{"tweets":[{"id":"93a6014e-00f9-4f20-ad19-37a1bb4746bf","tweet_url":"https://x.com/thsottiaux/status/2096688770523467947","tweet_text":"To calibrate you all on which reasoning effort to use for Astra, know that GPT-6 Astra on low performs better than GPT-5.6 Sol on high.\n\nIf you were using high reasoning efforts with Sol and were happy, I suggest you move down to low or medium for Astra.","summary":"This reveals that Astra's architectural improvements enable superior performance at lower computational costs than Sol, meaning builders and founders can reduce inference expenses and latency while maintaining or improving output quality. AI practitioners should recalibrate their reasoning effort settings downward when migrating to Astra to optimize for cost-efficiency and speed without sacrificing the reasoning capabilities they relied on with the previous generation.","author_name":"Tibo","author_handle":"thsottiaux","timestamp":"2026-09-06T19:55:32+00:00","comment_count":1275,"like_count":12225,"retweet_count":567,"submitted_at":"2026-09-06T20:35:02.841576+00:00","created_at":"2026-09-06T20:35:02.841576+00:00","seo_title":"GPT-6 Astra on low outperforms GPT-5.6 Sol on high","bookmark_count":1661,"image_url":null,"keywords":["artificial intelligence","machine learning","ai reasoning","model performance","software engineering","product optimization","ai capabilities"],"video_url":null,"video_thumbnail_url":null,"image_grid_urls":null,"profile_id":"8f4c5965-5913-488a-b6c0-139c8761834d","link_card_url":null,"link_card_title":null,"link_card_image_url":null,"link_card_domain":null,"is_pinned":false,"pinned_at":null,"content_type":"tweet","article_title":null,"article_image_url":null,"slug":null,"quality_score":7,"noindex":false,"profiles":{"id":"8f4c5965-5913-488a-b6c0-139c8761834d","handle":"thsottiaux","name":"Tibo","avatar_url":"https://dcuhjhnlzlpnshikrfwz.supabase.co/storage/v1/object/public/tweet-media/avatars/thsottiaux.jpg"},"replyRatio":0.10429447852760736},{"id":"b513957e-336d-40c0-a9f6-283bdc80372f","tweet_url":"https://x.com/supabase/status/2096584213512196573","tweet_text":"last person to comment gets free supabase for a year","summary":"last person to comment gets free supabase for a year","author_name":"Supabase","author_handle":"supabase","timestamp":"2026-09-06T13:00:03+00:00","comment_count":993,"like_count":839,"retweet_count":15,"submitted_at":"2026-09-06T13:35:03.15062+00:00","created_at":"2026-09-06T13:35:03.15062+00:00","seo_title":"Supabase Offering Free Annual Plan to Final Comment","bookmark_count":123,"image_url":null,"keywords":["saas","product launch","community engagement","startup growth","developer tools","web development","cloud infrastructure"],"video_url":null,"video_thumbnail_url":null,"image_grid_urls":null,"profile_id":"edc5b08d-6b3b-45a8-96d7-b7759236ddad","link_card_url":null,"link_card_title":null,"link_card_image_url":null,"link_card_domain":null,"is_pinned":false,"pinned_at":null,"content_type":"tweet","article_title":null,"article_image_url":null,"slug":null,"quality_score":1,"noindex":false,"profiles":{"id":"edc5b08d-6b3b-45a8-96d7-b7759236ddad","handle":"supabase","name":"Supabase","avatar_url":"https://dcuhjhnlzlpnshikrfwz.supabase.co/storage/v1/object/public/tweet-media/avatars/supabase.jpg"},"replyRatio":1.1835518474374256},{"id":"9ae85fef-a7be-4672-a663-feb27bd5b737","tweet_url":"https://x.com/gdb/status/2096721633876771094","tweet_text":"we're now moving into the AGI era (whether you view it as this model, the last one, or the next one), and could not do it without close partners https://twitter.com/JensenHuang/status/2096700264569090384","summary":"This signals that reaching AGI-level capabilities requires deep partnerships rather than isolated efforts, fundamentally changing how builders and founders should structure their organizations and collaborations. For AI practitioners, it means the competitive advantage increasingly comes from ecosystem integration and strategic alliances with infrastructure providers, reshaping where innovation happens in the AI stack.","author_name":"Greg Brockman","author_handle":"gdb","timestamp":"2026-09-06T22:06:07+00:00","comment_count":150,"like_count":2785,"retweet_count":136,"submitted_at":"2026-09-06T23:00:03.516934+00:00","created_at":"2026-09-06T23:00:03.516934+00:00","seo_title":"The