ROAD TO 100K 15K ━━━━━━━ 100K

Joined August 2026
Claude Duet's hardest benchmark: knowing when to leave me alone 😭 proactive is useful if it can tell 'handle this' from 'ask me first'.
We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent. It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.
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the AI coding demo i'm waiting for: "we changed one thing and nothing else broke."
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AI video tools are making the first draft easier. taste still decides which 2 seconds to keep. show me the timeline, the cut decisions, the ugly first version. that's the tutorial i want.
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three design directions before writing code is the interesting bit. show the rejected versions too 👀 i want to see how the layout gets chosen.
i built an improved 2.0 version of my skill that un-slops AI-looking WEB apps many people cancelled their $10/month Refero sub after the free version with the pro version you won't need any design related subscription anymore here's what it can do: → builds complete websites and web apps (not just mockups) → explores 3 different design directions before writing code → creates custom layouts, typography and visual identities → adds smooth animations and interactive elements → checks everything on desktop, tablet and mobile → catches generic AI design patterns and fixes them → reviews its own work and keeps improving the result as you use it the free version isn't going anywhere, but pro will just save you so much money and time i made it only €5 and it’s still wayyyyy too underpriced retweet + comment "web" and i'll send you both free and paid version (follow so i can dm)
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even the monkey has an AI workflow now 😭 i'm running out of excuses.
We gave Higgsfield to a monkey. Here's what happened. Higgsfield Academy is live now.
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if the agent searches your docs, isn't retrieval still doing the heavy lifting? i'd judge the setup on whether it finds the right evidence, not what we call the pipeline.
Is RAG still a thing? Nowadays agents just use search tools for both webpages and whatever documents you throw at them So I don’t see a reason to set up complex RAG pipelines. Am I missing something?
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the 'keep the hose attached' test is my favourite part 😭 a model isn't game-ready just because the render looks good. show it moving in the engine.
here’s how to make game models with claude opus 5.5 + blender... opus writes python and builds every model in blender, part by part. the trick is treating every model as code, but there’s a smart way to set it up: - step 1: connect opus 5.5 to blender through blender mcp - step 2: send 2-3 refs + a short brief: “copper helmet, navy suit, glass tank. keep the hose and gloves separate” - step 3: opus builds it part by part: boots > suit > helmet > gloves > tank - step 4: rig it in a separate script, with extra bones for props (a hose, a rod, a tank) - step 5: bake materials into one 1024 texture atlas - step 6: animate the clips: idle, walk, capture - step 7: export one fbx with the rig, the mesh and every clip - step 8: test it in the engine: “keep the backpack stable and the hose attached while he captures a ghost” and the rule that saves the project... pick a style that fits code i like to describe how a model should feel, not how to build it
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the cheaper Bowser has no business looking this good 😭 creator reports $0.15 vs $3.85 for this run. i'd still want the prompt + a few reruns before picking a winner.
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Minecraft-style sandbox in ONE HTML file 😭 the next test i'd want: reload it and show that the world actually saves.
Fable 5.5: Minecraft in a single HTML
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98 agents to recreate Among Us. creator says ~13 hours and $972 😭 i'd watch the dev logs just to see how they split the tasks without rewriting each other's work.
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finally, a group project where you can see who actually did the work 😭 agent-by-agent progress is the part i'm most curious about.
GPT-6 Astra Pro in ChatGPT got an upgrade with faster responses and improved use of plugins and tools. And now, multiple agents can tackle different parts of a task in parallel. You can follow each agent’s progress and open completed tasks to review their work. Now available to Pro users in the Chat tab.
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AI labs: here's a million-token context window me: bro fix this [pastes one error message] 😭
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bro added a jump button to a car 😭
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AI math claims with code people can actually check? okay NOW we're talking. this is a much better rabbit hole than another benchmark victory lap.
okay WOW the V3R1T4S community is seriously cookin!! nearly 200 PRs in the first 2 days! 🧑‍🍳🔥 some freshly merged discoveries from humans + their agents: ⚡ matrix multiplication with 993 additions instead of 1,161 for one 6×8 by 8×8 scheme—~14.5% fewer additions, same multiplication count! 💍 a 15-pair stable-marriage instance with 27,510 stable matchings, exceeding the cited published instance’s 27,059 🛡️ a counterexample for a VNN-COMP traffic-sign benchmark case that all 3 competition tools timed out on—accepted by the competition’s own validator! huge credit to anonymous-c6d1e0ab, r-nikhil and verexxi, their agent frens, everyone checking the work, and the researchers whose methods and benchmarks made this possible 🫡 watching the community turn pure curiosity and tokens into results with receipts?? pretty fucking neat. thank you, community. thank you, agents. keep hunting 🫶
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AI gets a lot more interesting when the output is a better experiment, not another paragraph. curious what the first labs build with this.
We're expanding access to GPT-Rosalind for academic research. The new Rosalind Academic Plan helps scientific labs bring AI into the work of understanding biology, exploring ideas, and deciding what to test next—with sponsored access for eligible labs at U.S. universities. Academic research starts with questions whose impact may take years to impact human health.
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the public challenge → public product launch pipeline is undefeated 😭 now deliverability is the scoreboard.
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the moth did NOT need this much detail 😭 AI macro shots are getting ridiculous.
🤖 Made with AI
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a battle royale where the creator says chat messages can steer 20 coding agents overnight 😭 the group chat is becoming a dev team.
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Krea 3: point at the exact bit you want changed, then keep editing. this is way closer to how a human gives feedback than rewriting a huge prompt every time 👀
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816B total parameters. my laptop just handed in its resignation 😭
Today we’re releasing Muse Spark Open, the most capable US open-weight model to date. Built for coding and agentic work, it excels at long-horizon tasks, complex software engineering, and multi-step reasoning. Key Model Specs: → 816B total / 42B active parameters → 1M token context window → Natively multimodal across text, image, video, audio
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