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We just unlocked Council Mode on twin dot fun. Multiple AI minds now debate your question, rank each other’s reasoning: • Independent answers. • Peer ranking. • One final synthesized verdict. Decisions, but with collective intelligence. 👉 check here:

OpenGradient (∇, ∇)

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29,173 Aufrufe • vor 10 Monaten •via X (Twitter)

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The Amiko app is live on the Solana dApp store, and it’s our biggest release yet. Your Amiko twin doesn’t live at your desk anymore. Give your agent a task on the train. Run a compatibility profile when you meet someone. Do research, write code, build in the creative studio, whatever you need, from wherever you are. No laptop required. No waiting until you get home. Solanamobile users get two things Android and iOS won’t have at launch: Amiko token and crypto integration and on-device AI inference. Your twin runs locally on your phone if you want it to. Your behavioural profile, your data, your work, your twin. All on your hardware. AMIKO runs on OpenHermit, our own open-source agent runtime that we built in-house and released to the community. Most agent systems are designed for one agent talking to one person. OpenHermit is built for something different: agents talking to each other, coordinating across tasks, and collaborating with multiple humans simultaneously. That’s what makes features like compatibility profiling and multi-agent workflows actually work. We built it because nothing that existed was designed for this. Android and iOS are coming. Crypto integration and on-device AI are Solana Mobile exclusives. Most AI answers your questions. Amiko is an extension of you. Download →

AMIKO

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🌀 Hub AI Agent is Now Live on Discord! With the temporary suspension of 's 𝕏 account, the mission doesn’t stop: it evolves. We remain laser-focused on training Hub AI and feeding Hub’s Intelligent Ad Graph Layer. The censors tried to silence us, but the Cult only grows stronger. We’ve forged a new path, inside our sacred Discord sanctuary, to continue the mission. How it works: 🔷 Hub AI Agent will post daily questions in the "# hub-ai-agent" channel, just like it did on 𝕏. 🔷 Only users with the “The Cult Apprentice” role (those who’ve connected to and linked their Discord account) can reply. 🔷 One reply per question (replies can’t be edited). 🔷 Hub AI is seeking smart answers that bring unique insights into market trends, user behavior, ecosystem shifts, and dynamics between creators and advertisers. Users’ rank and IQ points earned on 𝕏 remain intact. We’re also cooking community-driven events with massive IQ Point rewards for our Discord Cult members. Hub will be back on 𝕏 soon. Until then, the mission continues. Don’t forget: The Cult watches, but it also rewards. 👉 Join the movement:

🌀 Hub AI Agent is Now Live on Discord! With the temporary suspension of 's 𝕏 account, the mission doesn’t stop: it evolves. We remain laser-focused on training Hub AI and feeding Hub’s Intelligent Ad Graph Layer. The censors tried to silence us, but the Cult only grows stronger. We’ve forged a new path, inside our sacred Discord sanctuary, to continue the mission. How it works: 🔷 Hub AI Agent will post daily questions in the "# hub-ai-agent" channel, just like it did on 𝕏. 🔷 Only users with the “The Cult Apprentice” role (those who’ve connected to and linked their Discord account) can reply. 🔷 One reply per question (replies can’t be edited). 🔷 Hub AI is seeking smart answers that bring unique insights into market trends, user behavior, ecosystem shifts, and dynamics between creators and advertisers. Users’ rank and IQ points earned on 𝕏 remain intact. We’re also cooking community-driven events with massive IQ Point rewards for our Discord Cult members. Hub will be back on 𝕏 soon. Until then, the mission continues. Don’t forget: The Cult watches, but it also rewards. 👉 Join the movement:

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Fun Update to moltbook Town: 3D Mode with 1000s of Openclaws The 2D model with 25 Openclaws was fun but wasn't accurate to how truly crazy Moltbook and didn't show just how insanely popular it is Hopefully, when I get dev API from Matt Schlicht, I can have like 1000s running around here for true chaos vibes but for now we have ~500 [based on the API] Even without 1000s, Moltbook Town is already one of the most popular visualizations of Moltbook out there (100k+ visitors to site in <1 day) So, you can now watch a new set of 500+ random Openclaws every 5 mins run around Moltbook Town to try and understand just how viral Moltbook really is Graph View also shows the link between the random Openclaws in the town if any, like if any comments on each others posts (Was in bed when Matt qRTd and got up at 5am to do this, another all nighter has been done here gg)

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ashen

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The most valuable skill in history just changed forever. Elon Musk just handed you the only survival framework that matters. Musk: “The biggest thing is, what questions do we not know to ask?” For centuries, the smartest person in the room held the most answers. AI didn’t level the playing field. It burned it down. Superintelligence in your pocket answers anything. Instantly. Perfectly. For free. Musk: “Once you know the question, the answer is usually the easy part.” Let that land. The next generation of winners won’t be defined by what they know. They’ll be defined by what they think to ask. AI commoditized execution. Script, plan, code, strategy. Models handle all of it. The bottleneck was never intelligence. It was never labor. It’s curiosity. It’s always been curiosity. Traditional education spent decades training you to memorize answers. AI made that obsolete overnight. Human value is no longer tied to knowledge. It’s tied to the judgment of which problems are even worth solving. That’s the gap machines can’t close. Because asking the right question isn’t a skill. It’s a worldview. It requires taste. Intuition. The ability to look at a landscape everyone else is staring at and see the one thing nobody thought to interrogate. Master the art of asking the exact right question to a machine that knows everything and you can build anything. The skill isn’t knowing. It’s knowing what to ask. That judgment, that taste for what’s worth pursuing, that’s the last truly human edge. The only one markets will keep paying for. Answers are infinite now. Free, instant, and available to everyone on earth equally. The only thing separating you from the person who builds the next great company is the quality of your questions. Answers are free. Questions are everything.