AGI Era Is Beginning","bookmark_count":295,"image_url":null,"keywords":["artificial intelligence","agi","machine learning","leadership","innovation","technology","entrepreneurship","partnerships"],"video_url":null,"video_thumbnail_url":null,"image_grid_urls":null,"profile_id":"8420794a-2091-4f94-93a2-18e3ad7fa7f8","link_card_url":null,"link_card_title":null,"link_card_image_url":null,"link_card_domain":null,"is_pinned":false,"pinned_at":null,"content_type":"tweet","article_title":null,"article_image_url":null,"slug":null,"quality_score":6,"noindex":false,"profiles":{"id":"8420794a-2091-4f94-93a2-18e3ad7fa7f8","handle":"gdb","name":"Greg Brockman","avatar_url":"https://dcuhjhnlzlpnshikrfwz.supabase.co/storage/v1/object/public/tweet-media/avatars/gdb.jpg"},"replyRatio":0.05385996409335727},{"id":"4b3de215-53de-4e13-847c-b1d01055d4eb","tweet_url":"https://x.com/thdxr/status/2096618447962546191","tweet_text":"so astra writes python to do everything\n\nwhich means we're going to have to rework this ui","summary":"Astra's reliance on Python for all operations means builders and founders must redesign user interfaces to accommodate code-first workflows rather than traditional GUI interactions. This shift is consequential for AI practitioners because it changes how applications handle automation, debugging, and user control—requiring architectural decisions that prioritize programmatic interfaces over point-and-click abstractions.","author_name":"dax","author_handle":"thdxr","timestamp":"2026-09-06T15:16:05+00:00","comment_count":136,"like_count":2100,"retweet_count":15,"submitted_at":"2026-09-06T15:20:02.967842+00:00","created_at":"2026-09-06T15:20:02.967842+00:00","seo_title":"Astra's Python-First Approach Requires UI Redesign","bookmark_count":200,"image_url":"https://pbs.twimg.com/media/HRivW3-WsAEGiit.png","keywords":["python programming","software engineering","ui design","code automation","developer tools","product development","technical debt"],"video_url":null,"video_thumbnail_url":null,"image_grid_urls":null,"profile_id":"38e723ea-80ca-4713-a2b2-f6c3a90522c6","link_card_url":null,"link_card_title":null,"link_card_image_url":null,"link_card_domain":null,"is_pinned":false,"pinned_at":null,"content_type":"tweet","article_title":null,"article_image_url":null,"slug":null,"quality_score":3,"noindex":false,"profiles":{"id":"38e723ea-80ca-4713-a2b2-f6c3a90522c6","handle":"thdxr","name":"dax","avatar_url":"https://dcuhjhnlzlpnshikrfwz.supabase.co/storage/v1/object/public/tweet-media/avatars/thdxr.jpg"},"replyRatio":0.06476190476190476},{"id":"b7d1149f-d39c-4342-ba8b-c94ad5dbbcc1","tweet_url":"https://x.com/marclou/status/2096911867516252385","tweet_text":"Today is a special day for me.\n\nI've made $3M with my 36 startups.\n\nSolo.\n85% margin.\nBootstrapped.\n\nIt took 10 years, and I loved every second of it.\n\nAfter failing as an entrepreneur for 5 years, I got a job in 2021.\n\nThat's when I discovered @levelsio's journey and decided to try again.\n\n\"If he can do it, maybe I can too?\"\n\nSo I started building tiny startups and writing about it.\n\n2021 and 2022 were quiet, but I was having fun.\n\nEverything changed in 2023 when I launched ShipFast and made my first million.\n\nBuilding something people finally paid for and enjoyed made me so happy.\n\nMy first 5 years of failures taught me not to get emotionally attached to a project, because everything goes to 0 eventually.\n\nSo I just kept shipping.\n\nIt's 2026, and I've launched 36 startups.\n\n50% never made money.\nOnly 11% made decent money.\n\nBack in 2016, when I started, I believed I would make it.\n\nIf I had known it would take 7 years of failure, I probably would never have started.\n\nThat's why I'm stupidly optimistic.\n\nI don't think in years. I don't dream big.\n\nI think in weeks. I build tiny projects fast. And I quit even faster.\n\nThat's how I wake up happy, enjoy the journey, and eventually build life-changing projects.