, the launch timeline remains in our control. We’re focused on getting it right. We will deliver a launch that’s impactful from day one and sustainable over the long term. 🔴 Beyond Sipher Odyssey: The SipherAGI Vision While Sipher Odyssey is our flagship, it’s only the first chapter. Our roadmap has always been about Sipher AGI, building not just one game, but an ecosystem of impactful and lasting products across three pillars: • AI ( GAIA, KAIO) → AI and tools that enhance gameplay today, while also evolving into a platform that empowers creators and game developers in the future. • Gaming (multiple titles) → Sipher Odyssey, Sipher Strife, and a new soulslike is in development, with more ambitious titles planned to follow. • Infrastructure ( Funki✌🏻 ) → Our own Ethereum Layer-2 built on the Optimism Stack. Running our own chain gives us control over fees and incentives, cycling value back into the ecosystem. Superchain connectivity ensures a seamless experience for players. Each of these pillars connects through $SIPHER, our ecosystem token. Value accrues back to token holders across all our products and future titles. 🔴 Why This Matters Even in a challenging Web3 gaming market where many studios have closed, Ather Labs has a secured multi-year runway. This stability allows us to focus on delivering great games and ecosystem products without rushing into unfavorable deals. 🔴 What’s ahead: • Launch Sipher Odyssey strong • Expand with impactful titles and experiences • Advance GAIA and Funki Chain to make SipherAGI more than just a game studio, an AI × Gaming × Infrastructure ecosystem Thank you for being with us on this journey. advance, AtherLabs Team

SIPHΞR 🔜 GAMESCOM

12,170 Aufrufe • vor 1 Jahr

💔 ROBERTS AND BARRETT JUST STABBED US IN THE BACK. AGAIN. The Supreme Court ruled today in Watson v. RNC that states do not have to receive mail-in ballots by Election Day for them to count. Postmarked by Election Day is good enough. Your ballot can wander through the postal system for days after the polls close and still be counted. And who wrote the majority opinion? Amy Coney Barrett. Who joined her? John Roberts. Along with Sotomayor, Kagan, and Jackson. The usual liberal bloc did what the usual liberal bloc does. But Barrett and Roberts had the power to stop this and chose not to. This is not a surprise from Roberts at this point. But Barrett? This is the justice we were promised would be different. This is the justice we fought for. This is the justice who just handed the left exactly what they wanted on mail-in ballot integrity. Five to four. One vote. That is the margin by which election integrity lost today. Alito, Thomas, Gorsuch, and Kavanaugh dissented. Alito was scathing. He wrote that allowing ballots to pour in after Election Day, while preliminary results are already being reported publicly, creates greater opportunity for fraud and risks further destroying public confidence in our elections. He is right. He has always been right on this. Here is what this means on the ground. States can now set their own deadlines for when mail-in ballots must be received after Election Day. Mississippi had five days. Washington State has twenty-one days. Twenty-one days of ballots trickling in after you thought the election was over. Think about what that looks like. Think about what that feels like to watch. You know exactly what it feels like. We have all lived it. Alito said it plainly in his dissent. When thousands of absentee ballots flow in after Election Day and potentially flip the result of an election, charges of a rigged election explode. He cited research showing that drawn-out ballot counting produces a large and significant decrease in Americans' trust in elections. We did not need a study to tell us that. The Save America Act, if passed, could address some of this going forward through Congress. But today's ruling makes clear that the legislative route is now the only route. The Court just took the judicial option off the table. Roberts and Barrett handed that decision to the same Congress where we are still fighting for a real majority. Barrett and Roberts folded. Again. Remember this the next time someone tells you that winning the White House is enough. It is not enough if the judges we are told to trust keep crossing the line when it matters most. Personnel is policy. And today, our personnel failed us.

💔 ROBERTS AND BARRETT JUST STABBED US IN THE BACK. AGAIN. The Supreme Court ruled today in Watson v. RNC that states do not have to receive mail-in ballots by Election Day for them to count. Postmarked by Election Day is good enough. Your ballot can wander through the postal system for days after the polls close and still be counted. And who wrote the majority opinion? Amy Coney Barrett. Who joined her? John Roberts. Along with Sotomayor, Kagan, and Jackson. The usual liberal bloc did what the usual liberal bloc does. But Barrett and Roberts had the power to stop this and chose not to. This is not a surprise from Roberts at this point. But Barrett? This is the justice we were promised would be different. This is the justice we fought for. This is the justice who just handed the left exactly what they wanted on mail-in ballot integrity. Five to four. One vote. That is the margin by which election integrity lost today. Alito, Thomas, Gorsuch, and Kavanaugh dissented. Alito was scathing. He wrote that allowing ballots to pour in after Election Day, while preliminary results are already being reported publicly, creates greater opportunity for fraud and risks further destroying public confidence in our elections. He is right. He has always been right on this. Here is what this means on the ground. States can now set their own deadlines for when mail-in ballots must be received after Election Day. Mississippi had five days. Washington State has twenty-one days. Twenty-one days of ballots trickling in after you thought the election was over. Think about what that looks like. Think about what that feels like to watch. You know exactly what it feels like. We have all lived it. Alito said it plainly in his dissent. When thousands of absentee ballots flow in after Election Day and potentially flip the result of an election, charges of a rigged election explode. He cited research showing that drawn-out ballot counting produces a large and significant decrease in Americans' trust in elections. We did not need a study to tell us that. The Save America Act, if passed, could address some of this going forward through Congress. But today's ruling makes clear that the legislative route is now the only route. The Court just took the judicial option off the table. Roberts and Barrett handed that decision to the same Congress where we are still fighting for a real majority. Barrett and Roberts folded. Again. Remember this the next time someone tells you that winning the White House is enough. It is not enough if the judges we are told to trust keep crossing the line when it matters most. Personnel is policy. And today, our personnel failed us.