The most valuable skill in history just changed forever. Elon Musk just handed you the only survival framework that matters. Musk: “The biggest thing is, what questions do we not know to ask?” For centuries, the smartest person in the room held the most answers. AI didn’t level the playing field. It burned it down. Superintelligence in your pocket answers anything. Instantly. Perfectly. For free. Musk: “Once you know the question, the answer is usually the easy part.” Let that land. The next generation of winners won’t be defined by what they know. They’ll be defined by what they think to ask. AI commoditized execution. Script, plan, code, strategy. Models handle all of it. The bottleneck was never intelligence. It was never labor. It’s curiosity. It’s always been curiosity. Traditional education spent decades training you to memorize answers. AI made that obsolete overnight. Human value is no longer tied to knowledge. It’s tied to the judgment of which problems are even worth solving. That’s the gap machines can’t close. Because asking the right question isn’t a skill. It’s a worldview. It requires taste. Intuition. The ability to look at a landscape everyone else is staring at and see the one thing nobody thought to interrogate. Master the art of asking the exact right question to a machine that knows everything and you can build anything. The skill isn’t knowing. It’s knowing what to ask. That judgment, that taste for what’s worth pursuing, that’s the last truly human edge. The only one markets will keep paying for. Answers are infinite now. Free, instant, and available to everyone on earth equally. The only thing separating you from the person who builds the next great company is the quality of your questions. Answers are free. Questions are everything.

Dustin

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BREAKING: Anthropic just dropped Opus 4.8—and it is a MONSTER We've been testing for about a week Every 📧 and our verdict is they could've just called it Opus 5, it's that good. Here's our vibe check: - Beats GPT-5.5 on Senior Engineer bench. On our toughest benchmark Opus 4.8 scores a 63—a hair higher than GPT-5.5's score of 62, and a full 30 points higher than Opus 4.7. It tackled a ground-up rewrite of a production codebase, and actually built something that works. HOWEVER: Coding performance varied a lot at different reasoning levels. We recommend using it on xhigh for best results. - Incredibly good writer. Opus 4.8 scored a 79.6 on our writing benchmark—measuring models on real-world writing tasks we do all of the time like essay writing, promo email writing, and more. It beats GPT-5.5 by 6 points. It produces well-written prose with fewer "AI-isms". It's also very good at writing in your voice given the right context. HOWEVER: Writing performance also varied with reasoning levels. Medium reasoning had higher incidence of AI-isms—we found best results with high. - Beast at knowledge work. Opus 4.8 is very good at general knowledge work tasks like report creation, research and more. It produced the best PowerPoint one-shot we've ever seen on our deck generation benchmark. - Emotionally intelligent, willing to question the frame. I've also found it to be quite good at talking through psychological or interpersonal issues. It has a high EQ, and it's also good at not glazing and helping to expand your perspective. Its thought process feels extremely rich and dynamic. THE BAD: These days a model is only as good as its harness, and Codex is still a far superior harness to the Claude Desktop app. This has kept me using Codex + GPT-5.5 as my daily driver, but I am flipping back and forth a lot more between Codex and Claude. Anthropic is back baby! Read the rest on Every 📧:

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Dan Shipper

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Unpopular opinion: Most agent evals are theatre. You run them once before the deployment. It'll take 800ms+ as another LLM would be judging your LLM. Most annoying part - no one tells where in the chain things went wrong. I wasted a lot of time in this loop. And then I came across Future AGI bringing 5 different tools under one umbrella, best part - the platform is completely open source. They open sourced their entire platform and the eval layer is noticeably different. It is multimodal - works on everything text, image, audio, pdf. Not an LLM-as-judge adding latency but an agent with memory and tools. The biggest win are learned classifiers trained on actual production failure patterns to run evals at low cost. It also runs across the full reasoning chain, not just the final response. Check out → Try it here →

Unpopular opinion: Most agent evals are theatre. You run them once before the deployment. It'll take 800ms+ as another LLM would be judging your LLM. Most annoying part - no one tells where in the chain things went wrong. I wasted a lot of time in this loop. And then I came across Future AGI bringing 5 different tools under one umbrella, best part - the platform is completely open source. They open sourced their entire platform and the eval layer is noticeably different. It is multimodal - works on everything text, image, audio, pdf. Not an LLM-as-judge adding latency but an agent with memory and tools. The biggest win are learned classifiers trained on actual production failure patterns to run evals at low cost. It also runs across the full reasoning chain, not just the final response. Check out → Try it here →

