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claude / pricing
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Showing 3351–3375 of 5105 mentions
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Ryan Gravenberch's first goal for the Reds ✨ 05/10/23 🗓️ https://t.co/VVdWu3qiEA Ryan Gravenberch's first goal for the Reds ✨ 05/10/23 🗓️ https://t.co/VVdWu3qiEAview source ↗
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Forgive me for still having an Asian Games hangover, but as I start this week, one story from the Games keeps coming back to me. Sujeet Kalkal was 9-2 down with less than a minute & a half left. Most of us have an inner voice that does the maths at a moment like this. I certainly admit to having such a voice. It … Forgive me for still having an Asian Games hangover, but as I start this week, one story from the Games keeps coming back to me. Sujeet Kalkal was 9-2 down with less than a minute & a half left. Most of us have an inner voice that does the maths at a moment like this. I certainly admit to having such a voice. It assesses the odds and tells us when the rational thing is to accept defeat. Sujeet clearly has another voice. One that says: Not yet. He kept going. 9-2 became 10-9. And an Asian Games gold. The lesson goes well beyond the wrestling mat. When I look back, I realise that some of my key successes in business came when I listened to my other voice that fought the rational one and simply refused to throw in the towel. There are times to listen to reason. And there are times to tell it to wait. It ain’t over till it’s over. #MondayMotivationview source ↗
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karpathy is goated for suggesting to ask models to write in the ASD-STE 100 style. it has improved the response of each model and helps so much to understand depth of something in most efficient manner. karpathy is goated for suggesting to ask models to write in the ASD-STE 100 style. it has improved the response of each model and helps so much to understand depth of something in most efficient manner.view source ↗
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day 96: it’s 4am, tired but it’s a good tired. today was another solid work day for this test, partner and I are running a cbo on a $250 budget we launched the first ad set tonight, it’s a native concept that showed buying intent from my original cbo - 20 ads - 3 hook variations on the primary text - 1 body copy … day 96: it’s 4am, tired but it’s a good tired. today was another solid work day for this test, partner and I are running a cbo on a $250 budget we launched the first ad set tonight, it’s a native concept that showed buying intent from my original cbo - 20 ads - 3 hook variations on the primary text - 1 body copy we should have 3 more native ad sets going up tomorrow night today we also started a running list of competitors’ working concepts and angles to test it’s a huge list, that’s why I was initially intrigued by this product there’s lots of ways to position it desire and dream outcome-wise partner and I also redid our outcome-based product photos there’s 2 main concepts that are printing for comp they also made sales during my first test for this product we made 2 new transformational before/after product photos to illustrate the dream outcome of both concepts we’ll get ads up for both concepts tomorrow and see what gets more salesview source ↗
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I don't believe it's possible to hit $35,000 MRR with just self-posted, organic slideshows. Even if you run 5 accs. The $35,000 must be blended revenue with other channels like ads or clipping campaigns right Also doesn't help that you conveniently sell a prosumer slideshow tool I don't believe it's possible to hit $35,000 MRR with just self-posted, organic slideshows. Even if you run 5 accs. The $35,000 must be blended revenue with other channels like ads or clipping campaigns right Also doesn't help that you conveniently sell a prosumer slideshow toolview source ↗