Bill Mitchell

290,315 Aufrufe • vor 2 Monaten

Your metabolism isn’t broken. You’re just playing the wrong game. Post-chest day pump into a full Forbici feast: their largest pepperoni pizza, cacio e pepe, Caesar salad, double protein chicken bowl, and wine. This is what metabolic flexibility actually looks like. When you carry significant muscle mass at 12% body fat, your body becomes a completely different machine. You’re not just “lean”, you’re metabolically advantaged. Think of it like this: Fat cells are storage units. Muscle cells are furnaces. The more furnaces you have running 24/7, the more fuel you can throw at them without consequence. At 12% body fat with real muscle tissue, your insulin sensitivity is optimized. Nutrients partition preferentially into muscle, not fat. Your body actually PREFERS to burn fat for fuel at rest and shuttle carbs into muscle for growth and performance. This is why I can destroy an entire Italian feast on date night without anxiety or tomorrow’s cardio “punishment.” The muscle mass creates metabolic flexibility, the ability to efficiently use whatever fuel source you give it. Most people obsess over aggressive deficits and endless cardio, treating fat loss like an emergency. Yes, these tools work. Yes, you can preserve muscle if you’re smart about it. But you’re still playing defense, constantly fighting to maintain what little muscle you have while grinding through restriction. The game isn’t just getting lean. It’s building the engine that makes being lean effortless. When you prioritize muscle acquisition FIRST, you create a physique that burns more calories at rest, handles carbs better, and allows you to eat like someone who enjoys date night. Stop majoring in the minors. Build the metabolic advantage first, then reveal what you’ve built. Your grandmother was right - you need to eat. When you have the muscle mass to support it, food becomes fuel, not the enemy.

Your metabolism isn’t broken. You’re just playing the wrong game. Post-chest day pump into a full Forbici feast: their largest pepperoni pizza, cacio e pepe, Caesar salad, double protein chicken bowl, and wine. This is what metabolic flexibility actually looks like. When you carry significant muscle mass at 12% body fat, your body becomes a completely different machine. You’re not just “lean”, you’re metabolically advantaged. Think of it like this: Fat cells are storage units. Muscle cells are furnaces. The more furnaces you have running 24/7, the more fuel you can throw at them without consequence. At 12% body fat with real muscle tissue, your insulin sensitivity is optimized. Nutrients partition preferentially into muscle, not fat. Your body actually PREFERS to burn fat for fuel at rest and shuttle carbs into muscle for growth and performance. This is why I can destroy an entire Italian feast on date night without anxiety or tomorrow’s cardio “punishment.” The muscle mass creates metabolic flexibility, the ability to efficiently use whatever fuel source you give it. Most people obsess over aggressive deficits and endless cardio, treating fat loss like an emergency. Yes, these tools work. Yes, you can preserve muscle if you’re smart about it. But you’re still playing defense, constantly fighting to maintain what little muscle you have while grinding through restriction. The game isn’t just getting lean. It’s building the engine that makes being lean effortless. When you prioritize muscle acquisition FIRST, you create a physique that burns more calories at rest, handles carbs better, and allows you to eat like someone who enjoys date night. Stop majoring in the minors. Build the metabolic advantage first, then reveal what you’ve built. Your grandmother was right - you need to eat. When you have the muscle mass to support it, food becomes fuel, not the enemy.