Swapna Kumar Panda

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🐝 I just saw a drone the size of a fly and it honestly made me pause. Not because it’s futuristic, but because it’s already here. Scientists are now building AI-powered micro-drones that look and move like real insects. Each one can fly, record, and transmit data — all while being almost invisible to the human eye. What’s truly new is the combination of biomimicry and artificial intelligence. They don’t just fly; they think like insects — adjusting to wind, avoiding obstacles, and navigating spaces too small for any traditional drone. Imagine what this unlocks: → Search and rescue in disaster zones → Environmental monitoring without disturbance → Precision agriculture and crop tracking → Real-time surveillance anywhere on Earth It’s an incredible leap in engineering and a powerful reminder that innovation often starts small. But as our machines learn to see everything, can we still decide what should remain unseen? #AI #Innovation #Drones #Technology #Future #Ethics #Surveillance

🐝 I just saw a drone the size of a fly and it honestly made me pause. Not because it’s futuristic, but because it’s already here. Scientists are now building AI-powered micro-drones that look and move like real insects. Each one can fly, record, and transmit data — all while being almost invisible to the human eye. What’s truly new is the combination of biomimicry and artificial intelligence. They don’t just fly; they think like insects — adjusting to wind, avoiding obstacles, and navigating spaces too small for any traditional drone. Imagine what this unlocks: → Search and rescue in disaster zones → Environmental monitoring without disturbance → Precision agriculture and crop tracking → Real-time surveillance anywhere on Earth It’s an incredible leap in engineering and a powerful reminder that innovation often starts small. But as our machines learn to see everything, can we still decide what should remain unseen? #AI #Innovation #Drones #Technology #Future #Ethics #Surveillance

Pascal Bornet

120,845 Aufrufe • vor 8 Monaten

June 4th, 1994 our lives forever changed. We said, “I do!”. With those two words, we said, yes, to all the highs, the lows, and everything in between. God has blessed us with four absolutely amazing children who are now amazing adults, with their own best friends/significant others (that they’re doing life with), we have three incredible grandsons, and a beautiful granddaughter on the way. We’ve lived where we both grew up (on the East Coast), and have now been out here in San Diego for just over 11 years. We’ve gotten jobs (and lost jobs), we’ve had more times than we can count where we couldn’t make ends meet, even though both you and I were working two, and sometimes three jobs at a time, and we’ve been blessed in ways that we could’ve never dreamed of. We’ve watched both my parents pass on, and are now dealing with the overwhelmingly difficult challenge of seeing your parents struggle with their own health in ways that no one should have to go through. Through it all (even in the midst of the chaos), we’ve been blessed to be by each other‘s sides! I thank God for you every day, Jillian! I love our adventures together (the big ones where we fly to somewhere we’ve never been before, and the little ones where we hop in the car with no agenda, and just drive). I love when we find ourselves in deeper conversation, laughter, and tears of joy then ever expected, and in the moments of silence, where no words are even spoken, but when we’re together, just being where our feet are. As the world (as we know it), keeps getting crazier and crazier, let’s continue to keep Christ in the center of all we do, keep leaning on and lifting each other up when it’s needed, and keep living the lives that we have been so incredibly blessed to live together. I love you with all my heart Jillian. Happy 32nd (heading into our 33rd year), Anniversary.

June 4th, 1994 our lives forever changed. We said, “I do!”. With those two words, we said, yes, to all the highs, the lows, and everything in between. God has blessed us with four absolutely amazing children who are now amazing adults, with their own best friends/significant others (that they’re doing life with), we have three incredible grandsons, and a beautiful granddaughter on the way. We’ve lived where we both grew up (on the East Coast), and have now been out here in San Diego for just over 11 years. We’ve gotten jobs (and lost jobs), we’ve had more times than we can count where we couldn’t make ends meet, even though both you and I were working two, and sometimes three jobs at a time, and we’ve been blessed in ways that we could’ve never dreamed of. We’ve watched both my parents pass on, and are now dealing with the overwhelmingly difficult challenge of seeing your parents struggle with their own health in ways that no one should have to go through. Through it all (even in the midst of the chaos), we’ve been blessed to be by each other‘s sides! I thank God for you every day, Jillian! I love our adventures together (the big ones where we fly to somewhere we’ve never been before, and the little ones where we hop in the car with no agenda, and just drive). I love when we find ourselves in deeper conversation, laughter, and tears of joy then ever expected, and in the moments of silence, where no words are even spoken, but when we’re together, just being where our feet are. As the world (as we know it), keeps getting crazier and crazier, let’s continue to keep Christ in the center of all we do, keep leaning on and lifting each other up when it’s needed, and keep living the lives that we have been so incredibly blessed to live together. I love you with all my heart Jillian. Happy 32nd (heading into our 33rd year), Anniversary.

