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across 19 keywords
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May 13 – Oct 17, 2026 · 4-day buckets
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claude / pricing
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Showing 11301–11325 of 19132 mentions
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The life you want is built by the decisions you make when nobody is watching. The life you want is built by the decisions you make when nobody is watching.view source ↗
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천재의 이것저것 with 홈데이트🏡 (특별 출연 🐹, 🐶) | 드림 바이 드림 | DREAM x DREAM https://t.co/8bd9hcSaeR EVERYTHING, ALL AT ONCE, NEO https://t.co/P07aN7TtQl #JAEMIN #CHENLE #NCTDREAM #DREAMxDREAM #드림바이드림 #NCT_10TH_ANNIVERSARY https://t.co/ypWGLu7jWg 천재의 이것저것 with 홈데이트🏡 (특별 출연 🐹, 🐶) | 드림 바이 드림 | DREAM x DREAM https://t.co/8bd9hcSaeR EVERYTHING, ALL AT ONCE, NEO https://t.co/P07aN7TtQl #JAEMIN #CHENLE #NCTDREAM #DREAMxDREAM #드림바이드림 #NCT_10TH_ANNIVERSARY https://t.co/ypWGLu7jWgview source ↗
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Anthropic excludes charitable matching costs from adjusted operating profit. But the stock it issues still dilutes shareholders—an unusual expense heading into its IPO. Full story: https://t.co/6lhK1MmU6p Anthropic excludes charitable matching costs from adjusted operating profit. But the stock it issues still dilutes shareholders—an unusual expense heading into its IPO. Full story: https://t.co/6lhK1MmU6pview source ↗
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this is pure f*cking treasure A Stanford AI research group found how to orchestrate Claude Opus 5.5 and GPT-6.1 Sol together, and it completely breaks the search scaffolding wall most developers try to combine frontier models by chaining prompts in one context window or hardcoding rigid evolutionary loops. you burn t… this is pure f*cking treasure A Stanford AI research group found how to orchestrate Claude Opus 5.5 and GPT-6.1 Sol together, and it completely breaks the search scaffolding wall most developers try to combine frontier models by chaining prompts in one context window or hardcoding rigid evolutionary loops. you burn tokens on context bloat and freeze models into fixed search rules that out-date themselves within 5 iterations Stanford's architecture eliminates human-designed search scaffolding and splits the cognitive stack: > search director: Claude Opus 5.5 plans the search, querying a persistent idea-graph where MAP-Elites and MCTS reduce to single Cypher queries > candidate proposer: GPT-6.1 Sol explores high-entropy code variations inside isolated execution sandboxes > zero context bleeding: sessions reset after each iteration to prevent prompt bloat while the graph stores lineage > evaluator isolation: candidate code never touches the scoring process, stopping reward hacking and test leakage cold > meta-agent distillation: an offline meta-pass extracts verified lessons and updates search guidance across branches the benchmark metrics outclass standard discovery baselines: > 3.2x lower model spend than fixed evolutionary frameworks > 1st place rank across 7 competitive AtCoder heuristic contests against human competitors > beats published SOTA on Anthropic kernel builder and 11 mathematical optimization tasks > 0% reward hacks: candidate-controlled metric tampering eliminated Opus directs the search graph. Sol explores the code you stop writing rigid search harnesses. you let frontier models own the discovery loopview source ↗
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My friend, who is BIG TIME anti-local-AI, wrote to me today saying I need to try Strata. He told me that today he’s sending actual PRs at work written by local AI(3.8 Flash)🤯 I can’t put into words how amazed I am. The quality is there - we just need(ed) to solve the speed. My friend, who is BIG TIME anti-local-AI, wrote to me today saying I need to try Strata. He told me that today he’s sending actual PRs at work written by local AI(3.8 Flash)🤯 I can’t put into words how amazed I am. The quality is there - we just need(ed) to solve the speed.view source ↗
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Amateurs collect information. Professionals build skills. Amateurs collect information. Professionals build skills.view source ↗