Coach Paul

22,950 Aufrufe • vor 9 Monaten

I went a little overboard with Codex last week and burned through my entire weekly allowance in two days. Luckily, my quota reset today. Otherwise, I’m not sure what I would’ve done. It got me thinking: instead of asking one large model to handle everything from start to finish, why not let a stronger model plan the project and review the work, while a model built for execution handles the day-to-day implementation? So I tried it. The result was better than I expected. I used GPT-5.6 Sol in Codex as the decision-maker, then ran Ling-3.0-flash from Ant Ling inside OpenCode as the execution engine. Together, they built a small 3D farming game. Before writing any code, I had Codex create four documents: SPEC.md defined the product scope and the lines we couldn’t cross. ARCHITECTURE.md laid out the isometric coordinate system, state machine, and module boundaries. TASKS.md broke the project into small jobs Ling could tackle one at a time. ACCEPTANCE.md explained how each step would be tested and what “done” actually meant. Then I gave Ling a very straightforward role: You are the execution model for this project. Read all four documents before you begin. Work only on the task assigned for this round. When you’re done, run typecheck, test, and build. If anything fails, read the error, fix it, and run the checks again. Do not move on to the next task early. Ling handled dependency installation, project structure, strict TypeScript configuration, test setup, and a production build in 6 minutes and 3 seconds. It ran into issues with the Vite test config, a TS6310 error, and a missing jsdom dependency along the way. Instead of stopping at the first error, it kept reading the logs and fixing the problems until all three checks passed. The speed was honestly hard to believe. If you exclude the time spent waiting on tools, it was producing more than 100 tokens per second. That made the whole development loop feel noticeably faster. After this experiment, I’m planning to keep using the same workflow. If the task is small, there’s no reason to call an expensive planning model for every single step. If the task is large, handing the entire project to a Flash model in one prompt isn’t a great idea either. The setup that makes more sense to me is: Use a more capable model such as Codex to explore the project, make architectural decisions, and break the work down. Put the constraints into specs, schemas, types, and tests instead of leaving them buried in chat history. Give Ling-3.0-flash a steady stream of clear, verifiable implementation tasks. Report bugs with structured context and actual error logs, rather than saying, “It still doesn’t work.” Bring Codex back in for architecture reviews, visual checks, and changes that affect multiple parts of the project. The point of this setup isn’t to give AI a big “build the whole project” button. It’s to turn software development into a pipeline with a much more sensible cost structure: Codex figures out the plan, sets the boundaries, and catches problems. Ling-3.0-flash moves quickly, calls tools reliably, and works through well-defined tasks at scale. For agent workflows that involve lots of repetitive edits, production tasks, and tool calls, this may be a more practical answer than simply using the biggest model for everything.

I went a little overboard with Codex last week and burned through my entire weekly allowance in two days. Luckily, my quota reset today. Otherwise, I’m not sure what I would’ve done. It got me thinking: instead of asking one large model to handle everything from start to finish, why not let a stronger model plan the project and review the work, while a model built for execution handles the day-to-day implementation? So I tried it. The result was better than I expected. I used GPT-5.6 Sol in Codex as the decision-maker, then ran Ling-3.0-flash from Ant Ling inside OpenCode as the execution engine. Together, they built a small 3D farming game. Before writing any code, I had Codex create four documents: SPEC.md defined the product scope and the lines we couldn’t cross. ARCHITECTURE.md laid out the isometric coordinate system, state machine, and module boundaries. TASKS.md broke the project into small jobs Ling could tackle one at a time. ACCEPTANCE.md explained how each step would be tested and what “done” actually meant. Then I gave Ling a very straightforward role: You are the execution model for this project. Read all four documents before you begin. Work only on the task assigned for this round. When you’re done, run typecheck, test, and build. If anything fails, read the error, fix it, and run the checks again. Do not move on to the next task early. Ling handled dependency installation, project structure, strict TypeScript configuration, test setup, and a production build in 6 minutes and 3 seconds. It ran into issues with the Vite test config, a TS6310 error, and a missing jsdom dependency along the way. Instead of stopping at the first error, it kept reading the logs and fixing the problems until all three checks passed. The speed was honestly hard to believe. If you exclude the time spent waiting on tools, it was producing more than 100 tokens per second. That made the whole development loop feel noticeably faster. After this experiment, I’m planning to keep using the same workflow. If the task is small, there’s no reason to call an expensive planning model for every single step. If the task is large, handing the entire project to a Flash model in one prompt isn’t a great idea either. The setup that makes more sense to me is: Use a more capable model such as Codex to explore the project, make architectural decisions, and break the work down. Put the constraints into specs, schemas, types, and tests instead of leaving them buried in chat history. Give Ling-3.0-flash a steady stream of clear, verifiable implementation tasks. Report bugs with structured context and actual error logs, rather than saying, “It still doesn’t work.” Bring Codex back in for architecture reviews, visual checks, and changes that affect multiple parts of the project. The point of this setup isn’t to give AI a big “build the whole project” button. It’s to turn software development into a pipeline with a much more sensible cost structure: Codex figures out the plan, sets the boundaries, and catches problems. Ling-3.0-flash moves quickly, calls tools reliably, and works through well-defined tasks at scale. For agent workflows that involve lots of repetitive edits, production tasks, and tool calls, this may be a more practical answer than simply using the biggest model for everything.