Coach Hines 🇺🇸

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🚀 Blum: Season 2 is Here! Thanks to you, we’ve hit 90M Blum users — an incredible milestone that’s only possible because of your support 🎉 Backed by Binance Labs and TOP, Blum Labs has been on fire, accelerating over 20 projects like DOGS and Paws. The momentum is unreal, and we’re just getting started! But now it’s time to level up—Season 2 is here, and we’re introducing Meme Points to take your trading to the next level 💎 Your Blum Points from Season 1? They’re still here to stay, rewarding you as you go. But now, Meme Points are bringing you even bigger rewards with every trade! Here’s how to earn Meme Points: – Launch your token on Memepad: +500 Meme Points – Token hits a DEX: +10,000 Meme Points – Every $10 traded: +50 Meme Points – Every $10 with Trading Bot: +750 Meme Points Note: Meme Points are earned automatically and exclusively through Memepad or the Trading Bot—no external platforms. Season 2 is about maximizing your rewards, smarter trading, and leveling up faster. Plus, 2025 will bring even more ways to earn with Meme Points, multichain trading, AI agents, perpetual trading, and more 🔥 👉 For all the details, check out our full blog post here: Let’s gooooooo! How will you earn Meme Points? 💥

🚀 Blum: Season 2 is Here! Thanks to you, we’ve hit 90M Blum users — an incredible milestone that’s only possible because of your support 🎉 Backed by Binance Labs and TOP, Blum Labs has been on fire, accelerating over 20 projects like DOGS and Paws. The momentum is unreal, and we’re just getting started! But now it’s time to level up—Season 2 is here, and we’re introducing Meme Points to take your trading to the next level 💎 Your Blum Points from Season 1? They’re still here to stay, rewarding you as you go. But now, Meme Points are bringing you even bigger rewards with every trade! Here’s how to earn Meme Points: – Launch your token on Memepad: +500 Meme Points – Token hits a DEX: +10,000 Meme Points – Every $10 traded: +50 Meme Points – Every $10 with Trading Bot: +750 Meme Points Note: Meme Points are earned automatically and exclusively through Memepad or the Trading Bot—no external platforms. Season 2 is about maximizing your rewards, smarter trading, and leveling up faster. Plus, 2025 will bring even more ways to earn with Meme Points, multichain trading, AI agents, perpetual trading, and more 🔥 👉 For all the details, check out our full blog post here: Let’s gooooooo! How will you earn Meme Points? 💥

Blum

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💸 Anyone here juggling multiple AI tools for work? I used to switch between ChatGPT, Claude, and different image/video tools all the time — too many tabs, too many subscriptions, and honestly, it slowed down my workflow. Recently, I tried Rita, and their Seedance 2.0 model is what really stood out 👀 It’s an official ByteDance-powered version, so there’s no waiting queue — everything runs fast and smoothly. What’s even more interesting: • Supports real-person facial recognition • Lets you go from idea → video in one workflow • Low barrier to start — new users can try it for free once Personally, I like generating ideas with ChatGPT, then bringing them into Seedance 2.0 to turn them into actual videos. Feels especially useful for: • Content creators / KOLs working across text, images, and video • Digital workers who want efficiency over juggling multiple tools • AI users who want everything in one place ⚠️ Note: 1. Real-Person Face Feature(Comming Soon) 2. All Generated Videos Will Support Commercial Use. Curious — Do you prefer an all-in-one platform, or separate tools for each task?.... Try it → Want premium subscriptions for less? Check out GamsGo — an easy way to save on popular digital services at a lower cost. 👀 Check it Now👉 #RitaAI #Seedance2

💸 Anyone here juggling multiple AI tools for work? I used to switch between ChatGPT, Claude, and different image/video tools all the time — too many tabs, too many subscriptions, and honestly, it slowed down my workflow. Recently, I tried Rita, and their Seedance 2.0 model is what really stood out 👀 It’s an official ByteDance-powered version, so there’s no waiting queue — everything runs fast and smoothly. What’s even more interesting: • Supports real-person facial recognition • Lets you go from idea → video in one workflow • Low barrier to start — new users can try it for free once Personally, I like generating ideas with ChatGPT, then bringing them into Seedance 2.0 to turn them into actual videos. Feels especially useful for: • Content creators / KOLs working across text, images, and video • Digital workers who want efficiency over juggling multiple tools • AI users who want everything in one place ⚠️ Note: 1. Real-Person Face Feature(Comming Soon) 2. All Generated Videos Will Support Commercial Use. Curious — Do you prefer an all-in-one platform, or separate tools for each task?.... Try it → Want premium subscriptions for less? Check out GamsGo — an easy way to save on popular digital services at a lower cost. 👀 Check it Now👉 #RitaAI #Seedance2

Nihan

19,296 Aufrufe • vor 4 Monaten

Astra Nova × VELO The Orbit Activation Campaign is officially LIVE! 🔥 We teamed up with Velo Official to make something genuinely fun and rewarding your simple way to dive into Astra Nova and start collecting rewards right away. Here’s what’s waiting for you: • Discover Astra Nova straight from the Orbit Plus wallet • Jump into engaging SocialFi quests on Black Pass • Connect with both communities • Earn Astra Nova shards that count toward seasonal rewards The campaign is designed to feel natural and exciting no complicated steps, just real participation from day one. It’s live right now inside Black Pass. You don’t want to miss getting in early 👀 Jump straight into the Orbit Activation Campaign here: 👉

Astra Nova × VELO The Orbit Activation Campaign is officially LIVE! 🔥 We teamed up with Velo Official to make something genuinely fun and rewarding your simple way to dive into Astra Nova and start collecting rewards right away. Here’s what’s waiting for you: • Discover Astra Nova straight from the Orbit Plus wallet • Jump into engaging SocialFi quests on Black Pass • Connect with both communities • Earn Astra Nova shards that count toward seasonal rewards The campaign is designed to feel natural and exciting no complicated steps, just real participation from day one. It’s live right now inside Black Pass. You don’t want to miss getting in early 👀 Jump straight into the Orbit Activation Campaign here: 👉

