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Documenting my whole journey https://xitter.gq/t.co/lCIXPumIA4

Philippines
Joined January 2015
Photo by eduardo. (@wardvisual)Photo by eduardo. (@wardvisual)Photo by eduardo. (@wardvisual)Photo by eduardo. (@wardvisual)Photo by eduardo. (@wardvisual)Photo by eduardo. (@wardvisual)Photo by eduardo. (@wardvisual)Photo by eduardo. (@wardvisual)Photo by eduardo. (@wardvisual)
Bruh, instead of building one app that makes $100K/month, this guy built 1,000 apps that make $100/month each. 🤣
This guy has almost 1,000 active apps on the app store😭 bro is the AI slop final boss
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Astra はAGIです computer useでサイトの動作確認中
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We are reseting usage for all paid users of Codex and ChatGPT Work. Please continue reading for an update on Codex usage limits. The team has been working around the clock, going through thousands of reports and shipping fixes. Depending on how you use Codex, you should see your usage go between 10% and 50% further than before. We really went with a fine comb, with many uncovered small things being longstanding and here is what we found and fixed: - Compaction. We were keeping old images during compaction, sometimes making the context large enough to trigger compaction again. After the fix, usage dropped around 10% for users making heavy use of images. Fixed. - Memory. Background memory workers could inherit Stop hooks and keep running when the hook wouldn’t let them finish. This affected fewer than 1% of users, with the long tail being pretty bad and we saw one example thread check whether it could stop 15,000 times. Fixed. - Goals. In some cases, a set /goal could finish and then keep going past the intended stop condition, or the model would keep retrying broken tools without stopping. We saw examples consume anywhere from 15% to 70% of a weekly allowance. Fixed. - Automations. Some custom schedules could run more frequently than configured. Fixed. - Subagents. Smaller models (e.g. Luna) sometimes picked more capable helpers without being explicitly asked. The same was true where the orchestrating model not running in /fast mode could request sub-agents to run /fast. Fixed. - Computer History. The older implementation could lead to repeatedly summarizing overlapping activity. For some cases we saw it consume up to one fifth of the weekly usage per week. Fixed. - Rolling task summaries. Ordinary turns were triggering extra background requests. These added about 1% to token usage. Small each time, but it adds up. We have disabled this. - MCP. Some tool results could be encoded twice. We also found tool instructions getting cut off and fetched again. Fixed. We’ve also made architectural changes to prevent these from regressing and our teams will get paged if it happens regardless. We are also working on showing you directly in the app where your usage goes so you don’t have to guess. Goes without saying that we’re resetting usage limits and I hope you enjoy a very nice Saturday!
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Este tipo explica cómo crear páginas web profesionales con GPT-5.6 Sol. Un tutorial de 21 minutos donde explica paso a paso cómo construir diseños con un acabado cinematográfico. 🔖 Guárdalo. Vale cada minuto.
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list of 10 active AI researchers on X: 1. @karpathy — Andrej Karpathy 2. @rasbt — Sebastian Raschka 3. @AndrewYNg — Andrew Ng 4. @drfeifei — Fei-Fei Li 5. @demishassabis — Demis Hassabis 6. @GaryMarcus — Gary Marcus 7. @ai_explorer25 — AI Explorer 8. @maximelabonne — Maxime Labonne 9. @chipro — Chip Huyen 10. @ilyasut — Ilya Sutskever
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Believe me, this is the only playlist you need to become a Backend Engineer in 2026
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10 repositorios de GitHub para scrapear todo internet Guárdalos todos. Cada uno extrae datos limpios de cualquier web. Ese nivel de acceso normalmente exige llamadas de ventas y contratos.