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Every time you let Opus 5.5 work on a project overnight, have it vibe-code a quick 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗺𝗮𝗽 like this first. In the morning, you'll see at a glance what's done and what's left. Then give it 𝗮 𝘀𝘂𝗯𝗮𝗴𝗲𝗻𝘁 𝘁𝗵𝗮𝘁 𝗼𝗻𝗹𝘆 𝗱𝗿𝗮𝘄𝘀 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗺𝗮𝗽𝘀: → Name it project-map, set its effort to medium, and preload a design skill → The fir… Every time you let Opus 5.5 work on a project overnight, have it vibe-code a quick 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗺𝗮𝗽 like this first. In the morning, you'll see at a glance what's done and what's left. Then give it 𝗮 𝘀𝘂𝗯𝗮𝗴𝗲𝗻𝘁 𝘁𝗵𝗮𝘁 𝗼𝗻𝗹𝘆 𝗱𝗿𝗮𝘄𝘀 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗺𝗮𝗽𝘀: → Name it project-map, set its effort to medium, and preload a design skill → The first time, it asks what style you like and saves it to memory. After that, every map fits your taste and the project at hand → Call it before you let Opus run on its own. It draws the map in the background in a few minutes while the main session keeps coding on high, and it updates the map after every milestone → The map shows four things: the parts the project breaks into, how far each part has gotten, 𝘄𝗵𝗮𝘁'𝘀 𝘀𝘁𝘂𝗰𝗸 𝗮𝗻𝗱 𝘄𝗵𝗮𝘁 𝗶𝘁'𝘀 𝘄𝗮𝗶𝘁𝗶𝗻𝗴 𝗼𝗻, and what to do next (if you don't make the call, it goes ahead with that) Send this prompt to Opus 5.5 in Claude Code 👇 "Set up a subagent that only draws project maps: 1. Create project-map in ~/.claude/agents: model: opus, effort: medium, memory: user. Preload the design skills I have installed (for example impeccable). It needs to read the code, git history, and issues (if there are any). It only writes to a .project-map/ folder in the project, and adds that folder to .gitignore. 2. The first time, run it in the foreground so it can ask me what style I like: dark or light, and one accent color. It saves my answer to memory and follows it every time. If I already have dashboard-builder, reuse the style it saved and don't ask me again. 3. The map is one HTML file that opens with a double-click. It breaks the project into a few main parts and marks each one done, in progress, not started, or stuck. For stuck parts, say what they're waiting on. Milestones live in the map: if I can't name them, read the README and commit history and propose a first version for me to edit. At the top, show how many things are left before the next milestone and a suggested next step, and highlight the parts that changed since the lastview source ↗
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That’s quality 😂👏 https://t.co/HZRHHNKY0u That’s quality 😂👏 https://t.co/HZRHHNKY0uview source ↗
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What's the toughest part of building your project? What's the toughest part of building your project?view source ↗
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Jump into an epic journey as Mickey Mouse through Wasteland, a realm of forgotten Disney characters. Will you become the epic hero Wasteland needs? Play Disney Epic Mickey: Rebrushed now on Nintendo Switch 2: https://t.co/ogwunCh5ok https://t.co/WaYeYkw4NC Jump into an epic journey as Mickey Mouse through Wasteland, a realm of forgotten Disney characters. Will you become the epic hero Wasteland needs? Play Disney Epic Mickey: Rebrushed now on Nintendo Switch 2: https://t.co/ogwunCh5ok https://t.co/WaYeYkw4NCview source ↗
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Everyone is sick of generic AI, including us. Gamma was the first AI presentation platform to reach real scale. But now that AI tools are everywhere, everything looks the same. Earlier this summer, we came to an uncomfortable conclusion: without a step change in visual variety, Gamma’s output would look and feel too … Everyone is sick of generic AI, including us. Gamma was the first AI presentation platform to reach real scale. But now that AI tools are everywhere, everything looks the same. Earlier this summer, we came to an uncomfortable conclusion: without a step change in visual variety, Gamma’s output would look and feel too similar to all the other AI tools. The entire point of a presentation is to help someone "get" your idea, to see it as unique and do something with it. We started over. Today we're shipping Gamma 5, the biggest product overhaul in our company's history. We rebuilt Gamma to create presentations that actually look like you and your brand. Your teams can design anything they dream up, following your brand's aesthetic or something entirely new, with every frontier and image model under the hood. And the same goes for your docs, social assets, and graphics. We revamped our agent, design tools, editing, import, export, connectors, and more. Get your ideas out there.view source ↗
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SpaceXAI engineer Lauren Tan: "99% of people use GrokBot for only a tiny fraction of what it can actually do. They run a single agent without using loops or graphs. I’m running a fully autonomous team of 20+ GrokBot agents. I have a Chief of Staff agent, a PM agent, and more than 20 specialized workers. This is what … SpaceXAI engineer Lauren Tan: "99% of people use GrokBot for only a tiny fraction of what it can actually do. They run a single agent without using loops or graphs. I’m running a fully autonomous team of 20+ GrokBot agents. I have a Chief of Staff agent, a PM agent, and more than 20 specialized workers. This is what the new engineering stack looks like. In a 1 hour session, a SpaceXAI engineer demonstrated how to build a powerful team of AI agents from the ground up. This is worth more than a $500 agentic engineering course. Watch this workshop today and learn how to build your own fleet of GrokBot agents.view source ↗