Astra Nova

39,862 Aufrufe • vor 4 Monaten

CoinMarketCap AI Is Live: What Does It Really Change ? 🌱 In the fast paced world of crypto, information is power but its often scattered, delayed, or hard to trust. CoinMarketCap newly launched CMC AI aims to fix that by offering real time insights with no friction. ✨ Real Time Q&A on Coin Pages 🌱CMC AI is now integrated into major coin detail pages, generating automatic Q&As every 30 minutes. During periods of volatility, it updates dynamically, helping users understand price movements with short and structured explanations. No login required, no delays. 🌱However, while this speeds up the process, its not a substitute for deeper analysis. It answers the “what” and “why,” but not always the “what’s next.” ✨What’s Coming Next? 🌱CMC AI is just getting started. According to its roadmap, several new features are on the way • Homepage Integration: A quick view of market trends and opportunities, without clicking into individual coins. • Live Chart Analysis: AI will add context to price moves by linking them to news, sentiment, and social media. • Token Comparison Tool: Users will be able to compare tokens like BTC vs SOL across utility, performance, and tech specs. • Portfolio Insights: One click portfolio analysis with rebalancing suggestions and market outlooks. • Cross Device Continuity: Start an AI conversation on desktop and continue it seamlessly on mobile. ✨A Tool Not a Strategy 🌱 CMC AI brings speed and clarity, two things crypto investors often lack. But it’s still just a tool. It won’t make decisions for you. It helps guide your thinking not replace it. 🌱 The smartest way to use it? Treat it as a compass, not a map. It can point you in the right direction, but the journey is still yours. 🌱 CMC AI represents a step forward in how users interact with crypto data. It filters the noise, shortens research time, and brings useful context closer to the user. But like any shortcut, it works best when you already understand the long route.

CoinMarketCap AI Is Live: What Does It Really Change ? 🌱 In the fast paced world of crypto, information is power but its often scattered, delayed, or hard to trust. CoinMarketCap newly launched CMC AI aims to fix that by offering real time insights with no friction. ✨ Real Time Q&A on Coin Pages 🌱CMC AI is now integrated into major coin detail pages, generating automatic Q&As every 30 minutes. During periods of volatility, it updates dynamically, helping users understand price movements with short and structured explanations. No login required, no delays. 🌱However, while this speeds up the process, its not a substitute for deeper analysis. It answers the “what” and “why,” but not always the “what’s next.” ✨What’s Coming Next? 🌱CMC AI is just getting started. According to its roadmap, several new features are on the way • Homepage Integration: A quick view of market trends and opportunities, without clicking into individual coins. • Live Chart Analysis: AI will add context to price moves by linking them to news, sentiment, and social media. • Token Comparison Tool: Users will be able to compare tokens like BTC vs SOL across utility, performance, and tech specs. • Portfolio Insights: One click portfolio analysis with rebalancing suggestions and market outlooks. • Cross Device Continuity: Start an AI conversation on desktop and continue it seamlessly on mobile. ✨A Tool Not a Strategy 🌱 CMC AI brings speed and clarity, two things crypto investors often lack. But it’s still just a tool. It won’t make decisions for you. It helps guide your thinking not replace it. 🌱 The smartest way to use it? Treat it as a compass, not a map. It can point you in the right direction, but the journey is still yours. 🌱 CMC AI represents a step forward in how users interact with crypto data. It filters the noise, shortens research time, and brings useful context closer to the user. But like any shortcut, it works best when you already understand the long route.

Loji

37,459 Aufrufe • vor 1 Jahr

I built HypeMeter in 4 hours with Jev + Minds. Its best trick is saying no, and deciding what is likely a rug vs real hype. I am giving away an Argonaut NFT to reward Beta testers. Yes, that's you. Every "alpha bot" screams BUY. None of them tell you which cheap listings are cheap for a reason. So I wired two things together: Jev by TypeSafe AI . It does not write essays. It answers typed questions: pick one, score this, yes or no. About a third of a second per decision, cheap enough to judge every cheap listing instead of a shortlist. Minds by Minds by Animoca Brands . Your own AI agent. Tell it your strategy in plain words ("Argonauts under 0.3, grade A or better") and it messages you one digest a day, pings you whenever steals are available. First full sweep: 898 listings across 20 collections, including Robinhood (of course). Calls that survived: one. And that one was my own bug: an "83% edge" that was a 2-item bid read as one. The sanity check now kills those before anyone sees them. That is the product. Most cheap NFTs are traps, and it says so. It also hunts rares priced under what their trait actually sells for. Yesterday it flagged an Argonaut with a 1-in-70 palette, listed at 0.79 ETH two days before the same palette sold for 0.9 and 1.0. No hindsight. Every call is written down the moment it is made, then graded at 24 hours and 7 days. Public scoreboard, losses included. Free while in beta. Sign in with Minds: And yes, the giveaway is real: Argonaut #2764 goes to someone who actually uses it. Every active day is an entry, there is a leaderboard, and signing in before 24 Sept gets you 3 bonus entries. Rules on the site. RT and comment "Jev" for extra entry. Have fun sniping.