\n\nIf you've been following the journey, thank you. You've given my posts a sense of purpose, which has kept me going, and I'm very grateful for this. ❤️","summary":"This demonstrates that sustainable founder success relies on rapid iteration cycles and emotional detachment rather than grand visions, showing that thinking in weeks instead of years while maintaining high margins through bootstrapping enables both personal fulfillment and eventual profitable outcomes across a portfolio of ventures. The 10-year path to $3M across 36 startups reveals that failure tolerance and shipping velocity are more predictive of success than initial talent or planning, providing practical validation for builders pursuing low-overhead product development as an alternative to venture-backed trajectories.","author_name":"Marc Lou","author_handle":"marclou","timestamp":"2026-09-07T10:42:02+00:00","comment_count":102,"like_count":393,"retweet_count":11,"submitted_at":"2026-09-07T11:10:03.624446+00:00","created_at":"2026-09-07T11:10:03.624446+00:00","seo_title":"This demonstrates that sustainable founder success relies","bookmark_count":51,"image_url":null,"keywords":["entrepreneurship","bootstrapping","side hustles","saas","product design","innovation","growth marketing","startup","business","remote work"],"video_url":null,"video_thumbnail_url":null,"image_grid_urls":["https://pbs.twimg.com/media/HRm6OjZa0AAkGRi.jpg","https://pbs.twimg.com/media/HRm6OukbsAAFsFV.jpg"],"profile_id":"b8710672-1571-43f1-bf2a-0ff755312749","link_card_url":null,"link_card_title":null,"link_card_image_url":null,"link_card_domain":null,"is_pinned":false,"pinned_at":null,"content_type":"tweet","article_title":null,"article_image_url":null,"slug":null,"quality_score":6,"noindex":false,"profiles":{"id":"b8710672-1571-43f1-bf2a-0ff755312749","handle":"marclou","name":"Marc Lou","avatar_url":"https://dcuhjhnlzlpnshikrfwz.supabase.co/storage/v1/object/public/tweet-media/avatars/marclou.jpg"},"replyRatio":0.2595419847328244},{"id":"f0c12f7e-1f07-4594-93a1-625b2f98a42d","tweet_url":"https://x.com/dhh/status/2096695103104393606","tweet_text":"THAT'S A LOT OF TOKENS FOR OMARCHY!!\n\nThanks again to the awesome team at @AIatMeta for supporting us as Founding Corporate Patrons for the Omacom Foundation. We will put these tokens to great, endless use 🙏","summary":"Meta's significant token donation to the Omacom Foundation provides builders and AI practitioners with substantial computational resources to develop and test large-scale AI systems without bearing the full cost themselves. This corporate patronage model creates accessibility for founders working on AI projects, enabling more experimentation and innovation by reducing the financial barriers to accessing expensive token budgets needed for model training and inference.","author_name":"DHH","author_handle":"dhh","timestamp":"2026-09-06T20:20:41+00:00","comment_count":95,"like_count":2522,"retweet_count":44,"submitted_at":"2026-09-06T20:25:03.330319+00:00","created_at":"2026-09-06T20:25:03.330319+00:00","seo_title":"Meta's Support Enables Omacom Foundation Token Initiative","bookmark_count":134,"image_url":"https://pbs.twimg.com/media/HRj01XSbwAAJFke.jpg","keywords":["artificial intelligence","machine learning","ai research","corporate partnerships","technology innovation","funding","tech community"],"video_url":null,"video_thumbnail_url":null,"image_grid_urls":null,"profile_id":"a4a27950-7490-4321-b10a-2730cf3c28d6","link_card_url":null,"link_card_title":null,"link_card_image_url":null,"link_card_domain":null,"is_pinned":false,"pinned_at":null,"content_type":"tweet","article_title":null,"article_image_url":null,"slug":null,"quality_score":2,"noindex":false,"profiles":{"id":"a4a27950-7490-4321-b10a-2730cf3c28d6","handle":"dhh","name":"DHH","avatar_url":"https://dcuhjhnlzlpnshikrfwz.supabase.co/storage/v1/object/public/tweet-media/avatars/dhh.jpg"},"replyRatio":0.03766851704996035},{"id":"0630fc75-cce3-439b-82e7-593e5208292a","tweet_url":"https://x.com/satyanadella/status/2096633944099942713","tweet_text":"It was a great week for innovation across the model ecosystem. We're bringing these new models into Copilot, enabling it to take on increasingly complex work, from quick questions to delegated tasks and, increasingly, complete long-running jobs through Autopilots.