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this might be the most useful AI agent paper of 2026, and it's certified f*cking gold Wavestone AI Lab took apart Claude Code, Codex and 9 more agents every good one runs on the same 7-part harness agent = model + harness all 11 use the same 7 parts. only the size changes the 7 parts: > loop - from a plain while loo… this might be the most useful AI agent paper of 2026, and it's certified f*cking gold Wavestone AI Lab took apart Claude Code, Codex and 9 more agents every good one runs on the same 7-part harness agent = model + harness all 11 use the same 7 parts. only the size changes the 7 parts: > loop - from a plain while loop to fully replayable runs > LLM layer - one prompt template up to 29 provider profiles > tools - bash only up to 43 typed tools on demand > memory - full history up to notes kept across sessions > safety - a step limit up to rules + reviewer model + sandbox > orchestration - Aider skips sub-agents, others fork them > extensions - SKILL.md in 9 of 11, MCP in 8 it ends with a 90-line harness covering all 7 the cleanest starting point for your own agent the pages worth your time: > p.4 - the 7-part map > p.12 - 3 loop types, Claude Code and Codex as examples > p.53 - why nobody uses frameworks or embeddings > p.67 - 18 design rules > p.71 - the 90-line harness to copyview source ↗
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Sad news. We disabled PRs from external contributors on honojs/hono Hono has not stood here without PRs. I will never forget the PR @usualoma created for RegExpRouter. A damn fast HTTP router we have never seen! But PRs don't work in this era. Contribute in other ways. Thanks https://t.co/jUq4CHKuco Sad news. We disabled PRs from external contributors on honojs/hono Hono has not stood here without PRs. I will never forget the PR @usualoma created for RegExpRouter. A damn fast HTTP router we have never seen! But PRs don't work in this era. Contribute in other ways. Thanks https://t.co/jUq4CHKucoview source ↗
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China: Let's build the best Open Weights Open Source models on this planet. USA: Let's build the most capable models on this planet with an insane range of use cases. EU: Let's distill those models and let them extract numbers from documents. It's so embarrassing 🤣 China: Let's build the best Open Weights Open Source models on this planet. USA: Let's build the most capable models on this planet with an insane range of use cases. EU: Let's distill those models and let them extract numbers from documents. It's so embarrassing 🤣view source ↗
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gave the same prompt to these four models and here's their result. opus 5.5 overall was the best performer, the other three models including GPT 6.1. sol messed it up pretty bad. anthropic really hacked something with this 5.5 series, fable 5.5 will be madder!!! https://t.co/qaAVqIi6Cj gave the same prompt to these four models and here's their result. opus 5.5 overall was the best performer, the other three models including GPT 6.1. sol messed it up pretty bad. anthropic really hacked something with this 5.5 series, fable 5.5 will be madder!!! https://t.co/qaAVqIi6Cjview source ↗
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Most people search for remote jobs in the same 3–4 places. That’s exactly why their job search gets so competitive. I found 25+ remote job boards and platforms worth saving: Remote jobs → TrueUp → FlexJobs → We Work Remotely → Remote .co → JustRemote → Virtual Vocations → Remotive → SkipTheDrive → W… Most people search for remote jobs in the same 3–4 places. That’s exactly why their job search gets so competitive. I found 25+ remote job boards and platforms worth saving: Remote jobs → TrueUp → FlexJobs → We Work Remotely → Remote .co → JustRemote → Virtual Vocations → Remotive → SkipTheDrive → Working Nomads → Remote OK → Landing .Jobs → Careervault → Authentic Jobs Tech + startups → Arc → Jobspresso → Wellfound → PowerToFly → Gun .io Freelance + projects → Upwork → Fiverr → Toptal → Freelancer → freelancermap → Designhill Creative + portfolio → Dribbble → Behance → Pangian Don't search where everyone else searches. Save this list and check multiple platforms. Which one would you add?view source ↗
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recommended viewing if you want to understand what pi durable is. it's 100% accurate and breaks it down real well. i should learn how to do those ai explainers. recommended viewing if you want to understand what pi durable is. it's 100% accurate and breaks it down real well. i should learn how to do those ai explainers.view source ↗