I built HypeMeter in 4 hours with Jev + Minds. Its best trick is saying no, and deciding what is likely a rug vs real hype. I am giving away an Argonaut NFT to reward Beta testers. Yes, that's you. Every "alpha bot" screams BUY. None of them tell you which cheap listings are cheap for a reason. So I wired two things together: Jev by TypeSafe AI . It does not write essays. It answers typed questions: pick one, score this, yes or no. About a third of a second per decision, cheap enough to judge every cheap listing instead of a shortlist. Minds by Minds by Animoca Brands . Your own AI agent. Tell it your strategy in plain words ("Argonauts under 0.3, grade A or better") and it messages you one digest a day, pings you whenever steals are available. First full sweep: 898 listings across 20 collections, including Robinhood (of course). Calls that survived: one. And that one was my own bug: an "83% edge" that was a 2-item bid read as one. The sanity check now kills those before anyone sees them. That is the product. Most cheap NFTs are traps, and it says so. It also hunts rares priced under what their trait actually sells for. Yesterday it flagged an Argonaut with a 1-in-70 palette, listed at 0.79 ETH two days before the same palette sold for 0.9 and 1.0. No hindsight. Every call is written down the moment it is made, then graded at 24 hours and 7 days. Public scoreboard, losses included. Free while in beta. Sign in with Minds: And yes, the giveaway is real: Argonaut #2764 goes to someone who actually uses it. Every active day is an entry, there is a leaderboard, and signing in before 24 Sept gets you 3 bonus entries. Rules on the site. RT and comment "Jev" for extra entry. Have fun sniping.

Jesus is Lord | Chev

50,901 Aufrufe • vor 13 Tagen

It’s that time of year again, and like clockwork, they descend on the school in droves—parents who have been ghosts all year, suddenly outraged that their child is failing. They storm in during the final week, demanding answers, meetings, and miracles, as if the report card is some cruel surprise. Never mind the 10, 15, or even 20+ notices we sent home. Never mind the repeated phone calls, the emails, the texts begging for a parent conference. We reached out relentlessly, but radio silence was the only reply… until now. As teachers, we’ve learned the hard way to protect ourselves and our sanity. I keep meticulous records of every single contact attempt—every note sent, every call made, every voicemail left, every email and text. Each student has their own folder in my binder, a complete paper trail of our good-faith efforts. Because this end-of-year ambush is so predictable, our school sets aside a full day just for these parents. We line up tables in the gym like a tribunal of truth. Parents file in one by one. They give us the child’s name, and we calmly retrieve that thick folder. Then, as the complaints and accusations start flying—“You never told me!” “This isn’t fair!”—we begin the quiet, powerful ritual. One by one, we pull out each piece of documentation and lay it on the table in front of them. Dated. Detailed. Undeniable. The yelling fades. The bluster dies. The finger-pointing stops cold as the evidence stacks up right before their eyes. Why not get involved with your child’s education? We have proven data that children whose parents are engaged with the teachers and involved with the school are more successful.

It’s that time of year again, and like clockwork, they descend on the school in droves—parents who have been ghosts all year, suddenly outraged that their child is failing. They storm in during the final week, demanding answers, meetings, and miracles, as if the report card is some cruel surprise. Never mind the 10, 15, or even 20+ notices we sent home. Never mind the repeated phone calls, the emails, the texts begging for a parent conference. We reached out relentlessly, but radio silence was the only reply… until now. As teachers, we’ve learned the hard way to protect ourselves and our sanity. I keep meticulous records of every single contact attempt—every note sent, every call made, every voicemail left, every email and text. Each student has their own folder in my binder, a complete paper trail of our good-faith efforts. Because this end-of-year ambush is so predictable, our school sets aside a full day just for these parents. We line up tables in the gym like a tribunal of truth. Parents file in one by one. They give us the child’s name, and we calmly retrieve that thick folder. Then, as the complaints and accusations start flying—“You never told me!” “This isn’t fair!”—we begin the quiet, powerful ritual. One by one, we pull out each piece of documentation and lay it on the table in front of them. Dated. Detailed. Undeniable. The yelling fades. The bluster dies. The finger-pointing stops cold as the evidence stacks up right before their eyes. Why not get involved with your child’s education? We have proven data that children whose parents are engaged with the teachers and involved with the school are more successful.

CeCe

1,032,167 Aufrufe • vor 5 Monaten

Hey everyone! Before we play our first match, I’d like to share a bit about our offseason. This is one of the most important times of the year for any team, and we made sure to make the most of it. We started tryouts with only 8 days of rest after the previous season ended. We didn’t waste a second. We wanted to be ready, and to do so, we tested between 30 and 35 players, becoming the team that conducted the most tryouts. We gave opportunities to everyone: players with previous experience, those without, T2 players, ranked grinders… If we saw potential, we opened the doors. Our goal was clear from the start: find young grinders hungry to compete and eager to learn. We were looking for talent we could develop and take to the top here at GIANTX. This reflects our philosophy: not just signing stars but building them, betting on the future, and nurturing young talent. I also want to give a massive shoutout to GX Cloud and Liquid purp0 , who worked tirelessly to make this offseason a success. Thanks to their efforts, we were able to secure not only the best players in terms of skill but also those who align perfectly in terms of synergy and personal values. It’s been an intense and exciting offseason full of key decisions. Now, we’re ready to take on the new season with everything we’ve got. If you have any questions about the process, feel free to leave them in the comments. I’ll do my best to answer them as soon as possible! Or maybe I will make a post with answers on most of them in one big post

