art, design, programming, books, songs, dog, and cats. Not in that order!

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Joined September 2009
Chawanan? retweeted
This guy built a two-sided trading bot on Polymarket and made $233,695 His algorithm trades short-term crypto Up/Down markets using asynchronous complete-set accumulation and dynamic inventory management: 1. Starts building inventory almost as soon as the market opens Its first purchase occurs a median of 33 seconds after the market opens It keeps buying through most of the trading window. In 5 minute markets, its last purchase occurs a median of 223 seconds after opening 2. Adds the opposite outcome to its position It bought both Up and Down in 88.76% of markets It starts buying the opposite side a median of 35 seconds after its first purchase. It then keeps switching between outcomes as the market reprices 3. Turns most of its inventory into complete sets 89.82% of the shares it buys can be matched into Up + Down pairs The average combined cost of a pair is 96.35c, giving it an edge of 3.65c But this is not pure arbitrage Only 58.66% of two-sided markets ended up with an average combined Up + Down cost below $1. The remaining 10.18% of shares are unpaired, leaving a directional residual Its Polymarket account: norm1e69 You can build your own trading bot here: join.horizon.trade/retrovali… (A trial is available after signing up) The algorithm’s main edge comes from asynchronous pairing: it keeps switching between Up and Down, matches most of its inventory into complete sets, and retains directional exposure through the unpaired remainder
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INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 2 hour with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and bookmark it now.
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Chawanan? retweeted
whoever leaked this is f*cking crazy someone mapped 300+ AI agents into one GitHub repo - and basically leaked the shortlist of what's actually worth trying. coding agents. browser agents. memory. research. multi-agent teams. sandboxes. all sitting on one page. but everyone opens it and installs the same five names. the interesting stuff is what nobody reposts. want an AI that hacks your own app before someone else does? -> Strix github.com/usestrix/strix want a thousand agents arguing about what happens next, so you get a forecast instead of a guess? -> MiroFish github.com/666ghj/MiroFish want your agent to know everything you did on your computer this week? -> screenpipe github.com/screenpipe/screen… want memory that understands how facts connect, not a pile of old chats? -> Graphiti github.com/getzep/graphiti want an agent clicking through a whole desktop that isn't your laptop? -> Cua github.com/trycua/cua and that's barely scratching it. ~225k stars across five repos most people have never opened. the real cheat code isn't downloading all of them. it's opening the repo before you build anything and asking: "has someone already solved this?" because there's a pretty good chance the answer is yes - and the open-source version already has thousands of people testing it for you. I went through the map and pulled out the agents I'd actually start with. full AI agent list below
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Chawanan? retweeted
One of my friend makes $1.2 million a year as an Anthropic engineer. I asked him how he learned prompting so well. He sent me a video that was never supposed to get out. Their core team's prompting playbook. You won’t find anything better about prompting than this 30 minutes video. I watched it last night. Halfway through, I realized I've been using Claude completely wrong for two years. Watch it, then read the article below.
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Chawanan? retweeted
Ported Unity's Megacity (GDC 2019) to Three.js ✅ ~45 fps on a MacBook Air M1 ✅ Full demo compressed down to 75 MB ❌ No live link because of Unity's asset license 😕
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made Asteroids an AI autopilot 🚀 Laya-MLX runs locally on my Mac. The game sends Python its state and action rules as JSON; Laya returns a decision in milliseconds. It's open and fine-tunable. Could this control racing drones? 🛸 #jev ?
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介绍比Jev快50倍,在你设备上跑的laya-mlx! 只在你的设备上占用最高1G内存 Laya是一个开源的类似于Jev的,基于文本输出概率的分类系统 我将其移植到MLX,并且做了一些性能优化! 视频中就是这个模型在我的本地M3Max上玩贪吃蛇 这个模型能够以每秒决策60次的速度玩贪吃蛇! github.com/mizorewww/laya-ml…
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🌊 AQUA / SHIFT ชายฝั่งที่เปลี่ยนไป เราจะเข้าใจกรุงเทพฯ “กรุงเทพฯ เสี่ยงจมน้ำจากระดับน้ำทะเลที่สูงขึ้น” แต่ในทางภูมิศาสตร์จริง ระดับน้ำทะเลโลกที่สูงขึ้น ไม่ได้หมายความว่าน้ำจะท่วมทุกจุดเท่ากัน
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- 2. Sea-level outlook (แนวโน้มระดับน้ำทะเลตามหลักวิทยาศาสตร์): เชื่อมโยงข้อมูลคาดการณ์ระดับน้ำทะเลเฉลี่ยโลกจากรายงาน IPCC AR6 ตามฉากทัศน์การปล่อยก๊าซเรือนกระจก SSP1-2.6, SSP2-4.5 และ SSP5-8.5 ตั้งแต่ปี 2030 – 2100 พร้อมช่วงความเป็นไปได้
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- 3. Read the landscape สลับดูความลึกน้ำท่วม (Flood Depth), ระดับความสูงพื้นดินจริง (Elevation), และความลึกพื้นทะเลอ่าวไทย (Seabed Depth / Bathymetry) 📷 Give it a try here: aqshi.ur.dog
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Testing ;)
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Chawanan? retweeted
spin 02
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