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RT @rockatanescu: I don't think writing a spec and splitting it into tickets is how you should use agents since Sol 5.6/Opus 5. Just tell t… RT @rockatanescu: I don't think writing a spec and splitting it into tickets is how you should use agents since Sol 5.6/Opus 5. Just tell t…view source ↗
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Launching a generic productivity app and praying for TikTok algorithms to save you is unrealistic. You're going up against teams with millions in funding who buy up every single Google ad keyword and your whole growth plan is posting 2 reels a day hoping the algorithm shows mercy? Unless you have an unfair backdoor … Launching a generic productivity app and praying for TikTok algorithms to save you is unrealistic. You're going up against teams with millions in funding who buy up every single Google ad keyword and your whole growth plan is posting 2 reels a day hoping the algorithm shows mercy? Unless you have an unfair backdoor to reach customers directly, don't build it. Invest accordinglyview source ↗
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If you want to work with me at @triggerdotdev, we're hiring backend engineers, a dev marketer, a devrel (SF) and a design engineer 😃 If you want to work with me at @triggerdotdev, we're hiring backend engineers, a dev marketer, a devrel (SF) and a design engineer 😃view source ↗
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https://t.co/6NhgvrpjWz https://t.co/6NhgvrpjWzview source ↗
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Everything Jason does is insane. I've been using it for two days trying to get work for this agency I'm cooking up. Bro, for $10 yesterday, I've already had 30 conversations in two days with people hiring. I'm telling you, this is probably the best tool I swear ive ever used. Everything Jason does is insane. I've been using it for two days trying to get work for this agency I'm cooking up. Bro, for $10 yesterday, I've already had 30 conversations in two days with people hiring. I'm telling you, this is probably the best tool I swear ive ever used.view source ↗
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Just deleted LinkedIn, probably the most useless app. Just deleted LinkedIn, probably the most useless app.view source ↗
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पूरा देश एकजुट होकर ज्ञानेश कुमार का इस्तीफा मांग रहा है। पिछले कुछ सालों से मोदी जी SIR के जरिए असली वोट कटवाकर और फर्जी वोट जुड़वाकर चुनाव जीतते आए हैं। इन लोगों ने लोकतंत्र का मजाक बना दिया है। मैं देश में वोट चोरी के खिलाफ चल रहे आंदोलन का समर्थन करता हूं। ज्ञानेश कुमार, इस्तीफ़ा दो पूरा देश एकजुट होकर ज्ञानेश कुमार का इस्तीफा मांग रहा है। पिछले कुछ सालों से मोदी जी SIR के जरिए असली वोट कटवाकर और फर्जी वोट जुड़वाकर चुनाव जीतते आए हैं। इन लोगों ने लोकतंत्र का मजाक बना दिया है। मैं देश में वोट चोरी के खिलाफ चल रहे आंदोलन का समर्थन करता हूं। ज्ञानेश कुमार, इस्तीफ़ा दोview source ↗
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"Whoever cannon seek the unforeseen sees nothing, for the known way is an impasse." -Heraclitus "Whoever cannon seek the unforeseen sees nothing, for the known way is an impasse." -Heraclitusview source ↗
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there’s worse ways to go down I suppose at least we get to build our own executioner anyway plenty of time to pivot before the axe gets here developers will adapt there’s worse ways to go down I suppose at least we get to build our own executioner anyway plenty of time to pivot before the axe gets here developers will adaptview source ↗
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I’m not saying the gym solves every problem. I’m saying I’ve never regretted a pump. The session ends. The noise in your head is quieter. That’s enough reason to go. I’m not saying the gym solves every problem. I’m saying I’ve never regretted a pump. The session ends. The noise in your head is quieter. That’s enough reason to go.view source ↗
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This SEO strategy works pretty well. A real-world example: https://t.co/a1UfpjTlVW This SEO strategy works pretty well. A real-world example: https://t.co/a1UfpjTlVWview source ↗
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I haven’t seen a Rust vibecoder yet. I wonder why ?? I haven’t seen a Rust vibecoder yet. I wonder why ??view source ↗
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Deepseek-v4.1-flash can build 3d worlds like no other local model, it's incredible at this kind of task. 1 shot! 40 score on AA for this model is just wrong, it's so good. It's just weak in UI, and has about 200M token window before it goes off track https://t.co/KmFOZso3YY Deepseek-v4.1-flash can build 3d worlds like no other local model, it's incredible at this kind of task. 1 shot! 40 score on AA for this model is just wrong, it's so good. It's just weak in UI, and has about 200M token window before it goes off track https://t.co/KmFOZso3YYview source ↗