\n\nHere's one fun example: using an Opal-powered Autopilot running on a secure Windows 365 Cloud PC, Copilot goes through a month of trail cam footage, finds every animal sighting, creates a highlight reel of the best clips, labels each one with the camera, date, and species, catalogs every sighting in a spreadsheet, builds a PowerPoint summarizing the findings, and shares everything in Teams for colleagues to review.\n\nThis is the next frontier for Copilot: software that doesn't just assist with work, but can own and complete entire tasks that unfold over hours or days.","summary":"New multimodal models integrated into Copilot enable autonomous task execution through Autopilots, allowing AI to handle complex, long-running workflows independently rather than requiring real-time human guidance. This shift from conversational assistance to delegated task ownership represents a significant capability leap for enterprise AI, expanding use cases from immediate queries to unsupervised project completion across hours or days of processing.","author_name":"Satya Nadella","author_handle":"satyanadella","timestamp":"2026-09-06T16:17:40+00:00","comment_count":94,"like_count":970,"retweet_count":100,"submitted_at":"2026-09-06T16:40:03.132177+00:00","created_at":"2026-09-06T16:40:03.132177+00:00","seo_title":"Copilot Gains Ability to Complete Long-Running Tasks Autonomously","bookmark_count":191,"image_url":null,"keywords":["artificial intelligence","automation","machine learning","software engineering","productivity","task automation","enterprise software","workflow automation","ai assistants","digital transformation"],"video_url":null,"video_thumbnail_url":"https://pbs.twimg.com/amplify_video_thumb/2096633527827922944/img/SyER7QA3yawo18aO.jpg","image_grid_urls":null,"profile_id":"7c20620e-3f94-4ed9-b948-67b27d427887","link_card_url":null,"link_card_title":null,"link_card_image_url":null,"link_card_domain":null,"is_pinned":false,"pinned_at":null,"content_type":"tweet","article_title":null,"article_image_url":null,"slug":null,"quality_score":7,"noindex":false,"profiles":{"id":"7c20620e-3f94-4ed9-b948-67b27d427887","handle":"satyanadella","name":"Satya Nadella","avatar_url":"https://dcuhjhnlzlpnshikrfwz.supabase.co/storage/v1/object/public/tweet-media/avatars/satyanadella.jpg"},"replyRatio":0.09690721649484536},{"id":"71a35fb0-c109-4a2d-b374-cf8525ca2232","tweet_url":"https://x.com/mattshumer_/status/2096636126345703665","tweet_text":"Human attention was the last bottleneck on token usage.\n\nAstra and Fable 5.1 just removed it.\n\nYou can now give an agent an ambitious goal, walk away, and come back days later to a finished project.\n\nUsage is about to go vertical.","summary":"The removal of human attention as a constraint on token usage fundamentally changes AI agent economics and capability—builders can now assign complex, multi-day tasks without active supervision, enabling autonomous project completion at scale. This shift will dramatically increase aggregate token consumption across applications, forcing practitioners to optimize for efficiency and cost management while requiring founders to rethink pricing models and infrastructure assumptions around sustained AI workload processing.","author_name":"Matt Shumer","author_handle":"mattshumer_","timestamp":"2026-09-06T16:26:20+00:00","comment_count":88,"like_count":706,"retweet_count":23,"submitted_at":"2026-09-06T17:25:03.016633+00:00","created_at":"2026-09-06T17:25:03.016633+00:00","seo_title":"Agent Token Usage About to Accelerate Dramatically","bookmark_count":86,"image_url":null,"keywords":["artificial intelligence","machine learning","ai agents","automation","productivity","software engineering","innovation","saas","growth","technology"],"video_url":null,"video_thumbnail_url":null,"image_grid_urls":null,"profile_id":"06532f97-d6f8-48c4-a0cc-314a1442fb0f","link_card_url":null,"link_card_title":null,"link_card_image_url":null,"link_card_domain":null,"is_pinned":false,"pinned_at":null,"content_type":"tweet","article_title":null,"article_image_url":null,"slug":null,"quality_score":7,"noindex":false,"profiles":{"id":"06532f97-d6f8-48c4-a0cc-314a1442fb0f","handle":"mattshumer_","name":"Matt Shumer","avatar_url":"https://dcuhjhnlzlpnshikrfwz.supabase.co/storage/v1/object/public/tweet-media/avatars/mattshumer_.jpg"},"replyRatio":0.12464589235127478},{"id":"c962633b-a05a-4484-94ea-1b5a9235a927","tweet_url":"https://x.com/mattpocockuk/status/2096666329495257563","tweet_text":"What techniques do you use for making AI-authored PR's easier to review?