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✨ I think I've been coding almost solely on my VPS with Claude Code for almost a year now All I can say it's just fantastic: - no need to keep laptop open ever - no laptop battery drain - can switch to phone or any other device you like whenever you want to continue (like when you're outside) - it just keeps going all night while you sleep (esp with /goal) - you can start hacky projects from scratch and go live in seconds because you're already on the server which is great to ship things and get it used by people fast (not stuck on your local laptop webserver) - it just feels like living in the future I used to code on my laptop, test locally, then push to GitHub, then it auto pulled and deploy to production, that'd take me ~1 minute to get a new feature out But then when I bought a new Mac Book Pro a few years ago I was too lazy to install a local Nginx environment, so I just started pushing to prod and everything went fine, and I sped up deploying to about 3 seconds from laptop to server, which people called me crazy for too But now with Claude Code on my VPS in the last year, it just live edits on my production server, which sounds like it should go wrong but it just doesn't, it's very careful and only twice in 12 months messed up which meant my site didn't load for 10 seconds which is OK If I wasn't working solo, like at a big company, I' think I'd recommend the same workflow but with a staging server, so it wouldn't touch production, for safety and regulatory reasons etc. but for me it's fine I agree with @theo completely, it's clear to me this is where it's going, also seeing @karpathy with Claude moving to the cloud (via Slack etc), I think AI "agents" and AI coding will operate on servers / from the cloud first P.S. I have 3-2-1 backups, multiple on-site and off-site backups which you should also even if you wouldn't code with AI, safety first!
I’d estimate we’re ~6 months from most devs moving their code agents off of their laptops
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Teams are go for launch with a $135 price per share for the SpaceX IPO → spacexipo.com/#priceannounce…
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JUST IN: SpaceX IPO reportedly expected to mint 4,000 new millionaires — “from engineers to cafeteria workers”
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Spent the last few days exploring how far cheaper models can go for real-world coding tasks. The experiment: build a terminal app in TypeScript with Mimo 2.5 on OpenCode. Not because I needed a terminal app, mostly to understand the practical limits of low-cost models.
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5 free GitHub bots for trading on Polymarket… 5 different strategies for 5 different trading situations. Each of these tools comes with a detailed step by step setup and usage guide in English: 1. This bot can automatically manage your limit orders to maximize liquidity rewards (useful for liquidity providers on Polymarket). GitHub: github.com/lihanyu81/polymar… 2. The bot, which analyzes the real behavior of any Polymarket trader, finds repeated patterns in his trades, explains which strategies he uses and how you can actually adapt them to your own trading. GitHub: github.com/ent0n29/polybot 3. A bot with 118+ ready to use strategies and tools for prediction markets, including Smart Money, Binance-Polymarket latency, Mean Reversion and more… The most interesting one is Polymarket - Kalshi Cross Arbitrage - it finds differences in prices between platforms and can manage trades automatically. GitHub: github.com/alsk1992/CloddsBo… 4. A Chinese weather bot that analyzes multiple sources in real time, like forecasts, public airport data and aviation observations (METAR + SPECI) and then generates a detailed weather report for a specific city and day. GitHub: github.com/yangyuan-zhen/Pol… 5. This is a bot-toolkit that includes copy trading, arbitrage, market making, spread farming, whale alerts, sports trading and more… GitHub: github.com/HarrierOnChain/Pr… Almost every tool here has a DRY RUN mode, so you can test them on real markets, but with fake funds.
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True
The most important thing in life is having true friends.
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Local AI is about to be competitive. I will do everything in my power to make it better than Claude desktop/claude code by end of year.
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SOMEONE JUST RAN LLAMA 70B LOCALLY ON A MACBOOK FOR 11 HOURS ON A FLIGHT. no wifi. no API. no subscriptions. cleared his entire client queue before landing. local AI is not a hobby anymore.
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Final setup for AroundUs's Agentic tech team (Admin, Dev, UI/UX) : - Green : ready to work - Blue : working - Red : Needs input LED Device : Luxafor Flag (~30€) or RP2040-Zero (~5€)
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We forked the leaked Claude Code source and made it work with ANY LLM: GPT, DeepSeek, Gemini, Llama, MiniMax. Open source. The name is OpenCode
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