雪踏乌云

23,107 Aufrufe • vor 1 Monat

$BTC UPDATE My long on #BTC is closed My plan has changed: 1. First long zone – $64,700 (DONE) 2. Second long zone – $62,500/$61,200 (DONE) 3. There is a Head and Shoulders pattern on the 1D chart (DONE) 4. First target – $68,500/$69,400 (DONE) 5. Second target – $72K (DONE) 6. Third target – $76K (SEE EXPLANATION BELOW) 7. After that, I expect the final drop to begin in August/September. Bitcoin reached my targets within two days - this shows the strength of the market at the moment. Therefore, I’m considering the possibility of a new target. As I mentioned before, once $BTC reaches our targets, we should see an altcoin rally - and it has already started. As I said earlier, buying spot through DCA is not a bad idea. My $ETH long is still open, while my $BTC long was closed at $69K. To open a short, I need to see bearish structure first. I’m not going to try to catch a knife, so I haven’t opened a short yet. If anything changes, I’ll let you know! DYOR. REMINDER: I warned about the BTC bull trap at $82K, the summer drop, and the SPACE X decline before they even happened. MY NEXT CALL WILL BE THE BIGGEST ONE OF THIS CYCLE. TURN ON NOTIFICATIONS. MOST PEOPLE WILL FOLLOW ME TOO LATE.

$BTC UPDATE My long on #BTC is closed My plan has changed: 1. First long zone – $64,700 (DONE) 2. Second long zone – $62,500/$61,200 (DONE) 3. There is a Head and Shoulders pattern on the 1D chart (DONE) 4. First target – $68,500/$69,400 (DONE) 5. Second target – $72K (DONE) 6. Third target – $76K (SEE EXPLANATION BELOW) 7. After that, I expect the final drop to begin in August/September. Bitcoin reached my targets within two days - this shows the strength of the market at the moment. Therefore, I’m considering the possibility of a new target. As I mentioned before, once $BTC reaches our targets, we should see an altcoin rally - and it has already started. As I said earlier, buying spot through DCA is not a bad idea. My $ETH long is still open, while my $BTC long was closed at $69K. To open a short, I need to see bearish structure first. I’m not going to try to catch a knife, so I haven’t opened a short yet. If anything changes, I’ll let you know! DYOR. REMINDER: I warned about the BTC bull trap at $82K, the summer drop, and the SPACE X decline before they even happened. MY NEXT CALL WILL BE THE BIGGEST ONE OF THIS CYCLE. TURN ON NOTIFICATIONS. MOST PEOPLE WILL FOLLOW ME TOO LATE.