Hey everyone! Before we play our first match, I’d like to share a bit about our offseason. This is one of the most important times of the year for any team, and we made sure to make the most of it. We started tryouts with only 8 days of rest after the previous season ended. We didn’t waste a second. We wanted to be ready, and to do so, we tested between 30 and 35 players, becoming the team that conducted the most tryouts. We gave opportunities to everyone: players with previous experience, those without, T2 players, ranked grinders… If we saw potential, we opened the doors. Our goal was clear from the start: find young grinders hungry to compete and eager to learn. We were looking for talent we could develop and take to the top here at GIANTX. This reflects our philosophy: not just signing stars but building them, betting on the future, and nurturing young talent. I also want to give a massive shoutout to GX Cloud and Liquid purp0 , who worked tirelessly to make this offseason a success. Thanks to their efforts, we were able to secure not only the best players in terms of skill but also those who align perfectly in terms of synergy and personal values. It’s been an intense and exciting offseason full of key decisions. Now, we’re ready to take on the new season with everything we’ve got. If you have any questions about the process, feel free to leave them in the comments. I’ll do my best to answer them as soon as possible! Or maybe I will make a post with answers on most of them in one big post

pipsoN

38,332 Aufrufe • vor 1 Jahr

sorry, they just did WHAT someone gave a machine one disease name, the leading cause of blindness in the developed world with 1.5 million americans already in its path, and it came back pointing at a drug that has sat in pharmacies for years under a different label: 551 papers read in 30 minutes against the 294 hours a human would have needed, and the loop that did it is public on GitHub most agent setups answer one question at a time, so the ceiling on the work is the quality of the question you happened to think of this one was handed a single question and wrote the second one itself. turns out that follow-up is where the real find was: a target called ABCA1, upregulated threefold, in an experiment no human ordered i read the whole paper looking for the trick, and the trick is structural. that is the second question, and it is the gap between an assistant and a factory: - hand the loop a field rather than a task: it was given a disease, and choosing the mechanism was part of its job - make it rank before it spends: 151 papers in, ten candidate mechanisms out, scored against each other before anything touched a bench - split reading from judging, so the agent that forms the theory is a different agent from the one grading it - close every cycle on physical reality: the verdict was an experiment, and another model's opinion was never allowed to stand in for one - feed each result back as the next question rather than a log line, which is the step almost nobody builds - search what already passed inspection first: the winner was an approved compound with a safety file already on record - write down what the round learned before opening the next one, so round two starts where round one stopped my read, and i think it is the uncomfortable one: reading was the entire bottleneck in that field, and everybody spent the decade optimising the writing. people ran every physical experiment here, the analysis agent needs a domain expert writing its prompts, and the authors decline to call this the leap it resembles. the thinking got replaced, and the hands did not so the question i cannot answer for my own setup: which step of your loop still stops dead until you sit down and type something bookmark this one. the four parts that turn one model into a line that runs like this, the queue, the rooms, the write permissions and the gate, are built file by file in the piece below ↓

sorry, they just did WHAT someone gave a machine one disease name, the leading cause of blindness in the developed world with 1.5 million americans already in its path, and it came back pointing at a drug that has sat in pharmacies for years under a different label: 551 papers read in 30 minutes against the 294 hours a human would have needed, and the loop that did it is public on GitHub most agent setups answer one question at a time, so the ceiling on the work is the quality of the question you happened to think of this one was handed a single question and wrote the second one itself. turns out that follow-up is where the real find was: a target called ABCA1, upregulated threefold, in an experiment no human ordered i read the whole paper looking for the trick, and the trick is structural. that is the second question, and it is the gap between an assistant and a factory: - hand the loop a field rather than a task: it was given a disease, and choosing the mechanism was part of its job - make it rank before it spends: 151 papers in, ten candidate mechanisms out, scored against each other before anything touched a bench - split reading from judging, so the agent that forms the theory is a different agent from the one grading it - close every cycle on physical reality: the verdict was an experiment, and another model's opinion was never allowed to stand in for one - feed each result back as the next question rather than a log line, which is the step almost nobody builds - search what already passed inspection first: the winner was an approved compound with a safety file already on record - write down what the round learned before opening the next one, so round two starts where round one stopped my read, and i think it is the uncomfortable one: reading was the entire bottleneck in that field, and everybody spent the decade optimising the writing. people ran every physical experiment here, the analysis agent needs a domain expert writing its prompts, and the authors decline to call this the leap it resembles. the thinking got replaced, and the hands did not so the question i cannot answer for my own setup: which step of your loop still stops dead until you sit down and type something bookmark this one. the four parts that turn one model into a line that runs like this, the queue, the rooms, the write permissions and the gate, are built file by file in the piece below ↓