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Comment “CONCEPT” and I’ll DM you the complete AI engineering roadmap. Most people learn AI by jumping from tool to tool. AI engineers learn the building blocks underneath them. Here’s what each concept does: 1. Vector databases: how a model finds the right information 2. Context engineering: how you decide what the… Comment “CONCEPT” and I’ll DM you the complete AI engineering roadmap. Most people learn AI by jumping from tool to tool. AI engineers learn the building blocks underneath them. Here’s what each concept does: 1. Vector databases: how a model finds the right information 2. Context engineering: how you decide what the model sees 3. AI agents: how a model plans and completes tasks on its own 4. MCP (Model Context Protocol): how a model connects to any tool or data source 5. Function calling: how a model takes real actions 6. Evals: how you prove your system actually works 7. Guardrails: how you keep it safe in production Save this as a reference for what to learn next. (ai concepts, ai fundamentals, ai engineering, vector databases, context engineering, ai agents, model context protocol, function calling, evals, guardrails)view source ↗
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European Tech Companies That Sponsor Work Visas : https://t.co/QxcaNxpWdo Like & repost for others! European Tech Companies That Sponsor Work Visas : https://t.co/QxcaNxpWdo Like & repost for others!view source ↗
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The goal that requires you to become someone better is the only one worth chasing. The goal that requires you to become someone better is the only one worth chasing.view source ↗
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𝗔𝗿𝗲 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝘁𝘄𝗶𝗻𝘀 𝗼𝗳 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀 𝘁𝗵𝗲 𝗻𝗲𝘅𝘁 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗲𝗱𝗴𝗲? The idea of creating a digital version of an employee sounds incredibly attractive. Imagine capturing how your best salesperson approaches a customer, how an experienced engineer diagnoses a problem, or how a senior leader evaluates a difficult trade-off, and … 𝗔𝗿𝗲 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝘁𝘄𝗶𝗻𝘀 𝗼𝗳 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀 𝘁𝗵𝗲 𝗻𝗲𝘅𝘁 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗲𝗱𝗴𝗲? The idea of creating a digital version of an employee sounds incredibly attractive. Imagine capturing how your best salesperson approaches a customer, how an experienced engineer diagnoses a problem, or how a senior leader evaluates a difficult trade-off, and then making some version of that expertise available across the organization. My first reaction is that this could become an extraordinary competitive advantage. My second is that we need to be very careful about what we think we're copying. A digital twin can potentially capture patterns, knowledge, preferences, examples, and decision histories. But expertise is not simply a database of previous choices because experienced people also know when their own rules should be broken. That difference matters. If we treat a digital twin as a copy of the employee, we risk confusing 𝗰𝗮𝗽𝘁𝘂𝗿𝗲𝗱 𝗯𝗲𝗵𝗮𝘃𝗶𝗼𝗿 𝘄𝗶𝘁𝗵 𝗷𝘂𝗱𝗴𝗺𝗲𝗻𝘁. Yesterday's best decision may become tomorrow's bad decision because the customer changed, the market moved, or an exception appeared that the historical record never encountered. This is where I think the orchestration question becomes more interesting than the cloning question. Instead of asking, "How accurately can we reproduce Sarah?", I would ask: → Which parts of Sarah's expertise can be made explicit? → Which decisions can safely be delegated? → Where does ambiguity still require Sarah herself? → How will the digital version change as Sarah's own judgment evolves? In my opinion, the real competitive advantage won't come from creating digital copies of your best people. It will come from understanding their expertise deeply enough to know 𝘄𝗵𝗮𝘁 𝘀𝗵𝗼𝘂𝗹𝗱 𝗻𝗲𝘃𝗲𝗿 𝗯𝗲 𝗰𝗼𝗽𝗶𝗲𝗱 𝗯𝗹𝗶𝗻𝗱𝗹𝘆. What do you think? Will digital twins scale our best employees, or could they freeze yesterday's expertise into tomorrow's decisions? #HumanAgentOrchestrator #DigitalTwins #FutureOfWork #AgenticAI #HumanJudgmentview source ↗
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How long does Apple usually take to review your apps? My app has been stuck on “Waiting for Review” for over 4 weeks now. In that time, I’ve managed to almost finish my next app. I wish Apple could review apps as fast as I build them 😂 https://t.co/tppy5dCdtO How long does Apple usually take to review your apps? My app has been stuck on “Waiting for Review” for over 4 weeks now. In that time, I’ve managed to almost finish my next app. I wish Apple could review apps as fast as I build them 😂 https://t.co/tppy5dCdtOview source ↗