Tony Research

369,848 Aufrufe • vor 25 Tagen

Has been a while since I've given an update so here's a breakdown of where Sappy is at right now and what we're focusing on going into this year. Pre-amble: With altcoins & NFTs the market is definitely not the same as it was before. I think this is obvious to everyone but I've noticed there are still japanese soldiers that are convinced old tricks and mechanics work. They don't. Liquidity is thin; people want to bid assets that feel like "real companies" not vacuous memecoins. There's still room for memecoins, social currencies, and "utility tokens" (I would say without these functions, tokens are hard to justify versus equities). I'm not part of the camp that thinks there will never be hyperspeculation in crypto again, because there will be; we all love ponzis and PvPing each other onchain. Just not with solved games -- people need something new and fresh. So the overarching plan is to continue building for users, sustainable revenues that aren't tied to directly to crypto, and doubling down on the areas that we've already found PMF / Brand Market Fit. Then leaning into crypto during cyclical periods where liquidity is sloshing around at an accelerated rate. Where we've found early PMF / what we're leaning into: Roblox: we're going to continue to go hard and accelerate here. It's our main objective to ship more seal/brainrot focused games across most genres to cast as wide of a net as we can for the brand, and to also iterate and see what works and stays sticky. Our initial incursion into Roblox was very successful peaking at 2M+ MAU and still sustaining a large portion of that player base... for all of its success, that was a relatively amateur first attempt; we've been setting up better AI pipelines for Roblox development that makes it reasonable to ship many more games and 10x those player counts in totality. It's my belief that Roblox is the sandbox whose audience will be the most valuable on the internet once they are grown up. That intense feeling you get when you see a TikTok referencing an old game you enjoyed on the PS2 or the Gamecube, or when you see a Pokemon card is the exact same feeling the youth of today will get when reminiscing on the things they enjoyed engaging with when they were younger. Fortnite and Roblox are functional equivalents to the old school consoles and exactly where that is taking place. Which is why as much as I care about scaling revenues through Roblox, the long term brand equity gained purely through being popular on the platform is totally invaluable. It also can heavily convert to merchandise sales today if all touchpoints for the brand are dialed in (which is why brands get overcharged so much by Roblox dev shops for the same ROI that only cost us a few thousand $). We have the playbook, it's just about iterating new concepts and then aggressively scaling. Brand Expansion & Merchandising: I've started to create a content pipeline that is easily repeatable, cost efficient (costs next to nothing through either AI or smart reusable concepts), while still being very tasteful and meeting our quality standards for the brand. We are mostly focusing here on reaching people where they're at through nostalgic/emotional content, or just being visually stimulating through carefully curated aesthetics. Content that isn't superficial and touches people in a memorable way. I've attached some examples to the post so you can see what I mean rather than just read it. I don't think it's long until larger brands start doing this at scale, but it's always good to be ahead of the curve and most importantly winning on taste -- knowing what will resonate with people and what won't has always been our edge. The purpose for these accounts is not only to rack up attention but also to begin converting those into sales of both of physicals (plushies & gacha collectibles) and digital avenues like our games, and any other apps we produce. Because they're offshoot accounts it's also a lot easier to be aggressive/experimental with said conversion strategies. Sappy Studio: I'm wrapping everything like Omnia, and everything else into this category because they're all tangentially related. Beginning with Omnia, our current focus is gearing up for Season 0 which involves players competing in the ranked ladder for a prize pool that has rewards through Monad Momentum as well as a player-funded prize pool. This season will be fairly simple with us mostly logging retention, deck building habits, as well as qualitatively observing how aggressively players push the combat system. Deeper monetization wont exist yet outside of the player buy-in (to be eligible for P2E rewards). Beyond that our overarching principle this year is to focus heavily on risk-to-earn mechanics where a portion of that excess value is circular i.e. revenues flow back to prize pools or other parts of the economy, treating the game almost like a protocol where the objective is to amass TVL or player liquidity. Social is also a big focus, and that means implementing the Open World hub which from an infrastructure perspective has already been built out and tested by all of you previously. Right now we are scaffolding the environment in 3D and working through how that hub should look and feel, so players are excited to hang out & idle together while they're queuing. For sappydotlol, what I'm about to say is still early days from a design perspective so a lot can change, but I'm pushing the site in the direction of being a virtual game console. An intersection between Nintendo & Myspace where users can play, trade, and socially interact in a way that's deeply personalised; a breathe of fresh air from the hostility of the current internet. If you go back to my thesis on Roblox above and the game console references, you can kind of see how this will all sequentially tie together. In essence, the strategy is to acquire a critical mass of players through traditional platforms like Roblox, and use that attention and trust to provide an onboarding funnel for web2 users into our own sandbox filled with a mixture of our own browser-based experiences as well as an aggregation of others. The aim is to make the platform a breath of fresh air & bunker from the enshittified platforms like TikTok/IG/X where users are actually served in ways that delight rather than agitate, and where self-expression is incentivised. Closing: As always everything here is subject to change but I've never felt more conviction in our direction until now; I know exactly what we need to do and how, with everything aligning with our team's strengths. Very excited and grinding through things to the point where I'm getting headaches and can't sleep from being hyperfocused for long periods of time lol. There probably has never been a better time to join the ecosystem from a price to fuck around and find out perspective.

wab.eth

18,274 Aufrufe • vor 8 Monaten

The Sabotaging Practice of Over Supply and Sameness in the NFT Space. The current zeitgeist of the NFT space is that the same artists are doing the same kind of work five times a year, with project after project leaving a trail of disappointment and discontent among collectors and all of us watching in disbelief as huge resources are extracted from the space over work that feels like it could be left as an "artist study." I understand that you can do what you want with your money as collectors, but we are killing the whole space with this incestuous practice. No artist is that prolific to be able to do 5 collections of 100+ pieces each every year and actually deliver innovation and some kind of creative evolution. Of course, they can pretend play that the work has something new, but there is no precedent nor proof that that has ever happened in the speed that it happens in the NFT space. Again, people are free to through away their resources on whatever they want but with this way of doing things, we more and more are going to start seeing the consequences. Oh! There are consequences? Yes. Maybe unintended, but there are. Let's see. Let's start with the loss of belief in the NFT space as somewhere where emerging artists can come and find support for their experiments. Why even bother to bring experiments, innovation, and new ways to think of art on the blockchain if the same people have all the collectors hypnotized with their magical flutes? Why even try to come to a space where taking risks and challenging the status quo (the mission of art!!!) is overlooked? This makes the NFT space a social club and not a space for art. I guess it is fine, but IMO it is a recipe for disaster. New collectors stay away because the art will slowly but surely become stale and un-challenging. Why even bother to come and see what is happening here if you can't, as a collector, see new weird and up-and-coming artists? The amount of noise emitted by the same artists doing the same art over and over, drowns out any new voices. Again. A recipe for disaster. The NFT space is becoming a space of disappointment and doubt. We think that collections going to zero one after the other, over and over, is not damaging? I feel we are kidding ourselves. Disappointment piles up, and again, the people who will hurt are the emerging artists, the new blood, the ones who are willing to risk the most and, in return, put fire in this cold space of sameness. I love this space—don't get me wrong—it has changed my life, and I believe it has a ton of potential, but things need to change for it to become a beacon of light in art. But we need to support new voices. We need to support new ideas. The challenge is huge. I hope to contribute all I can to this change. I hope more and more see how exciting it is to go out and try to discover what else is out there and move this space forward. But again, I understand the leaps of faith needed, but if there is a space that is based on that, it's the NFT space...so there is hope. We will see. 📺by Boldtron