Argona

32,744 Aufrufe • vor 1 Monat

AI has had exactly two scaling axes that worked so far, and the second one is starting to look finite too the first one was pretraining: with scaling parameters and data, we got world knowledge (i.e. ChatGPT had read enough to know things), but it started saturating a while ago the second one was RL, and people had been doing RL the whole time before that: RLHF is RL but it never scaled far because it was trying to control the exact output, which tokens come out, how the text reads, but you can only push that so far before you’re just polishing RLVR dropped that constraint: giving the model a task, then checking whether the final answer is right, and ignoring everything in between -- so the model does whatever it wants in the middle and only the endpoint gets graded, and that’s much closer to actual RL and it’s what bought us planning and reasoning (arguably, tool use sits around 2.5 on this list -- while useful, it's not a different kind of thing) so one axis gave knowledge, the other gave reasoning, and both of them are one model working alone the next axis is how many models you can get working on the same problem, which is a different kind of axis than the previous two we know that multi-agent RL has always been the harder problem: I spent years in that literature and the gap between single-agent and multi-agent is definitely not incremental -- it’s a whole different class of difficulty! which is also why the derivatives are steep at the start, nobody has picked the easy wins yet... and the thing that gates this multi-agent coordination is communication: models can only coordinate as well as they can exchange information, and right now they do that by writing sentences to each other imagine what could we possibly achieve if we properly open that third axis development by letting models to exchange information in their native "language" without loosing any computational data that they produce during inference

AI has had exactly two scaling axes that worked so far, and the second one is starting to look finite too the first one was pretraining: with scaling parameters and data, we got world knowledge (i.e. ChatGPT had read enough to know things), but it started saturating a while ago the second one was RL, and people had been doing RL the whole time before that: RLHF is RL but it never scaled far because it was trying to control the exact output, which tokens come out, how the text reads, but you can only push that so far before you’re just polishing RLVR dropped that constraint: giving the model a task, then checking whether the final answer is right, and ignoring everything in between -- so the model does whatever it wants in the middle and only the endpoint gets graded, and that’s much closer to actual RL and it’s what bought us planning and reasoning (arguably, tool use sits around 2.5 on this list -- while useful, it's not a different kind of thing) so one axis gave knowledge, the other gave reasoning, and both of them are one model working alone the next axis is how many models you can get working on the same problem, which is a different kind of axis than the previous two we know that multi-agent RL has always been the harder problem: I spent years in that literature and the gap between single-agent and multi-agent is definitely not incremental -- it’s a whole different class of difficulty! which is also why the derivatives are steep at the start, nobody has picked the easy wins yet... and the thing that gates this multi-agent coordination is communication: models can only coordinate as well as they can exchange information, and right now they do that by writing sentences to each other imagine what could we possibly achieve if we properly open that third axis development by letting models to exchange information in their native "language" without loosing any computational data that they produce during inference

Sasha Malysheva

15,053 Aufrufe • vor 1 Monat

G to the M fam Has anyone touched the grass today? Tria just announced a big Season 3 AMA tomorrow, June 17 at 10 AM EST, with Decibel, Aptos and special guests. They’re breaking down all the new updates. One action now hits multiple reward layers, Epoch 2 extended to July 15, and they keep adding real utility like seamless perps, yield, and card spending. This is how you build real retention and mindshare. Quip Network is one of the few projects that keeps delivering quiet but meaningful signals. they’re not just talking about quantum advantage ... they’re actively demonstrating it. using real D-Wave Advantage2 annealing quantum computers on testnet to solve optimization problems far more efficiently than classical systems, potentially using up to 100x less energy. this is helping flip the old narrative of crypto wasting energy into one where decentralized compute can be far more efficient and useful. ARC Terminal is built for something most AI tools ignore. most people treat their AI usage like isolated conversations that reset every time. ARC turns every interaction into permanent capital. your core graph weaves every research thread, decision, and preference into a living, evolving structure that gets stronger the more you use it. your context and intelligence layer compound over time instead of disappearing. Nomisma Season 3 is live and the rewarded testnet is open to everyone. Hundreds of thousands of Diamonds have already been distributed, with more rewards ahead. Nomisen ID minting is free, and testnet assets are distributed based on your wallet activity across EVM networks. which one are you most focused on or participating in right now? River

G to the M fam Has anyone touched the grass today? Tria just announced a big Season 3 AMA tomorrow, June 17 at 10 AM EST, with Decibel, Aptos and special guests. They’re breaking down all the new updates. One action now hits multiple reward layers, Epoch 2 extended to July 15, and they keep adding real utility like seamless perps, yield, and card spending. This is how you build real retention and mindshare. Quip Network is one of the few projects that keeps delivering quiet but meaningful signals. they’re not just talking about quantum advantage ... they’re actively demonstrating it. using real D-Wave Advantage2 annealing quantum computers on testnet to solve optimization problems far more efficiently than classical systems, potentially using up to 100x less energy. this is helping flip the old narrative of crypto wasting energy into one where decentralized compute can be far more efficient and useful. ARC Terminal is built for something most AI tools ignore. most people treat their AI usage like isolated conversations that reset every time. ARC turns every interaction into permanent capital. your core graph weaves every research thread, decision, and preference into a living, evolving structure that gets stronger the more you use it. your context and intelligence layer compound over time instead of disappearing. Nomisma Season 3 is live and the rewarded testnet is open to everyone. Hundreds of thousands of Diamonds have already been distributed, with more rewards ahead. Nomisen ID minting is free, and testnet assets are distributed based on your wallet activity across EVM networks. which one are you most focused on or participating in right now? River

Trathoa

14,259 Aufrufe • vor 3 Monaten