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My colleague posted a photo of herself in her wedding dress on TikTok. Two hours later, she deleted it. I asked her why, because the picture was beautiful. She said, “My husband told me to take it down.” I laughed because I thought he was just being private. Then she showed me the message he sent her: “Delete the… My colleague posted a photo of herself in her wedding dress on TikTok. Two hours later, she deleted it. I asked her why, because the picture was beautiful. She said, “My husband told me to take it down.” I laughed because I thought he was just being private. Then she showed me the message he sent her: “Delete the post now. You had no right to put that there.” I looked at the picture again. It was just her. No husband. No wedding guests. No names. So I asked her, “What exactly did you put there?” She turned her phone toward me. Under the picture, she had written:view source ↗
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A mother is your first friend, your best friend, your forever friend. 👩👧❤️ https://t.co/b09UvM54k4 A mother is your first friend, your best friend, your forever friend. 👩👧❤️ https://t.co/b09UvM54k4view source ↗
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are there any startups working in teleportation? i offer myself as a test subject to get teleported to sf are there any startups working in teleportation? i offer myself as a test subject to get teleported to sfview source ↗
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Both Opus 5.5 and GPT-6.1 Sol are crazy good models. Use them for different tasks though. Each is better at some jobs than the other. Opus 5.5: design and frontend GPT-6.1 Sol: computer use and image creation Also awesome workflow is to always have each review the other's PRs. Both Opus 5.5 and GPT-6.1 Sol are crazy good models. Use them for different tasks though. Each is better at some jobs than the other. Opus 5.5: design and frontend GPT-6.1 Sol: computer use and image creation Also awesome workflow is to always have each review the other's PRs.view source ↗
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Stop waiting for the perfect opportunity. Create one. Stop waiting for the perfect opportunity. Create one.view source ↗
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pro tip: if you make AI ads with Claude Code, connect ChatGPT Images 2.0 to it. - sign into Codex cli with your ChatGPT account - have Claude call codex exec with your prompt + refs - Claude can now call Images 2.0 whenever it needs to make an image btw this works for models too pro tip: if you make AI ads with Claude Code, connect ChatGPT Images 2.0 to it. - sign into Codex cli with your ChatGPT account - have Claude call codex exec with your prompt + refs - Claude can now call Images 2.0 whenever it needs to make an image btw this works for models tooview source ↗
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Reddit looks like an incredible acquisition channel... until you try selling something there 😭 For people actually getting customers from Reddit: What are you doing differently? Reddit looks like an incredible acquisition channel... until you try selling something there 😭 For people actually getting customers from Reddit: What are you doing differently?view source ↗
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Git Commands Ranked by Danger ⚠️ 🟢 git status - Safe 🟢 git log - Safe 🟢 git diff - Safe 🟢 git branch - Safe 🟢 git stash list - Safe 🟡 git commit --amend - Be Careful 🟡 git stash drop - Be Careful 🟡 git checkout . - Be Careful 🟡 git merge - Be Careful 🟡 git cherry-pick - Be Careful 🔥 git rebase -i - Risky 🔥 git reset… Git Commands Ranked by Danger ⚠️ 🟢 git status - Safe 🟢 git log - Safe 🟢 git diff - Safe 🟢 git branch - Safe 🟢 git stash list - Safe 🟡 git commit --amend - Be Careful 🟡 git stash drop - Be Careful 🟡 git checkout . - Be Careful 🟡 git merge - Be Careful 🟡 git cherry-pick - Be Careful 🔥 git rebase -i - Risky 🔥 git reset --hard - Risky 🔥 git clean -fd - Risky 🔥 git branch -D - Risky 🔥 git pull --force - Risky 💀 git push --force to main - Production Killer 💀 git filter-branch - Production Killer 💀 git reflog expire --expire=now --all - Production Killer 💀 git rebase on shared branch - Production Killer 💀 git push --mirror - Production Killer Which one has burned you the most? 👀view source ↗
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Meet Aurora Multi-agent working for you in one place. Give your task to each agent, and they will work with each other’s talk. Demo: https://t.co/NlOCBmM0we Need product design & development in 2 weeks? DM https://t.co/6j8qBsm2q8 Meet Aurora Multi-agent working for you in one place. Give your task to each agent, and they will work with each other’s talk. Demo: https://t.co/NlOCBmM0we Need product design & development in 2 weeks? DM https://t.co/6j8qBsm2q8view source ↗