The Sabotaging Practice of Over Supply and Sameness in the NFT Space. The current zeitgeist of the NFT space is that the same artists are doing the same kind of work five times a year, with project after project leaving a trail of disappointment and discontent among collectors and all of us watching in disbelief as huge resources are extracted from the space over work that feels like it could be left as an "artist study." I understand that you can do what you want with your money as collectors, but we are killing the whole space with this incestuous practice. No artist is that prolific to be able to do 5 collections of 100+ pieces each every year and actually deliver innovation and some kind of creative evolution. Of course, they can pretend play that the work has something new, but there is no precedent nor proof that that has ever happened in the speed that it happens in the NFT space. Again, people are free to through away their resources on whatever they want but with this way of doing things, we more and more are going to start seeing the consequences. Oh! There are consequences? Yes. Maybe unintended, but there are. Let's see. Let's start with the loss of belief in the NFT space as somewhere where emerging artists can come and find support for their experiments. Why even bother to bring experiments, innovation, and new ways to think of art on the blockchain if the same people have all the collectors hypnotized with their magical flutes? Why even try to come to a space where taking risks and challenging the status quo (the mission of art!!!) is overlooked? This makes the NFT space a social club and not a space for art. I guess it is fine, but IMO it is a recipe for disaster. New collectors stay away because the art will slowly but surely become stale and un-challenging. Why even bother to come and see what is happening here if you can't, as a collector, see new weird and up-and-coming artists? The amount of noise emitted by the same artists doing the same art over and over, drowns out any new voices. Again. A recipe for disaster. The NFT space is becoming a space of disappointment and doubt. We think that collections going to zero one after the other, over and over, is not damaging? I feel we are kidding ourselves. Disappointment piles up, and again, the people who will hurt are the emerging artists, the new blood, the ones who are willing to risk the most and, in return, put fire in this cold space of sameness. I love this space—don't get me wrong—it has changed my life, and I believe it has a ton of potential, but things need to change for it to become a beacon of light in art. But we need to support new voices. We need to support new ideas. The challenge is huge. I hope to contribute all I can to this change. I hope more and more see how exciting it is to go out and try to discover what else is out there and move this space forward. But again, I understand the leaps of faith needed, but if there is a space that is based on that, it's the NFT space...so there is hope. We will see. 📺by Boldtron

alejandro cartagena

98,261 Aufrufe • vor 2 Jahren

this is the worst local ai will ever be. it only gets better from here. if you are not expanding your mind with these small models you are missing what's happening right now 99 percent tool call success rate. when steered well with the right skills and a framework like hermes agent the node becomes a cognition layer. not a chatbot. not a toy. an extension of how you think. i was cranking this node at 35 to 50 tok/s all day on personal experiments and now after all the work is done qwen 3.5 9B is iterating on its own code. the game it created. fixing its own bugs autonomously. and the part you should probably not miss is that all of this is happening on a RTX 3060. not an H100. not an A100. the card most of you have sitting in a drawer right now. if you just open that drawer and put that intelligence to work every tensor core on that card should be running for you. your work. your experiments. your thinking. you all have it but because nobody told you what this hardware can actually do in 2026 you never tried. the day it unlocks is the day you test your workload, understand the tradeoffs, debug the loops, and then decide if you need to scale the hardware. there is no point buying 3 mac studios when things done well you can squeeze a similar level of intelligence from 9B compared to 70B. but only when you create the right environment for your model through the right harness. and let me tell you i have tried claude code as a local harness. i have tried opencode. i have tried various others. somehow i landed on hermes agent and never left. there is something magical going on at Nous Research. the tool call parsers, the skills system, the way it handles small models natively. nothing else comes close for local inference. own your cognition. your AI. your agent. your prompts. your experiments. why give them away for free. those are who you are and they don't belong on someone else's servers being monitored. just give it a shot with your existing hardware. you run into a problem the community will help you. and if you are migrating from openclaw to hermes i will personally help you make the switch.