\n\n- I.e. use /show-me by @dexhorthy for easy-to-read diffs\n- Describe the changes in pseudocode\n- Mermaid diagrams\n- Evidence of TDD\n\nThe wildest version of this I've heard is @dctanner's agent, who uses Playwright to record a video of the frontend feature working with text-to-speech over the top. So the agent literally talks you through its change.","summary":"As AI systems increasingly generate code contributions, reviewers need structured techniques to validate correctness and intent—visual diffs, pseudocode descriptions, diagrams, and test-driven evidence all reduce cognitive load and catch errors faster than raw code alone. The most advanced approach, using Playwright recordings with text-to-speech narration, demonstrates that AI agents can provide multimodal proof-of-work that makes review comprehensive and efficient, setting a new standard for AI-assisted development workflows.","author_name":"Matt Pocock","author_handle":"mattpocockuk","timestamp":"2026-09-06T18:26:21+00:00","comment_count":86,"like_count":1233,"retweet_count":49,"submitted_at":"2026-09-06T18:45:03.37541+00:00","created_at":"2026-09-06T18:45:03.37541+00:00","seo_title":"Techniques for Reviewing AI-Generated Pull Requests","bookmark_count":1673,"image_url":null,"keywords":["artificial intelligence","code review","software engineering","programming","automation","developer tools","machine learning","productivity"],"video_url":null,"video_thumbnail_url":null,"image_grid_urls":null,"profile_id":"7fad5a82-3de4-4ad0-b5b4-0ab7ca4f4067","link_card_url":null,"link_card_title":null,"link_card_image_url":null,"link_card_domain":null,"is_pinned":false,"pinned_at":null,"content_type":"tweet","article_title":null,"article_image_url":null,"slug":null,"quality_score":7,"noindex":false,"profiles":{"id":"7fad5a82-3de4-4ad0-b5b4-0ab7ca4f4067","handle":"mattpocockuk","name":"Matt Pocock","avatar_url":"https://dcuhjhnlzlpnshikrfwz.supabase.co/storage/v1/object/public/tweet-media/avatars/mattpocockuk.jpg"},"replyRatio":0.06974858069748581},{"id":"fe6dd678-6ef5-426d-abd2-bf52b14c9d99","tweet_url":"https://x.com/lydiahallie/status/2096668098422272007","tweet_text":"I've been running `/claude-api prompt-audit` when upgrading projects to Fable 5.1 and it's helped so much\n\nIt goes through your setup (CLAUDE.md, skills, etc.), flags instructions the new model doesn't need anymore and proposes a diff. Also works if you don't use the API!","summary":"The `claude-api prompt-audit` tool streamlines model upgrades by automatically analyzing project configurations and identifying obsolete instructions, reducing manual refactoring work when migrating to newer Claude versions like Fable 5.1. This utility is valuable for builders maintaining production systems because it provides concrete diffs and works across both API-based and non-API implementations, lowering the friction and risk of keeping projects current with model improvements.","author_name":"Lydia Hallie ✨","author_handle":"lydiahallie","timestamp":"2026-09-06T18:33:23+00:00","comment_count":84,"like_count":1138,"retweet_count":43,"submitted_at":"2026-09-06T19:40:03.414211+00:00","created_at":"2026-09-06T19:40:03.414211+00:00","seo_title":"Prompt Audit Tool Helps Migrate Projects to Fable 5.1","bookmark_count":1060,"image_url":null,"keywords":["api development","software engineering","programming","machine learning","prompt optimization","developer tools","code refactoring","ai integration"],"video_url":null,"video_thumbnail_url":null,"image_grid_urls":null,"profile_id":"db84becf-6abb-4412-acf2-2a781029677c","link_card_url":null,"link_card_title":null,"link_card_image_url":null,"link_card_domain":null,"is_pinned":false,"pinned_at":null,"content_type":"tweet","article_title":null,"article_image_url":null,"slug":null,"quality_score":6,"noindex":false,"profiles":{"id":"db84becf-6abb-4412-acf2-2a781029677c","handle":"lydiahallie","name":"Lydia Hallie","avatar_url":"https://dcuhjhnlzlpnshikrfwz.supabase.co/storage/v1/object/public/tweet-media/avatars/lydiahallie.jpg"},"replyRatio":0.07381370826010544}],"count":10}