this is the worst local ai will ever be. it only gets better from here. if you are not expanding your mind with these small models you are missing what's happening right now 99 percent tool call success rate. when steered well with the right skills and a framework like hermes agent the node becomes a cognition layer. not a chatbot. not a toy. an extension of how you think. i was cranking this node at 35 to 50 tok/s all day on personal experiments and now after all the work is done qwen 3.5 9B is iterating on its own code. the game it created. fixing its own bugs autonomously. and the part you should probably not miss is that all of this is happening on a RTX 3060. not an H100. not an A100. the card most of you have sitting in a drawer right now. if you just open that drawer and put that intelligence to work every tensor core on that card should be running for you. your work. your experiments. your thinking. you all have it but because nobody told you what this hardware can actually do in 2026 you never tried. the day it unlocks is the day you test your workload, understand the tradeoffs, debug the loops, and then decide if you need to scale the hardware. there is no point buying 3 mac studios when things done well you can squeeze a similar level of intelligence from 9B compared to 70B. but only when you create the right environment for your model through the right harness. and let me tell you i have tried claude code as a local harness. i have tried opencode. i have tried various others. somehow i landed on hermes agent and never left. there is something magical going on at Nous Research. the tool call parsers, the skills system, the way it handles small models natively. nothing else comes close for local inference. own your cognition. your AI. your agent. your prompts. your experiments. why give them away for free. those are who you are and they don't belong on someone else's servers being monitored. just give it a shot with your existing hardware. you run into a problem the community will help you. and if you are migrating from openclaw to hermes i will personally help you make the switch.

Sudo su

58,717 Aufrufe • vor 6 Monaten

I just ran Gemma 4 31B on @CerebrasSystems at 1,800+ tokens/sec and it's multimodal. For context: that's 35x faster than a typical GPU endpoint, and the first token (reasoning included) lands in 1.5 seconds. This isn't a benchmark slide, I recorded the inference live. Prompt I used: "Create a simulation of an iPhone. Include at least one working dummy note taking app, a functional notification pulldown, high quality graphics, single HTML file, any libs via CDN." - Generation time: 3 seconds. - Notes app worked. - Notification panel worked. - Rendered first try. This is what wafer-scale inference unlocks, not just "faster," but a different category of product. When generation is this fast, you stop waiting and start iterating in real time. Why this matters: Gemma 4 31B is Google DeepMind's flagship open weight model, Apache 2.0 licensed, dense (not MoE), and built for efficiency over raw parameter count. It scores close to Claude Haiku 4.5 on the Artificial Analysis Intelligence Index (30 vs 29) but runs ~18x faster on Cerebras. It's also the first multimodal model on Cerebras's platform, meaning you can now feed it screenshots, documents, charts, and UI states at wafer scale speed. # Applications I'm most excited about: - Screenshot → Insight: Drop in a dashboard or document screenshot, get structured findings back instantly. no waiting, no batching. - Live UI generation: Full interactive interfaces (like my iPhone sim) generated and rendered in under 2 seconds. - Screenshot -> Patch: Feed it a broken UI + console error, get a minimal code fix and verification steps back. - Computer use & agentic loops: See -> reason -> act - verify, fast enough to keep a human in the loop instead of waiting on the model. - Long context summarization: Full research reports condensed into decision ready summaries you can read and requery in one sitting. The bigger unlock isn't the speed number itself, it's that agentic and multimodal loops (see -> reason -> output -> tool call -> verify -> retry) finally run in real time instead of feeling sluggish. As Logan Kilpatrick (Logan Kilpatrick) put it: "If every model was doing 2,000 tokens per second, you wouldn't build the same product and just have it be faster, you'd build different products." Gemma 4 31B is live now on Cerebras Inference Cloud in public preview. If you're building multimodal, agentic, or real time apps, this is worth testing today. What would you build with such insane inference throughput?

I just ran Gemma 4 31B on @CerebrasSystems at 1,800+ tokens/sec and it's multimodal. For context: that's 35x faster than a typical GPU endpoint, and the first token (reasoning included) lands in 1.5 seconds. This isn't a benchmark slide, I recorded the inference live. Prompt I used: "Create a simulation of an iPhone. Include at least one working dummy note taking app, a functional notification pulldown, high quality graphics, single HTML file, any libs via CDN." - Generation time: 3 seconds. - Notes app worked. - Notification panel worked. - Rendered first try. This is what wafer-scale inference unlocks, not just "faster," but a different category of product. When generation is this fast, you stop waiting and start iterating in real time. Why this matters: Gemma 4 31B is Google DeepMind's flagship open weight model, Apache 2.0 licensed, dense (not MoE), and built for efficiency over raw parameter count. It scores close to Claude Haiku 4.5 on the Artificial Analysis Intelligence Index (30 vs 29) but runs ~18x faster on Cerebras. It's also the first multimodal model on Cerebras's platform, meaning you can now feed it screenshots, documents, charts, and UI states at wafer scale speed. # Applications I'm most excited about: - Screenshot → Insight: Drop in a dashboard or document screenshot, get structured findings back instantly. no waiting, no batching. - Live UI generation: Full interactive interfaces (like my iPhone sim) generated and rendered in under 2 seconds. - Screenshot -> Patch: Feed it a broken UI + console error, get a minimal code fix and verification steps back. - Computer use & agentic loops: See -> reason -> act - verify, fast enough to keep a human in the loop instead of waiting on the model. - Long context summarization: Full research reports condensed into decision ready summaries you can read and requery in one sitting. The bigger unlock isn't the speed number itself, it's that agentic and multimodal loops (see -> reason -> output -> tool call -> verify -> retry) finally run in real time instead of feeling sluggish. As Logan Kilpatrick (Logan Kilpatrick) put it: "If every model was doing 2,000 tokens per second, you wouldn't build the same product and just have it be faster, you'd build different products." Gemma 4 31B is live now on Cerebras Inference Cloud in public preview. If you're building multimodal, agentic, or real time apps, this is worth testing today. What would you build with such insane inference throughput?

Alok

12,962 Aufrufe • vor 2 Monaten

I took this lesson a few days ago,one of the clearest breakdowns of how Jupiter Swap works. Let me walk you through it. So first,what even IS a Swap? Think of it like Spot Trading in traditional finance. You’re just trading one currency for another at the current market rate, except here it’s digital assets. USDC for SOL. Instant. On-chain. Simple enough. But here’s where it gets interesting…... The moment you go to swap, Jupiter doesn’t just grab the first price it sees,it aggregates liquidity from major sources. That's where Ultra V3 kicks in — think of it like an institutional trading desk firing up behind the scenes. It scans the ENTIRE market, aggregates liquidity from every major source, and routes your trade through the most efficient path possible. You’re not just getting A price for your trade. You’re getting THE best price. But it doesn’t stop there….. 🎯 Real-Time Slippage Estimation (RTSE) is running simultaneously — monitoring slippage live so your swap tolerance stays as tight as possible. No surprises. No overpaying. And on qualifying pairs? Jupiter covers the gas entirely. You just swap. That’s the Gasless feature, look for the icon when you’re executing. 📚 Two concepts you need to understand 💧 Liquidity —> How deep the market is. Deep liquidity means you can make large trades without moving the price against yourself. Jupiter taps the deepest pools on the network. 📉 Slippage —> The gap between what you were quoted and what you actually get. Volatile markets cause this. Ultra V3’s RTSE exists specifically to close that gap. ━━━━━━━━━━━━━━━ 🚀 Ready to swap? Here’s all you do ━━━━━━━━━━━━━━━ 1️⃣ Open the Trade tab → pick your Sell & Buy assets 2️⃣ Check the Execution Path — Jupiter shows you exactly how it’s routing your trade 3️⃣ Spot the Gasless icon if it applies 4️⃣ Hit Swap. Done. On-chain in seconds. And this is why the saying exists — If you want to swap smarter, Just Use Jupiter.

I took this lesson a few days ago,one of the clearest breakdowns of how Jupiter Swap works. Let me walk you through it. So first,what even IS a Swap? Think of it like Spot Trading in traditional finance. You’re just trading one currency for another at the current market rate, except here it’s digital assets. USDC for SOL. Instant. On-chain. Simple enough. But here’s where it gets interesting…... The moment you go to swap, Jupiter doesn’t just grab the first price it sees,it aggregates liquidity from major sources. That's where Ultra V3 kicks in — think of it like an institutional trading desk firing up behind the scenes. It scans the ENTIRE market, aggregates liquidity from every major source, and routes your trade through the most efficient path possible. You’re not just getting A price for your trade. You’re getting THE best price. But it doesn’t stop there….. 🎯 Real-Time Slippage Estimation (RTSE) is running simultaneously — monitoring slippage live so your swap tolerance stays as tight as possible. No surprises. No overpaying. And on qualifying pairs? Jupiter covers the gas entirely. You just swap. That’s the Gasless feature, look for the icon when you’re executing. 📚 Two concepts you need to understand 💧 Liquidity —> How deep the market is. Deep liquidity means you can make large trades without moving the price against yourself. Jupiter taps the deepest pools on the network. 📉 Slippage —> The gap between what you were quoted and what you actually get. Volatile markets cause this. Ultra V3’s RTSE exists specifically to close that gap. ━━━━━━━━━━━━━━━ 🚀 Ready to swap? Here’s all you do ━━━━━━━━━━━━━━━ 1️⃣ Open the Trade tab → pick your Sell & Buy assets 2️⃣ Check the Execution Path — Jupiter shows you exactly how it’s routing your trade 3️⃣ Spot the Gasless icon if it applies 4️⃣ Hit Swap. Done. On-chain in seconds. And this is why the saying exists — If you want to swap smarter, Just Use Jupiter.

Sam || Jupiter Legion 😺😺

34,526 Aufrufe • vor 5 Monaten